Association between HDL-C levels and menopause: a meta-analysis

Author:

Li Hongwei,Sun Runlu,Chen Qian,Guo Qi,Wang Junjie,Lu Liming,Zhang YulingORCID

Abstract

Abstract Purpose Menopause modifies women’s lipid profiles. However, the fact that it is still unclear whether high-density lipoprotein-cholesterol (HDL-C) levels decrease in postmenopausal women necessitated a systematic review and meta-analysis. Methods The PubMed, EMBASE, Cochrane Library, and Web of Science databases were searched and 498 articles published between 1987 and 2020 were retrieved. Studies reporting HDL-C, low-density lipoprotein-cholesterol (LDL-C), total cholesterol (TC), and triglyceride (TG) levels in both postmenopausal and premenopausal populations were included. The quality of the included studies was assessed using the Cross-Sectional/Prevalence Study Quality tool. The standard mean difference (SMD) and 95% confidence interval (CI) were estimated using random effects models. A meta-regression analysis and subgroup analysis were performed to identify potential modifiers. Egger’s test and funnel plots were constructed to evaluate publication biases. Results Lipid profiles from 18 cross-sectional studies and two cohort studies including 5652 postmenopausal women and 7825 premenopausal women were meta-analyzed. HDL-C levels were not significantly different between the postmenopausal and premenopausal women (SMD = − 0.053, 95% CI − 0.171 to 0.066, p = 0.383) and were not affected by country, publication year, study quality in the meta-regression analysis, or significant publication bias. Higher LDL-C, TC, and TG levels were detected in postmenopausal women than in premenopausal controls. Conclusion Unlike increased LDL-C, TC, and TG levels, HDL-C levels in pre- and postmenopausal women were not different in this first meta-analysis of lipid profiles in premenopausal and postmenopausal women. Prospective studies with large populations examining HDL-C levels and functions in women with different menopausal statuses are essential in the future. Trial registration number None.

Funder

the Natural Science Foundation of China

the Key S&T Special Project of Guangzhou

the Yat-sen Scientific Research Launching Project

Publisher

Springer Science and Business Media LLC

Subject

General Medicine,Endocrinology, Diabetes and Metabolism

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