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Journal of Public Health Advance Access published online on April 8, 2008
Journal of Public Health, doi:10.1093/pubmed/fdn024
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© The Author 2008, Published by Oxford University Press on behalf of Faculty of Public Health. All rights reserved

Sociodemographic and Smoking Associated with Obesity in Adult Women in Iran: Results from the National Health Survey


Enayatollah Bakhshi, PhD Student1
Mohammad Reza Eshraghian, PhD1
Kazem Mohammad, PhD1
Abbas Rahimi Foroushani, PhD1
Hojat Zeraati, PhD1
Akbar Fotouhi, PhD1
Fraidon Siassi, PhD2
Behjat Seifi, PhD Student3

1 Department of Biostatistics, School of Public Health and Institute of Public Health Research, Tehran University/Medical Sciences, Iran
2 Department of Nutrition, School of Public Health and Institute of Public Health Research, Tehran University/Medical Sciences, Iran
3 Department of Physiology, Medicine School, Tehran University/Medical Sciences, Iran


Address correspondence to Mohammad Reza Eshraghian, E-mail: eshraghian{at}yahoo.com


  Abstract

Background There is no study that had a sample size sufficient to study the association between sociodemographic and smoking with obesity in Iran. The goal was to investigate these associations in the Iranian women.

Methods Multivariate statistical techniques included 14 176 women between 20 and 69 years of age. Height and weight were measured rather than self-reported.

Results In Iranian adult women, obesity ORS for the moderate and high education were 0.78 and 0.41, respectively, compared with basic level. Using low economy index as the reference, Obesity ORS for the urban women were 1.29, 1.25 and 1.28 for the lower-middle, upper-middle and high groups, respectively. Obesity ORS for the rural women were 1.71, 1.71 and 2.02 for the lower-middle, upper-middle and high groups, respectively. Obesity OR was 0.48 for active workforce compared with inactive group. Obesity OR was 0.70 for smokers women compared with nonsmokers. Using non-married as the reference group, Obesity ORS were 1.23 and 2.34 for married urban and rural women, respectively.

Conclusions Our results on the associations between age, smoking, education level, workforce and obesity are consistent with most studies, but between economic level and obesity are consistent with some study in developing countries.

Keywords: obesity, sociodemographic factors, body mass index, odds ratio


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