• Journal of Korean Public Health Nursing
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• v.35 no.1
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• pp.165-178
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• 2021

Purpose: This study examined the correlations between the health promotion behavior, perceived health status, and health-related quality of life(HRQOL) to identify the factors influencing HRQOL of industrial employees, Methods: The target of this study was 126 industrial the employees in a vehicle company who understood the purpose of the study and agreed to participate. The collected data were analyzed by frequency, percentage, mean, standard deviation, independent t-test, one way ANOVA, Scheffé test and hierarchical regression analysis using SPSS 25.0 program. Results: Hierarchical regression analysis showed that the Perceived Health Status was the influencing factor of Physical Component Summary of HRQOL(��=.56, p<.001), which had an additional explanatory power of 21.2%. The influencing factor of Mental Component Summary of HRQOL was Health Promotion Behavior(��=.32, p<.001), which had an additional explanatory power of 17.2% and Perceived Health Status(��=.29, p=.002), which had an additional explanatory power of 5.1%. Conclusion: To improve the HRQOL of life of industrial employees, counseling and education that recognizes the current state of health and induces positive health awareness are necessary, and appropriate promotion programs without limiting the time and place are needed.

• Child Health Nursing Research
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• v.15 no.2
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• pp.236-244
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• 2009

Purpose: The purpose of study was to identify the influence of parenting efficacy on health promotion behavior during early childhood and to provide baseline data for developing health promotion programs. Methods: This study was a cross-sectional survey research study. The participants were 202 parents of children in early childhood selected by convenience sampling. From October 1 to October 8, 2008 data were collected using structured and self-report questionnaires. Results: The mean score for parenting efficacy for these parents was 3.54, and health promotion behavior had a mean score of 3.21. The health promotion behavior was statistically different according to the child's health status, fathers' smoking habits, and mothers' eating habits. Parenting efficacy (17%) was the best predictor, followed by child's health status in early childhood (2%), and mothers' eating habits (1%) which together explained 20% of the variance in health promotion behavior during early childhood. Conclusion: The findings indicate that parenting efficacy of parents is an important factor for enhancing health promotion behavior in early childhood. Therefore, health professionals must establish strategies to improve the parenting efficacy of parents in order to promote health promotion behavior for children in early childhood.

• 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.

• Research in Community and Public Health Nursing
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• v.9 no.2
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• pp.410-424
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• 1998

The purpose of this study was to determine the relationship between social support and health behavior in girl high school students in all girl schools. The subjects were 190 girls in 2 Kunsan schools. The instruments used for this study were the social support scale developed by Park(1985) and the health behavior scale developed by Walker etc(1987). As modified by Lee & Han(1996). The data were analysed by correlation coefficient, regression coefficient using an SAS program. The results of this study were as follows: 1. The mean score of social support was 3.96 and the mean score of health behavior was 3.33. 2. 1) General characteristics were related to the degree of social support: personality, spending money, friend number, exercise(p<0.05). 2) General characteristics were related to the degree of health behavior: personality, spending money, friend number, exercise, stress(p<0.05). 3. The hypothesis of this study, 'The higher the degree of social support perceived by the student, the higher the degree of health behavior' was supported(r=0.5730, p=0.0001). For these subjects, there was a significant relationship between social support and the degree of health behavior. Nurses should plan interventions in promotion health behavior with social support as a significant factor in adolescents. If so, their coping ability and well- being may be promoted.

• Journal of Digital Convergence
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• v.16 no.2
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• pp.421-430
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• 2018

The purpose of this study is to analyze the scale of health risk behaviors among adolescents in Daegu area. The purpose of this study was to develop a health risk behavior measurement item for the adolescent adolescents in Korea and to analyze the validity (CVR) of the existing THI measurement items and then to quantify the health risk behavior Were compared and analyzed. As a result of the analysis, the reliability of the health risk behavior scale of adolescents developed through the factor analysis was verified to derive measurement items such as general condition, respiratory, circulatory, digestive, mental health and other items. The reliability and validity of the developed health risk behavior scale were found to be fairly good. Through these studies, it will be possible to develop a preventive program that can reduce the risk of health related adolescents' youth, and to devise a strategy that can provide basic data for policy formulation.

• Research in Community and Public Health Nursing
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• v.19 no.2
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• pp.167-176
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• 2008

Purpose: The goal of this study was to find out factors influencing the health promotion behavior of low-income vulnerable 4th, 5th and 6th-grade elementary school students. The specific goals were: first, to find out difference in health knowledge, self-esteem and health promotion behavior according to general characteristics; second, to investigate the correlations among health knowledge, self-esteem and health promotion: and, third, to analyze factors influencing health promotion behavior. Methods: The subjects of this study were 137 low-income vulnerable 4th, 5th and 6th-grade elementary school children who were participating after-school programs in Seoul. Results: Statistically significant differences were observed in health knowledge, self-esteem and health promotion behavior between girls and boys. In the sub categories, differences were observed in personal hygiene and health responsibility, stress management and personal relationship. The correlation of health promotion behavior with self-esteem and health knowledge was statistically significant. Regression analysis revealed that the influencing factor is self-esteem with the other variables under control. Conclusion: Health promotion education requires low-income vulnerable elementary children to increase their self-esteem. We recommend that it should be one of the most effective ways to split boys and girls to educate them in disparate classrooms.

