Older People Living Alone: A Predictive Model of Fall Risk

Int J Environ Res Public Health. 2023 Jul 3;20(13):6284. doi: 10.3390/ijerph20136284.

Abstract

Falls in older people are a result of a combination of multiple risk factors. There are few studies involving predictive models in a community context. The aim of this study was to determine the validation of a new model for predicting fall risk in older adults (65+) living alone in community dwellings (n = 186; n = 117) with a test-retest reliability study. We consider in the predictive model the significant factors emerged from the bivariate analysis: age, zone, social community resources, physical exercise, self-perception of health, difficulty to keep standing, difficulty to sit and get up from a chair, strain to see, use of technical devices, hypertension and number of medications. The final model explained 28.5% of the risk of falling in older adults living alone in community dwellings. The AUC = 0.660 (se = 0.065, IC 95% 0.533-0.787, p = 0.017). The predictive model developed revealed a satisfactory discriminatory performance of the model and can contribute to clinical practice, with respect to the evaluation of risk of falling in this frailty group and preventing falls.

Keywords: falls prediction; living alone; nursing; older people; risk of falling.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Exercise*
  • Home Environment*
  • Humans
  • Independent Living
  • Reproducibility of Results

Grants and funding

This work has been done within the research project Alertfalls—Prevenção de quedas em pessoas mais velhas a viverem sós (NORTE -01-0145-024077), supported by Norte Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement.