Evidence map›Paper›PMID 37077844›Full record

ArticleFrontiers in psychology2023

Widowhood, social networks, and mental health among Chinese older adults: The moderating effects of gender.

Dan Tang, Christine A Mair, Qing Hu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
9.8field-weighted citation impact, top 2% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
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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

3 authors at 2 institutions in 2 countries.

Dan TangCenter for Population and Development Studies, Institute of Gerontology, Family and Gender Study Center, Renmin University of China, Beijing, China.
Christine A MairDepartment of Sociology, Anthropology and Public Health, University of Maryland, Baltimore County, Baltimore, MD, United States.
Qing HuInstitute of Gerontology, Renmin University of China, Beijing, China.
Renmin University of China · CNUniversity of Maryland, Baltimore County · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aimed to examine the three-way interaction between widowhood, social ties, and gender and its effects on older adults' mental health, including depressive symptoms and life satisfaction, in the context of China. Methods: Participants were 7,601 Chinese older adults. Their social network was divided between family and friendship ties, and their mental health was measured by depressive symptoms and life satisfaction. Linear regression was employed to analyze the associations between widowhood, social networks, and mental health, as well as to explore the moderating effect of gender. Results: Widowhood is associated with more depressive symptoms, but not with life satisfaction, while family and friendship ties are associated with less depressive symptoms and greater life satisfaction. Furthermore, the lack of family ties is associated with more depressive symptoms for widowed men compared to married older men, while it is associated with lower life satisfaction for widowed women compared to married older women. Conclusion: Family ties are the most important social support resource for Chinese older adults, especially for the widowed group. The vulnerability of older widowed men who lack family ties in China deserves public concern and attention.

Indexed as

Chinadepressive symptomsgenderlife satisfactionolder adultssocial networkswidowhood

Identifiers

PMID37077844
PMCPMC10106722
OpenAlexW4362580723

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.