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HOME > J Korean Acad Community Health Nurs > Volume 21(4); 2010 > Article
Original Article
The Influencing Factors of Influenza Vaccination in the Elderly Participating in Lifetime Transitional Health Examination
Eun-Shil Yim, Kyung-Ha Kim, Hyun-Ju Chae
Journal of Korean Academy of Community Health Nursing 2010;21(4):502-511.
DOI: https://doi.org/10.12799/jkachn.2010.21.4.502
Published online: April 4, 2014

1Senior Research Fellow, NHIC Health Insurance Policy Research Institute, Korea.

2Researcher, NHIC Health Insurance Policy Research Institute, Korea.

3Part-time Lecturer, College of Nursing, Sungshin Women's University, Korea.

• Received: November 2, 2010   • Revised: December 16, 2010   • Accepted: December 16, 2010

© 2010 Korean Academy of Community Health 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 investigate the influencing factors of influenza vaccination in the elderly participating in lifetime transitional health examination.
  • Methods
    This study was a secondary analysis of data collected from lifetime transitional health examination (for 66-year-old people) conducted by the National Health Insurance Corporation (NHIC) from January 1 to December 31, 2008. Questionnaires were received from NHIC to obtain information regarding gender, chronic diseases, health-related behaviors, and ADL. A total of 255,333 participants who responded all the questions in the questionnaire were included in the analysis. Collected data were analyzed by descriptive statistics, χ2 test, and multiple logistic regression.
  • Results
    The influenza vaccine coverage rate in 66-year-old people was 66.1%. The influenza vaccine coverage rate was higher in female elders and those with hypertension, diabetes, heart disease or past smoking, and lower in those with stroke, current smoking, drinking, no-exercise or ADL-dependency.
  • Conclusion
    Strategies for improving the influenza vaccination coverage rate in the elderly are needed. The strategies should give priority to the elderly with current smoking, drinking, and no-exercise, and home visiting programs are needed for the elderly with stroke and ADL-dependency.
Table 1
General and Health Related Characteristics (N=255,333)
jkachn-21-502-i001.jpg

Multiple response; Activities of daily living.

Table 2
Differences in Influenza Vaccination Coverage Rate by General and Health Related Characteristics (N=255,333)
jkachn-21-502-i002.jpg

Activities of daily living.

Table 3
Differences in Influenza Vaccination Coverage Rate by Number of Chronic Disease (N=255,333)
jkachn-21-502-i003.jpg
Table 4
Differences in Influenza Vaccination Coverage Rate by Healthy Life Style (N=255,333)
jkachn-21-502-i004.jpg
Table 5
Influencing Factors of Influenza Vaccination in Elderly (N=255,333)
jkachn-21-502-i005.jpg

*p<.001.

Activities of daily living; -log likelihood=4,599.146 (p<.001), Cox and Snell R2=0.19, Nagelkerke R2=0.25.

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    The Influencing Factors of Influenza Vaccination in the Elderly Participating in Lifetime Transitional Health Examination
    The Influencing Factors of Influenza Vaccination in the Elderly Participating in Lifetime Transitional Health Examination
    Table 1 General and Health Related Characteristics (N=255,333)

    Multiple response; Activities of daily living.

    Table 2 Differences in Influenza Vaccination Coverage Rate by General and Health Related Characteristics (N=255,333)

    Activities of daily living.

    Table 3 Differences in Influenza Vaccination Coverage Rate by Number of Chronic Disease (N=255,333)

    Table 4 Differences in Influenza Vaccination Coverage Rate by Healthy Life Style (N=255,333)

    Table 5 Influencing Factors of Influenza Vaccination in Elderly (N=255,333)

    *p<.001.

    Activities of daily living; -log likelihood=4,599.146 (p<.001), Cox and Snell R2=0.19, Nagelkerke R2=0.25.


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