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    초등학생의 인터넷 중독 실태와 정신건강과의 관계 = Relationship between Internet Addiction and Mental Health in elementary schools

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    https://www.riss.kr/link?id=T11055745

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    The purpose of this study was to identify the degree of internet addiction, mental health status, and their relationships, so to provide the basic data to develop and plan programs for prevention of internet addiction.
    The research design was a descriptive correlation study and the subjects were 755 students enrolled in 4-6th grades of three elementary schools in Cheongju city, Chugbuk province. The data were collected from Nov. 1st to Nov. 30th, 2006.
    The degree of internet addiction was measured using Korean version of Internet Addiction Self-rating Scale developed by the Ministry of Information and Communication, which was based on Young's scale (1966, 1999). To measure mental health status, 54-item Questionnaire including 9-symptom subscales selected and revised by Kim, Bok-soon (1989) to be applicable to the elementary schoolers was used. This questionnaire was the revision of 'Symptom Check List-90-Revision (SCL-90-R)' to be applicable to Korean society by Kim, Gwang-il etc (1984). SCL-90-R was the psychological diagnosis inventory of Multi-Dimensional Self-Report Inventory developed by Derogatis (1977).
    The data were analyzed by frequency, percentage, mean, S.D., χ2-test, t-test, ANOVA, Scheffe test, Pearson's correlation coefficient with SPSS WIN 11.5 program.
    The results were as follows :
    1) In the characteristics of internet use of the subjects, the frequency of internet use was the highest in every day (27.2%); using time a day showed about 1-2 hours; place of the computer was the highest in living room (31.8%); and the place of using internet was the highest in home (88.9%). The purpose of internet use was the highest in game (42.9%); the merits of using internet were the highest in being a help to the study or homework (32.1%); the demerits were the highest in internet addiction (32.6%).
    2) The degree of internet addiction of the subjects showed 87.0% in general users, 10.1% in potential-risk users, and 2.9% in high-risk users.
    3) In the degree of internet addiction by demographic characteristics, there were statistically significant differences of 0.1% in gender and family atmosphere; statistically significant differences of 1% in alone time; and of 5% in grade and pocket money.
    4) In the degree of internet addiction by characteristics of subjects' internet use, there were statistically significant differences of 0.1% in using day of internet a week, using time of internet a day, and merits of internet use; statistically significant differences of 1% in the purposes of internet use; and of 5% in demerits of internet use.
    5) In the states of subjects' mental health, the highest mean score was 1.633 point in obsessive-compulsive subscale; and the lowest was 1.187 point in phobic anxiety subscale.
    6) In the degrees of mental health by general characteristics of subjects, there were statistically significant differences of 0.1% in economic status, family atmosphere, and pocket money; statistically significant differences of 1% in alone time; and of 5% in gender, grade, and family number.
    7) In the degree of mental health by characteristics of subjects' internet use, there were statistically significant differences of 0.1% in demerits of internet use; statistically significant differences of 1% in the purposes of internet use; and of 5% in merits of internet use.
    8) In the degree of mental health by the level of subjects' internet addiction, there were significant differences in all subscales of mental health (p< .001); the higher level of internet addiction was, the lower degree of mental health was. Also, there were significant positive correlation between internet addiction and mental health (p< .001).
    As above, the states of internet addiction in elementary schoolers was not severe, but alarming if potential-risk user groups were included, and the degree of mental health showed to be satisfied. However, the higher degree of internet addiction was, the lower states of mental health was. Namely, excessive use of internet had a negative effect on general mental health in elementary schoolers. Therefore, it is necessary to develope the programs for internet addiction prevention and plans for strengthening mental health.
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    The purpose of this study was to identify the degree of internet addiction, mental health status, and their relationships, so to provide the basic data to develop and plan programs for prevention of internet addiction. The research design was a descri...

