PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 19, 2026Frontiers in Aging Neuroscience0 citationsOpen Access

Construction of a classification model for dementia among Brazilian adults aged 50 and over

FMF MenezesMBMaria Clara Falcão Guerra BarrettoEGElliot Quinten Crispiniano Garcia

Key Points

  • The aim is to construct a predictive model for dementia among Brazilian adults using a combination of sociodemographic factors.
  • Conducted a cross-sectional observational study
  • Analyzed data from the Brazilian Longitudinal Study of Aging
  • Employed Random Forest and Logistic Regression for classification modeling
  • Estimated the odds of dementia based on neuropsychological assessments
  • Prevalence of dementia was found to be 9.6%
  • Illiterate individuals had 7.42 times higher odds of dementia
  • Individuals aged 90 and older had 11.00 times higher odds
  • The Random Forest model achieved an area under the ROC curve of 0.776

Abstract

Background Dementia is a multifactorial and debilitating condition marked by cognitive decline and behavioral changes that compromise independence and daily activities. This condition is a growing challenge in Brazil, and early identification of associated factors can guide preventive strategies and health policies. Objectives To build a dementia classification model for middle-aged and older adults Brazilians combining variable selection and multivariable analysis, using low-cost variables, including variables potentially modifiable and non-modifiable sociodemographic variables. Methods Observational study employed a cross-sectional design and a classification modeling approach to estimate probable dementia and analyze the odds of dementia, using data from the Brazilian Longitudinal Study of Aging, involving 9,412 participants. Dementia was determined based on neuropsychological assessment and informant-based cognitive function. Analyses were performed with Random Forest (RF) and multivariable Logistic Regression (LR). Results The prevalence of dementia was 9.6%. The highest odds of dementia were observed in illiterate individuals (Odds Ratio (OR) = 7.42; 95% Confidence Interval (CI): 4.04–13.62), individuals aged 90 years or older (OR = 11.00; 95% CI: 5.05–23.95), low weight (OR = 2.11; 95% CI: 1.12–3.97), low handgrip strength (OR = 2.50; 95% CI: 1.09–5.76), self-reported black skin color (OR = 1.47; 95% CI: 1.07–2.00), physical inactivity (OR = 1.61; 95% CI: 1.25–2.08), self-reported hearing loss (OR = 1.65; 95% CI: 1.16–2.37), and presence of depressive symptoms (OR = 1.72; 95% CI: 1.36–2.16). In contrast, higher education (OR = 0.44; 95% CI: 0.21–0.94), greater life satisfaction (OR = 0.72; 95% CI: 0.52–0.99), and being employed (OR = 0.78; 95% CI: 0.61–1.00) were protective factors. The RF model outperformed LR, achieving an area under the ROC curve of 0.776 (95% CI: 0.740–0.811), with sensitivity of 0.708, specificity of 0.702, precision of 0.201, Precision-Recall Area Under the Curve (PR-AUC) of 0.261 (95% CI: 0.217–0.319), F1-score of 0.311, G-means of 0.705, and accuracy of 0.703. Conclusion The findings reinforce the multidimensional nature of dementia and the importance of accessible factors for supporting screening/triage and prioritization in primary care. Strengthening public policies focused on promoting brain health can contribute significantly to the efficient allocation of resources in primary care and dementia prevention in Brazil.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Menezes et al. (2026) studied this question.

synapsesocial.com/papers/69e4702d010ef96374d8d6a6https://doi.org/10.3389/fnagi.2026.1789012
Ask AI
Helpful
Bookmark
Share
View Full Paper