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Muckenhuber, JM; Dorner, TE; Burkert, N; Groschadl, F; Freidl, W.
Low Social Capital as a Predictor for the Risk of Obesity
HEALTH SOC WORK. 2015; 40(2): E51-E58. Doi: 10.1093/hsw/hlv019
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Führende Autor*innen der Med Uni Graz
Muckenhuber Johanna
Co-Autor*innen der Med Uni Graz
Burkert Nathalie
Dorner Thomas
Freidl Wolfgang
Großschädl Franziska
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Abstract:
Previous research has shown health behavior, socioeconomic status (SES), and environmental factors to be risk factors for obesity. Social capital has been defined as current or possible social resources a person has access to. The purpose of this study was to investigate the relationship between social capital and obesity. An adjusted binary logistic regression model was used to test the association of social capital with obesity. Data came from a subsample of the Austrian Health Interview Survey (2006-2007) with 9,615 participants. In a model adjusted for age, income, education, migration status, physical activity, and eating habits, the odds ratio of being obese was 1.47 (95 percent confidence interval [CI] = 1.17-1.86) for women with the lowest social capital compared with women in the highest social capital quintile. For men, the corresponding value was 1.58 (95% CI = 1.19-2.11). Results show that low social capital is associated with a high risk of being obese, even after adjustment of the SES and lifestyle factors. This fact could have an impact on prevention and on the treatment of obesity. Policies to enhance the improvement of neighborhoods and to support individuals' social capital should be implemented.

Find related publications in this database (Keywords)
exercise
gender differences
obesity
social capital
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