... Physical Literacy and Motivation to Engage in Physical Activity after Bariatric Surgery Submitted to the Faculty of the College of Health Sciences University of Indianapolis In partial fulfillment of the requirements for the degree Doctor of Health Science By: Deborah Pillarella, MEd Copyright June 22, 2023 By: Deborah Pillarella All rights reserved, MEd Approved by: Laura Santurri, PhD, MPH, CPH Committee Chair Elizabeth S. Moore, PhD Committee Member Carol Kennedy-Armbruster, PhD Committee Member Accepted by: Laura Santurri, PhD, MPH, CPH Director, DHSc Program Chair, Interprofessional Health & Aging Studies University of Indianapolis Stephanie Kelly, PT, PhD Dean, College of Health Sciences University of Indianapolis PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS Physical Literacy and Motivation to Engage in Physical Activity after Bariatric Surgery Deborah Pillarella Department of Interprofessional Health & Aging Studies, University of Indianapolis 1 PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 2 Abstract Background: Long-term weight loss and improved health after bariatric surgery require patients to adhere to a healthy post-surgical lifestyle, including regular physical activity (PA). Physical literacy is a holistic, multifaceted concept fundamental to an individual's participation in lifelong PA. Physical literacy and its relationship to motivation to engage in PA after bariatric surgery is currently void from the patients journey. Purpose: This study explored a post-bariatric surgical patient population at two hospitals in Northwestern Indiana. It assessed if there was a relationship between perceived physical literacy and motivation to engage in PA after bariatric surgery. Method: This quantitative, non-experimental single-stage survey study used a crosssectional design. The population was a homogeneous, convenience, non-random sampling of post-bariatric surgical patients who voluntarily and anonymously were invited to an email or postal mailed survey. Results: A total of 128 respondents were included in the final sample. Bivariate correlations revealed significant associations between PPLI Summary score (r = .44, p < .001), sub-scales of Knowledge and Understanding (r = .57, p < .001) and Sense of Self (r = .35, p < .001) with the Autonomous Motivation Index. Linear regression analysis showed that the model significantly predicted the Autonomous Motivation Index F(2, 125) = 23.54, p < .001, adjusted R2 = .31. The Knowledge and Understanding score, which significantly contributed to the model (p < .001), increased by one unit and the Autonomous Motivation Index score increased by 1.37. No significant correlations were found between age, motivation, or perceived physical literacy (p > .05). This suggested that perceived physical literacy (PPL) may play a role in motivating post-bariatric surgical patients to engage in PA. Keywords: physical literacy, perceived physical literacy, motivation, physical activity (PA), bariatric surgery PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 3 Acknowledgments With the culmination of this doctoral dissertation, I acknowledge the remarkable individuals whose contributions have shaped its outcome and significance with profound gratitude and appreciation. First and foremost, my heartfelt gratitude goes to the esteemed members of my dissertation committee: Dr. Laura Santurri, Dr. Elizabeth Moore, and Dr. Carol KennedyArmbruster. Their expertise, guidance, and dedicated commitment have played a pivotal role in shaping my research trajectory. Through their scholarly input and resolute support, they elevated the quality and integrity of this dissertation. I am equally indebted to the leadership team of the Community Healthcare System for their backing and encouragement throughout my academic pursuit. Their endorsement and cooperation have been instrumental in the successful execution of this research, particularly in granting permission to utilize our patient population for this study. Their consistent support has been a testament to their dedication to advancing healthcare knowledge and improving patient care. Furthermore, I extend my appreciation to the dedicated staff of the Healthy 4 Life Department of Bariatrics, whose cooperation and support were crucial in promoting, distributing, and collecting data for this study. Their commitment and diligent assistance were invaluable in bringing this research to fruition. I am immensely grateful to the post-surgical bariatric patients who graciously shared their experiences, as their contributions formed the cornerstone of this study's success. PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 4 In addition to the academic mentors and esteemed healthcare collaborators, I would like to express my sincere and heartfelt gratitude to my parents, Richard and Josephine Ban. Their unwavering belief in me and support throughout my academic journey have been immeasurable. Our cherished weekly Sunday morning coffee meetups, filled with attentive listening to my research journey, provided invaluable motivation and encouragement. I thank my husband, Jim, for his unwavering support, understanding, and patience. Amidst the rigors of this educational process, he was a dependable anchor, accommodating my late study nights and weekends devoted to my pursuit. His confidence in my capabilities has been an indispensable source of fortitude. Lastly, I want to express my deepest appreciation to my sons, Joe and Luke. Their unwavering love, understanding, inspiration, and encouragement have been the bedrock of my strength throughout this transformative journey. The faith they had in me and the sacrifices our family made to support my academic dream hold a special place in my heart. I am eternally grateful for their steadfast support and boundless love. PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 5 Table of Contents Introduction ..................................................................................................................................... 8 Problem Statement .......................................................................................................................... 9 Purpose Statement ........................................................................................................................... 9 Research Questions ......................................................................................................................... 9 Objectives ..................................................................................................................................... 10 Significance of the Study .............................................................................................................. 10 Literature Review.......................................................................................................................... 11 Obesity .......................................................................................................................................... 11 Bariatric Surgery ........................................................................................................................... 12 Post-Bariatric Surgery Guidelines for Successful Weight Loss ........................................... 13 Physical Activity Versus. Structured Exercise ............................................................................. 15 Physical Literacy........................................................................................................................... 16 Motivation and Engaging in PA ................................................................................................... 18 Motivation and Age .............................................................................................................. 18 Self-Determination Theory ........................................................................................................... 19 Conclusion .................................................................................................................................... 21 Method .......................................................................................................................................... 21 Study Type and Design ................................................................................................................. 22 Participants .................................................................................................................................... 22 PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 6 Data ............................................................................................................................................... 23 Demographic Independent Variables .................................................................................... 23 Additional Independent Variable .......................................................................................... 24 Outcome/Dependent Variable ............................................................................................... 24 Operationalized Variables ..................................................................................................... 24 Instruments .................................................................................................................................... 25 Perceived Physical Literacy Instrument................................................................................ 25 Situational Motivation Scale ................................................................................................. 26 Procedures ..................................................................................................................................... 27 Recruitment ........................................................................................................................... 28 Informed Consent.................................................................................................................. 28 Pre-data collection ................................................................................................................ 29 Data Collection ..................................................................................................................... 29 Data Management ................................................................................................................. 31 Incentive Gift Card Drawing ................................................................................................ 32 Statistical Analysis ........................................................................................................................ 33 Descriptive Statistics ............................................................................................................. 33 Inferential Statistical Tests .................................................................................................... 33 Results ........................................................................................................................................... 34 Discussion ..................................................................................................................................... 37 PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 7 Limitations .................................................................................................................................... 41 Future Opportunities ..................................................................................................................... 42 Conclusions ................................................................................................................................... 43 References ..................................................................................................................................... 46 Table 1 Sample Demographics and Descriptive Statistics ........................................................... 70 Table 2 - Sample Demographics and Descriptive Statistics ......................................................... 72 Table 3 - Correlations between PPLI Summary Score and Sub-Scores and Autonomous Motivation Index ........................................................................................................................... 73 Table 4 - Correlations between PPLI Summary Scores and Sub Scores and Control Motivation Index ............................................................................................................................................. 74 Table 5 - Linear Regression Model Predicting Autonomous Motivation Index from Knowledge and Understanding and Sense of Self ........................................................................................... 75 Table 6 - Correlations between Age and Motivation Measures ................................................... 76 Table 7 - Correlations between Age and PPLI Summary Scores and Sub Scores ....................... 77 Appendix A ................................................................................................................................... 78 Appendix B ................................................................................................................................... 79 Appendix C ................................................................................................................................... 80 Appendix D ................................................................................................................................... 81 Appendix E ................................................................................................................................... 84 Appendix F.................................................................................................................................... 90 PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 8 Introduction According to the World Obesity Atlas (2022), global obesity is on track to double, resulting in an estimated one billion individuals living with obesity by 2030. Obesity is a chronic, multi-factorial, relapsing, and progressive condition (Bray et al., 2017). The Centers for Disease Control and Prevention (CDC) (2022a) reported the highest level in its history, with approximately 42.4% of adults in the United States having obesity. Garvey et al. (2016) and Wolfe et al. (2016) report that the condition of obesity increases the risk of over 60 comorbidities, including type 2 diabetes, dyslipidemia, sleep apnea, hypertension, stroke, coronary heart disease, gallbladder disease, osteoarthritis, cancer and more. Bariatric surgery can lessen a patient's weight quickly and offer a significant opportunity to reduce or resolve many co-morbid conditions (Arminian et al., 2015; Buchwald et al., 2009; Chang et al., 2014). Nevertheless, bariatric surgery is a powerful tool, not an elixir, for weight loss. Patients must follow post-surgical guidelines for sustained weight loss, including a healthy diet and consistent physical activity (PA). According to the CDC (2022c), current PA guidelines consist of 150 minutes of moderate-intensity PA, 75 minutes of vigorous-intensity PA, or an equivalent combination of the two twice weekly. The current practice of prescribing a structured PA regime after bariatric surgery is suspect as it has not markedly increased patient adherence (Hood et al., 2016; Toussi et al., 2009; Welch et al., 2008). Research shows that physical literacy may be associated with consistent patterns of PA and thus improved overall health (Belanger et al., 2018; Cairney et al., 2019). Physical literacy is defined as motivation, confidence, physical competence, knowledge, and understanding of the importance of engaging in lifetime PA (Whitehead, 2010; Whitehead, 2019). Whitehead (2001; 2007; 2010) and Taplin (2019) argue that physical literacy is PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 9 foundational to being physically active, as it embodies participation in any PA, not just structured and prescribed activity. Physical literacy has emerged as a novel opportunity related to PA and health benefits (Whitehead, 2010; Belanger et al., 2018; Cairney et al., 2019; Jurbala, 2015) but has yet to be explored in the bariatric literature. Problem Statement Even though systematic reviews have shown that structured PA, referred to as exercise, has a positive relationship with increased weight loss after bariatric surgery (Jacobi et al., 2010; Livhits et al., 2010), a significant number of individuals do not engage in exercise post-surgery (Bond & King, 2014; Elkins et al., 2005; Toussi et al., 2009). Therefore, is the traditional practice of prescribing structured PA sessions using generalized guidelines not meeting the individual needs of today's bariatric patients? According to Whitehead (2019), exploring physical literacy may assist our understanding of engaging in PA with this population. Unfortunately, the bariatric literature does not mention physical literacy as an underlying concept of a physically active life post-bariatric surgery. This void is a problem and invites exploration into whether physical literacy is associated with a bariatric surgical patient's motivation to be physically active after surgery. Purpose Statement This study aims to explore if there is an association between physical literacy and motivation to be physically active in adults post-bariatric surgery and whether the motivation to engage in PA is associated with age. Research Questions To address the study purpose, the following research questions were answered. PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 10 1. Is there an association between perceived physical literacy and motivation to engage in PA among post-bariatric surgical adult patients aged 18-65 who had surgery at one of two Northwestern Indiana hospitals within the last six years? 