• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.11
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• pp.239-251
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• 2017

This study attempted to identify the health behaviors and related factors of lifestyle related diseases among some public officials. The study subjects were 729 administrative officers of the general public office of the government in D metropolitan city. The data collection was conducted by self-administered questionnaire from February 1 to March 31, 2016. As a result, the health behavior score for lifestyle related diseases showed a significant positive correlation with vulnerability, the effectiveness of health behavior and information obtained from the media about lifestyle-related diseases, while it showed a significant negative correlation with the barriers to health behaviors concerning lifestyle related diseases. As a result of the covariance structure analysis, vulnerability and seriousness about lifestyle related diseases were the most important factors affecting health behavior for lifestyle related diseases. The next most important factors were a family history of lifestyle related diseases, information obtained from the media, effectiveness of and barriers to health behavior, instrumental support, and emotional support. These results suggest that each factor constituting the Health Belief Model (HBM) (perceived vulnerability and seriousness about lifestyle related diseases, perceived effectiveness and barriers to health behaviors, family history of lifestyle related diseases, information obtained from the mass media about lifestyle related diseases, social support network for lifestyle related diseases) is an important factor to consider in practicing health behaviors for lifestyle related diseases. Therefore, it is important to accurately understand the factors related to the practice of the health behaviors of the subjects and to manage them continuously.

• Korean Journal of Health Education and Promotion
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• v.33 no.1
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• pp.1-12
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• 2016

Objectives: This study was to examine by gender the clustering patterns and correlates of healthy lifestyle clusters and the relationships between healthy lifestyle clusters and depressive symptoms in middle-aged and older adults. Methods: The observed/expected ratio of physical activity, smoking, and alcohol consumption were calculated to analyze clustering effects. The correlates of those healthy lifestyle clusters were evaluated using logistic regression models, and the relationship between those healthy lifestyle clusters and depressive symptoms was investigated using multiple regressions by gender. Results: Based on the guidelines this study adopted, we obtained three healthy lifestyle clusters: active healthy lifestyle; passive healthy lifestyle; and unhealthy lifestyle. All three clusters were found in men, but two in women, who did not have an unhealthy lifestyle cluster. High socio-economic status was positively related to healthy lifestyle clusters. Social participation and residence location (in men) and marital status (in women) were significant factors. Having an active or a passive healthy lifestyle was negatively associated with depressive symptoms in women, but such a relationship was not observed in men. Conclusions: The study findings imply that health promotion programs for middle-aged and older adults in Korea should be comprehensive and integrated, considering healthy lifestyle clusters and gender differences.

• Research in Community and Public Health Nursing
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• v.21 no.2
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• pp.148-155
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• 2010

Purpose: The purpose of this study was to investigate relations among lifestyle, depression and health-related quality of life (HRQoL) of adult women in the Jeju Province. Methods: This study sampled 154 women aged 20 or older through convenience sampling and surveyed them from January to February, 2008. Results: The mean score for lifestyle was 3.7, for depression 12.1, and for HRQoL 75.2. There were significant negative correlations between lifestyle and depression, and between depression and HRQoL. There was a significant positive correlation between lifestyle and HRQoL. Conclusion: The results indicate that HRQoL of women is associated with lifestyle and depression. When developing programs to enhance health in women, consideration should be given to lifestyle and depression.

• The Journal of Korean Society for School & Community Health Education
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• v.22 no.3
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• pp.29-39
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• 2021

Purpose: This study aims to investigate the mediating effect of grit in the relationship between body image and health promotion lifestyle for nursing students. It was implemented to present basic data for the development of educational programs to establish the health promotion lifestyle of nursing students. Methods: The participants of this study were 169 nursing students in three universities in G City, J Province. Data were descriptive statistics, t-test, ANOVA, Pearson correlation analysis. Also mediation analysis was performed according to the Baron and Kenny method and Sobel test. Results: Health promotion lifestyle is positively correlated with body image(r=.53, p<.001), grit (r=.37, p<.001), and body image is positively correlated with grit(r=.33, p<.001). The grit showed a partial mediating effect between the body image and the health promotion lifestyle(Z=3.21, p<.001), the positive the body image(β=.46, p<.001), the higher the grit(β=.22, p<.001), the healthier the health. The level of health promotion lifestyle increased, and the explanatory power to explain the health promotion lifestyle was 33%. Conclusion: Therefore, in order to improve the health promoting lifestyle level of nursing students, it is important to change their perception so that they can view their body image positively. In addition, it suggests that nursing students need to cultivate grit so that they can continuously pay attention to and strive for their health promotion lifestyle.

