A focus group study among insufficiently physically active African American adults regarding technology-delivered team-based gamification for physical activity promotion.

Background: Gamification represents a promising approach for facilitating positive social interactions among groups of individuals and is increasingly being leveraged in physical activity (PA) interventions to promote enhanced intervention engagement and PA outcomes. Although African American (AA) adults experience disparities associated with health conditions that can be ameliorated with increased PA, little is known about how best to culturally target PA gamification strategies for this population. The purpose of this study was to gather perspectives from AA adults residing in the Southeast United States and subsequently identify themes to help inform the cultural adaptation of an existing electronic and mobile health (e/mHealth) gamification- and theory-based PA intervention for teams of insufficiently active AA adults. Methods: An AA moderator facilitated six online focus groups among AA adults (n=42; 93% female; 45.09±9.77 years; 34.40±57.38 minutes/week of reported moderate-intensity equivalent PA), using a semi-structured focus group guide. Drawing from a content analysis approach, transcripts were coded and salient themes were identified. Results: The focus groups revealed the following seven themes: (I) motivation (team-based gamification motivating); (II) accountability (team-based gamification promotes accountability); (III) competition (competitive elements attractive); (IV) weekly challenges (prefer to choose weekly PA challenges); (V) leaderboard feedback (preference for viewing steps and active minutes via a leaderboard); (VI) cultural relevancy (prefer elements reflective of their race and culture that promote team unity); (VII) teammate characteristics (mixed preferences regarding ideal sociodemographic characteristics and starting PA level of teammates). Conclusions: Integrating team-based gamification in an e/mHealth-based PA intervention may be acceptable among AA adults. The identification of specific design preferences and perceptions of the value of the social environment points to the need to consider surface-level and deep structure cultural targeting when developing and further exploring best practices regarding gamified PA interventions for insufficiently active AAs.

Leveraging Digital Technology to Support Pregnant and Early Parenting Women in Recovery from Addictive Substances: A Scoping Review.

Little is known about digital health interventions used to support treatment for pregnant and early parenting women (PEPW) with substance use disorders (SUD). METHODS: Guided by the Arksey and O'Malley's Scoping Review Framework, empirical studies were identified within the CINAHL, PsycInfo, PubMed, and ProQuest databases using subject headings and free-text keywords. Studies were selected based on a priori inclusion/exclusion criteria, and data extraction and descriptive analysis were performed. RESULTS: A total of 27 original studies and 30 articles were included. Varying study designs were used, including several feasibility and acceptability studies. However, efficacious findings on abstinence and other clinically important outcomes were reported in several studies. Most studies focused on digital interventions for pregnant women (89.7%), suggesting a dearth of research on how digital technologies may support early parenting women with SUD. No studies included PEPW family members or involved PEPW women in the intervention design. CONCLUSIONS: The science of digital interventions to support treatment for PEPW is in an early stage, but feasibility and efficacy results are promising. Future research should explore community-based participatory partnerships with PEPW to develop or tailor digital interventions and include family or external support systems to engage in the intervention alongside PEPW.

Effects of meeting steps-based and minutes-based physical activity goals on weight loss in online behavioral weight control: seemingly unrelated regression analysis.