2. Is there an association between age and motivation to engage in PA among postbariatric surgical adult patients aged 18-65 who had surgery at one of two Northwestern Indiana hospitals within the last six years? 3. Is there an association between age and perceived physical literacy among postbariatric surgical adult patients aged 18-65 who had surgery at one of two Northwestern Indiana hospitals within the last six years? Objectives 1. To determine the relationship between perceived physical literacy, measured with the Perceived Physical Literacy Instrument (PPLI; Sum et al., 2018), and motivation to engage in PA, measured with the Situational Motivation Scale (SIMS; Guay et al., 2000; Standage et al., 2003). 2. To explore the association between age and motivation to engage in PA, as measured with the SIMS (Guay et al., 2000; Standage et al., 2003). 3. To explore the association between age and perceived physical literacy, as measured with the PPLI (Sum et al., 2018). Significance of the Study This study is essential for the bariatric discipline to learn about physical literacy and how it relates to a patients motivation to engage in PA after bariatric surgery. By exploring the relationship, this study offers new insights for bariatric professionals to update their current practice of disseminating prescriptive, structured, general exercise programs to all ages post- PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 11 surgery. In addition, this studys findings convey valuable information to bariatric surgical programs to embrace and nurture the domains of physical literacy as antecedents to increasing motives for engaging in a physically active lifestyle post-bariatric surgery while considering diverse age group motivators in this population. Literature Review Obesity Obesity is diagnosed based on body mass index (BMI), which is defined as when an individual's body weight is 20% or more above what is considered healthy for their height (Centers for Disease Control and Prevention [CDC], (2022b). Obesity is a domestic and global issue (CDC, 2022b). It contributes to over 60 co-morbid conditions like type 2 diabetes, dyslipidemia, sleep apnea, hypertension, coronary heart disease, stroke, and cancer (CDC, 2021). According to the CDC (2021), the prevalence of obesity in the United States (US) in 2017 was nearly 42%, an increase of more than 10% from the previous reported period. Additionally, in 2017, severe obesity (individuals with a BMI >40) nearly doubled, increasing to 9.2% from 4.7% (CDC, 2021). Economically, obesity challenges the US with an annual estimated cost of $344 billion (CDC, 2022a). At the individual level, those with obesity had nearly $2,000 more medical expenses than those with a healthy weight (CDC, 2022a). In addition, the Millikin Institute (2020) estimated $1.02 trillion in indirect obesity costs related to lost workdays (Lopez et al., 2020). When combining all expenses, obesity costs the US approximately 6.76% of the 2018 Gross Domestic Product (Lopez et al., 2020). Obesity is a complex, multi-factorial medical condition whose causations include genetic predisposition, increased unhealthy food consumption, increased technological advancements PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 12 that reduce daily movement, and decreased PA (Chooi et al., 2019; Diels et al., 2020; Grundy, 1998; Hawkes et al., 2015). The Harvard School of Public Health (2012) states that unhealthy food choices certainly contribute to an increased risk of obesity; however, the toxicity of the food environment poses a far greater risk. Additional research shows that genetics, hormones, and epigenetics play a significant role in developing obesity (Thaker, 2017). Finally, the CDC (2022a) acknowledges that in addition to unhealthy eating patterns, lack of PA, insufficient sleep, social determinants of health, and certain illnesses and medications can contribute to obesity. In summary, no simple solutions exist to assist individuals with unhealthy body weight (CDC, 2021). All segments of society, including but not limited to the food and beverage industry, local and national government, elementary, secondary, and higher-level educational institutions, and healthcare, need to work together toward a comprehensive, multidimensional, systems-based approach that offers sustainable results to reduce the threat of obesity to the public's health (Grundy, 1998; Lee et al., 2017). Although a successful sustainable, multisegment plan has yet to be unveiled, bariatric surgery remains a viable solution (Arterburn et al., 2020; Rognoni et al., 2020). Bariatric Surgery Compared to non-surgical options for obesity, bariatric surgery results in significant and sustained weight loss and reduced related comorbidities if post-surgical guidelines are adhered to (American Society for Metabolic and Bariatric Surgery [ASMBS], 2019; Colquitt et al., 2014). According to the ASMBS (n.d.), individuals with a BMI > 40, over 100 pounds overweight, or a BMI > 35 with at least one or more comorbidities related to obesity and who have been unsuccessful at previous weight loss attempts may qualify for bariatric surgery. In addition, Angrisani et al. (2015) examined data from the International Federation for the Surgery of PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 13 Obesity and Metabolic Diseases and found that bariatric surgery has increased globally. The same holds domestically, with a nearly 100,000 increase in these surgical procedures from 20112019 (Estimate of Bariatric Surgery Numbers, 2021). Bariatric surgery, as with any surgery, may cause safety concerns (Arterburn et al., 2020). Anastomotic leaks, hernias, bleeding, ulcers, and even death are possible (Chang et al., 2014; Lim et al., 2018). However, current bariatric procedures use modern surgical techniques, reducing complication risk and demonstrating safety and efficacy (Aminian et al., 2014; Arterburn et al., 2020; Lim et al., 2018; Pomp, 2014). Since the early 2000s, bariatric surgery's estimated range of mortality rates has been between .03% to .20%. (Arterburn et al., 2020). Bockelman et al. (2017) used hazard ratio comparisons for bariatric surgery, cholecystectomy, knee arthroplasty, and colorectal resection in their nationwide study. They found that mortality rates after bariatric surgery were surprisingly lower than those of all other elective surgeries. Despite low complication risk and mortality, bariatric surgery without significant lifestyle changes can result in modest weight loss results, at best (Campos et al., 2020; Richardson et al., 2009). Post-Bariatric Surgery Guidelines for Successful Weight Loss According to Hood et al. (2018), significant and comprehensive lifestyle behavioral modifications are required for long-term weight loss sustainability after bariatric surgery. Therefore, in addition to regular follow-ups and attendance at monthly support groups (ASMBS, 2022), dietary changes and consistent PA are essential (Correia et al., 2019; Petridou et al., 2019; Zabatiero et al., 2015) for continued lifestyle changes and long-term improvements. Typically, bariatric surgical patients are educated on the importance of drinking 64 ounces of non-sugary, non-caffeinated fluid daily, eating 60-100 grams of protein daily, avoiding high sugar and high- PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 14 fat foods, and taking vitamin/mineral supplements for best outcomes (ASMBS, 2022). Adhering to these dietary guidelines has been shown to correlate with increased weight loss after surgery (Mitchell et al., 2016). Furthermore, in addition to following strict nutritional guidelines after bariatric surgery, the ASMBS (2022) posits that formal exercise and daily PA are equally important. Regular daily exercise post-bariatric surgery is encouraged and strongly recommended (Hood et al., 2018; Mechanick, 2016). ASMBS guidelines assert that post-surgical patients complete an average of 30 minutes of moderate exercise daily (ASMBS, 2022; Mechanick, 2016; Tabesh et al., 2019). Studies reveal that bariatric surgical patients can receive an array of benefits from a structured, individualized exercise program after surgery (Bellicha et al., 2018; Coen et al., 2014; Daniels et al., 2017; Gil et al., 2021; Ren et al., 2018). For example, Gil et al. (2021) conducted a randomized controlled study with 80 post-bariatric surgical women. They measured the effects of a 6-month, three times per week, aerobic and resistance training program and found that the exercise group had better performance with both the timed-up-and-go (p = .05) and timed-stand test (p < .01) compared to the non-exercise group. Furthermore, the exercise group had greater absolute (p < .01) and relative (p < .01) strength in comparison to the nonexercise group. Bellicha et al. (2018) performed a systematic review examining 15 studies. They found that a structured exercise program after bariatric surgery improved fitness and enhanced weight and fat loss. Even with the positive results of these studies, there is contradictory evidence showing that the current prescriptive exercise program after bariatric surgery indeed results in patient non-adherence (Hood et al., 2016; Welch et al., 2008). An exploration into general, unstructured PA may be warranted if a lack of adherence to a structured exercise program is evidenced. PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 15 Physical Activity Versus. Structured Exercise Exercise is conceptually different from PA (Caspersen et al., 1985; CDC, 2017; Dasso, 2018; Gummelt, 2015). According to Caspersen et al. (1985), although exercise and PA result in energy expenditure, their features differ. Physical activity, like doing housework, gardening, or walking the dog, is the broader, overarching concept encompassing general bodily movement (CDC, 2017; Dasso, (2018). In contrast, structured exercise, like lifting weights, running on a treadmill, or walking in a 5K race, is a planned, structured, repetitive, and purposive activity (CDC, 2017; Dasso, 2018). Until recently, these two terms have been used interchangeably despite their significant differences (Caspersen et al., 1985; CDC, 2017; Dasso, 2018; Gummelt, 2015). Traditionally, exercise research focuses on achieving fitness and body composition goals, like improving cardiovascular efficiency, increasing strength, and enhancing lean tissue. Indeed, research shows that structured exercise delivers substantial benefits (Astrand, 1988; Blair, 1992; Blair et al., 1989; Blair et al., 2004; Manini, 2015; Morris & Heady, 1953; Paffenbarger et al., 1986; Thompson et al., 2001). Typically, exercise is prescribed according to industry guidelines, which state that individuals aged 18-65 should engage in a minimum of 150 minutes per week of moderate aerobic exercise or a minimum of 60 minutes per week of vigorous activity (Ligouri & ACSM, 2022). These structured, prescriptive exercise plans improve fitness and body composition (Amaro-Gahete et al., 2019; Blair et al., 2004; Branch et al., 2000). However, recent attention has pivoted to the overall health and well-being benefits of unstructured PA (Dasso, 2018), which is the focus of this study. Engaging in daily movement as opposed to traditional exercise bouts is beneficial, especially for functional fitness training (Astrand, 1992), and should be considered for overall health improvements (Jakicic et al., 2019). Importantly, Jakicic et al. (2019) reviewed 29 cross-sectional studies investigating whether < 10 PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 16 minutes of PA bouts resulted in health benefits. They found that < 10-minute bouts of PA were associated with positive health outcomes (Jakicic et al., 2019). Research shows that the post-surgical bariatric population struggles with adherence to formal exercise (Hood et al., 2016; Welch et al., 2008), yet these patients continue to be prescribed structured exercise programs after bariatric surgery (ASMBS, 2022; Mechanick, 2016; Tabesh et al., 2019). Structured exercise program research touts the benefits of prescriptive exercise in the post-bariatric surgical population and purely focuses on physical parameters like weight loss and fat mass loss (Bellicha et al., 2018; Coen et al., 2014; Gil et al., 2021; Ren et al., 2018). However, since the evidence supports health improvements with less than the current industry exercise duration guideline (Jakicic et al., 2019), bariatric patients who struggle with adherence to formal exercise may do well if healthcare providers shifted the paradigm and promoted < 10-minute bouts of PA like playing with the dog, sweeping the floor, or walking a flight of stairs (Jakicic et al., 2019). Interestingly, many studies ignore unstructured PA as a part of everyday living, which is crucial and related to a concept called physical literacy (Whitehead, 2001; 2007; 2010; 2019). Physical Literacy Whitehead defines physical literacy as a multidimensional concept with holistic underpinnings defined as "the motivation, confidence, physical competence, knowledge and understanding to value and take responsibility for engaging in PA for life (2019, p. 8)". In addition, Cairney et al. (2019) argue that physical literacy offers a robust and rich lens to examine PA and its function in health promotion. However, most of the physical literacy research has targeted youth (Belanger et al., 2018; Jefferies et al., 2019), adolescents (Liu & Chen, 2020), and, most recently, older adults (Huang et al., 2020; Roetert & Ortega, 2019). PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 17 Sadly, the concept of physical literacy has yet to be studied in the adult (18-65 years of age) healthcare ecosystem with the post-surgical bariatric population. In 2020, Cornish et al. conducted a comprehensive literature review regarding physical literacy and identified 17 articles for inclusion. Although there was no perfect consensus on the definition of physical literacy, 94% of the articles identified by Cornish et al. (2020) used the