Data_Sheet_4_Patterns of Obesity and Overweight in the Iranian Population: Findings of STEPs 2016.PDF (12.45 MB)

Data_Sheet_4_Patterns of Obesity and Overweight in the Iranian Population: Findings of STEPs 2016.PDF

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posted on 26.02.2020, 12:16 by Shirin Djalalinia, Sahar Saeedi Moghaddam, Ali Sheidaei, Nazila Rezaei, Seyed Sina Naghibi Iravani, Mitra Modirian, Hossein Zokaei, Moein Yoosefi, Kimiya Gohari, Ahmad Kousha, Zhaleh Abdi, Shohreh Naderimagham, Ahmad Reza Soroush, Bagher Larijani, Farshad Farzadfar

Background: Obesity has become a common health problem all over the world. Benefiting from a national representative sample, the present study aimed to estimate the prevalence of overweight/obesity and the distribution of Body Mass Index (BMI) levels in the Iranian adult population, by sex, age, and geographical distribution.

Methods: This was a large-scale national cross-sectional study of Non-communicable Diseases risk factor surveillance in Iran. Through a systematic random sampling cluster, 31,050 Iranian adult participants aged 18 years and over were enrolled in the study. The main research tools were used to assess three different levels of data, namely: (1) demographic, epidemiologic, and risk-related behavioral data, (2) physical measurements, and (3) lab measurements. Anthropometric measurements were taken using standard protocols and calibrated instruments.

Results: In 2016, the national prevalence rates of normal weight, obesity, and overweight/obesity among Iranian adults were, 36.7% (95% CI: 36.1–37.3), 22.7% (22.2–23.2), and 59.3% (58.7–59.9), respectively. There was a significant difference between the prevalence of obesity among males [15.3% (14.7–15.9)] and females [29.8% (29.0–30.5)] (p < 0.001). The 55–64 [31.5% (30.1–33.0)] and the 18–24 [8.3% (7.3–9.4)] year-old age groups had the highest and lowest prevalence of obesity, respectively. The results show a geographical pattern at provincial level, where the level of BMI increases among populations ranging from the southeastern to the northwestern regions of the country. The highest provincial prevalence of obesity was almost 2.5-fold higher than the lowest provincial prevalence.

Conclusion: We found a significant difference between the prevalence of obesity in males and females. Moreover, there was a considerable difference in the geographical pattern of the prevalence of obesity and overweight. Further evidence is warranted to promote strategies and interventions related to prevention and control of factors that are associated with weight gain.

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