Evidence map›Paper›PMID 40657581›Full record

ArticleFrontiers in psychology2025

Prevalence and associated factors of depressive symptoms among older adult diabetic patients in China: a nationally representative cross-sectional study.

Huan Huang, Wu-Xiao Wei, Tao Huang, Feng Wang, Hai-Tao Zhang

Abstract read
In one paragraph

Article in Frontiers in psychology, 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. Psychological distress, coping methods and self-care among people with diabetes mellitus in Ibadan.Nigerian medical journal : journal of the Nigeria Medical Association
    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

5 authors.

Huan Huang *People's Hospital of Liuzhi Special District, Liupanshui, China.
Wu-Xiao Wei *Guangxi University of Science and Technology First Affiliated Hospital, Liuzhou, China.
Tao HuangPeople's Hospital of Liuzhi Special District, Liupanshui, China.
Feng WangGuangxi University of Science and Technology First Affiliated Hospital, Liuzhou, China.
Hai-Tao ZhangLiuzhou Municipal Liutie Central Hospital, Liuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diabetes and depressive symptoms exhibit a high comorbidity in the older adult population, and their combined effects significantly reduce patients' quality of life. This study aims to investigate the prevalence of depressive symptoms among older adults with diabetes in China and identify key associated factors, providing evidence-based insights for the development of targeted intervention strategies. Methods: This study utilizes data from the 2015, 2018, and 2020 waves of the China Health and Retirement Longitudinal Study (CHARLS), including older adults aged 60 years and above who have been diagnosed with diabetes ( Results: The overall prevalence of depressive symptoms among older adult diabetic patients in the sample was 38.6%. Univariate chi-square analysis revealed significant differences in variables including age ( Conclusion: The high prevalence of depressive symptoms among older adult diabetic patients is significantly associated with sociodemographic, lifestyle, and health-related factors. Personalized psychological interventions should be prioritized for high-risk groups, including individuals with low education levels, women, those experiencing insufficient sleep, and those with multiple comorbidities, in order to enhance their quality of life and reduce social burdens.

Indexed as

CHARLSchronic diseasesdepressive symptomsdiabetesolder adultssociodemographic factors

Identifiers

PMID40657581
PMCPMC12247175

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.