Evidence map›Paper›PMID 41257669›Full record

ArticleBMC public health2025

The association between family health and depression and anxiety symptoms among older adults: a cross-sectional study in mainland China.

Sha Ma

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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. Review
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

1 author.

Sha MaDepartment of Health Management, School of Humanities and Management, Zhejiang Chinese Medical University, Gaoke Road, Fuyang District, Hangzhou, Zhejiang Province, 311400, P.R. China. masha.1987@163.com.ORCID http://orcid.org/0000-0002-0672-6502

Funding

the Ministry of Education Humanities and Social Sciences Research Youth Fund Project 22YJC630100the Zhejiang Natural Science Foundation LQ21G030001
6 · The paper itself

Abstract

backgroundThere was a scarcity of literature examining the relationship between family health and depressive and anxiety symptoms among older adults. This study aims to investigate the association of family health and mental health outcomes (specifically depressive and anxiety symptoms in the Chinese older adult population, while concurrently developing novel intervention strategies and methodological approaches to address mental health challenges within this vulnerable demographic.

methodsChi-square tests and multinomial logistic regression were employed to examine both univariate and multi-univariate associations between family health and depressive and anxiety symptoms among older adults. Additionally, Cronbach's alpha and Kaiser-Meyer-Olkin measure were employed to evaluate the reliability and validity of the scales used in this study.

resultsThis study encompassed a total of 1147 respondents aged 60 years and above, comprising of 49.35% female and 50.65% male participants. Univariate analysis indicated that elevated prevalences of depressive and anxiety symptoms were significantly associated with multiple factors, including insufficient formal education, a monthly income below CNY1500, living alone, absence of a marital relationship, elevated stress levels, compromised family health conditions, and inadequate perceived social support. Multinomial logistic regression analysis demonstrated that family health, perceived social support, chronic disease status, marital status, physical activity, and educational attainment consistently exerted significant influences on the prevalence of depressive and anxiety symptoms among older adults.

conclusionsPriority should be placed on family-centered health promotion strategies aimed at mitigating depressive and anxiety symptoms.

Indexed as

AnxietyDepressionFamily HealthAgedAged, 80 and overChinaCross-Sectional StudiesFemaleHumansLogistic ModelsMaleMiddle AgedSocial SupportAnxiety symptomsDepressive symptomsFamily healthMultinomial logistic regression analysisPerceived social Support

Identifiers

PMID41257669
PMCPMC12628877

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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.