Evidence map›Paper›PMID 41908981›Full record

ArticleBrain, behavior, & immunity - health2026

Relationship between triglyceride glucose-waist circumference and depressive symptoms in Chinese older adults: The China health and retirement longitudinal study.

Yanyan Sun, Zhifang Wang, Tingxin He, Baile Ning

Abstract read
In one paragraph

Article in Brain, behavior, & immunity - health, 2026. 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. Article
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

4 authors.

Yanyan SunThe Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Zhifang WangGuangzhou University of Chinese Medicine, Guangzhou, China.
Tingxin HeThe Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Baile NingThe Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The aim of this study was to investigate the horizontal association between triglyceride glucose waist circumference (TyG-WC) and depressive symptoms, and the underlying mechanisms. Methods: A sample of 17,708 adults aged ≥45 years from the China Health and Retirement Longitudinal Survey (CHARLS) was analyzed. Logistic regression was used to assess the impact of adverse experiences. Subgroup analysis and quartile analysis were performed simultaneously. Boruta analyzed the correlations between age and alcohol consumption and TyG-WC and depression. Results: Depressed group and non-depressed group showed considerable differences in age, education, marriage, sleep, platelet, hemoglobin, creatinine, uric acid, hypertension, heart disease, memory disorder, BMI, smoking, alcohol consumption, and stroke ( Conclusions: Our research found that a nonlinear correlation was discovered in China between TyG-WC and depression. Factors such as age, education, marital status, sleep quality, platelet count, hemoglobin levels, creatinine levels, uric acid levels, hypertension, heart disease, memory issues, BMI, smoking habits, alcohol consumption, and history of stroke were linked to depression risk. Among these factors, alcohol consumption emerged as a significant independent variable. Detecting and addressing these risk factors promptly could potentially lower depression rates and offer significant clinical advantages to individuals.

Indexed as

Chinese older adultsDepressive symptomsThe China health and retirement longitudinal studyTriglyceride glucoseWaist circumference

Identifiers

PMID41908981
PMCPMC13018961

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Registered trials

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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.