Metabolic syndrome prevalence in the Iranian adult's general population and its trend: A systematic review and meta-analysis of observational studies. Issue 3 (May 2018)

• Record Type: Journal Article
• Authors: Mokhayeri, Yaser; Riahi, Seyed Mohammad; Rahimzadeh, Shadi; Pourhoseingholi, Mohammad Amin; Hashemi-Nazari, Seyed Saeed
• Is Part Of: Diabetes & metabolic syndrome. Volume 12:Issue 3(2018)
• Page Start: 441
• Page End: 453
• Publication Date: 2018-05
• Subjects: Metabolic syndrome -- Prevalence -- Systematic review -- Meta-analysis -- Iran; Diabetes -- Periodicals; Metabolism -- Disorders -- Periodicals; Diabetes Mellitus -- Periodicals; Metabolic Diseases -- Periodicals; Diabète -- Périodiques; Métabolisme, Troubles du -- Périodiques; Endocrinologie -- Périodiques; Diabète -- Physiopathologie -- Périodiques; Diabetes; Metabolism -- Disorders; Electronic journals; Periodicals; 616.462
• DOI: 10.1016/j.dsx.2017.12.023
• Languages: English
• ISSNs: 1871-4021

Abstract

Highlights: We assessed 15-year trend of metabolic syndrome (MetS) by gender and international definition in Iran—ATPIII and IDF criteria. Comparing the agreement between pooled estimates in NCEP ATPIII and IDF metabolic syndrome definitions by gender. Pooling the summary measure of enough studies on general population. During 15-year period (2000–2015) prevalence of MetS in both males and females showed decreasing trend. Abstract: Aims: Metabolic syndrome (MetS) is one of the most important predictors of CVD. Determining the trend of MetS, represents the trend of its components and consequently could forecast the incidence of related diseases particularly CVD. The main object of this study is describing the trend of MetS prevalence in both male and female. Materials and methods: Original research studies from March 21, 2005 to March 20, 2015 that were published in English database and Persian databases were included in the systematic review. The random effect model was used to estimate the pooled prevalence of MetS. Subgroup analyses, to portray the trend of MetS, conducted based on implementation year. Results: The total sample sizes for males using the criteria of ATP III and IDF were 30012 and 35064, and for female were 14572 and 16292. The pooled estimation of MetS prevalence in total, male, and female population according to ATP III was 28%, 23%, and 33%; for IDF definitions was 28%, 22%, and 33%. Moreover, according to meta-regression for ATP III the most important source of heterogeneity was mean age. Conclusion: The findings revealed the trend of MetS prevalence is declining although steady in the last 10 years.