Literature DB >> 31202988

The prevalence of depression in menopausal women in China: A meta-analysis of observational studies.

Liang-Nan Zeng1, Yuan Yang2, Yuan Feng3, Xiling Cui4, Rixin Wang5, Brian J Hall6, Gabor S Ungvari7, Ligang Chen8, Yu-Tao Xiang9.   

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.
Copyright © 2019. Published by Elsevier B.V.

Entities:  

Keywords:  China; Depression; Menopause; Meta-analysis

Mesh:

Year:  2019        PMID: 31202988     DOI: 10.1016/j.jad.2019.06.017

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


  7 in total

Review 1.  Worldwide prevalence of suicide attempt in pregnant and postpartum women: a meta-analysis of observational studies.

Authors:  Wen-Wang Rao; Yuan Yang; Tian-Jiao Ma; Qinge Zhang; Gabor S Ungvari; Brian J Hall; Yu-Tao Xiang
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2020-11-16       Impact factor: 4.328

2.  Associations Between Consumption of Different Vegetable Types and Depressive Symptoms in Japanese Workers: A Cross-Sectional Study.

Authors:  Qiang Gong; Haruki Momma; Yufei Cui; Cong Huang; Kaijun Niu; Ryoichi Nagatomi
Journal:  Risk Manag Healthc Policy       Date:  2022-05-18

3.  Risk of Depression during Menopause in Women from Poland, Belarus, Belgium, and Greece.

Authors:  Katarzyna Krajewska-Ferishah; Agnieszka Kułak-Bejda; Agnieszka Szyszko-Perłowska; Andrei Shpakou; Katarzyna Van Damme-Ostapowicz; Antigoni Chatzopulu
Journal:  J Clin Med       Date:  2022-06-12       Impact factor: 4.964

4.  Gender Difference in the Prevalence of Insomnia: A Meta-Analysis of Observational Studies.

Authors:  Liang-Nan Zeng; Qian-Qian Zong; Yuan Yang; Ling Zhang; Yi-Fan Xiang; Chee H Ng; Li-Gang Chen; Yu-Tao Xiang
Journal:  Front Psychiatry       Date:  2020-11-20       Impact factor: 4.157

5.  Biopsychosocial risk factors of depression during menopause transition in southeast China.

Authors:  Ketan Chu; Jing Shui; Linjuan Ma; Yizhou Huang; Fan Wu; Fang Wei; Xingjun Meng; Jie Luo; Fei Ruan; Jianhong Zhou
Journal:  BMC Womens Health       Date:  2022-07-05       Impact factor: 2.742

6.  Prevalence and risk factors for depressive and anxiety symptoms in middle-aged Chinese women: a community-based cross-sectional study.

Authors:  Xueyin Wang; Gengli Zhao; Jiangli Di; Linhong Wang; Xiaosong Zhang
Journal:  BMC Womens Health       Date:  2022-07-29       Impact factor: 2.742

7.  Nrf2-BDNF-TrkB pathway contributes to cortical hemorrhage-induced depression, but not sex differences.

Authors:  Honglei Ren; Ranran Han; Xi Liu; Limin Wang; Raymond C Koehler; Jian Wang
Journal:  J Cereb Blood Flow Metab       Date:  2021-07-08       Impact factor: 6.960

  7 in total

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