J Korean Community Nurs.  2003 Dec;14(4):699-706.

A Study on the Fatigue and Health Promoting Behavior of Public Health Nurses and Hospital Nurses

Affiliations
  • 1Eulji Hospital, Korea.
  • 2Chungnam national university, Department of nursing, Korea. hlkim@cnu.ac.kr

Abstract

The objective of this study is to find out the difference in perceptional fatigue and health promoting behavior between hospital nurses and public health nurses. The subjects of this study were 141 hospital nurses and 73 public health nurses in Daejeon. Data were collected using a self-reporting questionnaire during the period from the 5th to 16th of March 2003. Collected data were analyzed using SPSS program. Real number, percentage, mean and standard deviation were calculated, and chi2-test and t-test, ANOVA, Pearson's correlation coefficient, stepwise multiple regression procedures were carried out. The findings of this study as follows: 1. The mean score of health promoting behavior was 2.71. 2. There were statistically significant differences in health promoting behavior according to age, marital status, family status, residency, educational level, income, the length of work experience and the field of work.(p<0.05) 3. There were statistically significant differences in fatigue according to age, marital status, family status, educational level, income, the length of work experience, perceived health status and the field of work.(p<0.05) 4. The fatigue was found to be in significant negative correlations with health promoting (r=-0.358, p<0.000) and self efficacy (r=-0.314, p<0.000). On the contrary, a significant positive correlation was found between fatigue and perceived barriers (r=0.210, p<0.01). 5. There were five predictors affecting health promoting behavior, which were self-efficacy, income, perceived benefit, fatigue and family support. The most influential factor was self-efficacy that made 31% of prediction, followed by income (6%), perceived benefit (5.2%), fatigue (2.2%) and family support (1.7%) in their order. As a whole, these factors made 46.1% of prediction of health promotion behavior.


MeSH Terms

Educational Status
Fatigue*
Health Promotion
Humans
Internship and Residency
Marital Status
Nurses, Public Health*
Surveys and Questionnaires
Self Efficacy
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