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Psychosocial risk factors associate with Internet addiction in Korea
DC Field | Value | Language |
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dc.contributor.advisor | 신, 윤미 | - |
dc.contributor.author | 이, 주영 | - |
dc.date.accessioned | 2015-10-29T04:04:08Z | - |
dc.date.available | 2015-10-29T04:04:08Z | - |
dc.date.issued | 2015 | - |
dc.identifier.uri | http://repository.ajou.ac.kr/handle/201003/11852 | - |
dc.description.abstract | Objectives: The aim of this study was to examine the prevalence of Internet addiction in middle school students and to identify associated psychosocial risk factors and depression. .
Methods: This study was part of a larger epidemiological study on childhood psychiatric disorders conducted in Osan, a city of Republic of Korea. We used IAS for internet addiction, K-YSR for subjects’ emotional and behavioral problems and K-CDI for depressive symptoms. We used the data of N=1217 completed cases. We put on independent variables, which are sex, age, smoking and alcohol experiences, economic status, age of first Internet use, K-YSR and K-CDI score. Results: The subjects consisted of addicted users (2.38%), over users (36.89%) and normal Internet users (60.72%). Attention problems, sex, delinquent problems, K-CDI scores, thought problems, age and aggressive behavior were predictable variables of internet addiction. Age of initial Internet use negatively predicted Internet addiction. Conclusion: This result showed similar to other researches about sociodemographic, emotional or behavioral factors related to internet addiction. Generally, subjects with more severe internet addiction had more emotional or behavioral problems. It means that they already have had various difficulties when we found internet addiction of adolescents. Therefore it is necessary to evaluate whether the subjects have any emotional or behavioral troubles and to intervene to prevent internet addiction. | - |
dc.description.tableofcontents | ABSTARCT i
TABLE OF CONTENTS iii LIST OF TABLES vi I. INTRODUCTION 1 II. METHODS 4 A. SUBJECTS 4 B. MEASUREMENTS 5 1. Sociodemographic data 5 2. Internet Addiction Scale, IAS 5 3. Korean-Youth Self Report, K-YSR 5 4. Korean Children's Depression Inventory, K-CDI 6 5. Statistical Anlysis 6 III. RESULTS 8 IV. DISCUSSION 15 V. CONCLUSION 19 REFERENCES 20 국문요약 26 | - |
dc.language.iso | en | - |
dc.title | Psychosocial risk factors associate with Internet addiction in Korea | - |
dc.title.alternative | 한국 한 개 도시의 청소년 집단에서 인터넷 중독과 관련된 심리 사회적 위험 요인들 | - |
dc.type | Thesis | - |
dc.identifier.url | http://dcoll.ajou.ac.kr:9080/dcollection/jsp/common/DcLoOrgPer.jsp?sItemId=000000019300 | - |
dc.subject.keyword | Internet addiction | - |
dc.subject.keyword | adolescent | - |
dc.subject.keyword | K-YSR | - |
dc.subject.keyword | K-CDI | - |
dc.subject.keyword | age of initial internet use | - |
dc.subject.keyword | 인터넷 중독 | - |
dc.subject.keyword | 청소년 | - |
dc.subject.keyword | 인터넷 시작 나이 | - |
dc.description.degree | Master | - |
dc.contributor.department | 대학원 의학과 | - |
dc.contributor.affiliatedAuthor | 이, 주영 | - |
dc.date.awarded | 2015 | - |
dc.type.local | Theses | - |
dc.citation.date | 2015 | - |
dc.embargo.liftdate | 9999-12-31 | - |
dc.embargo.terms | 9999-12-31 | - |
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