Identifying the behavior change techniques used in obesity interventions: An example from the EARLY trials.

Objective: The dissemination of effective obesity interventions requires the documentation of key elements of the intervention. But outcome papers and other published manuscripts often lack detail that allow the replication of the intervention. The Behavior Change Technique (BCT) Taxonomy (BCTTv1) is a widely used approach to identify key elements of an intervention study. This study compares the extent to which BCTs and domains identified in studies' intervention protocol are concordant with detail from corresponding intervention design and study outcome papers. Methods: Data come from four obesity interventions with complete intervention protocols as well as published intervention design and outcome papers. The number of domains and BCTs was calculated for each treatment arm and stratified by coding source. Emphasis of domains and BCTs was determined using an Analytical Hierarchy Process (AHP). Results: A review of each study's intervention protocol showed the mean number of domains and BCTs used in treatment arms as 11.8 and 26.7, respectively. Primary outcome papers had a mean loss of 34% of the reported domains and 43% of BCTS as compared with intervention protocl. Design papers showed a loss of 11% and 21% of domains and BCTs, respectively. Conclusions: The results confirm the limitations of using the BCTTv1 coding of outcome papers to describe obesity-related interventions. The results also highlight the need for mechanisms that allow for a full description of intervention content such as inclusion in a supplemental section of an online journal or the use of intervention-focused consort guidelines.

Implementation Research at NHLBI: Methodological and Design Challenges and Lessons Learned from the DECIPHeR Initiative.

NHLBI funded seven projects as part of the Disparities Elimination through Coordinated Interventions to Prevent and Control Heart and Lung Disease Risk (DECIPHeR) Initiative. They were expected to collaborate with community partners to (1) employ validated theoretical or conceptual implementation research frameworks, (2) include implementation research study designs, (3) include implementation measures as primary outcomes, and (4) inform our understanding of mediators and mechanisms of action of the implementation strategy. Several projects focused on late-stage implementation strategies that optimally and sustainably delivered two or more evidence-based multilevel interventions to reduce or eliminate cardiovascular and/or pulmonary health disparities and to improve population health in high-burden communities. Projects that were successful in the three-year planning phase transitioned to a 4-year execution phase. NHLBI formed a Technical Assistance Workgroup during the planning phase to help awardees refine study aims, strengthen research designs, detail analytic plans, and to use valid sample size methods. This paper highlights methodological and study design challenges encountered during this process. Important lessons learned included (1) the need for greater emphasis on implementation outcomes, (2) the need to clearly distinguish between intervention and implementation strategies in the protocol, (3) the need to address clustering due to randomization of groups or clusters, (4) the need to address the cross-classification that results when intervention agents work across multiple units of randomization in the same arm, (5) the need to accommodate time-varying intervention effects in stepped-wedge designs, and (6) the need for data-based estimates of the parameters required for sample size estimation.

Social Mobile Approaches to Reducing Weight (SMART) 2.0: protocol of a randomized controlled trial among young adults in university settings.