physical literacy definition proposed by Whitehead (2001; 2007; 2010; 2019). In addition, Cornish et al. (2020) confirmed that much of the physical literacy research had been done in the youth and adolescent sector, focusing on the physical domain (Cairney et al., 2019). Furthermore, studies have yet to be conducted in the healthcare sector with adults despite evidence of physical literacy's connection to improved health (Cairney et al., 2019). Nonetheless, Holler et al. (2019) conducted a first-of-its-kind, non-randomized adult study with an intervention group of 30 physically inactive females and a matched control group of 30 physically inactive females. The intervention consisted of a once-weekly low-dose exercise session, for a total of 15 weeks, with the novel addition of a physical literacy element that proved to be promising (Holler et al., 2019). Holler et al. (2019) found that the intervention groups physical literacy score improvement was statistically significant (p < .001) with a large effect size (p2 = 0.21). Due to shortcomings with their physical literacy measurement instrument and the inability to focus on recruitment solely within the primary healthcare area, Holler et al. (2021) conducted a second, comparable non-randomized study. Similar to their first study, Holler et al. (2021) found statistically significant physical literacy improvements among physically inactive adults (p < .001, p2 = 0.29). However, this study identified a few limitations, including a convenience sample and a small sample size (Holler et al., 2021). PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 18 As evidenced by the literature, a gap exists in exploring the relationship between physical literacy and PA in the post-bariatric surgical adult (ages 18-65 years) population. Additionally, understanding if an individual's age is related to motivation and whether age and motivation are associated with engaging in PA would benefit bariatric healthcare providers. Lastly, this information would provide valuable insight into developing suitable approaches for working with the post-bariatric surgical population and their engagement in lifelong PA. Motivation and Engaging in PA Motivation is defined as the drive or desire to perform or participate in a particular behavior (Baumeister, 2016) and is a vital element that contributes to an individual's PA engagement (Schwarzer et al., 2011; Quested et al., 2021; Rhodes et al., 2017). In addition, studies have shown that motivation is likely to predict if individuals will participate in PA (Bond et al., 2014; Schwarzer et al., 2011). For example, the Bari-Active study (Bond et al., 2016) explored pre-bariatric surgery vs. post-bariatric surgery PA and identified that additional research is needed to pinpoint contributors, such as motivation, that may be related to participation in PA with bariatric surgical patients. Furthermore, Palmer et al. (2020) conducted a concept analysis to explore the relationship between motivation and PA by examining 68 fulltext articles in the adolescent sector. They found that autonomous motivation is essential in developing PA interventions and should be considered for further study. Motivation and Age Age and motivation have been found to be related (Nikitin et al., 2014; Steltenpohl et al., 2019; Stults-Kolehmainen et al., 2013). Nikitin et al. (2014) examined age and motivation and examined avoidance motivation and social situations with 55 male and female younger adults (M = 23.67 years) and 58 male and female older adults (M = 71.44). Using repeated-measures PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 19 analysis of variance (ANOVA), Nikitin et al. (2014) reported a statistically significant difference in avoidance motivation between younger and older adults, t(109) = -3.81, p < 001, d = .73, concluding that age is an essential variable in predicting motivation. In a qualitative study by Steltenpohl et al. (2019), the Socioemotional Selectivity Theory (Lockenhoff & Carstensen, 2004) framework was used to verify shifts in exercise motivation depending on age. Their focus group research examined age differences related to exercise motivation and found that age was related to motivation. Thus, they recommended that health professionals integrate age-specific messaging to enhance exercise at various stages of life. Additionally, in their study with highly active individuals, Stults-Kolehmainen et al. (2013) argued that many motives contribute to exercise engagement. Importantly, their research identified that an individual's motivational 'profile' differs depending on age. Stults-Kolehmainen et al. (2013) recommend that future studies investigate this concept within a theoretical framework like the Self-Determination Theory (SDT) developed by Deci & Ryan (1985). Self-Determination Theory While examining the relationship between physical literacy and PA in the post-bariatric surgical population, it is vital to understand an individuals underlying motivations and other determinants that contribute to adopting a physically active lifestyle after surgery. SDT is a human motivation theory proposing that human behavior is driven to meet the basic needs of competence, autonomy, and relatedness (Deci & Ryan, 2014; Ryan & Deci, 2000). The literature offers evidence to support the efficacy of interventions based on the SDT and PA in both the bariatric surgical and non-surgical populations (Edmunds et al., 2008; Teixeira et al., 2012; Wilson et al., 2006). PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 20 In the non-bariatric surgical sector, Coumans et al. (2022) conducted a cross-sectional study of 1,142 adults using two questionnaires, the Behavioural Regulation in Exercise Questionnaire (BREQ-2) and the Treatment Self-Regulation Questionnaire (TSRQ), to measure motivation for PA and diet based on SDT. They found that self-determined forms of motivation for lifestyle domain-specific activities are relevant for forecasting sub-behaviors (Coumans et al., 2022). Furthermore, Mancini (2008) reminds us that program approaches can significantly influence motivation in his work in the mental health realm with patient recovery. For example, programs that do not consider the patient's independent behaviors and interests but instead focus on a dictatorial or commanding approach can negatively affect motivation (Mancini, 2008). Additionally, Ostendorf et al. (2021) studied the relationship between motivational profiles of overweight or obese adults and changes in their PA during an 18-month behavioral weight loss program which included supervised exercise for six months followed by an unsupervised exercise program for six months (Ostendorf et al., 2021). Similarly, they found that intrinsically motivated adults appeared to sustain PA after removing the supervision, offering additional alignment with SDT (Ostendorf et al., 2021). In the bariatric surgical population, Jimenez-Loaisa et al. (2020) and Gonzalez-Cutre et al. (2018) conducted studies where exercise programs were built using SDT. As a result, Jimenez-Loaisa et al. (2020) identified that exercise intervention based on SDT improved bariatric patients' reported quality of life post-surgery. Furthermore, using a qualitative methodology, Gonzalez-Cutre et al. (2018) found positive themed outcomes in the bariatric surgical patient population participating in SDT-based exercise programs. Finally, Anderson & Chacko (2018) worked with post-bariatric surgical patients and implemented a holistic self- PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 21 management program based on SDT. This SDT-based intervention emboldened autonomy, consistent with intrinsic motivation (Hagger et al., 2014). While SDT literature is robust and offers insight into its contribution to PA, limited studies have focused on its relationship to physical literacy. A study with college students identified a reciprocal association between SDTs psychological needs satisfaction and physical literacy (Wang et al., 2020). McClelland (2013) studied children in 4th-6th grade and found a propensity towards engaging in PA shaped by needs satisfaction which is an element of SDT. Lastly, Chen (2015) described how a physically literate individual must have intrinsic motivation, stemming from SDT constructs (Ryan & Deci, 2000), to be physically active. As evidenced above, some peer-reviewed studies have used SDT to examine physical literacy and PA in youth, adolescent, and college populations. However, no studies have used an SDT lens with the post-surgical adult (18-65 years of age) bariatric population. Studying this population's relationship between perceived physical literacy, age, and motivation to engage in PA will contribute to the contemporary literature on the post-bariatric standard of care. Conclusion Although bariatric surgery offers metabolic and anatomical changes for substantial weight loss, it is not a panacea. It requires a consistent and sustained focus on healthy lifestyle choices, such as lifelong PA and incorporating movement into everyday living practices. In addition, the multidimensional concept of physical literacy is void from the bariatric surgical literature. Therefore, the opportunity exists to examine whether physical literacy is correlated with an individual's motivation, a construct of SDT, and whether age is associated with a postbariatric surgical patients motivation to participate in PA. Method PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 22 Study Type and Design This quantitative, non-experimental study used a cross-sectional design. This single-stage survey study also used a homogeneous, convenience, non-random sampling of post-bariatric surgical patients in Northwestern Indiana. The study did not involve direct patient contact, as it was designed as primarily an email survey using Qualtrics survey software, with some postal mailed surveys for patients who did not have an email address. The study ran from January 2023 to March 2023. The appropriate institutional review board approvals were secured before the study was released. Participants Post-surgical bariatric patient populations of two hospital-based clinics in Northwestern Indiana served as the population of interest for this study. To be included in this study, patients needed to be between 18 and 65 years old. In addition, they had a verified EPIC electronic medical record (EMR) identifying that either a Roux-en-Y Gastric Bypass or a Vertical Sleeve Gastrectomy surgery was completed at either St. Mary Medical Center in Hobart, Indiana, or Community Hospital in Munster, Indiana, since 2016. In addition, study participants needed an accurate email address or physical address extracted from the EPIC electronic medical record to deliver the study questionnaire. Male and female patients who had other bariatric surgeries, such as the lap band, were excluded from the study since the lap band does not permanently amend the anatomical structure of the gastrointestinal area, nor is categorized as a permanent metabolic surgical procedure. An initial query of the ICD-10 codes for Roux-en-Y Gastric Bypass and Vertical Sleeve Gastrectomy in the EMR at the two Northwestern Indiana hospitals estimated that approximately 1,050 patients had had these surgeries since 2016. An a priori sample size calculation using PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 23 G*Power, version 3.1 (Faul et al., 2009) was conducted based on using a bivariate correlation two-tailed test and the following parameters: alpha of .05, power of .80, and an effect size of .30. The calculation resulted in a minimum sample size of 84. Data Self-reported data included the following: Demographic Independent Variables Geographic region: whether the subject resided in Northwestern Indiana (Lake, Porter, Jasper, Newton, LaPorte counties): (a) Yes or (b) No Perceived level of safety within the residential community (i.e., how well the community was protected from dangerous situations): (a) Very safe or (b) Somewhat safe or (c) Somewhat unsafe or (d) Very unsafe Perceived access to recreational areas for physical activities like walking (i.e., trails, sidewalks, malls, parks, etc.), playing, hiking, swimming, biking, etc.: (a) Very good access (b) Good access (c) Somewhat good access (d) Somewhat poor access (e) Poor access (f) Very poor access Age in years Gender: (a) Female or (b) Male or (c) Other Race: (a) Asian or (b) African American/Black or (c) Caucasian/White or (d) Latino/Hispanic or (e) Pacific Islander/Native Hawaiian or (f) Native American or (g) Other Type of bariatric surgery: (a) Gastric (Roux-en-Y) Bypass or (b) Vertical Sleeve Gastrectomy Years since bariatric surgery PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 24 Level of education: (a) Eighth grade or less (b) Some high school (c) High school graduate or GED (d) Some college (e) College graduate or (f) Graduate/Professional degree Marital status: (a) Married or (b) Divorced or (d) Widowed or (e) Single, never married Additional Independent Variable Perceived physical literacy Outcome/Dependent Variable Motivation to engage in PA Operationalized Variables According to the International Physical Literacy Association (n.d.), physical literacy is "the motivation, confidence, physical competence, knowledge, and understanding to value and take responsibility for engagement in physical activities for life" (n.d.). Physical literacy was operationalized by summing the total and related sub-scale scores from the Perceived Physical Literacy Instrument (PPLI). Deci and Ryan (1985) define motivation as fundamental to their SDT. They state that autonomy, competence, and relatedness are foundational to understanding one's self-determined motivation, which is categorized into intrinsic (coming from within), extrinsic (external regulation), defined as coming from outside or identified regulation defined as "the most autonomous form of extrinsic motivation" (Ryan & Deci, 2000, pp. 7273) or amotivation (absence of motivation). Situational motivation is the motivation an individual experiences in the here and now (Vallerand, 1997; Vallerand & Ratelle, 2002). Intrinsic and extrinsic motivation PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 25 were operationalized as the sub-scale scores derived from the Autonomous Motivation Index and Controlled Motivation Index obtained from the SIMS. Instruments Perceived Physical Literacy Instrument Approval was obtained for the PPLI (Appendix A). The PPLI measured perceived physical literacy (Sum et al., 2016). The PPLI originally contained 18 items; however, after both exploratory and confirmatory factor analyses were conducted, the instrument was modified to contain a 9-item, 3-factor sub-scale (Sum et al., 2016). Therefore, the PPLI used for this study was the 9-item, three-factor assessment tool with three items per subscale factor (Appendix B). The three identified subscale factors are knowledge and understanding, self-expression and communication with others, and a sense of self and self-confidence. The instrument used a 5point Likert scale (1 = strongly disagree to 5 = strongly agree). Values from all nine items were totaled, with the overall score ranging from 9 to 45. In addition, scores for each of the three subscales were also totaled, with scores ranging from 3 to 15. For the overall and subscale scores, higher scores indicated greater overall perceived physical literacy. Researchers developed this instrument, administered it to 336 physical education professionals in Hong Kong, and proved that it has construct validity with good validity and reliability. Analyses showed internal consistency reliability, with a Cronbach's alpha from .73 to .76 and exploratory factor analysis from .69 to .87, demonstrating construct validity (Sum et al., 2016). A good fit for the model was supported by confirmatory factor analysis (Mohamad et al., 2020). Although no information was provided regarding test-retest reliability, convergent validity, or discriminant