African-Americans in Standard Behavioral Treatment for Obesity, 2001-2015: What have we learned?

African Americans (AAs) bear a disproportionate burden of the obesity epidemic, yet have historically been underrepresented in weight loss research. We conducted a narrative review of large (N > 75) randomized prospective clinical trials of standard behavioral treatment for weight loss that reported results in the past 15 years (2001-2015) to (a) determine the rates of inclusion and reported results for AAs and (b) further identify strategies that may result in improved outcomes. Of the 23 trials reviewed, 69.6% of the studies met or exceeded population estimates for AAs in the United States. However, only 10 reported outcomes and/or considered race in the analytic approach. At 6 months, AA participants consistently lost less weight than White participants. The use of culturally tailored intervention materials and monthly personal telephone calls were reported as factors that may have enhanced treatment response. Future behavioral weight loss trials should also increase reporting of outcomes by race

The Use of mHealth to Deliver Tailored Messages Reduces Reported Energy and Fat Intake.

Evidence supports the role of feedback in reinforcing motivation for behavior change. Feedback that provides reinforcement has the potential to increase dietary self-monitoring and enhance attainment of recommended dietary intake. The aim of this study was to examine the impact of daily feedback (DFB) messages, delivered remotely, on changes in dietary intake. This was a secondary analysis of the Self- Monitoring And Recording using Technology (SMART) Trial, a single-center, 24-month randomized clinical trial of behavioral treatment for weight loss. Participants included 210 obese adults (mean body mass index, 34.0 kg/m2) who were randomized to either a paper diary (PD), personal digital assistant (PDA), or PDA plus daily tailored feedback messages (PDA + FB). To determine the role of daily tailored feedback in dietary intake, we compared the self-monitoring with DFB group (DFB group; n = 70) with the self-monitoring without DFB group (no-DFB group, n = 140). All participants received a standard behavioral intervention for weight loss. Self-reported changes in dietary intake were compared between the DFB and no-DFB groups and were measured at baseline and at 6, 12, 18, and 24 months. Linear mixed modeling was used to examine percentage changes in dietary intake from baseline. Compared with the no-DFB group, the DFB group achieved a larger reduction in energy (−22.8% vs −14.0%; P = .02) and saturated fat (−11.3% vs −0.5%; P = .03) intake and a trend toward a greater decrease in total fat intake (−10.4% vs −4.7%; P = .09). There were significant improvements over time in carbohydrate intake and total fat intake for both groups (P values < .05). Daily tailored feedback messages designed to target energy and fat intake and delivered remotely in real time using mobile devices may play an important role in the reduction of energy and fat intake