BACKGROUND: Excess weight gain in young adulthood is associated with future weight gain and increased risk of chronic disease. Although multimodal, technology-based weight-loss interventions have the potential to promote weight loss among young adults, many interventions have limited personalization, and few have been deployed and evaluated for longer than a year. We aim to assess the effects of a highly personalized, 2-year intervention that uses popular mobile and social technologies to promote weight loss among young adults. METHODS: The Social Mobile Approaches to Reducing Weight (SMART) 2.0 Study is a 24-month parallel-group randomized controlled trial that will include 642 overweight or obese participants, aged 18-35 years, from universities and community colleges in San Diego, CA. All participants receive a wearable activity tracker, connected scale, and corresponding app. Participants randomized to one intervention group receive evidence-based information about weight loss and behavior change techniques via personalized daily text messaging (i.e., SMS/MMS), posts on social media platforms, and online groups. Participants in a second intervention group receive the aforementioned elements in addition to brief, technology-mediated health coaching. Participants in the control group receive a wearable activity tracker, connected scale, and corresponding app alone. The primary outcome is objectively measured weight in kilograms over 24 months. Secondary outcomes include anthropometric measurements; physiological measures; physical activity, diet, sleep, and psychosocial measures; and engagement with intervention modalities. Outcomes are assessed at baseline and 6, 12, 18, and 24 months. Differences between the randomized groups will be analyzed using a mixed model of repeated measures and will be based on the intent-to-treat principle. DISCUSSION: We hypothesize that both SMART 2.0 intervention groups will significantly improve weight loss compared to the control group, and the group receiving health coaching will experience the greatest improvement. We further hypothesize that differences in secondary outcomes will favor the intervention groups. There is a critical need to advance understanding of the effectiveness of multimodal, technology-based weight-loss interventions that have the potential for long-term effects and widespread dissemination among young adults. Our findings should inform the implementation of low-cost and scalable interventions for weight loss and risk-reducing health behaviors. TRIAL REGISTRATION: ClinicalTrials.gov NCT03907462 . Registered on April 9, 2019.

College student motivations for and perceived impacts of volunteering with a nutrition and cooking education program for children.

To assess among college students their motivations for and perceived impacts of volunteering with Cooking Matters for Kids as part of No Kid Hungry NC. Seventeen college student volunteers responded to an online survey questionnaire assessing their motivations for volunteering and how they were impacted by their experiences. Motivational functions for volunteering (values, understanding, social, career, protective, enhancement) were assessed using the Volunteer Functions Inventory. The strongest motivational functions for volunteering were values and understanding. Students were also strongly motivated to volunteer related to the areas specifically addressed by the program (i.e., nutrition, public health, working with children). Perceived impacts of volunteering included being more comfortable working with children, improving knowledge/skills, gaining experience related to their future career, and having fun. Volunteering with Cooking Matters for Kids benefited college students. Issues addressed by the program and the desire to gain experience motivated students to volunteer.

Cooking Matters for Kids Improves Attitudes and Self-Efficacy Related to Healthy Eating and Cooking.

OBJECTIVE: To assess changes in self-efficacy and attitudes related to healthy eating and cooking in Cooking Matters for Kids participants. DESIGN: Prepost study design. SETTING: Cooking Matters for Kids programs offered by 35 organizations. PARTICIPANTS: Predominantly third- to fifth-grade children participating in Cooking Matters for Kids lessons during fiscal years 2012-17 with matched presurvey and postsurveys (n = 18,113). INTERVENTION(S): Cooking Matters for Kids consists of six 2-hour experiential nutrition and cooking education lessons. MAIN OUTCOME MEASURE(S): Self-efficacy related to healthy eating and cooking and attitudes toward healthy foods assessed through the Cooking Matters for Kids Participant Survey. ANALYSIS: Changes from the presurvey to postsurvey were assessed using mixed models and repeated measures ordered logistic regression accounting for clustering by course. Effect sizes were calculated using Cohen d for repeated measures. A Bonferroni adjustment was used to correct for multiple comparisons (α = 0.025). RESULTS: Both overall and individual self-efficacy and attitude scores improved from presurvey to postsurvey (P < 0.0001). The effect sizes were 0.35 for overall self-efficacy score and 0.17 for overall attitude score. CONCLUSIONS AND IMPLICATIONS: Participation in Cooking Matters for Kids was associated with improvements in self-efficacy and attitudes related to healthy eating and cooking.

The role of stress responses on engagement in dietary and physical activity behaviors among Latino adults living with prediabetes.

