Obesity treatment in disadvantaged population groups: where do we stand and what can we do?

Obesity is now the second leading cause of death and disease in the United States leading to health care expenditures exceeding $147 billion dollars. The socioeconomically disadvantaged and racial/ethnic minority groups are at significantly increased risk for obesity. Despite this, low income and minority individuals are underrepresented in the current obesity treatment literature. Additionally, weight loss outcomes for these high risk groups are well below what is typically produced in standard, well-controlled behavioral interventions and reach and access to treatment is often limited. The use of telecommunications technology may provide a solution to this dilemma by expanding dissemination and allowing for dynamic tailoring. Further gains may be achieved with the use of material incentives to enhance uptake of new behaviors. Regardless of what novel strategies are deployed, the need for further research to improve the health disparities associated with obesity in disadvantaged groups is critical. The purpose of this manuscript is to review the weight loss intervention literature that has targeted socioeconomically disadvantaged and racial/ethnic minority populations with an eye toward understanding outcomes, current limitations, areas for improvement and need for further research.

Association of self-reported executive function and mood with executive function task performance across adult populations.

Executive function (EF) impacts behavior associated with health outcomes. EF can be measured using self-report and/or performance measures, but the correlations between these types of measures are mixed in the extant literature. This study examined self-report and performance-based measures of EF using data from 6 studies, including community and clinical populations (410 participants, ages 19-80, 71% female). Partial correlations revealed significant relationships between performance on the Trail making, Delay Discounting, and Stop Signal tasks with self-reported EF (p < .006 after controlling for age). Mood scores were significantly related to all self-reported domains of EF (p < .0001), and mood and EF scores were correlated over time. When also controlling for mood, correlations between delay discounting and stop signal tasks with self-reported EF remained significant (p < .006). Finally, examining EF scores in participants with and without clinically elevated mood scores showed a wider distribution of self-reported EF scores among those with clinically elevated mood symptoms than among those without. We conclude that self-reported EF is associated with tasks measuring delay discounting and response inhibition in our large, heterogenous population and that assessing EF may be particularly important for those with high levels of mood symptoms.

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.