The pattern of lipids and lipoproteins during the menopausal transition in Chinese women

Abstract

Objective To investigate changes in levels of lipids and lipoproteins in Chinese women during perimenopause and postmenopause as primary study endpoints, for the first time including lipoprotein(a).

Methods The retrospective study was performed in 1015 women without hormone therapy aged 34–76 years from 20 provinces of China who visited the Beijing Obstetrics & Gynecology hospital. Menopausal status was defined by the criteria of the 2011 Stages of Reproductive Aging Workshop.

Results Levels of total cholesterol, triglycerides and low density lipoprotein (LDL) cholesterol increased and that of high density lipoprotein (HDL) cholesterol decreased in the postmenopausal compared to the perimenopausal group. In the women with body mass index (BMI) ≥ 25 kg/m², total cholesterol and LDL cholesterol increased, HDL cholesterol decreased and changes in triglyceride levels were not significant. In the women with BMI < 25 kg/m², the increase in triglyceride levels during the transition was significant. Changes in lipoprotein(a), apolipoprotein A1 and apolipoprotein B were not significant. Comparing the groups with BMI ≥ 25 kg/m² vs. BMI < 25 kg/m², only the differences for apolipoprotein A1 and for triglycerides were significant. Triglycerides correlated positively with follicle stimulating hormone and BMI, and total cholesterol correlated positively with follicle stimulating hormone and age (all p < 0.05).

Conclusions Some changes in lipids can be related to menopausal status, some to increasing age, some to both; especially triglycerides and apolipoprotein A1 were found also to be related to BMI. Surprisingly lipoprotein(a) did not change either with increasing age or during the transition despite known possible interference with estrogenic status.

Keywords:

• Perimenopause
• postmenopause
• lipids
• metabolic patterns

Conflict of interest

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

Source of funding

This study received statistical support from Xingming Li, a statistical expert of the Capital Medical University, Beijing, China.

This study was supported by Foreign Technical and Administrative Talent Introduction Project in 2015, State Administration of Foreign Experts Affairs, the P.R. of China (GDJ20151100013); Beijing Municipality Health Technology High-level Talent (2014-2-016); Project of Discipline Leader, Beijing Obstetrics and Gynecology Hospital, Capital Medical University(2013-1); Beijing Nova Program (Z14111000180000).