Evidence map›Paper›PMID 42110905›Full record

ArticleAlpha psychiatry2026

Prevalence and Correlates of Problematic Alcohol Use Among Older Chinese Adults: A Study Combining Logistic Regression and Psychological Network Analysis.

Hang Qian, She-Hui Chang, Bao-Liang Zhong

Abstract read
In one paragraph

Article in Alpha psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Hang QianDepartment of Psychiatry, Affiliated Wuhan Mental Health Center, Tongji Medical College of Huazhong University of Science and Technology, 430030 Wuhan, Hubei, China.ORCID https://orcid.org/0009-0001-3220-5428
She-Hui ChangResearch Center for Psychological and Health Sciences, China University of Geosciences (Wuhan), 430074 Wuhan, Hubei, China.ORCID https://orcid.org/0009-0006-6548-0502
Bao-Liang ZhongDepartment of Psychiatry, Affiliated Wuhan Mental Health Center, Tongji Medical College of Huazhong University of Science and Technology, 430030 Wuhan, Hubei, China.ORCID https://orcid.org/0000-0002-7229-1519

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Alcohol use inflicts substantial harm on older adults; however, research in China remains limited. The association between alcohol use and depression at the symptom level is particularly unclear. This study examined the prevalence and correlates of problematic alcohol use (PAU) and the network structure of comorbid PAU and depressive symptoms among older Chinese adults. Methods: A cross-sectional survey was conducted with 2643 adults aged ≥60 years in Wuhan, China. PAU was assessed using the Alcohol Use Disorders Identification Test (AUDIT), and depressive symptoms were measured with the 9-item Patient Health Questionnaire (PHQ-9). Multivariate logistic regression identified correlates of PAU. A regularized partial correlation network was constructed to examine the comorbid structure of AUDIT and PHQ-9 symptoms. Results: The prevalence of any alcohol use was 21.0%, and that of PAU was 8.4%. Significant correlates of PAU included depressive symptoms (OR = 1.68, Conclusions: Depressive symptoms were strongly associated with PAU among older Chinese adults. Male sex, employment, rural residence, and low income increased the risk. Anhedonia and sleep disturbance emerged as pivotal depressive symptoms bridging PAU. Interventions targeting reward processing and sleep regulation may mitigate this comorbidity.

Indexed as

Chinese populationdepressionnetwork analysisolder adultsproblematic alcohol use

Identifiers

PMID42110905
PMCPMC13156049

What Socratic holds

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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 Socratic graph.