• Korean Journal of Occupational Health Nursing
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• v.17 no.2
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• pp.180-190
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• 2008

Purpose: The present study was intended to assess stress, depression and fatigue of nurses working for university hospitals and to reveal its association with the type A behavior pattern. Method: The self-administered questionnaires were given to 810 nurses employed in 4 participating hospitals located in Daejeon City. The questionnaire items included sociodemographic, job-related, and the type A behavior patterns as independent variables and the PWI, SDS and MFS as dependent variables. Result: The proportion of the type A behavior pattern was 24.3% of subjects, in the degree of stress, high risk stress group was 87.0%, in the degree of depression, normal group was 60.9%, in the degree of fatigue, high risk fatigue group was 48.6%. The degree of stress, depression, and fatigue were significantly higher in the type A behavior pattern group then the type B behavior pattern group. The type A behavior pattern was significant positive correlation with stress, depression, and fatigue. The degree of stress(OR=1.2, 95%CI=1.167-1.262), depression(OR=1.1, 95%CI=1.11-1.17) and fatigue (OR=1.1, 95%CI=1.04-1.06) were significantly higher for the type A then the type B behavior pattern group. Conclusion: The degree of stress, depression, and fatigue were significantly higher in the type A then the type B behavior pattern group.

• Korean Journal of Community Nutrition
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• v.16 no.6
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• pp.683-696
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• 2011

This study compared levels of health beliefs and health behavior practices according to lifestyle pattern among adults in Seoul. A self-administered survey questionnaire was collected from a total of 1,004 Seoul residents aged 30-59 years. The levels of perceived benefit, perceived barrier, and self-efficacy from health belief model and health behavior practices were measured across multiple health behavior areas including dietary behavior, drinking, smoking, exercise, functional food consumption, and weight control behavior. Factor analysis and subsequent cluster analysis based on 28 lifestyle questions divided the subjects into four lifestyles of society-, economy-, trend-, and health-oriented lifestyle. Some general characteristics were significantly different by lifestyles. The society-oriented lifestyle was significantly higher in proportions of men and overweight. The trend-oriented lifestyle was significantly younger and spent more monthly allowance. Health-oriented lifestyle was older. The levels of health belief variables and health behavior practices significantly differed by lifestyles. Overall the health-oriented lifestyle showed more desirable levels of health belief variables and health behavior practice in various health behavior areas compared to the other lifestyles, whereas the society-oriented lifestyle was found the other way. Health belief model variables including perceived benefit, perceived barrier, and self-efficacy were generally significant in predicting the levels of various health behavior practice, with somewhat differences by lifestyle pattern and health behavior type. The study findings suggest it may be useful to segment target subjects according to lifestyle pattern in planning and administering health education programs.

• Journal of Korean Academy of Nursing
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• v.28 no.4
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• pp.931-940
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• 1998

This study was done to describe health behavior and determine affecting factors in Korean adults, based on the Health Behavior Assessment tool. The subjects were sample of 298 adults from five cities. The instrument for this study were Health Behavior Assessment tool (30 items, 4 scale). Frequency, percentage, t-test, ANOVA, cluster analysis with SPSS program were used to analyze the data. The results of the study are as follows ; 1) The average item score for health behavior was 2.56, the highest score on the subscale was limitation of liking(M=3.16), followed by stress management (M=2.98), nutrition(M=2.82), energy conservation (M=2.67). 2) A significant difference between age, sex, perception of health, and health behavior were found. 3) Pattern of health behavior among Korean adults focused on stress management in order to obtain emotional stability, and balance and harmony in dietary life, and energy conservation. Patterns of health behavior in Korean adults is unique in each individual. Therefore nursing intervention skill for health promotion have to be developed based on the health behavior in each individual.

• Journal of Korean Public Health Nursing
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• v.12 no.2
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• pp.107-121
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• 1998

The purpose of this study was to test the revised Health Promotion Model of Pender and to determine the factors to promote health behavior for adolescents' smoking behavior. The subjects of the study was 783 boys of 4 high school students. among 39. schools locating in Daejeon metropolitan city. The data was collected from July 1st to 15th. 1997 by school health nurse The research tool were HPLP of Walker. Pender. General self-efficacy scale of Sherer. control scale was measured by subconcept of hardiness scale of Pollock. and perceived barrier. perceived benefit. activity-related-affect tool were made by researcher via literature review The data were analyzed by SAS program using frequency. t-test. ANOVA. Schefee test. regression. The results were as follows 1. The mean of total health promoting behavior was $2.27\pm.35$. Among sub domain of health promoting behavior, the highest score was interpersonal support$(2.72\pm.60)$. and the lowest was health responsibility $(1.58\pm.44)$. 2. There were statistically significant difference in total health promoting behavior according to religion. parenting style. school performance. girl friend. father's smoking of individual characteristics. 3. The socioeconomic status. smoking, parent pattern. family structure of individual characteristics and experience domain associated with perceived benefit. perceived barrier. activity-related affect. interpersonal influence of behavior-specific cognition and affect domain. The perceived barrier. self-efficacy. girl friend and father's smoking of interpersonal influence. and control explained $25.8\%$ of variance of health promoting behavior. From above results school health nurse has to emphasize on health responsibility for health promotion of adolescent. But they couldn't intervene for parent pattern. socioeconomic status. family structure of individual characteristics and experience domain. it could be possible for school health nurse to promote health of adolescents through improving perceived barrier. also develop program to increase self-efficacy and through parent health class for fathers. Above results point to the importance of including parents in smoking prevention effort targeting adolescents. Because increasing control also promotes health of adolescents. it should be studied further about the specific measure. To verify the variables for increasing the fitness of health promoting model. it needs further replication of the research.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.11
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• pp.4861-4868
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• 2011

