Objectives : To identify the relationship between the internet addiction of adolescents and their Health Promotion Lifestyle Profile and Perceived Health Status, and thereby to detect the impact of internet addiction on the health of adolescents, produce the basic information necessary to develop a prevention program for internet addiction and to plan for a health promotion program. Methods : This study was designed as a cross-sectional study, and the subjects were the second-grade students of three junior-high and three high schools located in the city of K in Kyung Gi Province. Out of 769 subjects, 764 completed the questionnaires (99.3%); 369 (48.3%) junior-high school students and 395 (51.7%) high school students. The questionnaires were composed of Young's Internet Addiction, Health Promotion Lifestyle Profile, Perceived Health Status, and general characteristics. We used t-test, ANOVA in means comparison between groups, X2-test in frequency analysis, and multiple regression analysis in multivariate analysis, using the SAS $8.1^{\circledR}$ program. Results : There was a statistically significant difference in Health Promotion Lifestyle Profile according to internet addiction status (severe addiction vs. other status, p<0.0001). The Perceived Health Status scores was lowest in the severe addiction group (p<0.001). There was also a significant negative correlation between internet addiction and Health Promotion Lifestyle Profile (p<0.0001). The results of multiple regression showed that Young's Addiction Score was significant for the subjects' Health Promotion Lifestyle Profile after controlling for other variables (p<0.0001). Conclusions : This study showed that the severe internet addiction group had the lowest score in Health Promotion Lifestyle Profile and Perceived Health Status, which suggests that the addiction could have a negative effect on the health status of adolescents.
This descriptive correlational study was conducted to identify the variables related to a health promoting lifestyle in college female students. Participants were 232 female college student living in chinju city who selected by convenience sampling method. The data were collected by self-reported questionnaires from May to December. 1999. The data were analyzed by using descriptive statistics. pearson correlation coefficient. t-test. ANOVA. Duncan verification and stepwise multiple regression with an SAS program. The result to this study were as follows; 1) The average score of a health promoting lifestyle performance was 97.19, the average score of each item was 2.37. among the each items. self-actualization was obtained the most high score(31.10) and stress management was obtained the low score(14.74). 2) The result of compare health promoting lifestyle performance with related variables was follows; (1) In intervention factor, school lifestyle level showed significant positive correlations with teaching relationship level. (2) In Analysis of relationship of health definition. self-efficacy, perceived health status. and perceived benefit & barriers of health that is recognition-perception factors. health promoting lifestyle performance showed significant positive correlations with health definition (r = .2948. p = .001) and self-efficacy (r= .4587. p = .001). (3) A health promoting lifestyle showed significant positive correlations with school lifestyle(9.9%), family support (12.8%), and relationship with teacher (14.6%). This result indicate that; 1) need to development the health promoting model that suitable to our situation. 2) need to development the health promoting model that include family member and application and test to women. 3) need to development of the health promotion program and health education to women. 4) need to study for find out variables that have a influence to stress management. exercise. nutrition. and health promoting performance with low score in test.
The Journal of Korean Society for School & Community Health Education
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제13권1호
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pp.13-22
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2012
Objectives: The purpose of this study was to investigate the influence of the learning attitude and of learning satisfaction by health lifestyle. Methods: Out of total 640 questionnaires, 624 questionnaires were collected and considered to be valid for final analysis. The questionnaire consisted of 38 questions, including 6 general characteristics, 16 health lifestyle, 11 learning attitude and 5 learning satisfaction. The collected data were analyzed with SPSS version 12.0. Results: The learning satisfaction of the target group according to the general characteristics revealed a meaningful difference between nursing science and dental hygiene among departments. The learning attitude of the target group according to the general characteristics showed a meaningful difference among sex, grade, department and academic record. Conclusions: The learning attitude according to the health lifestyle revealed a meaningful difference in health oriented lifestyle, and the learning satisfaction according to the lifestyle revealed a meaningful difference between the health oriented style and the wellbeing oriented lifestyle. The learning attitude and the learning satisfaction according to the lifestyle of the health affiliated student according to the lifestyle were connected with each other. Therefore, it is expected that the students concerned about health reveal the excellent learning attitude and the high learning satisfaction.
