일 대학교 대학생의 인터넷에서의 건강정보추구행위 유형에 따른 건강의식 및 스마트폰 리터러시 비교
Comparison of Health Consciousness and Smart-phone Literacy According to the Type of Health Information Seeking Behavior on the Internet among One University Students
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초록
Objectives: This study aims to classify the type of health information seeking behavior on the internet by using the cluster analysis and to compare health consciousness and smart-phone literacy according to the type of health information seeking behavior on the internet among one university students. Methods: The research design for this study was a descriptive survey design using a quata sample. Data collection was done using self-report questionnaires with 373 undergraduate students located in G city. Data were analyzed using X2 test, ANOVA, scheffé test, Pearson correlation coefficients, factor analysis and cluster analysis with the SPSS WIN 22.0 Program. Results: Factor analysis showed 10 items in 3 factors. Cluster analysis revealed 3 distinct type of health information seeking behavior on the internet. Clusters were named ‘passive health information user type’, community-based health information user type’, and ‘independent health information power-user type. Clusters was founded and has differences in health information search, online community usage and productive health information activity. Conclusions: Findings of this study allow a comprehensive understanding of the health information seeking behavior on the internet and related factors among undergraduate in Korea. Further study with a larger random sample from various universities is necessary.
Abstract
Objectives: This study aims to classify the type of health information seeking behavior on the internet by using the cluster analysis and to compare health consciousness and smart-phone literacy according to the type of health information seeking behavior on the internet among one university students. Methods: The research design for this study was a descriptive survey design using a quata sample. Data collection was done using self-report questionnaires with 373 undergraduate students located in G city. Data were analyzed using X2 test, ANOVA, scheffé test, Pearson correlation coefficients, factor analysis and cluster analysis with the SPSS WIN 22.0 Program. Results: Factor analysis showed 10 items in 3 factors. Cluster analysis revealed 3 distinct type of health information seeking behavior on the internet. Clusters were named ‘passive health information user type’, community-based health information user type’, and ‘independent health information power-user type. Clusters was founded and has differences in health information search, online community usage and productive health information activity. Conclusions: Findings of this study allow a comprehensive understanding of the health information seeking behavior on the internet and related factors among undergraduate in Korea. Further study with a larger random sample from various universities is necessary.
참고문헌 (25)
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