Purpose: The purpose of this study was to compare health promoting behavior between working and non-working mothers with infants and toddlers, and to investigate factors affecting the mothers'health promoting behavior. Methods: This descriptive study was conducted through conveniently sampled 403 women who visited the child health clinics at two public health centers. The questionnaire included the Health Promoting Life Style Profile (HPLP) and a visual analogue scale for subjective health status. ANCOVA, one-way ANOVA, correlation analysis, and stepwise multiple regression were conducted using SPSS ver. 21. Results: Working mothers' average HPLP score ($2.30{\pm}0.37$) was higher than non-working mother's ($2.15{\pm}0.37$). The score of the physical activity subscale was lowest among the subscales and there was a difference between the two groups. Subjective mental health status was the only predictor of working mothers'health promoting behavior, and it explained 23.2% of variance in health promoting behavior. Subjective mental health status, education, and age were the predictors of non-working mothers' health promoting behavior and they explained 27.2% of variance in health promoting behavior. Conclusion: According to the findings, both working and non-working mothers' health promoting behaviors were low. To promote mothers' health, it is necessary to develop diverse community health promotion programs to support mothers.
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
The study was conducted to investigate the health promoting behavior, self-esteem and social support of college students. The subjects were 170 college students(health related department and non health related department) of college in K, C, U city. The instruments used for this study were a survey of general characteristics(9 items), health promoting behavior(47 items), self-esteem(10 items), social support(25 items). Analysis of data was done by use of mean, percentage, t-test, ANOVA, Pearson correlation coefficient and stepwise regression with SAS program. The results of this study are as follows ; 1. Health promoting behavior were showed significant difference in two groups. 2. Health promoting behavior of two groups according to general characteristics were showed significnant difference in religon, personality, exercise, health food choice of A group and perceived health status, personality, exercise, health food choice of B group. 3. Significant correlation between exercise and health promoting behavior, self-esteem and social support, social support and health promting behavior in A group and between perceived health status and exercise, perceived health status and social support, perceived health status and health promoting behavior, self-steem and social support, exercise and health promoting behavior, self-esteem and health promoting behavior, social support and health promoting behavior in B group was found. 4. Significant correlations were found between most of the subscales of total health promoting behavior. 5. Predicting factor of health promoting behavior were social support and exercise in A group(51.74%) and social support, exercise and self-esteem in B group(41.18%).
Purpose: The purpose of this study was to describe perceived conception of health, family support and health Promoting behavior; as well as to assess factors that influence health promoting behavior. Method: Study participants were 165 elderly people over the age of 65, living in C city. The instruments were Laffery's health concept scale, the family support scale by Kang, and the health promoting behavior scale by Walker et al. Results : 1. The scores for level of health concept ranged from 28 to 112, and had a mean score of 75.16. The scores for level of family support ranged from 11 to 55, and had a mean score of 41.55. The scores for health promoting behavior ranged from 40 to 160 with mean score of 98.07. For health promoting behavior the participants revealed that the most frequent practices were in nutrition, and the least frequent, in exercise. 2 Higher levels of health conception and family support were correlated with an improving level of health promoting behavior. 3. The factor most influencing health promoting behavior in elderly people was family support. Family support accounted for 11% of the variance in health promoting behavior. A combination of health conception, education level and dwelling pattern accounted for 23% of the variance in health promoting behavior. Conclusion : Perceived health conception and family support were identified as important variables for health promoting behavior in elderly people.
The purpose of this study was to investigate the factors influencing health promoting lifestyles in undergraduate students thus providing the basic data necessary to establish a health promoting program. The subjects of this study were 392 undergraduate students, living in Seoul, Chung-Buk, and Kangwon, during the period from May 10 to July 15, 2000. The instruments for this study were the health promoting lifestyles scale developed by Bak, Insuk(l995), the hardiness scale by Suh, Yeonok(1995), the social support scale by Su, Moonja(l988), and the perceived health status scale by Lawton et al.(l982). The results of this study are as follows; 1. The average score for health promoting lifestyles was 2.47 on 4 point scale. The health promoting lifestyles categories ‘harmony relationships’(3.08) and ‘sanitary life’(2.97) revealed higher scores, whereas scores for ‘healthy diet’(2.31), ‘exercise & activity’(2.20) and ‘professional health management’(1.48) were lower. 2. The mean score for hardiness, social support and perceived health status was 4.43(on 6 point scale), 2.91(on 4 point scale) and 3.11(on 5 point scale) respectively. 3. There was a statistically significant difference in degree of health promoting lifestyle according to religion(t=2.05, p=0.04) and spending money per month(F=2.98, p=0.03). 4. Health promoting lifestyles showed significant positive correlation with hardiness, social support, and perceived health status. 5. Stepwise multiple regression analysis revealed that the most powerful predictor of health promoting lifestyle was hardiness. Social support and perceived health status have significant effects on health promoting lifestyles. These predictive variables of health promoting lifestyles explained 24% of variance. Finally, the result of this study will provide important factors for the development of a nursing intervention program for the promotion of healthy lifestyles in Korean undergraduate students.
