Evidence mapPaperPMID 41815074Full record

ArticleJournal of Alzheimer's disease : JAD2026

Association of central adiposity indices with cognitive impairment in elderly populations: Development and validation of a risk prediction nomogram using NHANES and CHARLS cohorts.

Jian Chen, Jinzhi Guan, Yaxuan Zhang, Shengbing Xue, Xuanyu Lu, Leyi Zhang, Yanxiang Liu, Jianguang Ji, Jingling Chang

Abstract readValidation Study
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2026. 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

9 authors.

Jian ChenDepartment of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.ORCID 0009-0001-1380-3836
Jinzhi GuanDepartment of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Yaxuan ZhangDepartment of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Shengbing XueDepartment of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Xuanyu LuDepartment of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Leyi ZhangDepartment of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Yanxiang LiuDepartment of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Jianguang JiDepartment of Public Health and Medicinal Administration, Faculty of Health Sciences, University of Macau, Macao, China.
Jingling ChangDepartment of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.ORCID 0000-0002-7881-8174

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundCognitive impairment is a primary contributor to disability among older adults, with growing evidence identifying central adiposity as an adjustable risk factor for neurodegeneration, but comprehensive predictive models integrating central adiposity indices for mild cognitive impairment (MCI) in aging individuals remain underexplored.ObjectiveThis study aimed to establish and verify a model for predicting the risk of MCI in elderly population by incorporating anthropometric indices.MethodsWe calculated five central adiposity indices using anthropometric measurements from 2464 United States adults aged 60 years or older (National Health and Nutrition Examination Survey, 2011-2014). Cognitive performance was assessed using three standardized neuropsychological tests. A random assignment placed participants into either a training (n = 1725) or a validation (n = 739) set. Furthermore, the data from participants in the 2011 wave of the China Health and Retirement Longitudinal Study served as an external validation cohort (n = 536). LASSO-selected predictors were employed to inform multivariable logistic regression modeling.ResultsPositive linear relationships were found between three anthropometric indices-A Body Shape Index (ABSI), Conicity Index (CoI) and Weight-Adjusted-Waist Index (WWI)-with MCI risk (p < 0.05, p for nonlinearity > 0.05). The nomogram incorporating ABSI demonstrated strong discriminative capacity (training AUC = 0.861; internal validation AUC = 0.826; external validation AUC = 0.798), precise calibration, and good clinical utility.ConclusionsThe risk of MCI was independently linked to central adiposity indices (ABSI, WWI, and CoI). The nomogram incorporating ABSI provided a validated, clinically applicable prediction model for initial screening of MCI in older populations.

Indexed as

AdiposityCognitive DysfunctionNomogramsObesity, AbdominalAgedAged, 80 and overCohort StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedNeuropsychological TestsNutrition SurveysRisk FactorsUnited StatesA Body Shape IndexAlzheimer's diseaseanthropometric indicescentral adipositycognitive impairmentnomogramprediction model

Identifiers

PMID41815074
PMCPMC13022025

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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.