Purpose: This study was to analyze changes of motivation and health-promoting lifestyle in 3 months after medical examination, and to identify the influencing factors on the change of health-promoting lifestyle. Methods: The subjects of this study were 81 adults who took medical examination at a general hospital health clinic in Cheonan city. The instruments used in this study were the motivation scale and modified HPLP. For data collection, the first survey was conducted from March 16 to April 19, 2001, and the second survey was carried out by mail three months after the medical examination from June 16 to July 19, 2001. Results: 1. The age of the subjects ranged from 26 to 66 years, 71.6% were male, and the major group was office workers(43.2%). 2. The average score of motivation scale was significantly improved in three months to 520.7(SD=82.7). All sub-scales of motivation scale, self-efficacy(t=-4.204, p=.000), perceived benefits(t=-4.263, p=.000), perceived barriers (t=4.305, p=.000), and emotional salience (t=-6.169, p=.000) showed significant improvements in 3 months. 3. The average score of health-promoting lifestyle was significantly increased to 62.5 (SD=9.8) (t=-5.111, p=.000) after 3 months. Health responsibility(t=-6.098, p=.000), eating habit(t=-3.625, p=.001), exercise(t=-2.557, p=.012), and smoking habit(t=-2.157, p=.034) showed significant improvement. But stress management was not changed at the significant level in 3 months(t=-1.832, p=.071). 4. As the result of multiple regression analysis, it was found that perceived barriers, self-efficacy and monthly mean income had a significant influence on health-promoting lifestyle in 3 months after the medical examination. These variables explained 42.4% of variance in health-promoting lifestyle in 3 months after the medical examination. Conclusion: Periodic medical examination and guidance for healthy lifestyle was effective to change the motivation and to improve health promoting lifestyle.
Journal of Korean Academy of Fundamentals of Nursing
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제21권2호
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pp.174-182
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2014
Purpose: This study was done to investigate the probability of stroke, knowledge of stroke, and health-promoting lifestyle among stroke risk groups. Method: A descriptive correlational design was used. Data for 110 patients were analyzed. The probability of stroke was calculated using the Stroke Risk Profile from the Framingham Heart Study (2013), knowledge of stroke was measured using a questionnaire developed by Yoon et al. (2001), and health-promoting lifestyle was measured using the HPLP-II, developed by Walker et al. (1995). Results: The average probability of stroke was 11.74, knowledge of stroke, 67.88, and health-promoting lifestyle, 2.27. Probability of stroke showed significant differences according to gender. Knowledge differed according to patients' salaries. Health-promoting lifestyle showed significant differences according to gender. There were no significant correlations between probability of stroke and knowledge of stroke or probability of stroke and health-promoting lifestyle, but there was a significant correlation between knowledge of stroke and health-promoting lifestyle. Conclusion: Results indicate the necessity of active education to increase knowledge related to stroke which will contribute to an increase in health-promoting behaviors and make primary prevention a reality in the reduction of risk of stroke among stroke risk groups.
Purpose: This study aimed to investigate the level and related factors related to health-promoting lifestyle in operating room nurses in Korea. Method: A cross-sectional descriptive survey design was employed. The data were collected using questionnaire for three weeks in December 2018 from 110 operating room nurses working for more than six months in a general hospital located in Seoul. The Health Promoting Lifestyle Profile-II, The Korean Version of the Practice Environment Scale of Nursing Work Index, and Operating nurse's Job stress Factor Scale were used. Results: Significant relationships were observed between health promoting lifestyle and educational level(p= .025), perceived economic status (p= .001) wearing a lead apron for protection from radiation during the operation(p< .001), work satisfaction(p= .016), and fatigue related to work(p= .006). Also significant correlations were identified between nursing work environment and health promoting lifestyle. However, the health promoting lifestyle was not statistically different based on occupational stress(p= .365). In multiple linear regression analyses, the level of health promoting lifestyle found to be higher in subjects who did not wear a lead apron for protection from radiation(p= .017), and who had more positive perception of the nursing work environment(p= .034). Conclusion: In order to increase health promoting lifestyle of operating nurses, the strategies to improve the nursing work environment are essential.