validity, Mohamad et al. (2020) found the PPLI reliable and valid for measuring perceived physical literacy. Furthermore, the PPLI was initially used with physical PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 26 education professionals, yet Mohamad et al. (2020) argued that it could also be used in medical and health settings. Confirmatory factor analysis was used to determine subscale validity. To determine the goodness of fit for all the subscale models, Sum et al. (2016) found that 33% of the residuals were greater than .05, and all subscales had a Cronbachs alpha > .70, indicating internal consistency. Situational Motivation Scale The SIMS was also approved for use (Appendix A). It is a multidimensional instrument (Appendix C) used to assess intrinsic motivation, identified regulation, external regulation, and amotivation at the situational level (Guay et al., 2000). The SIMS is a 16-item instrument (Guay et al., 2000) used to measure situational motivation in numerous studies within various PA situations (Kowal & Fortier, 2000; Standage et al., 1999; Standage & Treasure, 2002). The SIMS questionnaire offered a 7-point Likert scale for participant responses, including 1-corresponds, not at all; 2-corresponds a very little; 3-corresponds a little; 4corresponds moderately; 5corresponds enough, 6-corresponds a lot; and 7-corresponds exactly. The SIMS identified four subscales: intrinsic motivation, identified regulation, external regulation, and amotivation. The scores from the four subscales were totaled and then divided by the number of questions (Guay et al., 2000). The higher the score, the greater the motivation (Guay et al., 2000). The SIMS identified an Autonomous Motivation Index, calculated by adding and averaging the intrinsic motivation and identified regulation scores. A Controlled Motivation Index was calculated by adding and averaging the external regulation and amotivation scores. Five studies, with collectively over 1000 French Canadian college students, were conducted in the original research (Guay et al., 2000). Although the original research used college students, Clancy et al. (2017) found that the SIMS instrument could be used in most PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 27 settings. Exploratory factor analysis (EFA) was done to determine internal reliability. EFA identified the four subscales and verified that intrinsic motivation, identified regulation, external regulation, and amotivation could be assessed with this instrument. (Guay et al., 2000) Cronbach's alpha values for the four subscales were as follows: intrinsic motivation = .95; identified regulation = .85; external regulation = .62; and amotivation = .83). Clancy et al. (2017) found the SIMS to have adequate test-retest reliability. Several studies identified that the content, factorial, predictive validity, and reliability of the SIMS scores exist and have a good model fit (Blanchard et al., 2007; Clancy et al., 2017; Gillet et al., 2012; Guay et al., 2000; Standage et al., 2003). Procedures Initially, all bariatric surgical patient lists at the two Northwestern Indiana hospitals were cross-checked by the bariatric clinic manager to verify ICD-10 surgical codes for Roux-en-Y Gastric Bypass or Vertical Sleeve Gastrectomy and patients ages 18-65 were identified as qualified study participants. After identifying the qualified study participants, the primary researcher manually reviewed all the patients' EMRs to confirm they met the age, type of bariatric surgery, and time since bariatric surgery criteria. Excluded patient information, including the reason for exclusion, was logged and totaled by the researcher. Additionally, the researcher extracted emails from the EMR and cross-referenced them with the Marketing department's bariatric patient database. Patient information was permanently deleted from all electronic files if they did not meet the inclusion criteria. Patient information was de-identified and kept in password-protected files housed in Community Healthcare System computers, protected by extensive firewalls and multiple servers. In addition, the Corporate Compliance Officer of the Community Healthcare System, where the patient data was stored, served as the PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 28 expert in overseeing risks of patient identification with the set of health information data collected in this study. Recruitment This study used the following strategies, suggested by Pit et al. (2014) for successful recruitment: 1. Support of the two hospitals within the healthcare system from the President/CEO, Medical Director of the Department of Bariatrics, and Bariatric Surgeons of the Department of Bariatrics was secured (Appendix D). 2. Postcard, email, newsletter, and office signage was used to pre-notify bariatric surgical patients about the study. 3. Bariatric surgical patient emails and physical addresses were verified as current and up to date by cross-referencing the EMR with the marketing department's CRM database. 4. The Medical Director emailed and postal mailed a letter of invitation to participate in the study. Subsequently, actual invitations to participate were emailed and postal mailed during the data collection phase of the study. Informed Consent According to the Revised Common Rule (2017), an institutional review board needed to confirm the need for informed consent since this study involved human subjects and the extraction of personal health information occurred from an EMR (Manti & Licari, 2018). Therefore, the participant's informed consent was collected electronically for the survey. On the first page of the survey, participants agreed to participate in the study by clicking the agreement PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 29 button. Individuals who did not agree to participate in the study were taken to the end of the survey. For the postal mailed surveys, the face page of the survey contained the consent information and a statement indicating that by answering and returning the survey, the participant was providing their consent. If they desired to be included in the incentive gift card drawing, a gift card drawing ticket needed to be completed and returned with their survey in a pre-printed, pre-paid envelope with no return address requested (Appendix E). Pre-data collection The Hospitals EMR (EPIC) was queried to identify all bariatric surgical patients. Participant name, email address, and mailing address were extracted and provided to the primary researcher in a password-protected Excel file in the healthcare system's secured server. The primary researcher manually screened the Excel patient data file to identify those who met the inclusion criteria. Patients excluded from the study were deleted from the eligible list, and their emails were placed into a study exclusion file for future reference. Once potential participants were identified and determined to be eligible for the study, a pre-survey letter of support and invitation to participate from the Medical Director of Bariatric Services was sent approximately two to three weeks before releasing the survey. This invitation included information regarding an optional incentive gift card drawing for patients who completed the survey. Data Collection Data collection was done at the Community Healthcare System in a closed office to protect the privacy and confidentiality of the respondents. A Community Healthcare System registration representative within the Department of Bariatric Services sent all invitation emails PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 30 and postal mail to the approximately 1,050 post-bariatric surgical patients. For the email surveys, a link and QR code to a Qualtrics survey (Appendix E) was embedded in a HIPAA-compliant Constant Contact message and emailed from a unique healthcare system email address that had end-to-end encryption and was reserved for this study. In addition, the Constant Contact account was set up to release up to three subsequent email reminders for individuals who still needed to open their initial emails. The header in the follow-up emails reiterated the gift card drawing prize incentive and presented the immediacy for a call to action. The registration representative tracked the response rate in a password-protected Community Healthcare System Sharepoint document for the researcher to review daily. After three days of unopened initial email identification, a second reminder email was released. A third reminder email was sent after seven days of unopened initial email identification. Two weeks after the survey was emailed, an unopened email list and any emails returned undeliverable were generated. Postal mailing addresses were extracted from EPIC, and surveys were postal mailed to patients who still needed to open their emails or did not have an email in the EMR. The postal mail survey was sent via the United States Postal Service. The mailed envelope contained the letter of invitation, statement of informed consent, printed survey, gift card drawing ticket, and postage-paid return envelope with the Department of Bariatrics address as the return address. A final email was sent approximately three weeks after the initial email. It included a thank you to those who completed the survey, a reminder about the incentive gift card drawing, and a reiteration of the survey closing date. The following strategies were implemented to ensure survey respondents did not take the survey multiple times or share the survey with others, as well as mitigated the risk of bot responses (Nesterak, 2019). First, the online Qualtrics survey was designed to set a cookie on the PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 31 respondent's browser when they submitted their response. If the respondent attempted to click on the survey more than once, Qualtrics identified the cookie and prohibited additional survey submissions. In addition, since the survey was sent from a unique email within the healthcare system, a one-time-use link was generated by Qualtrics for each participant, further reducing multiple submissions by the same respondent. Next, the mailed survey had a survey identifier located in a section entitled 'office use only,' preventing duplication and distribution of the survey to others than to whom the survey was intended. Finally, the mailed drawing ticket contained a proprietary logo watermark to reduce the risk of fraudulent duplication or distribution. Since the study response rate superseded the minimum sample size of 84, the researcher did not seek additional post-bariatric surgical patients via online sites like Reddit. Data Management Once the study closed, the primary researcher downloaded the data from Qualtrics into an Excel file. Data were cleaned, and instrument scores were calculated and analyzed using the raw data. Participant data was protected and conformed to all privacy and confidentiality regulations and laws (i.e., HIPAA). All participant emails were stored in a password-protected electronic Excel file and a password-protected Constant Contact healthcare system account. All participant response data downloaded from Qualtrics was de-identified and stored in a password-protected Excel file. The computers used for this study were password protected with a dual-authentication system (i.e., Imprivata). All returned surveys mailed via the United States Postal Service were received by the registration representative at the Department of Bariatrics, who handled all incoming department mail. The registration representative had access to a Sharepoint Excel file and was responsible PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 32 for uploading all returned survey response data into the file. The office lead oversaw the uploading of survey responses to ensure all data was entered correctly. All paper surveys were placed in a sealed envelope and were retained in the departments locked data collection drawer. Paper surveys were shredded at the end of this study. Only the office lead and hospital security had the master key for the locked data drawers. Incentive Gift Card Drawing An incentive gift card drawing was built into Qualtrics to increase survey participation. At the end of the online survey, a question asked the participants if they would like to enter the drawing to win a $10 Amazon e-gift card. If the respondent answered "no," they were thanked for participating, and the survey was terminated. If the respondent answered "yes," they were directed to the drawing page. Participants' names and contact information were collected on the gift card drawing page. Once the survey closed, the data from the drawing page was downloaded and exported into a second Excel file by the Department of Bariatrics registration representative and double-checked by the office lead. Participants line location in Excel served as their numerical drawing number. Twenty winning numbers were randomly selected using the www.random.org random number generator website. The drawing winners were notified via email, and a $10 digital Amazon e-gift card was attached to notify them of their winning. The primary researcher sent the winning participants the digital Amazon e-gift cards via the healthcare system's unique email address developed for this study. In addition, the email was set so the researcher received a read receipt. A master list of all gift card drawing winners, date of email notification, return read receipts of emails, and prize amounts were contained in an Excel file entitled "Online gift card drawing winners," PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 33 located on the Sharepoint drive, managed by the Department of Bariatrics registration representative, and overseen by the office lead. Since only one gift card drawing ticket (Appendix F) was returned in the pre-paid survey return envelope, the primary researcher contacted the winner via their contact information and mailed their $10 Amazon gift card via United States Postal Service certified mail, requesting a return receipt. Statistical Analysis Descriptive Statistics Descriptive statistics were used to describe the sample and report survey responses. Frequencies and percentages were reported for nominal data, and median and 25th and 75th percentiles were reported for ordinal and non-normally distributed interval and ratio data. In contrast, means and standard deviations were reported for normally distributed interval and ratio data. The normality of data was determined using the Shapiro-Wilk test and visualization of Q-Q plots and histograms. Data were analyzed using IBM SPSS Statistics for Windows, Version 28.0 (IBM Corp., Armonk, NY). All comparisons were two-tailed, and an alpha level less than .05 was considered statistically significant. Inferential Statistical Tests Bivariate correlations were conducted to determine if there was an association between motivation to engage in PA and perceived physical literacy and motivation to engage in PA and age. A scatter plot was used to determine whether a linear relationship existed, and a line of best fit was used to identify the strength of that relationship. Depending on the normality of the distribution, either the Pearson correlation or Spearman rho correlation was conducted. Based on the recommendations of Kraemer et al. (2003) and Kellar and Kelvan (2013), the Pearson PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 34 correlation and Spearman rho correlation coefficients were interpreted using the following scale: .1-.29 = small association; .30-.49 = medium association and .50 - .99 = large association. A linear regression analysis was completed to determine if perceived physical literacy and age, controlling for potential confounders, predict motivation to engage in PA. For regression results to be valid, several assumptions had to be met, including linearity, homoscedasticity of residuals, independence of observations, no multicollinearity, no significant outliers, and normally distributed