• Journal of Korean Public Health Nursing
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• v.13 no.2
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• pp.183-201
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• 1999

This descriptive correlational study was conducted to identify the variables related to health promoting lifestyle of girls in High school students. 156 high school students and 88 vocational high school students who lives in Taegu city were selected by a convenience sampling method. The data were collected by self-reported questionnaires from August 24 to September 4. 1998. Pender and others' Health Promoting Lifestyle Profile. Shere et al's. Self-Efficacy scale. Wallston et al.' s Internal Health Locus of Control scale. Wares' Health self rating scale and Cohen & Hoberman's Social support scale were used. The data were analyzed by using descriptive statistics, Pearson correlation coefficient. t-test. MANOVA. ANOVA. Tukey verification and Stepwise multiple regression with SAS progrom. The results of this study were as follows : 1. The average score of health promoting lifestyle performance was 2.34(SD=.36)points by the 4 point scale. 2. The combination of self-efficacy. internal health locus of control. mather's educational level and type of school explained $41.31\%$ of the variance of health promoting lifestyle. 3. Health promoting lifestyle showed significant positive correlations with self efficacy(r=.5173. p=.001), perceived health status(r=.254, p=.001) and internal health locus of control(r=.321. p=.001). On the basis of the above findings, self-efficacy in cognitive factors. and social support in modifying factors were identified as the variables which explained the most part of the Pender's health-promotion model. Nursing strategies enhancing self-efficacy which has the most significant effect on health promoting lifestyle should be developed. Further research is required to find out the factors influencing health pormoting lifestyle of high school students.

• Journal of Preventive Medicine and Public Health
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• v.30 no.1 s.56
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• pp.181-193
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• 1997

The purpose of this study was to identify population subgroups with similar patterns of diet quality, physical activity, alcohol consumption and cigarette smoking of Korean. The cluster analysis was conducted using the data from Korea National Health Survey(KNHS) in 1995, which consisted of 5,805 persons. We identified six health behavior typologies : 32.9% of the sample had a good diet but sedentary activity level(good diet lifestyle), 7.2% had high activity level but less diet quality(fitness lifestyle). Individuals in the passive lifestyle cluster(39.1%) had no active health promoting activities but tended to avoid risk taking health behavior such as cigarette smoking and alcohol drinking. 1.1% of the sample were in a drinking cluster, 17.2% in a smoking cluster and 2.5% had a hedonic lifestyle characterized by heavy drinking and smoking. The other characteristics of these lifestyle clusters could be presented by demographic and socioeconomic factors.

• Korean Journal of Adult Nursing
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• v.12 no.3
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• pp.477-489
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• 2000

The purpose of study was to assess how hospital nurses practice their health promoting lifestyle and to identify affecting factors. The subjects were 286 nurses working at three general hospitals in Kwang-ju. The data were collected by questionnaire from September 1st. to September 10th, 1999. The instruments for this study were the Health Promoting Lifestyle Profile developed by Walker et al., perceived health status scale developed by Ware et al., self-efficacy scale developed by Sherer et al., and social support scale developed by Cohen et al.. The data were analyzed with mean, standard deviation, t-test, ANOVA, Pearson's Correlation Coefficient and Stepwise Multiple Regression. The results of this study were as follows: 1. The mean score of health promoting lifestyle was 2.36. Interpersonal support showed the highest score(2.67) and health responsibility (1.92) showed the lowest score. The mean score of perceived health status was 3.07, self-efficacy was 2.62, and social support was 2.91. 2. The relationship between general characteristics of subjects and health promoting lifestyle showed significant differences according to duty cycle(t=4.15, p=.042), disease experience (t=5.18, p=.023), monthly income(F=3.13, p=.025), exercise frequency(F=9.12, p=.000), stress reliefe method(F=5.98, p=.000), job satisfaction(t=11.44, p=.000), and perceived fatigue(F=6.13, p=.002). 3. Health promoting lifestyle showed significant positive correlations with perceived health status (r=.2190, p=.0002), self-efficacy (r=.5137, p=.0001) and social support (r=.5181, p=.0001). 4. The combination of social support(27.1%), exercise frequency(10.4%), self-efficacy(8.8%), job satisfaction, perceived health status, perceived fatigue and explained 53.5% of the variance of health promoting lifestyle. Therefore, this study suggests that a replicate study is needed until more affecting factors other than health promoting lifestyle.

