Adolescents exposed to food and beverage advertisements (FBAs) typically low in nutrient density can be influenced in their food choices, eating behaviors, and health. This study examines the association between perceptions and trust of FBAs (key predictor) and the outcome of daily consumption of ultra-processed foods (UPFs) in parent-adolescent dyads, with risk of food insecurity as a potential moderator. Cross-sectional data from the Family, Life, Activity, Sun, Health and Eating (FLASHE) study was used to test actor and partner effects using structural equation modeling. The final model was adjusted for parent sex and education level, and effects were compared between dyads at risk of food insecurity (n = 605) and dyads not at risk (n = 1008). In the unadjusted model, actor effects (parent: b = 0.23, p = 0.001; adolescent b = 0.12, p = 0.001) and parent-partner effects were found (b = 0.08, p = 0.004). The final comparative model produced similar results for dyads not at risk of food insecurity (parent actor: b = 0.27, p = 0.001; parent partner: b = 0.10, p = 0.01; adolescent actor: b = 0.11, p = 0.003). For dyads at risk of food insecurity, only actor effects were significant (parent: b = 0.22, p = 0.001; adolescent: b = 0.11, p = 0.013). These findings suggest that parents’ favorability towards FBAs influence parent-adolescent unhealthy food consumption, and that this association is different when accounting for risk of food insecurity.
Family‐based nutrition programs have been used to support healthy eating; however, few programs emphasize parental roles in regard to food. The purpose of this study was to develop and test a family‐based curriculum with a parenting focus aimed at influencing child obesity risk. Qualitative data in the pilot implementation (cohort 1, n = 6 families with elementary‐aged children) suggested parent value for the following: positive messages, hands‐on learning, and group sharing. However, Family Nutrition and Physical Activity scores for cohorts 2–6 (n = 18 families) did not change significantly from pre‐ to postprogram. Future implementations will consider more robust ways of assessing change and recruiting participants at various stages of change.
Objective: To assess the clustering properties of residential urban food environment indicators across neighborhoods and to determine if clustering profiles are associated with diet outcomes among adults in Brooklyn, New York. Design: Cross-sectional. Setting: Five neighborhoods in Brooklyn, New York. Participants: Survey data (n=1,493) was collected among adults in Brooklyn, New York between April 2019 and September 2019. Data for food environment indicators (fast-food restaurants, bodegas, supermarkets, farmer’s markets, community kitchens, Supplemental Nutrition Assistance Program (SNAP) application centers, food pantries) was drawn from New York databases. Latent profile analysis (LPA) was used to identify individuals’ food access-related profiles, based on food environments measured by the availability of each outlet within each participant’s 800-meter buffer. Profile memberships were associated with dietary outcomes using mixed linear regression. Results: LPA identified four residential urban food environment profiles (with significant-high clusters ranging from 17-57 across profiles): Limited/low food access, (n = 587), bodega-dense (n = 140), food swamp (n = 254), and high food access (n = 512) profiles. Diet outcomes were not statistically different across identified profiles. Only participants in the limited/low food access profile were more likely to consume sugar-sweetened beverages (SSB) than those in the bodega-dense profile (b = .44, p < 0.05) in adjusted models. Conclusions: Individuals in limited and low food access neighborhoods are vulnerable to consuming significant amounts of SSBs compared to those in bodega-dense communities. Further research is warranted to elucidate strategies to improve fruit and vegetable consumption while reducing SSB intake within residential urban food environments.
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