Table · dataset · 2026
Data Sheet 2_HbA1c-to-HDL-C ratio and risk of incident cardiovascular disease among older adults: evidence from a 7-year prospective cohort study in southwestern China.pdf
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Background<p>Cardiovascular disease (CVD) remains the leading cause of death worldwide, particularly among older adults.
Description
The glycated hemoglobin A1c-to-high-density lipoprotein cholesterol (HbA1c/HDL-C) ratio is an emerging biomarker reflecting glucolipid metabolic derangement. However, prospective evidence regarding its association with incident CVD among community-dwelling older adults in southwestern China remains limited.</p>Objective<p>This study aimed to investigate the association between the HbA1c/HDL-C ratio and incident CVD, characterize its dose–response relationship, and evaluate its incremental predictive value beyond conventional cardiovascular risk factors in an older adult population.</p>Methods<p>This prospective cohort study included 1,875 community-dwelling adults aged ≥60 years without baseline CVD from the Early Screening and Intervention Program for High-Risk Populations of Cardiovascular and Cerebrovascular Disease Risk Factors in Wanzhou District.
Participants were followed during 2024. The HbA1c/HDL-C ratio was calculated from baseline measurements and analyzed both continuously and as quartiles. Incident CVD events were ascertained using a dual-source validation approach that combined standardized questionnaire data with linkage to the regional surveillance system.
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Multivariable Cox proportional hazards models, restricted cubic spline (RCS), time-dependent area under the receiver operating characteristic curve (AUC), C-statistic and decision curve analysis (DCA) were fitted to estimate the association between HbA1c/HDL-C and CVD risk. Subgroup, sensitivity analyses were performed to verify robustness.</p>Results<p>During a median follow-up of 5.08 years, 207 participants developed incident CVD, with a cumulative incidence of 11.04%.
After fully adjusting for confounding factors, participants in the highest quartile (Q4) of the HbA1c/HDL-C ratio exhibited a significantly elevated risk of incident CVD compared with the lowest quartile (Q1) (HR = 2.111, 95%CI: 1.276–3.170, P = 0.003), whereas the linear trend across quartiles did not reach statistical significance (P<sub>for trend</sub> = 0.068). RCS analysis revealed a nonlinear dose-response relationship (P<sub>for overall</sub> < 0.001, P<sub>for nonlinear</sub> = 0.017), with a data-driven inflection point at an HbA1c/HDL-C ratio of 4.83 (95%CI: 3.55–6.06).
Below this threshold, each unit increment was associated with a 44.10% increase in CVD risk (HR = 1.441, 95%CI: 1.138–1.825, P = 0.002). Incorporation of the HbA1c/HDL-C ratio into a conventional risk factor model enhanced the time-dependent AUC (test-set C-statistic: 0.795 vs. 0.777). DCA demonstrated enhanced net benefit, particularly during mid-to-long-term follow-up.
Subgroup and sensitivity analyses verified the robustness.</p>Conclusions<p>After multivariable Cox regression adjustment, participants in the highest quartile (Q4) of the HbA1c/HDL-C ratio showed a significant association with incident CVD, while the linear trend across Q1 to Q4 was borderline significant. RCS analysis further identified a nonlinear dose–response relationship between HbA1c/HDL-C ratio and incident CVD.
Given its accessibility, low cost, and ease of calculation, the HbA1c/HDL-C ratio may serve as a complementary indicator for community-based CVD risk stratification, particularly in resource-constrained primary care settings. The apparently stronger association observed should be considered exploratory and requires confirmation in larger prospective cohort studies.</p>
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Where it is published
- DOI doi.org/10.3389/fpubh.2026.1901063.s002 ↗
DOI / persistent id · from figshare com
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
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Topics
- From keywords
- Astronomy & Astrophysics · Cardiovascular disease · Chemistry · Computer Science & AI · Earth & Environmental Science · Economics & Finance · Engineering · Humanities · Life Sciences · Medicine & Health · Ocean & Atmospheric Science · Social Science
- Inferred from text
- Disease 75% · Longitudinal study 65% · Medical biochemistry and metabolomics 70%
Provenance · 1 source records, 20 field assertions
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