OBJECTIVES: Latinos are at a high risk of developing type 2 diabetes (T2D). Prediabetes is a major risk factor for T2D; however, progression to T2D can be slowed with engagement in healthy behaviors. Stress can hinder engagement with health behaviors. Qualitative methods were used to understand how Latinos with prediabetes attempted to modify their diet and physical activity behaviors to slow T2D progression and how stress affected their engagement in these behaviors. DESIGN: Semi-structured interviews were conducted with 20 Latinos with prediabetes in North Carolina. Participants were asked questions about types of stress they experienced and how stress affected their health. We generated codes on stress and stress responses and used content analysis to organize codes between and within participants. RESULTS: Behaviors changed after prediabetes diagnosis. Few participants reported changing their physical activity, however, all participants attempted to change their eating patterns by changing food types consumed and reducing portion sizes. The stress participants experienced impacted their ability to self-regulate their diet. They reported overeating or appetite suppression during stressful periods. Stress also affected cognitive responses by compromising healthy decision-making and instigating negative emotional reactions. Overall, stress complicated participants' ability to properly engage in recommended behaviors by negatively impacting participants' behavioral self-regulation and cognitive processes. CONCLUSIONS: Stress affects behavioral and cognitive progresses that adversely alters primarily dietary behaviors. Tailored plans acknowledging the impact of stress and providing coping and supportive help for dealing with stress may enhance engagement in healthy behaviors for Latinos with prediabetes.

All of That Causes Me Stress: An Exploration of the Sources of Stress Experienced by Latinxs Living with Prediabetes.

Latinxs immigrants in the United States experience sources of stress (i.e., stressors) that can limit their ability to engage in healthy behaviors. Stress has been linked to increased type 2 diabetes (T2D) risk in Latinxs living with prediabetes, a group disproportionately affected by T2D. The purpose of this qualitative study is to describe and contextualize the variety of stressors experienced by Latinxs immigrants diagnosed with prediabetes. Semi-structured, in-depth interviews were conducted from March to September 2018 with 20 Latinx immigrants living with prediabetes in North Carolina. We used qualitative content analysis including systematic coding and comparative matrices. The most prominent stressors were those related to health status and healthcare access, finances, interpersonal relationships with family, and loneliness. Participants also identified stressors related to documentation status and discrimination. The stressors Latinx immigrants with prediabetes experience vary, therefore studies and interventions need to specify which sources of stress they are addressing. Multilevel interventions that ameliorate the effects of stressors may facilitate preventive health behaviors among Latinxs with prediabetes.

Los inmigrantes latinxs radicados en los Estados Unidos experimentan fuentes estresantes (es decir., estresores) que pueden limitar su capacidad para participar en comportamientos saludables. El estrés es un mayor riesgo para el desarrollo de la diabetes tipo 2 (diabetes), particularmente para los latinxs que viven con prediabetes, un grupo desproporcionadamente afectados por la diabetes. El propósito de este estudio cualitativo es contextualizar la variedad de estresores que latinos diagnosticados con prediabetes experimentan. Entre marzo y septiembre del 2018 se llevaron a cabo entrevistas semiestructuradas en profundidad con 20 inmigrantes latinxs que viven con prediabetes en Carolina del Norte. Utilizamos análisis de contenido cualitativo que incluye codificación sistemática y matrices comparativas para crear temas analíticos. Los principales estresores fueron los relacionados con el estado de salud y el acceso limitado a la atención médica, las finanzas, las relaciones interpersonales con la familia y la soledad. Los participantes también expresaron dificultades para navegar en su entorno debido al estado de la documentación y la discriminación. Las intervenciones multinivel que mejoran los efectos de estresores pueden facilitar comportamientos preventivos de salud entre los latinxs con prediabetes.

Is late bedtime an overlooked sleep behaviour? Investigating associations between sleep timing, sleep duration and eating behaviours in adolescence and adulthood.

