• Research in Community and Public Health Nursing
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• v.19 no.2
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• pp.247-259
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• 2008

Purpose: This study was conducted to develop a teacher-efficacy scale which is adequate for heath education teachers. Method: A preliminary questionnaire was made based on the hypothetical factors. A total of 364 health education teachers answered to the preliminary test, and the potential factors of teacher-efficacy were checked out by exploratory factor analysis (EFA). In the main test 378 health education teachers answered, the factor structure was drawn by EFA, and confirmatory factor analysis (CFA) was conducted to test and the fitness of the factor model. Results: Through the preliminary test, 5 potential factors were found, which were instruction, health-service, administrative task, interpersonal relationship, and community connection. Also, 48 items were reduced to 31 items. Through the main test, from the 34 items were extracted 4 factors with 24 items, And then teacher-efficacy scale was developed, which included the subscales of instruction efficacy, health-service efficacy, task-interpersonal efficacy, and community connection efficacy. Conclusion: Different from that for other subject teachers, the factor structure for health teachers had 4 factors with 24 items. The scale developed in this study is consistent with health teachers' work areas, and for this reason, has significance as a adequate and valid scale to measure teacher-efficacy of health education teachers.

• Research in Community and Public Health Nursing
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• v.27 no.1
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• pp.9-20
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• 2016

Purpose: The purpose of this study was to survey the current status of mental health education and need for mental health education enhancing protective factors in the elementary schools. Methods: We surveyed 10 school health teachers and 328 fifth- and sixth-grade students using 19- and 20-item questionnaires, respectively. Results: All of the teachers and 65.2% of the students replied that they were either teaching or being taught mental health in school. Topics covered suicide, depression, school violence, and Internet addiction. All of the teachers and 84.1% of the students expressed the need for mental health education enhancing protective factors in school. Both groups replied that two sessions are enough. The teachers preferred role play and discussion as teaching methods, and audiovisual materials and computer as instructional media. The students preferred lecture and role play as teaching methods, and audiovisual materials and smartphone as instructional media. Both groups ranked self-esteem, parent-child relationship, peer relationship, and emotional regulation as the most important topics to be covered in the education. Conclusion: There is a high demand for mental health education enhancing protective factors. Therefore, it is recommended to develop educational programs enhancing protective factors by enabling formal and informal learning using smartphone.

• Child Health Nursing Research
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• v.10 no.4
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• pp.496-503
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• 2004

Purpose: This descriptive correlation study was done to investigate adolescent behavior that promotes health and to identify factors influencing this behavior. Method: The participants (702) were a conveniently selected sample of second grade high school students. Data were gathered by self-administered questionnaires and the collected data were analyzed using descriptive statistics and stepwise multiple regression with the SPSS program. Results: 1) The score for health-promotion behavior was 2.49 (total possible score = 4). By subcategories, emotional support was the highest (3.02). 2) Of the factors influencing health-promotion behavior, self-efficacy was found to account for 37.5% of the variance, followed by family function, social support, perceived health status and internal health locus of control. Overall, these factors accounted for 50.6% of the variance. Conclusion: The findings of this study showed that health-promotion behavior in adolescents was slightly above average. As self-efficacy and family function were identified as major factors in predicting health-promotion behavior, there is a need to consider interventions that will improve self-efficacy and family function.

• Health Policy and Management
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• v.15 no.4
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• pp.161-175
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• 2005

Since the introduction of mandatory health insurance in In, the Korean national health insurance(KNHI) has grown rapidly. In 2004, about $96.9\%$ of the total population are covered by the KNHI and the remaining $3.1\%$ by the Medical Aid program. Despite national health insurance system in Korea, private health insurance market has grown rapidly. In 2004, the size of the private health insurance market was estimated at 6,568 billion won. The purpose of this study Is to identify the factors that determine the purchasing decisions of supplementary private health insurance under mandatory national health insurance system in Korea. The data from n04 Busan Health Survey were analysed for the Purpose. The variables in this study are demographic factors, health status and health behavioral factors, health care systemic factors, and socioeconomic factors. For statistical analyse, we used logistic regression. The Findings show that female, economically active age group(especially 35-49 years), persons with better health status or experience of health screening test are more likely to purchase private health insurance. And higher household income and expenditure, higher education level are more associated with the increased probabilities of private health insurance purchases. This results imply that the expanding of private health insurance market could widen the gap between the have and have-not in terms of equal health care accessibility.

