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ABSTRACT: Excessive body weight and adiposity contribute to many adverse health concerns. The American College of Sports Medicine (ACSM) recognizes that the condition of excess body weight and adiposity is complex, with numerous factors warranting consideration. The ACSM published a position stand on this topic in 2001 with an update in 2009, and a consensus paper on the role of physical activity in the prevention of weight gain in 2019. This current consensus paper serves as an additional update to those prior ACSM position and consensus papers. The ACSM supports the inclusion of physical activity in medical treatments (pharmacotherapy, metabolic and bariatric surgery) of excess weight and adiposity, as deemed to be medically appropriate, and provides perspectives on physical activity within these therapies. For weight loss and prevention of weight gain, the effects may be most prevalent when physical activity is progressed in an appropriate manner to at least 150 min·wk-1 of moderate-intensity physical activity, and these benefits occur in a dose-response manner. High-intensity interval training does not appear to be superior to moderate-to-vigorous physical activity for body weight regulation, and light-intensity physical activity may also be an alternative approach provided it is of sufficient energy expenditure. Evidence does not support that any one single mode of physical activity is superior to other modes for the prevention of weight gain or weight loss, and to elicit holistic health benefits beyond the effects on body weight and adiposity, multimodal physical activity should be recommended. The interaction between energy expenditure and energy intake is complex, and the effects of exercise on the control of appetite are variable between individuals. Physical activity interventions should be inclusive and tailored for sex, self-identified gender, race, ethnicity, socioeconomic status, age, and developmental level. Intervention approaches can also include different forms, channels, and methods to support physical activity.

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PURPOSE: To examine user experiences in a moderated Facebook group intervention aimed at Coronavirus disease 2019 (COVID-19) vaccine promotion. DESIGN: Facebook group members were given 2-3 vaccination posts/day for 28 days (four weeks). Posts were aimed at educating about COVID-19 vaccination, soliciting concerns around COVID-19 vaccination, and engaging members. Participants were surveyed about their experience at four weeks. SETTING: Moderated Facebook group. PARTICIPANTS: Unvaccinated individuals who were randomized to the intervention group and completed four week follow-up (N = 216, 82.1%). METHOD: After four weeks, participants rated their experience in the Facebook group (eg, program satisfaction) and provided open-text responses about their satisfaction with the group. Free-text responses were dual coded and emergent themes were examined. RESULTS: On average, participants were 37.0 years old (SD = 10.3), majority female (70.9%), and white (79.7%). The majority of participants were satisfied with the group (76.7%), agreed that other people were friendly (M = 5.58/7), and felt safe discussing health information (M = 3.96/5). Open-text responses revealed that participants liked the program because they thought the information was useful (27.7%), other members were friendly (16.1%), and the group was a safe place (13.8%). While many responded that there was nothing they did not like about the program (37.6%), nearly one-third (31.9%) reported disliking the program because it appeared to be too much in favor of vaccination and because other members came across as rude (7.1%). Those with conservative political views were less likely to be satisfied with the group (P = .04). CONCLUSION: Facebook groups represent an acceptable way to engage participants to improve vaccination against COVID-19. Some aspects of the Facebook group could be improved for future iterations.

