BestFIT Sequential Multiple Assignment Randomized Trial Results: A SMART Approach to Developing Individualized Weight Loss Treatment Sequences.

BACKGROUND: State-of-the-art behavioral weight loss treatment (SBT) can lead to clinically meaningful weight loss, but only 30-60% achieve this goal. Developing adaptive interventions that change based on individual progress could increase the number of people who benefit. PURPOSE: Conduct a Sequential Multiple Assignment Randomized Trial (SMART) to determine the optimal time to identify SBT suboptimal responders and whether it is better to switch to portion-controlled meals (PCM) or acceptance-based treatment (ABT). METHOD: The BestFIT trial enrolled 468 adults with obesity who started SBT and were randomized to treatment response assessment at Session 3 (Early TRA) or 7 (Late TRA). Suboptimal responders were re-randomized to PCM or ABT. Responders continued SBT. Primary outcomes were weight change at 6 and 18 months. RESULTS: PCM participants lost more weight at 6 months (-18.4 lbs, 95% CI -20.5, -16.2) than ABT participants (-15.7 lbs, 95% CI: -18.0, -13.4), but this difference was not statistically significant (-2.7 lbs, 95% CI: -5.8, 0.5, p = .09). PCM and ABT participant 18 month weight loss did not differ. Early and Late TRA participants had similar weight losses (p = .96), however, Early TRA PCM participants lost more weight than Late TRA PCM participants (p = .03). CONCLUSIONS: Results suggest adaptive intervention sequences that warrant further research (e.g., identify suboptimal responders at Session 3, use PCMs as second-stage treatment). Utilizing the SMART methodology to develop an adaptive weight loss intervention that would outperform gold standard SBT in a randomized controlled trial is an important next step, but may require additional optimization work. CLINICAL TRIAL INFORMATION: ClinicalTrials.gov identifier; NCT02368002.

Partnering with Churches to Conduct a Wide-Scale Health Screening of an Urban, Segregated Community.

West Side Alive (WSA) is a partnership among pastors, church members and health researchers with the goal of improving health in the churches and surrounding community in the West Side of Chicago, a highly segregated African American area of Chicago with high rates of premature mortality and social disadvantage. To inform health intervention development, WSA conducted a series of health screenings that took place in seven partner churches. Key measures included social determinants of health and healthcare access, depression and PTSD screeners, and measurement of cardiometabolic risk factors, including blood pressure, weight, cholesterol and hemoglobin A1C (A1C). A total of 1106 adults were screened, consisting of WSA church members (n = 687), members of the local community served by the church (n = 339) and 80 individuals with unknown church status. Mean age was 52.8 years, 57% were female, and 67% reported at least one social risk factor (e.g. food insecurity). Almost all participants had at least one cardiovascular risk factor (92%), including 50% with obesity, 79% with elevated blood pressure and 65% with elevated A1C. A third of participants experienced ≥ 4 potentially traumatic events and 26% screened positive for depression and/or post-traumatic stress disorder. Participants were given personalized health reports and referred to services as needed. Information from the screenings will be used to inform the design of interventions targeting the West Side community and delivered in partnership with the churches. Sharing these results helped mobilize community members to improve their own health and the health of their community.

Trauma exposure, PTSD symptoms, and tobacco use: Does church attendance buffer negative effects?

Traumatic stress and posttraumatic stress disorder (PTSD) are overrepresented in urban African American communities, and associated with health risk behaviors such as tobacco use. Support and resources provided by churches may reduce trauma-related health risks. In the current study, we assessed weekly church attendance as a moderator of relations between (a) traumatic event exposure and probable PTSD, and (b) probable PTSD and tobacco use. Data were drawn from a health surveillance study conducted in seven churches located in Chicago's West Side. Participants (N = 1015) were adults from churches as well as the surrounding community. Trauma exposure was reported by 62% of participants, with 25% of those who experienced trauma reporting probable PTSD. Overall, more than one-third of participants (37.2%) reported current tobacco use. As compared with non-weekly church attendance, weekly church attendance was associated with a lower likelihood of PTSD (odds ratio [OR] = 0.41; 95% confidence interval [CI] = 0.26-0.62; p < .0001) and lower tobacco use overall (OR = 0.22; 95% CI = 0.16-0.30; p < .0001), but did not moderate the effect of trauma exposure on risk of PTSD, or the effect of PTSD on tobacco use. Findings support church attendance as a potential buffer of trauma-related stress.

