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 |
Find@HKSYU Show full item record
SCOPUSTM
Citations
36
checked on Oct 6, 2024
Page view(s)
126
Last Week
0
0
Last month
checked on Oct 10, 2024
Google ScholarTM
Impact Indices
Altmetric
PlumX
Metrics
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.