• Korea Journal of Hospital Management
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• v.10 no.2
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• pp.26-44
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• 2005

The purpose of this study was to investigate these major factors on patient satisfaction, and to examine the affecting level of major factors in. The subjects in this study was 70 hospitals that were surveyed the hospital evaluation program containing the survey of patient satisfaction by KHIDI(Korea Health Industry Development Institute) from 1997 to 1999. The collected data was analysed SPSS for Windows(Ver 10.0). On basically, frequency analysis, t-test, and ANOVA was performed and, for more analysis, correlation analysis, factor analysis, multiple regression analysis, logistic regression analysis was utilized. According to this study, the major factors of inpatient satisfaction are divided 3 types facility factor, manpower factor, and service factor. And the major factors of outpatient satisfaction are analyzed 5 types; facility factor related direct medical service, facility factor related indirect medical services, manpower factor, pharmacy factor, and facility factor related utilization convenience. The importance of this study lies in the identification of major factors on hospital patient satisfaction.

• Journal of The Korean Society of Integrative Medicine
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• v.11 no.3
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• pp.35-47
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• 2023

Purpose : As the population aging deepens, the number of elderly people with arthritis is also continuously increasing. Accordingly, this study intended to identify the factors influencing the health-related quality of life (HINT-8) of the elderly with arthritis according to household type and provide baseline data for developing a measure to enhance the life quality of the elderly with arthritis. Methods : The factors influencing the health-related quality of life (HINT-8) of the elderly with arthritis were identified based on the raw data from the Korea national health and nutrition examination survey conducted in 2021. Data were analyzed with SPSS Statistics ver 25.0 for windows (IBM Corp), and the significance level (α) was set to .05. Statistical analysis was performed with t-test, ANOVA, multiple regression analysis, and post-hoc analysis with Duncan test. Results : The factors that influenced the health-related quality of life (HINT-8) of single-households were medical aid (β=-.17, p=.045), restriction of activity (β=-.17, p=.023), self-rated health status (β=.29, p<.001), and anxiety scale (β=-.36, p<.001). The factors that influenced the health-related quality of life (HINT-8) of multi-households were an age of 75 or over (β=-.14, p=.011), living in rural (β=-.14, p=.003), the outpatient department treatment experience (β=-.09, p=.047), self-rated health status (β=.26, p<.001), anxiety scale (β=-.29, p<.001), and stress (β=-.22, p<.001). Conclusion : Factors affecting the health-related quality of life (HINT-8) of the elderly with arthritis were found to be different between single-person households and multi-person household. Therefore, it is necessary to prepare measures to improve the quality of life of the elderly with arthritis by considering the factors influencing the health-related quality of life (HINT-8) of the elderly with arthritis according to the household type identified in this study.

• The Journal of Korean Society for School & Community Health Education
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• v.18 no.1
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• pp.1-12
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• 2017

Objectives: This study aimed to analyze sexual experience rates according to socio-demographic factors, health behavioral factors, and internet use time, and to identify sex experience related factors in high school students using the data from the 11th Korean Youth Health Risk Behavior Web-Based Survey. Methods: A total of 33,744 students (17,346 boys and 16,398 girls) in high schools were analyzed using the SPSS WIN version 22 program. SPSS complex samples methods were used for analyses. Socio-demographic factors, health behavioral factors, and internet use time as independents variables were included. The complex samples logistic regression analyses were used to calculate the odds ratio of the sexual experience according to the socio-demographic factors, health behavioral factors and internet use time. Unweighted frequencies and percentages were represented in result tables. Results: 3.6% of girls and 9.9% of boys in high school had sexual experiences. Daily average smoking amount and daily alcohol drinking amount were a dose-response relationship with sexual experience after considering confounding factors. Students who smoke 10-19 cigarettes had 5.74 times higher risk and 20 cigarettes or more had 7.27 times higher risk of sexual experiences, comparing with non-smoking students, relatively. Likewise, students who drink soju less than 1-2 bottles and more than 2 bottles had 3.82- and 4.35 times higher chance of sexual experiences, compared with non drinking students, respectively. Conclusions: We found that there were the dose-response relationship between health behavioral characteristics and sexual experiences. Further research is needed to identify an interaction effect between smoking and drinking alcohol on sexual experiences in high school students.

