• The Journal of Korean Society for School & Community Health Education
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• v.12 no.1
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• pp.117-129
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• 2011

Objectives: The purpose of this study was to introduce of the Urbani School Health Kit (USHK) and to investigate the adaptability to Korean situation. Methods: The authors analyzed the contents of USHK developed by the health promotion team at the Western Pacific Regional Office of World Health Organization (WHO WPRO) in collaboration with health promotion experts at University of the Philippine Open University, and by observing health classes using the USHK in Angono elementary school in Manila, Philippines. Results: The following are the characteristics of USHK: 1) The USHK was composed of a teacher's guide and six books targeted to two groups of children: ages 5~6 years and 10~12, and an integrated package containing materials that can be used to support health education and health promotion activities in elementary schools. 2) The USHK could be integrated in the curriculum to reduce the burden of teacher's class preparation time and help teachers conveying clear and accurate health messages in their classes. 3) Several evaluation tools such as pre-test post-test quizzes, self-evaluation tools, observer checklists, and evaluation interview protocols were developed to monitor and evaluate whether USHK was useful, helpful, and appropriate. Conclusions: We found that USHK was a practical tool for supporting health promotion in elementary schools and could be applicable to health promoting schools in Korea if it were modified to address Korean school health problems.

• The Journal of Korean Society for School & Community Health Education
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• v.19 no.2
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• pp.77-86
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• 2018

Objectives: This study aimed identify of the level and effect of the e-health literacy and health behavior in health science majors Methods: The data was collected from March 5 to March 15, 2018 for student majoring in health science at a university in the C city. The data were analyzed with the SPSS 21.0. Results: First, the e-health literacy were statistically significant in grades (F=5.769, p=0.001), health interest (F=10.553, p<0.001) and health care time (F=3.841, p=0.023), and health behavior were statistically significant in subjective health condition (F=5.476, p=0.05), health interest (F=16.716, p<0.001), and health care time (F=28.479, p<0.001). Second, the e-health literacy were correlated with grades, health care time, economic level and health interest, and health behavior were related to health care time, e-health literacy, subjective health condition and health interest. Third, health behavior related factors were health care time, e-health literacy, grades, subjective health condition, and health interest. Conclusion: The related knowledge and skills should be applied to basic classes in order to ensure that health science majors care can accurately utilize the information on the e-health.

• Korean Journal of Health Education and Promotion
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• v.32 no.3
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• pp.73-83
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• 2015

Objectives: The purpose of this study was to identify the effects of sleep quality and occupational stress on health-related quality of life among a university's security workers. Methods: 128 security workers voluntarily participated in the study. The survey asked demographic, health related, job related factors, the Korean Occupational Stress Scale Short Form(KOSS-SF), sleep quality questionnaire, and 12-Short Form Health Survey version 2.0(SF-12v2). The data were analyzed by using descriptive analysis, t-test, ANOVA, multiple linear regression, and multiple logistic regression. Results: The interrupted rest time was significantly negatively related to occupational stress. The occupational stress significantly affected sleep quality. The significant variable affecting Physical Component Score(PCS) and Mental Component Score(MCS) was sleep quality and occupational stress, respectively. Conclusions: HRQOL was founded to be affected by occupational stress and sleep disorder among the security workers. Based on this study, we suggest that the management of both occupational stress and sleep quality is crucial to improve the HRQOL.

• Journal of Society of Preventive Korean Medicine
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• v.6 no.2
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• pp.19-35
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• 2002

To know the differences between health concern, health behavior, and subjective health cognition in urban and rural area, author used the correlation analysis between variables and wanted to provide basic data for public health service to support appropriate health care, health maintenance, and health promotion in community. Data collection were done in JeonBuk area from September 10 to October 10, 2001, and subjects were above 20 years old adult. 350 and 250 subjects were from urban and rural area by random sampling, respectively. Questionnaire were completed by interview with direct or self-recording type. Research tool was questionnaire with health concern, health behavior, and subjective health cognition, and data collected were analyzed into descriptives, crosstabs, T-test, ANOVA, Pearson correlation coefficient by SPSS 10.0 program. The results were as follows: 1. Health concern was 9.0% for upper group, 39.1% for middle group, 51.9% for lower group in urban area, and 10.1% for upper group, 41.0% for middle group, 48.8% for lower group in rural area. Health concern for middle and lower group was totally high percentage, and rural area had higher health concern than urban area. 2. Health behavior in both urban and rural area was statistically significant(p<0.01). Women who had higher age and with spouse had high degree of health behavior, and urban area had totally high score for health behavior compared to rural area. 3. Subjective health cognition was 71.0% for health, 29.0% for non-health in urban area, and 61.3% for health, 38.7% for non-health in rural area. Percentage of health group was higher in urban area than in rural area. 4. Degree of health behavior by health concern was statistically significant only in rural area. That is to say, the higher health concern had the higher degree of health behavior in rural area. Subjective health cognition by health behavior was totally significant correlation with health behavior in urban and rural area(p〈0.05). That is to say, the higher health behavior in urban and rural area had the higher subjective health cognition. 5. For correlations between 3 variables, there was significant correlation between health behavior and subjective health cognition in urban area (p<0.01). There were correlations between health concern and health behavior, health behavior and subjective health cognition(p<0.05). Considering above results, the higher health behavior had the higher subjective health cognition in urban area. The higher health concern had the higher behavior, and the higher health behavior had the higher subjective health cognition in rural area.