residuals (Field, 2017). The assumptions were tested and interpreted based on the recommendations of Field (2017). Partial regression plots and a plot of studentized residuals against the unstandardized predicted values assessed linearity. Homoscedasticity was determined by visually examining a plot of studentized residuals against the unstandardized predicted values. A Durbin-Watson statistic assessed the independence of observations. If the value was between 0.80 and 3.20, then the assumption of independence of observations was met. No multicollinearity was determined using tolerance values and correlation coefficients between the independent variables. Tolerance values greater than 0.10 indicated no multicollinearity, as did correlation coefficients less than .85. No significant outliers were indicated if the standardized residuals value were with + 3 standard deviations. Normally distributed residuals were assessed through visual inspection of the histogram of standardized residuals and the probability plot (P-P plot). Results PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 35 A total of 147 individuals responded to the survey, with 146 completing the Qualtrics survey online via email and one respondent submitting a mail-in survey, which was manually added to the raw data. However, 19 responses were excluded from the study due to non-consent (n = 2) or survey incompletion (n = 17). Therefore, the final survey sample size included in the study was 128 respondents. Descriptive Statistics The sample consisted of 128 respondents, with a slight majority falling in the 45-49 age group (n = 29, 22.7%). The majority of participants were female (n = 115, 89.8%) and identified as Caucasian/White (n = 86, 67.2%), which aligns with previous bariatric surgical studies demographics (Chang et al., 2019; Courcoulas et al., 2018; DeMaria et al., 2010; Voorwinde et al., 2022). This indicates that the sample in this study is representative of the gender and ethnicity distribution within the post-bariatric surgical population. Most participants were married (n = 75, 58.6%) and resided in Northwestern Indiana (n = 111, 86.7%). Nearly all respondents had education beyond high school (n = 118, 92.2%). The time since surgery varied from less than one year to 6 years, with a relatively even distribution across the years. Finally, similar to bariatric surgery industry trends (English et al., 2020), the most common bariatric surgery procedure was Sleeve Gastrectomy (n = 86, 67.2%). Complete descriptive statistics are presented in Table 1. Table 2 shows the descriptive statistics for the PPLI and Motivation Index scores. Research Question 1 Is there an association between perceived physical literacy and motivation to engage in PA among post-bariatric surgical adult patients aged 18-65 who had surgery at one of two Northwestern Indiana hospitals within the last six years? PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 36 Bivariate Correlations As shown in Table 3, absolute correlation coefficients ranged from .13 to .57. There were statistically significant correlations for the PPLI Summary score (r = .44, p < .001), Knowledge and Understanding sub-score (r = 57, p < .001), and Sense of Self sub-score (r = 35, p < .001) with the Autonomous Motivation Index. Therefore, these three variables were identified as potential predictors of the Autonomous Motivation Index since they met the pre-established inclusion criterion of the correlation coefficient being > .30. However, due to the strong correlation between the PPLI Summary score and the Knowledge and Understanding sub-score (r = .78) and the PPLI Summary score and Sense of Self sub-score (r = .86), there was a possibility of multicollinearity. Therefore, the PPLI Summary score was not entered into the model, and only Knowledge and Understanding, and Sense of Self sub-scores were used in the regression analysis. For the Control Motivation Index, correlations with the PPLI Summary score, Knowledge and Understanding sub-score, Self-Expression sub-score, and Sense of Self subscore did not reach the threshold for being included in the regression model. See Table 4. Therefore, linear regression analysis was not warranted. Linear Regression Linear regression was conducted with the dependent variable Autonomous Motivation Index and the independent variables Knowledge and Understanding and Sense of Self. All the assumptions of independent observations, normal distribution, linearity, and homoscedasticity were met. The model was statistically significant and predicted Autonomous Motivation Index, F(2, 125) = 23.54, p < .001, adjusted R2 = .31.Only Knowledge and Understanding added statistically significantly to the model (p < .001). As Knowledge and Understanding scores PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 37 increased, the Autonomous Motivation Index score increased by 1.37. Further information is presented in Table 5. Research Question 2 Is there an association between age and motivation to engage in PA among post-bariatric surgical adult patients aged 18-65 who had surgery at one of two Northwestern Indiana hospitals within the last six years? Bivariate Correlations As shown in Table 6, absolute correlation coefficients between age and the Autonomous Motivation Index and between age and Control Motivation Index ranged from .01 to .13; neither was statistically significant (p = .887 and p = .141, respectively). Therefore, regression analysis was not justified because neither of the correlation coefficients was greater than .30. Research Question 3 Is there an association between age and perceived physical literacy among post-bariatric surgical adult patients aged 18-65 who had surgery at one of two Northwestern Indiana hospitals within the last six years? Bivariate Correlations Table 7 shows absolute correlation coefficients ranging from .03 to .12 when examining Age against PPLI Summary scores, Knowledge and Understanding, Self-Expression, and Sense of Self sub-scores. In addition, none of the correlations were statistically significant (p = .312, p = .173, p = .720, p = .502, respectively). Therefore, regression analysis was not warranted since all the correlation coefficients were less than .30. Discussion PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 38 This study explored the association between perceived physical literacy and motivation to engage in PA among adult post-bariatric surgical patients (18-65 years) in Northwestern Indiana. Additionally, the study examined the relationship between age and motivation to participate in PA among these patients. The findings of this study have implications for healthcare practitioners and patients, offering valuable insights to improve healthcare strategies and program outcomes for bariatric patients. The study employed the Self-Determination Theory (SDT) as a theoretical framework developed by Deci and Ryan (1985), distinguishing between two primary motivation types: intrinsic and extrinsic. The researcher utilized the Autonomous Motivation Index of the SIMS survey instrument (Guay et al., 2000) to represent intrinsic motivation and the Control Motivation Index of the same instrument to represent extrinsic motivation. Although this study found no relationship between control motivation (extrinsic motivation), and any of the physical literacy subscales, the physical literacy sub-scale of Knowledge and Understanding did demonstrate a positive association of .31 with the Autonomous Motivation Index (intrinsic motivation). This finding suggests that individuals with a higher level of knowledge and understanding regarding general PA may exhibit an increased internal motivation to engage in PA. Furthermore, knowledge and understanding of physical literacy may equip individuals with information about the positive impact of PA on improved health and overall quality of life. When individuals are aware of these benefits, it is plausible that they are more inclined to be internally motivated to participate in PA to attain these favorable outcomes. The study's findings reveal a positive relationship between the physical literacy subscale of Knowledge and Understanding and the Autonomous Motivation Index. Specifically, as individuals' scores on the Knowledge and Understanding subscale increased, the Autonomous PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 39 Motivation Index score increased by 1.37. This suggests that individuals with a higher level of knowledge and understanding about PA may exhibit a greater intrinsic motivation to participate in physical activities. This result implies that having a more profound comprehension of physical literacy may contribute to a more substantial internal drive and motivation to engage in PA. It highlights the importance of providing individuals with comprehensive information and education regarding physical literacy, as it can positively influence their intrinsic motivation and, subsequently, their overall engagement in PA after bariatric surgery. These study findings support Cairney et al.'s (2019) assertion that physical literacy is valuable when exploring PAs role in promoting health and well-being. While previous research has suggested the benefits of physical literacy initiatives as being viable, they targeted demographics such as youth (Belanger et al., 2018; Jefferies et al., 2019), adolescents (Liu & Chen, 2020), and older adults (Huang et al., 2020; Roetert & Ortega, 2019). This study's results suggest that physical literacy could be vital to the adult bariatric surgical patient program. Although research indicates age and motivation are correlated (Nikitin et al., 2014; Steltenpohl et al.; Stults-Kolehmainen et al., 2013), this studys outcomes found no significant associations between age and motivation or age and physical literacy in the adult post-bariatric surgical population. It is worth noting that Stults-Kolehmainen et al. (2013) conducted a study involving more than 2,000 individuals aged 18 to 64 who were not post-bariatric surgical patients with obesity and argued that different age-related motivational profiles contribute to exercise engagement. While Stults-Kolehmainen et al.'s (2013) findings shed light on various age-related motivational profiles that contribute to engaging in formal exercise, it remains to be seen how these age-related profiles relate to the population in this study. PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 40 In contrast to the Stults-Kolehmainen et al. (2013) research, others support the finding of this study, stating that age is not a significant predictor of PA (Bergh et al., 2017) after bariatric surgery. In the Bergh et al. (2017) study, 112 participants wore an ActiGraph accelerometer for seven consecutive days, 18-24 months after bariatric surgery. In addition, they answered a questionnaire for the researchers to gather information regarding self-regulatory predictors of PA after bariatric surgery, which found that age was not a significant predictor of PA. Subsequently, when exploring age and physical literacy, this study found no statistically significant correlation in the post-bariatric surgical population in Northwestern Indiana. This studys results contradict others that found physical literacy levels may decline with age (e.g., Huang et al., 2020; Roetert & Ortega, 2019). Some possible reasons why this study did not find a statistically significant correlation are as follows. First, the patients in this study may have had similar physical literacy levels across different age groups, resulting in a lack of significant variation to detect a correlation. Next, there might have been other factors influencing physical literacy in this particular demographic that overshadowed the potential impact of age. For example, the participants' previous experiences, motivations, or access to resources and support for PA could have substantially influenced their physical literacy levels more than their age alone. Finally, there could have been differences in this study's methodologies or assessment instrument selection to assess physical literacy compared to other studies. Further research with more diverse samples may better understand the relationship between age and physical literacy in post-bariatric surgical populations. This study highlights the need for bariatric department healthcare providers to prioritize physical literacy as a fundamental and integral component of the bariatric surgical patient's journey. The results underscore the importance of physical literacy initiatives in a comprehensive PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 41 care approach for these patients. In addition, the results of this study suggest that healthcare providers consider taking steps to equip bariatric surgical patients with the knowledge, skills, and sense of self required to maintain a healthy and active lifestyle following bariatric surgery. While a formal, prescriptive, and structured exercise program is effective and has its place in the post-bariatric surgery sector (Bellicha et al., 2018; Coen et al., 2014; Daniels et al., 2017; Gil et al., 2021; Ren et al., 2018), it is crucial to shift the focus towards ensuring that this population understands the significance of their activities outside of formal exercise. Specifically, paying attention to daily PA and movement and decreasing the time spent sitting or being inactive represents the missing link that needs attention (Dempsey et al., 2020; Dunstan et al., 2021; Hwang et al., 2022; Tremblay et al., 2007). Ultimately, incorporating a physical literacy program into the bariatric surgical patient's care plan may fill a gap, leading to improved participation in PA throughout the lifespan. Limitations The main limitation of this study was the lack of a control group population, which could have significantly compromised the research design (Campbell & Stanley, 1963; Polit & Beck, 2020). The lack of a control group hindered the ability to establish a basis for comparison or a reference point to assess the impact of the variables investigated. Consequently, this study could not establish causal relationships and was limited to reporting correlations. In addition, the absence of a control group compromised the study's internal validity and the findings' generalizability (Campbell & Stanley, 1963; Polit & Beck, 2020), which could have significantly compromised the research design (Campbell & Stanley, 1963; Polit & Beck, 2020). Therefore, the study's conclusions are likely weakened by the absence of a control group, limiting the robustness of the insights derived from this research. PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 42 Additionally, four other limitations were noted. First, this study may have had a bias, as it used a non-randomized control design, which could have affected the validity of the results (Creswell, 2014; Polit & Beck, 2020). In addition, non-response bias was another limitation of this study, as eighty-six percent of the invited patients did not participate in this survey. Second, this study relied on self-reported data, which may have contributed to response and social desirability biases (Gaskin & Happell, 2014). As a result, instead of offering accurate, honest responses, participants may have selected responses they felt were expected or socially acceptable. Additionally, participants may have felt pressured to represent themselves in a positive light to conform to department or industry post-surgical expectations. Third, this studys low email response rate was concerning. Previous studies have found that a 20-30% response rate is acceptable for email surveys (Kaplowitz et al., 2004; Kongsved et al., 2007; Shih et al., 2013). However, in this study, the response rate was only 14%. Lastly, the study investigated various confounding variables yet found no statistically significant relationships among the variables examined. However, it is essential to consider the potential presence of additional confounding variables that