Prevalence, Severity, and Risk of Future Falls in Community-Dwelling Older Adults Living in a Rural Community: The Atahualpa Project

J Community Health. 2019 Jun;44(3):487-491. doi: 10.1007/s10900-019-00664-3.

Abstract

Accidental falls are a leading cause of disability and death in older adults living in urban centers. However, little is known about the consequences of falls in rural communities. We aimed to assess characteristics and risk of falls in community-dwellers aged ≥ 60 years living in rural Ecuador. Of 463 older adults enrolled in the Atahualpa Project, 327 (71%) were included. Multivariate logistic regression models were fitted to assess factors associated with history of falls and risk of future falls. Sensitivity analysis was conducted to determine which component of the Downton fall risk index (DFRI) better predicts risk of future falls. A history of falls was reported by 173 (53%) individuals. Most were related to stumbling due to uneven (non-paved) streets. Only three individuals had bone fractures after the fall. Previous falls were not associated with any of the investigated covariables. The DFRI was positive in 87 (27%) participants, and was associated with age (p < 0.001) and history of stroke (p < 0.001). None of the subjects were taking tranquilizers/sedatives. The most reliable component of the DFRI was the presence of sensory/motor deficits. History of falls in our population is similar to that reported elsewhere. However, the risk of future falls is lower. Such discrepancies are probably because the DFRI does not take into account environmental factors resulting in falls. There were almost no severe complications from falls, which could be partly related to the lack of use of tranquilizers/sedatives.

Keywords: Downton fall risk index; Falls; Older adults; Population study; Rural communities.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Accidental Falls / statistics & numerical data*
  • Aged
  • Aged, 80 and over
  • Ecuador / epidemiology
  • Female
  • Humans
  • Independent Living
  • Logistic Models
  • Male
  • Middle Aged
  • Patient Acuity
  • Prevalence
  • Risk Assessment
  • Risk Factors
  • Rural Population
  • Stroke