OBJECTIVE: To examine whether bedtime is associated with usual sleep duration and eating behaviour among adolescents, emerging adults and young adults. DESIGN: Cross-sectional multivariable regression models, stratified by developmental stage, to examine: (1) association between bedtime and sleep duration and (2) associations between bedtime and specific eating behaviours at each developmental period, controlling for sleep duration. All models adjusted for sociodemographic characteristics, depressive symptoms and screen time behaviours. SETTING: National Longitudinal Study of Adolescent to Adult Health, waves I-IV, USA. PARTICIPANTS: A national probability sample surveyed in adolescence (aged 12-18 years, wave I: 1994-1995, n 13 048 and wave II: 1996, n 9438), emerging adulthood (aged 18-24 years, wave III: 2001-2002, n 9424) and young adulthood (aged 24-34 years, wave IV: 2008, n 10 410). RESULTS: Later bedtime was associated with shorter sleep duration in all developmental stages, such that a 1-h delay in bedtime was associated with 14-33 fewer minutes of sleep per night (Ps < 0·001). Later bedtime was also associated with lower odds of consuming healthier foods (i.e. fruits, vegetables; range of adjusted OR (AOR), 0·82-0·93, Ps < 0·05) and higher odds of consuming less healthy foods and beverages (i.e. soda, pizza, desserts and sweets; range of AOR, 1·07-1·09, Ps < 0·05). Later bedtime was also associated with more frequent fast-food consumption and higher sugar-sweetened beverage consumption (Ps < 0·05). CONCLUSIONS: Later bedtime was associated with shorter sleep duration and less healthy eating behaviours. Bedtime may be a novel behaviour to address in interventions aiming to improve sleep duration and dietary intake.

Sleep duration and body mass: direction of the associations from adolescence to young adulthood.

Research suggests that sleep duration and obesity are related, but the direction of this association remains uncertain. We applied autoregressive cross-lag models to evaluate the directionality of the relationship between sleep duration and BMI from adolescence through emerging and young adulthood, life stages where the risk for developing obesity are particularly high. Using data from the National Longitudinal Study of Adolescent to Adult Health (Add Health), we examined sex-stratified associations between sleep duration and BMI in this cohort from adolescence (ages 12-18, year 1996), to emerging adulthood (ages 18-24, 2001-2002), to young adulthood (ages 24-32, 2008), controlling for key confounders. For both males and females, higher BMI during an earlier developmental stage was associated with shorter sleep duration in the subsequent stage (both Bs = -0.02, ps < 0.01). However, sleep duration at an earlier developmental stage was not associated with BMI at the subsequent stage. Findings suggest that researchers should be cautious when interpreting cross-sectional relationships between sleep and BMI, as higher BMI may precede shorter sleep during adolescence to young adulthood. Researchers may also wish to account for potential bi-directional associations when modeling sleep and BMI using longitudinal data.

Deconstructing Weight Management Interventions for Young Adults: Looking Inside the Black Box of the EARLY Consortium Trials.

OBJECTIVE: The goal of the present study was to deconstruct the 17 treatment arms used in the Early Adult Reduction of weight through LifestYle (EARLY) weight management trials. METHODS: Intervention materials were coded to reflect behavioral domains and behavior change techniques (BCTs) within those domains planned for each treatment arm. The analytical hierarchy process was employed to determine an emphasis profile of domains in each intervention. RESULTS: The intervention arms used BCTs from all of the 16 domains, with an average of 29.3 BCTs per intervention arm. All 12 of the interventions included BCTs from the six domains of Goals and Planning, Feedback and Monitoring, Social Support, Shaping Knowledge, Natural Consequences, and Comparison of Outcomes; 11 of the 12 interventions shared 15 BCTs in common across those six domains. CONCLUSIONS: Weight management interventions are complex. The shared set of BCTs used in the EARLY trials may represent a core intervention that could be studied to determine the required emphases of BCTs and whether additional BCTs add to or detract from efficacy. Deconstructing interventions will aid in reproducibility and understanding of active ingredients.

Nurturing Children's Healthy Eating: Position statement.

