Evidence mapPaperPMID 39933613Full record

ArticleDiabetes research and clinical practice2025

Psychosocial and behavioral risk patterns and risk of cardiovascular complications in people with type 2 diabetes.

Xiu Wu, Yuanhao Zu, Danting Li, Yilin Yoshida

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Article in Diabetes research and clinical practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing 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

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Xiu WuTulane University, School of Medicine, New Orleans, LA 70112, USA.
Yuanhao ZuTulane University, School of Medicine, New Orleans, LA 70112, USA.
Danting LiTulane University, School of Medicine, New Orleans, LA 70112, USA.
Yilin YoshidaTulane University, School of Medicine, New Orleans, LA 70112, USA. Electronic address: yyoshida1@tulane.edu.

Funding

Louisiana Clinical and Translational Science CenterU54GM104940 · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · 2025 to 2025
$3.9M
Sex-Based Precision Medicine Research CoreP20GM152305 · TULANE UNIVERSITY OF LOUISIANA · 2025 to 2025
$2.2M
NIGMS NIH HHS P20 GM152305NIGMS NIH HHS U54 GM104940
6 · The paper itself

Abstract

introductionPsychosocial and behavioral risk factors often co-occur in patients with type 2 diabetes (T2D). The clustering of these risk factors and their role in predisposing patients to cardiovascular complications is not well understood. This study aims to identify patient subgroups with distinct psychological and behavioral risk patterns and evaluate the long-term risk of cardiovascular complications associated with these risk patterns.

methodsA total of 24,467 patients with T2D were identified from the UK Biobank (mean age 59 years, 86.7 %white), used Latent Class Analysis (LCA) to distinguish risk patterns among observed psychosocial (social isolation, loneliness, high neuroticism, anxiety, and depression) and behavioral (smoking, alcohol consumption, sleep duration, diet quality, and physical inactivity) risk factors. the Cox proportional hazards model was applied to assess the association of the identified risk patterns and risk of coronary heart disease (CHD), stroke, and a composite CVD (CHD or stroke) accounting for age, age at T2D diagnosis, race, gender, Townsend Deprivation Index, anti-diabetes medications, lipid-lowering medications, and anti-hypertensive medications.

resultsThree distinct latent classes were identified: a low-risk group (n = 8,227, 33.62 %), a high psychosocial risk group (n = 15,965, 65.25 %), and a high behavioral risk group (n = 275, 1.12 %). Over a median follow-up of 12 years, the fully adjusted model showed that the high psychosocial risk group had a significantly increased risk of CHD (HR = 1.16; 95 % CI 1.08, 1.24) and composite CVD (HR = 1.13; 95 % CI 1.06, 1.20).

conclusionThe psychosocial risk pattern is significantly associated with the risk of CHD and CVD among patients with T2D. These findings emphasize the importance of integrating psychosocial support into tailored care strategies to mitigate cardiovascular risks in T2D patients.

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 2AgedFemaleHumansMaleMiddle AgedRisk FactorsCardiovascular complicationsLatent class analysisPsychosocial and behavioral risk patternsT2D

Identifiers

PMID39933613
PMCPMC12203623

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.