• 제목/요약/키워드: health analysis

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초·중등학교 보건교사의 직무분석 -DACUM 기법을 이용한- (Job Analysis of School Health Teachers in Korea -based on DACUM Job Analysis-)

  • 임미영;이소영
    • 한국보건간호학회지
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    • 제28권3호
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    • pp.619-632
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    • 2014
  • Purpose: This study was conducted in order to analyze the job of school health teacher in Korea. Methods: School health teachers' roles were analyzed by DACUM job analysis. Guide of DACUM methods and workshop were directed by a DACUM job analyst. The DACUM committee identified tasks associated with each duty and completed the DACUM chart. Results: Through DACUM job analysis, the roles of school health teachers were defined; one who manages health of students and staff, and conducts health education; 11 duties and 95 tasks were identified. The committee listed required knowledge and skills, working attitude, and future trends. Emergency and common disease care were the best critical duties, followed by health education, counseling, and self-development. Conclusion: School health teacher plays the roles of nurse and health care manager, and teacher. According to the expansion of health care needs and health education, school health teachers are placed in more essential and critical areas. Their duties and tasks are various and have changed significantly, thus the School Health Act should be changed practically. The results of this study can be used in development of training programs or evaluation of the job performance of school health teachers.

네트워크분석을 통한 직업건강간호학회지 논문의 지식구조 분석 (Knowledge Structure of the Korean Journal of Occupational Health Nursing through Network Analysis)

  • 권선영;박은정
    • 한국직업건강간호학회지
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    • 제24권2호
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    • pp.76-85
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    • 2015
  • Purpose: The purpose of this study was to identify knowledge structure of the Korean Journal of Occupational Health Nursing from 1991 to 2014. Methods: 400 articles between 1991 and 2014 were collected. 1,369 keywords as noun phrases were extracted from articles and standardized for analysis. Co-occurrence matrix was generated via a cosine similarity measure, then the network was analyzed and visualized using PFNet. Also NodeXL was applied to visualize intellectual interchanges among keywords. Results: According to the results of the content analysis and the cluster analysis of author keywords from the Korean Journal of Occupational Health Nursing articles, 7 most important research topics of the journal were 'Workers & Work-related Health Problem', 'Recognition & Preventive Health Behaviors', 'Health Promotion & Quality of Life', 'Occupational Health Nursing & Management', 'Clinical Nursing Environment', 'Caregivers and Social Support', and 'Job Satisfaction, Stress & Performance'. Newly emerging topics for 4-year period units were observed as research trends. Conclusion: Through this study, the knowledge structure of the Korean Journal of Occupational Health Nursing was identified. The network analysis of this study will be useful for identifying the knowledge structure as well as finding general view and current research trends. Furthermore, The results of this study could be utilized to seek the research direction in the Korean Journal of Occupational Health Nursing.

대학생의 건강지각이 건강신념 및 건강증진행위에 미치는 영향 (The Influence of University Students' Health Perception on Health Beliefs and Health Promotion Behavior)

  • 이종복;김도진
    • 산업융합연구
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    • 제19권1호
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    • pp.129-135
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    • 2021
  • 본 연구는 대학생의 건강지각, 건강신념, 건강증진행위의 관계를 살펴보고자 경기도 소재 대학의 대학생 309명을 대상으로 실시하였다. 조사된 설문은 문항분석과 요인분석 및 신뢰도분석을 실시하였으며, 변인 간 관계 파악을 위해 상관 분석과 경로분석을 실시하였다. 이를 통해 다음과 같은 결론을 얻을 수 있었다. 대학생의 건강지각, 건강신념, 건강증진행위간의 인과효과를 위한 경로분석은 다양한 적합도 지수에서 비교적 높게 나타났으며, 모형에 포함된 모든 경로계수는 통계적으로 유의미하게 나타났다. 구체적으로 모든 경로계수에서 유의미한 정적 관계를 나타냈으나, 건강지각과 지각된 장애, 지각된 장애와 건강증진행위에서는 부적 관계를 나타냈다. 본 연구의 결과를 바탕으로 향후 연구에서는 본 연구에서 제외된 변인에 대한 분석을 통해 건강증진행위와 관련한 외현적 타당성을 높일 필요가 있다.

