Changes in Obesity Odds Ratio among Iranian Adults, since 2000: Quadratic Inference Functions Method.
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.
Department of Biostatistics, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.
Enayatollah
0000-0001-6566-9723
E
Bakhshi
Center for Diseases Control, Ministry of Health and Medical Education, Tehran, Iran.
Koorosh
K
Etemad
Department of Physiology, Medicine School, Tehran University of Medical Sciences, Tehran, Iran.
Behjat
B
Seifi
Department of Biostatistics, School of Public Health and Institute of Public Health Research, Tehran University of Medical Sciences, Tehran, Iran.
Kazem
K
Mohammad
Department of Biostatistics, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.
Akbar
A
Biglarian
Center for Diseases Control, Ministry of Health and Medical Education, Tehran, Iran.
Jalil
J
Koohpayehzadeh
D000328:Adult; D000368:Aged; D000465:Algorithms; D003430:Cross-Sectional Studies; D003625:Data Collection; D005260:Female; D006801:Humans; D007492:Iran / Q000453:epidemiology; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D009765:Obesity / Q000453:epidemiology*; D016017:Odds Ratio; D015995:Prevalence; D012044:Regression Analysis; D012111:Residence Characteristics; D012307:Risk Factors; D012907:Smoking; D012984:Software; D011795:Surveys and Questionnaires; D055815:Young Adult