    The purpose of this study was to identify the degree of internet addiction, mental health status, and their relationships, so to provide the basic data to develop and plan programs for prevention of internet addiction.
    The research design was a descriptive correlation study and the subjects were 755 students enrolled in 4-6th grades of three elementary schools in Cheongju city, Chugbuk province. The data were collected from Nov. 1st to Nov. 30th, 2006.
    The degree of internet addiction was measured using Korean version of Internet Addiction Self-rating Scale developed by the Ministry of Information and Communication, which was based on Young's scale (1966, 1999). To measure mental health status, 54-item Questionnaire including 9-symptom subscales selected and revised by Kim, Bok-soon (1989) to be applicable to the elementary schoolers was used. This questionnaire was the revision of 'Symptom Check List-90-Revision (SCL-90-R)' to be applicable to Korean society by Kim, Gwang-il etc (1984). SCL-90-R was the psychological diagnosis inventory of Multi-Dimensional Self-Report Inventory developed by Derogatis (1977).
    The data were analyzed by frequency, percentage, mean, S.D., χ2-test, t-test, ANOVA, Scheffe test, Pearson's correlation coefficient with SPSS WIN 11.5 program.
    The results were as follows :
    1) In the characteristics of internet use of the subjects, the frequency of internet use was the highest in every day (27.2%); using time a day showed about 1-2 hours; place of the computer was the highest in living room (31.8%); and the place of using internet was the highest in home (88.9%). The purpose of internet use was the highest in game (42.9%); the merits of using internet were the highest in being a help to the study or homework (32.1%); the demerits were the highest in internet addiction (32.6%).
    2) The degree of internet addiction of the subjects showed 87.0% in general users, 10.1% in potential-risk users, and 2.9% in high-risk users.
    3) In the degree of internet addiction by demographic characteristics, there were statistically significant differences of 0.1% in gender and family atmosphere; statistically significant differences of 1% in alone time; and of 5% in grade and pocket money.
    4) In the degree of internet addiction by characteristics of subjects' internet use, there were statistically significant differences of 0.1% in using day of internet a week, using time of internet a day, and merits of internet use; statistically significant differences of 1% in the purposes of internet use; and of 5% in demerits of internet use.
    5) In the states of subjects' mental health, the highest mean score was 1.633 point in obsessive-compulsive subscale; and the lowest was 1.187 point in phobic anxiety subscale.
    6) In the degrees of mental health by general characteristics of subjects, there were statistically significant differences of 0.1% in economic status, family atmosphere, and pocket money; statistically significant differences of 1% in alone time; and of 5% in gender, grade, and family number.
    7) In the degree of mental health by characteristics of subjects' internet use, there were statistically significant differences of 0.1% in demerits of internet use; statistically significant differences of 1% in the purposes of internet use; and of 5% in merits of internet use.
    8) In the degree of mental health by the level of subjects' internet addiction, there were significant differences in all subscales of mental health (p< .001); the higher level of internet addiction was, the lower degree of mental health was. Also, there were significant positive correlation between internet addiction and mental health (p< .001).
    As above, the states of internet addiction in elementary schoolers was not severe, but alarming if potential-risk user groups were included, and the degree of mental health showed to be satisfied. However, the higher degree of internet addiction was, the lower states of mental health was. Namely, excessive use of internet had a negative effect on general mental health in elementary schoolers. Therefore, it is necessary to develope the programs for internet addiction prevention and plans for strengthening mental health.

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    목차 (Table of Contents)

    • Ⅰ. 서론 1
    • 1. 연구의 필요성 1
    • 2. 연구의 목적 4
    • 3. 용어의 정의 4
    • 4. 연구의 제한점 5
    • Ⅰ. 서론 1
    • 1. 연구의 필요성 1
    • 2. 연구의 목적 4
    • 3. 용어의 정의 4
    • 4. 연구의 제한점 5
    • Ⅱ. 문헌고찰 6
    • 1. 인터넷 중독 6
    • 2. 정신건강 13
    • 3. 인터넷 중독과 정신건강 16
    • Ⅲ. 연구방법 18
    • 1. 연구설계 18
    • 2. 연구대상 18
    • 3. 연구도구 18
    • 4. 자료수집 및 분석 24
    • Ⅳ. 연구결과 26
    • 1. 대상자의 일반적 특성 26
    • 2. 대상자의 인터넷 사용 특성 28
    • 3. 대상자의 인터넷 중독 정도 30
    • 4. 대상자의 일반적 특성에 따른 인터넷 중독 정도 32
    • 5. 대상자의 인터넷 사용 특성에 따른 인터넷 중독 정도 34
    • 6. 대상자의 정신건강 정도 37
    • 7. 대상자의 일반적 특성에 따른 정신건강 정도 38
    • 8. 대상자의 인터넷 사용 특성에 따른 정신건강 정도 41
    • 9. 인터넷 중독과 정신건강과의 관계 43
    • Ⅴ. 논의 45
    • Ⅵ. 결론 및 제언 52
    • 1. 결론 52
    • 2. 제언 54
    • 참고문헌 56
    • ABSTRACT 61
    • 부록 1 - 설문지 64
    • 부록 2 - 인터넷 중독 척도의 하위 영역별 신뢰도 71
    • 부록 3 - 정신건강 척도의 하위 영역별 신뢰도 72
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