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Assessing Factors Related to Waist Circumference and Obesity: Application of a Latent Variable Model Publisher Pubmed



Dalvand S1 ; Koohpayehzadeh J2 ; Karimlou M1 ; Asgari F2 ; Rafei A2 ; Seifi B3 ; Niksima SH4 ; Bakhshi E1
Authors
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Authors Affiliations
  1. 1. Department of Biostatistics, University of Social Welfare and Rehabilitation Sciences, Tehran, 1985713834, Iran
  2. 2. Center for Diseases Control, Ministry of Health and Medical Education, Tehran, Iran
  3. 3. Department of Physiology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
  4. 4. Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran

Source: Journal of Environmental and Public Health Published:2015


Abstract

Background. Because the use of BMI (Body Mass Index) alone as a measure of adiposity has been criticized, in the present study our aim was to fit a latent variable model to simultaneously examine the factors that affect waist circumference (continuous outcome) and obesity (binary outcome) among Iranian adults. Methods. Data included 18,990 Iranian individuals aged 20-65 years that are derived from the third National Survey of Noncommunicable Diseases Risk Factors in Iran. Using latent variable model, we estimated the relation of two correlated responses (waist circumference and obesity) with independent variables including age, gender, PR (Place of Residence), PA (physical activity), smoking status, SBP (Systolic Blood Pressure), DBP (Diastolic Blood Pressure), CHOL (cholesterol), FBG (Fasting Blood Glucose), diabetes, and FHD (family history of diabetes). Results. All variables were related to both obesity and waist circumference (WC). Older age, female sex, being an urban resident, physical inactivity, nonsmoking, hypertension, hypercholesterolemia, hyperglycemia, diabetes, and having family history of diabetes were significant risk factors that increased WC and obesity. Conclusions. Findings from this study of Iranian adult settings offer more insights into factors associated with high WC and high prevalence of obesity in this population. © 2015 Sahar Dalvand et al.