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Using quadratic inference functions to determine the factors associated with obesity: findings from the STEPS Survey in Iran
Authors:Fereshteh Asgari  Akbar Biglarian  Behjat Seifi  Andisheh Bakhshi  Hamid Heidarian Miri  Enayatollah Bakhshi
Institution:1. Center for Diseases Control, Ministry of Health and Medical Education, Tehran, Iran;2. Department of Biostatistics, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran;3. Department of Physiology, Medicine School, Tehran University of Medical Sciences, Tehran, Iran;4. Department of Mathematics and Statistics, University of Strathclyde, Glasgow, UK;5. Department of Epidemiology, Shiraz University of Medical Sciences, Shiraz, Iran;1. Autonomic and Neuroendocrinological Laboratory, Dept. of Neurology, University Hospital Carl Gustav Carus, Dresden Fetscherstr. 74, 01307 Dresden, Germany;2. Research Group Neuro-Metabolism, Dept. of Neurology and Internal Medicine III, University Hospital Carl Gustav Carus, Dresden Fetscherstr. 74, 01307 Dresden, Germany;3. Lipoprotein Apheresis Center, Dept. of Internal Medicine III, University Hospital Carl Gustav Carus, Dresden Fetscherstr. 74, 01307 Dresden, Germany;1. Department of Andrology, Sexology & STDs, Faculty of Medicine, Cairo University, Cairo, Egypt;2. Department of Medical Biochemistry, Faculty of Medicine, Cairo University, Cairo, Egypt;3. Department of Andrology, Sexology & STDs, Faculty of Medicine, Beni Suef University, Beni Suef, Egypt;1. Lille Nord de France University, Medical School (Research Unit EA 2694), Lille, France;2. Gynecological Cancer Departement, Oscar Lambret Cancer Centre, Lille, France;3. Department of Digestive and Oncological Surgery, Claude Huriez University Hospital, Lille, France;4. SIRIC OncoLille Consortium, Lille, France;5. Clinical Research Unit, Oscar Lambret Cancer Centre, Lille, France;6. Department of Gynecology, Hopital Jeanne de Flandre, Lille, France;1. Unidad de Gestión Clínica de Medicina Intensiva, Hospital Universitario de Álava, Álava, España;2. Sección de Radiología Intervencionista, Hospital Universitario de Álava, Álava, España
Abstract:PurposeThe last study that had a representative sample of the Iranian population and examined the association between sociodemographic and lifestyle factors with obesity used data from the 1999 to 2000 National Health Survey in Iran. Concern about the increased prevalence of obesity has heightened interest in the association between varieties of these factors with obesity among Iranian households.MethodsData (20,917 adults) were taken from the 2009 STEPwise approach to Surveillance survey in Iran that was conducted under the supervision of World Health Organization. Using quadratic inference function, we evaluated the relation of age, sex, physical activity, serving of fruit and vegetable, employment status, smoking, and place of residence with obesity.ResultsUsing 20–30 years as the reference group, the obesity odds ratios (ORs) were 2.48, 3.79, 3.52, and 3.15 for ages 30–40, 40–50, 50–60, and 60+ years, respectively. Obesity OR for female was 2.63, compared with male. Obesity ORs for smokers and ex-smokers were 0.64 and 1.18, respectively, compared with nonsmokers. Among Iranian adult, obesity ORs for the moderate and vigorous physical activity were 0.99 and 0.90, respectively, compared with low level. The estimated odds of obesity were 46% higher for rural adults. Obesity ORs for public and private employed were 0.79 and 0.76, respectively, compared with unemployed.ConclusionsOur results may provide better insights of the factors associated with obesity and can be used as a basis to reinforce health programs to prevent obesity in Iran.
Keywords:GEE  BMI  Obesity
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