Background: Behavioral weight loss programs often prescribe physical activity (PA) goals in terms of minutes/week of moderate-to-vigorous PA (MVPA) and steps/day. However, the impact of meeting each type of goal prescription on weight loss is unclear, particularly in digitally-based (eHealth/mHealth) programs. This secondary analysis of a randomized trial examined the effects of meeting steps-based and minutes-based goals on weight loss in an eHealth behavioral weight control program. Methods: Adults in the control arm received a 6-month online behavioral weight loss intervention with prescribed weekly goals for daily steps and minutes of MVPA. The number of weeks steps-based and minutes-based goals were met (≥100% and ≥75% thresholds) based on self-reported PA were examined as predictors of 6-month weight loss among those providing weight outcomes (n = 172; 81% of control arm) using a systems regression approach. Results: Participants (BMI 35.6 kg/m2; 90.1% female; 48.7 years of age) met weekly goals for MVPA (7.1 ± 6.4 weeks) more often than steps (3.5 ± 5.5 weeks, P < .001). Meeting the steps goals (ß = .24, P < .001) and MVPA goals (ß = .20, P < .001) were each statistically significant predictors of weight loss at the 100% threshold; their total effects were not statistically different from one another (χ 2 = 1.12, P = .29). Similarly, at the 75% threshold for steps goals (ß = .19, P < .001) and MVPA goals (ß = .19, P < .001), each independently predicted weight loss; no differences were detected in their total effects (χ2 = .01, P = .92). The probability of reaching ≥5% weight loss was comparable between meeting the steps goals and MVPA goals at both adherence thresholds. Conclusions: Greater attainment of PA goals prescribed as steps and minutes of MVPA independently contribute to similar weight loss outcomes in a 6-month online behavioral weight loss intervention. Future research should determine whether promoting adherence to combined steps-based and minutes-based goals produces better weight loss than utilizing either goal alone and identify strategies that improve adherence.

Expert opinions on reducing dietary self-monitoring burden and maintaining efficacy in weight loss programs: A Delphi study.

Objective: Dietary self-monitoring is consistently related to both short- and long-term weight loss, but typically declines over time. Adopting an abbreviated approach to self-monitoring might reduce burden and potentially increase engagement while maintaining efficacy. Methods: Using a Delphi-type study, experts were queried about abbreviated self-monitoring approaches that might best balance efficacy and burden and asked to identify when these approaches might best be implemented within a behavioral weight loss program. Experts were surveyed three times until consensus was reached. Results: Experts identified three main categories of promising strategies for abbreviated self-monitoring regardless of whether individuals have been successful with weight loss or full dietary self-monitoring: (1) self-weighing only, (2) reducing the foods/beverages self-monitored to those that are often less routine and higher in caloric density, and (3) reducing the number of days per week to engage in full dietary self-monitoring. Experts recommended transitioning to abbreviated self-monitoring after 2 weeks of no self-monitoring among individuals who were struggling and after reaching 5%-10% weight loss among successful individuals. Conclusions: These expert opinions offer a foundation to experimentally manipulate promising strategies for reducing burden and increasing long-term engagement in self-monitoring, with a goal of enhancing long-term weight control.

Examining weekly facilitated group sessions and counselor-crafted self-monitoring feedback on treatment outcome in digital weight control: A pilot factorial study.

Objective: Weight control programs that incorporate group sessions produce greater weight losses, but this has not been explored in the context of online programs. Further, counselor-crafted self-monitoring feedback is a core element of lifestyle interventions, although pre-scripted, modular feedback which does not require detailed counselor review may adequately promote weight loss. The current study explored the weight losses achieved in an online program that included facilitated group sessions, as well as outcomes when counselor-crafted self-monitoring feedback was provided. Methods: A 2 × 2 pilot factorial randomized participants (90% women) with overweight/obesity (N = 73) to facilitated group sessions (yes/no) and type of feedback (counselor-crafted/pre-scripted, modular) within a 16-week online behavioral weight control program. Weight change outcomes were collected digitally. Treatment engagement and intervention delivery time were also tracked. Results: Individuals offered weekly facilitated online group sessions lost more weight (-5.3% ± 4.9%) than those receiving the same digital program without group sessions (-3.1% ± 4.0%; p = 0.04). Those receiving group sessions also demonstrated significantly greater treatment engagement. Individuals receiving pre-scripted, modular feedback lost significantly more weight (-5.3% ± 4.8%) than those receiving the more traditional counselor-crafted feedback (-3.1% ± 4.1%; p = 0.04), but treatment engagement did not differ between conditions. However, interventionist time required to provide feedback was markedly lower for pre-scripted than counselor-crafted feedback (1.4 vs. 3.5 h per participant over 16 weeks, respectively, p = 0.01). Conclusions: Incorporating weekly facilitated online group sessions significantly increased weight losses achieved in a digital lifestyle program. Further, pre-scripted, modular feedback required significantly less staff time than counselor-crafted feedback without diminishing weight losses. Thus, group sessions and pre-scripted feedback warrant consideration when designing digital lifestyle programs.

