• Journal of the Korean Society of School Health
• /
• v.32 no.3
• /
• pp.165-174
• /
• 2019

Purpose: The purpose of this study was to identify the influence of eHealth literacy on health promoting behaviors, thereby providing basic data for the development of interventions for health promoting behaviors among university students. Methods: Data were collected from 242 university students aged 19 and over in a university located in K province in South Korea. Participants responded to structured questionnaires in September 2018. eHealth literacy and health promoting behaviors were measured by eHealth Litaracy (EHL) and a translated version of the Health Promoting Lifestyle Profile (HPLP-II), respectively. The correlation between eHealth literacy and health promoting behaviors were analyzed using Pearson's correlation, and multiple regression analysis was carried out to examine the influence of eHealth literacy on health promoting behaviors. Results: The participants had a moderate level of eHealth literacy with the greatest score recorded in the sub-domain of functional eHealth literacy and the lowest in the sub-domain of critical eHealth literacy. Female students and students who majored in healthcare had higher levels of eHealth literacy than male students and those with non-healthcare majors. The degree of health promoting behaviors was moderate or lower with the highest score being in the sub-domain of interpersonal support and the lowest in the sub-domain of health responsibility. Health promoting behaviors had significant relationships with eHealth literacy, exercise hours, subjective health status, and health concerns. Multiple regression analyses revealed that the participants engaged more in health promoting behaviors when they had greater eHealth literacy (β=.18, p<.001), interest in their own health (β=.33, p<.001), exercise hours (β=.18~.23, p<.001), and subjective health status (β=.17~.18, p=.007~.031). Conclusion: In order to facilitate health promoting behaviors of university students, interventions for health promoting behaviors need to be developed including strategies to improve competencies relevant to critical eHealth literacy and to increase exercise hours.

• Journal of East-West Nursing Research
• /
• v.14 no.1
• /
• pp.56-67
• /
• 2008

Purpose: This study was a descriptive survey study to examine the degrees of the health perception, health knowledge, and health promoting behavior in the elderly, and the relationship among the above factors. Methods: Subjects were 183 persons with the age over 65 years living in Seoul. Measures were Health Perception Questionnaire (HPQ) developed by Ware (1979), the health knowledge instrument developed by Ha Gwi-Yeom (2005), and the Health Promotion Lifestyle Profile (HPLP) developed by Walker, Sechrist & Pender (1987) and modified by Hong Young-Ae (2003). Data were collected from March 4 to April 12, 2007. Data were analyzed by frequency, percentage, mean, standard deviation, t-test, ANOVA, Pearson's correlation using the SPSS program. Results: The mean level of health perception was 2.71(${\pm}0.77$), the mean level of health knowledge was 7.10(${\pm}1.82$), and the mean level of health promoting behavior $2.72{\pm}0.86$. Health promoting behavior showed a positive correlation with health perception (r=.715) and health knowledge (r=.543), and a positive relation was observed between health perception and health knowledge (r=.526). Conclusion: The enhancement of health perception and health knowledge are needed to improve health promoting behavior of the elderly. Also, the general characteristics of elderly should be considered to improve health promoting behavior of elderly.

• Women's Health Nursing
• /
• v.8 no.3
• /
• pp.358-370
• /
• 2002

The purpose of this study was to investigate the relationship between college women's resourcefulness and health promoting behaviors. The subjects were 215 college women students who were non-married and ranged in grade from 1 to 4. Data was collected from Nov. 1 to Nov. 30, 2001 by a structured questionnaires. The instruments, which were modified by researcher and used for this study, were the revised Health Promotion Lifestyle Profile (HPLP) developed by Walker, Sechrist and Pender(1987), the Resourcefulness developed by Rosenbaum(1980) and the general characteristic scale developed by the researcher. The data were analyzed by the SPSS/PC+ program using t-test, ANOVA, Pearson Correlation Coefficient and stepwise multiple regression. The results were as follows : 1. The mean score of resourcefulness was 109.29(range:$36\sim180$). 2.There were statistically significant difference in the score of resourcefulness according to the grade(F=2.889, P=.037) and drinking(t=-3.264, P=.002). 3.The mean score of health promoting behaviors was 107.21(range: 44~176). 4.There were statistically significant difference in the score of the health promoting behaviors according to the grade(F=.141, P=.039), smoking(t=-3.314, P=.008) and drinking (t=-4.091, P=.000). 5. College women's degree of resourcefulness showed a positive correlation with the degree of health promoting behavior (r=.573, P=.000). 6. By means of multiple regression analysis, the resourcefulness provided explained 32.9% of health promoting behavior. In conclusion, the resourcefulness should be considered when developing nursing strategies for college women, especially when dealing with the health promoting behaviors. The recommendations from this study necessitate of further studies to investigate how smoking and drinking have an effect on the health promoting behaviors.

