• Journal of Korean Public Health Nursing
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• v.19 no.2
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• pp.305-315
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• 2005

Purpose: The purpose of this study was to investigate the relationships among depression, sleep patterns and health promoting behavior in female college students. Methods: The subjects of this study consisted of 350 college students. The data was collected through self-administered questionnaires from November to December of 2004. The data was analyzed via the SPSS computer program by using descriptive statistics, t-tests, ANOVA and Pearson's correlation coefficients. Results: There are significant differences and impacts on depression according to the amount of coffee consumed, the time spent on computer and the amount of smoke inhaled. Sleep patterns differ depending on one's college major, the time spent on computer, and the amount of smoke inhaled. Health promotion behavior was shown to be significantly different according to the living style, college major and how much TV was watched The mean scores for depression, sleep patterns, health promoting behavior were 1.45 (on a 3 points scale), 2.71 (on a 4 points scale), and 3.03 (on a 5 point scale), respectively. There was a significant positive correlation between sleep patterns and health promoting behavior, and there was negative correlation between depression and health promoting behavior, and between depression and sleep patterns in college students. Conclusion: The findings of this study give useful information to create further studies on intervention programs related to health promoting behavior for college female students.

• Korean Journal of Health Education and Promotion
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• v.1 no.1
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• pp.15-41
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• 1999

This is an effort to review epidemiological research on developmental patterns of drinking behavior among youth from adolescence to young adulthood. Selected correlates for changes in drinking behavior include age, antisocial behavior, family influence, and sociodemographic characteristics such as gender, ethnicity and socioeconomic status. An emphasis is given to the relationship between antisocial behavior and developmental patterns of drinking behavior. Also, this review regards observed particular patterns of drinking behavior as being contextualized by group to which individuals belong.

• Korean Journal of Occupational Health Nursing
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• v.18 no.2
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• pp.153-164
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• 2009

Purpose: This study investigates the relationship between job stress, depression, health-related behavior and type A behavior patterns among male workers at a steel factory. Methods: The study was done on 171 male workers, using the structured questionnaire. The data were collected in April, 2009 and analyzed by descriptive statistics, t-test, ANOVA, and pearson correlation coefficient. Results: The results showed that 65.5% of workers were under moderate stress, 25.7% high stress and 0.6% extremely high stress. The overall score of these workers' occupational stress was 41.9, lower than the Korean workers' average. Occupational stress was correlated with depression, type A behavior patterns, a very poor physical condition without sufficient sleep. Conclusion: Stress management program is strongly needed for these subjects working over 45 hours a week, with a very poor subjective physical condition, insufficient sleep, type A behavior patterns and signs of severe depression. Further longitudinal study is recommended to show the effect of such worker's stress management program to mitigate job-related stress.

• Journal of Korean Academy of Nursing
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• v.39 no.6
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• pp.805-817
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• 2009

Purpose: This ethnograpy was done to explore patterns of health care behavior in patients with chronic health problems. Methods: The participants were 15 patients with chronic hepatitis B and 2 family members. Among the patients 4 had progressed to liver cirrhosis and liver cancer. Data were collected from iterative fieldwork in a department of internal medicine of I hospital. Data were analyzed using text analysis and taxonomic methods. Results: Illness and disease, relationship between health care givers and clients, and communication patterns between health professions and clients were discussed as the context of health care behavior. Health care behavior of the participants was categorized by its focus: every day work centered, body centered, organ centered, and pathology centered. Conclusion: Participants' health care behavior was guided by folk health concept and constructed in the sociocultural context. Folk etiology, pathology, and interpretation of one's symptoms were influencing factors in illness behavior. These findings must be a cornerstone of culture specific care for the chronic diseases.

• Journal of Korean Academy of Nursing
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• v.28 no.3
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• pp.739-750
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• 1998

The purpose of this study was to identify the response patterns of Health Locus of Control (HLOC) and to analysis of the health promoting behaviors depending on the response patterns of HLOC in Korean adults. The sample was composed of 300 healthy adults ranged from twenties to seventies. In data analysis, SPSS PC/sup +/ program was utilized for descriptive statistics, pearson correlation, ANOVA and cluster analysis. The results of the study were as follows : 1. The average scores of HLOC in Korean were HLOC-I : 24.12(range 6-30), HLOC-P : .21.72, HLOC-C : 17.46. 2. The total mean score of the health promoting behavior scale was 2.50 (range 1-4), and the mean scores on the subscales were ; self actualization 2.60, health responsibility 2.14, exercise 2.28, nutrition 3.16, interpersonal support 2.74, stress management 2.15. 3. The HLOC-I and health promoting behavior were correlated positively(r =0.184, p=0.001), and the HLO-C and the health promoting behavior were correlated negatively(r=-0.102, p=0.039). The HLOC-P and the health promoting behavior weren't correlated in the level of statistical significance. 4. The response patterns of HLOC in Korean adults were identified 6 types, such as pure internal, pure chance, believers in control, yea sayer, nay sayer, and complex control. The type of believers in control and the type of yea sayer were subdivided in two different types. The believers in control was the largest group(33.67%), and yea sayer was the next large group(26.33%). The pure chance and the complex control type was the smallest groups. 5. There was a significant difference in health promoting behavior depending on the response patterns of HLOC(F=2.67, p=0.010). There were also significant differences in 4 subscales of health promoting behavior : self actualization(F=3.12, P=0.003), health responsibility(F=2.15, P=0.038), nutrition(F=5.08, p=0.000), and interpersonal support(F=2.26,p=0.029). These results suggest that the response patterns of HLOC is the important factor to predict the level of health promoting behavior in Korean adults.