Perspectives on the Form, Magnitude, Certainty, Target, and Frequency of Financial Incentives in a Weight Loss Program.

PURPOSE: Financial incentives are a promising approach to enhance weight loss outcomes; however, little guidance exists on the optimal incentive structure. DESIGN: Mixed methods. SETTING: An online weight management trial, combining outcome (i.e., weight loss) and behavioral (i.e., self-weighing, dietary self-monitoring, and steps) incentives over 12 months (up to $665). SUBJECTS: 116 participants who completed the incentive preference assessment at the 18-month follow-up visit. METHOD: Response distributions on the form, magnitude, certainty, and target of the incentives and content analysis of the qualitative responses. RESULTS: Nearly all (96.6%) participants indicated they liked receiving electronic Amazon gift cards, more so than the alternatives presented. Most participants (81.0%) thought they would have lost a similar amount of weight if the incentives were smaller. Few (18.1%) indicated they would have preferred a lottery structure, but 50.8% indicated the variable incentive schedule was beneficial during the maintenance period. Most (77.6%) felt incentives were most helpful when starting to lose weight. In both phases, most participants (85.3% and 72.4%, respectively) indicated appropriate behaviors were incentivized. Participants had mixed views on whether outcome or behavioral incentives were most motivating. CONCLUSION: There was notable variation in preferences for the magnitude, duration, and timing of incentives; it will be important to examine in future research whether incentive design should be tailored to individual preferences.

Rationale and study protocol for a randomized controlled trial to determine the effectiveness of a culturally relevant, stress management enhanced behavioral weight loss intervention on weight loss outcomes of black women.

BACKGROUND: Obesity is a persistent public health concern and a risk factor for many chronic diseases including at least 13 different cancers. Adult Black females have the highest prevalence of obesity (57%) compared to other racial/gender groups in the U.S. Although behavioral weight loss (BWL) interventions have demonstrated effectiveness, Black females tend to lose less weight than White counterparts. The higher prevalence of chronic psychological stress reported by Black females may contribute to their disproportionate prevalence of obesity and observed suboptimal weight loss. This study will examine the effectiveness of a 12-month culturally-targeted, stress management-enhanced BWL intervention on weight loss and stress reduction among Black females in a fully-powered randomized, controlled trial. METHODS: Adult Black females with obesity (n = 340) will be randomized to either a culturally targeted stress management-enhanced BWL intervention (BWL-Stress) or the same BWL intervention alone (BWL-alone). The primary outcome is weight change at month 6. Secondary outcomes will include changes in stress measures (e.g., perceived stress, cortisol), energy intake, and physical activity at month 6. We will also assess process measures (e.g., treatment adherence, treatment burden). Each outcome will also be evaluated at month 12 to assess longer-term effects of the intervention. DISCUSSION: This novel approach for enhancing an evidence-based BWL program with culturally-targeted stress management strategies for Black females addresses an understudied barrier to effective weight management among a population at high risk for obesity and obesity-related chronic diseases. This study will potentially elucidate psychological or behavioral mechanisms linking our novel intervention to study outcomes. If the intervention is proven to be effective, this study will have significant clinical and public health implications for weight management among Black females. TRIAL REGISTRATION: This study was registered on ClinicalTrials.gov , identifier NCT04335799t , on April 6, 2020.

Describing Transitions in Adherence to Physical Activity Self-monitoring and Goal Attainment in an Online Behavioral Weight Loss Program: Secondary Analysis of a Randomized Controlled Trial.

