Evidence map›Paper›PMID 42615703›Full record

ArticleRevista brasileira de epidemiologia = Brazilian journal of epidemiology2026

Patterns of behaviors related to modifiable health risk factors among Brazilian older adults: Data from the 2013 and 2019 National Health Surveys.

Mariana Sousa de Abreu Menezes, Zayanna Christine Lopes Lindôso, Ana Karina Teixeira da Cunha França, Poliana Cristina de Almeida Fonseca Viola, Bruno Luciano Carneiro Alves de Oliveira

Abstract read
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Article in Revista brasileira de epidemiologia = Brazilian journal of epidemiology, 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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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Mariana Sousa de Abreu MenezesUniversidade Federal do Maranhão, Graduate Program in Public Health - São Luís (MA), Brazil.ORCID http://orcid.org/0009-0001-8949-4152
Zayanna Christine Lopes LindôsoUniversidade Federal de Pelotas, Occupational Therapy Undergraduate Program Council - Pelotas (RS), Brazil.ORCID http://orcid.org/0000-0003-1999-5442
Ana Karina Teixeira da Cunha FrançaUniversidade Federal do Maranhão, Graduate Program in Public Health - São Luís (MA), Brazil.ORCID http://orcid.org/0000-0002-4460-2631
Poliana Cristina de Almeida Fonseca ViolaUniversidade Federal do Maranhão, Graduate Program in Public Health - São Luís (MA), Brazil.ORCID http://orcid.org/0000-0002-8875-5154
Bruno Luciano Carneiro Alves de OliveiraUniversidade Federal do Maranhão, Graduate Program in Public Health - São Luís (MA), Brazil.ORCID http://orcid.org/0000-0001-8053-7972

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo analyze patterns of modifiable health risk behaviors among Brazilian older adults (≥60 years) using data from the 2013 and 2019 National Health Surveys.

methodsA cross-sectional study was conducted based on secondary data from the 2013 and 2019 National Health Surveys. Behavior patterns were defined using Latent Class Analysis according to four main domains: smoking, alcohol consumption, physical activity, and diet. Relative frequencies and their 95% confidence intervals (95%CI) were calculated for lifestyle variables, as well as for independent variables associated with socioeconomic and demographic factors.

resultsFive behavior patterns were identified for each year. In 2013, patterns related to unhealthy habits (smoking), physical inactivity, and dietary patterns (including bean, vegetable, legume, and fish consumption) were identified. In 2019, the findings also involved the same patterns found in 2013, with the difference that fish consumption showed greater relevance in differentiating between classes, although its population prevalence decreased over the period. Physical inactivity was associated with harmful habits, including inadequate diet, smoking, and alcohol consumption. Age, sex, education level, and race significantly influenced these patterns.

conclusionIn Brazil, unhealthy aging overlaps with multiple modifiable risk factors. Understanding these patterns and their determinants enables the development of strategies to reduce health inequalities and promote quality of life and well-being among older adults. A combined approach to risk factors contributes to more effective public policies.

Indexed as

Health Risk BehaviorsAgedAlcohol DrinkingBrazilCross-Sectional StudiesDietExerciseFemaleHealth SurveysHumansLife StyleMaleMiddle AgedRisk FactorsSmokingSocioeconomic Factors

Identifiers

PMID42615703
PMCPMC13480969

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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.