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BACKGROUND: There are disparities in the prevalence of physical activity (PA) with women engaging in less PA than men, a gap which widens during midlife. Walking is a generally accepted form of PA among women and should be encouraged. Motivations, barriers, and attitudes to engaging in walking change with age, but the influencing factors are not well understood nor are the features of mobile apps that facilitate daily walking. OBJECTIVE: This study explores the relationship between age and women's self-reported motivations, barriers, attitudes, and beliefs toward daily walking. It further assesses attitudes toward features of a mobile app designed to sync with a wearable step tracker to increase and maintain levels of daily walking among women. METHODS: A web-based anonymous survey was completed by 400 women, aged 21-75 years. The 31-item survey captured women's perceived barriers and motivators toward daily walking and attitudes toward mobile apps to support and maintain daily walking. For analysis, responses to the survey were grouped into 2 categories of women: ages 21-49 years and ages 50-75 years. Bivariate analyses were conducted through SPSS (IBM Corp) for each of the survey questions using chi-square for dichotomous variables and 1-tailed t tests for scales and continuous variables to identify significant differences between the groups. One-tailed t tests were run for scaled variables to identify significant differences between the 10-year age increments. RESULTS: Significant barriers to daily walking were observed in the 21-49-year group for personal and work responsibilities, motivational and psychosocial factors, and physical and environmental factors. Motivators to walk daily in the 21- 49-year group were significantly higher to reduce stress and anxiety, and motivators to walk daily in the 50-75-year group were significantly higher to help manage or lose weight and to reduce the risk of chronic illness. Women's walking preferences, beliefs around their walking behaviors, and their perceived importance of the features of a future mobile app for walking designed specifically for women showed significant variation according to age. When asked about the importance of features for a mobile app, women aged 21-49 years indicated a significantly higher number of positive responses for the following features: digital community support, rewards or point system, and seeing a daily or weekly or monthly progress chart. CONCLUSIONS: Our findings indicate that barriers, motivators, and beliefs around daily walking and the importance of preferred features of a mobile app vary according to women's ages. Messaging and app features should be tailored to different age groups of women. These study results can be viewed as a foundation for future research and development of mobile health interventions to effectively increase daily walking among women of all ages.

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BACKGROUND: Vaccine misinformation has been widely spread on social media, but attempts to combat it have not taken advantage of the attributes of social media platforms for health education. METHODS: The objective was to test the efficacy of moderated social media discussions about COVID-19 vaccines in private Facebook groups. Unvaccinated U.S. adults were recruited using Amazon's Mechanical Turk and randomized. In the intervention group, moderators posted two informational posts per day for 4 weeks and engaged in relationship-building interactions with group members. In the control group, participants received a referral to Facebook's COVID-19 Information Center. Follow-up surveys with participants (N = 478) were conducted 6 weeks post-enrollment. RESULTS: At 6 weeks follow-up, no differences were found in vaccination rates. Intervention participants were more likely to show improvements in their COVID-19 vaccination intentions (vs. stay same or decline) compared with control (p = .03). They also improved more in their intentions to encourage others to vaccinate for COVID-19. There were no differences in COVID-19 vaccine confidence or intentions between groups. General vaccine and responsibility to vaccinate were higher in the intervention compared with control. Most participants in the intervention group reported high levels of satisfaction. Participants engaged with content (e.g., commented, reacted) 11.8 times on average over the course of 4 weeks. CONCLUSIONS: Engaging with vaccine-hesitant individuals in private Facebook groups improved some COVID-19 vaccine-related beliefs and represents a promising strategy.

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BACKGROUND: Distrust and partisan identity are theorized to undermine health communications. We examined the role of these factors on the efficacy of discussion groups intended to promote vaccine uptake. METHOD: We analyzed survey data from unvaccinated Facebook users (N = 371) living in the US between January and April 2022. Participants were randomly assigned to Facebook discussion groups (intervention) or referred to Facebook's COVID-19 Information Center (control). We used Analysis of Covariance to test if the intervention was more effective at changing vaccination intentions and beliefs compared to the control in subgroups based on participants' partisan identity, political views, and information trust views. RESULTS: We found a significant interaction between the intervention and trust in public health institutions (PHIs) for improving intentions to vaccinate (P = .04), intentions to encourage others to vaccinate (P = .03), and vaccine confidence beliefs (P = .01). Among participants who trusted PHIs, those in the intervention had higher posttest intentions to vaccinate (P = .008) and intentions to encourage others to vaccinate (P = .002) compared to the control. Among non-conservatives, participants in the intervention had higher posttest intentions to vaccinate (P = .048). The intervention was more effective at improving intentions to encourage others to vaccinate within the subgroups of Republicans (P = .03), conservatives (P = .02), and participants who distrusted government (P = .02). CONCLUSIONS: Facebook discussion groups were more effective for people who trusted PHIs and non-conservatives. Health communicators may need to segment health messaging and develop strategies around trust views.

