Changes in Obesity Odds Ratio among Iranian Adults, since 2000: Quadratic Inference Functions Method

Author:

Bakhshi Enayatollah1ORCID,Etemad Koorosh2,Seifi Behjat3,Mohammad Kazem4,Biglarian Akbar1,Koohpayehzadeh Jalil2

Affiliation:

1. Department of Biostatistics, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran

2. Center for Diseases Control, Ministry of Health and Medical Education, Tehran, Iran

3. Department of Physiology, Medicine School, Tehran University of Medical Sciences, Tehran, Iran

4. Department of Biostatistics, School of Public Health and Institute of Public Health Research, Tehran University of Medical Sciences, Tehran, Iran

Abstract

Background.Monitoring changes in obesity prevalence by risk factors is relevant to public health programs that focus on reducing or preventing obesity. The purpose of this paper was to study trends in obesity odds ratios (ORs) for individuals aged 20 years and older in Iran by using a new statistical methodology.Methods.Data collected by the National Surveys in Iran, from 2000 through 2011. Since responses of the member of each cluster are correlated, the quadratic inference functions (QIF) method was used to model the relationship between the odds of obesity and risk factors.Results.During the study period, the prevalence rate of obesity increased from 12% to 22%. By using QIF method and a model selection criterion for performing stepwise regression analysis, we found that while obesity prevalence generally increased in both sexes, all ages, all employment, residence, and smoking levels, it seems to have changes in obesity ORs since 2000.Conclusions.Because obesity is one of the main risk factors for many diseases, awareness of the differences by factors allows development of targets for prevention and early intervention.

Publisher

Hindawi Limited

Subject

Applied Mathematics,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Modelling and Simulation,General Medicine

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