Residential College | false |
Status | 已發表Published |
Prevalence of Depression Among Empty-Nest Elderly in China: A Meta-Analysis of Observational Studies | |
Zhang,Hong He1; Jiang,Yuan Yuan2,3; Rao,Wen Wang2,3; Zhang,Qing E.4; Qin,Ming Zhao5; Ng,Chee H.6; Ungvari,Gabor S.7,8; Xiang,Yu Tao2,3 | |
2020-07-07 | |
Source Publication | Frontiers in Psychiatry |
ISSN | 1664-0640 |
Volume | 11Pages:608 |
Abstract | Background: Depressive symptoms are common in empty-nest elderly in China, but the reported prevalence rates across studies are mixed. This is a meta-analysis of the pooled prevalence of depressive symptoms (depression hereafter) in empty-nest elderly in China. Methods: Two investigators independently conducted a systematic literature search in both English (PubMed, EMBASE, PsycINFO, Web of Science, and Cochrane Library) and Chinese (CNKI and Wan Fang) databases. Data were analyzed using the Comprehensive Meta-Analysis program. Results: A total of 46 studies with 36,791 subjects were included. The pooled prevalence of depression was 38.6% (95%CI: 31.5–46.3%). Compared with non-empty-nest elderly, empty-nest elderly were more likely to suffer from depression (OR=2.0, 95%CI: 1.4 to 2.8, P<0.001). Subgroup and meta-regression analyses revealed that mild depression were more common in empty-nest elderly than moderate or severe depression (P<0.001). In addition, living alone (P=0.002), higher male proportion (β=0.04, P<0.001), later year of publication (β=0.09, P<0.001) and higher study quality score (β=0.62, P<0.001) were significantly associated with higher prevalence of depression. Conclusion: In this meta-analysis, the prevalence of depression in empty-nest elderly was high in China. Considering the negative impact of depression on health outcomes and well-being, regular screening and appropriate interventions need to be delivered for this vulnerable segment of the population. |
Keyword | China Depression Elderly Empty-nest Meta-analysis |
DOI | 10.3389/fpsyt.2020.00608 |
URL | View the original |
Indexed By | SCIE ; SSCI |
Language | 英語English |
WOS Research Area | Psychiatry |
WOS Subject | Psychiatry |
WOS ID | WOS:000553374900001 |
Scopus ID | 2-s2.0-85088459936 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | Faculty of Health Sciences INSTITUTE OF COLLABORATIVE INNOVATION Institute of Translational Medicine |
Co-First Author | Zhang,Hong He; Jiang,Yuan Yuan; Rao,Wen Wang |
Corresponding Author | Xiang,Yu Tao |
Affiliation | 1.Department of Psychiatry,Xiamen Xianyue Hospital,Xiamen,China 2.Unit of Psychiatry,Faculty of Health Sciences,Institute of Translational Medicine,University of Macau,Macao 3.Center for Cognition and Brain Sciences,University of Macau,Macao 4.The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection,Capital Medical University,School of Mental Health,Beijing,China 5.Department of Geriatric Medicine,Beijing Tongren Hospital,Capital Medical University,Beijing,China 6.Department of Psychiatry,The Melbourne Clinic and St Vincent’s Hospital,University of Melbourne,Richmond,Australia 7.Division of Psychiatry,School of Medicine,University of Western Australia,Perth,Australia 8.University of Notre Dame Australia,Fremantle,Australia |
Corresponding Author Affilication | Faculty of Health Sciences; University of Macau |
Recommended Citation GB/T 7714 | Zhang,Hong He,Jiang,Yuan Yuan,Rao,Wen Wang,et al. Prevalence of Depression Among Empty-Nest Elderly in China: A Meta-Analysis of Observational Studies[J]. Frontiers in Psychiatry, 2020, 11, 608. |
APA | Zhang,Hong He., Jiang,Yuan Yuan., Rao,Wen Wang., Zhang,Qing E.., Qin,Ming Zhao., Ng,Chee H.., Ungvari,Gabor S.., & Xiang,Yu Tao (2020). Prevalence of Depression Among Empty-Nest Elderly in China: A Meta-Analysis of Observational Studies. Frontiers in Psychiatry, 11, 608. |
MLA | Zhang,Hong He,et al."Prevalence of Depression Among Empty-Nest Elderly in China: A Meta-Analysis of Observational Studies".Frontiers in Psychiatry 11(2020):608. |
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