Purporse : The purpose of this study was to examine the relationship between a health promoting lifestyle and body composition in university students. The study subjects were 194 university students who attended K-university located in Chungnam. Methods : The data was collected between March 2 and May 31, 2004. The instrument used for this study was the modified Health Promoting Lifestyle Profile(HPLP) developed by Walker, Sechrist, & Pender(1987). The body composition was measured by In Body 3.0, a Bioelectrical Impedance Analyzer. The data was analyzed using the SPSS/WIN 10.0 program by t-test, ANOVA and pearson correlation coefficients. Results : The results of this study are as follows: 1) The scores of the Health Promoting Lifestyle(HPL) ranged from 79 to 170, with a mean score of 110(±15.8). The mean scores of sub-categorical HPL were self-actualization 31.8(±4.9), health responsibility 17.0(±4.0), exercise 8.3(±3.2), nutrition 15.4(±3.7), interpersonal relationships 20.3(±3.5) and stress management 17.2(±3.4). 2) The HPL according to the subjects' general characteristics had significant correlation to exercise amount(F=8.09, p<.01), drinking amount(F=6.56, p<.01), perceived health status(F=19.2, p<.01) and perceived health knowledge (F=15.9, p<.01). 3) The total HPL did not significantly correlate with any categories in body composition. The exercise area of sub-categorical HPL had significant positive correlation to height (r=.199, p<.01), weight(r=.181, p<.05) and soft lean mass(r=.257, p<.01), and negative correlation to percent body fat(r=-.255, p<.01) in body composition. Conclusion : The results suggest that the exercise area of sub-categorical HPL was an important variable for an exercise program's development such as nursing intervention for the health promotion of university students.
Objectives: The purpose of this study was to establish a relationship among oral health perception, practicality, and the health-promoting lifestyle profile (HPLP) of soldiers, to finalize the oral health education content to be offered to military personnel under military service and explore remedial measures. Methods: The subjects included military soldiers older than 19 years of age in the Chungnam province. The study instrument was a structured questionnaire evaluating the general characteristics, HPLP, oral health perception, and oral health practice. Data were analyzed using one way analysis of variance (ANOVA), Kruskal-Wallis ANOVA, Pearson correlation, and multiple regression analysis. Results: The HPLP evaluation of the soldiers was 3.39, and the group with the higher HPLP level showed better oral health recognition and oral health practice, with a statistically significant difference. There were differences in oral health perception, tooth brushing practice, and oral health education interest depending on the level of education and stratum of the soldier. The higher the soldier's HPLP, the higher were the oral health perception and oral health practice. The factors affecting the HPLP were oral health perception, tooth brushing practice, and interest in oral health education. Conclusions: After the military discharge, it is necessary to devise ways that will enhance oral health perception and practices that promote good oral health and lifestyle.
This descriptive study was conducted to identify the relationship between knowledge of stroke and stroke-related health promoting lifestyle among nursing students. Data were collected from September 21 to 26, 2020, from 182 nursing students. Data were self-reported using a structured questionnaire. Data were analyzed using independent t-test, one-way ANOVA, and Kruskal-Wallis test. The mean stroke knowledge score of the participants was 14.97±3.13. The mean score on knowledge of stroke risk factors was 8.69±1.98, and that for knowledge of stroke warning signs was 5.43±1.31. The mean health promoting lifestyle score was 2.93±0.47. Knowledge of risk factors according to general and health-related characteristics showed significant differences in age and money on hand. Knowledge of warning signs according to general and health-related characteristics showed significant differences in the family history of stroke. Health promoting lifestyle to general and health-related characteristics showed significant differences in religion, satisfaction with major, subjective health status, and body mass index. In conclusion, nursing students had high knowledge of stroke, but stroke-related health promoting were not.
Purpose: This study was to investigate the needs for developing a health promotion program for the elderly, and to compare the health promoting behaviors and perceived health status between high and low income elderly. Method: The data were collected from 80 high) income elderly and 84 low income elderly through face to face interviews. The instruments used in) this study were the Health Promoting Lifestyle Profile II (HPLP II) and Perceived Health Status. Results: 1) The total score of the HPLP for the elderly was 2.29. In the subscales, the highest degree of performance' nutrition', following 'stress management', 'spiritual growth' and 'health responsibility' and the lowest degree of performance was 'physical activity'. 2) The high income level elderly had significantly higher total HPLP scores than the low income level elderly. The biggest difference was found in 'physical activity' between high) and low) income elderly. 3) The mean score of perceived health status was 8.21. The high) income elderly had significantly higher perceived health status than the low income elderly. Conclusion: The above findings indicate that it is necessary to develop a health promotion program with reinforced physical activity, health responsibility for the elderly in Korea. In particular physical activity need to be increased for the low income elderly. The low income elderly need to have positive thinking for perceived health status.
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.
This study aimed to compare the drinking behavior and health promoting lifestyle between Korean (n=304) and Japanese (n=244) female nursing students. The average score of health promoting lifestyle was statistically significant different after controlling covariables between the two countries. Spiritual growth of Korean was higher, while nutritional habits, interpersonal relationship and stress management of Japanese were higher. The frequency and amount of drinking, and the number of heavy drinkers of Korean were more than that of Japanese. The probability to be heavy drinkers in Korea was higher in interpersonal relationship and lower in spiritual growth, however the probability to be heavy drinkers in Japan was higher in health responsibility. Health educators need to provide nursing college students health education to improve healthy lifestyle including drinking behaviors.