Purpose: The purpose of this study is to identify the health promoting lifestyle of Korean immigrants and to develop the health promotion program for Korean immigrants. Method: The subject of the study were 207 adults chosen from Korean religious organizations located in Chicago area. The instrument used in this study was Health Promoting Lifestyle Profile (HPLP) by Walker. Sechrist & Pender(l995). The data were collected between August 1 and October 20. 2000 by using self-administered questionnaire. Analysis of data was done by using descriptive statistics. Pearson correlation coefficient, t-test, ANOVA. Duncan test and stepwise multiple regression with SPSS program. Result. 1) The average score of performance in the health promoting lifestyle 2.43 scores. In the subscales, the highest degree of performance was 'spiritual growth', following 'nutrition', 'interpersonal relationship', 'stress management' and 'health responsibility' and the lowest degree of performance was 'physical activity'. 2) Health promoting lifestyle was significantly correlated with such demographic variables as age (F=2.659. p=.049), family income(F=4.696. p = .027), subjective health status(F = 3.882. p=.005), the frequency of pray(F=9.442. p = .000), the frequency of reading the bible(F=8.584. p= .000) and years of residence in the US(F=4.273. p= .015). 3) Health promoting lifestyle was significantly predicted by the frequency of pray, subjective health status. current working status, taking medication, level of education and family income. These variables explained 27.4% of variance of health promoting lifestyle. Conclusion The above findings indicate that it is necessary to develop a health promotion program facilitating exercise and enhancing health responsibility for Korean immigrants. It is suggested that the comparative study to identify the differences and similarities between Korean immigrants in the U.S.A. and Korean residents in Korea.
Purpose: The purpose of this study was to investigate the factors influencing health promoting lifestyle in the elderly. Method: The subject of this study was 305 elderly person over the age of 60, living in rural and urban, Korea. For the analysis of collected data, descriptive statistics, t-test, analysis of variance and stepwise multiple regression were used for statistical analysis with SPSS statistical program. Results: The average item score for the health promoting lifestyle was 2.46, The higher score on the subscale was nutrition(2.65). The lowest score on the subscale were physical activity(2,36) and stress management(2,36). General characteristics showing statistically significant difference in health promoting lifestyle were age, residential district, live together spouse, education, religion and pocket money in the elderly. Stepwise multiple regression analysis revealed that the most powerful predictor of health promoting lifestyle in the elderly was prior related behavior(R2=.554). A combination of prior related behavior, perceived benefits of action, perceived self-efficacy, commitment to a plan of action, and interpersonal influences accounted for $64.3\%$ of the variance in health promoting lifestyle in the elderly, Conclusion: The factors influencing on health promoting lifestyle for elderly were prior related behavior, perceived benefits of action, perceived self-efficacy, commitment to a plan of action, and interpersonal influences.
Purpose: The purpose of this study was to examine the relationships between self-efficacy and health promotion lifestyle in middle and high school teachers. Methods: This study used survey data from 26 middle and high schools The study included 181 teachers who completed questionnaires. The questionnaires were consisted of demographic and occupational characteristics, self-efficacy on health behaviors, and Health Promotion Lifestyle Profile (HPLP). Analyses were done using frequency, percentage, correlation, and multiple regression analysis with dummy variables. SAS 8.2 was used. Results: Mean self-efficacy score on health behaviors was 4.1${\pm}$0.5. Mean health promotion lifestyle scores were healthy diet (2.4${\pm}$0.5), physical activity (2.0${\pm}$0.8), stress management (2.3${\pm}$0.5), self-fulfillment (2.9${\pm}$0.5), responsibility of health (2.3${\pm}$0.6), and personal relationship (2.7${\pm}$0.6). Self-efficacy was significantly related to all health promotion lifestyle scores (healthy diet, physical activity, stress management, self-fulfillment, responsibility of health, and personal relationship). Among demographic and occupational characteristics, sex and school level was significantly related to healthy diet. Sex was significantly associated with physical activity. Marital status was significantly related to responsibility of health. Conclusions: The results showed that intervention programs for middle and high school teachers targeting health promotion lifestyle are needed. These intervention programs would be effective when sex, age, marital status, and school level are considered. In addition, given that higher self-efficacy was related to higher health promotion lifestyle scores, it strengthens the need for further investigations aimed at how to change self-efficacy in teachers.
The purpose of the study was to identify the mediating effects of health promoting lifestyle in the relationship between life stress and adaptation to college life of health department college students. The data was collected for 10 days form sept. 3 to 14, 2012. Among a total of 351 cases of questionaries, only 342 cases were used. To data were analyzed by frequency, t-test, ANOVA, correlation and a hierarchical multiple regression analysis as suggested by Baron and Kenny(1986) using PASW statistics 18.0. From the analyses, there was a negative relationship between life stress and adaptation to college life but a positive relationship between health promoting lifestyle and adaptation to college life. There was a partial mediating effect of health promoting lifestyle between life stress and adaptation to college life. The results indicate a need to develop programs that effectively promote the health promoting lifestyle of health department college students to decrease life stress and maximize adaptation to college life.
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