• 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 Academy of Nursing
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• v.15 no.2
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• pp.49-61
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• 1985

It is assumed that the more society advances in its complexity and development, the more people pay attention to their health and accordingly the more people tend to practice health protective behavior. Most of human behavior is based on social inter-actions. The concept in Locus of Control has been developed from social learning theory to help better understanding the social phenomena affecting human behavior. Multidimensional Health Locus of Control is consisted of three dimensions: Internal, Powerful Others and Chance. This study was conducted to find out the health protective behavior patterns of the people and its relationship with Health Locus of Control as an influencing factor to their behavior. All the subjects in this study were the ones of the bank employees in Seoul, Among the total of 1,430 bank employees, 761 were chosen as a sampled subjects. Questionnair survey was conducted from March 4 to March 13, 1985. Research instruments used in this study were two kinds, one was the Health Locus of Control Scale developed by Wallston & Wallston and the other was the Measuring Scale for Health Protective Behavior developed by the investigator. Analysis of data was done by using Descriptive Statistics, X²-test, t-test, ANOVA, Pearson's correlation coefficient. The results of this study are summarized as follows: The mean score of Internal was 24.1, Powerful others was 19.7 and Chance was 15.3 out of maximum range of 6-30 respectively. The mean score of Health Protective Behavior Scale fell as 53.2 out of a maximum range of 18-90. Internals were more likely closely related with sex, educational levels and religion, Powerful others were related with age, educational levels and the number of family members. Chances were related with edu cational levels. The older the subjects were, the more concerned about their health. They tended to practice more favorable health protective behaviors. Furthermore, married people tended to fay more attention to their health than single individuals. Also, the number of family members and religion affected their attitudes in the health protective behavior patterns. Internals and Powerful Others were related with health protective behaviors. If one believes he can do something about his health and others play a significant role on his health, he is more apt protective patterns more suitable for health and actually shows that he is better off.

• Journal of Preventive Medicine and Public Health
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• v.31 no.1 s.60
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• pp.72-81
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• 1998

The purpose of this study was to investigate the relation between health behavior patterns and demographic, socio-economic characteristics, health status, health information in Korea. The quantification method through canonical correlation analysis was conducted to the data from Korea National Health Survey in 1995, which consisted of 5,805 persons. The health lifestyle patterns were quantified as good diet lifestyle, passive lifestyle to the negative direction and drinker lifestyle, smoker lifestyle, hedonic lifestyle and fitness lifestyle to the positive direction. The covariate were related to health lifestyle patterns in the order of sex, age, marital status, occupation, health information, economic status, level of physical labour and health status. Characteristics of male, age below 50, married, blue colored worker, no health information, low in economic status, heavy level of physical labour, and poor in health status were positively related to drinker lifestyle, smoker lifestyle, hedonic lifestyle, fitness lifestyle sequentially.

• Korean Journal of Health Education and Promotion
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• v.32 no.5
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• pp.17-31
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• 2015

Objectives: This paper aims to identify the health related behaviors patterns and its associated factors among marriage immigrant women in Korea, and discusses their application to health promotion strategies. Methods: The study participants were 7,591 immigrant wives in Gyeonggi province who participated in health examinations conducted by the Korea Association of Health Promotion in 2011-2013. The participants completed self-administered questionnaires on sociodemographics, psychological characteristics, health status and health care factors, and health related behaviors. Results: A 3-latent-class model of health behaviors was identified related to 'lack of physical activity', 'abnormal diet', and 'not experienced medical check-up': 'high risk class', 'middle risk class', and 'low risk class'. Most of the participants belong to 'middle risk class'. Country of origin, age, length of stay, number of children, work status, health insurance status, and unmet health care needs were associated with problematic health behaviors in middle risk health behavior class. Conclusions: Health promotion and intervention programs for marriage immigrant women and their family members need to consider the health behavior patterns of physical inactivity, abnormal diet and no medical check-up and develop multiple behavior intervention with pre-existing program modification.

• Journal of Korean Academy of Nursing
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• v.42 no.5
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• pp.759-770
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• 2012

Purpose: This ethnography was done to explore patterns of weight management behavior among adults using obesity clinics. Methods: The participants were 12 adults who were overweight or obese and 2 family members. Data were collected from iterative fieldwork in the obesity clinics of two hospitals. Data were analyzed using text analysis and taxonomic methods. Results: Weight management behaviors among participants varied according to the recognition of the body and motivation for weight control, Participants' behavior was discussed in the socio-cultural context of obesity. Patterns of weight management behavior among participants were categorized by focus: strategic self-oriented type including managements for the body as a social asset and for health, selective neglect type, and passive group value-oriented type including type dependent on others and managements for beauty. Conclusion: Participants' weight management behavior was guided by folk concepts of body and health. and constructed within the socio-cultural context. It is necessary for health care providers to understand physical and psychological problems arising from the repeated trials, excessive control of weight, and Western cultural discourse on beauty ideals among adults who are overweight or obese. Therefore, interventions should be tailored to address individual and community needs.