• Asia-Pacific Journal of Business
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• v.13 no.2
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• pp.169-182
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• 2022

Purpose - The purpose of this study was to investigate influence relationship among health lifestyle, customer satisfaction, repurchase intention and recommendation intention in the protein beverage market. Design/methodology/approach - This study collected 286 survey data from customers who had experience buying and drinking the protein beverage. The Exploratory Factor Analysis (EFA) and the multiple regression analysis were hired in order to analyze the data. Findings - First, four dimensions of health lifestyle("health confidence," "health sensitivity," "health intention," and "health eating habit") were found to be valid and reliable. Second, all four dimensions of health lifestyle had a positive effect on customer satisfaction. Third, customer satisfaction had a positive effect on repurchase intention. Lastly, customer satisfaction had a positive effect on recommendation intention. Research implications or Originality - This study provided research model among health lifestyle, customer satisfaction, repurchase intention and recommendation. Furthermore, the results of this study were useful for identifying the role of health lifestyle in estimating customer satisfaction and the strategies for strengthening customer satisfaction in the protein beverage market.

• Journal of Korean Clinical Health Science
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• v.4 no.2
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• pp.556-565
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• 2016

Purpose. This study pourpose to fashion lifestyle and color interests in accordance with group university students' lifestyle focused on students in health and nursing fields. Methods. This study administered a structured questionnaire to 321 random subjects who currently major in health and nursing fields and who reside in Daegu city. For the collected data, using the SPSS 18.0, the following analyses were implemented: frequency analysis, factor analysis, K-means clustering analysis, t-test, and ${\chi}^2$-test. Result. In terms of lifestyle, seniors had shown more active groups than passive groups in comparison to their juniors. The active group in terms of lifestyle has shown higher interest in the importance of apparel and fashion leadership in comparison to the passive group. The active group in terms of lifestyle has also shown higher interest in color in comparison to the passive group. Conclusion. A fashion leader leading by examining the fashion life style and color interest in accordance with the lifestyle to target college students to investigate a variety of consumption patterns made according to personal preference consists of a smooth communication between businesses and consumers needed for product development.

• Journal of the Korean Society of School Health
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• v.10 no.1
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• pp.65-74
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• 1997

Health can be maintained and promoted by pursuing a healthy lifestyle. A healthy lifestyle implies keeping healthy habits such as regular exercise, a balanced diet, weight control, and stress management etc. The objectives of this study are: (1) To find out patterns in the lifestyle and health status of high school students. (2) To analyze the factors that affect a healthy lifestyle. (3) To compare the level of understanding of a healthy lifestyle and its practice between male students and female students. The study population wag 388 high school students. The data was analysed through a % total, a $X^2$ test, and a multiple classification analysis. The lifestyle assessment questionnaire was devided into ten sections. The results are as follows; (1) There was a positive correlation between health status and a healthy lifestyle. (2) There existed strong positive correlations between independent variables (age, group) and dependent variable (nutritional practices, physical activity, stress management, serve of purpose). (3) The level of understanding of a healthy lifestyle was not high for most of the students. Female students showed a higher understanding than male students in nutrition practice, while male students group showed a higher and under standing than female students for physical activity. The other result were similar in their practice of a healthy lifestyle. With all these above considerations, the level of understanding and practice of a healthy lifestyle in students was not higher than the adult group. Students should have more educational opportunities and take a more systematic education in practicing a healthy lifestyle.