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Fall Prediction Model for Community-dwelling Elders based on Gender

Journal of Korean Academy of Nursing 2012³â 42±Ç 6È£ p.810 ~ 818
KMID : 0806120120420060810
À±Àº¼÷ ( Yun Eun-Suk ) - ÀÌÈ­¿©ÀÚ´ëÇб³ ´ëÇпø

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 (¥â32 =1.84, p<.001) accounted for 16% of the variance in the number of falls. For women, fear of falling (¥â31=0.14, p<.05) and ability to perform ADL & IADL (¥â32=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 genderbased 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.
KeyWords

Elderly, Falls, Gender
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