J Korean Acad Nurs.  2012 Dec;42(6):810-818. 10.4040/jkan.2012.42.6.810.

Fall Prediction Model for Community-dwelling Elders based on Gender

• Yun ES

• KMID: 1499508
• DOI: http://doi.org/10.4040/jkan.2012.42.6.810

Abstract

PURPOSE
This study was done to explore factors relating to number of falls among community-dwelling elders, based on gender.
METHODS
Participants were 403 older community dwellers (male=206, female=197) aged 60 or above. In this study, 8 variables were identified as predictive factors that can result in an elderly person falling and as such, supports previous studies. The 8 variables were categorized as, exogenous variables; perceived health status, somatization, depression, physical performance, and cognitive state, and endogenous variables; fear of falling, ADL & IADL and frequency of falls.
RESULTS
For men, ability to perform ADL & IADL (beta32=1.84, p<.001) accounted for 16% of the variance in the number of falls. For women, fear of falling (beta31=0.14, p<.05) and ability to perform ADL & IADL (beta32=1.01, p<.001) significantly contributed to the number of falls, accounting for 15% of the variance in the number of falls.
CONCLUSION
The findings from this study confirm the gender-based fall prediction model as comprehensive in relation to community-dwelling elders. The fall prediction model can effectively contribute to future studies in developing fall prediction and intervention programs.

Keyword

Elderly; Falls; Gender

MeSH Terms

*Accidental Falls
Activities of Daily Living
Aged
Cognition
Depression/pathology
Fear
Female
Health Status
Humans
Male
Middle Aged
Motor Activity
Program Development
Sex Factors
Somatoform Disorders/pathology

Figure

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  Figure 1 Conceptual framework.

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  Figure 2 Modified model with parameter estimates (Male).

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  Figure 3 Modified model with parameter estimates (Female).

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