This scoping review examined intervention and sample characteristics of family-based obesity prevention interventions among Hispanic youth. This review also examined the degree to which existing interventions were culturally-adapted, acknowledged social determinants of health (SDoH), and collaborated with community stakeholders. A comprehensive search across Medline Ovid, Embase, Scopus, PsycInfo, and Pubmed was used to identify 13 studies primarily based in the U.S. (92.3%). Data was extracted by two independent reviewers. Most used a randomized control trial design (69.2%), a behavior change theory (84.6%), and reported moderate to high (≥70%) retention (69.2%). Studies targeted improvements in physical activity (69.2%) and fruit and vegetable intake (92.3%) through nutrition education, cooking demonstrations, and tastings. Younger children from low socioeconomic backgrounds (61.5%) were well represented. Most interventions were culturally-adapted (69.2%), all studies reported collaboration with stakeholders, yet only half used strategies that acknowledged SDoH (46.2%). To increase our understanding of the underlying mechanisms by which family-based approaches can reach and engage Hispanic youth and families, future studies should rigorously evaluate theoretical constructs, family processes, and SDoH that influence program participation and health behaviors. This information will guide the design and development of future interventions aimed at reducing obesity disparities among Hispanic youth.

African American (AA) and Hispanic/Latina (HL) women report lower rates of physical activity (PA) and poorer dietary habits compared to their white counterparts. Religiosity can act as a protective factor for health; however, the relationship between religiosity, PA, and diet is unclear. This study aimed to investigate the influence of religiosity on PA and fruit and vegetable (FV) and fat consumption in minority women. Health is Power (HIP) was a 6-month intervention where participants (AA: 63%; HL: 37%) were randomized to a PA or FV group. Questionnaires assessed religiosity at baseline and PA, FV and fat consumption at baseline and post-intervention. Hierarchical linear regression models were used to investigate religiosity as a predictor of change in PA, FV and fat, while controlling for demographics. AA women had significantly higher religiosity scores (M = 44.15, SD = 10.66) compared to H/L women (M = 35.11, SD = 12.82; t(251) = 5.86, p < 0.001). Across both groups, PA increased by 15%, FV intake increased by 27%, and consumption of calories by fat decreased by 5%. Religiosity was not a significant predictor of PA or diet (p < 0.05). The results of this study found no association between religiosity and change in PA and diet. More longitudinal studies are needed to explore the role of religiosity in the health of minority women.

Physical activity (PA) public health programming has been widely used in Mexico; however, few studies have documented individual and organizational factors that might be used to evaluate their public health impact. The RE-AIM framework is an evaluation tool that examines individual and organizational factors of public health programs. The purpose of this study was to use the RE-AIM framework to determine the degree to which PA programs in Mexico reported individual and organizational factors and to investigate whether reporting differed by the program’s funding source. Public health programs promoting PA were systematically identified during 2008–2013 and had to have an active program website. Initial searches produced 23 possible programs with 12 meeting inclusion criteria. A coding sheet was developed to capture behavioral, outcome and RE-AIM indicators from program websites. In addition to targeting PA, five (42%) programs also targeted dietary habits and the most commonly reported outcome was change in body composition (58%). Programs reported an average of 11.1 (±3.9) RE-AIM indicator items (out of 27 total). On average, 45% reported reach indicators, 34% reported efficacy/effectiveness indicators, 60% reported adoption indicators, 40% reported implementation indicators, and 35% reported maintenance indicators. The proportion of RE-AIM indicators reported did not differ significantly for programs that were government supported (M = 10, SD = 3.1) and programs that were partially or wholly privately or corporately supported (M = 12.0, SD = 4.4). While reach and adoption of these programs were most commonly reported, there is a need for stronger evaluation of behavioral and health outcomes before the public health impact of these programs can be established.