Fernanda Nascimento de Oliveira, Eduarda Pereira Damião, Lucas dos Santos, Lucas Lima Galvão, Helen Rocha Machado, Rizia Rocha Silva, Sheilla Tribess, Jair Sindra Virtuoso Júnior, Douglas de Assis Teles Santos
{"title":"Prevalence and factors associated with low functional mobility in older adults","authors":"Fernanda Nascimento de Oliveira, Eduarda Pereira Damião, Lucas dos Santos, Lucas Lima Galvão, Helen Rocha Machado, Rizia Rocha Silva, Sheilla Tribess, Jair Sindra Virtuoso Júnior, Douglas de Assis Teles Santos","doi":"10.1002/agm2.12323","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Objective</h3>\n \n <p>To analyze the factors associated with low functional mobility in older adults residing in Alcobaça, BA.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>This is an epidemiological survey with a cross-sectional design, conducted in 2015 with 473 older adults (62.4% women; mean age 70.2 ± 8.2 years) from Alcobaça, BA. The interview script addressed sociodemographic characteristics, health, and behavioral aspects. Functional mobility was assessed using the Short Physical Performance Battery (≤6 points). Inferential analyses were conducted using the Mann–Whitney U test and Poisson regression (with robust variance and estimation of prevalence ratios and their respective 95.0% confidence intervals).</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>The prevalence of low functional mobility was 9.6%, with associated factors including the use of alcoholic beverages (PR = 1.7, 95% CI: 1.01–1.13) and the number of repetitions in elbow flexion (PR = 1.01, 95% CI: 1.01–1.05). Additionally, older adults with low mobility had lower height, thigh circumference, and lower performance in handgrip strength tests, elbow flexion, and flexibility. They also spent more time in sedentary behavior and less time in physical activity compared to older adults with preserved mobility (<i>p</i> < 0.05).</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>Older adults with low mobility exhibit poorer values in anthropometric parameters, lower performance in motor tests, spend less time engaged in physical activities, and more time in sedentary behavior.</p>\n </section>\n </div>","PeriodicalId":32862,"journal":{"name":"Aging Medicine","volume":"7 3","pages":"292-300"},"PeriodicalIF":2.2000,"publicationDate":"2024-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/agm2.12323","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aging Medicine","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/agm2.12323","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GERIATRICS & GERONTOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Objective
To analyze the factors associated with low functional mobility in older adults residing in Alcobaça, BA.
Methods
This is an epidemiological survey with a cross-sectional design, conducted in 2015 with 473 older adults (62.4% women; mean age 70.2 ± 8.2 years) from Alcobaça, BA. The interview script addressed sociodemographic characteristics, health, and behavioral aspects. Functional mobility was assessed using the Short Physical Performance Battery (≤6 points). Inferential analyses were conducted using the Mann–Whitney U test and Poisson regression (with robust variance and estimation of prevalence ratios and their respective 95.0% confidence intervals).
Results
The prevalence of low functional mobility was 9.6%, with associated factors including the use of alcoholic beverages (PR = 1.7, 95% CI: 1.01–1.13) and the number of repetitions in elbow flexion (PR = 1.01, 95% CI: 1.01–1.05). Additionally, older adults with low mobility had lower height, thigh circumference, and lower performance in handgrip strength tests, elbow flexion, and flexibility. They also spent more time in sedentary behavior and less time in physical activity compared to older adults with preserved mobility (p < 0.05).
Conclusion
Older adults with low mobility exhibit poorer values in anthropometric parameters, lower performance in motor tests, spend less time engaged in physical activities, and more time in sedentary behavior.