Journal List > J Korean Acad Nurs > v.42(6) > 1002863

Yun: Fall Prediction Model for Community-dwelling Elders based on Gender

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 (β32=1.84, p<.001) accounted for 16% of the variance in the number of falls. For women, fear of falling (β31=0.14, p<.05) and ability to perform ADL & IADL (β32=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.

Figures and Tables

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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Table 1
Correlation Matrix among Measured Variables
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ADL & IADL=Activities of daily living and instrumental activities of daily living.

*p<.05; **p<.01.

Table 2
Estimates and Effects of Predictor Variables in Modified Model
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FOF=Fear of falling; ADL & IADL=Activities of daily living and instrumental activities of daily living; SE=Standard error; CR=Critical ratio;

SMC=Squared multiple correlation.

Regression weight (Standardized regression weight).

*p<.05; **p<.01; ***p<.001.

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