BACKGROUND: Standard behavioral weight loss interventions often set uniform physical activity (PA) goals and promote PA self-monitoring; however, adherence remains a challenge, and recommendations may not accommodate all individuals. Identifying patterns of PA goal attainment and self-monitoring behavior will offer a deeper understanding of how individuals adhere to different types of commonly prescribed PA recommendations (ie, minutes of moderate-to-vigorous physical activity [MVPA] and daily steps) and guide future recommendations for improved intervention effectiveness. OBJECTIVE: This study examined weekly patterns of adherence to step-based and minute-based PA goals and self-monitoring behavior during a 6-month online behavioral weight loss intervention. METHODS: Participants were prescribed weekly PA goals for steps (7000-10,000 steps/day) and minutes of MVPA (50-200 minutes/week) as part of a lifestyle program. Goals gradually increased during the initial 2 months, followed by 4 months of fixed goals. PA was self-reported daily on the study website. For each week, participants were categorized as adherent if they self-monitored their PA and met the program PA goal, suboptimally adherent if they self-monitored but did not meet the program goal, or nonadherent if they did not self-monitor. The probability of transitioning into a less adherent status was examined using multinomial logistic regression. RESULTS: Participants (N=212) were predominantly middle-aged females with obesity, and 67 (31.6%) self-identified as a racial/ethnic minority. Initially, 73 (34.4%) participants were categorized as adherent to step-based goals, with 110 [51.9%] suboptimally adherent and 29 [13.7%] nonadherent, and there was a high probability of either remaining suboptimally adherent from week to week or transitioning to a nonadherent status. However, 149 (70.3%) participants started out adherent to minute-based goals (34 [16%] suboptimally adherent and 29 [13.7%] nonadherent), with suboptimally adherent seen as the most variable status. During the graded goal phase, participants were more likely to transition to a less adherent status for minute-based goals (odds ratio [OR] 1.39, 95% CI 1.31-1.48) compared to step-based goals (OR 1.24, 95% CI 1.17-1.30); however, no differences were seen during the fixed goal phase (minute-based goals: OR 1.06, 95% CI 1.05-1.08; step-based goals: OR 1.07, 95% CI 1.05-1.08). CONCLUSIONS: States of vulnerability to poor PA adherence can emerge rapidly and early in obesity treatment. There is a window of opportunity within the initial 2 months to bring more people toward adherent behavior, especially those who fail to meet the prescribed goals but engage in self-monitoring. Although this study describes the probability of adhering to step- and minute-based targets, it will be prudent to determine how individual characteristics and contextual states relate to these behavioral patterns, which can inform how best to adapt interventions. TRIAL REGISTRATION: ClinicalTrials.gov NCT02688621; https://clinicaltrials.gov/ct2/show/NCT02688621.

Using community-based participatory methods to design a digital intervention for mothers with substance use disorders: Qualitative results from focus group discussions.

PURPOSE: This community-based participatory research project explored the feasibility of delivering parenting and recovery supports through digital technology for mothers recovering from addictive substances. DESIGN AND METHODS: A community advisory board of key stakeholders (n = 7) served as a focus group of advisors to discuss needed supports. Data were analyzed through qualitative descriptive analysis. FINDINGS: Results revealed themes about challenges and supports needed, and whether supports delivered through digital technology may improve recovery and parenting. PRACTICE IMPLICATIONS: Future exploration needs to examine the extent to which the use of community-guided, tailored digital support applications that supplement prescribed treatment can enhance parenting and recovery.

Randomized controlled trial of financial incentives during weight-loss induction and maintenance in online group weight control.

OBJECTIVE: This study examined the impact of a financial incentive scheme integrating process and outcome incentives across weight-loss induction and weight maintenance on 18-month weight outcomes. METHODS: This was a randomized controlled trial. Participants with overweight or obesity (n = 418; 91% female; 28% racial/ethnic minority) were randomized to an 18-month, online, group-based behavioral weight-control program (Internet-Only) or the same program with financial incentives provided for 12 months, contingent on self-regulatory weight-control behaviors (self-weighing, dietary self-monitoring, and physical activity) and weight-outcome benchmarks (Internet+Incentives). No financial incentives were provided from Months 13 to 18 to examine the durability of weight-control behaviors and outcomes without incentives. RESULTS: Weight-loss induction at Month 6 was significantly greater for Internet+Incentives than Internet-Only (6.8% vs. 4.9%, respectively, p = 0.01). Individuals receiving incentives were significantly more likely to maintain weight loss ≥ 5% at Month 12 (45% in Internet+Incentives vs. 32% in Internet-Only, p < 0.02) and remain weight stable (39% vs. 27%, respectively, p < 0.01). Internet+Incentives participants also reported significantly greater behavioral engagement through Month 12. However, once incentives ceased, there were no differences in sustained weight outcomes (Month 18), and engagement declined dramatically. CONCLUSIONS: Despite promoting greater treatment engagement and initial weight loss, financial incentives as offered in this study did not promote better extended weight control.

