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Resilience to obesity among socioeconomically disadvantaged women : the READI study Ball, K., Abbott, G., Cleland, V., Timperio, A, Thornton, L., Mishra, G., Jeffery, R. W., Brug, J., King, A. and Crawford, D. 2012, Resilience to obesity among socioeconomically disadvantaged women : the READI study, International journal of obesity, vol. 36, no. 6, pp. 855-865. Attached Files Name Description MIMEType Size Downloads ball-resilenceto-2012.pdf Author's post print application/pdf 275.97KB 19 Title Resilience to obesity among socioeconomically disadvantaged women : the READI study Author(s) Ball, K. Abbott, G. Cleland, V. Timperio, A Thornton, L. Mishra, G. Jeffery, R. W. Brug, J. King, A. Crawford, D. Journal name International journal of obesity Volume number 36 Issue number 6 Start page 855 End page 865 Total pages 11 Publisher Nature Publishing Group Place of publication London, England Publication date 2012-06 ISSN 0307-0565 Keyword(s) obesity risk factors structural equation models socioeconomic disadvantage Summary 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. Language eng Field of Research 111199 Nutrition and Dietetics not elsewhere classified Socio Economic Objective 920411 Nutrition HERDC Research category C1 Refereed article in a scholarly journal Copyright notice ©2012, Nature Publishing Group Persistent URL http://hdl.handle.net/10536/DRO/DU:30046266 Document type: Journal Article Collections: School of Exercise and Nutrition Sciences Centre for Physical Activity and Nutrition Research Open Access Collection Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Thu, 26 Jul 2012, 14:50:33 EST Thu, 02 Aug 2012, 10:05:45 EST Thu, 02 Aug 2012, 10:12:24 EST Thu, 02 Aug 2012, 10:13:43 EST Thu, 02 Aug 2012, 10:14:39 EST Mon, 23 Sep 2013, 09:36:58 EST Fri, 24 Jan 2014, 14:49:51 EST Mon, 12 May 2014, 15:21:01 EST Wed, 02 Jul 2014, 16:26:47 EST Filtered Full Citation counts:   Cited 7 times in TR Web of Science Cited 7 times in Scopus Search Google Scholar Access Statistics: 131 Abstract Views, 24 File Downloads  -  Detailed Statistics Created: Thu, 26 Jul 2012, 14:50:15 EST by Jane Moschetti

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.