Nutrition quality of food purchases varies by household income: the SHoPPER study.

BACKGROUND: Lower household income has been consistently associated with poorer diet quality. Household food purchases may be an important intervention target to improve diet quality among low income populations. Associations between household income and the diet quality of household food purchases were examined. METHODS: Food purchase receipt data were collected for 14 days from 202 urban households participating in a study about food shopping. Purchase data were analyzed using NDS-R software and scored using the Healthy Eating Index 2010 (HEI 2010). HEI total and subscores, and proportion of grocery dollars spent on food categories (e.g. fruits, vegetables, sugar sweetened beverages) were examined by household income-to-poverty ratio. RESULTS: Compared to lower income households, after adjusting for education, marital status and race, higher income households had significantly higher HEI total scores (mean [sd] = 68.2 [13.3] versus 51.6 [13.9], respectively, adjusted p = 0.05), higher total vegetable scores (mean [sd] = 3.6 [1.4] versus 2.3 [1.6], respectively, adjusted p < .01), higher dairy scores (mean [sd] = 5.6 [3.0] versus 5.0 [3.3], p = .05) and lower proportion of grocery dollars spent on frozen desserts (1% [.02] versus 3% [.07], respectively, p = .02). CONCLUSIONS: Lower income households purchase less healthful foods compared with higher income households. Food purchasing patterns may mediate income differences in dietary intake quality. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT02073643.

Randomized trial comparing group size of periodic in-person sessions in a remotely delivered weight loss intervention.

BACKGROUND: Few randomized studies have examined differential effects of group size in behavioral weight control, especially in hybrid programs that include Internet treatment approaches. METHODS: Randomized controlled trial (n = 195) comparing a 4 month hybrid internet weight loss program coupled with monthly face to face groups of 100 persons (Large Group, LG; 1 group) or to the same approach with monthly groups of 20 persons (Small Group, SG; 4 groups). Repeated-measures mixed-model analysis with age and race as covariates were used to estimate primary (weight) and secondary outcomes, and to test group differences in change over time. RESULTS: The sample was 46.3 years old ±10.4, 90.3% female, and 51.9% non-white, with BMI 37.9 ± 8.4 kg/m2. Participants in the LG were more likely to return for the 4-month assessment visit than those in the SG (p = 0.04). Participants randomized to both the LG and SG conditions experienced significant WL over time (no between group difference: -4.1 kg and -3.7 kg, respectively) and weight loss was positively associated with attendance at monthly meetings and logins to the website. Satisfaction with the program was high and similar in both groups (94.4% reported that they were "satisfied" or "very satisfied"). CONCLUSIONS: Using a hybrid approach of in-person and online weight loss interventions may be an effective way to reach larger and more diverse populations. Delivering the face to face component of the intervention in groups larger than those traditionally delivered (20-25 people) could increase the cost-effectiveness of group-based behavioral weight loss interventions. CLINICAL TRIALS REGISTRATION NUMBER: NCT01615471 . Registered June 6, 2012. Registered retrospectively.

Theoretical and Behavioral Mediators of a Weight Loss Intervention for Men.

OBJECTIVE: Men are currently underrepresented in weight loss trials despite similar obesity rates, which limit our understanding about the most effective elements of treatment for men. The purpose of this study was to test the theoretical (autonomous motivation, self-efficacy, outcome expectancies, and self-regulation) and behavioral (calorie intake, physical activity, self-weighing) mediators of a men-only, Internet-delivered weight loss intervention focused on innovative and tailored treatment elements specifically for men. METHOD: Data comes from a 6-month randomized trial (N = 107) testing the intervention compared to a waitlist control group. Changes in the theoretical mediators between baseline and 3 months were tested as mediators of the intervention effect on weight change at 6 months in both single and multiple mediator models. Changes in behaviors between baseline and 6 months were tested in the same manner. RESULTS: The intervention produced greater weight losses compared to the control group (-5.57 kg ± 6.6 vs. -0.65 kg ± 3.3, p < 0.001) and significant changes (p's < 0.05) in most of the theoretical and behavior mediators. In multiple mediator models, changes in diet-related autonomous motivation, self-efficacy, and self-regulation all significantly mediated the relationship between the intervention and weight loss. The intervention effect was also mediated by changes in dietary intake and self-weighing frequency. CONCLUSIONS: By testing the theoretical mediators of this intervention in a multiple mediator context, this study contributes to current knowledge related to the development of weight loss interventions for men and suggests that interventions should target diet-focused constructs.