• The Journal of Korean Academic Society of Nursing Education
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• v.16 no.2
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• pp.283-291
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• 2010

Purpose: This study aims to assess university freshmen's concern of and satisfaction with their health and body and to analyze this in relation to their health habits, thereby aiding university students in forming sound health habits. Method: The subjects of this study were 338 freshmen at A University, located in B City. The questionnaire had 34 questions and the collected data was analyzed with t-test, $x^2$-test, and multiple regressions. Result: The average points of the subjects' health habits were 6.01 for male and 5.65 for female, showing a median range. Concern about health (male 13.63 points, female 13.10 points) and satisfaction with their own body (male 8.26 points, female 7.71 points) showed no significant difference between males and females. Females had more concern about their body (p=.001), and males' satisfaction with health was higher than females', which was statistically significant (p=.0.41). As for factors that have an effect on health habits, male students had health concerns ($\beta$=.395), health satisfaction ($\beta$=.212), and body concerns ($\beta$=-.209), and female students had health concerns ($\beta$=.317) and health satisfaction ($\beta$=.139). Conclusion: University freshmen are likely to have diverse undesirable health habits and therefore need positive improvement in their health habits.

• Proceedings of the Korean Society of Toxicology Conference
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• 2005.05a
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• pp.184-184
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• 2005

• Journal of Preventive Medicine and Public Health
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• v.33 no.4
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• pp.415-425
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• 2000

Objectives : To determine which factors are related to young adults perception of their health. Two research questions were asked. Which aspects of health does self-perceived health as a index of general health reflect? Why do two individuals with the same level of general health have different health perceptions? Methods : The sampling frame comprised college or graduate school students, aged 20 to 29, who were members of A, one of the 4 biggest internet communication services. The questionnaires were sent to study samples(n=1,000) and answered by E-mail. Response rate was 37.0%. Results : Firstly, physical health ranked highest and self-perceived health ranked lowest. Secondly, health, anxiety, depression, and self-perceived health showed significant differences between the sexes, with women showing a higher health status in these categories except for self-perceived health. Thirdly, the two factors significantly related to self-perceived health were physical health and self-esteem, as determined by multivariate analysis, Conclusions : The factors significantly related to self-perceived health were physical health and self-esteem. Further studies of the health characteristics of young adults are needed.

• Safety and Health at Work
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• v.14 no.4
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• pp.445-450
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• 2023

Background: The impact of COVID-19 infection on workers' work function persists even after the acute phase of the infection. We studied this phenomenon in Japanese workers. Methods: We conducted a one-year prospective cohort study online, starting with a baseline survey in December 2020. We tracked workers without baseline work functioning impairment and incorporated data from 14,421 eligible individuals into the analysis. We estimated the incidence rate ratio for new onset of work functioning impairment due to COVID-19 infection during follow-up, using mixed-effects Poisson regression analysis with robust variance. Results: Participants reporting infection between January and December 2021 showed a significantly higher incidence of new work functioning impairment (adjusted incidence rate ratio: 2.18, 95% confidence interval: 1.75-2.71, p < 0.001). The formality of the recuperation environment correlated with a higher risk of work functioning deterioration in infected individuals (p for trend <0.001). Conclusion: COVID-19-infected workers may continue to experience work difficulties due to persistent, post-acute infection symptoms. Companies and society must urgently provide rehabilitation and social support for people with persistent symptoms, recognizing that COVID-19 is not just a transient acute infection.

• Proceedings of The Korean Society of Health Promotion Conference
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• 2007.11a
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• pp.66-67
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• 2007

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• Journal of Environmental Health Sciences
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• v.45 no.5
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• pp.557-557
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• 2019