Distinguishing early patterns of physical activity goal attainment and weight loss in online behavioral obesity treatment using latent class analysis.

Physical activity (PA) goal adherence is consistently associated with greater weight loss during behavioral obesity treatment, and early weight loss response predicts future weight loss success. However, it remains unclear which behaviors during the initial weeks of treatment distinguish responders from nonresponders and might be effective targets for improving treatment outcomes. To characterize subgroups with distinct patterns of PA goal adherence during the initial 2 months of an online, group-based weight control program and determine associations between these patterns and 6-month weight loss. Participants received an online behavioral obesity intervention with PA goals and daily self-monitoring. Weekly adherence to step goals and moderate-to-vigorous PA (MVPA) minute goals based on self-monitoring records were examined using latent class analysis. Body weight was objectively measured at 0, 2, and 6 months. Participants (N = 212; 91.5% female, 31.6% race/ethnic minority, mean body mass index: 35.8 ± 5.9 kg/m2) clustered into three subgroups based on early goal attainment: "Both PA Goals," "MVPA Goals Only," and "Neither PA Goal." The "Both PA Goals" class had significantly greater 6-month weight loss (estimated mean weight loss [95% CI]: -9.4% [7.4 to 11.5]) compared to the "MVPA Goals Only" (-4.8% [3.4 to 6.1]) and "Neither PA Goal" classes (-2.5% [1.4 to 3.6]). Individuals meeting both PA goals early in treatment achieve greater weight losses than those meeting MVPA but not step goals, pointing to the need to explore factors associated with nonadherence to each of the PA goals to better understand these potential targets for treatment refinement and adaptive interventions.

This study is the first to characterize subgroups of individuals engaged in a behavioral weight control program with distinct patterns of early physical activity (PA) goal attainment. These early PA patterns emerged as a novel factor associated with subsequent weight loss and provide an important lens to view early treatment engagement. The greatest weight losses were seen in the subgroup likely to meet program goals for both weekly minutes of moderate-to-vigorous PA and daily steps. Understanding the factors associated with PA goal attainment during the initial 2 months of a behavioral weight control program may provide insights that will allow early identification of likely treatment success and detect individuals at risk for reduced weight losses, which could signal individuals for whom additional or different support may then be directed to increase weight loss success.

An Exploration of Domain-Specific Sedentary Behaviors in College Students by Lifestyle Factors and Sociodemographics.

College students exhibit high levels of sedentary time and/or poor lifestyle factors (e.g., poor sleep, stress, physical inactivity). It is unknown; however, in what domains college students spend their sedentary time and whether there are associations between sedentary time and these lifestyle factors. This study examined sedentary behavior of college students by domains, current lifestyle factors and sociodemographics. Undergraduates (n = 272, M age = 20 years, 79% female) self-reported their sedentary behavior, sleep, stress, physical activity, anthropometrics and sociodemographics. Sedentary time was categorized as: total, recreational screen, education and social. Students reported spending > 12 h of their day sedentary on average, with over a third of this time spent in recreational screen time. All categories of sedentary time were significantly correlated with body mass index, and both total sedentary time and screen time were significantly correlated with sleep score, with poorer sleep quality associated with greater sedentary time. Physical activity was negatively correlated with social sedentary time only. Subgroups with elevated sedentary time included minority students, those with low parental education and students with overweight/obesity. Given the negative health impacts of sedentary behavior, college students would likely benefit from interventions tailored to this population which target reducing sedentary time, particularly recreational screen time.