This study intends to investigate the health behavior, self-efficacy, behavior pattern and social support among hospital of nurses, to provide the basic data for self-efficacy promoting program and social support promoting program. The self-administered questionnaires were given to 202 nurses employed in hospital during the period from June 10 to June 26, 2011. As a results, the score of level of self-efficacy was statistically significant difference according to educational status, working period, marital state, place of duty, religion, night-duty, distribution of household labor, exercise and stress management. The score of level of social support was statistically significant difference according to place of duty, religion and distribution of household labor, alcohol drinking, smoking, and stress management. But the score of level of behavior pattern was not statistically significant difference according to self-efficacy and social support. In correlation, the score of self-efficacy level correlated positively with social support and not with behavior pattern.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.6
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• pp.2589-2599
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• 2012

This study was intended to assess fatigue symptoms of nurses working for general hospitals and to reveal its association with the type A behavior pattern. The self-administered questionnaires were given to 306 nurses employed in general hospitals from May, 1st to June, 30th 2011. As a results, The proportion of behavior pattern was 50.7%, of type A, and 49.3% of type B. The distribution of fatigue symptoms was 76.8% of normal group, and 23.2% of high risk group. In terms of the distribution of fatigue symptoms according to the type A behavior pattern, the normal group of fatigue symptoms was higher in the type B behavior pattern group, but the high risk group of fatigue symptoms was higher in the type A behavior pattern group. The type A behavior pattern was significant positive correlation with fatigue symptoms. In logistic regression analysis, the adjusted odds ratio of the high risk fatigue symptoms were significantly increased in the group of type A behavior pattern than type B behavior pattern. As a conclusion, fatigue symptoms was higher in the group of type A behavior pattern than the group of type B behavior pattern. Hereafter, the sustainable study would require that the relation between type A behavior pattern and fatigue symptoms to the various study subjects.

• Journal of muscle and joint health
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• v.13 no.2
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• pp.94-107
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• 2006

Purpose: The purpose of this study was investigate the empowerment, health behavior and life satisfaction in elderly home residents according to living situations. Method: Data were collected from September to October, 2005. The participants were 240 elderly people who lived at home. Date were collected using structured questionnaire and analysed using t-test, ANOVA, Sheffe test. Result: Empowerment in elderly home residents according to living situations was significantly different(F=3.35, p=.006). Health behavior in elderly home residents according to living situations was not different significantly(F=.88, p=.492). However, questionnaire of "only the elderly couple lives" showed the highest health behavior score as an average 3.05$({\pm}.24)$. Life satisfaction in elderly home residents according to living situations was not different significantly(F=1.67, p=.143). There was a positive correlation between empowerment, health behaviors and life satisfaction. Conclusion: Considering that the single home which only the elderly people reside is the one of general family patterns of the aged people, the elderly people shall acknowledge the difference of values between a family pattern which takes a serious view of family or sons/daughters and a family pattern which reflects a weak supporting consciousness by a nuclear family. Based on above facts, Nurses should develope the nursing strategies to promote life satisfaction in the elderly.

• Korean Journal of Health Education and Promotion
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• v.28 no.4
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• pp.51-61
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• 2011

Objectives: The main purpose of this study was to examine factors associated with depression of middle school students in relation to self-esteem, type A behavior pattern, and locus of control. Methods: A survey was administered to a convenience sample of 309 middle school students. The data analysis procedure included frequency distribution, t-test, ANOVA, Pearson correlation coefficients, and stepwise multiple regression using depression as the dependent variable. Results: The prevalence of depression was 27.2%. Stepwise multiple regression revealed that the factors such as self-esteem(${\beta}$=0.422, p<0.001), type A behavior pattern(${\beta}$=0.166, p<0.001), and locus of control(${\beta}$=-0.165, p<0.001) turned out to be significant affecting factors. Forty nine percent of variance in depression was explained by these factors(40% of variance by self-esteem). Conclusions: The findings suggest that personal internalizing variables should be considered when developing mental health education program to prevent the occurrence of depression for middle school students.

• Journal of Korean Public Health Nursing
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• v.11 no.2
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• pp.83-93
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• 1997

This study was done for the purpose of investigating college students' body weight and health behavior. The subjects for this study were 1421 students obtained by a convenient sampling from one junior college located in Mok-Po. The data were analyzed by self-reporting questionnaire from June 18 to 28, 1996. The data were analyzed by descriptive statistics with SAS program. The results were as followed; Factors of comparatively high contribution to overweight were male students, perception they were healthy. smoking, alcohol drinking, irregular sleep and eating pattern, sleep for 9 hours over, regular exercise, no snack, diet control for weight loss. Factors of comparatively high contribution to underweight were female students. perception they were unhealthy. no smoking and alcohol drinking. irregular sleep and eating pattern. high rate of snack, sleep for 9 hours over. In conclusion overweight and underweight were correlated with seven health habits' and we suggest health education related to seven health habits.

• 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.