What is the burden of multimorbidity and the factors associated with its occurrence in elderly Brazilians?

ABSTRACT Objective: To estimate the prevalence of multimorbidity in elderly people and its association with sociodemographic characteristics, lifestyle, and anthropometry. Methods: This was a cross-sectional study using data from the National Health Survey, 2019. A total of 22,728 elderly individual...

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Main Authors: Danielle Samara Tavares de Oliveira-Figueiredo (Author), Matteus Pio Gianotti Pereira Cruz Silva (Author), Paula Yhasmym de Oliveira Feitosa (Author), Bruna Cardoso Leite (Author), Fabiana Lucena Rocha (Author), Luciana Dantas Farias de Andrade (Author)
Format: Book
Published: Associação Brasileira de Enfermagem, 2024-05-01T00:00:00Z.
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Summary:ABSTRACT Objective: To estimate the prevalence of multimorbidity in elderly people and its association with sociodemographic characteristics, lifestyle, and anthropometry. Methods: This was a cross-sectional study using data from the National Health Survey, 2019. A total of 22,728 elderly individuals from all 27 Brazilian states were randomly selected. Poisson regression models with robust variance were employed, and a significance level of 5% was adopted. Results: The prevalence of multimorbidity was 51.6% (95% CI: 50.4-52.7), with the highest estimates observed in the South and Southeast. Multimorbidity was associated with being female (aPR = 1.33; 95% CI: 1.27-1.39), being 80 years old or older (aPR = 1.12; 95% CI: 1.05-1.19), having low education (aPR = 1.16; 95% CI: 1.07-1.25), past cigarette use (aPR = 1.16; 95% CI: 1.11-1.21), insufficient physical activity (aPR = 1.13; 95% CI: 1.06-1.21), and screen use for 3 hours or more per day (aPR = 1.13; 95% CI: 1.08-1.18). Conclusion: Multimorbidity affects more than half of the elderly population in Brazil and is associated with social, demographic, and behavioral factors.
Item Description:1984-0446
10.1590/0034-7167-2022-0809