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A Structural Equation Model of Fall Prevention Behavior among Community-dwelling Older Adults with Osteoarthritis
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Original Article

A Structural Equation Model of Fall Prevention Behavior among Community-dwelling Older Adults with Osteoarthritis

Keong Sook Jang1, Rhayun Song2
Korean Journal of Adult Nursing 2015;27(6):684-694.
Published online: December 31, 2015

1Department of Nursing, Cheongju University, Cheongju, Korea.

2College of Nursing, Chungnam National University, Daejeon, Korea.

Corresponding author: Song, Rhayun. College of Nursing, Chungnam National University, 266 Munhwa-ro, Jung-gu, Daejeon 301-747, Korea. Tel: +82-42-580-8331, Fax: +82-42-580-8309, songry@cnu.ac.kr
• Received: September 18, 2015   • Revised: December 11, 2015   • Accepted: December 12, 2015

© 2015 Korean Society of Adult Nursing

This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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  • Purpose
    The purpose of this study was to explain fall prevention behaviors of community-dwelling elderly with osteoarthritis based on the Health Belief Model.
  • Methods
    A total of 200 older adults with osteoarthritis residing in community was recruited from July 10 to August 30, 2013. The direct and indirect effects of perceived fall risk, perceived benefits and barriers, and self efficacy of fall prevention were examined on fall prevention behaviors. Data were collected with structured questionnaires and analyzed using SPSS/WIN 20.0 and AMOS 20.0 program.
  • Results
    The hypothetical model was a good fit for the data based on the model fit indices. Among socio-demographic variables, age and fall knowledge showed significant direct effects on fall prevention behaviors. The constructed model explained 34.2% of the variance of fall prevention behaviors, including perceived fall risk and efficacy of fall prevention behaviors as significant predictors.
  • Conclusion
    The findings revealed the need to develop an effective nursing intervention to promote fall prevention behaviors of community-dwelling elderly with osteoarthritis by focusing on perceived fall risk and efficacy of fall prevention behaviors. Knowledge about fall can also be increased by an age-based education program.
  • Key Words: Elderly; Osteoarthritis; Accidental falls; Prevention; Behavior

This manuscript is a condensed form of the first author's doctoral dissertation from Chungnam National University.

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Figure 1

Conceptual framework of the study.

kjan-27-684-g001.jpg
Figure 2

Path diagram of the hypothetical model of the study variables.

kjan-27-684-g002.jpg
Table 1

Sociodemographic Characteristics and Descriptive Analysis of the Study Variables (N=200)

kjan-27-684-i001.jpg
Table 2

Fit lndex of the Hypothetical Model

kjan-27-684-i002.jpg

GFI=goodness of fit lndex; NFI=normed fit index; TLI (NNFI)=Turker-Lewis Measure (NNFI: non-normed fit index); CFI=comparative fit index; PNFI=parsimonious normed fit index; RMSEA=root mean squared error of approximation.

Table 3

Direct, Indirect, and Total Effects of the Hypothetical Model

kjan-27-684-i003.jpg

β=Standardized regression weight; SMC=squuared multiple correlation (R2); CR=critical ratio; *p<.05, **p<.001.

Figure & Data

References

    Citations

    Citations to this article as recorded by  
    • Effect of an educational intervention based on the Health Belief Model on prevention and fear of falling among older people
      Fatemeh Mohammadkhah, Fatemeh Razmjouie, Navid Alinejad, Pooyan Afzali Harsini, Ali Khani Jeihooni
      Global Health Promotion.2024;[Epub]     CrossRef
    • Risk Factors for Falls or Fractures in Stroke Patients: An Analysis of 2020 Patient Sample Data
      Miso Lee, Mikyung Moon
      The Korean Journal of Rehabilitation Nursing.2024; 27(1): 58.     CrossRef
    • Effects of a Fall Prevention Program Based on Goal Attainment Theory for Homebound Older Adults With Osteoarthritis of the Lower Extremities
      Chunhee Lee, Heeok Park
      Orthopaedic Nursing.2022; 41(6): 414.     CrossRef
    • Understanding and Prevention of Fall-related Injuries in Older Adults in South Korea: A Systematic Review
      Ki-taek Lim, Ji-eun Lee, Ha-eun Park, Su-young Park, Woochol Joseph Choi
      Physical Therapy Korea.2019; 26(2): 34.     CrossRef

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    A Structural Equation Model of Fall Prevention Behavior among Community-dwelling Older Adults with Osteoarthritis
    Korean J Adult Nurs. 2015;27(6):684-694.   Published online December 31, 2015
    DOI: https://doi.org/10.7475/kjan.2015.27.6.684
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    A Structural Equation Model of Fall Prevention Behavior among Community-dwelling Older Adults with Osteoarthritis
    Korean J Adult Nurs. 2015;27(6):684-694.   Published online December 31, 2015
    DOI: https://doi.org/10.7475/kjan.2015.27.6.684
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    A Structural Equation Model of Fall Prevention Behavior among Community-dwelling Older Adults with Osteoarthritis
    Image Image
    Figure 1 Conceptual framework of the study.
    Figure 2 Path diagram of the hypothetical model of the study variables.

    Figure 1

    Figure 2


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    A Structural Equation Model of Fall Prevention Behavior among Community-dwelling Older Adults with Osteoarthritis

    Sociodemographic Characteristics and Descriptive Analysis of the Study Variables (N=200)

    Fit lndex of the Hypothetical Model

    GFI=goodness of fit lndex; NFI=normed fit index; TLI (NNFI)=Turker-Lewis Measure (NNFI: non-normed fit index); CFI=comparative fit index; PNFI=parsimonious normed fit index; RMSEA=root mean squared error of approximation.

    Direct, Indirect, and Total Effects of the Hypothetical Model

    β=Standardized regression weight; SMC=squuared multiple correlation (R2); CR=critical ratio; *p<.05, **p<.001.
    Table 1 Sociodemographic Characteristics and Descriptive Analysis of the Study Variables (N=200)

    Table 2 Fit lndex of the Hypothetical Model

    GFI=goodness of fit lndex; NFI=normed fit index; TLI (NNFI)=Turker-Lewis Measure (NNFI: non-normed fit index); CFI=comparative fit index; PNFI=parsimonious normed fit index; RMSEA=root mean squared error of approximation.

    Table 3 Direct, Indirect, and Total Effects of the Hypothetical Model

    β=Standardized regression weight; SMC=squuared multiple correlation (R2); CR=critical ratio; *p<.05, **p<.001.

    Table 1

    Table 2

    Table 3

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