Evidence map›Paper›PMID 41126413›Full record

ArticleCurrent Alzheimer research2026

Assessing Alzheimer's Disease Risk Among Latina/o/x Older Adults: A CART Analysis.

Sung Seek Moon, Javier F Boyas, Jinwon Lee

Abstract read
In one paragraph

Article in Current Alzheimer research, 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Sung Seek MoonDiana R. Garland School of Social Work, Baylor University, Waco, Texas, 76798, USA.ORCID 0000-0002-4956-5358
Javier F BoyasSchool of Social Work and Human Services, Troy University, Troy, Alabama, AL, 36082, USA.ORCID 0000-0002-4322-8385
Jinwon LeeDiana R. Garland School of Social Work, Baylor University, Waco, Texas, 76798, USA.ORCID 0009-0003-1017-6878

Funding

National Alzheimer's Coordinating CenterU24AG072122 · NIA · UNIVERSITY OF WASHINGTON · PI STEPHENS, KARI A · 2021 to 2025
$45.8M
NIA NIH HHS U24 AG072122
6 · The paper itself

Abstract

INTRODUCTION/

objectiveAlzheimer's Disease (AD) presents a significant public health challenge in the U.S., with Latina/o/x elders being disproportionately affected. This study examines the key risk factors associated with AD in this population.

methodsWe analyzed data from the National Alzheimer's Coordinating Center (2017), focusing on 9,801 Latina/o/x older adults (32.7% males and 67.3% females). Statistical analyses conducted included Chi-square tests, t-tests, and Classification and Regression Tree (CART) analysis, which was used as the main statistical tool.

resultsThe CART model, trained on 70% of the sample and tested on the remaining 30% (N = 9,801), identified seven terminal nodes and selected seven key predictors from 16 candidate variables. The model demonstrated modest discriminative ability (AUC = 0.68 for both training and test sets; misclassification error ≈ 36%). Sensitivity was 75%, while specificity was 55% in the test set. The most important predictors included age, education, smoking history, BMI, hypertension, and use of antidepressant or antipsychotic medications. A critical threshold emerged at < 5.5 years of education, which, in interaction with age and smoking, was associated with notably increased AD risk.

conclusionThis study emphasizes the crucial role of sociodemographic factors-particularly gender, age, and education-in determining AD risk among Latina/o/x elders. CART analysis identified key thresholds for age and education levels impacting AD risk. The findings suggest the need for targeted interventions and policies, with a focus on education and lifestyle factors, to mitigate AD risk in this vulnerable population.

Indexed as

Alzheimer DiseaseHispanic or LatinoAgedAged, 80 and overFemaleHumansMaleRisk AssessmentRisk FactorsUnited StatesAlzheimer's diseasecardiovascular risk factorsCARThealth disparitiesLatina/o/x elderssociodemographic factors

Identifiers

PMID41126413
PMCPMC13091036

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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.