• Safety and Health at Work
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• v.13 no.2
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• pp.170-179
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• 2022

Background: The vulnerability of international migrant workers is on the rise, affecting the frequency of occupational accidents at workplaces worldwide. If migrant workers are managed in the same way as native workers, the consequences on safety assurance and risk management will be significant. This study aimed to develop the vulnerability factor model for migrant workers in seafood processing industries because of significant risk-laden labor of Thailand, which could be a solution to control the risk effectively. Methods: A total of 569 migrant workers were surveyed (432 Burmese and 137 Cambodian), beginning with 40 initial vulnerability factors identified in the questionnaire established from experts. The data were analyzed through descriptive analysis; exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to ascertain the model. Results: The result of content validity >0.67 and the Cronbach's alpha of 0.957 specified the high reliability of 40 factors. The EFA indicated a total variance of 65.49%. The final CFA validated the model and had an empirical fitting; chi-square = 85.34, Adjust Goodness-of-Fit Index = 0.96, and root mean square error of approximation = 0.016. The structure concluded with three dimensions and 18 factors. Dimension 1 of the structure, "multicultural safety operation," contained 12 factors; Dimension 2, "wellbeing," contained four factors; and Dimension 3, "communication technology," contained two factors. Conclusion: The vulnerability factor structure developed in this study included three dimensions and 18 factors that were significantly empirical. The knowledge enhanced safety management in the context of vulnerability factor structure for migrant workers at the workplace.

• Safety and Health at Work
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• v.14 no.3
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• pp.279-286
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• 2023

Background: This study aimed to evaluate the association between exposure to occupational hazards and the metabolic syndrome. A secondary objective was to analyze the additive and multiplicative effects of exposure to risk factors. Methods: This retrospective cohort was based on 31,615 health examinees at the Pusan National University Yangsan Hospital in Republic of Korea from 2012-2021. Demographic and behavior-related risk factors were treated as confounding factors, whereas three physical factors, 19 organic solvents and aerosols, and 13 metals and dust were considered occupational risk factors. Time-dependent Cox regression analysis was used to calculate hazard ratios. Results: The risk of metabolic syndrome was significantly higher in night shift workers (hazard ratio = 1.45: 95% confidence interval = 1.36-1.54) and workers who were exposed to noise (1.15:1.07-1.24). Exposure to some other risk factors was also significantly associated with a higher risk of metabolic syndrome. They were dimethylformamide, acetonitrile, trichloroethylene, xylene, styrene, toluene, dichloromethane, copper, antimony, lead, copper, iron, welding fume, and manganese. Among the 28 significant pairs, 19 exhibited both positive additive and multiplicative effects. Conclusions: Exposure to single or combined occupational risk factors may increase the risk of developing metabolic syndrome. Working conditions should be monitored and improved to reduce exposure to occupational hazards and prevent the development of the metabolic syndrome.

• Journal of muscle and joint health
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• v.30 no.3
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• pp.242-253
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• 2023

Purpose: The purpose of this study was to identify factors associated with physical activity in older adults living alone. Methods: This is cross-sectional, correlational study used secondary data from the 2019 Community Health Survey. The participants were 19,134 older adults aged 65 years or older and living alone. Data were analyzed using descriptive statistics, the 𝜒² test, and linear regression with the SPSS/WIN 27.0 program. Results: The participants' average amount of physical activity was 1,359.32 MET-min/week; 50.7% were inactive, 38.6% were minimally active, and 10.7% were health-promoting active. Demographic factors that predicted physical activity were gender, age, education level and monthly income, whereas health behavior factors included subjective health status and high risk drinking (R²=.055, p<.001). Psychological factors were sleeping time, stress, depression and fear of falling, and social factors included social contact with neighbors or friends, and participation in social or leisure activites(R²=.070, p<.001). Conclusion: It is important to determine the level of physical activity in older adults living alone. Demographic characteristics, health behaviors, psychological factors, and social factors should be considered in the development of specific and integrated nursing interventions to increase physical activity in older adults.