• Journal of Korean Academy of Nursing
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• v.15 no.1
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• pp.52-58
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• 1985

This study was attempted to investigate the main factors affecting health perception of the patients following cardiac valve replacement surgery. Data were collected from Sept. 1 to Oct. 31, 1984 through administration of questionnaire developed for this study by the researcher. The subject was 95 patients who received follow up care following cardiac valve replacemert surgery at S.N.U.H. The data were analyzed by T-test, oneway ANOVA, pearson correlation and multiple regression according to dependent variables. The results were as follows. \circled1 Average self-health perception of those patients. were 4.62, (maximum; 7 minimum; 1) and they showed on affirmative response for their health condition, \circled2 There was significant difference in health perception according to sex difference. Men had higher health perception than women. (t=2,83, p=0.006) \circled3 There was significant difference in health perception according to occupation. Those who had occupation showed higher health perception those who had no occupation. (t=3.25, p=0.002) \circled4 The longer post-operative period elapsed, the higher health perception was, and there was significant difference in health perception (f=0.2958, p=0.002). \circled5 The higher age was, the lower health perception was, and there was a significant difference in health perception. (${\gamma}$= -0.2485, p=0.008) \circled6 The fewer subjective psychosomatic symptoms were, the higher health perception was, and there was a significant difference in health perception. (f = -0.4988, p=0.0000) \circled7 The more active daily activities were, the higher health perception was, and there was a significant difference in health perception. (${\gamma}$=0.6359 p=0.0000) \circled8 The main factors predicting health perception .are like these. \circled1 Daily activities (42.7%), highest variable. \circled2 Psychosomatic symptoms (7.29%) \circled3 Elapsed period after cardiac valve replacement surgery (1.89%) \circled4 Existence of occupation (1.87%) \circled5 Sex (1.78%) \circled6 Age (0.8%).

• Journal of Korean Public Health Nursing
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• v.11 no.1
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• pp.39-50
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• 1997

This study was designed to identify the relationship between health perception and health behavior in nursing students and provide basic data for structuring the strategies of health promotion. The targets in this study were the 191 nursing students in nursing department of one national university in Chonju city. The data were collected during the period from 10 to 25 in Nov. 1995 by means of a structured questionnaire. Health perception was measured by the health perception questionnaire developed by Ware and translated by You. Health behavior was measured by health promotion questionnaire developed by Cho. The data were analyzed by descriptive statistics, t-test, ANOVA and Pearson correlation using the $SPSS-PC^+$ program. The results of this study were as follows; 1. The mean health perception score of the subjects was 3.21; the level of health perception was relatively high. 2. The mean health behavior score of the subjects was 3.61; the level of health behavior was relatively high. 3. When health perception and health behavior was analyzed by Pearson correlation., it was found that the higher the degree of health perception, the better the reported health behavior(r=.1463, p=.022). 4. General characteristics related to health perception were attitude and school life(p<0.05). General characteristics related to health behavior were degree, religion, attitude and school life(p<0.05).

• Women's Health Nursing
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• v.23 no.3
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• pp.181-190
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• 2017

Purpose: The purpose of the study was to identify factors influencing health promotion behavior of late-middle aged women. Methods: The subjects were 128 women who were attending a cultural center located in B metropolitan city. Data were collected from July 1 to July 31, 2016. Data were analyzed using descriptive statistics, t-test, ANOVA, $Scheff{\acute{e}}$ test, Pearson correlation coefficient, Stepwise multiple regression with SPSS/WIN 23.0 program. Results: Health promotion behavior of later middle-aged women was different by general characteristics such as religion, exercise, economic satisfaction, life satisfaction, and leisure time activities. Health promotion behavior had a positive relationship with health perception and perception of successful aging, and a negative relationship with aging anxiety. Health perception, perception of successful aging, exercise, leisure time activities (exercise and social activity) were verified significant factors influencing health promotion behavior accounted for 38%. Conclusion: The results indicate that health perception and perception of successful aging influence health promotion behavior of late-middle age women. It would provide the basic data for the development of program aimed at improving health promotion behavior of late-middle age women.

