• Therapeutic Science for Rehabilitation
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• v.12 no.4
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• pp.9-22
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• 2023

The Lifestyle-DEPER (Decision, Execution, Personal Factors, Environment, Resources) model explains lifestyle formation. Lifestyles are shaped through the decision, execution, and habituation stages. Factors influencing the establishment of a lifestyle are categorized as environmental, resource, and personal. The environment encompasses our surroundings and social, physical, cultural, and virtual environments. Resources refer to what individuals possess, such as health, time, economic, and social resources. Personal factors include competencies, needs, and values. At the lifestyle establishment stage, each of these factors influences a different stage. These collective processes are referred to as events, encompassing both personal and social events. Health-related lifestyle factors include physical activity, nutrition, social relationships, and occupational participation. These are the goals of lifestyle intervention. The intervention strategy based on the Lifestyle-DEPER model, called KEEP (Knowledge, Evaluation, Experience, Plan), is a comprehensive approach to promoting a healthy lifestyle by considering lifestyle formation stages and their influencing factors. This study introduces the Lifestyle-DEPER model and presents a lifestyle intervention strategy (KEEP) to promote health. Further research is required to validate the practicality of the model after applying interventions based on the lifestyle construction model.

• Research in Community and Public Health Nursing
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• v.9 no.1
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• pp.30-39
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• 1998

The purpose of this study was to identify the factors influencing health promoting lifestyle of teachers and to provide the data for efficient health management of teachers. The subjects of this study were eight hundred nine teachers, who were chosen in Choong-Buk province. Survey Questionaires for data analysis were collected through visiting or mailing from September 1 to 30, 1997. The instruments used in this study were HPLP(Health Promoting Lifestyle Profile) by Walker (1987), Internal Health Locus of Control by Walston et al. (1978), Self Esteem by Rogenberg(1965), Importance of Health by Muhlenkamp (1985), Self Efficacy by Sherer & Maddux(1982), and Family Function by Olson & Schellenberg (1985). Data were analyzed by descriptive statistics, unpaired t-test, ANOVA, Pearsons correlation coefficient and stepwise multiple regression using SPSS/PC(v. 4.01) program. The results were as follows; 1. The mean of health promoting lifestyle was total 2.53 on the average, self-actualization 2.97, nutrition 2.90, interpers 52, stress management 2.33, exercise 1.91, and health responsibility 1.82 in order. The index of total health promoting lifestyle was significantly influenced by the factors including sex, age, religion, marital status, duration of work, teaching load, education level and number of family members. 2. The health promoting Lifestyle was significantly positive correlated with Self Efficacy, Family Function, Importance of Health, Internal Health Locus of Control and Self Esteem. 3. Self Efficacy was the most influential determinant predicting health promoting lifestyle of teachers. Self efficacy, Family Function, Importance of Health, Internal Health Locus of Control and Age explained 42% of the health promoting lifestyle. Based on the above findings, it is suggested to develop nursing intervention to improve Self Efficacy, Importance of Health, Family Function of teachers enhance health promoting lifestyle. Further studies are needed to confirm these findings and to determine factors which significantly influence health promoting lifestyle of teachers.

• Research in Community and Public Health Nursing
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• v.19 no.3
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• pp.506-520
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• 2008

Purpose: The purpose of this study was to investigate factors influencing college students' health promotion lifestyle. Methods: The subject was 606 students. Statistical analysis with SPSS used descriptive statistics, t-test, one way ANOVA, Pearson correlation and Stepwise Multiple Regression. Results: The average item score for health promotion lifestyle was 2.58. The subscale showing the highest score was interpersonal relationship (3.03), which was followed by spiritual growth (2.94). stress management (2.54), nutrition (2.52), physical activity (2.16) and health responsibility (2.15). There were significant differences according to age, gender, BMI, perceived health state, religion, economic state, live together, major and health promotion lifestyle. The most powerful Predictors of health promotion lifestyle were the prior related behavior (51.8%) and self-efficacy (7.7%). The combination of prior related behavior, perceived self-efficacy, activity-related affect, social support, perceived stress, commitment to a plan of action accounted for 67.9% of the variance of health promotion lifestyle. Conclusion: Prior related behavior was the most powerful variable of health promotion lifestyle. Therefore, health promotion programs for changing and maintaining prior related behavior and increasing self-efficacy should be developed to promote a healthy lifestyle in college students.

