Evidence map›Paper›PMID 41343482›Full record

ArticlePloS one2025

Depressive symptoms and healthcare utilization among older adults in China: A cross-sectional examination of the national CHARLS data guided by Andersen behavioral model.

Yue Wu, Teresa Wills, Aine O'Donovan, Caroline Kilty, Jin Liu, Jian Huang, Qingyue Wang, Nicola Cornally

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yue WuSchool of Nursing and Midwifery, University College Cork, Cork, Ireland.ORCID https://orcid.org/0009-0002-4471-5545
Teresa WillsSchool of Nursing and Midwifery, University College Cork, Cork, Ireland.
Aine O'DonovanSchool of Nursing and Midwifery, University College Cork, Cork, Ireland.
Caroline KiltySchool of Nursing and Midwifery, University College Cork, Cork, Ireland.
Jin LiuDepartment of Science and Technology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Jian HuangSchool of Mathematical Sciences, University College Cork, Cork, Ireland.
Qingyue WangSchool of Mathematical Sciences, University College Cork, Cork, Ireland.
Nicola CornallySchool of Nursing and Midwifery, University College Cork, Cork, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith global population ageing, the mental health of older adults is a significant public health concern. Depression and depressive symptoms are increasingly prevalent and have been shown to influence healthcare utilization, but the mechanisms underlying these effects operate remain underexplored, particularly among older adults in China. Building on this context, this study draws on the Andersen behavioral model to explore the associations between depressive symptoms and healthcare utilization among older adults in China.

methodsUsing data from the 2018 China Health and Retirement Longitudinal Study, a nationally representative sample of 7,777 individuals aged 60 and above was analyzed. A Bayesian Generalized Structural Equation Model was constructed within the framework of the Andersen behavioral model to estimate both the direct and indirect associations between depressive symptoms and inpatient healthcare utilization.

resultsResults showed a direct association between depressive symptoms and inpatient healthcare utilization (0.16, 95% HDI: 0.02, 0.29), accounting for a small portion of the total association. The remaining 93.55% operated through indirect pathways, with health status, chronic diseases, satisfaction with health, activities of daily living limitations, disability, and alcohol use identified as key mediators. The model showed strong convergence and estimation stability.

conclusionsThese findings highlight the importance of distinguishing between direct and indirect associations when evaluating the relationship between depressive symptoms and healthcare utilization. Such differentiation helps to clarify the underlying mechanisms and provides an empirical basis for developing more targeted interventions to improve healthcare service use among Chinese older adults with depressive symptoms.

Indexed as

DepressionPatient Acceptance of Health CareActivities of Daily LivingAgedAged, 80 and overBayes TheoremChinaCross-Sectional StudiesFemaleHumansLongitudinal StudiesMaleMiddle Aged

Identifiers

PMID41343482
PMCPMC12677493

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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.