• Journal of Preventive Medicine and Public Health
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• v.33 no.4
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• pp.415-425
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• 2000

Objectives : To determine which factors are related to young adults perception of their health. Two research questions were asked. Which aspects of health does self-perceived health as a index of general health reflect? Why do two individuals with the same level of general health have different health perceptions? Methods : The sampling frame comprised college or graduate school students, aged 20 to 29, who were members of A, one of the 4 biggest internet communication services. The questionnaires were sent to study samples(n=1,000) and answered by E-mail. Response rate was 37.0%. Results : Firstly, physical health ranked highest and self-perceived health ranked lowest. Secondly, health, anxiety, depression, and self-perceived health showed significant differences between the sexes, with women showing a higher health status in these categories except for self-perceived health. Thirdly, the two factors significantly related to self-perceived health were physical health and self-esteem, as determined by multivariate analysis, Conclusions : The factors significantly related to self-perceived health were physical health and self-esteem. Further studies of the health characteristics of young adults are needed.

• Korean Journal of Health Education and Promotion
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• v.18 no.3
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• pp.11-36
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• 2001

The purpose of this study is to analyze health behavior by comparing the difference between self-perceived health status and health examination results. The study subjects consist of 7,702 people aged over 20, surveyed by Health Interview survey, Health Examination survey, Dietary Life survey, Health Consciousness and Behavior survey. Data used in the study are drawn from raw data from a 1998 National Health and Nutrition survey. General characteristics variables are sex, age, education level, residential area, marital status, occupation, and living standard while dichotomous variables, ‘not healthy’ and ‘healthy’ are used to measure self-perceived health status. Variables for health examination results are high blood pressure, high cholesterol, diabetes, liver diseases, liver inflammation, kidney diseases, normal weight, regular diet, optimum sleeping time(7-8 hours), regular health examination and health behavior practice group. Major findings of the study are as follows: 1) Analysis of self-perceived health status and health behavior by disease: Variables significantly correlated with high self-perceived health status have strong associations with high health behavior practice, which supports the hypothesis that as one has high self-perceived health status, one is more likely to practice health promoting behavior. The results of analysis of health behavior differences by dividing subjects into two categories, ‘cases of illness’ and ‘cases of no illness’ indicate that drinking, sleeping time, health examination are significant variables (p〈0.001, 0.05) whereas smoking, weight control, regular exercise, regular diet are not significant. 2) Analysis of disparity patterns between self-perceived health status and health examination: The hypothesis that health behaviors would be different according to the disparity pattern between self-perceived health status and health examination is supported as a result of χ2 test. Among Type I : Self-perceived health status is high and actual health status is good (no disease) Type II: Self-perceived health status is high and actual health status is poor(have disease) Type III: Self-perceived health status is low and actual health status is good(no disease) Type IN: Self-perceived health status is low and actual health status is poor(have disease) Type I and Type IV show no disparity, Type I shows the highest health promoting behavior whereas Type IV shows the lowest health promoting behavior. Type II, and III, compared to Type I, practise lower health promoting behavior. Multi-logistics regression analysis was conducted to find out the degree of impact on health behavior. Independent variables are general characteristics, self-perceived health status and health examination result and presence of illness, while the dependent variable is health promoting behavior. The analysis of the impact of self-perceived health status on the health promoting behavior shows that smoking, drinking, weight control, regular exercise, health examination practice, and/or regular diet are significantly correlated to self-perceived health status. High self-perceived health status is inversely related to high health promoting behavior. This finding supports the hypothesis that the higher one perceives one's health, the more likely one is to practice health promoting behavior. On the contrary, the presence of illness has little impact on health promoting behavior. 3) Multiple logistics analysis on how disparity patterns between self-perceived health status and health examination affect health behavior: The results of multiple logistics analysis made on health behavior variables compared to the standard variable are as follows: When analyzed on the standard of Type I, smoking is a significant risk factor for the Type IV. In case of drinking, all the patterns show a high probability of relative risk ratio. With regard to weight control, it is a risk factor for Type II while all the patterns show high probability of not practising when analyzed on the standard of type IV. Type III and IV show high probability of not doing regular exercise while Type IV, shows a high probability of not taking appropriate sleeping time. When analyzed on the standard of type IV, all the patterns show a high probability of not taking health examinations. Type III and IV show a high probability of not having regular meals. As for overall health promoting behavior, Type III and IV show a high relative risk ratio. These two groups have low self-perceived health status. It implies that self-perceived health status has significant impact on health promoting behavior. This is also supported by the fact that Type I with high self-perceived health status and no illness shows a high practice rate of health promoting behavior. Types II and III the groups with high disparity between self-perceived health status and health examination results, show a low practice rate of health promoting behavior when compared to Type I. Type IV, that is the group with low self-perceived health status and actual illness, shows the lowest practice of health promoting behavior. It is highly probable that this type proves to be the poorest health group.