• Journal of Korean Public Health Nursing
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• v.20 no.2
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• pp.151-162
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• 2006

Purpose: The purpose of this study was to investigate the factors influencing health promoting lifestyle in high school students. Method: The study subjects were 477 high school students. The data were analyzed by descriptive statistics, t-test, ANOVA, Scheffe test, Pearson correlation and Stepwise Multiple Regression with SPSS statistical program. Results: The average item score for health promoting lifestyle was 2.44. The highest subscale score was self actualization (2.85), while the lowest subscale scores were interpersonal relationship (2.82), nutrition (2.57), exercise (2.56) and health responsibility (1.77). There was a significant difference between gender, sleeping hours, perceived health state, economic state, school performance, father's education, mother's education, living together and health promoting lifestyle. The most powerful predictor of health promoting lifestyle was self-efficacy (29.9%). The combination of self-efficacy, family function, activity-related effect, commitment to a plan of action, situational influences and social support accounted for 55% of the variance in the health promoting lifestyle. Conclusion: Self-efficacy was the most powerful variance of health promoting lifestyle. Therefore, health promoting programs that increase self-efficacy should be developed to promote a healthier lifestyle among high school students.

• Research in Community and Public Health Nursing
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• v.5 no.1
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• pp.53-63
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• 1994

Health could be maintained and promoted by pursuing an active healthy lifestyle. Life-style include health habits and behavior pattern such as exercise, diatry change, weight control, stress management et al. The objectives of this studies are (1) to analyze recognition and practice of lifestyle between nurses and non-nurses, (2) to analyze health status of clients which presented healthy lifestyle, (3) to analyze factors that affected healthy lifestyle. The lifestyle assessment questionnaire is divided into ten sections: competence in selfcare, nutritional practices, physical activity, sleep patterns, stress management, self-actualization, sense of purpose, relation with others, environmental control, and use of health care system. The major results are as follows : (1) The level of recognition and practice of lifestyle was not high. Nurses showed more higher score than non nurses in lifestyle area such as competence in selfcare, stress management, environmental control, and use of health care system. (2) Good health status and lifestyle presented positive relation. (3) In mutiple classifiction analysis, competence in selfcare, nutritional practices, physical activity, sleep patterns, stress management, environmental control, and use of health care system had significant relation to independent variables. (4) Change of concept for healthy lifestyle after this survey was higher in nurses group and the most concern area was stress management. To sum up, lifestyle pattern of nurses as health professional was not desirably high. Therefore nurses ownself should effort to practice healthy lifestyle prior to others, and then educate importance of lifestyle for health promotion and disease prevention. In conclusion, it will be useful to consider significant lifestyle factors that was be identified in this study to develop health promotion program.

• Journal of Korean Public Health Nursing
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• v.28 no.2
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• pp.270-284
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• 2014

Purpose: This study investigated the effects of lifestyle factors in metabolic syndrome among adolescents. The metabolic syndrome has been reported as a cause of various chronic diseases, including cardiovascular disease and diabetes in adolescents. Method: This study is a cross-sectional study on 1,931 adolescents (1,011 boys and 920 girls) aged 12-19 years from the Korean Health and Nutrition Examination Survey 2010-2012. Data were analyzed by descriptive statistics, t-test, $x^2$-test, and logistic regression in consideration of strata, cluster, and weight as national data. Result: The prevalence of metabolic syndrome in adolescents aged 12-19 years was 4.3% (Boys, 5.4%; Girls, 3.1%). Among lifestyle factors, BMI had significants influences on the metabolic syndrome risk, but other variables did not. Conclusion: The results of this study indicate that further research is necessary on the effect of lifestyle factors in metabolic syndrome and that school health nurses should focus on implementation of effective programs for promotion of activity and healthy foods for prevention and intervention of metabolic syndrome.

