Evidence map›Paper›PMID 40688566›Full record

ArticleLancet regional health. Americas2025

Population attributable fractions of modifiable dementia risk factors for cognitive impairment-the ELSA-Brasil cohort study.

Raphael Machado Castilhos, Vanessa Bielefeldt Leotti, Natan Feter, Alessandra C Goulart, André Russowsky Brunoni, Claudia Kimie Suemoto, Luana Giatti, Maria Carmen Viana, Sandhi Maria Barreto, Sheila Alvim and 2 more

Abstract read
In one paragraph

Article in Lancet regional health. Americas, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Raphael Machado CastilhosCognitive and Behavioral Neurology Center, Neurology Service, Hospital de Clínicas de Porto Alegre, 2350, Ramiro Barcelos Street, Porto Alegre, 90035903, Brazil.
Vanessa Bielefeldt LeottiBiostatistics Department, Universidade Federal do Rio Grande do Sul, 9500, Bento Gonçalves Avenue, Porto Alegre, Rio Grande do Sul, 91509900, Brazil.
Natan FeterGraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, 2400, Ramiro Barcelos, Porto Alegre, Rio Grande do Sul, 90035003, Brazil.
Alessandra C GoulartDepartment of Epidemiology, School of Public Health, Universidade de São Paulo, 715, Doutor Arnaldo Avenue, São Paulo, 01246904, Brazil.
André Russowsky BrunoniDepartamento e Instituto de Psiquiatria & Laboratory of Neurosciences (LIM-27), Faculdade de Medicina da Universidade de São Paulo, 455, Doutor Arnaldo Street, São Paulo, 01246903, Brazil.
Claudia Kimie SuemotoDivision of Geriatrics, Universidade de São Paulo Medical School, 455, Doutor Arnaldo Street, São Paulo, 01246903, Brazil.
Luana GiattiUniversidade Federal de Minas Gerais, Medical School and Clinical Hospital/EBSERH - Belo Horizonte, 110, Prof. Alfredo Balena Avenue, 30130100, Brazil.
Maria Carmen VianaDepartment of Social Medicine, Center of Psychiatric Epidemiology (CEPEP), Postgraduate Program in Public Health, Universidade Federal do Espírito Santo, 514, Fernando Ferrari Avenue, Vitória, 29075910, Brazil.
Sandhi Maria BarretoUniversidade Federal de Minas Gerais, Medical School and Clinical Hospital/EBSERH - Belo Horizonte, 110, Prof. Alfredo Balena Avenue, 30130100, Brazil.
Sheila AlvimInstitute of Collective Health, Universidade Federal da Bahia, Basilio da Gama Street, 40110040, Brazil.
Bruce B DuncanGraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, 2400, Ramiro Barcelos, Porto Alegre, Rio Grande do Sul, 90035003, Brazil.
Maria Inês SchmidtGraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, 2400, Ramiro Barcelos, Porto Alegre, Rio Grande do Sul, 90035003, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Population attributable fractions (PAF) of modifiable dementia risk factors are rarely estimated in low- and middle-income countries. We aim to estimate the relative risk (RR) for cognitive impairment and calculate the PAF in the Methods: We analyzed adults aged 35-74 at the baseline (2008-2010) and wave 3 (2017-2019). We estimated the prevalence of eight modifiable dementia risk factors at baseline: hypertension, physical inactivity, diabetes, depression, obesity, low education, smoking, and excessive alcohol consumption. Cognition was evaluated at baseline and wave 3 using six standardized tests for the Brazilian Portuguese. A global cognitive score from the individual cognitive tests was created using calculated z-scores each test. A global z-score below -1.5 was considered indicative of cognitive impairment. We calculated the RR and PAF for cognitive impairment at wave 3. Findings: We followed 10,058 adults (56.7% women, median age of 50 [IQR: 44-56] years) for 8.1 (0.6) years. The eight-year incidence of cognitive impairment in wave 3 was 5.5% (n = 549). Low education had the largest RR (4.32) followed by hypertension (1.43), diabetes (1.27), and smoking (1.35). Low education had the largest PAF (95% CI), 14.2% (11.2-17.3), followed by hypertension 13% (7-19), diabetes 4.2% (0.7-7.7), and smoking 3.2% (0.45-6). The total PAF for significant risk factors was 34.7% (28.2-41.3). Interpretation: The findings highlight the importance of early-life and midlife prevention strategies in low- and middle-income countries, with a focus on addressing educational and cardiovascular risk factors. Funding: RMC received Alzheimer's Association grant (AARGD-21-846545).

Indexed as

Attributable fractionBrazilCognitive impairmentCohortDementiaRelative riskRisk factor

Identifiers

PMID40688566
PMCPMC12274917

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.