The influence of rural home and neighborhood environments on healthy eating, physical activity, and weight.

Auteur(s) :
Glanz K., Kegler MC., Alcantara I., Swan DW., Feldman AL.
Date :
Fév, 2014
Source(s) :
PREV SCI. #15:1 p1-11
Adresse :
Department of Behavioral Sciences and Health Education, Emory Prevention Research Center, Rollins School of Public Health, Emory University, 1518 Clifton Road NE, Atlanta, GA, 30322, USA, [email protected].

Sommaire de l'article

Despite the recognition that environments play a role in shaping physical activity and healthy eating behaviors, relatively little research has focused on rural homes and neighborhoods as important settings for obesity prevention. This study, conducted through community-based participatory research, used a social ecological model to examine how home and neighborhood food and physical activity environments were associated with weight status among rural-dwelling adults. Data were from a cross-sectional survey of White and African American adults (n = 513) aged 40-70 years living in rural southwest Georgia. Data were analyzed using measured variable path analysis, a form of structural equation modeling. The results support a social ecological approach to obesity prevention. Physical activity had a direct effect on BMI; self-efficacy, family support for physical activity, and household inventory of physical activity equipment also had direct effects on physical activity. Neighborhood walkability had an indirect effect on physical activity through self-efficacy and family social support. Although neither fruit and vegetable intake nor fat intake had direct effects on BMI, self-efficacy and household food inventories had direct effects on dietary behavior. Perceived access to healthy foods in the neighborhood had an indirect effect on healthy eating and a direct effect on weight; neighborhood cohesion had an indirect effect on healthy eating through self-efficacy. Overall, individual factors and home environments tended to exhibit direct effects on behavior, and neighborhood variables more often exhibited an indirect effect.

Source : Pubmed
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