Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/5716
Title: The prevalence of depression in menopausal women in China: A meta-analysis of observational studies
Authors: Zeng, Liangnan 
Yang, Yuan 
Feng, Yuan 
Dr. CUI Xiling, Celine 
Wang, Rixin 
Hall, Brian J. 
Ungvári, Gábor Sándor 
Chen, Ligang 
Xiang, Yu-Tao 
Issue Date: 2019
Source: Journal of Affective Disorders, 2019, vol. 256, pp. 337-343.
Journal: Journal of Affective Disorders 
Abstract: Objective Depressive symptoms (depression thereafter) are common among menopausal women but findings across studies have been inconsistent. This meta-analysis examined the pooled prevalence of depression among Chinese menopausal women. Methods Two investigators independently searched both international (PubMed, EMBASE and PsycINFO) and Chinese (CNKI, WanFang, SinoMed and VIP) databases from their inception date until 9 April 2019. Studies that reported the prevalence of depression as measured by the Hamilton Depression Scale (HAMD) were pooled using a random-effects model. Results Twenty-three cross-sectional studies were included in the meta-analysis. The pooled prevalence of depression in menopausal Chinese women was 36.3% (95% CI: 27.5–45.1%), with mild depression of 18.6% (95% CI: 13.4–23.8%), moderate depression of 15.3% (95% CI: 9.4–21.3%), and severe depression of 3.7% (95% CI: 1.9–5.5%). Meta-regression analyses revealed that older age (B = 0.12, z = 8.18, p < 0.001) and better study quality (B = 0. 24, z = 8.33, p < 0.001) was significantly associated with higher depression prevalence. Conclusions Depression is common among menopausal Chinese women. Due to its negative impact on health, regular screening and effective treatments should be developed for this population.
Type: Peer Reviewed Journal Article
URI: http://hdl.handle.net/20.500.11861/5716
ISSN: 0165-0327
DOI: 10.1016/j.jad.2019.06.017
Appears in Collections:Business Administration - Publication

Show full item record

SCOPUSTM   
Citations

28
checked on Jan 3, 2024

Page view(s)

113
Last Week
9
Last month
checked on Jan 3, 2024

Google ScholarTM

Impact Indices

Altmetric

PlumX

Metrics


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.