This study has been done for the purpose of identifying performance of health promoting behavior and the variables affecting health promoting behavior in college students. 350 college students at D university in P city were chosen by cluster sampling. The data were collected by questionnaire from December 4 to December 20, 1996. The instruments used for this study included health promoting lifestyle, self-esteem, health locus of control and perceived health status. The data were analyzed by use of mean, ANOVA, Pearson correlation coefficient and stepwise multiple regression. The results are summarized as follows; 1. The average item score for the health promoting behavior was low at 2.49. In the sub-categories, the highest degree of performance was , 2.99, and the lowest degree was , 1.43. 2. There was no statistically significant difference between the mean for health promoting behavior of the female, 2.49 and that of the male, 2.48(t=-0.3664, p=.7143). But there was statistically significant difference among the mean for health promoting behavior classified by grade(F=3.67, p=.0126). 3. Performance of health promoting behavior was positively correlated with and , and negatively correlated with and . 4. The most important factor affecting performance of health promoting behavior was .
PURPOSE: This study aimed to evaluate the effects of health-promoting behaviors on the subjective well-being of a physical therapist. METHODS: Survey data were collected from 247 physical therapists in Daejeon city. The baseline for health-promoting behaviors was determined using Health Promoting Lifestyle Profile (HPLP), subjective well-being was determined using Positive Affect and Negative Affect Schedule (PANAS), quality of life was measured using the SF-36 (Short-Form 36), and pain level was determined using the Quadruple Visual Analogue Scale (QVAS). Health-promoting behaviors and related factors were analyzed using an average comparative analysis (t-test), and the factors relevant to subjective well-being and health-promoting behaviors were evaluated using correlation analysis (Pearson's correlation coefficient). Factors affecting health-promoting behaviors were evaluated using stepwise multiple regression analysis (stepwise multiple regression). RESULTS: The mean score for health-promoting behavior was 3.73, with emotional support having the highest score (3.90) and regular meals having the lowest score (3.16 points; p<0.01). Health-promoting behavior was significantly correlated with positive emotions and negative emotions are subjective well-being, negative emotions and pain were noted (p<0.01). Health-promoting behaviors showed a significant correlation with quality of life (r=0.04), positive emotions (r=0.21; p<0.01), negative emotions (r=0.16; p<0.05), and pain level (r=0.016). The results of this study showed that health-promoting behaviors are significant predictors of subjective well-being in physical therapists (p<0.01). CONCLUSION: Physical therapists have to maintain their health by avoiding infections. Regular exercise is the most important factor among all health-promoting behaviors.
This study was undertaken to identify the health-promoting behavior and to explore the relationship between health-promoting behavior, self-efficacy, self-esteem and climacteric symptoms among the middle-aged women. The subjects for this study were 101 women and data were obtained using a self-reported questionnaires. The Questionnaire was composed of a health promotion life styles profile, self-efficacy scale, self-esteem scale, and, climacteric symtoms check-list. Data was analyzed by the SAS program using ANOVA, Pearson correlation and stepwise multiple reggression. The results are summarized as follows : 1. The scores on the health-promoting behavior scale ranged from 46 to 114 with a mean score of 77.95(SD=12.99). 2. The scores on the health-promoting behavior of housewives was significantly higher than working women. 3. Stepwise multiple regression analysis showed that : 1) self-esteem was the main predictor and accounted for 21.75% of the total variance in health-promoting behavior 2) Self-esteem, climacteric symptoms and health-promoting behavior were contributors to quality of life. 4. In the relationship between variables, self-esteem was positively corelated with health-promoting behavior and negatively with climacteric symptoms. In conclusion, self-esteem, age and occupation were important variables in health-promoting behavior. The results of this study can be used for the management of health in middle aged women to Increase their quality of life of them.
This study was the research of health promoting behavior of the 6th grade students of elementary school and general characteristics, health related characteristics and health promoting behavior following the health education were analysed. The performance of health promoting behavior related to the prevention of infectious diseases showed the highest score above all. The school, which received health education by the scheduled education course, home correspondence, and health broadcasting education, showed higher health promoting behavior performance after the health education. On the basis of the results of this study, health promotion program development is required to accomplish health promoting behavior among the elementary school students.
Purpose: The aims of this study were to identify health literacy and health promoting behaviors in adolescents and to examine the relationship between these variables. Methods: A descriptive correlational study design was used with self-administrated questionnaires. A total of 212 third-year middle school students in G province were conveniently sampled. Korea health literacy assessment tool-2, Korean functional health literacy test, and the health promoting lifestyle profile were used. Data analyses were performed using SPSS/WIN 21.0. Results: Linguistic health literacy and functional health literacy scores were $37.18{\pm}17.74$ and $11.86{\pm}2.77$, respectively. Health promoting behaviors was $2.95{\pm}0.34$. The relationships between linguistic health literacy and health promoting behaviors (r=.405, p<.001) and between functional health literacy and health promoting behaviors (r=.168, p<.001) showed statistically significant positive correlations. Linguistic health literacy was also positively related with functional health literacy (r=.196, p<.001) with statistical significance. Conclusion: The degree of health literacy of middle school students was somewhat low, but was significantly correlated with health promoting behaviors. To improve health promoting behaviors, there needs to be an increase in health literacy.
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