Literature DB >> 29891195

The prevalence of metabolic syndrome in postmenopausal women: A systematic review and meta-analysis in Iran.

Fariba Ebtekar1, Sahar Dalvand2, Reza Ghanei Gheshlagh3.   

Abstract

Metabolic syndrome is a set of cardiovascular risk factors that increase the risk of cardiovascular disease, diabetes and mortality. Women are at risk of developing metabolic syndrome as they enter the postmenopausal period. The present systematic review and meta-analysis was conducted to estimate the prevalence of metabolic syndrome in Iranian postmenopausal women. In this systematic review and meta-analysis, 16 national articles published in Persian and English were gathered without time limit. National databases such as SIDs, IranMedex and MagIran, and international databases such as Web of Science, Google Scholar, PubMed and Scopus were used to search the relevant studies. We searched for articles using the keywords "menopause", "postmenopausal", "metabolic syndrome", "MetSyn", and their combinations. Data were analyzed using the meta-analysis method and the random effects model. Analysis of 16 selected articles with a sample size of 5893 people showed that the prevalence of metabolic syndrome in Iranian postmenopausal women was 51.6% (95% CI: 43-60). The prevalence of metabolic syndrome based on ATP III and IDF criteria was 54% (95% CI: 59-63) and 50% (95% CI: 45-56), respectively. Based on the results of univariate meta-regression analysis, the increase in the mean age of postmenopausal women (p = 0.001) and sample size (p = 0.029), the prevalence of metabolic syndrome increased significantly. More than half of postmenopausal women in Iran suffer from metabolic syndrome. Providing training programs for postmenopausal women to prevent and control cardiovascular disease and its complications seems to be necessary.
Copyright © 2018 Diabetes India. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Menopause; Meta-analysis; Metabolic syndrome

Mesh:

Year:  2018        PMID: 29891195     DOI: 10.1016/j.dsx.2018.06.002

Source DB:  PubMed          Journal:  Diabetes Metab Syndr        ISSN: 1871-4021


  7 in total

1.  Sex-specific prevalence of metabolic syndrome in older adults: results from the Neyshabur longitudinal study on aging, Iran.

Authors:  Mohsen Azimi-Nezhad; Nayyereh Aminisani; Ahmad Ghasemi; Azam Rezaei Farimani; Fatemeh Khorashadizadeh; Seyed Reza Mirhafez; Martin Hyde; Seyed Morteza Shamshirgaran
Journal:  J Diabetes Metab Disord       Date:  2022-01-17

2.  Menopause and metabolic syndrome in the Middle East countries; a systematic review and meta-analysis study.

Authors:  Ozra Tabatabaei-Malazy; Shirin Djalalinia; Hamid Asayesh; Yalda Shakori; Mohammad Esmaeili Abdar; Morteza Mansourian; Armita Mahdavi Gorabi; Mehdi Noroozi; Mostafa Qorbani
Journal:  J Diabetes Metab Disord       Date:  2018-11-27

3.  Prevalence of poststroke depression in Iranian patients: a systematic review and meta-analysis.

Authors:  Sahar Dalvand; Reza Ghanei Gheshlagh; Amanj Kurdi
Journal:  Neuropsychiatr Dis Treat       Date:  2018-11-13       Impact factor: 2.570

4.  Prevalences of metabolic syndrome and its sex-specific association with socioeconomic status in rural China: a cross-sectional study.

Authors:  Xuhua Ying; Shuyue Yang; Songtao Li; Meifang Su; Na Wang; Yue Chen; Qingwu Jiang; Chaowei Fu
Journal:  BMC Public Health       Date:  2021-11-06       Impact factor: 3.295

5.  Prevalence of Metabolic Syndrome in Patients With Rheumatoid Arthritis: An Updated Systematic Review and Meta-Analysis.

Authors:  Wei Cai; Xuemi Tang; Min Pang
Journal:  Front Med (Lausanne)       Date:  2022-04-08

6.  Association of Oxidative Balance Score with the Metabolic Syndrome in a Sample of Iranian Adults.

Authors:  Zahra Noruzi; Ahmad Jayedi; Mena Farazi; Elaheh Asgari; Fatemeh Dehghani Firouzabadi; Zahra Akbarzadeh; Kurosh Djafarian; Sakineh Shab-Bidar
Journal:  Oxid Med Cell Longev       Date:  2021-05-26       Impact factor: 6.543

Review 7.  Menopause-Associated Lipid Metabolic Disorders and Foods Beneficial for Postmenopausal Women.

Authors:  Seong-Hee Ko; Hyun-Sook Kim
Journal:  Nutrients       Date:  2020-01-13       Impact factor: 5.717

  7 in total

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