Evidence map›Paper›PMID 42540577›Full record

ArticleArchives of medical science : AMS2026

Cross-sectional associations of metabolic risk indices and cardiometabolic multimorbidity among adults with depressive symptoms: evidence from China and the United Kingdom.

Jinghao Zhao, Bojia Li, Qi Shan, Junjie Yu

Abstract read
In one paragraph

Article in Archives of medical science : AMS, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

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5 · Who and what money

Authors and funding

4 authors.

Jinghao ZhaoThe Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Bojia LiThe Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Qi ShanThe Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Junjie YuThe Second Affiliated Hospital of Harbin Medical University, Harbin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Depression is associated with cardiovascular disease, but the impact of metabolic markers on cardiometabolic multimorbidity (CMM) remains unclear. We examined the atherogenic index of plasma (AIP) and triglyceride-glucose index (TyG) in relation to CMM risk in depressed adults from the China Health and Retirement Longitudinal Study (CHARLS) and the English Longitudinal Study of Ageing (ELSA). Material and methods: We analyzed 3,225 depressed Chinese (CHARLS) and 353 UK (ELSA) individuals aged ≥ 50 years. CMM comprised diabetes, coronary heart disease, and stroke. Metabolic dysregulation was assessed using AIP and TyG indices. Multivariable logistic regression was used to examine the associations. Results: In CHARLS, the CMM group had significantly higher AIP (0.47 ±0.29 vs. 0.36 ±0.28) and TyG (8.96 ±0.72 vs. 8.65 ±0.62) than the non-CMM group ( Conclusions: AIP and TyG are independent predictors of CMM in depressed adults across different cultural contexts. These indices are promising, accessible tools for early risk stratification and targeted intervention to manage cardiometabolic multimorbidity in depression.

Indexed as

atherogenic index of plasmacardiometabolic multimorbiditycross-sectional studydepressiontriglyceride-glucose index

Identifiers

PMID42540577
PMCPMC13426193

What Socratic holds

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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 Socratic graph.