網路成癮為台灣青少年身心健康之重要問題,有效防治網路成癮已成為台灣目前青少年教育之重要目標。但有效之防治需建立於對網路成癮危險因子之了解,然過去之研究除研究工具之限制、診斷標準之實證性等問題外,大多數均為橫切面之研究,難以提供危險因子之實證資料。本研究以前瞻性研究之方式進行,採用自填問卷,在為期一年的追蹤期間,對國一國二之學生進行調查。第一年之調查包含基本資料、網路成癮量表、三向度人格特質問卷、簡短身心症狀量表、青少年壓力量表、家庭關懷指數、學生生活滿意度量表、自尊量表、家庭因子及網路行為特徵。第二年之調查包含網路成癮量表、家庭關懷指數、學生生活滿意度量表、自尊量表、及注意力不足及過動自填量表。研究結果顯示,網路成癮之年發生率為7.5%,網路成癮發生之相關因子包含:高新奇追求、低酬償依賴、低家庭關懷、低自尊、高敵意、兄弟姊妹有上網習慣、及網路遊戲之使用。同時網路成癮持續之相關因子包含:高人際敏感、高敵意、及母親未同住。網路成癮發生之危險因子可作為預防處遇之參考,網路成癮持續之危險因子則可提供治療之參考,研究結果可做為建立預防及治療計畫之依據。
Internet Addiction is a critical issue for mental health for adolescents in Taiwan. In order to prevent the adolescents from harm of internet addiction, preventive program developed according the risk factors of it was very important. Unfortunately, mountains studies focus on the risk factors of internet addiction lack assessment tool and diagnostic tool based on empirical data. Besides, most studies are cross-section study. It is difficult to clarify the causal or temporal relationship of these factors. In present study, by prospective study designed, we develop two cross section investigations for genius high school students in one year. In the first investigation, we assess the severity of internet addiction, the self esteem, the mental health, the family support, the life satisfaction, the personality, the stress level, family factor, online behavior, and demographic data. In the second investigation one year later, we investigate the severity of internet addiction, the self esteem, the family support, the life satisfaction, and the ADHD symptoms. Based on above assessment, higher sensation seeking, lower reward dependence, lower self esteem, lower family support, the sibling’s internet habit, online gamine, and higher hostility were revealed to be the associative factors for emergency of internet addiction. Besides, higher interpersonal sensation, higher hostility, and “not live with mother” were revealed to be the associative factors for maintenance of internet addiction. The result could provide to establish the guild for preventive and treatment schedule for internet addiction.
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