A randomized comparison of recruitment messages for a weight loss clinical trial targeting men working in trade and labor occupations.

Background: Engaging diverse populations in clinical trials is vital to research. This study evaluated the effects of varying recruitment messages for a clinical trial. Methods: The messages were evaluated in a randomly assigned, factorial design that tested enhanced trust (vs. standard) and participant endorsement (vs. standard) messaging.Four postcards were developed and randomly assigned to 4000 potential participants' addresses. Except for the messages of interest, the cards were identical, and participants were directed to four identical study websites and screening forms. Outcomes include unique website visits, visit conversion rate, screening forms completed, and participants randomized into the parent study. Results: Study websites received 74 visits (range by message type 9 to 34). There was no significant difference by message type (p = 0.79). Online screening forms were completed by 15 participants (range by message type 0-6), representing a conversion rate of 20.3% of website visits. Seven participants were randomized into the study in response to the postcards (range by message type 0 to 3; 46.7% of screenings). Overall, 0.2% of individuals who received a postcard were randomized into the study. Conclusion: Despite developing recruitment messages with participant input, the enhanced messages did not yield a greater response than standard messages. However, this method of evaluating recruitment messages shows promise.

Acceptability of a Self-Guided Lifestyle Intervention Among Young Men: Mixed Methods Analysis of Pilot Findings.

BACKGROUND: Young men are vastly underrepresented in lifestyle interventions, suggesting a need to develop appealing yet effective interventions for this population. OBJECTIVE: This study aimed to determine the acceptability of a self-guided lifestyle intervention designed specifically for young men (age: 18-35 years old). METHODS: Semistructured interviews and surveys were completed by 14 men following completion of a remotely delivered, 12-week lifestyle intervention. The intervention included 1 virtual group session, digital tools, access to self-paced web- and mobile-based content, and 12 weekly health risk text messages. We quantitatively and qualitatively examined young men's experiences with the intervention components of a remotely delivered, self-guided lifestyle intervention targeting weight loss. Data were integrated using convergent mixed methods analysis. RESULTS: Men were a mean age of 29.9 (SD 4.9) years with a mean BMI of 31.0 (SD 4.5) kg/m2. The self-guided aspect was not acceptable, and a majority preferred more check-ins. Participants expressed a desire for a social aspect in future lifestyle interventions. All men found the focus on health risks appealing. A majority of men found the study-issued, Bluetooth-enabled scale acceptable. CONCLUSIONS: Acceptability of the self-guided lifestyle intervention was perceived as suboptimal by young men. The findings highlight the need to add intervention components that sustain motivation and provide additional social support for young men. TRIAL REGISTRATION: ClinicalTrials.gov NCT04267263; https://www.clinicaltrials.gov/study/NCT04267263.

Quantifying weight loss program preferences of men working in trade and labor occupations: A discrete choice experiment.

Objective: Men who work in skilled and unskilled trades and labor occupations (i.e., blue-collar occupations), have high rates of obesity and associated comorbidities but are underrepresented in weight loss programs. A first step in engaging this group is to better understand their preferences for weight loss programs. Methods: Respondents were men working in trade and labor occupations, with overweight/obesity, and an interest in losing weight. A discrete choice experiment was developed, and the data were analyzed using mixed logit model. Respondent characteristics were tested as effect modifiers. Results: Respondents (N = 221, age (M ± SD) 45.0 ± 12.6, BMI 33.3 ± 6.3, 77% non-Hispanic white) working in a variety of occupations (construction 31%, manufacturing 30%, transportation 25%, maintenance/repair 14%) participated in this study. Results indicate preferences for programs that encourage making smaller dietary changes, are delivered online, and do not incorporate competition. Results were consistent across sensitivity analyses and most respondent groups. Conclusions: The results suggest specific ways to make weight loss programs more appealing to men in trade and labor occupations. Using experimental methods to quantify preferences using larger, more representative samples would further assist in tailoring behavioral weight loss programs for under-reached populations.

