Self-monitoring (SM) of food intake is central to weight loss treatment. Technology makes it possible to reinforce this behavior change strategy by providing real-time feedback (FB) tailored to the diary entry. To test the feasibility of providing 1–4 daily FB messages tailored to dietary recordings via a smartphone, we conducted a 12-week pilot randomized clinical trial in Pittsburgh, PA in US in 2015. We compared 3 groups: SM using the Lose It! smartphone app (Group 1); SM + FB (Group 2); and SM + FB + attending three in-person group sessions (Group 3). The sample (N = 39) was mostly white and female with a mean body mass index of 33.76 kg/m2. Adherence to dietary SM was recorded daily, weight was assessed at baseline and 12 weeks. The mean percentage of days adherent to dietary SM was similar among Groups 1, 2, and 3 (p = 0.66) at 53.50% vs. 55.86% vs. 65.33%, respectively. At 12 weeks, all groups had a significant percent weight loss (p < 0.05), with no differences among groups (− 2.85% vs. − 3.14% vs. − 3.37%) (p = 0.95); 26% of the participants lost ≥ 5% of their baseline weight. Mean retention was 74% with no differences among groups (p = 0.37). All groups adhered to SM at levels comparable to or better than other weight loss studies and lost acceptable amounts of weight, with minimal intervention contact over 12 weeks. These preliminary findings suggest this 3-group approach testing SM alone vs. SM with real-time FB messages alone or supplemented with limited in-person group sessions warrants further testing in a larger, more diverse sample and for a longer intervention period.
Introduction:
Lifestyle interventions, with physical activity (PA) as a key component, are important to reducing cardiometabolic disease risk. In our work in both efficacy and effectiveness clinical trials, we have shown that season has a significant impact on subjectively determined moderate-vigorous (MV) PA levels, both at baseline and during the intervention. However, the effect of season in these lifestyle interventions has not yet been examined utilizing objective measurements of PA so that time spent in all PA intensities and sedentary behavior(SB) can be quantified.
Hypothesis:
Our hypothesis is that PA would increase and SB would decrease due to the intervention but that season would have an additional effect on both.
Methods:
We enrolled 150 overweight/obese adults (51.1±10.2 y; 79% Caucasian; 91% female) in a 12-month lifestyle intervention for weight loss that provided regular feedback to participants on diet and PA goal achievement. Six cohorts were recruited from 2012-2014. The PA goal was to achieve and maintain 150 minutes/week of MVPA. ActiGraph GT3x accelerometers, worn on the waist, were used to assess average daily step counts and time spent in PA and SB. Accelerometer recordings with 10 hours/day of wear time on ≥4 days were considered a valid assessment of typical PA and SB. Changes in activity variables at 6 months and 12 months were examined using linear mixed models. We also examined the season (winter, spring, summer, or autumn) when the intervention was implemented and if this affected changes in PA and SB.
Results:
Baseline accelerometer data were valid for 149 participants. Mean (SD) baseline values were 6132 (1873) steps counts/day, 11 (11) MVPA min/day, 245 (64) light intensity (L)PA min/day, 635 (85) SB min/day. Season was significantly related to step counts, LPA, MVPA, and SB with significantly lower PA and higher SB in the winter (p<0.05). Changes in LPA and SB were not significant over the entire follow-up (p>0.05). When adjusted (for monitor wear time/day and season) mean (SD) increases in step counts from baseline were 1128 (208) and 742(209) steps/day at 6 and 12 months, respectively (both p<0.0001). For MVPA adjusted mean (SD) increases from baseline were 7(1) and 6(1) min/day at 6 and 12 months, respectively (both p<0.0001).
Conclusions:
Relevant improvements in steps counts and MVPA were recorded at 6 and 12 months. This was true even after controlling for the effect of differences in the season of implementation. When considering the effect of lifestyle interventions on activity, future studies should consider the effect of seasonal changes on PA levels.
The prevalence of obesity is a significant problem among racial and ethnic minorities and those of low socioeconomic status (SES). Psychosocial barriers, such as binge eating and low self-efficacy, are known to hinder the adoption of a more healthful diet. There is limited research identifying racial and SES differences in binge eating and self-efficacy. Further investigations of these constructs may allow researchers to improve the effectiveness of weight management interventions and increase social worker involvement. In this article, the authors examine the socioeconomic and racial differences in binge eating and eating self-efficacy in a sample of individuals seeking weight loss treatment (N = 151). They explore associations between various sociodemographic variables and the Binge Eating Scale and Weight Efficacy Lifestyle Questionnaire (WEL). At baseline, nonwhite participants or those with fewer years of education exhibited more confidence resisting eating when food was available. Moreover, nonwhite participants reported more self-confidence eating under social pressure and had higher total WEL scores than white participants. However, at six months, nonwhite participants' WEL scores decreased. White participants increased their total WEL scores and obtained a higher percent weight change by the end of the intervention. Additional investigations on the dynamics affecting the development of self-efficacy are warranted.
Excessive postpartum weight retention conveys risks for future metabolic diseases. Eating behaviors influence postpartum weight retention; however, the modifiable predictors of eating behaviors remain unclear. Using data from a three-arm, randomized controlled trial, the purpose of this study was to examine the longitudinal associations of mental health (e.g., depressive symptoms) and behavior change skills (e.g., self-efficacy) with eating behaviors (i.e., compensatory restraint, routine restraint, emotional eating, and external eating) among women (N = 424) over 18-months postpartum. Results revealed that depressive symptoms, perceived stress, healthy eating self-efficacy, overeating self-efficacy, self-weighing, and problem-solving confidence were associated with one or more of the examined eating behaviors. Furthermore, depressive symptoms moderated the association between healthy eating self-efficacy and routine restraint. Perceived stress moderated the associations between healthy eating/overeating self-efficacy and emotional eating. The findings suggest that mental health and behavior change skills may serve as targets for interventions designed to improve postpartum women’s eating behaviors. Clinical trials registry:ClinicalTrials.gov #NCT01331564
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