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Original Article

Metabolic syndrome in menopause and associated factors: a meta-analysis

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Pages 583-591 | Received 31 Aug 2017, Accepted 27 Sep 2017, Published online: 24 Oct 2017
 

Abstract

Objective: Metabolic syndrome (MetS) is a cluster of risk factors for cardiovascular disease and diabetes. Menopause is associated with an increased risk for MetS. The purpose of this meta-analysis is to better understand the relationship between MetS and menopause.

Methods: MEDLINE and EMBASE were searched for all the associated articles on (1) MetS components in postmenopausal women vs. premenopausal women, (2) comparison of MetS incidence between surgical menopause and natural menopause, (3) the effect of hormone therapy (HT) with 17β-estradiol (E2) compared to conjugated equine estrogen (CEE) on MetS components among postmenopausal women. A meta-analysis was applied by Review Manager 5.3 software.

Results: All comparable indicators were significantly unfavorably changed in postmenopausal women compared to premenopausal women except for high density lipoprotein cholesterol. Women who underwent surgical menopause suffered a 1.51-fold higher risk for MetS compared to those with natural menopause. HT with E2 provided more benefits for levels of triglyceride and diastolic blood, while CEE showed a better effect on both high and low density lipoprotein cholesterol levels.

Conclusions: Menopause nearly adversely affects all components of MetS, and surgical menopause may lead to a higher incidence of MetS compared to natural menopause. HT with various preparations may have different effects on MetS components. These results may clarify the management of menopause-related MetS in clinical practice.

Conflict of interest

All authors report no conflict of interest. The authors alone are responsible for the content and writing of this paper.

Source of funding

This study was supported by a project funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions and Jiangsu innovation team project (CXTDA2017004).

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