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Original Article
Fall Prediction Model for Community-dwelling Elders based on Gender
Eun Suk Yun
Journal of Korean Academy of Nursing 2012;42(6):810-818.
DOI: https://doi.org/10.4040/jkan.2012.42.6.810
Published online: December 31, 2012

Ewha Womans University, Seoul, Korea.

Address reprint requests to: Yun, Eun Suk. Ewha Womans University, 52, Ewhayeodae-gil, Seodaemun-gu, Seoul 120-750, Korea. Tel: +82-2-3277-2114, Fax: +82-2-393-5903, yes100406@naver.com
• Received: March 23, 2012   • Accepted: November 8, 2012

© 2012 Korean Society of Nursing Science

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  • 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.
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Figure 1
Conceptual framework.
jkan-42-810-g001.jpg
Figure 2
Modified model with parameter estimates (Male).
jkan-42-810-g002.jpg
Figure 3
Modified model with parameter estimates (Female).
jkan-42-810-g003.jpg
Table 1
Correlation Matrix among Measured Variables
jkan-42-810-i001.jpg

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
jkan-42-810-i002.jpg

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.

Figure & Data

REFERENCES

    Citations

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    Fall Prediction Model for Community-dwelling Elders based on Gender
    Image Image Image
    Figure 1 Conceptual framework.
    Figure 2 Modified model with parameter estimates (Male).
    Figure 3 Modified model with parameter estimates (Female).
    Fall Prediction Model for Community-dwelling Elders based on Gender

    Correlation Matrix among Measured Variables

    ADL & IADL=Activities of daily living and instrumental activities of daily living.

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

    Estimates and Effects of Predictor Variables in Modified Model

    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.

    Table 1 Correlation Matrix among Measured Variables

    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

    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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