• Research in Community and Public Health Nursing
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• v.25 no.1
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• pp.65-73
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• 2014

Purpose: The aim of this study is to clarify the level of health literacy, health risk perception and health behavior of Korean elders and to determine the impact of their health literacy and health risk perception on their health behavior. Methods: A descriptive correlation study was conducted with 188 elders aged 65 or older in senior welfare centers in Busan. Questionnaires were used to measure levels of health literacy, health risk perception, and health behavior. Descriptive statistics, t-test, ANOVA, Kruskal Wallis test, Pearson's correlation, and hierarchical regression were performed. Results: 43.6% of the subjects had low levels of health literacy. There was a negative relation between health literacy and health risk perception, and between health risk perception and health behavior. There was a positive relation between health literacy and health behavior. Health concern, health literacy affected health behavior. Health literacy independently accounted for 24% of health behavior. Health risk perception didn't affect health behavior. Conclusion: Many of the Korean elders had low levels of health literacy and health literacy was independently associated with health behavior. These findings show that interventions for improving health literacy are necessary to enhance health behavior of the elderly.

• Journal of Korean Public Health Nursing
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• v.28 no.2
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• pp.298-309
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• 2014

Purpose: The purpose of this study was to investigate the degree of knowledge of hepatitis A, health perception, and health promoting behavior among young and middle-age adult's. Methods: 207 young and middle-age adult's workers living in Gyeonggi-do participated in this study and completed structured questionnaire. The knowledge of hepatitis A was assessed by the questionnaire which researchers developed. Health perception was measured by Health Perception Scale (Ware, 1979) while health promoting behavior was assessed by Lee's(2006) questionnaire. These data were analyzed with Pearson correlation coefficient, t-test, ANOVA. Results: The knowledge score of hepatitis A was 9.53; the health perception score was 3.71; the health promoting behavior score was 3.38. There were no significant differences in knowledge of hepatitis A, health perception, and health promoting behaviors. However, A significant correlation was found between health perception and health promoting behaviors. Conclusion: The knowledge of hepatitis A found to be low. Therefore further study needs to develop nursing interventions that could improve knowledge and awareness of hepatitis A.

• Journal of Preventive Medicine and Public Health
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• v.26 no.1 s.41
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• pp.86-95
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• 1993

To investigate perception and attitude toward Group Health Management and Service System for Small and Medium Industries, a survey using self-administered questionnaire was conducted to a part of industries in Inchon, at October 1992. Major dependent variables were perception, attitude, and practice related with Group Health Management and Service System; these variables were measured by 3-point Likert like scale consisted of 7, 5, and 5 items, respectively. Data were collected in 149 industries,72.7% out of 205. Perception nab slightly high, 1.25; attitude was some positive, 1.46; and practice was some passive,0.94. Major determinants of perception, attitude, and practice were sex and age of industry's health manager; perception influenced upon attitude, and perception and attitude had positive effect upon practice. To activate Group Health Management and Service System, it is necessary to develop education and promotion programs for industry's health managers of small and medium industries.

• Women's Health Nursing
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• v.12 no.2
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• pp.115-123
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• 2006