The relationship between eating a healthy diet and positive health outcomes is well known; nurturing healthy eating among children therefore has the potential to improve public health. A healthy diet occurs when one's usual eating patterns include adequate nutrient intake and sufficient, but not excessive, energy intake to meet the energy needs of the individual. However, many parents struggle to establish healthy eating patterns in their children due to the pressures of modern life. Moreover, healthcare providers often do not have the time or the guidance they need to empower parents to establish healthy eating practices in their children. Based on existing evidence from epidemiologic and intervention research, the Nurturing Children's Healthy Eating collaboration, established by Danone Institute International, has identified four key themes that encourage and support healthy eating practices among children in the modern Western world. The first - positive parental feeding - explores how parenting practices and styles, such as avoiding food restriction, allowing children to make their own food choices, and encouraging children to self-limit their portion sizes, can influence children's dietary intake. The second - eating together - highlights the link between eating socialization through regular family meals and healthful diet among children. The third - a healthy home food environment - explores the impact on eating practices of family resources, food availability/accessibility, parental modeling, and cues for eating. The fourth - the pleasure of eating - associates children's healthy eating with pleasure through repeated exposure to healthful foods, enjoyable social meals, and enhancement of the cognitive qualities (e.g. thoughts or ideas) of healthful foods. This paper reviews the evidence leading to the characterization of these nurturing themes, and ways in which recommendations might be implemented in the home.

State-Level Point-of-Sale Tobacco News Coverage and Policy Progression Over a 2-Year Period.

BACKGROUND: Mass media content may play an important role in policy change. However, the empirical relationship between media advocacy efforts and tobacco control policy success has rarely been studied. We examined the extent to which newspaper content characteristics (volume, slant, frame, source, use of evidence, and degree of localization) that have been identified as important in past descriptive studies were associated with policy progression over a 2-year period in the context of point-of-sale (POS) tobacco control. METHOD: We used regression analyses to test the relationships between newspaper content and policy progression from 2012 to 2014. The dependent variable was the level of implementation of state-level POS tobacco control policies at Time 2. Independent variables were newspaper article characteristics (volume, slant, frame, source, use of evidence, and degree of localization) and were collected via content analysis of the articles. State-level policy environment contextual variables were examined as confounders. RESULTS: Positive, significant bivariate relationships exist between characteristics of news content (e.g., high overall volume, public health source present, local quote and local angle present, and pro-tobacco control slant present) and Time 2 POS score. However, in a multivariate model controlling for other factors, significant relationships did not hold. DISCUSSION: Newspaper coverage can be a marker of POS policy progression. Whether media can influence policy implementation remains an important question. Future work should continue to tease out and confirm the unique characteristics of media content that are most associated with subsequent policy progression, in order to inform media advocacy efforts.

Accumulating Data to Optimally Predict Obesity Treatment (ADOPT) Core Measures: Behavioral Domain.

BACKGROUND: The ability to identify and measure behaviors that are related to weight loss and the prevention of weight regain is crucial to understanding the variability in response to obesity treatment and the development of tailored treatments. OBJECTIVES: The overarching goal of the Accumulating Data to Optimally Predict obesity Treatment (ADOPT) Core Measures Project is to provide obesity researchers with guidance on a set of constructs and measures that are related to weight control and that span and integrate obesity-related behavioral, biological, environmental, and psychosocial domains. This article describes how the behavioral domain subgroup identified the initial list of high-priority constructs and measures to be included, and it describes practical considerations for assessing the following four behavioral areas: eating, activity, sleep, and self-monitoring of weight. Challenges and considerations for advancing the science related to weight loss and maintenance behaviors are also discussed. SIGNIFICANCE: Assessing a set of core behavioral measures in combination with those from other ADOPT domains is critical to improve our understanding of individual variability in response to adult obesity treatment. The selection of behavioral measures is based on the current science, although there continues to be much work needed in this field.

Chronic Disease Risk Typologies among Young Adults in Community College.

