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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.

Objective Behavioral weight loss programs (BWL) provide limited instruction on how to change the environmental context of weight-regulating behaviors, perhaps contributing to regain. Drawing on social ecological models, this trial evaluated a comprehensive weight loss program that targeted both an individual’s behavior and their physical and social home environment. Methods Overweight and obese adults (N=201; 48.9±10.5 years; 78.1% women) were randomized to BWL or to BWL plus home environment changes (BWL+H). Groups met weekly for 6 months and bi-monthly for 12 months. BWL+H participants were given items to facilitate healthy choices in their homes (e.g., exercise equipment, portion plates) and attended treatment with a household partner. Weight loss at 6 and 18 months was the primary outcome. Results BWL+H changed many aspects of the home environment and produced better 6 month weight losses than BWL (p=.017). At 18 months, no weight loss differences were observed (p=.19) and rates of regain were equivalent (p=.30). Treatment response was moderated by gender (6 month p=.01; 18 month p=.006). Women lost more weight in BWL+H than BWL at 6 and 18 months, whereas men in BWL lost more weight than those in BWL+H at 18 months. Partners, regardless of gender, lost more weight in BWL+H than BWL at both time points (ps<.0001). Conclusion The home food and exercise environment is malleable and targeting this microenvironment appears to improve initial weight loss, and in women, 18-month outcomes. Research is needed to understand this gender difference and to develop home-focused strategies with more powerful and sustained weight loss effects.

ObjectiveTo test the efficacy of a weight loss intervention designed to appeal to men.Design and methodsA randomized trial tested the efficacy of the REFIT (Rethinking Eating and FITness) weight loss program compared to a waitlist control. The six-month intervention was delivered via two face-to-face sessions followed by Internet contacts. REFIT encouraged participants to create calorie deficits by making six 100-calorie changes to their eating daily while increasing physical activity and the program encouraged customization through selection of specific diet strategies evaluated each week.ResultsParticipants (N=107, 44.2 years, 31.4 kg/m2, 76.6% white) were randomized into the study and 90.6% provided data at six months. REFIT participants lost -5.0 kg (95% CI: -6.1, -3.9) at three months, which was maintained through six months (-5.3 kg, 95% CI: -6.5, -4.2); this was greater than the control group (p<0.001; 6-month: -0.6, 95% CI: -1.8, 0.5). More REFIT participants (49%) achieved a 5% weight loss than control participants (19%; OR 9.4; 95% CI: 3.2, 27.4). An average of 11.2 (±2.7) of 13 of the online intervention contacts were completed.ConclusionsThe novel REFIT intervention produced clinically significant weight losses. This approach holds promise as an alternative to traditional behavioral therapy for men.

Adding behavioral strategies to community campaigns may improve weight loss outcomes with minimal additional cost.

The purpose of this study is to explore gender differences in reasons for losing weight, weight loss methods, and weight loss behaviors prior to and during a weight loss maintenance trial. This is a secondary analysis of data from a 24-month randomized controlled trial comparing Self-Directed or Guided phone-based weight loss maintenance interventions among adults who had intentionally lost ≥10% of their body weight in the year prior to enrollment. Participants reported their weight loss methods and reasons for recently losing weight at baseline. Dietary intake, physical activity, and dietary patterns were assessed at baseline, 12, and 24 months. Participants included 419 adults (18.4% men, age 47.0 ± 10.8, BMI 28.4 ± 5.0). Women were more likely than men to report having used an organized weight loss program during their weight loss (55.9% vs. 24.7%, p < .001) and to report improving personal esteem as a motivator (51.2% vs. 35.1%, p = .01). Men were more likely than women to report eating food from convenience stores at baseline (22.1% vs. 13.2%, p = .05) and throughout the study but otherwise reported similar meal patterns (ps > .05). Men reported higher energy intake than women while physical activity was similar. Although more men self-directed their initial weight loss and more women utilized organized weight loss programs, behaviors reported during weight loss maintenance were similar. Futures studies are needed to understand if these results generalize to other men who have successfully lost weight and are participants in other weight loss maintenance interventions.

Given the epidemic of obesity, approaches to weight loss that can be applied on a community, state, or national level are needed. We report results from Shape Up Rhode Island 2007 (SURI), a state-wide Internet based program involving team-based competition to increase physical activity and achieve weight loss. A total of 4,717 adults (84% female; mean BMI = 29.6 kg/m2) enrolled in the 16 week weight loss competition of SURI and 3311 completed at least 12 weeks. Completers reported losing 3.2 ± 3.4 kg, and 30% achieved a clinically significant weight loss of 5% or more. Although modest, these weight losses shifted the BMI distribution from a mean BMI of 29.4 to 28.2 kg/m2 and reduced the population that was obese from 39% to 31%. More conservative intent-to-treat analyses and analysis of 132 participants with objective weights still showed a significant reduction in BMI of −0.8 units. These findings suggest that state-wide weight loss campaigns can produce modest weight losses in large numbers of participants. These data provide a bench-mark that can be used for comparisons with other state-wide campaigns. Research on ways to improve such campaigns is needed.

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 16-weeks, 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<.001). There was a significant intraclass correlation for step change among team members (ICC=.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<.001), whereas being on a team with a broad range of steps was associated with smaller changes in activity for individual members (p=.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.