Dataset Information

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

ABSTRACT: 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.

SUBMITTER: Djalalinia S

PROVIDER: S-EPMC7055062 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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

Djalalinia Shirin S Saeedi Moghaddam Sahar S Sheidaei Ali A Rezaei Nazila N Naghibi Iravani Seyed Sina SS Modirian Mitra M Zokaei Hossein H Yoosefi Moein M Gohari Kimiya K Kousha Ahmad A Abdi Zhaleh Z Naderimagham Shohreh S Soroush Ahmad Reza AR Larijani Bagher B Farzadfar Farshad F

Frontiers in endocrinology 20200226

<b>Background:</b> 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. <b>Methods:</b> This was a large-scale national cross-sectional study of Non-communicable Diseases risk factor surveillance in Iran. Through a systematic random samp ...[more]

PMID: 32174887

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Project description:BackgroundAtherosclerotic Cardiovascular Disease (CVD) is the leading cause of death globally and dyslipidemia plays a critical role in the development of this condition. This study aimed to analyze the potential impact of socioeconomic factors on the prevalence of dyslipidemia at district level in Iran. Understanding these factors is important for development of future risk factor control programs.MethodsWe used the nationwide Iran STEPwise approach to risk factor Surveillance (STEPS) 2016 survey as a representative dataset on the Non-Communicable Diseases (NCDs) risk factors in Iran. To obtain a district level dyslipidemia estimates, we utilized the small area estimation method with a Bayesian spatial hierarchical multilevel regression and multilevel mixed models. The principal component analysis was applied to derive household wealth index. For evaluation of education, successful years of schooling was calculated at district level. Urbanization ratio was defined as the proportion of residents in the urban area to the urban and rural areas for each district.ResultsThe highest difference was found for hypercholesterolemia coverage with 9.11 times difference among the lowest and highest prevalence across the country's district for males. Men with lower income, lower urbanization, and lower education levels had lower values of high-density lipoprotein (HDL) cholesterol, and higher level of hypercholesterolemia, and hypertriglyceridemia (P-value < 0.001). Triglyceride levels were directly correlated with all analyzed socioeconomic factors in both females and males (P-value < 0.001).ConclusionWe demonstrated that there is an inverse relationship between socioeconomic levels and dyslipidemia indices as populations with higher socioeconomic levels consistently had higher mean dyslipidemia levels. Our findings provide an excellent fundamental framework for healthcare administrators and policymakers to set goals and pursue effective preventive strategies.Supplementary informationThe online version contains supplementary material available at 10.1007/s40200-022-01027-x.

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Dataset Information

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

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

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