OBJECTIVES: To address chronic disease risk holistically from a behavioral perspective, insights are needed to refine understanding of the covariance of key health behaviors. This study aims to identify distinct typologies of young adults based on 4 modifiable risk factors of chronic disease using a latent class analysis approach, and to describe patterns of class membership based on demographic characteristics, living arrangements, and weight. METHODS: Overall, 441 young adults aged 18-35 attending community colleges in the Minnesota Twin Cities area completed a baseline questionnaire for the Choosing Healthy Options in College Environments and Settings study, a RCT. Behavioral items were used to create indicators for latent classes, and individuals were classified using maximum-probability assignment. RESULTS: Three latent classes were identified: 'active, binge-drinkers with a healthy dietary intake' (13.1%); 'non-active, moderate-smokers and non-drinkers with poor dietary intake' (38.2%); 'moderately active, non-smokers and non-drinkers with moderately healthy dietary intake' (48.7%). Classes exhibited unique demographic and weight-related profiles. CONCLUSIONS: This study may contribute to the literature on health behaviors among young adults and provides evidence that there are weight and age differences among subgroups. Understanding how behaviors cluster is important for identifying groups for targeted interventions in community colleges.

Multilevel Interventions Targeting Obesity: Research Recommendations for Vulnerable Populations.

INTRODUCTION: The origins of obesity are complex and multifaceted. To be successful, an intervention aiming to prevent or treat obesity may need to address multiple layers of biological, social, and environmental influences. METHODS: NIH recognizes the importance of identifying effective strategies to combat obesity, particularly in high-risk and disadvantaged populations with heightened susceptibility to obesity and subsequent metabolic sequelae. To move this work forward, the National Heart, Lung, and Blood Institute, in collaboration with the NIH Office of Behavioral and Social Science Research and NIH Office of Disease Prevention convened a working group to inform research on multilevel obesity interventions in vulnerable populations. The working group reviewed relevant aspects of intervention planning, recruitment, retention, implementation, evaluation, and analysis, and then made recommendations. RESULTS: Recruitment and retention techniques used in multilevel research must be culturally appropriate and suited to both individuals and organizations. Adequate time and resources for preliminary work are essential. Collaborative projects can benefit from complementary areas of expertise and shared investigations rigorously pretesting specific aspects of approaches. Study designs need to accommodate the social and environmental levels under study, and include appropriate attention given to statistical power. Projects should monitor implementation in the multiple venues and include a priori estimation of the magnitude of change expected within and across levels. CONCLUSIONS: The complexity and challenges of delivering interventions at several levels of the social-ecologic model require careful planning and implementation, but hold promise for successful reduction of obesity in vulnerable populations.

Measures of the food environment: A systematic review of the field, 2007-2015.

BACKGROUND: Many studies have examined the relationship between the food environment and health-related outcomes, but fewer consider the integrity of measures used to assess the food environment. The present review builds on and makes comparisons with a previous review examining food environment measures and expands the previous review to include a more in depth examination of reliability and validity of measures and study designs employed. METHODS: We conducted a systematic review of studies measuring the food environment published between 2007 and 2015. We identified these articles through: PubMed, Embase, Web of Science, PsycINFO, and Global Health databases; tables of contents of relevant journals; and the National Cancer Institute's Measures of the Food Environment website. This search yielded 11,928 citations. We retained and abstracted data from 432 studies. RESULTS: The most common methodology used to study the food environment was geographic analysis (65% of articles) and the domination of this methodology has persisted since the last review. Only 25.9% of studies in this review reported the reliability of measures and 28.2% reported validity, but this was an improvement as compared to the earlier review. Very few of the studies reported construct validity. Studies reporting measures of the school or worksite environment have decreased since the previous review. Only 13.9% of the studies used a longitudinal design. CONCLUSIONS: To strengthen research examining the relationship between the food environment and population health, there is a need for robust and psychometrically-sound measures and more sophisticated study designs.

Setting the agenda for a healthy retail environment: content analysis of US newspaper coverage of tobacco control policies affecting the point of sale, 2007-2014.

