Tatiane Nogueira Gonzalez, Cristina Dos Santos Paludo, Rodrigo Dalke Meucci
{"title":"巴西南部农村老年人的脆弱性:基于人群的研究。","authors":"Tatiane Nogueira Gonzalez, Cristina Dos Santos Paludo, Rodrigo Dalke Meucci","doi":"10.22605/RRH7714","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>The study aimed to estimate the prevalence of vulnerability, and to identify the associated factors of vulnerability among rural community-dwelling older adults living in the municipality of Rio Grande, Rio Grande do Sul, Brazil.</p><p><strong>Methods: </strong>This was a cross-sectional, population-based study of a sample of individuals aged 60 years 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 adults 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 of 0.20 or less were included in the regression model and adjusted to a higher level, with a subsequent level of significance of 5%.</p><p><strong>Results: </strong>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).</p><p><strong>Conclusion: </strong>Vulnerability is common among rural community-dwelling older adults and is associated with sociodemographic and health characteristics.</p>","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Vulnerability among rural older adults in southern Brazil: population-based study.\",\"authors\":\"Tatiane Nogueira Gonzalez, Cristina Dos Santos Paludo, Rodrigo Dalke Meucci\",\"doi\":\"10.22605/RRH7714\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>The study aimed to estimate the prevalence of vulnerability, and to identify the associated factors of vulnerability among rural community-dwelling older adults living in the municipality of Rio Grande, Rio Grande do Sul, Brazil.</p><p><strong>Methods: </strong>This was a cross-sectional, population-based study of a sample of individuals aged 60 years 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 adults 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 of 0.20 or less were included in the regression model and adjusted to a higher level, with a subsequent level of significance of 5%.</p><p><strong>Results: </strong>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).</p><p><strong>Conclusion: </strong>Vulnerability is common among rural community-dwelling older adults and is associated with sociodemographic and health characteristics.</p>\",\"PeriodicalId\":2,\"journal\":{\"name\":\"ACS Applied Bio Materials\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2023-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Bio Materials\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.22605/RRH7714\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/9/14 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"MATERIALS SCIENCE, BIOMATERIALS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.22605/RRH7714","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/9/14 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
Vulnerability among rural older adults in southern Brazil: population-based study.
Introduction: The study aimed to estimate the prevalence of vulnerability, and to identify the associated factors of 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 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 adults 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 of 0.20 or less 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).
Conclusion: Vulnerability is common among rural community-dwelling older adults and is associated with sociodemographic and health characteristics.