• Journal of the Korean Home Economics Association
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• v.49 no.7
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• pp.39-49
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• 2011

The purpose of this study was to examine the relationship between the attitude towards well-being and life satisfaction, to investigate the effect of healthy lifestyle and attitude towards well-being on life satisfaction, and to explore the differences in well-being lifestyle factors, well-being attitude, and life satisfaction against demographic variables. This study gave a questionnaire survey to adults between the ages of 10 and 60 who lived in the Seoul, Daegu and Kyungbuk regions of South Korea. Data collected from the 285 respondents was analyzed using descriptive statistics, correlation, t-tests, ANOVA, factor analyses, and regression analysis. The lifestyle for well-being was categorized into four areas, social welfare oriented activity, use of environmentally friendly products, self-esteem enhancement, and sports activity. Three of these factors were significantly correlated with the attitude towards wellbeing. The results of the regression analysis suggested that healthy lifestyle and attitude towards well-being affected people's life satisfaction.

• Korean Journal of Adult Nursing
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• v.16 no.4
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• pp.575-584
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• 2004

Purpose: To describe the performance in the health-promoting lifestyle and to identify the major factors affecting the health-promoting relationships between self care behaviors and health promoting lifestyle profile in patients with pulmonary tuberculosis. Method: A convenience sample for this study was 172 pulmonary tuberculosis patients who have taken TB medications in urban city. The HPLP-II was selected to measure the concept of health-promoting lifestyle because of the number of research studies conducted using both the original HPLP and the revised HPLP-II. The statistical methods used in this study were t-test, ANOVA, Pearson correlations, and multiple regression. Result: The differences of the HPLP-II were found to have a significance of age, marital status, education level, and health service center. The level of self care behaviors was related positively to the level of health promoting lifestyle and their subcategories. Based on stepwise multiple regression analysis, the model that predicted factors included self care behaviors, age, health service center and education. Conclusion: After decades of decreasing rates, TB has reemerged as a serious national problem in Korea. The careful clinical management and more national concern of TB may help to improve the outcomes of many patients. The findings of this study suggest that TB patients who are more fulfilled in health-promoting lifestyles and self-care behaviors may be able to make better decisions regarding positive health-promoting behaviors.

• Journal of the Korean Home Economics Association
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• v.39 no.7
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• pp.85-100
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• 2001

A Study on the make-up expression and purchasing behavior of make-up cosmetics based on the lifestyle. The intention of this study is to classily the consumer group based on the lifestyle, to research the characteristics and desire of the each group, and to find out the differences of the make-up expression and purchasing behavior of make-up cosmetics among each group. The result of this study are as follow; 1. We have obtained seven factors out of twenty six lifestyle items by using AIO lifestyle measurement. The seven factors are make-up high involvement factor, brand loyal factor, make-up bases factor, economical and natural beauty oriented factor, impulsive consumption oriented factor, stubborn choice factor, sensitive to others view factor 2. We have formed four groups based on the seven factors. The four groups are impulsive consumption type, professional make-up type, intentional make-up type, basic type. 3. It was examined that women want to express smart, ellegant and intelligent images form the make-up 4. According to the examination of the differences of the purchsing behavior, only the purchase motive, information source and cosmetics purchase amount per month was differentiate among the groups.

• Journal of East-West Nursing Research
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• v.13 no.1
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• pp.40-47
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• 2007

Purpose: This study has been attempted in order to confirm the factors that affect the healthpromotion lifestyle of nurses. Method: Data was collected by questionnaires from 324 nurses at 5 university hospitals located in Seoul. The instrument tools utilized in this study was health-promotion lifestyle, perceived health status, perceived benefits, perceived barriers, self-efficacy, and social support, and validity and reliability of the tool have been verified with literature studies and pre-study examinations. The collected data have been analyzed using SPSS PC 12 program. Result: The factors that affect health-promotion lifestyle of nurses were perceived health status ($\beta$= .320), self-efficacy ($\beta$= .248), social support ($\beta$= .139), perceived benefits ($\beta$= .207), and age ($\beta$= .089), that altogether explained 41.1%. Conclusion: It has been confirmed that th regression equation model of this research may serve as a health- promotion lifestyle prediction factors in nurses.