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Student physical activity is associated with lower stress. Research gaps remain regarding the types of stress management behaviors students use and how these behaviors are associated with students' activity levels. This study examined associations between physical activity and stress management behaviors among students (18-35 years). Students with overweight/obesity (n = 405) attending universities in 2 urban locations enrolled in a randomized controlled trial to promote healthy weight and completed the following baseline measurements: perceived stress, stress management behaviors, accelerometer-measured physical activity, and demographic characteristics. Perceived stress did not differ by physical activity status or race. A greater proportion of students meeting moderate-to-vigorous physical activity guidelines used physically active stress management behaviors compared to those not meeting guidelines (74% vs 56%; P = .006), and students using physically active stress management had lower stress scores (13.1 vs 15.5; P = .003). Among Black and White students only (n = 306), a greater proportion of White students used physically active stress management behaviors compared to Black students (77% vs 62%, P = .013). Results indicate differences in stress management behaviors by student activity level and race. During times of high stress, colleges/universities might support students by promoting stress management and physical activity in tandem, and tailoring messages to student activity levels and demographic characteristics.

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Cost-effectiveness analyses of weight loss programs for university students can inform administrator decision-making. This study quantifies and compares the costs and cost-effectiveness of implementing two digitally-delivered weight loss interventions designed for university populations. Healthy Body Healthy U (HBHU) was a randomized controlled trial comparing TAILORED (personalized) versus TARGETED (generic) weight loss interventions adapted specifically for young adults to a CONTROL intervention. Participants (N = 459; 23.3 ± 4.4 years; mean BMI 31.2 ± 4.4 kg/m2) were recruited from two universities. Implementation costs were examined from a payer (i.e., university) perspective, comparing both the average cost effectiveness ratio (ACER) and the incremental cost effectiveness ratio (ICER) of the two interventions. Cost-effectiveness measures were calculated for changes in body weight, abdominal circumference, HDL cholesterol, systolic and diastolic blood pressure, and HbA1c. The overall 6-month implementation costs were $105.66 per person for the TAILORED intervention and $91.44 per person for the TARGETED intervention. The ACER for weight change was $107.82 for the TAILORED and $179.29 for the TARGETED interventions. The ICER comparing TAILORED with TARGETED for change in body weight was $5.05, and was even lower ($2.28) when including only those with overweight and not obesity. The ICERs for change in abdominal circumference, HDL cholesterol, systolic and diastolic blood pressure, and HbA1c were $3.49, $59.37, $1.57, $2.64, and $47.49, respectively. The TAILORED intervention was generally more cost-effective compared with the TARGETED intervention, particularly among those with overweight. Young adults with obesity may require more resource-intensive precision-based approaches.

Knowledge about the cost-effectiveness of weight loss programs for university students is needed to inform administrator decision-making regarding whether to provide such programming. This study examined the cost-effectiveness of two digitally-delivered weight loss interventions (i.e., TAILORED and TARGETED) designed for university students. The TAILORED intervention included information tailored to the individual, while the TARGETED intervention included only generic weight loss information. At 6 months, the average cost per kilogram of weight loss was $107.82 for TAILORED participants and $179.29 for TARGETED participants. The TAILORED intervention was generally more cost-effective compared with the TARGETED intervention.

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Sleep is an important behavior, and during pregnancy plays a critical role in promoting the health of both woman and child. Therefore, identifying and addressing sleep parameters during pregnancy, and associated disparities in maternal-child health outcomes, is a public health priority. This studied aimed to examine chronotype and sleep duration in pregnant women by sociodemographic factors. An online survey was distributed to currently pregnant women living in the greater Washington, DC, area of the United States from March to May of 2022. The survey included the ultra-short version of the Munich Chronotype Questionnaire (µMCTQ), which was used to calculate the mid-point of sleep time (MST; a measure of chronotype) and sleep duration, as well as demographic questions. Linear regression was used to assess differences in sleep outcomes by demographic factors. A sample of n = 142 currently pregnant women were eligible for analysis. In covariate adjusted models, sleep duration was longer among respondents ages 25-34 (09:52) compared with younger respondents ages 18-24 (08:59; p = 0.014), and shorter for those with a household income ≥ 100,000 United States dollars (USD) (07:42) compared with those with a household income < 50,000 USD (08:59; p = 0.001). No differences in mean mid-point of sleep were identified across demographic factors. Differences in sleep duration by age and household income were found among currently pregnant women. Future studies should investigate sleep parameters and other factors that may influence maternal-child health disparities.