건강의 유형별 연관성 평가: 네트워크 분석을 중심으로 (Study of Association between the Types of Health on the Basis of Network Analysis)

  • 조호수;류민호
    • 한국정보시스템학회지:정보시스템연구
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    • 제32권3호
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    • pp.41-61
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    • 2023
  • Purpose This study aims to categorize the types of health, analyze the effects among health types based on network analysis find the most important type of health, and explain whether the results between health types vary depending on demographic characteristics. Design/methodology/approach This study investigated individual physical, clinical, mental, and social health(social capital and social support) levels through a survey of 100 people. Network analysis was applied to the survey data to confirm the degree centrality of nodes. Furthemore, we investigated the differences in core nodes according to gender and age groups. Findings According to the analysis result, social support was the most important health type in the entire group. Furthermore, the importance of health type was different depending on the characteristics of the groups. In the case of men, clinical health was the most important health type, and social support was analyzed to be the most important for women. In the case of young people, clinical health was the most important health type, and mental health was the most important health type in the middle-aged.

Latent Mean Analysis of Health Behavior between Adolescents with a Health Problem and Those without: Using the 2009 Korean Youth Health Behavior Survey

  • Park, Jeong-Mo;Kim, Mi-Won;Cho, Yoon Hee
    • 지역사회간호학회지
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    • 제24권4호
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    • pp.488-497
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    • 2013
  • Purpose: The purpose of this study was to identify the construct equivalence of the general five factors of health behavior and to compare the latent means between adolescents with a health problem and those without in Korea. Methods: The 2009 KYRBS (Korean Youth Risk Behavior Survey) data were used for the analysis. Multi-group confirmatory factor analysis was performed to test whether the scale had configural, metric, and scalar invariances across the existence of health problems in adolescents. Results: Configural, metric, and factor invariances were satisfied for the latent mean analysis (LMA) between adolescents with health problem and those without. Adolescents with health problem and those without were not different in the LMA of all factors. Conclusion: Health providers should give more interest to the group of adolescents with health problems and consider prudential school life to the same group.

Influencing Factors of High PTSD Among Medical Staff During COVID-19: Evidences From Both Meta-analysis and Subgroup Analysis

  • Qi, Guojia;Yuan, Ping;Qi, Miao;Hu, Xiuli;Shi, Shangpeng;Shi, Xiuquan
    • Safety and Health at Work
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    • 제13권3호
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    • pp.269-278
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    • 2022
  • Background: PTSD (Post-traumatic stress disorder, PTSD) had a great impact on health care workers during the COVID-19 (Corona Virus Disease 2019, COVID-19). Better knowledge of the prevalence of PTSD and its risk factors is a major public health problem. This study was conducted to assess the prevalence and important risk factors of PTSD among medical staff during the COVID-19. Methods: The databases were searched for studies published during the COVID-19, and a PRISMA (preferred reporting items for systematic review and meta-analysis) compliant systematic review (PROSPERO-CRD 42021278970) was carried out to identify articles from multiple databases reporting the prevalence of PTSD outcomes among medical staff. Proportion random effect analysis, I2 statistic, quality assessment, subgroup analysis, and sensitivity analysis were carried out. Results: A total of 28 cross-sectional studies and the PTSD results of doctors and nurses were summarized from 14 and 27 studies: the prevalences were 31% (95% CI [confidence interval, CI]: 21%-40%) and 38% (95% CI: 30%-45%) in doctors and nurses, respectively. The results also showed seven risks (p < 0.05): long working hours, isolation wards, COVID-19 symptoms, nurses, women, fear of infection, and pre-existing mental illness. Two factors were of borderline significance: higher professional titles and married. Conclusion: Health care workers have a higher prevalence of PTSD during COVID-19. Health departments should provide targeted preventive measures for medical staff away from PTSD.

