Literature DB >> 35043875

Factors associated with risk, perception and knowledge of falls in elderly people.

Lidia Ferreira de Souza1, Ruth Ester Assayag Batista2, Cássia Regina Vancini Camapanharo2, Paula Cristina Pereira da Costa3, Maria Carolina Barbosa Teixeira Lopes2, Meiry Fernanda Pinto Okuno3.   

Abstract

OBJECTIVE: To verify the factors associated with risk, perception, and knowledge of falls; and pain among older adults.
METHOD: A cross-sectional study carried out in the Emergency Service of a teaching hospital in the city of São Paulo between September 2019 and March 2020. We selected 197 older adults aged 65 and over, who were not disoriented or confused, of both genders. The instruments Awareness Questionnaire on the Risk of Falls, Morse Fall Scale and Numerical Pain Scales were applied. Mann-Whitney and Kruskal-Wallis tests were used.
RESULTS: Interviewees with a high risk of falls in older adults (p = 0.0041); those with a support network had a lower perception and knowledge about the risk of falls (p = 0.0025) and lower percentage of severe pain (p = 0.0033).
CONCLUSION: Factors associated with risk, perception and knowledge of falls and pain among older adults were age, family income, number of dependents, caregiver, support network, hypertension, impaired walking, antihypertensive medication, lipid-lowering medication, level of education, comorbidities and religion.

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Year:  2022        PMID: 35043875     DOI: 10.1590/1983-1447.2022.20200335

Source DB:  PubMed          Journal:  Rev Gaucha Enferm        ISSN: 0102-6933


  1 in total

1.  Machine-Learning-Based Human Fall Detection Using Contact- and Noncontact-Based Sensors.

Authors:  Ayush Chandak; Nitin Chaturvedi
Journal:  Comput Intell Neurosci       Date:  2022-09-06
  1 in total

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