BACKGROUND: Tobacco control policies affecting the point of sale (POS) are an emerging intervention, yet POS-related news media content has not been studied. PURPOSE: We describe news coverage of POS tobacco control efforts and assess relationships between article characteristics, including policy domains, frames, sources, localisation and evidence present, and slant towards tobacco control efforts. METHODS: High circulation state (n=268) and national (n=5) newspapers comprised the sampling frame. We retrieved 917 relevant POS-focused articles in newspapers from 1 January 2007 to 31 December 2014. 5 raters screened and coded articles, 10% of articles were double coded, and mean inter-rater reliability (IRR) was 0.74. RESULTS: POS coverage emphasised tobacco retailer licensing (49.1% of articles) and the most common frame present was regulation (71.3%). Government officials (52.3%), followed by tobacco retailers (39.6%), were the most frequent sources. Half of articles (51.3%) had a mixed, neutral or antitobacco control slant. Articles presenting a health frame, a greater number of protobacco control sources, and statistical evidence were significantly more likely to also have a protobacco control slant. Articles presenting a political/rights or regulation frame, a greater number of antitobacco control sources, or government, tobacco industry, tobacco retailers, or tobacco users as sources were significantly less likely to also have a protobacco control slant. CONCLUSIONS: Stories that feature procontrol sources, research evidence and a health frame also tend to support tobacco control objectives. Future research should investigate how to use data, stories and localisation to encourage a protobacco control slant, and should test relationships between content characteristics and policy progression.

Multilevel analysis exploring the links between stress, depression, and sleep problems among two-year college students.

OBJECTIVE: This study explored the association of stress and depression with a multidimensional sleep problems construct in a sample of 2-year college students. PARTICIPANTS: The sample consisted of 440 students enrolled in 2-year study from Fall 2011 to Fall 2013. METHODS: Participants in an obesity prevention study completed surveys assessing sleep, stress, and depression at baseline, 4, 12, and 24 months. Multilevel models predicting sleep problems were conducted to distinguish episodic from chronic reports of stress and depression. RESULTS: Participants were primarily women (68%), white (73%), young adults (M age = 22.8), with an average of 8.4 hours of sleep per night. Neither stress nor depression was predictive of sleep quantity; however, they were predictive of sleep quality. CONCLUSIONS: Results show that sleep quality rather than sleep quantity may be the greater health concern for young adults, suggesting that intervention programs targeting depression, stress management, and healthy sleep patterns are warranted.

Weight-Gain Reduction Among 2-Year College Students: The CHOICES RCT.

INTRODUCTION: The young adult years have been recognized as an influential period for excess weight gain. Non-traditional students and those attending 2-year community colleges are at particularly high risk for a range of adverse weight-related outcomes. DESIGN: Choosing Healthy Options in College Environments and Settings was an RCT with students randomly assigned into a control or intervention condition after baseline assessment. The study was designed to evaluate if a 24-month weight-gain prevention intervention reduces the expected increase in BMI and overweight prevalence in young adults attending 2-year colleges. Two cohorts were recruited, corresponding to the fall and spring semesters. Data collection occurred at four time points for each cohort, with baseline occurring in fall 2011 for Cohort 1 and spring 2012 for Cohort 2. The 24-month follow-up occurred in fall 2013 for Cohort 1 and spring 2014 for Cohort 2. Data analysis occurred in 2015-2016. SETTING/PARTICIPANTS: This research was conducted with 441 students from three community colleges in Minnesota. INTERVENTION: The 24-month intervention began with a 1-credit college course on healthy weight behaviors. A social networking and social support website was introduced as part of the course and participation encouraged for the duration of the trial. MAIN OUTCOME MEASURES: Changes in BMI, weight, body fat percentage, waist circumference, and weight status were assessed. RESULTS: Retention of the cohorts at 24 months was 83.4%. There was not a statistically significant difference in BMI between conditions at the end of the trial. However, there was a statically significant difference in the prevalence of overweight/obesity between treatment conditions at 24 months. Also, participants randomized to the intervention who were overweight or obese at baseline were more than three times as likely to transition to a healthy weight by the end of the trial as compared with control students. CONCLUSIONS: The intervention was not successful in achieving BMI differences between treatment groups. However, an 8% reduction in the prevalence of overweight and obesity over time may have population-level significance. TRIAL REGISTRATION: This study is registered at www.clinicaltrials.gov NCT01134783.