Evidence map›Paper›PMID 41354966›Full record

ArticleEuropean journal of medical research2025

Association between cumulative atherogenic index of plasma and dementia risk score in middle-aged and elderly adults: a longitudinal analysis of the CHARLS cohort.

Tongjie Zhang, Qian Xu, Jie Zhou

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Article in European journal of medical research, 2025. 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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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Tongjie ZhangMaster of Medicine, resident physician, ICU, Wujiang Traditional Chinese Medicine Hospital, Suzhou, 215200, Jiangsu, China. 944560329@qq.com.
Qian XuDepartment of Encephalopathy, Wujiang Traditional Chinese Medicine Hospital, Suzhou, 215200, Jiangsu, China.
Jie ZhouDepartment of Encephalopathy, Wujiang Traditional Chinese Medicine Hospital, Suzhou, 215200, Jiangsu, China.

Funding

Training Project for Young Backbone Talents in Health of Suzhou (Suzhou Health Commission Science and Education [2023] No. 12). [2023] No. 12).
6 · The paper itself

Abstract

backgroundDementia has become an important public health challenge as the aging population in China accelerates, highlighting the need to identify modifiable risk factors. The cumulative atherogenic index of plasma (CumAIP), a marker reflecting long-term dyslipidemia, may contribute to dementia via vascular and inflammatory pathways, but longitudinal evidence in Chinese adults around 60 years of age remains scarce.

methodsData were extracted from three waves of the China Health and Retirement Longitudinal Study (CHARLS): 2012 (Wave 1), 2015 (Wave 3), and 2018 (Wave 4). A total of 6473 participants with complete AIP measurements at 2012 and 2015 were included; CumAIP was computed as the time-weighted average of AIP values, normalized by the 2012-2015 observation duration. Dementia risk (primary outcome) was assessed via the Rotterdam Basic Dementia Risk Model (BDRM) using 2018 data, reflecting a 3-year follow-up with 2015 as the baseline. To validate the BDRM, we conducted a secondary analysis: Spearman rank correlation between 2018 BDRM scores and 2015 CHARLS cognitive function scores. Statistical analyses included: multivariable linear regression with three progressive adjustment tiers (sociodemographic, clinical, lifestyle factors); restricted cubic spline (RCS) curves (3 knots at 10th/50th/90th CumAIP percentiles) for linearity testing; quartile-based analyses (CumAIPQ1-Q4, Q1 as reference) for dose-response relationships; and subgroup (by gender, age, residence, and lifestyle/metabolic factors) and sensitivity analyses [multiple imputation, complete-case analysis, linear regression of CumAIP vs. 2015 cognitive function scores, linear regression of low-density lipoprotein cholesterol (LDL-C) vs. BDRM scores] to validate robustness.

resultsFirst, the 2018 BDRM score was significantly negatively correlated with the 2015 cognitive function score (Spearman's r = - 0.26, P < 0.001). Higher CumAIP was associated with elevated BDRM scores, remaining significant after full adjustment (β = 0.058, 95% CI 0.018-0.098, P = 0.004). RCS confirmed a linear relationship (nonlinear term P = 0.9671), and quartile analyses showed a dose-response trend (Q4 vs. Q1, β = 0.103, 95% CI 0.009-0.197, P = 0.031). Subgroup effects were more pronounced in females, those aged ≥ 60 years, rural residents, nondrinkers, smokers, and BMI ≥ 24 kg/m

conclusionCumulative elevated CumAIP is independently associated with higher BDRM-estimated dementia risk in Chinese adults (mean age 61.4 ± 8.5 years), with linear and dose-dependent relationships. The association is more prominent in high-risk subgroups: females, aged ≥ 60 years, rural residents, nondrinkers, smokers, and BMI ≥ 24 kg/m

Indexed as

AtherosclerosisDementiaAgedBiomarkersChinaFemaleHumansLongitudinal StudiesMaleMiddle AgedRisk FactorsBiomarkersCumulative atherogenic index of plasmaDementia risk scoreLinear regression modelVisualization

Identifiers

PMID41354966
PMCPMC12797506

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