Abstract

Objective: To identify factors associated with the risk of falls in older women engaged in regular physical exercise. Methods: Observational cross-sectional study with a non-probability and intentional sample conducted between April and July 2016 in Petrolina, Pernambuco, with 109 women (60-84 years old) doing Pilates, water aerobics and swimming, with and without history of falls. A questionnaire addressing sociodemographic data, comorbidities and number of medications used was used as the instrument of data collection in addition to Body Mass Index (BMI), gait performance by the Time Up and Go (TUG) test and balance by the Berg Balance Scale (BBS). Data were analyzed using Kruskal Wallis test, Spearman’s correlation and linear regression. Results: A gait performance deficit was observed with advancing age (p<0.05). In the assessment of body balance, octogenarians showed a risk for falling (p<0.05). Logistic regression analysis indicated that the risk of falls was increased by 22% due to attention deficit and by 21% due to daily use of more than three types of medication (p<0.05). Conclusion: Cognitive deficit and the number of medications used were predictors of falls in older women doing regular physical exercise.

Highlights

  • identify factors associated with the risk of falls

  • in older women engaged in regular physical exercise

  • intentional sample conducted between April

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Summary

Predictive factors of falls in women practicing physical exercise

Objetivo: Identificar fatores preditores de quedas em idosas praticantes de exercício físico. Utilizou-se como instrumento de coleta um questionário para dados sociodemográficos, comorbidades, número de medicações, índice de massa corporal (IMC), desempenho da marcha pelo teste Time up and Go (TUG) e equilíbrio pela escala do equilíbrio de Berg (EEB). Para a análise dos dados, utilizou-se o teste de Kruskal Wallis, correlação de Spearman e regressão linear. Na avaliação do equilíbrio corporal, octogenárias apontaram risco para queda (p

Nascimento MM
Findings
TUG BERG

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