Evidence mapPaperPMID 40817826Full record

ArticleInquiry : a journal of medical care organization, provision and financing

It Is the Spouse, Not the Children, That Influences Depressive Symptoms in Older Adults: Evidence From CHARLS.

Chaoqun Ma, Nanfu Hu

Erratum issuedAbstract read
In one paragraph

Article in Inquiry : a journal of medical care organization, provision and financing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Chaoqun MaHohai University, Nanjing, Jiangsu, China.
Nanfu HuHohai University, Nanjing, Jiangsu, China.ORCID 0000-0003-2288-5340

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The association between living arrangements and depressive symptoms has been documented in previous systematic studies but remains controversial. This study further explored the association between living arrangements and depressive symptoms. It utilized newly published data and implemented a more rational categorization of living arrangement styles based on census data. The sample for this study was drawn from the China Health and Aging Tracking Survey (CHARLS) 2020 survey data and included 6527 residents aged at least 60 years. Depressive symptoms were defined by the 10-item Center for Epidemiologic Studies Depression Scale. Multivariate logistic regression was employed to evaluate the association between living arrangements and depressive symptoms. Additionally, gender differences in this association were analyzed, and 4 distinct living arrangement patterns were compared. Compared with living alone, living with spouse or living with children and spouse was associated with lower odds of experiencing depressive symptoms (OR = 0.281 95% CI 0.134-0.588 and 0.381 95% CI 0.177-0.819). The spouse, not the child, influences depressive symptoms in older adults. There was no significant association between women's living arrangements and depressive symptoms. The associations of the variables with depressive symptoms within the 4 living arrangement styles were generally the same as the associations of the variables with depressive symptoms within the total sample, but there were differences between the associations of the individual variables and depressive symptoms. Older adults who live alone or live with children without a spouse are more likely to experience depressive symptoms. More attention should be given to older adults who live with children without a spouse.

Indexed as

DepressionResidence CharacteristicsSpousesAgedAged, 80 and overChinaFemaleHealth SurveysHumansMaleMiddle AgedSex FactorsChinacross-sectional studiesdepressive symptomsliving arrangementsolder adults

Identifiers

PMID40817826
PMCPMC12357999

What Socratic holds

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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 Socratic graph.