Resilience to obesity among socioeconomically disadvantaged women: the READI study View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2012-06

AUTHORS

K Ball, G Abbott, V Cleland, A Timperio, L Thornton, G Mishra, R W Jeffery, J Brug, A King, D Crawford

ABSTRACT

OBJECTIVE: This cross-sectional study aimed to identify sociodemographic and behavioural characteristics of 'overweight-resilient' women, that is, women who were in a healthy body weight range, despite living in socioeconomically disadvantaged neighbourhoods that place them at increased risk of obesity. The study also aimed to test a comprehensive theoretically derived model of the associations between intrapersonal, social and environmental factors and obesity among this target group. PARTICIPANTS: A total of 3235 women aged 18-45 years from 80 urban and rural neighbourhoods throughout Victoria, Australia, participated in the Resilience for Eating and Activity Despite Inequality study. MEASUREMENTS: Women reported height, weight, sociodemographic characteristics, leisure-time physical activity, dietary behaviours and a range of theoretically derived cognitive, social and neighbourhood environmental characteristics hypothesized to influence obesity risk. A theoretical model predicting body mass index (BMI) was tested using structural equation models. RESULTS: Women classified as 'resilient' to obesity tended to be younger, born overseas, more highly educated, unmarried and to have higher or undisclosed household incomes. They engaged in more leisure-time physical activity and consumed less fast foods and soft drinks than overweight/obese women. Neighbourhood characteristics, social characteristics and cognitive characteristics all contributed to explaining variation in BMI in the hypothesized directions. CONCLUSIONS: These results demonstrate several characteristics of women appearing 'resilient' to obesity, despite their increased risk conferred by residing in socioeconomically disadvantaged neighbourhoods. Acknowledging the cross-sectional study design, the results advance theoretical frameworks aimed at investigating obesity risk by providing evidence in support of a comprehensive model of direct and indirect effects on obesity of neighbourhood, as well as social, cognitive and behavioural characteristics. More... »

PAGES

855

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/ijo.2011.183

DOI

http://dx.doi.org/10.1038/ijo.2011.183

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1012061043

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/21931326


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