Evidence map›Paper›PMID 32733289›Full record

SynthesisFrontiers in psychiatry2020

Prevalence of Depression Among Empty-Nest Elderly in China: A Meta-Analysis of Observational Studies.

Hong-He Zhang, Yuan-Yuan Jiang, Wen-Wang Rao, Qing-E Zhang, Ming-Zhao Qin, Chee H Ng, Gabor S Ungvari, Yu-Tao Xiang

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 2 pooled it
4.5field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

41 citing papers in PubMed, 2 syntheses or guidelines pooled it, 74 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 3 countries.

Hong-He ZhangDepartment of Psychiatry, Xiamen Xianyue Hospital, Xiamen, China.
Yuan-Yuan JiangUnit of Psychiatry, Faculty of Health Sciences, Institute of Translational Medicine, University of Macau, Macao, China.
Wen-Wang RaoUnit of Psychiatry, Faculty of Health Sciences, Institute of Translational Medicine, University of Macau, Macao, China.
Qing-E ZhangThe 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.
Ming-Zhao QinDepartment of Geriatric Medicine, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Chee H NgDepartment of Psychiatry, The Melbourne Clinic and St Vincent's Hospital, University of Melbourne, Richmond, VIC, Australia.
Gabor S UngvariDivision of Psychiatry, School of Medicine, University of Western Australia, Perth, WA, Australia.
Yu-Tao XiangUnit of Psychiatry, Faculty of Health Sciences, Institute of Translational Medicine, University of Macau, Macao, China.
University of Macau · MOCapital Medical University · CNMelbourne Clinic · AUTianjin haihe hospital · CNUniversity of Western Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepressive 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.

methodsTwo 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.

resultsA 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,

conclusionIn 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.

Indexed as

Chinadepressionelderlyempty-nestmeta-analysis

Identifiers

PMID32733289
PMCPMC7358371
OpenAlexW3038553410

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.