were not explored, which could have introduced bias into the study (VanderWeele & Shipitser, 2013). Furthermore, exploring additional confounders such as socioeconomic status, comorbidities, employment status, body mass index, PA level before bariatric surgery, and depression may be worth considering. Future Opportunities The findings of this study offer an exciting glimpse into future research opportunities that can help us better understand and improve the lives of bariatric patients. For example, a qualitative study could provide a deeper understanding of the complex personal, psychological, and social factors (Creswell, 2014; Patton, 2014) that affect these patients' motivation to engage PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 43 in PA. In addition, the power of qualitative research, especially when combined with this quantitative data, would offer a unique, unattainable insight through quantitative studies alone. Furthermore, a randomized controlled study could test different interventions, such as education, health coaching, social support, and technology, to determine which might be most effective in improving motivation to engage in PA post-bariatric surgery. Such research could be revolutionary in the future of bariatric healthcare and help promote healthy lifestyles among patients. Finally, exploring the 24-hour movement cycle with bariatric patients presents a new avenue for future opportunities. A growing body of research (Carson et al., 2020; Kuzik et al., 2020; Stamatakis et al., 2019; Tremblay et al., 2017) has supported this contemporary framework, which considers the interrelated movement behaviors of sleep, sedentary time, and physical activity over a 24-hour period. For example, the studies conducted by Carson et al. (2020) and Kuzik et al. (2020) provide evidence for the benefits of adhering to a 24-hour movement behavior guideline with adults. Carson et al.'s (2020) findings revealed improvements in cardiorespiratory fitness, adiposity levels, mental health, and reduced risk of chronic conditions. Similarly, Kuzik et al. (2020) found positive cardiometabolic outcomes associated with adherence to this guideline. These findings underscore the significance of integrating physical activity, sedentary behavior, and sleep as part of a comprehensive approach to enhance health and well-being in adults. Furthermore, the absence of published research on this topic within the bariatric surgical patient population amplifies the potential for exploration. In conclusion, this area of study holds promise in uncovering novel insights and potential interventions that might significantly contribute to the health and recovery of bariatric surgical patients. PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 44 Conclusions The findings of this study reinforce the conclusions of previous research, albeit conducted on different populations. Belanger et al. (2018) explored the relationship between motivation and PA in youth, demonstrating a positive association between intrinsic motivation and higher PA levels. Their study also highlighted the significance of intrinsic motivation in promoting sustained engagement in PA over time. Similarly, Jefferies et al. (2019) focused on motivation and PA among adolescents, revealing a positive correlation between intrinsic motivation and their participation in PA. Consistent with Belanger et al.'s (2018) findings, adolescents with higher levels of intrinsic motivation displayed greater adherence to regular PA. Additionally, studies by Huang et al. (2020) and Roetert and Ortega (2019) examined the relationship between motivation and PA in older adults. These studies further support the positive association between intrinsic motivation and higher PA levels among older adults. Collectively, these studies affirm the importance of intrinsic motivation in driving engagement in PA. The findings of this research underscore the significance of cultivating intrinsic motivation, like promoting lifelong enjoyment and personal satisfaction in PA engagement, within the post-bariatric surgical population. Moreover, integrating physical literacy education into the bariatric healthcare sector may be warranted, as the strong correlation between physical literacy, particularly the Knowledge and Understanding and Sense of Self sub-scales, and intrinsic motivation have been identified as significant predictors of motivation for PA in this population. In light of these findings, it may be imperative to address the need for incorporating physical literacy education as an integral part of the bariatric surgical patient's journey. The emphasis should shift from solely prescribing formal exercise programs to equipping patients PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 45 with physical literacy knowledge, skills, and a strong sense of self to engage in PA beyond traditional, prescriptive exercise guidelines. As the renowned philosopher Lao Tzu (n.d) once said, "The journey of a thousand miles begins with a single step." In the context of PA, we must remember that all movement counts and holds value. Let us embrace the power of every step, every dance, and every moment of physical expression as we strive for holistic well-being in the bariatric surgical population. PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 46 References American Society for Metabolic and Bariatric Surgery. (2019, June 20). More evidence that metabolic surgery is superior to drug treatment in patients with obesity. https://asmbs.org/articles/more-evidence-metabolic-surgery-superior-to-drug-treatmentin-patients-with-obesity American Society for Metabolic and Bariatric Surgery. (2022, June). Life after bariatric surgery. Retrieved June 19, 2022, from https://asmbs.org/patients/life-after-bariatric-surgery Amaro-Gahete, F. J., De-la-O, A., Jurado-Fasoli, L., Dote-Montero, M., Gutirrez, ., Ruiz, J. R., & Castillo, M. J. (2019). Changes in physical fitness after 12 weeks of structured concurrent exercise training, high-intensity whole-body electromyostimulation training in sedentary middle-aged adults: A randomized controlled trial. Frontiers in Physiology, 10. https://doi.org/10.3389/fphys.2019.00451 Aminian, A., Brethauer, S. A., Kirwan, J. P., Kashyap, S. R., Burguera, B., & Schauer, P. R. (2014). How safe is metabolic/diabetes surgery? Diabetes, Obesity and Metabolism, 17(2), 198201. https://doi.org/10.1111/dom.12405 Anderson, L. M., & Chacko, T. P. (2018). Bariatric Outcomes: Self-Management for Sustained Surgical Success: A Multicomponent Treatment for Dysregulated Overeating in Bariatric Surgery Patients. Journal of addictions nursing, 29(1), 3242. https://doi.org/10.1097/JAN.0000000000000210 Angrisani, L., Santonicola, A., Iovino, P., Formisano, G., Buchwald, H., & Scopinaro, N. (2015). Bariatric surgery worldwide 2013. Obesity Surgery, 25(10), 18221832. https://doi.org/10.1007/s11695-015-1657-z PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 47 Arterburn, D. E., Telem, D. A., Kushner, R. F., & Courcoulas, A. P. (2020). Benefits and risks of bariatric surgery in adults. JAMA, 324(9), 879-887. https://doi.org/10.1001/jama.2020.12567 Astrand P. O. (1988). From exercise physiology to preventive medicine. Annals of clinical research, 20(1-2), 1017. Astrand P.O., (1992). Why exercise? Medicine & science in sports and exercise, 24(2) 153-62. Baumeister, R.F. (2016). Toward a general theory of motivation: Problems, challenges, opportunities, and the big picture. Motivation and Emotion, 40(1), 1-10.Belanger, K., Barnes, J. D., Longmuir, P. E., Anderson K. D., Bruner, B., Copeland, J. L., Gregg, M. L., Hall, N. Kolen A. M., Lane, K. N., Law, B., MacDonald, D. J., Martin, L. J., Saunders, T. J., Sheehan, D., Stone, M., Woodruff, S. J., & Tremblay, M. A. (2018). The relationship between physical literacy scores and adherence to Canadian physical activity and sedentary behaviour guidelines. BMC Public Health 18(Suppl 2), Article 1042. https://doi.org/10.1186/s12889-018-5897-4 Belanger, K., Barnes, J. D., Longmuir, P. E., Anderson K. D., Bruner, B., Copeland, J. L., Gregg, M. L., Hall, N. Kolen A. M., Lane, K. N., Law, B., MacDonald, D. J., Martin, L. J., Saunders, T. J., Sheehan, D., Stone, M., Woodruff, S. J., Tremblay, M. A. (2018). The relationship between physical literacy scores and adherence to Canadian physical activity and sedentary behaviour guidelines. BMC Public Health 18 (Suppl 2), Article 1042. https://doi.org/10.1186/s12889-018-5897-4 Bellicha, A., Ciangura, C., Poitou, C., Portero, P., & Oppert, J.-M. (2018). Effectiveness of exercise training after bariatric surgery - A systematic literature review and metaanalysis. Obesity Reviews, 19(11), 15441556. https://doi.org/10.1111/obr.12740 PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 48 Bergh, I., Kvalem, I. L., Mala, T., Hansen, B. H., & Sniehotta, F. F. (2017). Predictors of physical activity after gastric bypass--a prospective study. Obesity Surgery, 27(8), 20502057. https://doi.org/10.1007/s11695-017-2593-x Blair, S. N. (2009). Physical inactivity: The biggest public health problem of the 21st century. Br J Sports Med, 43(1), 12. Blair. S,.N., Kohl, H.W. III, Paffenbarger, R.S. Jr., Clark, D.G., Cooper, K.H., Gibbons, L.W. (1989). Physical fitness and all-cause mortality: a prospective study of healthy men and women. JAMA, 262(1), 2395-2401. Blair, S. N., LaMonte, M. J., & Nichaman, M. Z. (2004). The evolution of physical activity recommendations: how much is enough? The American journal of clinical nutrition, 79(5), 913S920S. https://doi.org/10.1093/ajcn/79.5.913S Blanchard, C., Mask, L., Vallerand, R., de la Sablonnire, R., & Provencher, P. (2007). Reciprocal relationships between contextual and situational motivation in a sport setting. Psychology of Sport and Exercise. 8(1). 854-873. https://doi.org/10.1016/j.psychsport.2007.03.004 Bckelman, C., Hahl, T., & Victorzon, M. (2017). Mortality following bariatric surgery compared to other common operations in Finland during a 5-year period (20092013). A nationwide registry study. Obesity Surgery, 27(9), 24442451. https://doi.org/10.1007/s11695-017-2664-z Bond, D. S., Graham Thomas, J., Vithiananthan, S., Webster, J., Unick, J., Ryder, B. A., & Pohl, D. (2016). Changes in enjoyment, self-efficacy, and motivation during a randomized trial to promote habitual physical activity adoption in bariatric surgery patients. Surgery for PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 49 Obesity and Related Diseases, 12(5), 10721079. https://doi.org/10.1016/j.soard.2016.02.009 Bond, D. S., & King, W. C. (2014). The role of physical activity in optimizing bariatric surgery outcomes. In C. Still, D.B. Sarwer, & J. Blankenship (Eds.), ASMBS textbook of bariatric surgery (pp. 217229). Springer. Branch, J. D., Pate, R. R., & Bourque, S. P. (2000). Moderate Intensity Exercise Training Improves Cardiorespiratory Fitness in Women. Journal of Womens Health & GenderBased Medicine, 9(1), 6573. https://doi.org/10.1089/152460900318984 Bray, G., Kim, K., & Wilding, J. (2017). Obesity: A chronic relapsing progressive disease process. A position statement of the world obesity federation. Obesity Reviews, 18(7), 715723. https://doi.org/10.1111/obr.12551 Buchwald, H., Estok, R., Fahrbach, K., Banel, D., Jensen, M. D., Pories, W. J., Bantle, J. P., & Sledge, I. (2009). Weight and type 2 diabetes after bariatric surgery: Systematic review and meta-analysis. The American Journal of Medicine, 122(3), 248256. https://doi.org/10.1016/j.amjmed.2008.09.041 Cairney, J., Dudley, D., Kwan, M., Bulten, R., & Kriellaars, D. (2019). Physical literacy, physical activity, and health: Toward an evidence-informed conceptual model. Sports Medicine, 49(3), 371383. https://doi.org/10.1007/s40279-019-01063-3 Campbell, D. T., & Stanley, J. C. (1963). Experimental and Quasi-Experimental Designs for Research. Houghton Mifflin. PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 50 Campos, G. M., Khoraki, J., Browning, M. G., Pessoa, B. M., Mazzini, G. S., & Wolfe, L. (2020). Changes in utilization of bariatric surgery in the United States from 1993 to 2016. Annals of surgery, 271(2), 201209. Carson, V., Hunter, S., Kuzik, N., Gray, C. E., Poitras, V. J., Chaput, J. P., Saunders, T. J., Katzmarzyk, P. T., Okely, A. D., Connor Gorber, S., Kho, M. E., Sampson, M., Lee, H., & Tremblay, M. S. (2016). Systematic review of sedentary behavior and health indicators in school-aged children and youth: An update. Applied Physiology, Nutrition, and Metabolism, 41(6 Suppl. 3), S240-S265 Caspersen, C. J., Powell, K. E., & Christenson, G. M. (1985). Physical activity, exercise, and physical fitness: Definitions and distinctions for health-related research. Public Health Reports, 100(2), 126131. https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/3920711/pdf/?tool=EBI Centers for Disease Control and Prevention. (2017, February 17). National Health Interview Survey: Glossary. https://www.cdc.gov/nchs/nhis/physical_activity/pa_glossary.htm#:~:text=Exercise%3A %20A%20type%20of%20physical,more%20components%20of%20physical%20fitness Centers for Disease Control and Prevention. (2021, July 9). Seven states now report obesity at or above 35 percent. Retrieved June 15, 2022, from https://www.cdc.gov/media/releases/2018/s0912-obesity-maps-report.html Centers for Disease Control and Prevention. (2022a, May 20). Obesity is a common, serious, and costly disease. Retrieved June 6, 2022, from https://www.cdc.gov/obesity/data/adult.html PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 51 Centers for Disease Control and Prevention. (2022b, June 3). Defining adult overweight and obesity. Retrieved June 14, 2022, from https://www.cdc.gov/obesity/basics/adultdefining.html Centers for Disease Control and Prevention. (2022c, August 8). Physical activity for a healthy weight. Retrieved September 19, 2022, from https://www.cdc.gov/healthyweight/physical_activity/index.html Chang, S.-H., Stoll, C. T., Song, J., Varela, J., Eagon, C. J., & Colditz, G. A. (2014). The effectiveness and risks of bariatric surgery. JAMA Surgery, 149(3), 275-287. https://doi.org/10.1001/jamasurg.2013.3654 Chang, W. W., Hawkins, D. N., Brockmeyer, J. R., Faler, B. J., Hoppe, S. W., & Prasad, B. M. (2019). Factors influencing long-term weight loss after bariatric surgery. Surgery for Obesity and Related Diseases, 15(3), 456461. https://doi.org/10.1016/j.soard.2018.12.033 Chen, A. (2015). Operationalizing physical literacy for learners: Embodying the motivation to move. Journal of Sport and Health Science, 4(2), 125131. https://doi.org/10.1016/j.jshs.2015.03.005 Chooi, Y. C., Ding, C., & Magkos, F. (2019). The epidemiology of obesity. Metabolism, 92(1), 6-10. Clancy, R.B., Herring, M.P., & Campbell, M.J. (2017). Motivation measures in sport: A critical review and bibliometric analysis. Front. Psychol. 