A Comparison of Sedentary Behavior as Measured by the Fitbit and ActivPAL in College Students.

Previous studies have examined the ability of the Fitbit to measure physical activity compared to research-grade accelerometers. However, few have examined whether Fitbits accurately measure sedentary behavior. This study examined whether the Fitbit Charge 3 adequately quantifies sedentary behavior compared to the gold standard in objectively measured sedentary behavior assessment, the activPAL. Eleven adults wore a Fitbit Charge 3 and activPAL device for 14 days and self-reported their sedentary behavior each week. ActivPAL epoch data were summed into minute-by-minute data and processed with two cutpoints (activPAL_Half and activPAL_Full) to compare to Fitbit data. Paired t-tests were used to examine differences between the two devices for sedentary behavior variables. Intraclass correlations were used to examine device agreement. There was no significant difference in sedentary time between activPAL_Half and Fitbit data, but activPAL_Full estimated significantly lower sedentary time than Fitbit. Intraclass correlations showed high agreement. We suggest that Fitbit could replace activPAL when measuring total sedentary time.

Evaluating a Technology-Mediated HPV Vaccination Awareness Intervention: A Controlled, Quasi-Experimental, Mixed Methods Study.

College-aged women and men are an important catch-up population for human papillomavirus (HPV) vaccination interventions. Limited research has explored technology-mediated HPV vaccination awareness interventions aimed at college students. The purpose was to evaluate a novel, technology-mediated, social media-based intervention to promote HPV vaccination among college students. A controlled, quasi-experimental, mixed methods study examined the feasibility of a technology-based intervention among two undergraduate classes (n = 58) at a public university in the southeastern United States of America. Classes were randomized to receive one of two cancer prevention programs (i.e., HPV vaccination (intervention) or healthy weight (control)). Both programs contained eight technology-mediated sessions, including weekly emails and private Facebook group posts. Participants completed pre-/post-test surveys and submitted weekly qualitative reflections. Data were analyzed using descriptive statistics and thematic review for qualitative data. Knowledge improved among participants in the HPV vaccination intervention relative to those in the control condition. Participants (97%) interacted on Facebook by "liking" a post or comment or posting a comment. Participants demonstrated robust engagement and high treatment satisfaction. Results suggests that social media is an effective platform to reach college students with health promotion interventions and increase HPV vaccination awareness in this important catch-up population.

Importance of Multiple Reinforcing Comments and Areas for Change in Optimizing Dietary and Exercise Self-Monitoring Feedback in Behavioral Weight Loss Programs: Factorial Design.

BACKGROUND: Individualized dietary and physical activity self-monitoring feedback is a core element of behavioral weight loss interventions and is associated with clinically significant weight loss. To our knowledge, no studies have evaluated individuals' perspectives on the composition of feedback messages or the effect of feedback composition on the motivation to self-monitor. OBJECTIVE: This study aims to assess the perceptions of feedback emails as a function of the number of comments that reinforce healthy behavior and the number of areas for change (ie, behavioral changes that the individual might make to have an impact on weight) identified. METHODS: Emailed feedback followed a factorial design with 2 factors (ie, reinforcing comments and areas for change), each with 3 levels (ie, 1, 4, or 8 comments). A total of 250 adults with overweight or obesity who were interested in weight loss were recruited from the Qualtrics research panel. Participants read 9 emails presented in a random order. For each email, respondents answered 8 questions about the likelihood to self-monitor in the future, motivation for behavioral change, and perceptions of the counselor and the email. A mixed effects ordinal logistic model was used to compute conditional odds ratios and predictive margins (ie, average predicted probability) on a 5-point Likert response scale to investigate the optimal combination level of the 2 factors. RESULTS: Emails with more reinforcing comments or areas for change were better received, with small incremental benefits for 8 reinforcing comments or areas for change versus 4 reinforcing comments or areas for change. Interactions indicated that the best combination for 3 of 8 outcomes assessed (ie, motivation to make behavioral changes, counselor's concern for their welfare, and the perception that the counselor likes them) was the email with 8 reinforcing comments and 4 areas for change. Emails with 4 reinforcing comments and 4 areas for change resulted in the highest average probability of individuals who reported being very likely to self-monitor in the future. CONCLUSIONS: The study findings suggest how feedback might be optimized for efficacy. Future studies should explore whether the composition of feedback email affects actual self-monitoring performance.

