Original Research

Vulnerability among rural older adults in southern Brazil: population-based study

AUTHORS

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Tatiane Nogueira Gonzalez
1 PhD, Postdoctoral Researcher * ORCID logo

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Cristina dos Santos Paludo
2 PhD ORCID logo

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Rodrigo Dalke Meucci
3 PhD, Professor ORCID logo

AFFILIATIONS

1 Postgraduate Program in Health Sciences, Federal University of Rio Grande, Rio Grande, Rio Grande do Sul, Brazil; and Postgraduate Program in Public Health, Federal University of Acre, Rio Branco, State of Acre, Brazil

2 Postgraduate Program in Health Sciences, Federal University of Rio Grande, Rio Grande, Rio Grande do Sul, Brazil

3 Postgraduate Program in Public Health and Postgraduate Program in Health Sciences, Federal University of Rio Grande, Rio Grande, Rio Grande do Sul, Brazil; and Postgraduate Program in Health Sciences, Federal University of Rio Grande, Rio Grande, Rio Grande do Sul, Brazil

ACCEPTED: 4 May 2023


early abstract:

Objective: To analyze the prevalence of and factors associated with vulnerability among rural community-dwelling older adults living in the municipality of Rio Grande, Rio Grande do Sul, Brazil.
Methods: This was a cross-sectional, population-based study of a sample of individuals aged 60 years old or older. Data from the first follow-up of the EpiRural Cohort Study (2018-2019) were used. Vulnerability was assessed using the Vulnerable Elders Survey (VES-13). The maximum score is 10 and older adutls with scores of 3 or more are classified as vulnerable. Poisson regression with robust adjustment of variance was used for crude and adjusted analyses. For the analysis of the associated factors, a theoretical model was constructed with three hierarchical levels. The variables were adjusted in relation to each other within each level; those with a significance level ≤ 0.20 were included in the regression model and adjusted to a higher level, with a subsequent level of significance of 5%.
Results: The overall prevalence of vulnerability was 40.8% (95% CI 37.5–44.3). Vulnerability was more prevalent among women (PR=1.45; 95% CI 1.23-1.71), older adults who did not work (PR=1.70; 95% CI 1.17-2.45), those who lived without a partner (PR=1.26; 95% CI 1.07-1.47), those with diabetes (PR=1.23; 95% CI 1.03-1.48), those with depression (PR=1.21; 95% CI 1.02-1.42), those with osteoporosis (PR=1.38; 95% CI 1.15-1.66), and those with sarcopenia (PR=1.67; 95% CI 1.38-2.02).
Conclusions: Vulnerability is common among rural community-dwelling older adults and is associated with sociodemographic and health characteristics.