8(1).1-12. https://doi.org/10.3389/fpsyg.2017.00348 Coen, P. M., Tanner, C. J., Helbling, N. L., Dubis, G. S., Hames, K. C., Xie, H., Eid, G. M., Stefanovic-Racic, M., Toledo, F. G., Jakicic, J. M., Houmard, J. A., & Goodpaster, B. H. PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 52 (2014). Clinical trial demonstrates exercise following bariatric surgery improves insulin sensitivity. Journal of Clinical Investigation, 125(1), 248257. https://doi.org/10.1172/jci78016 Colquitt, J. L., Pickett, K., Loveman, E., & Frampton, G. K. (2014). Surgery for weight loss in adults. Cochrane Database of Systematic Reviews, 2014(8), Article CD003641 https://doi.org/10.1002/14651858.CD003641.pub4 Cornish, K., Fox, G., Fyfe, T., Koopmans, E., Pousette, A., & Pelletier, C. A. (2020). Understanding physical literacy in the context of health: A rapid scoping review. BMC Public Health, 20, Article 1569. https://doi.org/10.1186/s12889-020-09583-8 Correia, M. Isabel T. D & Correia, M. Isabel T. D. (2019). The practical handbook of perioperative metabolic and nutritional care (1st ed.). Academic Press. Cottrell, R. R., & McKenzie, J. F. (2011). Health promotion & educational research methods: Using the five-chapter thesis/dissertation model (2nd ed.). Jones and Bartlett. Coumans, J. J., Lechner, L., Bolman, C. W., & Oenema, A. (2022). Clustering of motivational constructs based on self-determination theory for diet and physical activity and their associations with behaviour: A cross-sectional study. Journal of Nutritional Science, 11, Article E22. https://doi.org/10.1017/jns.2022.12 Courcoulas, A. P., King, W. C., Belle, S. H., Berk, P., Flum, D. R., Garcia, L., Gourash, W., Horlick, M., Mitchell, J. E., Pomp, A., Pories, W. J., Purnell, J. Q., Singh, A., Spaniolas, K., Thirlby, R., Wolfe, B. M., & Yanovski, S. Z. (2018). Seven-year weight trajectories and health outcomes in the longitudinal assessment of bariatric surgery (labs) study. JAMA Surgery, 153(5), 427. https://doi.org/10.1001/jamasurg.2017.5025 PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 53 Creswell, J. W. (2014). Research Design: Qualitative, Quantitative and Mixed Methods Approaches (4th ed.). Thousand Oaks, CA: Sage. Daniels, P., Burns, R. D., Brusseau, T. A., Hall, M. S., Davidson, L., Adams, T. D., & Eisenman, P. (2017). Effect of a randomised 12-week resistance-training programme on muscular strength, cross-sectional area, and muscle quality in women having undergone Roux-enY gastric bypass. Journal of Sports Sciences, 36(5), 529535. https://doi.org/10.1080/02640414.2017.1322217 Dasso, N. A. (2018). How is exercise different from physical activity? A concept analysis. Nursing Forum, 54(1), 4552. https://doi.org/10.1111/nuf.12296 Deci, E. L., & Ryan, R. M. (1985). Intrinsic motivation and self-determination in human behavior. Plenum. Deci, E. L., & Ryan, R. M. (2014). Self-determination theory. In P. A. Van Lange, A. W. Kruglanski, & E. T. Higgins (Eds.), Handbook of theories of social psychology (Vol. 1, pp. 416437). SAGE Publications Ltd. https://doi.org/10.4135/9781446249215.n21 DeMaria, E. J., Pate, V., Warthen, M., & Winegar, D. A. (2010). Baseline data from american society for metabolic and bariatric surgery-designated bariatric surgery centers of excellence using the bariatric outcomes longitudinal database. Surgery for Obesity and Related Diseases, 6(4), 347355. https://doi.org/10.1016/j.soard.2009.11.015 Dempsey, P. C., Matthews, C. E., Dashti, S. G., Doherty, A. R., Bergouignan, A., van Roekel, E. H., Dunstan, D. W., Wareham, N. J., Yates, T. E., Wijndaele, K., & Lynch, B. M. (2020). Sedentary Behavior and Chronic Disease: Mechanisms and Future Directions, Journal of Physical Activity and Health, 17(1), 52-61. https://doi.org/10.1123/jpah.2019-0377 PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 54 Diels, S., Vanden Berghe, W., & Van Hul, W. (2020). Insights into the multifactorial causation of obesity by integrated genetic and epigenetic analysis. Obesity Reviews, 21(7), e13019. Dunstan, D. W., Dogra, S., Carter, S. E., & Owen, N. (2021). Sit less and move more for cardiovascular health: Emerging insights and opportunities. Nature Reviews Cardiology, 18(9), 637648. https://doi.org/10.1038/s41569-021-00547-y Edmunds, J., Ntoumanis, N., & Duda, J. L. (2008). Testing a self-determination theory-based teaching style intervention in the exercise domain. European Journal of Social Psychology, 38(2), 375388. https://doi.org/10.1002/ejsp.463 Elkins, G., Whitfield, P., Marcus, J., Symmonds, R., Rodriguez, J., & Cook, T., (2005). Noncompliance with behavioral recommendations following bariatric surgery. Obesity Surgery, 15(4), 546551. https://doi-org.ezproxy.uindy.edu/10.1381/0960892053723385 English, W. J., DeMaria, E. J., Hutter, M. M., Kothari, S. N., Mattar, S. G., Brethauer, S. A., & Morton, J. M. (2020). American society for metabolic and bariatric surgery 2018 estimate of metabolic and bariatric procedures performed in the United States. Surgery for Obesity and Related Diseases, 16(4), 457463. https://doi.org/10.1016/j.soard.2019.12.022 Faul, F., Erdfelder, E., Buchner, A., & Lang, A.-G. (2009). Statistical power analyses using g*power 3.1: Tests for correlation and regression analyses. Behavior Research Methods, 41(4), 11491160. https://doi.org/10.3758/brm.41.4.1149 Field, A. (2017). Discovering statistics using IBM SPSS statistics, (5th ed.). SAGE Garvey, W., Mechanick, J. I., Brett, E. M., Garber, A. J., Hurley, D. L., Jastreboff, A. M., Nadolsky, K., Pessah-Pollack, R., & Plodkowski, R. (2016). American Association of Clinical Endocrinologists and American College of Endocrinology comprehensive PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 55 clinical practice guidelines for medical care of patients with obesity. Endocrine Practice, 22, 1203. https://doi.org/10.4158/ep161365.gl Gaskin, C. J., & Happell, B. (2014). On exploratory factor analysis: A review of recent evidence, an assessment of current practice, and recommendations for future use. International Journal of Nursing Studies, 51(3), 511521. https://doi.org/10.1016/j.ijnurstu.2013.10.005 Gil, S., Kirwan, J. P., Murai, I. H., Dantas, W. S., MeregeFilho, C., Ghosh, S., Shinjo, S. K., Pereira, R. M., Teodoro, W. R., Felau, S. M., Benatti, F. B., SPinto, A. L., Lima, F., Cleva, R., Santo, M., Gualano, B., & Roschel, H. (2021). A randomized clinical trial on the effects of exercise on muscle remodelling following bariatric surgery. Journal of Cachexia, Sarcopenia and Muscle, 12(6), 14401455. https://doi.org/10.1002/jcsm.12815 Gillet, N., Vallerand, R. J., Lafrenire, M.-A. K., & Bureau, J. S. (2012). The mediating role of positive and negative affect in the situational motivation-performance relationship. Motivation and Emotion, 37(3), 465479. https://doi.org/10.1007/s11031-012-9314-5 Gonzlez-Cutre, D., Megas, ., Beltrn-Carrillo, V. J., Cervell, E., & Spray, C. M. (2018). Effects of a physical activity program on post-bariatric patients: A qualitative study from a self-determination theory perspective. Journal of Health Psychology, 25(10-11), 1743 1754. https://doi.org/10.1177/1359105318770729 Grundy S. M. (1998). Multifactorial causation of obesity: Implications for prevention. The American Journal of Clinical Nutrition, 67(3), 563S72S. https://doi.org/10.1093/ajcn/67.3.563S PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 56 Guay, F., Vallerand, R. J., & Blanchard, C. (2000). On the assessment of situational intrinsic and extrinsic motivation: The Situational Motivation Scale (SIMS). Motivation and Emotion, 24(3), 175213. https://doi.org/10.1023/A:1005614228250 Gummelt, D. (2015, June 3). Physical activity vs. exercise: Whats the difference? Acefitness.org. Retrieved June 18, 2022, from https://www.acefitness.org/resources/everyone/blog/5460/physical-activity-vs-exercisewhat-s-the-difference/ Hagger, M. S., Hardcastle, S. J., Chater, A., Mallett, C., Pal, S., & Chatzisarantis, N. L. (2014). Autonomous and controlled motivational regulations for multiple health-related behaviors: between- and within-participants analyses. Health psychology and behavioral medicine, 2(1), 565601. https://doi.org/10.1080/21642850.2014.912945 Hamilton, M.T., Healy, G.N., Dunstan, D.W. et al. Too little exercise and too much sitting: Inactivity physiology and the need for new recommendations on sedentary behavior. Curr Cardio Risk Rep 2, 292298 (2008). https://doi.org/10.1007/s12170-0080054-8 Harvard School of Public Health. (2012, October 20). Toxic food environment. Obesity Prevention Source. https://www.hsph.harvard.edu/obesity-prevention-source/obesitycauses/food-environment-and-obesity/ Hawkes, C., Smith, T. G., Jewell, J., Wardle, J., Hammond, R. A., Friel, S., Thow, A., & Kain, J. (2015). Smart food policies for obesity prevention. The Lancet, 385(9985), 24102421. https://doi.org/10.1016/s0140-6736(14)61745-1 Holler, P., Jaunig, J., Amort, F.-M., Tuttner, S., Hofer-Fischanger, K., Wallner, D., Simi, H., Mller, A., van Poppel, M., & Moser, O. (2019). Holistic physical exercise training PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 57 improves physical literacy among physically inactive adults: A pilot intervention study. BMC Public Health, 19, Article 393. https://doi.org/10.1186/s12889-019-6719-z Holler, P., Jaunig, J., Moser, O., Tuttner, S., Simi, H., Wallner, D., Amort, F., & van Poppel, M. (2021). Primary care and physical literacy: A non-randomized controlled pilot study to combat the high prevalence of physically inactive adults in Austria. International Journal of Environmental Research and Public Health, 18(16), Article 8593. https://doi.org/10.3390/ijerph18168593 Hood, M. M., Corsica, J., Bradley, L., Wilson, R., Chirinos, D. A., & Vivo, A. (2016). Managing severe obesity: Understanding and improving treatment adherence in bariatric surgery. Journal of Behavioral Medicine, 39(6), 10921103. https://doi.org/10.1007/s10865-0169772-4 Hood, M. M., Kelly, M. C., Feig, E. H., Webb, V., Bradley, L. E., & Corsica, J. (2018). Measurement of adherence in bariatric surgery: A systematic review. Surgery for Obesity and Related Diseases, 14(8), 11921201. https://doi.org/10.1016/j.soard.2018.04.013 Huang, Y., Sum, K.-W., Yang, Y.-J., & Chun-Yiu Yeung, N. (2020). Measurements of older adults physical competence under the concept of physical literacy: A scoping review. International Journal of Environmental Research and Public Health, 17(18), Article 6570. https://doi.org/10.3390/ijerph17186570 Hwang, C.-L., Chen, S.-H., Chou, C.-H., Grigoriadis, G., Liao, T.-C., Fancher, I. S., Arena, R., & Phillips, S. A. (2022). The physiological benefits of sitting less and moving more: Opportunities for future research. Progress in Cardiovascular Diseases, 73, 6166. https://doi.org/10.1016/j.pcad.2020.12.010 PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 58 IBM Corp. (2020). IBM SPSS Statistics for Windows (Version 28.0) [Computer software]. IBM Corp International physical literacy association. (n.d.). IPLA. Retrieved June 25, 2022, from https://www.physical-literacy.org.uk/ Jakicic, J. M., Kraus, W. E., Powell, K. E., Campbell, W. W., Janz, K. F., Troiano, R. P., Sprow, K., Torres, A., & Piercy, K. L. (2019). Association between bout duration of physical activity and health: Systematic review. Medicine & Science in Sports & Exercise, 51(6), 12131219. https://doi.org/10.1249/mss.0000000000001933 Jacobi, D., Ciangura, C., Couet, C., & Oppert, J. (2010). Physical activity and weight loss following bariatric surgery. Obesity Reviews, 12(5), 366377. https://doi.org/10.1111/j.1467-789x.2010.00731.x Jefferies, P., Ungar, M., Aubertin, P., & Kriellaars, D. (2019). Physical literacy and resilience in children and youth. Frontiers in Public Health, 7, Article 346. https://doi.org/10.3389/fpubh.2019.00346 Jimnez-Loaisa, A., Gonzlez-Cutre, D., Beltrn-Carrillo, V. J., & Alcaraz-Ibez, M. (2020). Changes in bariatric patients physical activity levels and health-related quality of life following a postoperative motivational physical activity intervention. Obesity Surgery, 30(6), 23022312. https://doi.org/10.1007/s11695-020-04489-1 Jurbala, P. (2015). What is physical literacy, really? Quest, 67(4), 367383. https://doi.org/10.1080/00336297.2015.1084341 Kaplowitz, M. D., Hadlock, T. D., & Levine, R. (2004). A comparison of web and mail survey response rates. Public Opinion Quarterly, 68(1), 94-101. PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 59 Kellar, S. P., & Kelvin, E. A. (2013). Munro's statistical methods for health care research (6th ed.). Wolters Kluwer Health. Kongsved, S. M., Basnov, M., Holm-Christensen, K., & Hjollund, N. H. (2007). Response rate in postal surveys with electronic questionnaires: A systematic review. Journal of Medical Internet Research, 9(2), e16. https://doi.org/10.2196/jmir.9.2.e16 Kowal, J., & Fortier, M.S. (2000). Testing relationships from the hierarchical model of intrinsic and extrinsic motivation using flow as a motivational consequence. Research Quarterly for Exercise and Sport, 71(1), 171181. Kraemer, H.C., Morgan, G., Leech, N., Gliner, J.A., Vaske, J., & Harmon, R.J. (2003). Measures of clinical significance. Journal of the American Academy of Child and Adolescent Psychiatry, 42(12), 15241529. Kuzik, N., Poitras, V. J., Tremblay, M. S., Lee, E. Y., Hunter, S., Carson, V. & Hinkley, T. (2020). Systematic review of the relationships between combinations of movement behaviours and health indicators in the early years (04 years). BMC Public Health, 20(1), 1-23. Lao tzu quotes. (n.d.). BrainyQuote. Retrieved May 27, 2023, from https://www.brainyquote.com/quotes/lao_tzu_137141 Lee, B. Y., Bartsch, S. M., Mui, Y., Haidari, L. A., Spiker, M. L., & Gittelsohn, J. (2017). A systems approach to obesity. Nutrition Reviews, 75(Suppl. 1), 94106. https://doi.org/10.1093/nutrit/nuw049 Liguori, G., & American College of Sports Medicine. (2022). ACSM's guidelines for exercise testing and prescription (11th ed.). Wolters Kluwer. PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 60 Lim, R., Beekley, A., Johnson, D. C., & Davis, K. A. (2018). Early and late complications of bariatric operation. Trauma Surgery & Acute Care Open, 3(1), Article e000219. https://doi.org/10.1136/tsaco-2018-000219 Liu, Y., & Chen, S. (2020). Physical literacy in children and adolescents: Definitions, assessments, and interventions. European Physical Education Review, 27(1), 96112. https://doi.org/10.1177/1356336x20925502 Livhits, M., Mercado, C., Yermilov, I., Parikh, J. A., Dutson, E., Mehran, A., Ko, C. Y., & Gibbons, M. (2010). Exercise following bariatric surgery: Systematic review. Obesity Surgery, 20(5), 657665. https://doi.org/10.1007/s11695-010-0096-0 Lockenhoff, C. E., & Carstensen, L. L. (2004). Socioemotional Selectivity Theory (SST), aging, and health: The increasingly delicate balance between regulating emotions and making tough choices. Journal of Personality, 72(6), 13951424. https://doi.org/10.1111/J.14676494.2004.00301.X Lopez, C., Bendix, J., & Sagynbekov, K. (2020). Weighing down America: 2020 update. Retrieved June 17, 2022, from https://milkeninstitute.org/report/weighing-down-america2020-update Louw, A. J., Mugandani, S. C., & Van Biljon, A. (2012). Exercise motivation and barriers among men and women of different age groups psychology. African Journal for Physical Health Education, Recreation and Dance, 18(41), 759768. Mancini, A. D. (2008). Self-determination theory: A framework for the recovery paradigm. Advances in Psychiatric Treatment, 14(5), 358365. https://doi.org/10.1192/apt.bp.107.004036 PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 61 Manini, T.M. (2015). Using physical activity to gain the most public health bang for the buck. JAMA Intern Med. 175(6), 968-9. https://doi: 10.1001/jamainternmed.2015.0544 Manti, S., & Licari, A. (2018). How to obtain informed consent for research. Breathe, 14(2), 145152. https://doi.org/10.1183/20734735.001918 Markland, D., & Hardy, L. (1993). The Exercise Motivations Inventory: Preliminary development and validity of a measure of individuals' reasons for participation in regular physical exercise. Personality and Individual Differences, 15(3), 289296. https://doi.org/10.1016/0191-8869(93)90219-s McClelland, K. (2013). A qualitative approach using the self-determination theory to understand motivation within the concept of physical literacy. [Unpublished thesis]. The University of Ottawa. https://doi.org/10.20381/ruor-3291 Mechanick, J. I., Brett, E. M., Garber, A. J., Hurley, D. L., Jastreboff, A. M., Nadolsky, K., Pessah-Pollack, R., & Plodkowski, R. (2016). American association of clinical endocrinologists and American college of endocrinology comprehensive clinical practice guidelines for medical care of patients with obesity. Endocrine Practice, 22, 1203. https://doi.org/10.4158/ep161365.gl Mitchell, J. E., Christian, N. J., Flum, D. R., Pomp, A., Pories, W. J., Wolfe, B. M., Courcoulas, A. P., & Belle, S. H. (2016). Postoperative behavioral variables and weight change 3 years after bariatric surgery. JAMA Surgery, 151(8), 752-757. https://doi.org/10.1001/jamasurg.2016.0395 Mohamad, N. I., Sazali, M. H., Ishak, A., Ahmad, H., Azizuddin Khan, T. K., & Nadzalan, A. M. (2020). Determination of original empirical studies in physical literacy. European Journal of Molecular & Clinical Medicine, 7(2). PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 62 Morris, J. N., & Heady, J. A. (1953). Mortality in relation to the physical activity of work: a preliminary note on experience in middle age. British journal of industrial medicine, 10(4), 245. Nesterak, E. (2019, November 25). How to battle the bots wrecking your online study behavioral scientist. Behavioral Scientist. https://behavioralscientist.org/how-to-battlethe-bots-wrecking-your-online-study/ Nikitin, J., Schoch, S., & Freund, A. M. (2014). The role of age and motivation for the experience of social acceptance and rejection. Developmental Psychology, 50(7), 1943 1950. https://doi.org/10.1037/a0036979 Ostendorf, D. M., Schmiege, S. J., Conroy, D. E., Phelan, S., Bryan, A. D., & Catenacci, V. A. (2021). Motivational profiles and change in physical activity during a weight loss intervention: A secondary data analysis. International Journal of Behavioral Nutrition and Physical Activity, 18, Article 158. https://doi.org/10.1186/s12966-021-01225-5 Paffenbarger Jr, R. S., Hyde, R., Wing, A. L., & Hsieh, C. C. (1986). Physical activity, all-cause mortality, and longevity of college alumni. New England journal of medicine, 314(10), 605-613. Palmer, K., Robbins, L. B., Ling, J., Kao, T.