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- Title
Socio-demographic determinants of obesity indexes in Iran: findings from a nationwide STEPS survey.
- Authors
Kolahi, Ali-Asghar; Moghisi, Alireza; Soleiman Ekhtiari, Yalda
- Abstract
Background: Overweight and obesity are considered as non-communicable diseases (NCDs) risk factors with increasing prevalence worldwide. This nationwide study aimed to determine the socio-demographic determinants of obesity indexes in Iran. Methods: This cross-sectional study was conducted based on data from the sixth round of nationwide STEPwise approach to surveillance (STEPS) survey in the 31 provinces of Iran in 2011. A total of 9878 people aged ≥20 years were selected using a multi-stage cluster sampling method. Data were collected through three steps questionnaire including ecological, physical and biochemical measurements. We assessed body mass index (BMI), waist circumference (WC) and waist-hip ratio (WHR) as the main indicators of obesity. Results: In this study, the weighted prevalence of overweight and obesity were 34.5% (95% CI: 33.6, 35.5) and 21.5% (95% CI: 20.7, 22.3), respectively. The mean ± standard deviation (SD) of BMI among men and women were 25.4±4.4 and 26.9±5.2 kg/m² respectively. Older age, living alone, having lower education level, being housewife or retired were associated with overweight and obesity (P < 0.05). Urbanization was positively associated with BMI and WC. Being obese or overweight was associated with having a history of type 2 diabetes mellitus (T2DM), hypertension (HTN) and cardiovascular diseases (CVDs). Conclusion: The prevalence of overweight in this study was less than global rate while it was vice versa for obesity prevalence. Some socio-demographic characteristics were identified as determinants of obesity which should be considered for planning preventive and control action plans.
- Subjects
IRAN; OBESITY complications; ANALYSIS of variance; CHI-squared test; CONFIDENCE intervals; QUESTIONNAIRES; RESEARCH funding; STATISTICAL sampling; STATISTICS; SURVEYS; T-test (Statistics); DATA analysis; CROSS-sectional method; DATA analysis software; DESCRIPTIVE statistics
- Publication
Health Promotion Perspectives, 2018, Vol 8, Issue 3, p187
- ISSN
2228-6497
- Publication type
Article
- DOI
10.15171/hpp.2018.25