Evidence map›Paper›PMID 41112747›Full record

ArticleFrontiers in nutrition2025

Association of HbA1c/HDL-C ratio and depression with cardiometabolic multimorbidity in middle-aged and older adults: a nationwide prospective cohort study.

Jiayang Dong, Aodi Huang, Zhiqiang Zhang, Xinyue Yang, Jiayi Sun, Wenjuan Zhang

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Article in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jiayang Dong *Department of Cardiology, Tianjin Medical University General Hospital, Tianjin, China.
Aodi Huang *Department of Cardiology, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, China.
Zhiqiang Zhang *Department of Cardiology, Tianjin Medical University General Hospital, Tianjin, China.
Xinyue YangDepartment of Cardiology, Tianjin Medical University General Hospital, Tianjin, China.
Jiayi SunDepartment of Cardiology, Tianjin Chest Hospital, Tianjin, China.
Wenjuan ZhangDepartment of Cardiology, Tianjin Medical University General Hospital, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cardiometabolic multimorbidity (CMM)-the coexistence of two or more cardiometabolic diseases such as diabetes, heart disease, and stroke-poses serious health risks. Depression has recently been recognized as an independent risk factor for CMM. However, the role of the glycosylated hemoglobin A1c to high-density lipoprotein cholesterol ratio (HbA1c/HDL-C) in predicting CMM remains unclear. This study investigates the independent and combined effects of the HbA1c/HDL-C ratio and depression on CMM risk in middle-aged and older adults. Methods: Data were drawn from the China Health and Retirement Longitudinal Study (CHARLS) from 2011 to 2018, including 7,256 participants aged 45 and above. Kaplan-Meier analysis estimated cumulative CMM incidence. Multivariable Cox proportional hazards models assessed the independent and joint effects of the HbA1c/HDL-C ratio and depression on CMM risk. Restricted cubic splines evaluated potential nonlinear relationships. Receiver operating characteristic (ROC) analysis compared the predictive performance of the HbA1c/HDL-C ratio, depression, and their combination. Subgroup and sensitivity analyses tested the robustness of findings. Results: Over the 7-year follow-up, 419 participants (5.77%) developed CMM. Higher HbA1c/HDL-C ratios and depression were associated with greater cumulative incidence of CMM. The HbA1c/HDL-C ratio was positively associated with CMM risk, showing a nonlinear trend. Participants with both a high HbA1c/HDL-C ratio and depression had significantly increased CMM risk (HR = 2.59, 95% CI: 1.82-3.68) compared to those with either factor alone. Combined analysis consistently outperformed single predictors in ROC analysis. Subgroup and sensitivity analyses confirmed the robustness of results. Depression did not mediate the HbA1c/HDL-C-CMM association. Conclusion: Both the HbA1c/HDL-C ratio and depression are independently associated with CMM. Depression did not mediate the association between the HbA1c/HDL-C ratio and CMM. Their combined effect substantially increases CMM risk, underscoring the importance of integrating metabolic and psychological assessments in early identification and personalized prevention strategies for high-risk populations.

Indexed as

cardiometabolic multimorbidityCHARLSdepressionglycosylated hemoglobin A1cHbA1c/HDL-C ratiohigh-density lipoprotein cholesterol

Identifiers

PMID41112747
PMCPMC12529971

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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.