• Journal of Korean society of Dental Hygiene
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• v.8 no.4
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• pp.55-64
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• 2008

This study set out to identify the factors to affect the oral health promotion behavior of elementary school students and to provide a framework to develop educational programs to promote their oral health promotion behavior. A survey was conducted to 729 fifth and sixth graders attending four elementary schools in Seoul. The variables were measured with a five-point Likert scale and include previous oral health related behaviors, perceived oral health status, perceived benefit, perceived barriers, self-esteem, self-efficacy, and oral health promotion behavior. First, the subjects scored relatively high 3.51 points out of 5 in oral health promotion behavior. They also scored 3.88 points in perceived benefit, 3.51 in selfesteem, 3.43 in self-efficacy, 3.28 in perceived oral health status, 2.77 in previous oral health related behaviors, and 1.79 in perceived barriers. Second, a significant difference was observed according to gender in previous oral health related behaviors and oral health promotion behavior. And a significant difference was also found according to grade in previous oral health related behaviors, perceived benefit, perceived barriers, selfesteem, self-efficacy, and oral health promotion behavior. Third, when they had an experience of visiting a dental clinic for preventive purposes, a significant difference was found according to the purposes of going to a dentist in previous oral health related behaviors, perceived benefit, and oral health promotion behavior. And fourth, multiple regression analysis was carried out with oral health promotion behavior as a dependent variable. As a result, all the research variables, which include previous oral health related behaviors, perceived oral health status, perceived benefit, perceived barriers, self-esteem, and self-efficacy, turned out to have significant influences on oral health promotion behavior. And their explanatory power was 49%. Conclusion: Those factors that were identified to affect the oral health promotion behavior of programs to promote their oral health.

• Research in Community and Public Health Nursing
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• v.10 no.2
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• pp.347-361
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• 1999

This study was undertaken in order to determine the relationship among a health locus of control. self-esteem. perceived health status. and health promoting behavior in order to determine factors affecting health promoting lifestyle in college students. The subject were 137 students of one university in Kyungsan. The analysis of data was done with a mean. percentage. Pearson correlation coefficient. and Stepwise multiple regression with an SAS program. The result of this study ware as follows: 1. Performance in health-promoting behavior was significantly correlated with self-efficacy and self-esteem 2. Performance in self-achievement was significantly correlated with self-efficacy, self-esteem, and perceived health status. Performance in health responsibility was significantly correlated with self-efficacy and self-esteem Performance in exercise was significantly correlated with self-efficacy and perceived health status. Performance in nutrition was significantly correlated with self-efficacy. self-esteem. and perceived health status. Performance in interpersonal support was significantly correlated with self-efficacy. internal locus of control. and self-esteem Performance in stress management was significantly correlated with self-efficacy, self-esteem. and perceived health status. 3. Self-efficacy was the highest factor predicting health promoting lifestyles. 4. Self-efficacy was the highest factor predicting self-achievement. health responsibility. exercise. nutrition. and stress management. Self-esteem was the highest factor predicting interpersonal support. From this research findings, we need to develop health promoting program and health education focusing on exercise, health responsibility for college students.

• Korean Journal of Occupational Health Nursing
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• v.8 no.1
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• pp.42-55
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• 1999

The purposes of this study were to understand health-promoting behavior of client visiting health-promoting center, to identify the major subscales affecting performance in health promoting behavior to facilitate nursing intervention for health promoting of this population and to test Pender's Health Promotion Model. The subjects for this study were 177 sampled among clients from health-promoting center in General Hospital at Teajon. Data was collected by self-reported questionnaires from February 11 to May 22, 1998. Analysis of the data was done by frequency, t-test, ANOVA, Pearson Correlation Coefficient, Stepwise multiple regrssion using SPSS-PC. The results of the study were summarized as follows : 1. The mean score of performance in the health-promoting behavior was 109.22 and range was 71 to 170. The subscale of the highest mean score was self-actualization(30.77) and the subscale of the lowest mean score was exercise(10.50). 2. The most important variable in the health promoting behavior was the perceived self-efficacy. The perceived self-efficacy explained 15.8% of the variance in health promoting behavior. The combination of perceived self-efficacy, perceived barriers, religion, perceived benefits, perceived symptom, and age explained 43.5% of the variance in health promoting behavior. 3. In the relationships between individual characteristics and experience and health promoting behavior, age, religion, the significant differences in the subscale of the health promoting behavior ; sex, educational state, previous occupation, monthly income, marrital state, perceived symptom, and visiting plan of health-promoting center. 4. The health promoting behavior was statistically significant correlated with perceived benefits, perceived barriers, affect related to action, and perceived self-efficacy.