• Journal of Society of Preventive Korean Medicine
• /
• v.5 no.1
• /
• pp.10-30
• /
• 2001

Oriental medicine needs to be armed with theories on health-improvement concept under it and basic data matching its views, in order to participate in the health-improvement service in industrial work places. The Orient medicine health-improvement program defines factors that determine individuals' lifestyle, and provides information and technologies for workers to practice in life. To that end, this research compares and analyzes health-improvement concept and health care, defines relations between individuals' health state and their lifestyle as the basic data needed to perform health-improvement business for workers. 1. The subjects employed for this research is categorized into; by gender, males 52.1% and females 47.9% with no big difference between them; and by age, 20s, 6.1%, 30s. 33.9%, 40s, 34.1%, and 50s, 24.8% with 30-50 accounting for most of it. By marriage status, unmarried represents 7.1%, and married 79.1% with most of them married; by revenue, under one million won represents 3.0%, 1-2 million won 26.4%, 2-2.49 million won 11.2%, above 2.5 million won 11.2%, and 1-2.5 million won a majority. By living location, owned houses represents 65.4%, rented houses 14.7%, monthly-rented 9.5%; and by education, elementary and middle school represent 16.9%, high school and its dropouts 22.6%, and junior college and higher 51.6%, with high school and higher occupying most of the group. 2. By job, office workers and managerial workers represent 12.3%, part-timers 21.0%, manual workers 11.4%, jobless 0.6%, professionals 35.6%, service 0.6%, housewives 8.4%, and equipment/machinery operation/assemblers 10.1%. Of this, jobless and part-timers, totaling three, are dropped from this research. By years worked, 0-3.9 years represents 9.7%, 4-7.9 years 6.7%, 8-14.9 years 18.4%, above 15 years 28.7%, and no respondents 36.5%. 3. The degree of the subjects practicing life-improvement lifestyle, on a scale of 1 to 4, is an average of 2.69, personal relations 3.04, self-realization 2.92, stress management 2.76, nutritional state 2.73, responsibility for health 2.47, and athletic activities 2.18, with personal relations earning the highest points and athletic activities the lowest. As for factors influencing health-improvement lifestyle, there is no significant difference between gender, age, and marriage status. Meanwhile, there is significant difference between revenue, dwelling pattern, education level, etc. That is, higher income-bracket, owned houses, rented houses, monthly-rented houses, and higher-educated, in this order, show higher average in health-enhancement lifestyle. By job, housewives, manual workers, office workers, professionals, equipment/ machinery operation/ assemblers, and part-timers, in this order show higher points, while there is no difference with significance by years worked. 4. Factors that affect health-improvement lifestyle are shown below. Self-realization is influenced by age, marriage status, type of dwellings, and level of education; responsibility for health by type of dwellings; athletic activities by gender and age; nutrition by age, marriage status and type of dwellings; personal relations by marriage status; and stress management by type of dwellings. 5. Areas with high points by job show this: in self-realization, office workers, manual workers, housewives, professionals, equipment/ machinery operation/ assemblers, in this order, show difference with significance; in the area of responsibility for health, manual workers, housewives, equipment/ machinery operation/ assemblers, professionals, office workers and part-timers, in this order, do. In athletic activities, manual workers, housewives, office workers, professionals, equipment/ machinery operation/ assemblers, and part-timers, in this order, show difference with significance; in nutrition, housewives, office workers, manual workers, professionals, equipment/ machinery operation/ assemblers, and part-timers, in this order do; and in stress, housewives, office workers, manual workers, professionals, equipment/ machinery operation/ assemblers, part-timers, in this order do. By years worked, more years showed higher points in the area of responsibility for health and nutrition; in the area of athletic activities, above 15 years, 4-8 years, below 4 years and 8-14 years, in this order, show higher points; and no difference shows in realization, personal relation, and stress area. 6. To look at correlation between overall and divisional health-improvement practice degree, this researcher has analyzed it using Person's correlation coefficient. Self-realization, responsibility for health, athletic activities, nutrition, support for personal relations, and stress management show significant correlation with the sub-divisions, while all health-improvement lifestyle shows significant correlation with the six sub-divisions.