Purpose: This study was to examine the relationship between health perception, prenatal care behaviors and health promoting behaviors of unmarried pregnant women. Method: The subjects were 97 unmarried pregnant women. The data was collected through personal interviews using a questionnaire. Adjusted instruments were the health perception scale developed by Ware, prenatal care behavior scale developed by Lee, and health promoting behavior scale developed by Pender. Data was analyzed by descriptive statistics, t-test, ANOVA, and the Pearson correlation coefficient with SPSS program. Result: The mean score of health perception was 3.3, and Resistance-Susceptibility was the highest. The mean score of prenatal care behaviors was 2.9, while that of health promoting behaviors was 2.5. The relationship between health perception and prenatal care behaviors was significant(r=0.268, p=.008). The relationship between prenatal care behaviors and health promoting behaviors was also significant (r=0.633, p=.000). Conclusion: The higher the health perception of unmarried pregnant women, the more they are concerned about good prenatal care behaviors. Unmarried pregnant women did well on health promoting behaviors when they had are high degree of good prenatal care behaviors. Therefore, in order to promote positive health perceptions of unmarried pregnant women, it is necessary to develop and adjust various education and supporting programs.

• Health Policy and Management
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• v.19 no.3
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• pp.45-70
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• 2009

Outbreaks of health risks such as the Influenza A virus (H1N1) are continuing, which highlights the immediacy of risk control strategies to reduce public's fear and protect the safety of the society. Evidence suggests that success for risk management is basically dependent on the public's willingness to adopt health behaviors recommended by experts, and the behavioral intention relies on their risk perception. Understanding of how individuals think of and feel about health risks is thereby important. This article aims to provide insights for future study on health-risk perception. The main streams and recent developments of theorizing and research on health risk perception are reviewed. The issues, such as (1) health risk perception is an important component for shaping relevant health policies as it reflects public trust of the institutions managing health risks, (2) despite this significance, however, few attempts have been made to address the meaning of 'perceiving health risks' in health services research, are shed light on. On the basis on the critical discussion of the contributions and the limitations of the literature, this article finishes with a few of research agendas by three levels of analysis in risk perception research.

• Journal of Korean Academy of Nursing
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• v.31 no.4
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• pp.631-640
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• 2001

Purpose: The purpose was to investigate the physiological parameters and health perception of adults in Kyungi province area, and the correlation between these variables. The subjects were 95 adults who participated voluntarily in the health examination program. Methods: The instruments for this study were physiological parameters, which were composed of blood pressure, blood sugar, and body fat. The health perception scale developed by Ware (1976), and the health practice performance scale developed by Chang et al. (1999). Results: The average blood pressure was 137/85mmHg, the average blood sugar was 108.56mg/dl, and the average body fat arm sunt was 27.08% in males, and 30.07% in females. There were significant negative correlation between health perception and blood sugar (r=-2.36, p=.01), and body fat (r= -2.77, p=.001). There were significant positive correlations between blood pressure and health behavior (r=2.76, p=.001). However a significant correlation between health perception and health behavior was not found. Of the sociodemographic characteristics, sex (F=5.42, p=.01), and marital status (F=3.29, p=.04) were related to blood pressure. Also sex (F=4.17, p=.04) was related to body fat, and sex (t=4.04, p=.03) was related to health perception and disease status (t=4.33, p=.040). Thus having a relationship with health behavior. Conclusion: It is suggested that health perception provide important information about health status. However, this study has not shown a correlation between health perception and health behavior. Therefore further research is needed to find the other variables related to health behavior.

• Journal of Korean Academy of Nursing Administration
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• v.17 no.2
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• pp.198-208
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• 2011

Purpose: This study was done to examine the effects of mood state, resourcefulness, and health perception on health promoting behavior of hospital nurses. Methods: Convenience sampling was conducted for nurses working at three University hospital and 336 nurses were selected. Data were analyzed using SPSS 18.0. Results: The results of the analysis showed that the score for nurses' mood state was $41.76{\pm}18.90$; for resourcefulness, $11.30{\pm}20.63$; for health perception, $3.32{\pm}.77$, and for health promoting behavior, $111.55{\pm}17.76$. Mood state, resourcefulness, and health perception were significantly correlated with health promoting behavior. The overall explanatory power of the effects of nurses' mood state, resourcefulness, and health perception on health promoting behavior was 27.8%. Conclusion: Study results indicate that better mood state, higher resourcefulness, and higher health perception result in more health promoting behavior.