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BACKGROUND: This study examines the relationship between various domains of sedentary behavior and subsequent cognitive function to evaluate whether different sedentary activities have specific associations with future cognitive performance. METHODS: Data were from 1 261 older adults participating in the Health, Aging, and Body Composition (Health ABC) Study between 1999/2000 and 2006/2007. Total sitting time (hours/day), reading time (hours/week), and TV time (≤27/≥28 h/wk) were self-reported at baseline and 3 years later. At follow-up, cognitive function was evaluated using the Teng Mini-Mental State Examination (3MS) and the Digit Symbol Substitution Test (DSST). Multivariable linear regression modeling examined the independent associations of baseline sedentary behaviors and 3-year change in those behaviors with cognitive function scores at follow-up, adjusting for important covariables. RESULTS: Baseline total sitting time was positively associated with 3MS (ß = 0.14 ± 0.07; p < .05) and DSST (ß = 0.20 ± 0.10; p < .05) scores at follow-up, as was reading time (ß = 0.09 ± 0.03; p < .05 for 3MS score and ß = 0.14 ± 0.04; p < 0.01 for DSST score). Participants who increased their TV watching time over 3 years had a significantly lower 3MS score (ß = -1.45 ± 0.71; p < .05) at follow-up, compared with those who maintained a low level of TV time (referent). These findings were independent of age, sex, race, education level, health status, depressive symptoms, and physical activity. CONCLUSION: Some types of sedentary behavior may have benefits for cognitive function in older age, thus highlighting the importance of measuring different domains of sitting time.

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Background: Most U.S. college students do not meet physical activity guidelines. Physical activity requirements (PAR) are a proposed solution for increasing undergraduate physical activity. Purpose: To determine whether college/university PAR are associated with undergraduates' self-reported physical activity. Methods: Undergraduate students (N = 383,632) attending colleges and universities taking part in the American College Health Association-National College Health Assessment II survey (2015-2019) self-reported physical activity and demographics. Using websites and course catalogs, researchers coded schools to indicate binary PAR status. Bayesian Hierarchical Logistic Regression was used to determine the percentage of students meeting physical activity guidelines; interactions between PAR status and student characteristics (sex, BMI) were examined. Results: PAR status was positively associated with percent of students meeting physical activity guidelines (PAR: 43.3%, without: 40.5%; difference score 95% Highest Density Interval [HDI; 1.0, 4.5]). A greater percentage of students attending schools with PAR, versus without, met physical activity guidelines across all categories of sex and weight. However, the positive relationship between PAR status and physical activity was stronger among male students (PAR: 46.7%, without: 43.2%; 95% HDI [1.6, 5.4]) compared to female students (PAR: 39.9%, without: 37.9%; 95% HCI [0.2, 3.8]), and among students with underweight (PAR: 39.2%, without: 35.5%; 95% HDI [1.2, 6.3]) or obesity (PAR: 37.1%, without: 33.7%; 95% HDI [1.4, 5.3]) compared to normal weight (PAR: 49.3%, without: 47.4%; 95% HDI [0.1, 3.7]) or overweight (PAR: 47.5%, without: 45.5%; 95% HDI [0.1, 4.0]). Conclusions: PAR are associated with meeting physical activity guidelines, particularly among college/university students with underweight or obesity.