• Journal of Korean Public Health Nursing
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• v.19 no.1
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• pp.41-52
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• 2005

This study was designed to provide a base for nursing intervention to help apheresis blood-donors to perform health promotion behavior effectively by surveying their health promotion behavior and by analyzing the critical factors. The study subjects were 468 participants in platelet donation at a university hospital apheresis unit in Seoul. The data for this study were collected between May and June. 2002. by questionnaire. Data were analyzed by t-test, ANOVA. Scheffe test, Pearson correlation coefficient. and stepwise multiple regression. The results were as follows. 1. The degree of performance of health promotion behavior of the subjects was a total average score of $152.9\pm21.5$ points and a mean score of 2.7 points. The highest score was 'I have a good relationship with others' in the factor of self-actualization and interpersonal support. The lowest score was 'I have my blood pressure checked regularly' in the factor of health responsibility. 2. Considering the classification according to the subjects' general characteristics. the health promotion behavior score was significantly higher for soldiers than high school students, for religious believers than atheists. and for high class economic status than mid and low class economic status. Also the health promotion behavior score was higher for those who had made more than five blood donations than those who had made zero or one donation. and for those who had made more than four blood donations than for those who had made less than four blood donations in the previous times of apheresis blood donation. The score was also higher for those not having a relationship with recipient than those having a relationship. 3. The self-efficacy related to donation. general self-efficacy and self-esteem had a significant correlation with the performance in health promotion behavior. 4. The critical factors that influenced the health promotion behavior were explained by $35.6\%$ of the general self-efficacy and by $40.2\%$ of the total of self-efficacy related to donation, and previous times of apheresis blood donation. The health promotion behavior score of apheresis blood-donors differed according to job, religion, economic status, previous times of whole blood donation, previous times of apheresis blood donation, and relationship with recipient. The health promotion behavior and self-efficacy related to donation, general self-efficacy, and self-esteem showed significant positive correlation with one another. The general self-efficacy, self-efficacy related to donation, and previous times of apheresis blood donation appeared to be the significant predictive factors of health promotion behavior. Therefore, from these study results, it is necessary to establish more effective and organized nursing intervention strategies for the health promotion behavior of apheresis blood-donors.

• Korean Journal of Occupational Health Nursing
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• v.23 no.3
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• pp.154-162
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• 2014

Purpose: This study examined self-efficacy, emotional labor, and health promoting behaviors. It also investigated factors affecting health promoting behaviors of nurses working for tertiary and general hospital. Methods: Between June and July 2013, a convenience sample of 233 subjects was collected from 2 tertiary hospitals and 4 general hospitals. The data analysis was done with ANOVA, t-test and stepwise multiple regression. Results: Emotional labor of the subjects was slightly lower than that of other nurses and the average level of health promoting behaviors was lower than the median. Health promoting behaviors were differentiated by education, hospital type, and monthly income. Self-efficacy showed positive correlation with HPLP-II, but emotional labor showed negative correlation with self-efficacy and HPLP-II. The most significant factor affecting health promoting behaviors was self regulation(16.3%). The combination of self regulation, attentiveness to required display rules, BSN, preference to task difficulty, and monthly income(${\geq}300$) accounted for 25.4% of health promoting behavior. Attentiveness to required display rules was a negative factor of HPLP-II. Conclusion: When developing health promotion programs for nurses, self-efficacy should be considered and further research is needed to identify mediating variables between emotional labor and health promoting behaviors.

• Research in Community and Public Health Nursing
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• v.26 no.2
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• pp.150-159
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• 2015

Purpose: This study was performed in order to identify the relationships among self-care behavior, health conservation, and cardiovascular risk factors and to examine the influence of self-care behavior and health conservation on cardiovascular risk factors among Korean elders with diabetes mellitus. Methods: The participants were 105 elders with diabetes mellitus using senior welfare centers and elderly leisure houses in Daegu. Data were collected through interviews during the period from April to May in 2014. Self-care behavior was measured with Kim's (1997) Self-care Behavior Scale, health conservation with Sung's (2005) Health Conservation Scale, and cardiovascular risk factors with the Arizona Heart Institute Cardiovascular Risk Factor Questionnaire. Collected data were analyzed through one-way ANOVA, independent t-test, Pearson's correlation, and stepwise multiple regression using the SPSS/WIN 19.0 program. Results: A negative correlation was found between self-care behavior and cardiovascular risk factors, and between health conservation and cardiovascular risk factors. Self-care behavior explained 6% and health conservation did 49% of variance in elderly diabetes mellitus patients' cardiovascular risk. Conclusion: The results indicate that, in order to reduce cardiovascular risk factors among Korean elders with diabetes mellitus, we need nursing interventions for increasing health conservation and self-care behavior.

• The Korean Journal of Emergency Medical Services
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• v.2 no.1
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• pp.36-46
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• 1998

The study was conducted to investigate the health promoting behavior, self-esteem and social support of college students. The subjects were 170 college students(health related department and non health related department) of college in K, C, U city. The instruments used for this study were a survey of general characteristics(9 items), health promoting behavior(47 items), self-esteem(10 items), social support(25 items). Analysis of data was done by use of mean, percentage, t-test, ANOVA, Pearson correlation coefficient and stepwise regression with SAS program. The results of this study are as follows ; 1. Health promoting behavior were showed significant difference in two groups. 2. Health promoting behavior of two groups according to general characteristics were showed significnant difference in religon, personality, exercise, health food choice of A group and perceived health status, personality, exercise, health food choice of B group. 3. Significant correlation between exercise and health promoting behavior, self-esteem and social support, social support and health promting behavior in A group and between perceived health status and exercise, perceived health status and social support, perceived health status and health promoting behavior, self-steem and social support, exercise and health promoting behavior, self-esteem and health promoting behavior, social support and health promoting behavior in B group was found. 4. Significant correlations were found between most of the subscales of total health promoting behavior. 5. Predicting factor of health promoting behavior were social support and exercise in A group(51.74%) and social support, exercise and self-esteem in B group(41.18%).