Comparison of weight captured via electronic health record and cellular scales to the gold-standard clinical method.

Introduction: Obtaining body weights remotely could improve feasibility of pragmatic trials. This investigation examined whether weights collected via cellular scale or electronic health record (EHR) correspond to gold standard in-person study weights. Methods: The agreement of paired weight measurements from cellular scales were compared to study scales from a weight loss intervention and EHR-collected weights were compared to study scales from a weight loss maintenance intervention. Differential weight change estimates between intervention and control groups using both pragmatic methods were compared to study collected weight. In the Log2Lose feasibility weight loss trial, in-person weights were collected bi-weekly and compared to weights collected via cellular scales throughout the study period. In the MAINTAIN weight loss maintenance trial, in-person weights were collected at baseline, 14, 26, 42 and 56 weeks. All available weights from the EHR during the study period were obtained. Results: On average, in Log2Lose cellular scale weights were 0.6 kg (95% CI: -2.9, 2.2) lower than in-person weights; in MAINTAIN, EHR weights were 2.8 kg (SE: -0.5, 6.0) higher than in-person weights. Estimated weight change using pragmatic methods and study scales in both studies were in the same direction and of similar magnitude. Conclusion: Both methods can be used as cost-effective and real-world surrogates within a tolerable variability for the gold-standard. Trial registration: NCT02691260; NCT01357551.

"You Just Have to Keep It Movin':" Perceptions of Physical Function Limitations in an African American Health Ministry.

Physical function (PF) limitations are common in aging. However, there is a dearth of interventions focused on addressing PF limitations in community-based settings, particularly in minoritized communities. To guide intervention development, we conducted focus groups to understand perceptions of PF limitations, gauge intervention interest, and identify potential intervention strategies as part of a large health partnership of African American churches in Chicago, IL. Participants were age 40+ years with self-reported PF limitations. Focus groups (N=6 focus groups; N=40 participants) were audio recorded, transcribed, and analyzed using thematic analysis methods.Six themes were identified: (1) causes of PF limitations, (2) impact of PF limitations, (3) terminology and communication, (4) adaptations and treatments, (5) faith and resilience, and (6) prior program experiences. Participants described how PF limitations affected their ability to live a full life and play an active role in their family, church, and community. Faith and prayer aided in coping with limitations and pain. Participants expressed that it is important to keep moving, both from an emotional (not giving up) and physical (to prevent further exacerbation of limitations) standpoint. Some participants shared adaptation and modification strategies, but there were overall frustrations with communicating regarding PF limitations and obtaining medical care for them. Participants expressed that they would like to have programs in their church focused on improving PF (including physical activity), particularly as their communities often lacked resources conducive to being active. Community-based programs focusing on reducing PF limitations are needed, and the church is a potentially receptive setting.

Gamification and neurotraining to engage men in behavioral weight loss: Protocol for a factorial randomized controlled trial.

Over 70% of men are overweight, and most desire weight loss; however, men are profoundly underrepresented in weight loss programs. Gamification represents a novel approach to engaging men and may enhance efficacy through two means: (1) game-based elements (e.g., streaks, badges, team-based competition) to motivate weight control behaviors and (2) arcade-style "neurotraining" to enhance neurocognitive capacities to resist the temptation of unhealthy foods and more automatically select healthy foods. This study will use a 2 × 2 factorial design to examine the independent and combinatory efficacy of gamification and inhibitory control training (ICT). Men with overweight/obesity (N = 228) will receive a 12-month mobile weight loss program that incorporates behavioral weight loss strategies (e.g., self-monitoring, goal setting, stimulus control). Men will be randomly assigned to a non-gamified or gamified version, and an active or sham ICT. A game design company will create the program, with input from a male advisory panel. Aims of the project are to test whether a gamified (versus non-gamified) weight loss program and/or ICT (versus sham) promotes greater improvements in weight, diet, and physical activity; whether these treatment factors have combinatory or synergistic effects; to test whether postulated mechanisms of action (increased engagement, for gamification, and inhibitory control, for ICT) mediate treatment effects; and whether baseline gameplay frequency and implicit preferences for ICT-targeted foods moderate effects. It is hoped this study will contribute to improved mHealth programs for men and enhance our understanding of the impact of gamified elements and neurocognitive training on weight control.

