Obesity and its socioeconomic determinants in Iran |
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| Affiliation: | 1. Louisiana State University, United States;2. The Catholic University of America, United States;3. Jackson Montgomery Veterans Administration Medical Center, United States;4. Duke University Medical Center, United States;1. Center for Wireless & Population Health Systems (CWPHS), Qualcomm Institute/Calit2, University of California, San Diego, 9500 Gilman Drive, Atkinson Hall, Dept 0811, La Jolla, CA 92093, USA;2. Department of Family & Preventive Medicine, University of California, San Diego, 9500 Gilman Drive, Dept 0628, La Jolla, CA 92093, USA;3. Graduate School of Public Health, San Diego State University, 5500 Campanile Drive, Hardy Tower 119, San Diego, CA 92182, USA;4. Rady Children''s Hospital, 3020 Children''s Way, San Diego, CA 92123, USA;5. Department of Pediatrics, University of California, San Diego, 3020 Children''s Way, MC 5109, La Jolla , CA 92093, USA;6. Department of Computer Science & Engineering, University of California, San Diego, 9500 Gilman Drive, Dept 0404, La Jolla, CA 92093, USA;7. Medical Genetics Division & Political Science Department, University of California, San Diego, 9500 Gilman Drive, Dept 0521, La Jolla, CA 92093, USA |
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| Abstract: | ObjectiveTo investigate the socioeconomic inequality of obesity and its determinants in Iran.MethodsData was from Iran's surveillance system for risk factors of non-communicable diseases which was conducted on 89,400 individuals aged 15–64 years in 2005. Principal component analysis was used to create a new variable for defining socioeconomic status of participants. We assessed inequality by calculating a slop index of inequality and concentration index for obesity. Oaxaca-Blinder decomposition analysis was used to determine the determinants of inequality.ResultsThe slop index of inequality and concentration index for obesity was −13.1 (95% Confidence Intervals [CI]: −16.3 to −9.8) percentage points and −0.123, respectively. The level of inequality varied widely between different provinces in Iran and was more severe in women and urban population. Obesity persisted in 20.2% (95% CI: 19.4–20.9) of the low-socioeconomic group and 11.0% (95% CI: 10.5–11.6) of the high-socioeconomic group. More than 90% of this gap was due to differences of independent variables (mainly age, gender and marital status) in two socioeconomic status groups.ConclusionsA pro-rich inequality existed in the obesity in Iran. Older age, female gender and rural residency contributed most to the economic inequality of obesity. |
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| Keywords: | Health surveys Health status disparities Inequality Iran Socioeconomic factors |
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