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An improved understanding of psychosocial factors and their dynamic changes and interrelations is required to increase comprehension of the effects of exercise on weight loss. Women (N = 99) participating in a theory-based, community-administered obesity program focused on self-regulation of weight-loss behaviors were assessed. Analyses of a theory- and causal chain-driven sequential multiple mediation model affirmed the hypothesized path from moderate exercise[right arrow]decreased negative mood[right arrow]increased self-regulation[right arrow]increased self-efficacy[right arrow]improved weight-loss behaviors[right arrow]weight loss over 6 months. Alternate significant paths within the model reinforced an expected relationship between exercise-associated decrease in negative mood and increased self-regulation. Although completion/non-completion of the equivalent of 3 moderate bouts of exercise/week was significantly related to weight loss in bivariate analyses, it was no longer significant when the above mediators were sequentially entered. The mean observed loss of weight was -7.6%. Findings lent direction to more extensive and controlled research that could inform improvements in behavioral obesity treatments., Author(s): James J. Annesi [sup.1] [sup.2] [sup.3] , Sara M. Powell [sup.2] Author Affiliations: (1) Central Coast YMCA, , Monterey, CA, USA (2) grid.253562.5, 0000 0004 0385 7165, California State [...]

Nearly 70% of Americans are overweight, in large part because of overconsumption of high-calorie foods such as sweets. Reducing sweets is difficult because powerful drives toward reward overwhelm inhibitory control (i.e., the ability to withhold a prepotent response) capacities. Computerized inhibitory control trainings (ICTs) have shown positive outcomes, but impact on real-world health behavior has been variable, potentially because of limitations inherent in existing paradigms, e.g., low in frequency, intrinsic enjoyment, personalization, and ability to adapt to increasing ability. The present study aimed to assess the feasibility, acceptability, and efficacy of a gamified and non-gamified, daily, personalized, and adaptive ICT designed to facilitate weight loss by targeting consumption of sweets. Participants (N = 106) were randomized to one of four conditions in a 2 (gamified vs. non-gamified) by 2 (ICT vs. sham) factorial design. Participants were prescribed a no-added-sugar diet and completed 42 daily, at-home trainings, followed by two weekly booster trainings. Results indicated that the ICTs were feasible and acceptable. Surprisingly, compliance to the 44 trainings was excellent (88.8%) and equivalent across both gamified and non-gamified conditions. As hypothesized, the impact of ICT on weight loss was moderated by implicit preference for sweet foods [F(1,95) = 6.17, p = .02] such that only those with higher-than-average implicit preference benefited (8-week weight losses for ICT were 3.1% vs. 2.2% for sham). A marginally significant effect was observed for gamification to reduce the impact of ICT. Implications of findings for continued development of ICTs to impact health behavior are discussed., Author(s): Evan M. Forman [sup.1] , Stephanie M. Manasse [sup.1] , Diane H. Dallal [sup.1] , Rebecca. J. Crochiere [sup.1] , Caitlin M. Loyka [sup.1] , Meghan L. Butryn [sup.1] [...]

Obesity is a prevalent health care issue associated with disability, premature morality, and high costs. Behavioral weight management interventions lead to clinically significant weight losses in overweight and obese individuals; however, many individuals are not able to participate in these face-to-face treatments due to limited access, cost, and/or time constraints. Technological advances such as widespread access to the Internet, increased use of smartphones, and newer behavioral self-monitoring tools have resulted in the development of a variety of eHealth weight management programs. In the present paper, a summary of the most current literature is provided along with potential solutions to methodological challenges (e.g., high attrition, minimal participant racial/ethnic diversity, heterogeneity of technology delivery modes). Dissemination and policy implications will be highlighted as future directions for the field of eHealth weight management., Author(s): Andrea T. Kozak [sup.1] , Joanna Buscemi [sup.2] , Misty A. W. Hawkins [sup.3] , Monica L. Wang [sup.4] , Jessica Y. Breland [sup.5] [sup.6] , Kathryn M. Ross [...]