Early Physical Activity Adoption Predicts Longer-Term Physical Activity Among Individuals Inactive at Baseline.

BACKGROUND: To examine the relationship between early physical activity (PA) adoption (2, 3, and 4 mo) and longer-term PA adherence (1 y) among individuals who were inactive at baseline and received a lifestyle intervention. METHODS: Participants (n = 637) received weekly behavioral weight loss sessions, calorie reduction, and PA goals (50-175 min/wk progression). PA was assessed via self-reported measures at baseline, months 2 to 4, and 1 year. RESULTS: PA at months 2 to 4 was significantly correlated with PA at 1 year (rs = .29-.35, P < .01). At all early time points, those failing to meet the prescribed PA goal (early nonadopters) engaged in significantly less PA at 1 year than those meeting the early PA goal (initial adopters). For example, using 2-month criteria, initial adopters engaged in 108.3 minutes per week more at 1 year compared with early nonadopters (P < .01) and had 2.8 times the odds (95% confidence interval, 1.9-4.2) of meeting the 1-year PA goal (≥175 min/wk, P < .01). CONCLUSIONS: Failure to achieve PA goals at 2, 3, or 4 months results in less overall PA at 1 year. Thus, PA observed as early as month 2 may be a useful indicator for identifying at-risk individuals who may benefit from more intensive PA intervention strategies.

Adding Financial Incentives to Online Group-Based Behavioral Weight Control: An RCT.

INTRODUCTION: Internet-delivered behavioral weight control is promising for expanding the reach and availability of weight management, but online programs produce lower weight losses than typically achieved in person. Financial incentives have been shown to increase weight losses. This study examined whether adding financial incentives for self-monitoring and achieving target weight losses increases weight losses attained in a fully online, group-based behavioral weight management program compared with the same program alone. STUDY DESIGN: This study was an RCT. SETTING/PARTICIPANTS: Adults with overweight and obesity (n=418; 91% female; 28% minority) were recruited from 2 clinical centers. INTERVENTION: The intervention was a 24-session online group-based behavioral weight control program with weekly synchronous chat sessions (Internet-only) or the same program with weekly financial incentives for self-monitoring body weight and dietary intake daily and for achieving target weight losses at 2 and 6 months (Internet + incentives). MAIN OUTCOME MEASURES: This study measured weight loss at 6 months and treatment engagement (attendance, self-monitoring of body weight, dietary intake, and physical activity). Data were collected between February 2016 and August 2018, and analyses were completed in 2019. RESULTS: Participants randomized to the Internet + incentives group lost more weight (-6.4 [SD=5.5] kg) than those in the Internet-only group (-4.7 [SD=6.6] kg; p<0.01). Further, a higher proportion of the Internet + incentives group achieved ≥5% weight loss (55%) than those in the Internet-only group (40%; p<0.05). Treatment engagement was higher in the Internet + incentives condition, with greater self-monitoring of behaviors targeted by incentives, as well as higher rates of behaviors not targeted and higher self-reported physical activity. Study retention was higher among those in the Internet + incentives condition (91%) than those in the Internet-only condition (81%; p=0.003). CONCLUSIONS: Adding financial incentives to a program delivered fully online increases weight losses compared with the program alone and can achieve weight losses comparable to in-person programs, offering potential for substantial geographic reach. TRIAL REGISTRATION: This study is registered at www.clinicaltrials.gov NCT02688621.

Eating behavior and weight gain during pregnancy.