Purpose: This study was done to describe the correlation among the elderly's health-promoting behavior. life satisfaction and self-esteem. Method: The subjects were a volunteer sample of 200 elderly in Kyungsan city. The instruments for this study were Health Promoting Lifestyle Profile(47 items). Life Satisfaction Scale(20 items) and Self-Esteem Scale(10 items). Frequency, percentage, t-test, ANOVA, Duncan test and Pearson's correlation coefficient with BAS program were used to analyze the data. Result: 1) The average item score for the health-promoting behavior was 3.23; the highest score on the subscale was self-actualization and nutrition(M=3.45) with the lowest being exercise(M=2.98). 2) The average item score for the life satisfaction was 2.98. 3) The average item score for the self-esteem was 3.41. 4) Health-promoting behavior was significantly different according to age, marital status, religion and participation in society circles. 5) Life satisfaction was significantly different according to marital status and participation in society circles. 6) Self-esteem was significantly different according to participation in society circles. 7) Health-promoting behavior was positively related to life satisfaction and self-esteem. Life satisfaction was positively related to self-esteem. Conclusion: It follows from this study that there is a very strong correlation among the elderly's health-promoting behavior, life satisfaction and self-esteem. Therefore health promoting programs that increase life satisfaction and self-esteem should be developed to promote a healthy lifestyle of the elderly.
Purpose: This study was done to describe the correlation among the older Korean American adults's health-promoting behavior, life satisfaction and self-esteem. Method: The subjects consisted of 183 community-dwelling Korean immigrant elderly living in the state of Washington, USA. The instruments for this study were Health Promoting Lifestyle Profile(47 items), Life Satisfaction Scale(20 items) and Self-Esteem Scale(l0 items). Frequency, percentage, t-test, ANOVA, Duncan test and Pearson's correlation coefficient with SAS program were used to analyze the data. Result: 1) The average item score for the health-promoting behavior was 3.51; the highest score on the subscale was nutrition(M=3.63) with the lowest being exercise(M=3.07). 2) The average item score for the life satisfaction was 3.11. 3) The average item score for the self-esteem was 3.12. 4) Health-promoting behavior was significantly different according to educational level and participation in society circles. 5) Life satisfaction was significantly different according to age, religion and participation in society circles. 6) Self-esteem was significantly different according to age, marital status, religion and participation in society circles. 7) Health-promoting behavior was positively related to life satisfaction and self-esteem. The life satisfaction was positively related to self-esteem. Conclusion: It follows from this study that there is a very correlation among the older Korean American adults's health-promoting behavior, life satisfaction and self-esteem. Therefore health promoting programs that increase life satisfaction and self-esteem should be developed to promote a healthy lifestyle of the older Korean American adults.
Purpose: This study was purposed to provide basic data for developing future health promotion programs by comparing health-promoting behavior, life satisfaction and self-esteem between the Korean elderly and the American-Korean elderly. Methods: The subjects were volunteer participants of 120 elders in the Gyeongsan City in Korea and 120 elders in the state of Washington in the U.S. Tools used in this study were Health Promoting Lifestyle Profile (47 items), Life Satisfaction Scale (20 items) and Self-Esteem Scale (10 items). To analyze data, this study used frequency, percentage, chi-square test, t-test, Kendal tau test, Pearson's correlation coefficient with SPSS program. Results: 1) The average score of health-promoting behaviors was 3.21 in Koreans and 3.50 in American-Koreans, showing a significant difference between the two groups. 2) The sub-scales that got the highest score of health-promoting behaviors were self-actualization and nutrition(M=3.41) in Koreans and nutrition(M=3.61) in American-Koreans, and that with the lowest score was exercise in both groups(2.89 in Koreans and 3.02 in American-Koreans). 3) The average score for life satisfaction was 2.76 in Koreans and 3.06 in American-Koreans, showing a significant difference between the two groups. 4) The average score for self-esteem was 3.39 in Koreans and 3.09 in American-Koreans, showing a insignificant difference between the two groups. 5) Health-promoting behaviors were positively related to life satisfaction and self-esteem. Life satisfaction was positively related to self-esteem in both groups. Conclusions: According to the results of this study, the health-promoting behaviors of Korean and American-Korean elders strongly correlated with life satisfaction and self-esteem. Therefore, health promoting programs that enhance life satisfaction and self-esteem should be developed in order to promote the elderly's healthy lifestyle.
The Purpose of this study were 1) to find out the characteristics of health promoting Ii festyles of the study samples, 2) to determine the relationships of physical health and mental health, 3) to determine the relationships of health promoting lifestyles and health status. The health promotion model was tested with a volunteer sample of 141 female students in a university in Seoul. The health promoting lifestyle was measured by the scales developed by Walker and Pender(1987). Health status was measured by Cornell medical Index. Pearson's product moment correlations and stepwise multiple regression technique were used to analyze the data. The results are summarized as follows; 1. The items with the highest frequency of the subscales of health promoting lifestyle were 'look forward to the future' $(133,\;95.0\%)$ in self actualization, 'Enjoy being touched and touching people close to me' $(122,\; 87.14\%)$ in relationships with others. The strongest correlation was between general competence In self care and nutritional practice(r=5388, P<. 0001). 2. Fatigability, frequency of illness, miscellaneous diseases, habit, mood and feeling patterns were predictive of mental health. 3. Total health promoting lifestyles explained $14\%$ of the variance for health status. Relationships with others explained $20.9\%$ of the variance for health status. In conclusion, because the most variance explained was $420.9\%$, there must be other variables not accounted for by the model. that influence health promoting behaviors. Psychological factors accounted for more variance than other factors. Intervention studies focused on psychological factors as a means of altering behaviors have great potential for the design of interventions to increase health promoting behaviors. Further testing of the model with this population should be done.
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