A Self-Guided Lifestyle Intervention for Young Men: Findings from the ACTIVATE Randomized Pilot Trial.

Background: Young men are at high risk for developing obesity-related health complications, yet are markedly underrepresented in lifestyle interventions. This pilot study examined the feasibility and preliminary efficacy of a lifestyle intervention (self-guided + health risk messaging) targeting young men. Methods: 35 young men (Age = 29.3 ± 4.27; BMI = 30.8 ± 4.26; 34% racial/ethnic minority) were randomly assigned to the intervention or delayed treatment control. The intervention (ACTIVATE) included 1 virtual group session, digital tools (wireless scale, self-monitoring app), access to self-paced content via a secure website, and 12 weekly texts to reinforce health risk messaging. Fasted objective weight was assessed remotely at baseline and 12-weeks. Perceived risk was assessed via survey at baseline, 2-week, and 12-week. T-tests were used to compare weight outcomes between arms. Linear regressions examined the association between percent weight change and perceived risk change. Results: Recruitment was successful as evidenced by 109% of target enrollment achieved in a 2-month period. Retention was 86% at 12 weeks, with no differences by arm (p = 0.17). Participants in the intervention arm experienced modest weight loss at 12 weeks, whereas slight gains were observed in the control arm (-1.6% ± 2.5 vs. +0.31% ± 2.8, p = 0.04). Change in perceived risk was not associated with change in percent weight (p > 0.05). Conclusions: A self-guided lifestyle intervention showed initial promise for weight management among young men, but these findings are limited by small sample size. More research is needed to bolster weight loss outcomes while retaining the scalable self-guided approach. Clinical Trial Registration: NCT04267263 (https://www.clinicaltrials.gov/ct2/show/NCT04267263).

Weight Loss Program Preferences of Men Working in Blue-Collar Occupations: A Qualitative Inquiry.

Men who work in blue-collar occupations (skilled and unskilled trades) experience high rates of obesity and comorbid conditions. This group is underrepresented in behavioral interventions for weight management, which may stem from a mismatch between the features of available programs and these men's preferences. This qualitative study explored the views of these men, their experiences with weight loss, their preferences for weight loss programs, and messaging related to these programs. We conducted remote interviews with 20 men (age: 43 ± 13 years, M ± SD) currently working in blue-collar occupations (50% construction, 25% transportation, and 25% manufacturing) who had body mass indices (BMIs) in the overweight/obese categories (BMI: 33 ± 6 kg/m2). Deductive codes and summary themes were developed and discussed by the first two authors. A selection of transcripts was reviewed following theme development to confirm accuracy of the themes. Most participants (n = 16, 80%) reported a prior weight loss attempt. The most common approaches to weight loss reported were increased exercise and following their own approach to changing diet (e.g., "eating less junk food"). For program and message preferences, two major themes emerged: participants wanted accurate and trustworthy information and wanted programs that fit their lifestyle. Results suggest that weight loss programs targeting men working in blue-collar occupations should emphasize the accuracy of information related to the program and the ease of incorporating it into participants' lifestyles. There is an urgent need to incorporate these preferences into effective programs.

Behavioural interventions for CVD risk reduction for blue-collar workers: a systematic review.

