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Association between food assistance program participation and overweight

Overview of attention for article published in Revista de Saúde Pública, October 2014
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Title
Association between food assistance program participation and overweight
Published in
Revista de Saúde Pública, October 2014
DOI 10.1590/s0034-8910.2014048005359
Pubmed ID
Authors

M Pia Chaparro, Antonio Bernabe-Ortiz, Gail G Harrison

Abstract

OBJECTIVE The objective of this study was to investigate the association between food assistance program participation and overweight/obesity according to poverty level. METHODS A cross-sectional analysis of data from 46,217 non-pregnant and non-lactating women in Lima, Peru was conducted; these data were obtained from nationally representative surveys from the years 2003, 2004, 2006, and 2008-2010. The dependent variable was overweight/obesity, and the independent variable was food assistance program participation. Poisson regression was used to stratify the data by family socioeconomic level, area of residence (Lima versus the rest of the country; urban versus rural), and survey year (2003-2006 versus 2008-2010). The models were adjusted for age, education level, urbanization, and survey year. RESULTS Food assistance program participation was associated with an increased risk of overweight/obesity in women living in homes without poverty indicators [prevalence ratio (PR) = 1.29; 95% confidence interval (CI) 1.06;1.57]. When stratified by area of residence, similar associations were observed for women living in Lima and urban areas; no associations were found between food assistance program participation and overweight/obesity among women living outside of Lima or in rural areas, regardless of the poverty status. CONCLUSIONS Food assistance program participation was associated with overweight/obesity in non-poor women. Additional studies are required in countries facing both aspects of malnutrition.

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Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 1 1%
Brazil 1 1%
Unknown 68 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 19%
Student > Bachelor 9 13%
Researcher 8 11%
Librarian 4 6%
Student > Ph. D. Student 4 6%
Other 11 16%
Unknown 21 30%
Readers by discipline Count As %
Medicine and Dentistry 18 26%
Nursing and Health Professions 10 14%
Social Sciences 6 9%
Psychology 3 4%
Economics, Econometrics and Finance 2 3%
Other 9 13%
Unknown 22 31%