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.
Purpose: The purpose of this study was to develop a mobile health lifestyle program for university students and to verify its effectiveness. Methods: The program was developed based on Jung's teaching-learning system design model. The research used a non-equivalent control group pretest-posttest non-synchronized design. Data were collected from October 20 to December 5, 2018. To verify the effects of the program, the knowledge, self-efficacy, and intention to plan health lifestyle and health lifestyle behavior were measured. A two hour health lecture and a mobile health lifestyle program were delivered for 3 weeks to 23 students in the experimental group. 19 students in the control group received only a two hour health lecture. Results: The experimental group showed significantly higher scores on knowledge (F=4.63, p=.038), intention to plan health lifestyle (F=14.44, p<.001), and health lifestyle behavior (F=46.80, p<.001). However, the score on self-efficacy was not significantly different (F=2.65, p=.112). Conclusion: It was confirmed that the mobile health lifestyle program can be useful in increasing the level of knowledge, intention and behavior of health lifestyle among university students. Therefore, the mobile health lifestyle application can be used as a supporting resource to enhance the health promotion for university students.
This study was undertaken in order to examine the relationship of control, perceived health status, self efficacy, social support, and demographic characteristics to health promoting lifestyle of nursing students, and to determine factors affecting health promoting lifestyle of nursing students. The subjects were 270 students of a single university in Busan. The instruments used for this study was a survey of general characteristics, health promoting lifestyle (47 items), control(8 items), perceived health status(6 items), self-efficacy(17 items), and social support(18 items). Data analysis was done by use of mean, percentage, t-test, ANOVA, Pearson Correlation coefficients and stepwise regression with a SPSS PC+ program. The results of this study are as follows : 1) The average item score for the health promoting lifestyle was less than 2.43. In the sub-categories, the highest degree of performance was interpersonal relationships (2.94) and the lowest degree was health responsibility(1.93). 2) Students who were older and higher scores in health responsibility and interpersonal support subscale. Students who had higher grade had higher scores in health support subscale. Students who had experienced disease had higher scores in health responsibility subscale. Students who had experienced exercise had higher scores in health responsibility, exercise and nutrition subscale. 3) Significant correlation between control and self-efficacy, self-efficacy and social support was found. 4) Significant correlations was found between most of the subscales and total health promoting lifestyle. 5) Social support revealed significant correlations with total health promoting lifestyle and all subscales of health promoting lifestyle. Control revealed significant correlations with total health promoting lifestyle and self actualization and health responsibility. Perceived health status revealed significant correlations only with the exercise and nutrition subscale. Self-efficacy revealed significant correlation with the total health promoting lifestyle and all subscales of health promoting lifestyle except exercise and nutrition, stress management subscale. 6) Social support was the highest factor predicting health promoting lifestyles of nursing students(31%). Social support, excercise self-efficacy and control accounted for 35% in health promoting lifestyle of nursing students.
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.
Consumers' interest in health is increasing, and health-seeking consumption lifestyles, including comprehensive consumption behaviors related to physical health, mental health, and a healthy dietary lifestyle are becoming increasingly important to many people. The purpose of this study was to develop a health-seeking consumption lifestyle scale that could aid in determining effects of social status, perceived health status, and socio-demographical variables on health-seeking consumption lifestyles. Data were collected via an on-line survey of 500 respondents, all of whom were married women 20 year of age or older. The data were analyzed in terms of frequency, percentage, mean, standard deviation, factor analysis, t-test, one-way ANOVA, Pearson's correlation analysis, and multiple regression analysis. The results of this study are as following: First, health-seeking consumption lifestyle demonstrated three main factors: physical health-seeking consumption lifestyle, mental health-seeking consumption lifestyle and healthy dietary life seeking consumption lifestyle. Second, most respondents identified themselves with the middle class and perceived their health status positively. Third, health-seeking consumption lifestyle demonstrated significant differences based on socio-demographical variables. Fourth, health-seeking consumption lifestyle was significantly affected by social class, age, and health status comparisons within similar age groups.
The study was to examine the relationships among health promoting lifestyle, level of anxiety, and perceived health status and to reveal those variables. affecting health promoting lifestyle in Korean immigrants in the United States. The subjects were 425 adults chosen from Korean religious and social organizations located in New York from April 25th through July 5th. 1996. Data analyses were conducted by using Pearson correlation coefficients, t-test, ANOVA, and stepwise multiple regression. The results were as follows : Health promoting lifestyle was significantly different according to age, religion. occupation, and the length of residence in the US. Those insured and those with no chronic conditions revealed a significantly higher score in health promoting lifestyle. Significant differences in the level of anxiety were found according to education, marital status, occupation, family income, and the length of residence. Those with no chronic conditions experienced a significantly lower level of anxiety. In the subscales of the health promoting lifestyle profile, self-actualization and interpersonal relationship revealed higher scores, whereas the scores of stress management, health responsibility, and exercise were lower. Those subjects whose perceived health status was very good, showed the lowest level of anxiety and the highest score on the health promoting lifestyle profile. Negative correlations were observed between the health promoting lifestyle profile and the level of anxiety, and between the perceived health status and the level of anxiety. Health promoting lifestyle was significantly predicted by the level of anxiety(22.0%), age(2.0%), health insurance(1.1%), respectively.