OBJECTIVES: Individuals working in blue-collar occupations experience high rates of cardiovascular disease (CVD). The purpose of this systematic review is to describe the characteristics and efficacy of behavioural interventions that have targeted CVD risk factors in this high-risk group. METHODS: Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, we searched seven databases to find interventions focused on changing the following: blood pressure, cholesterol, diet, physical activity, smoking or weight. Eligible studies tested a behavioural intervention (not exclusively policy, environmental, or pharmaceutical), in individuals working in blue-collar occupations using a randomised study design. Study quality was evaluated using the National Heart, Lung, and Blood Institute's study quality assessment tool. RESULTS: 22 studies evaluating 31 interventions were included: 11 were rated as 'good' or 'fair' quality. Intervention intensity ranged from a single contact via a mailed letter to studies that included individual-level contacts at multiple time points between staff and participants. Studies that included at least some individual contact generally yielded the greatest effects. Interventions had the greatest observed effects on self-report changes in diet, regardless of intervention intensity. Four of the five higher quality studies that explicitly tailored the intervention to the occupational group were successful at reducing at least one risk factor. CONCLUSIONS: Interventions that used individual contact and tailored the intervention to the occupational setting yielded the greatest effects on CVD risk-factor reduction in individuals working in blue-collar occupations. Generally, studies were low quality but showed promising effects for reaching this high-risk population. Future work should incorporate these promising findings in higher quality studies. PROSPERO REGISTRATION NUMBER: CRD42019136183.

Physical Function in Midlife and Older Adults From an African American Church-Based Health Screening.

INTRODUCTION: Limitations in physical function are predictive of adverse health outcomes, and screening has been recommended in clinical settings for older adults. Rarely assessed in community-based settings, physical function could provide insight for tailoring health-related community-based programs and raise awareness about this important aspect of health. This cross-sectional study seeks to demonstrate the feasibility of integrating physical function assessments into health screenings in African American churches in Chicago, Illinois, through a large health partnership and to determine the prevalence and correlates of physical function limitations among midlife (aged 40-59 years) and late-life (aged ≥60 years) participants. METHODS: Screenings were held in 7 churches in Spring 2018. Physical function was assessed using the Short Physical Performance Battery. Demographics, medical history, health status, and health behaviors were assessed. Age-stratified logistic regression identified independent associations with physical function limitations (Score ≤9) among midlife and late-life participants (data were analyzed in 2018-2019). RESULTS: Among 731 participants (median age=57 [IQR=51-65] years, 58% women, 97% African American), 25% of midlife and 56% of late-life participants had physical function limitations. For midlife participants, fair/poor health (OR=1.83, 95% CI=1.10, 3.05), stroke/neurologic conditions (OR=2.42, 95% CI=1.07, 5.46), and arthritis (OR=2.25, 95% CI=1.32, 3.81) were associated with higher odds of limitations. Fair/poor health (OR=1.97, 95% CI=1.11, 3.50) and stroke/neurologic conditions (OR=7.85, 95% CI=2.22, 27.74) were related to limitations among late-life participants. CONCLUSIONS: Physical function screening was successfully implemented into this large-scale church-based health screening program. Physical function limitations were prevalent, particularly at midlife; this information will be used to guide future programs.

Discrepancies Between Clinician and Participant Intervention Adherence Ratings Predict Percent Weight Change During a Six-Month Behavioral Weight Loss Intervention.

BACKGROUND: Individuals receiving behavioral weight loss treatment frequently fail to adhere to prescribed dietary and self-monitoring instructions, resulting in weight loss clinicians often needing to assess and intervene in these important weight control behaviors. A significant obstacle to improving adherence is that clinicians and clients sometimes disagree on the degree to which clients are actually adherent. However, prior research has not examined how clinicians and clients differ in their perceptions of client adherence to weight control behaviors, nor the implications for treatment outcomes. PURPOSE: In the context of a 6-month weight-loss treatment, we examined differences between participants and clinicians when rating adherence to weight control behaviors (dietary self-monitoring; limiting calorie intake) and evaluated the hypothesis that rating one's own adherence more highly than one's clinician would predict less weight loss during treatment. METHODS: Using clinician and participant-reported measures of self-monitoring and calorie intake adherence, each assessed using a single item with a 7- or 8-point scale, we characterized discrepancies between participant and clinician adherence and examined associations with percent weight change over 6 months using linear mixed-effects models. RESULTS: Results indicated that ratings of adherence were higher when reported by participants and supported the hypothesis that participants who provided higher adherence ratings relative to their clinicians lost less weight during treatment (p < 0.001). CONCLUSIONS: These findings suggest that participants in weight loss treatment frequently appraise their own adherence more highly than their clinicians and that participants who do so to a greater degree tend to lose less weight.

