Objective: Conducting exploratory factor analysis (EFA) with the existing home environment assessment - the Comprehensive Home Environment Survey (CHES), to identify scales related to food parenting practices. Methods: Parents of 3- to 5-year-old children (n = 172) completed the CHES surveys. After selected items from CHES were categorized into food parenting practice constructs, EFA was used to identify potential subconstructs. Internal consistency and Spearman correlation analysis were also conducted. Results: The EFAs identified 4 factors within the structure, 4 within coercive control, and 2 within autonomy support. Conclusions and Implications: The results provided preliminary evidence and support that the CHES can be used to measure food parenting practices. The study was limited to a small sample of non-Hispanic White and highly educated participants, less identified items within autonomy support, and lower internal consistency for several identified factors. Confirmatory factor analysis in a larger and more diverse sample is needed for future research.

Previous evidence suggests that children’s eating behaviors were largely influenced by the parent and home eating structure. This study examined the relationship between parenting styles (including authoritative, authoritarian, indulgent, and uninvolved), food parenting practices (within Structure, Coercive Control, and Autonomy Support constructs) and dietary intakes of preschoolers. Children aged 3–5 years and their parents were recruited from preschools/daycare centers and parents completed the surveys (n = 166). Dietary intakes were collected using the Harvard Service Food Frequency Questionnaire (HSFFQ), parenting style was assessed using the Parenting Dimensions Inventory-Short Version (PDI-S), and food parenting practices were measured using Comprehensive Home Environment Survey (CHES). The results showed that food parenting practices had a higher number of specific significant findings on children’s nutrient and food group intakes than parenting styles. Correlation analyses showed positive parenting practices within Structure were significantly related to healthier children’s intakes (e.g., vegetables, iron, and folate) and less unhealthy dietary intakes (e.g., sweets and total fats). Regression models show that children with authoritative parents consumed more fruits compared to children with authoritarian parents and indulgent parents. The results addressed the importance of parental influences for preschoolers’ healthy dietary intakes, which suggested that future interventions and educational programs could enhance parenting practices to impact child diet.

Objective Assess environmental support of physical activity (PA) in rural areas and determine whether there is a correlation between the measured environment for PA and participant perceptions of the environment for PA. Design The PA environment was assessed using the Active Neighborhood Checklist (ANC) and the Physical Activity Resource Assessment (PARA). Youth behavior and perceptions related to PA and the local environment were assessed using 5 questions from previously validated tools. Setting Four rural low-income communities in South Dakota and Kansas. Participants Sixth- through eighth-grade youth. Variables Measured Physical Activity Resource Assessment, ANC, behavior, and perception. Analysis The authors used ANOVA to determine whether there were differences in ANC, PARA, and Perception of the Environment scores among communities. Pearson correlations were used to assess associations between ANC and student perception of the environment and PARA and student perception of the environment. Results There were no differences in total ANC or total PARA among communities. Perception was weakly correlated with total ANC (multivariate coefficient, 0.016; P = .026; n = 308) but not total PARA. Conclusions and Implications Perception of PA in rural communities may not match objective measures. Future research should work toward refining and improving existing environmental audit tools and developing new, comprehensive, location-specific tools.