Evidence map›Paper›PMID 41291653›Full record

ArticleBMC public health2025

Longitudinal investigation of the HbA1c/HDL-c ratio as a potential biomarker of cognitive decline among Chinese older adults: evidence from CHARLS.

Jianzhun Chen, Liuhui Zhu, Jie Liu, Jieyu Chen, Chunyu Liang, Chenxi Liu, Fang Wang, Yangfan Zhu, Xinglong Yang

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Observational
  2. Article
  3. 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

9 authors.

Jianzhun ChenDepartment of Neurology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, 650032, China.
Liuhui ZhuDepartment of Neurology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, 650032, China.
Jie LiuDepartment of Neurology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, 650032, China.
Jieyu ChenDepartment of Neurology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, 650032, China.
Chunyu LiangDepartment of Neurology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, 650032, China.
Chenxi LiuDepartment of Neurology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, 650032, China.
Fang WangDepartment of Neurology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, 650032, China.
Yangfan ZhuDepartment of Neurology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, 650032, China. 522969713@qq.com.
Xinglong YangDepartment of Neurology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, 650032, China. yxldoc11@163.com.

Funding

Applied Basic Research Foundation of Yunnan Province 202301AS0700455National Natural Science Foundation of China 81960242The Innovative Team of Yunnan Province 202305AS350019Yunnan Province Clinical Research Center for Geriatric Disease 202102AA310069
6 · The paper itself

Abstract

objectiveCognitive impairment has become a critical public health challenge in China's aging population, with growing evidence linking its progression to dysregulated glycolipid metabolism. The hemoglobin A1c to high-density lipoprotein cholesterol (HbA1c/HDL-C) ratio, a novel composite biomarker reflecting integrated glycolipid homeostasis, has recently demonstrated prognostic value in metabolic disorders. Based on these insights, this population-based study leverages longitudinal data from the China Health and Retirement Longitudinal Study (CHARLS) to investigate the association between the HbA1c/HDL-C ratio and cognitive decline in older Chinese adults.

methodWe included 813 community-dwelling adults aged ≥ 60 years from the China Health and Retirement Longitudinal Study (CHARLS) cohort, who had complete data on glycated hemoglobin (HbA1c), high-density lipoprotein cholesterol (HDL-C), and cognitive function at baseline. The HbA1c/HDL-C ratio was calculated as the ratio of HbA1c (%) to HDL-C (mmol/L). Cognitive decline was defined as a decrease in the global cognitive score over time, assessed using a validated cognitive battery. Cox proportional hazards models were used to estimate the association between the HbA1c/HDL-C ratio and incident cognitive decline. Sensitivity analyses included generalized linear mixed models (GLMM) and restricted cubic spline (RCS) regression to explore potential non-linear relationships. Subgroup and RCS analyses were also performed on HDL-C levels to further investigate underlying mechanisms.

resultsAfter adjusting for various risk factors, our analysis revealed a significant association between the HbA1c/HDL-C ratio and an increased risk of cognitive decline in individuals aged 60 and older. Compared to the Q1 group, the highest hazard ratio (HR) was observed in the Q2 group (HR = 1.53, 95% CI: 1.16-2.02, P = 0.002). The HR was 1.36 (95% CI: 1.03-1.81, P = 0.029) for the Q3 group versus Q1, and 1.40 (95% CI: 1.05-1.88, P = 0.024) for the Q4 group versus Q1. Results from the Generalized Linear Mixed Model (GLMM) were consistent with those from the Cox regression, supporting the primary findings.Furthermore, Restricted Cubic Spline (RCS) regression analysis indicated a non-linear relationship between the HbA1c/HDL-C ratio and cognitive decline, with an inflection point at a ratio of 2.06. Specifically, ratios below this threshold were associated with an increased risk of cognitive decline (HR: 2.31, 95% CI 1.32-4.04, P = 0.003), whereas the predictive ability was attenuated when the ratio exceeded this value (P = 0.269). Additional analysis suggested that this non-linearity may originate from a non-linear association between HDL-C and cognitive decline.

conclusionOur findings indicate a significant yet nonlinear relationship between the HbA1c/HDL-C ratio and the incidence of cognitive decline in individuals aged 60 and above. This nonlinearity may stem from a nonlinear relationship between HDL-C and cognitive decline.

Indexed as

Cholesterol, HDLCognition DisordersCognitive DysfunctionGlycated HemoglobinAgedAged, 80 and overBiomarkersChinaEast Asian PeopleFemaleHumansLongitudinal StudiesMaleMiddle AgedProportional Hazards ModelsBiomarkersCholesterol, HDLGlycated HemoglobinCHARLScognitive declineHbA1c/HDL-c ratio

Identifiers

PMID41291653
PMCPMC12648874

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.