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Digital communication is a common intervention channel for weight loss, yet little is known about the types of messages that are most effective. Using McGuire's Model of Communication and Persuasion as a framework, this study investigates the persuasiveness of Facebook messages posted as part of the weight loss intervention in the Healthy Body Healthy U (HBHU) study to determine what message characteristics prompt higher engagement on Facebook, and whether certain messages are more appealing to certain demographics. The first four weeks of HBHU Facebook posts (n = 32) were coded according to McGuire's Input Communication Factors. Facebook engagement scores [(Total Engaged Users/Total Reach) × 100] were calculated for each post to determine effectiveness. The most effective posts were diet-related discussions or interactive polls. Participants who engaged with the highest and lowest effect posts were in their mid-twenties and tended to be female. Those engaged with the highest effect posts had an average BMI of 32.34 kg/m2, while those engaged with the lowest effect posts had an average BMI of 31.31 kg/m2. The least effective posts were didactic lessons (i.e., diet- or reminder-based), or video-based informational posts (edutainment). Future interventions should balance didactic content and interactive engagement to achieve persuasive messaging.

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BACKGROUND: Since March 2020, the need to reduce patients' exposure to COVID-19 has resulted in a large-scale pivot to telehealth service delivery. Although studies report that pregnant women have been generally satisfied with their prenatal telehealth experiences during the pandemic, less is known about telehealth satisfaction among postpartum women. OBJECTIVE: This study examined telehealth satisfaction among both pregnant and recently pregnant women during the COVID-19 pandemic, to determine whether demographic factors (ie, race, age, marital status, education level, household income, and employment status) are associated with telehealth satisfaction in this population. METHODS: A web-based cross-sectional survey designed to capture data on health-related behaviors and health care experiences of pregnant and recently pregnant women in the United States was disseminated in Spring 2022. Eligible participants were at least 18 years old, identified as a woman, and were currently pregnant or had been pregnant in the last 3 years. RESULTS: In the final analytic sample of N=403, the mean telehealth satisfaction score was 3.97 (SD 0.66; score range 1-5). In adjusted linear regression models, being aged 35-44 years (vs 18-24 years), having an annual income of ≥ US $100,000 (vs < US $50,000), and being recently (vs currently) pregnant were associated with greater telehealth satisfaction (P≤.049). CONCLUSIONS: Although perinatal women are generally satisfied with telehealth, disparities exist. Specifically, being aged 18-24 years, having an annual income of < US $50,000, and being currently pregnant were associated with lower telehealth satisfaction. It is critical that public health policies or programs consider these factors, especially if the expanded use of telehealth is to persist beyond the pandemic.

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This article characterizes role models identified by emerging/young adults for healthy eating and physical activity (PA), explores variations in reported role models by age, sex and race/ethnicity, and examines dietary/physical activity behaviors in relation to role models. Emerging/young adults (n=397) enrolled in a randomized controlled weight management trial completed assessments at baseline: self-reported role models for healthy eating and PA, Healthy Eating Index, device-measured PA, and demographics. Participants were 78% female, 50% non-White, with mean age 23.3 years, mean BMI 31.1 kg/m2. For both healthy eating and PA, the most frequently reported role model was friend (diet: 35%; PA: 39%). Parent was reported second most frequently for healthy eating (21%) and third most frequently for PA (11%). Role models for healthy eating, but not PA, differed by race/ethnicity. Role models did not differ by age or sex. Results may inform future interventions to promote healthy behaviors in emerging adults.

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Digital media are omnipresent in modern life, but the science on the impact of digital media on behavior is still in its infancy. There is an emerging evidence base of how to use digital media for behavior change. Strategies to change behavior implemented using digital technology have included a variety of platforms and program strategies, all of which are potentially more effective with increased frequency, intensity, interactivity, and feedback. It is critical to accelerate the pace of research on digital platforms, including social media, to understand and address its effects on human behavior. The purpose of the current paper is to provide an overview and describe methods in this emerging field, present use cases, describe a future agenda, and raise central questions to be addressed in future digital health research for behavior change. Digital media for behavior change employs three main methods: (1) digital media interventions, (2) formative research using digital media, and (3) digital media used to conduct evaluations. We examine use cases across several content areas including healthy weight management, tobacco control, and vaccination uptake, to describe and illustrate the methods and potential impact of this emerging field of study. In the discussion, we note that digital media interventions need to explore the full range of functionality of digital devices and their near-constant role in personal self-management and day-to-day living to maximize opportunities for behavior change. Future experimental research should rigorously examine the effects of variable levels of engagement with, and frequency and intensity of exposure to, multiple forms of digital media for behavior change.