• Journal of Korean Academy of Nursing
• /
• v.29 no.2
• /
• pp.225-237
• /
• 1999

The purpose of this study was to analyze the relationship among the health promoting behaviors, self-reported climacteric symptoms and depression on a cross-sectional survey desist The subjects were 108 middle-aged women who were nonhystrectomized and ranged in age from 40 to 60. They were selected in Seoul and Kyoung-ki province. Korea. Data were collected from Oct. 25 to Nov. 10, 1997 by a structured Questionnaire. The instrument used for this study was the revised Health Promotion Lifestyle Profile(HPLP) developed by Walker, Sechrist and Pender, revised Climacteric Symptoms Scale developed by Chi, Sung Ai, and the Beck's Depression Inventory(BID). The data were analyzed by the SPSS /PC$^{＋}$ program using t-test, ANOVA and Scheffe test as a post hoc and Pearson Correlation Coefficient. The results of the study were as follows ; 1. The mean score of health promoting behaviors was low(2.42$\pm$0.35). There were statistically significant difference in the score of health promoting behaviors according to the educational background. family income, marital satisfaction, and whether or not taking a restoraitve food(t ＝－2.07, F＝2.60~7.57, p＜0.05). 2. The mean score of self-reported climacteric symptoms was 1.69 ; 99% of middle-aged women had symptoms. There were statistically significant difference in the score of middle-aged women's self-reported climacteric symptoms according to the age, number of children, educational background, occupation, family income, marital satisfaction, whether or not receiving hormone replacement therapy(HRT) or consultation experience with a professional, and perceived health status(t＝－2.04~3.69. F＝2.87~11.63, p＜0.05). 3. The mean score of depression was 10.84. There were statistically significant differences in the score of the depression according to the age, number of children, educational background, occupation, marital satisfaction, whether or not receiving menopausal treatment or consultation by a professional, and perceived health status(t ＝－2.25~3.00, F＝3.50~9.24, p＜0.05). 4. Women's degree of health promoting behaviors was a negative correlation with the degree of climacteric symptoms(r＝－0.19, p＝0.03) and the degree of depression(r＝－0.23, p＝0.01). The degree of climacteric stmptoms was a positive correlation with the degree of depression(r＝0.64 p＝0.01). In conclusion. health promoting behavior should be considered when developing nursing strategies for middle-aged women. especially when dealing with climacteric symptoms and depression.

• Korean Journal of Occupational Health Nursing
• /
• v.8 no.1
• /
• pp.22-41
• /
• 1999

This study intended to analyze the health promoting behaviors, compare their factors according to the shift pattern of duties of women workers who were working in the industrial workplace and present basic data in planning systematic and effective programs of health promotion for three-shift system and day-duty. Using Quota Sampling, 219 women workers were selected as subjects from 5 workshops which had 50 settled workers up to 300 and 10 factories which had more than 300 located in Taegu and Kyung-Book Province. Data were collected by means of questionnaire from September 12 to September 30, 1998. As the instruments of the study were used Health Promotion Lifestyle Profile(HPLP) which was adapted and adjusted by Seo, Y. O. for health promoting behavior, the one developed by Moon, J. S. (1990) for health-belief, the one developed by Sherer et al.(1982) and then adapted by Oh, H. S. for self-efficacy, and the one developed by Park, J. W. (1985) for social support. The analysis of data were performed with Cronbach's ${\chi}^2$-test, t-test, ANCOVA, Kendal tau, Pearson correlation, Stepwise Multiple Regression test using SPSS program. The results of the study are as follows : 1. There was a significant difference in age(${\chi}^2=32.46$, p=0.000), career (${\chi}^2=18.47$, p=0.000), working day(t=-3.18, p=0.000) by the shift pattern of duties in terms of socio-demographic characteristics. 2. There was a statistically significant difference between the two groups on the health promoting behaviors (t=2,52, p=0.012). The score of three-shift group on health promoting behaviors was 2.27, showing that it was lower by .13 than that of day-duty group(2.40). 3. ANCOVA involving age, career and working day as covariables, which had revealed significant difference before, showed that health promoting behaviors by the shift patterns of duties was significantly different(F=4.88, p=0.028). 4. In consideration of variables that have an influence on health promoting behavior by the shift pattern of duties, social support occupied 19.4% of health promoting behavior in the three-shift group and 22.5% including the sense of self-efficacy. In the day-duty group, social support occupied 34.4% of health promoting behavior. 5. The score of three-shift group(2.94) was significantly lower than that of day-duty group(3.12) in the perceived benefit of health-belief(t= -3.29, p=0.001), while the score of three-shift group (2.48) was significantly higher than that of day-duty group(2.24) in the perceived barrier (t=4.22, p=0.000). In the sense of self-efficacy(t=-4.20, p=0.000), the score of three-shift group(3.24) was significantly lower than that of day-duty group(3.53) while in social support(t=-4.56, p=0.000) the one of three-shift group(2.64) was significantly lower than that of day-duty group(2.88). The suggestions are as follows on the basis of the results of this study : 1. It is required to develop health promoting program that takes the shift pattern of duties of women workers into consideration. In addition, there are special demands on developing nursing strategies for health promoting behavior of three-shift workers. 2. It is required to develop specific strategies for social support which is the most significant factor to the health promoting behavior for women workers. 3. It is necessary to develop some programs for improving the sense of self-efficacy, social support, and health-belief of three-shift workers. To achieve these tasks, industrial nurses should play an active role and improve the ability of self-health care of women workers.