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Accidental falls in middle-aged women

  • Stolt, Lígia Raquel Ortiz Gomes1, 2
  • Kolish, Daniel Vieira3
  • Cardoso, Maria Regina Alves4
  • Tanaka, Clarice2, 5, 6
  • Vasconcelos, Erika Flauzino Silva7
  • Pereira, Elaine Cristina7
  • Dellú, Máyra Cecilia8
  • Pereira, Wendry Maria Paixão7
  • Aldrighi, José Mendes9
  • Schmitt, Ana Carolina Basso2, 5
  • 1 Universidade Federal da Paraíba. Departamento de Fisioterapia. João Pessoa, PB, Brasil, João Pessoa PB , (Brazil)
  • 2 Universidade de São Paulo. Faculdade de Medicina. Programa de Pós-Graduação em Ciências da Reabilitação. São Paulo, SP, Brasil, São Paulo SP , (Brazil)
  • 3 Articulab – Ortopedia Moderna Especializada. Fisioterapeuta em reabilitação ortopédica e facilitador de processos de trabalho e desenvolvimento de projetos. São Paulo, SP, Brasil., São Paulo SP , (Brazil)
  • 4 Universidade de São Paulo. Faculdade de Saúde Pública. Departamento de Epidemiologia. São Paulo, SP, Brasil, São Paulo SP , (Brazil)
  • 5 Universidade de São Paulo. Faculdade de Medicina. Departamento de Fisioterapia, Fonoaudiologia e Terapia Ocupacional. São Paulo, SP, Brasil, São Paulo SP , (Brazil)
  • 6 Universidade de São Paulo. Faculdade de Medicina. Hospital das Clínicas. Laboratório de Investigação em Fisioterapia. São Paulo, SP, Brasil, São Paulo SP , (Brazil)
  • 7 Centro Universitário FUNVIC. Curso de Fisioterapia. Pindamonhangaba, SP, Brasil, Pindamonhangaba SP , (Brazil)
  • 8 Universidade de Taubaté. Departamento de Fisioterapia. Taubaté, SP, Brasil, Taubaté SP , (Brazil)
  • 9 Universidade de São Paulo. Faculdade de Saúde Pública. Departamento de Saúde Materno-Infantil. São Paulo, SP, Brasil, São Paulo SP , (Brazil)
Published Article
Revista de Saúde Pública
Universidade de Sao Paulo Sistema Integrado de Bibliotecas - SIBiUSP
Publication Date
Dec 04, 2020
DOI: 10.11606/s1518-8787.2020054002579
PMID: 33331487
PMCID: PMC7726919
PubMed Central


OBJECTIVE To estimate the prevalence of accidental falls in women and to identify possible associations of sociodemographic, clinical and lifestyle variables with falls, in 2007 and 2014. METHODS Two cross-sectional studies were performed, in 2007 and 2014, within the Projeto de Saúde de Pindamonhangaba (PROSAPIN – Pindamonhangaba Health Project), with women aged between 35 to 75 years. Probabilistic samples were selected among women living in the municipality and participating in the Health Family Strategy. Data collection included: face-to-face interview, anthropometric examination and blood test. The outcome variable “have you fallen in the last six months?” was raised during the interview. The prevalence of falls in 2007 and 2014 were estimated by score with a 95% confidence interval (95%CI). Multiple logistic regression models were constructed to identify the association of independent variables with the occurrence of falls for each year based on the odds ratio (OR). We used the Stata 14.0 software for statistical analysis. RESULTS The prevalence of accidental falls were: 17.6% (95%CI 14.9–20.5) in 2007 and 17.2% (95%CI 14.8–19.8) in 2014. In 2007, factors associated with falls were: aged 50–64 years (OR = 1.81; 95%CI 1.17–2.80), high school (OR = 1.76; 95%CI 1.06–2.93), hyperuricemia (OR = 3.74; 95%CI 2.17–6.44), depression (OR = 2.07; 95%CI 1.31–3.27), poor sleep (OR = 1.78; 95%CI 1.12–2.82) and daytime sleepiness (OR = 1.86; 95%CI 1.16–2.99). In 2014, they were: aged 50–64 years (OR = 1.64; 95%CI 1.04–2.58), hyperuricemia (OR = 1.91; 95%CI 1.07–3.43) and depression (OR = 1.56; 95%CI 1.02–2.38), plus metabolic syndrome (OR = 1.60; 95%CI 1.03–2.47) and musculoskeletal pain (OR = 1.81; 95%CI 1.03–3.18). CONCLUSIONS Falls occur significantly in women aged 50 years or over, indicating that they are not restricted to older adults and that there is a need to initiate preventive measures earlier. Both studies showed similar magnitudes of occurrence of accidental falls and reinforced their multifactorial nature. In addition, hyperuricemia may be a potential new factor associated with falls.

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