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Physical activity requirements (PAR; ie, courses required for graduation) have been proposed as a policy solution for increasing undergraduate physical activity. This study aimed to report prevalence of PAR among US colleges/universities participating in the American College Health Association-National College Health Assessment (ACHA-NCHA) and to understand whether these requirements were associated with campus characteristics. Data from the American College Health Association-National College Health Assessment II serial cross-sectional survey (2015-2019) were merged with researcher coded variables (2019): binary PAR status, nature of PAR (activity-based, conceptual, or combination), and number of courses required to fulfill the PAR. Logistic regression determined whether campus characteristics were associated with PAR in 2019. Nonparametric tests examined differences in nature and number of PAR courses. Of 379 schools, 59 (15.6%) had PAR, with 36 (61.0%) having activity-based PAR and 23 (39.0%) having a combination. Compared to public and four-year schools, private (OR=3.47 [1.77, 6.80]) and two-year schools (OR=6.55 [2.21, 19.45]) had significantly increased odds of having PAR. Private schools required significantly more PAR courses compared to public schools (2.42 vs. 1.73, P=.005). PAR were less prevalent in this sample than reported historically, indicating need for campus leadership attention to this issue. Research is needed to understand what barriers exist to implementing and maintaining PAR on college/university campuses, particularly among public and four-year schools. Understanding health promotion practices among ACHA member schools, which have made leadership commitments to promote student health, can provide greater knowledge of PAR barriers and best practices in schools across the United States and globally.

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Cardiometabolic disease risk factors, including metabolic syndrome and physical inactivity, are prevalent among young adults. However, few young adults are aware of their risk status. The risk perception attitude (RPA) framework was used to categorize participants (n = 456) enrolled in a three-arm randomized controlled weight management trial by their baseline values of cardiometabolic risk perceptions and physical activity self-efficacy. Trial recruitment occurred at two universities from 2015 to 2018 and participants were randomly assigned to one of three weight management interventions: Tailored, Targeted, Control. Cross-sectional and longitudinal analyses were conducted to examine associations between RPA category (i.e., Responsive, Indifferent, Avoidant, Proactive) and physical activity behavior. At baseline, the Responsive group had the highest amount of physical activity (mean [95% CI]: 379.2 [332.6 to 425.8] min/week), the Indifferent group had the lowest (296.7 [261.98 to 331.32] min/week), and the Avoidant/Proactive groups showed intermediate values. Over 6 months, there was a significant interaction between RPA group and intervention arm on change in physical activity adjusted for age, sex, race/ethnicity, baseline body mass index, and baseline moderate-to-vigorous physical activity (p = .017). Among Tailored intervention participants only, the Proactive participants were the only group to have an increase in physical activity (19.97 min/week) and the Indifferent participants had the most significant decrease in physical activity (127.62 min/week). Results suggest the importance of early screening for young adults to help raise awareness of cardiometabolic risk and ultimately support them in health promotion efforts.

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BACKGROUND: Campus environments are associated with undergraduate weight. However, few studies have examined campus type and geographic location in relation to student weight. This article aimed to identify college/university students with elevated BMIs by campus type and region. METHODS: Linear mixed effects regression models were fit to data from the American College Health Association-National College Health Assessment II. Analyses tested associations between campus type/region and student self-reported BMI. RESULTS: The sample included 404,987 students from 445 schools with mean BMI 24.9 ± 5.8. Across all school types/regions, BMI confidence intervals included overweight values. Two-year and public school students had higher BMIs compared to four-year and private school students, respectively. Students in the Midwest had higher BMIs compared to students in the Northeast. In the South only, Minority Serving Institution (MSI) students had higher BMIs compared to non-MSI students. CONCLUSION: Healthy weight maintenance programs should be made available to undergraduate students.