OBJECTIVES: Little is known about the relationship between eating behavior and weight gain during pregnancy. PURPOSE: Our objective was to assess the relationship among self-reported cognitive restraint, disinhibition, and hunger, and excessive gestational weight gain (GWG) as defined by the Institute of Medicine's (IOM) 2009 guidelines. Based on previous research examining eating behaviors and weight gain in non-pregnant women, we hypothesized that excessive GWG would be related to higher cognitive restraint, higher disinhibition, and higher perception of hunger. METHODS: 190 pregnant women from the Glowing study completed the Three-Factor Eating Questionnaire (TFEQ) at the enrollment visit, which included subscales assessing restraint, disinhibition, and hunger. Participants' height and weight from <10 weeks through 36 weeks gestation were measured, allowing classification within or in excess of the IOM guidelines adjusted for the week of the final measurement. RESULTS: The odds that a participant would gain weight above IOM recommendations was 1.2 times higher (OR = 1.17, 95% CI = 1.05-1.29) for each one-unit increase in the disinhibition subscale in the unadjusted logistic regression. However, after controlling for sociodemographic characteristics and baseline BMI categories, participants' TFEQ scores were not associated with the likelihood of having GWG above IOM guidelines. Eating behaviors subscales were modestly correlated with baseline BMI categories (all rs < 0.50 with p-values ranging from <0.001 to 0.619). CONCLUSIONS: Although disinhibition scores had a significant relationship with excessive GWG, the significance of this relationship was not sustained after adjusting for sociodemographic characteristics and baseline BMI categories.

Weight Status and Sedentary Behavior of Alzheimer's Disease Caregivers.

Objectives: In this study, we sought to characterize the weight status, sedentary behavior, and physical activity of caregivers of individuals with Alzheimer's disease. Methods: In 2014, we surveyed caregivers of individuals with Alzheimer's disease from the South Carolina Alzheimer's Disease Registry (N = 47) about their personal health behaviors. Additionally, a subset of individuals (N = 14) wore an accelerometer for 7 days. Results: Caregivers (N = 47) were mostly overweight or obese (85%) and self-reported a daily average sedentary time of 246.5 ± 203.0 minutes and 455.8 ± 291.4 minutes, as measured by 2 questionnaires. Objective measures indicated that persons spent an average of 769.4 ± 167.6 minutes per day (77.8% of their waking day) engaged in sedentary behavior. Conclusion: Given the negative health outcomes associated with both obesity and sedentary behavior, this is a vulnerable population that likely would benefit from interventions focused on weight management and reducing sedentary behavior.

Weight Loss Experiences of African American, Hispanic, and Non-Hispanic White Men and Women with Type 2 Diabetes: The Look AHEAD Trial.

OBJECTIVE: The aim of this study was to characterize weight loss, treatment engagement, and weight control strategies utilized by African American, Hispanic, and non-Hispanic white participants in the Action for Health in Diabetes (Look AHEAD) Intensive Lifestyle Intervention by racial/ethnic and sex subgroups. METHODS: Weight losses at 1, 4, and 8 years among 2,361 adults with obesity and type 2 diabetes randomized to intervention (31% minority; 42% men) are reported by subgroup. Multivariable models within subgroups examine relative contributions of treatment engagement variables and self-reported weight control behaviors. RESULTS: All subgroups averaged weight losses ≥ 5% in year 1 but experienced regain; losses ≥ 5% were sustained at year 8 by non-Hispanic white participants and minority women (but not men). Session attendance was high (≥ 86%) in year 1 and exceeded protocol-specified minimum levels into year 8. Individual session attendance had stronger associations with weight loss among Hispanic and African American participants than non-Hispanic white participants at 4 years (P = 0.04) and 8 years (P = 0.001). Daily self-weighing uptake was considerable in all subgroups and was a prominent factor associated with year 1 weight loss among African American men and women. Greater meal replacement use was strongly associated with poorer 1-year weight losses among African American women. CONCLUSIONS: Experiences of minority men and women with diabetes in lifestyle interventions fill important gaps in the literature that can inform treatment delivery.