Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz

Logo MUG-Forschungsportal

Gewählte Publikation:

SHR Neuro Krebs Kardio Lipid

Taheri-Kharameh, Z; Bashirian, S; Heidarimoghadam, R; Poorolajal, J; Barati, M; Rasky, E.
Predictors of Fall Protective Behaviors Among Iranian Community-Dwelling Older Adults: An Application of the Protection Motivation Theory
CLIN INTERV AGING. 2020; 15: 123-129. [OPEN ACCESS]
Web of Science FullText FullText_MUG

 

Autor/innen der Med Uni Graz:
Rásky Éva
Altmetrics:

Dimensions Citations:
Plum Analytics:


Scite (citation analytics):

Abstract:
Purpose: The protection motivation theory (PMT) is a common framework understanding the use of protective behaviors. The aim of this study was to assess the predictors of fall protective behaviors among community-dwelling older adults, Iran. Methods: The cross-sectional study was conducted in Qom, Iran, from May to October 2018. Three hundred older people were selected from retirement centers via stratified sampling method. Data were collected by a questionnaire containing items on socio-demographic information, Falls Behavioral (FaB) Scale, and PMT constructs scale. Data analysis was performed using descriptive statistics and structural equation modeling. Results: Themean (SD) age of the participants was 64.6 (5.5) and the majority were male (77.7%). Level of perceived fall threat was lower than perceived efficacy of fall protective behaviors. There was a significant relationship between protection motivation and fall protective behaviors (beta=0.515, t-value=13.650). Coping appraisals (beta=0.409, t-value=7.352) and fear (beta=0.194, t-value=2.462) were associated with motivation. The model explained approximately 27% of the variance in fall protective behaviors. The goodness of fit index of 0.48 indicating the model good fit. Conclusion: The results indicated that protection motivation, coping appraisals and reasonable fear are considered as the strongest predictors of fall protective behaviors among older people. The results can help health care providers to develop appropriate interventions to fall prevention among older people.

Find related publications in this database (Keywords)
fall prevention
protection motivation theory
coping appraisals
threat appraisals
aging
© Med Uni Graz Impressum