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BACKGROUND: Despite the public health significance of overweight and obesity, weight management has remained a low priority for health-related programming on university campuses. OBJECTIVE: Investigate the need for and feasibility of implementing university-based weight loss programs. METHODS: The Practical, Robust Implementation and Sustainability Model (PRISM) was used as a framework. Semi-structured individual interviews were conducted with fifteen university staff and students from two large U.S. universities in the Northeast and Mid-Atlantic. Interviews aimed to assess readiness, preferences, characteristics, barriers and facilitators in each of the four adapted PRISM domains: (1) Organizational and Recipient (Student) Perspectives on the Intervention, (2) Recipient (Student) Characteristics, (3) Internal Environment (organizational characteristics and infrastructure), and (4) External Environment. Verbatim transcriptions were analyzed using inductive and deductive thematic analyses. Themes were extracted as outlined by Consensual Qualitative Research. RESULTS: Participants supported university-based weight loss programs, but recognized barriers of resources, coordination across entities, and competing health issues taking priority for school programming. Campus built environment and students' busy schedules were identified as barriers to maintaining healthy weight and participation in weight loss programs. Recommendations included designing weight loss programming with a positive and holistic approach, minimizing weight-stigma, ensuring support from university leaders and students, and securing external funding. CONCLUSIONS: The identified themes provide recommendations for universities looking to develop and implement weight loss programming.

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Sedentary behaviors, low levels of physical activity (PA), and low body image quality of life have been identified during college years and associated with poor health outcomes. Public health efforts have recently focused on decreasing sedentary time by increasing light physical activity, both of which have been associated with body image quality of life, though mainly through self-report. In this cross-sectional study, we examined objective actigraphy and survey data from 404 of 459 young adults with overweight and obesity (mean age 23.3 ± 4.4 years, 78.4% female, 55.4% white). PA was measured using an accelerometer worn during waking hours for >10 h/day for four days. Body image quality of life was assessed using the Body Image Quality of Life Inventory Scale. Body image was positively correlated with light PA (r = 0.15) and inversely correlated with BMI (Pearson's r = -0.20) and sedentary time (r = -0.10), but not moderate PA, vigorous PA, or MVPA. Light PA and sedentary time were significantly inversely correlated (r = -0.38). When controlling for covariates, higher body image quality of life was significantly associated with higher levels of light PA (ß = 0.39; p < 0.01) and lower sedentary time (ß = -0.39; p = 0.02). Participants with lower body image quality of life enrolled in weight loss interventions may benefit from prescriptions of light PA in conjunction with decreasing sedentary behaviors.

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Weight loss outcomes among young adults in technology-based programs have been equivocal. The purpose of this study was to deliver digital weight loss treatments to young adults and examine the 6, 12, and 18 month effects on weight loss. Young adults with overweight/obesity (N = 459; 23.3 ± 4.4 years) were recruited from two university sites and randomly assigned to receive through Facebook and text messaging either personalized (TAILORED; n = 150) or generic (TARGETED; n = 152) weight loss information, messages, and feedback or general healthy body content (e.g., body image, sleep; CONTROL; n = 157). The study was powered to detect a 2.1-kg difference at all time points with the primary outcome being 18 months. There was no overall effect of treatment group on 6, 12, or 18 month weight loss (ps = NS). However, at 6 months, those in TAILORED who were highly engaged (completing >66%) lost more weight compared to CONTROL (-2.32 kg [95% confidence intervals: -3.90, -0.74]; p = .004), with the trend continuing at 12 months. A significant baseline body mass index (BMI) by treatment group interaction (p = .004) was observed at 6 months. Among participants in the lowest baseline BMI category (25-27.5 kg/m2), those in TAILORED lost 2.27 kg (-3.86, -0.68) more, and those in TARGETED lost 1.72 kg (-3.16, -0.29) more than CONTROL after adjusting for covariates. Among participants with a BMI between 27.5 and 30 kg/m2, those in TAILORED lost 2.20 kg (-3.90, -0.51) more than participants in TARGETED. Results did not persist over time with no treatment interaction at 12 or 18 months. Initial body weight should be considered when recommending weight loss treatments for young adults. More intensive interventions or stepped care approaches may be needed for young adults with obesity.

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