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.
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.
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.
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.
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.
Purpose: This study was undertaken in order to determine factors affecting health promoting lifestyle of elderly women. Method: The subjects were 299 elderly community residing women over the age 65 living in 2 large cities. The instruments used for this study were a survey of general characteristics, health promoting lifestyle(47items), perceived health status(6 items), self-efficacy(l7 items), and social support(18 items). The data was analyzed using descriptive statistics, t-test, ANOVA, Pearson correlation coefficients, and Stepwise Multiple Regression. Result: The result of the study are as follows: The average item score for the health promoting lifestyle was 2.46, the highest score on the subscale was interpersonal support(M=2.83). A significant difference between age, education level, income, experience of smoking, alcohol, exercise, and health promoting lifestyle were found. Stepwise multiple regression analysis revealed that the most powerful predictor of health promoting lifestyle was social support(55%). Conclusion: Social support accounted for 54% of the variance in health promoting lifestyle in the elderly women. Therefore, health promoting programs that increase social support should be developed to promote a healthy lifestyle of the elderly women.
The purpose of this study was to find out the relationship between psychosocial well-bing and health promoting lifestyle practices of university students in Korea. The subjects were 282 students of one university in Chung-ju. The data were analyzed by the SAS program using mean, frequency, t-test, ANOVA and pearson correlation coefficient. The major results were as follows: 1. The average score for psychosocial well-being and health promoting lifestyle practices were low at 55.97, 103.5. In the subcategories of health promoting lifestyle practices, the highest degree of performance was interpersonal support(2.77), and the lowest degree was health responsibility(1.49). 2. There weren't statistically significant differences for the Psychosocial well-being according to sociodemographic variables. The performance of health promoting lifestyle practices was significant different according to gender and school year. 3. The Psychosocial well-being was negatively correlated with health promoting lifestyle practices. Also it was negatively correlated with subscale of health promoting lifestyle practices except health responsibility. So, significant correlation between psychoscial well-bing and self-actualization, exercise, nutrition, interpersonal support, stress management was found. Based upon this results, health promoting behavior will be clues for developing a interventional programs and strategies for the health promoting lifestyle practices in university students
Purpose: The purpose of study was to assess the health promoting lifestyle among hospital nurses and to investigate the relationships between the health promoting lifestyle, resourcefulness, and perceived health status. Methods: The subjects were 400 nurses working at three university hospitals. The data were collected by self-administered questionnaires from September 1st to September 30th, 2008. Results: The range of Health Promoting Lifestyle Profile (HPLP) was 71-185, the average score was 112.50, and the item mean was 2.16 (total 4). The range of resourcefulness was 9-50, and the average score was 16.56. The range of perceived health status was 4-13, and the averae score was 9.52. Health promoting lifestyle was showed significantly positive correlations with resourcefulness (r=.473, p<.001), and with perceived health status (r=.176, p<.001). The independent variables including resourcefulness, religion, working shift, sleeping hours, and exercise explained 58.6% of the variance of health promoting lifestyle. Especially, resourcefulness explained 53.2% of the variance of health promoting lifestyle. Conclusion: Resourcefulness was identified as the most important variable contributing to the performance of health promoting lifestyle.
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.
The Journal of Korean Academic Society of Nursing Education
/
v.5
no.2
/
pp.315-331
/
1999
This study was done to describe health promoting lifestyle and to identify the factors affecting the performance in health promoting lifestyle among the climacteric women. The subjects of this study were 240 women(40 to 60 years old) The sample data were collected using a purposive sampling method, and collected from August 23 to September 6, 1999. The instruments for his study were a health promoting lifestyle scale, a health locus of control scale, a self-esteem scale and a perceived health status questionnaire. Frequency, percentage, t-test, ANOVA, Pearson's correlation and stepwise multiple regression technique with SPSS program were used to analyze the data. The results of the study were as follows ; 1) The average score of performance in the health-promoting lifestyle variables was 166.40. The variable with the highest degree of performance was the sanitary environment , whereas the one with the lowest degree was the professional health maintenance. 2) Performance in the health-promoting lifestyle was positively related to self-esteem, internal health locus of control and negatively related to accidental health locus of control and perceived health status. 3) A significant difference between educational level and health-promoting lifestyle were found. 4) Self-esteem and perceived health status explained 21.0% of the variance for the total health promoting lifestyle. The results of this study show that self-esteem, perceived health status predicted the health promoting lifestyle of the climacteric women. Therefore, health promoting programs that increase self-esteem and perceived health status should be developed to promote a healthy lifestyle of the climacteric women, especially those who have a low level of education.
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