This study was done to examine the relationship among psychosocial well-being, perceived health status and health promoting lifestyle practices, and to Identify those variables affecting a health promoting lifestyle. Three hundred and forty five ruddle-aged adults completed a multiple self-reported questionnaire on psychosocial well-being, perceived health status and health promoting lifestyle profile. Data analysis were conducted by using Pearson correlation coefficients, t-test, ANOVA, Scheffe test and stepwise multiple regression nth SAS program. The results are as follows : 1. The average item score for psychosocial well-being was low at 55.98, the level of perceived health status was moderate at 5.76, and health promoting lifestyle practices were low at 110.09. Among the subscales of the health promoting lifestyle profile, stress management and self-actualization were scored higher than exercise and health responsibility. 2. Performance of health promoting lifestyle was positively correlated with perceived health status and negatively correlated with psychosocial well-being. Also, negative correlations were observed between perceived health status and psychosocial well-being. 3. There were statistically significant differences for health promoting lifestyle, psychosocial well-being and perceived health status according to sociodemographic variables. The performance of health promoting lifestyle was significantly different according to education, economic status and marriage satisfaction. Psychosocial well-being was also significantly different according to education, marriage satisfaction, and exercise. Perceived health status was significantly different according to education, occupation, and economic status. 4. Perceived health status, psychosocial well-being, marriage satisfaction and level of education together explained 21.62% of varience in the performance of health promoting lifestyle. These findings help to clarify relationships among psychosocial well-being, perceived health status, and health promoting lifestyle practices in middle-aged adults. Therefore, the result of study provide clues for encouraging people to adopt healthier lifestyles and constructing alternative strategies for promoting health practices.
Purpose: This study was undertaken in order to examine the relationships of control, perceived health status, self-efficacy, social support, and demographic characteristics for a health promoting lifestyle in college women, and to determine the factors affecting a health promoting lifestyle of women in the early stage of adulthood. Method: There were 161 students from one university in K city. The instruments used for this study were a survey of general characteristics, a health promoting lifestyle (47 items), control (8 items), perceived health status (6 items), self-efficacy (17 items), and social support (18 items). The data analysis was done by use of mean, percentage, t-test, ANOVA, Pearson Correlation coefficients and stepwise regression with the SPSS Win (Version 10.0) program. Results: The results of this study are as follows : 1) The average item score for the health promoting lifestyle was low at 2.39. In the sub-categories, the highest degree of performance was interpersonal support (2.97), and the lowest degree was health responsibility (1.76). 2) In the relationship between social demographics and a health promoting lifestyle, there were significant differences in age, disease experience, and the family's disease experience. 3) Social support revealed only significant correlations with a health promoting lifestyle. 4) Social support was the highest factor that predicted a health promoting lifestyle in college women (15%). Social support, age and disease experience accounted for 20% in a health promoting lifestyle of college women.
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.
Purpose: The purpose of this study was to identify the relationship between health promoting lifestyle and general characteristics of the person undergoing health checkups in cancer prevention center. Method: A cross-sectional survey was used. This study has been done from February 1 to March 31, 2005 and the subjects of the study were 199 persons who had undergone health checkups in Cancer Prevention Center located in Seoul. Data were collected by using self reporting questionnaire on the health promoting lifestyle. The collected data were analyzed by using t-test, ANOVA, and Pearson's correlation coefficient. Result: The average score of performance in the health promoting lifestyle was 162.99(range of score is 60-240). There were significant differences in scores of health promoting lifestyle according of marital status, age, education and smoking. The score of health promoting lifestyle of the married group was higher than that of the single group. The score of health promoting lifestyle was higher in those aged 60-69 years than in those aged 20-29 years. As compared to college graduates the score of health promoting lifestyle was higher among those whose schooling is less than middle school and higher than a master`s program. The score of health promoting lifestyle was higher among non-smokers than among those who used a cigarette in their life time. There were no differences in scores of health promoting lifestyle according to sex, cancer family history, disease family history and drinking.There was positive relationship between age and health promoting lifestyle. Conclusion: Marital status, age, education and smoking affected Health Promoting Lifestyle of the person undergoing health checkups in Cancer Prevention Center.
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