Research trends in the Korean Journal of Women Health Nursing from 2011 to 2021: a quantitative content analysis

  • Ju-Hee Nho;Sookkyoung Park
    • 여성건강간호학회지
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    • 제29권2호
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    • pp.128-136
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    • 2023
  • Purpose: Topic modeling is a text mining technique that extracts concepts from textual data and uncovers semantic structures and potential knowledge frameworks within context. This study aimed to identify major keywords and network structures for each major topic to discern research trends in women's health nursing published in the Korean Journal of Women Health Nursing (KJWHN) using text network analysis and topic modeling. Methods: The study targeted papers with English abstracts among 373 articles published in KJWHN from January 2011 to December 2021. Text network analysis and topic modeling were employed, and the analysis consisted of five steps: (1) data collection, (2) word extraction and refinement, (3) extraction of keywords and creation of networks, (4) network centrality analysis and key topic selection, and (5) topic modeling. Results: Six major keywords, each corresponding to a topic, were extracted through topic modeling analysis: "gynecologic neoplasms," "menopausal health," "health behavior," "infertility," "women's health in transition," and "nursing education for women." Conclusion: The latent topics from the target studies primarily focused on the health of women across all age groups. Research related to women's health is evolving with changing times and warrants further progress in the future. Future research on women's health nursing should explore various topics that reflect changes in social trends, and research methods should be diversified accordingly.

GIS를 이용한 정신의료기관의 공간적 접근성 분석 - 강원도지역을 대상으로 (Analysis on the Spatial Accessibility of Mental Health Institutions Using GIS in Gangwon-Do)

  • 박주현;박영용;이광수
    • 한국병원경영학회지
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    • 제23권2호
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    • pp.28-41
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    • 2018
  • Purpose: This study purposed to analyze the spatial accessibility of mental health institutions in Ganwon-Do using Geographic Information System and to suggest policy implications. Methodology: Network analysis was applied to assess the spatial accessibility of mental health institutions in Gangwon-Do. To perform the network analysis, network data set was built using administrative district map, road network, address of mental health institutions in Gangwon-Do. After building network data set, Two network analysis methods, 1) Service area analysis, 2) Origin Destination cost matrix were applied. Service area analysis calculated accessive areas that were within specified time. And using Origin Destination cost matrix, travel time and road travel distance were calculated between centroids of Eup, Myeon, Dong and the nearest mental health institutions. Result: After the service area analysis, it is estimated that 19.63% of the total areas in Gangwon-Do takes more than 60 minutes to get to clinic institutions. For hospital institutions, 23.08% of the total areas takes more than 60 minutes to get there. And 59.96% of Gangwon-do takes more than 30 minutes to get to general hospitals. The result of Origin-Destination cost matrix showed that most Eup Myeon Dong in Gangwon-Do was connected to the institutions in Wonju-si, Chuncheon-si, Gangneung-si. And it showed that there were large regional variation in time and distance to reach the institutions. Implication: Results showed that there were regional variations of spatial accessibility to the mental health institutions in Gangwon-Do. To solve this problem, Several policy interventions could be applied such as mental health resources allocation plan, telemedicine, providing more closely coordinated services between mental health institutions and community mental health centers to enhance the accessibility.

Civic Participation and Self-rated Health: A Cross-national Multi-level Analysis Using the World Value Survey

  • Kim, Saerom;Kim, Chang-Yup;You, Myung Soon
    • Journal of Preventive Medicine and Public Health
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    • 제48권1호
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    • pp.18-27
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    • 2015
  • Objectives: Civic participation, that which directly influences important decisions in our personal lives, is considered necessary for developing a society. We hypothesized that civic participation might be related to self-rated health status. Methods: We constructed a multi-level analysis using data from the World Value Survey (44 countries, n=50 859). Results: People who participated in voting and voluntary social activities tended to report better subjective health than those who did not vote or participate in social activities, after controlling for socio-demographic factors at the individual level. A negative association with unconventional political activity and subjective health was found, but this effect disappeared in a subset analysis of only the 18 Organization for Economic Cooperation and Development (OECD) countries. Moreover, social participation and unconventional political participation had a statistically significant contextual association with subjective health status, but this relationship was not consistent throughout the analysis. In the analysis of the 44 countries, social participation was of borderline significance, while in the subset analysis of the OECD countries unconventional political participation was a stronger contextual determinant of subjective health. The democratic index was a significant factor in determining self-rated health in both analyses, while public health expenditure was a significant factor in analysis of 18 countries. Conclusions: Our investigation suggests that civic participation, including unconventional political activity at the contextual level, might be a significant determinant of health status of a country.