• Research in Community and Public Health Nursing
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• v.22 no.3
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• pp.325-332
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• 2011

Purpose: This study examined the fitness of a path model on the relationship among perceived health status, self-esteem, self-efficacy, and Yangsaeng for elderly women. Methods: The subjects consisted of 633 aged women. Data were collected through self.report questionnaires. The data were analyzed with the SPSS and AMOS programs. Results: Perceived health status, self-esteem, and self-efficacy showed a direct effect on elderly women's Yangsaeng while perceived health status and self-esteem showed an indirect effect on their Yangsaeng. Perceived health status and self-esteem showed a direct effect on elderly women's self-efficacy. The hypothetical path model of elderly women's Yangsaeng was proven correct. Conclusion: These results suggest that elderly women's Yangsaeng can be enhanced by increasing their perceived health status, self-esteem and self-efficacy. Based on the outcomes of this study, it is necessary to design an intervention program that emphasizes the enhancement of perceived health status, self-esteem and self-efficacy in order to improve elderly women's Yangsaeng.

• Journal of Preventive Medicine and Public Health
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• v.36 no.1
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• pp.1-10
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• 2003

Valid evaluation of self-perceived health status is important for the promotion of individual health and quality of life, In advanced countries, many types of health profile have been developed, and currently, the SF-36, NHP, and EuroQol, etc, are widely used. However, the outcomes of these profiles may vary according to regional, cultural or emotional backgrounds. For these reasons a Korean Health Profile should be developed. In this study, we reviewed the concept of self-perceived health status, and its significance to public health, and reviewed some of the differences between the available profiles in 139 related publications. Based on this review, we are trying to develop a Korean Health Profile in order to measure the self-perceived health stati of Koreans.

• Women's Health Nursing
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• v.12 no.2
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• pp.132-141
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• 2006

Purpose: The purpose of this study was to supply basic data for a health promoting program and to elevate the level of it by examining whether university students' health promoting behaviors were related to health perception, health concept, self- esteem, perceived benefits of action, perceived barriers of action, perceived self-efficacy, activity-related affect, social support, preference, prior related behavior, and a plan for action. Method: Subjects were 192 university students in K city. Data collection method was a structured questionnaire. Data was analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation, and stepwise multiple regression. Result: The most powerful predictor was previous related behavior (36%). Altogether previous related behavior, health status, a plan for action, perceived self-efficacy and number of admissions were proven to account for 57% of health promoting behaviors. Conclusion: It suggested that prior related behavior, health status, a plan for action, perceived self-efficacy, and number of admissions should be considered when developing a students' health promoting program.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.5
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• pp.1729-1736
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• 2015

Background: The purpose of this study was to investigate the associations among the internal health locus of control, depression, perceived health status, self efficacy, social support, and health-promoting behavior in Iranian breast cancer survivors and to determine influential variables. Materials and Methods: A predictive design was adopted. By convenient sampling the data of 262 breast cancer survivors in Iran were collected by questionnaires during 2014. Data were analyzed applying descriptive statistics, t-tests, one-way ANOVA, Pearson's correlation coefficients, and stepwise multiple regression. Results: The internal health locus of control, depression, perceived health status, self efficacy, social support and undergoing chemotherapy all correlated significantly with the health-promoting lifestyle. Stepwise multiple regression analysis revealed that social internal health locus of control, depression, perceived health status, self efficacy and social support and chemotherapy accounted for about 39.8% of the variance in health promoting lifestyle. The strongest influence was social support, followed by self efficacy, perceived health status, chemotherapy and depression. Conclusions: The results of the study clarifed the seriousness of social support, self efficacy, perceived health status and depression in determining the health-promoting lifestyle among Iranian breast cancer survivors. Health professionals should concentrate on these variables in designing plans to promoting a healthy lifestyle.

• Research in Community and Public Health Nursing
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• v.21 no.3
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• pp.293-302
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• 2010

Purpose: This study was to survey yangsaeng in Korean elders. Methods: A total of 250 subjects aged between 60 and 88 were selected through convenient sampling. Data were collected with a self-reported questionnaire from April 1 to 30, 2009. Collected data were analyzed with SPSS/WIN 15.0. Results: Differences in yangsaeng according to general characteristics were as follows. Total yangsaeng and all of yangsaeng categories except seasonal yangsaeng were significantly different according to self-perceived health. Diet yangsaeng was significantly different according to cohabitation, house ownership and self-perceived health. Activity and rest yangsaeng was significantly different according to age, gender, job, successful aging and self-perceived health. Exercise yangsaeng was significantly different according to gender and self-perceived health. Seasonal yangsaeng was significantly different according to successful aging and self-perceived health. Sleep yangsaeng was significantly different according to age, gender, job and self-perceived health. Sex life yangsaeng was significantly different according to all of the variables except religion and successful aging. There was a positive correlation between yangsaeng and the variables. Conclusion: The findings of this study may be useful in understanding the health status of community-dwelling elders and developing more specific health promotion programs.