-S., Voskuil, V. R., & Smith, A. L. (2020). Adolescent autonomous motivation for physical activity: A concept analysis. Journal of Pediatric Nursing, 54, e36e46. https://doi.org/10.1016/j.pedn.2020.04.020 Patton, M. (2014) Qualitative Research and Evaluation Methods. 4th Edition, Sage, Thousand Oaks. Petridou, A., Siopi, A., & Mougios, V. (2019). Exercise in the management of obesity. Metabolism, 92, 163169. https://doi.org/10.1016/j.metabol.2018.10.009 PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 63 Pit, S., Vo, T., & Pyakurel, S. (2014). The effectiveness of recruitment strategies on general practitioners survey response rates; A systematic review. BMC Medical Research Methodology, 14(1). https://doi.org/10.1186/1471-2288-14-76 Polit, D., & Beck, C. (2020). Essentials of nursing research: Appraising evidence for nursing practice. Lippincott Williams & Wilkins. Pomp, A. (2014). Safety of bariatric surgery. The Lancet Diabetes & Endocrinology, 2(2), 98 100. https://doi.org/10.1016/s2213-8587(14)70009-9 Quested, E., Kritz, M., Hancox, J. E., Ntoumanis, N., & Thgersen-Ntoumani, C. (2021). Promoting self-determined motivation for physical activity: From theory to intervention work. In Z. Zenko & L. Jones (Eds.), Essentials of exercise and sport psychology: An open access textbook (pp. 3761). Society for Transparency, Openness, and Replication in Kinesiology. https://doi.org/10.51224/B1003 Revised common rule. (2017, January 16). HHS.gov. Retrieved June 17, 2022, from https://www.hhs.gov/ohrp/regulations-and-policy/regulations/finalized-revisionscommon-rule/index.html Ren, Z.-Q., Lu, G.-D., Zhang, T.-Z., & Xu, Q. (2018). Effect of physical exercise on weight loss and physical function following bariatric surgery: A meta-analysis of randomised controlled trials. BMJ Open, 8(10), Article e023208. https://doi.org/10.1136/bmjopen2018-023208 Rhodes, R. E., Janssen, I., Bredin, S. S., Warburton, D. E., & Bauman, A. (2017). Physical activity: Health impact, prevalence, correlates and interventions. Psychology & Health, 32(8), 942975. https://doi.org/10.1080/08870446.2017.1325486 PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 64 Richardson W.S., Plaisance A.M., Periou, L., Buquoi, J., Tillery, D. (2009). Long-term Management of patients after weight loss surgery. The Ochsner Journal, 9(3), 154-159. Roetert, E., & Ortega, C. (2019). Physical literacy for the older adult. Strength & Conditioning Journal, 41(2), 8999. https://doi.org/10.1519/ssc.0000000000000430 Rognoni, C., Armeni, P., Tarricone, R., & Donin, G. (2020). Cost-benefit analysis in health care: The case of bariatric surgery compared with diet. Clinical Therapeutics, 42(1), 6075.e7. https://doi.org/10.1016/j.clinthera.2019.12.001 Ryan, R. M., & Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55(1), 6878. https://doi.org/10.1037/0003-066x.55.1.68 Schwarzer, R., Lippke, S., & Luszczynska, A. (2011). Mechanisms of health behavior change in persons with chronic illness or disability: The health action process approach. Rehabilitation Psychology, 56(3), 161170. https://doi.org/10.1037/a0024509 Shih, H.-P., Fan, X., & Tsai, T.-L. (2013). Comparing response rates from web and mail surveys: A meta-analysis. Field Methods, 25(4), 348-366. https://doi.org/10.1177/1525822X12459257 Stamatakis, E., Kelly, P., Strain, T., Murtagh, E. M., Ding, D., & Murphy, M. H. (2019). Selfrated walking pace and all-cause, cardiovascular disease and cancer mortality: Individual participant pooled analysis of 50,225 walkers from 11 population British cohorts. British Journal of Sports Medicine, 53(16), 1019-1026. Standage, M., Butki, B.D., & Treasure, DC (1999). Predicting satisfaction/interest and boredom in the context of physical activity: Achievement goal orientations, situational motivation, and perceived ability. Journal of Sport and Exercise Psychology, 21(Suppl.), S103. PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 65 Standage, M., Duda, J. L., Treasure, D. C., & Prusak, K. A. (2003). Validity, reliability, and invariance of the Situational Motivation Scale (SIMS) across diverse physical activity contexts. Journal of Sport and Exercise Psychology, 25(1), 19-43. Standage, M., & Treasure, DC (2002). Relationship among achievement goal orientations and multidimensional situational motivation in physical education. British Journal of Educational Psychology, 11(1), 87103. Steltenpohl, C.N., Shuster, M., Peist, E., Pham, A., Mikels, J.A., (2019). Me time, or we time? Age differences in motivation for exercise, The Gerontologist, 59(4), 709 717. https://doi.org/10.1093/geront/gny038 Stults-Kolehmainen, M. A., Ciccolo, J. T., Bartholomew, J. B., Seifert, J., & Portman, R. S. (2013). Age and gender-related changes in exercise motivation among highly active individuals. Athletic Insight, 5(1), 4563. Sum, R. K., Cheng, C.-F., Wallhead, T., Kuo, C.-C., Wang, F.-J., & Choi, S.-M. (2018). Perceived physical literacy instrument for adolescents: A further validation of PPLI. Journal of Exercise Science & Fitness, 16(1), 2631. https://doi.org/10.1016/j.jesf.2018.03.002 Sum R., Ha A., Cheng C., Chung P., Yiu K., Kuo C., Yu C., Wang F. (2016). Construction and validation of a perceived physical literacy instrument (PPLI) for physical education teachers. PLoS ONE, 11(5): Article e0155610. https://doi.org/10.1371/journal.pone.0155610 Tabesh, M., Maleklou, F., Ejtehadi, F., & Alizadeh, Z. (2019). Nutrition, physical activity, and prescription of supplements in pre-and post-bariatric surgery patients: A practical PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 66 guideline. Obesity Surgery, 29(10), 33853400. https://doi.org/10.1007/s11695-01904112-y Taplin, L. (2019). Physical literacy as a journey. In M. Whitehead (Ed.), Physical literacy across the world (pp. 239254). Routledge. https://doi.org/10.4324/9780203702697-17 Teixeira, P.J., Carraa, E.V., Markland, D., Silva M.N., Ryan, R.M. (2012). Exercise, physical activity, and self-determination theory: A systematic review. Int J Behav Nutr Phys Act 9(78), 1-30. https://doi.org/10.1186/1479-5868-9-78 Thaker V. V. (2017). Genetic and epigenetic causes of obesity. Adolescent medicine: state of the art reviews, 28(2), 379405. Thompson, P. D., Crouse, S. F., Goodpaster, B., Kelley, D., Moyna, N., & Pescatello, L. (2001). The acute versus the chronic response to exercise. Medicine and science in sports and exercise, 33(6 Suppl), S438S453. https://doi.org/10.1097/00005768-200106001-00012 Toussi, R., Fujioka, K., & Coleman, K. J. (2009). Pre- and post-surgery behavioral compliance, patient health, and post-bariatric surgical weight loss. Obesity, 17(5), 9961002. https://doi-org.ezproxy.uindy.edu/10.1038/oby.2008.628 Tremblay, M. S., Esliger, D. W., Tremblay, A., & Colley, R. (2007). Incidental movement, lifestyle-embedded activity and sleep: new frontiers in physical activity assessment. Canadian journal of public health = Revue canadienne de sante publique, 98 Suppl 2, S208S217. Tremblay, M. S., Esliger, D. W., Tremblay, A., & Colley, R. (2007). Incidental movement, lifestyle-embedded activity and sleep: new frontiers in physical activity assessment. Canadian journal of public health = Revue canadienne de sante publique, 98 Suppl 2, S208S217. PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 67 Vallerand, R. J. (1997). Toward a hierarchical model of intrinsic and extrinsic motivation. In M. P. Zanna (Ed.), Advances in experimental social psychology (pp. 271360). Academic Press. Vallerand, R. J., & Ratelle, C. F. (2002). Intrinsic and extrinsic motivation: A hierarchical model. In E. L. Deci & R. M. Ryan (Eds.), Handbook of self-determination research (pp. 3763). University of Rochester Press. VanderWeele, T. J., & Shipitser, E. (2013). From confounding control to confounding selection. Epidemiology, 24(6), 896-899. https://doi.org/10.1097/EDE.0b013e3182a67c44 Voorwinde, V., Hoekstra, T., Monpellier, V. M., Steenhuis, I. H., Janssen, I. M., & van Stralen, M. M. (2022). Five-year weight loss, physical activity, and eating style trajectories after bariatric surgery. Surgery for Obesity and Related Diseases, 18(7), 911918. https://doi.org/10.1016/j.soard.2022.03.020 Wang, F.-J., Cheng, C.-F., Chen, M.-Y., & Sum, K.-W. (2020). Temporal precedence of physical literacy and basic psychological needs satisfaction: A cross-lagged longitudinal analysis of university students. International Journal of Environmental Research and Public Health, 17(12) Article 4615. https://doi.org/10.3390/ijerph17124615 Welch, G., Wesolowski, C., Piepul, B., Kuhn, J., Romanelli, J., & Garb, J. (2008). Physical activity predicts weight loss following gastric bypass surgery: Findings from a support group survey. Obesity Surgery, 18(5), 517524. https://doi.org/10.1007/s11695-0079269-x Whitehead, M. (2001). The concept of physical literacy. European Journal of Physical Education, 6(2), 127138. https://doi.org/10.1080/1740898010060205 PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 68 Whitehead, M. (2007). Physical literacy: Philosophical considerations in relation to developing a sense of self, universality, and propositional knowledge. Sport, Ethics and Philosophy, 1(3), 281298. https://doi.org/10.1080/17511320701676916 Whitehead, M. (2010). Physical literacy: Throughout the life course. Routledge. Whitehead, M. (2019). In support of physical literacy throughout life. In M. Whitehead (Ed.), Physical literacy across the world (pp. 3244). Routledge. https://doi.org/10.4324/9780203702697-4 Wilson, D. K., Griffin, S., Saunders, R. P., Evans, A., Mixon, G., Wright, M., Beasley, A., Umstattd, M., Lattimore, D., Watts, A., & Freelove, J. (2006). Formative evaluation of a motivational intervention for increasing physical activity in underserved youth. Evaluation and Program Planning, 29(3), 260268. https://doi.org/10.1016/j.evalprogplan.2005.12.008 Wolfe, B. M., Kvach, E., & Eckel, R. H. (2016). Treatment of obesity. Circulation Research, 118(11), 18441855. https://doi.org/10.1161/circresaha.116.307591 World Obesity Atlas 2022. (n.d.). World Obesity Federation. Retrieved June 8, 2022, from https://www.worldobesity.org/resources/resource-library/world-obesity-atlas-2022 Zabatiero, J., Hill, K., Gucciardi, D. F., Hamdorf, J. M., Taylor, S. F., Hagger, M. S., & Smith, A. (2015). Beliefs, barriers, and facilitators to physical activity in bariatric surgery candidates. Obesity Surgery, 26(5), 10971109. https://doi.org/10.1007/s11695-0151867-4 Zamarripa, J., Castillo, I., Baos, R., Delgado, M., & lvarez, O. (2018). Motivational regulations across the stages of change for exercise in the general population of PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS Monterrey, Mexico. Frontiers in Psychology, 9(1), 1-11. https://doi.org/10.3389/fpsyg.2018.02368 69 PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS Table 1 Sample Demographics and Descriptive Statistics (N = 128) Variable Name and Categories N (%) Age <35 18 (14.1) 35-39 15 (11.7) 40-44 22 (17.2) 45-49 29 (22.7) 50-54 16 (12.5) 55-59 15 (11.7) 60-65 13 (10.2) Gender Female 115 (89.8) Male 13 (10.2) Caucasian White 86 (67.2) Non-Caucasian/Non-White 42 (32.8) Race NWI Residence No 17 (13.3) Yes 111 (86.7) Marital Status Married 75 (58.6) Not Married 53 (41.4) 70 PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS Education College Graduate 44 (34.4) Graduate/Professional 22 (17.2) Degree HS Graduate or GED 10 (7.8) Some College 52 (40.6) Surgery Type Gastric ByPass 42 (32.8%) Sleeve Gastrectomy 86 (67.2%) Years Since Surgery <1 year 32 (25) 1 year 22 (17.2) 2 years 18 (14.1) 3 years 14 (10.9) 4 years 15 (11.7) 5 years 15 (11.7) 6 years 12 (9.4) Not Safe 6 (4.7) Safety Safe 122 (95.3) Access to Physical Activity Good Access 116 (90.6) Poor Access 12 (9.4) Note. NWI = Northwest Indiana; HS = High School; GED = General Education Development. 71 PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS Table 2 Descriptive Statistics for PPLI Scores and Motivation Scores (N = 128) M (SD) PPLI Summary 33.58 (4.94) Knowledge and Understanding 12.55 (1.75) Self-Expression 11.08 (2.08) Sense of Self 9.95 (2.56) Autonomous Motivation Index 21.53 (4.21) Control Motivation Index 12.11 (4.22) Note. PPLI = Perceived Physical Literacy Instrument 72 PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 73 Table 3 Correlations between PPLI Summary Score and Sub-Scores and Autonomous Motivation Index (N=128) r p PPLI Summary .44 < .001 Knowledge and Understanding .57 < .001 Self-Expression .13 .161 Sense of Self .35 < .001 Note. PPLI = Perceived Physical Literacy Instrument PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 74 Table 4 Correlations between PPLI Summary Scores and Sub Scores and Control Motivation Index (N=128) R P -.15 .096 Understanding -.24 .005 Self-Expression -.01 .883 Sense of Self -.11 .228 PPLI Summary Knowledge and Note. PPLI = Perceived Physical Literacy Instrument PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 75 Table 5 Linear Regression Model Predicting Autonomous Motivation Index from Knowledge and Understanding and Sense of Self (N = 128) B SE t 95% Confidence Interval Constant Lower Upper p 4.44 2.26 1.97 0.021 8.90 .051 Understanding 1.37 0.23 6.05 0.92 1.81 < .001 Sense of Self -.01 0.15 -0.03 0.31 0.30 .976 Knowledge and PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 76 Table 6 Correlations between Age and Motivation Measures (N=128) Autonomous Motivation Rs P -.01 .887 .13 .141 Index Control Motivation Index PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 77 Table 7 Correlations between Age and PPLI Summary Scores and Sub Scores (N=128) Rs P -.09 .312 Understanding -.12 .173 Self-Expression -.03 .720 Sense of Self -.06 .502 PPLI Summary Knowledge and Note. PPLI = Perceived Physical Literacy Instrument PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS Appendix A 78 PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS Appendix B 79 PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS Appendix C 80 PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS Appendix D 81 PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 82 PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 83 PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS Appendix E 84 PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS ````````````````````````````````````````````````````````````````````````````` 85 PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 86 PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 87 PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 88 PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS 89 PHYSICAL LITERACY, MOTIVATION, AND BARIATRICS Appendix F 90 ...