Evidence map›Paper›PMID 39444967›Full record

ArticleFrontiers in public health2024

The association between living alone and depressive symptoms in older adults population: evidence from the China Health and Retirement Longitudinal Study.

Hui Fang, Yingxin Duan, Yinxin Hou, Haoran Chang, Shanju Hu, Ruyi Huang

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

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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

11 citing papers in PubMed.

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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

6 authors.

Hui FangSchool of Management, Shandong Second Medical University, Weifang, China.
Yingxin DuanSchool of Management, Shandong Second Medical University, Weifang, China.
Yinxin HouSchool of Management, Shandong Second Medical University, Weifang, China.
Haoran ChangSchool of Management, Shandong Second Medical University, Weifang, China.
Shanju HuSchool of Management, Shandong Second Medical University, Weifang, China.
Ruyi HuangSchool of Management, Shandong Second Medical University, Weifang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The goal of this research was to reveal the association between living alone and depressive symptoms in older adults. It also aims to explore the mediating role of social activity and adult children's relationship satisfaction. Ultimately, the study seeks to add to the body of knowledge for lowering the risk of depression among older people and promoting positive aging. Methods: Based on information from the 2020 China Health and Retirement Longitudinal Study, the ordinary least square (OLS) regression model and propensity score matching (PSM) were used to investigate the association between living alone and depressive symptoms in older adults and to explore possible heterogeneity in different groups. Utilizing the SPSS PROCESS macro application, the mediation model was constructed. The significance of the mediation effect was investigated using the Bootstrap technique. Results: The average level of depressive symptoms of older people living alone (10.55 ± 6.962) was higher than that of older people who do not live alone (8.80 ± 6.363). The baseline regression analysis revealed a significant connection between living alone and the depressive symptoms of older people ( Conclusion: For older age groups, living alone is associated with higher levels of depressive symptoms. This effect is stronger in older adults aged 60-74 or rural areas. In older age groups, the association between living alone and depressive symptoms is mediated by social activity and adult children's relationship satisfaction.

Indexed as

DepressionAdult ChildrenAgedAged, 80 and overChinaFemaleHumansLongitudinal StudiesMaleMiddle AgedRetirementSingle Personadult children’s relationship satisfactiondepressive symptomsliving aloneolder adultssocial activity

Identifiers

PMID39444967
PMCPMC11496203

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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.