Improving weight loss outcomes of community interventions by incorporating behavioral strategies.

OBJECTIVES: We examined whether adding behavioral weight loss strategies could improve the outcomes of a community weight loss campaign. METHODS: Shape Up RI is a 12-week, online, team-based program for health improvement in Rhode Island. In study 1, we randomly assigned participants to the standard Shape Up RI program or to the program plus video lessons on weight loss. In study 2, we randomly assigned participants to the standard program or to the program plus video lessons; daily self-monitoring of weight, eating, and exercise; and computer-generated feedback. RESULTS: Adding video lessons alone (study 1) did not result in significantly improved weight loss (2.0 ±2.8 kg vs 1.4 ±2.9 kg; P = .15). However, when the video lessons were supplemented with self-monitoring and feedback (study 2), the average weight loss more than doubled (3.5 ±3.8 kg vs 1.4 ±2.7 kg; P < .01), and the proportion of individuals achieving a weight loss of 5% or more tripled (40.5% vs 13.2%; P < .01). Participants in study 2 submitted self-monitoring records on 78% of days, and adherence was significantly related to outcome. CONCLUSIONS: Adding behavioral strategies to community campaigns may improve weight loss outcomes with minimal additional cost.

Effect of teammates on changes in physical activity in a statewide campaign.

OBJECTIVE: Most Americans do not meet physical activity recommendations. Statewide campaigns can effectively increase activity levels. Reported herein are physical activity outcomes from Shape Up Rhode Island (SURI) 2007, a statewide campaign to increase steps through team-based competition. Given the importance of social networks in behavior change, this paper focused on the effects of team and team characteristics on activity outcomes. METHOD: For 16weeks, 5333 adults comprising 652 teams wore pedometers and reported their steps online. RESULTS: Participants' daily steps increased from 7029(3915) at baseline to 9393(5976) at SURI end (p<0.001). There was a significant intraclass correlation for step change among team members (ICC=0.09); thus, an individual's change in steps was influenced by what team they were on. Moreover, baseline team characteristics predicted individual step change; being on a more active team was associated with greater increases in activity for individual members (p<0.001), whereas being on a team with a broad range of steps was associated with smaller changes in activity for individual members (p=0.02). CONCLUSION: These findings are the first to suggest that team members influence individual activity outcomes in team-based statewide campaigns. Future research should explore ways to use social network factors to enhance team-based physical activity programs.

Constrained choices: Combined influences of work, social circumstances, and social location on time-dependent health behaviors.

BACKGROUND: Physical activity and sleep are two time-dependent behaviors with important health implications. The amount of time people have to engage in these behaviors may vary based on their everyday work, social circumstances (e.g., parenthood), and social location (e.g., gender). AIMS: The current study aimed to explore the ways work, social circumstances, and social locations combine that lead to heterogeneity in the time-dependent health behaviors of physical activity and time spent in bed (i.e., sleep) among a young adult population. We drew upon two conceptual frameworks-Constrained Choices and an intersectionality perspective-and examined multiple work characteristics (e.g., number of jobs), social circumstances (e.g., household income), and social locations (e.g., U.S. nativity) relevant to young adulthood. METHODS: 2015-2016 data from a Minneapolis-St. Paul, U.S. cohort of 1830 young adults (25-36 years) were analyzed using conditional inference tree (CIT)-a data-driven approach which identifies population sub-groups that differ in their outcome values as well as in the interacting factors that predict outcome differences. Sensitivity analyses to evaluate CIT robustness were also performed. RESULTS: CITs revealed four relevant sub-groups for physical activity (sub-group averages ranged = 2.9-4.9 h per week), with working mothers achieving the least activity, and six relevant sub-groups for time in bed (range = 7.8-8.7 h per day), with full-time working men obtaining the least. In both models, parent status and employment status/hours were found to consistently differentiate behavior among women but not men. CONCLUSION: According to these data, time to engage in physical activity and time in bed was constrained by particular everyday contexts (work and parent status) and the extent to which these contexts mattered also depended on gender. If replicated in other studies, results suggest equitable strategies are necessary to assist all parents and workers in engaging in these time-dependent health behaviors for long-term health.