學童網路成癮與睡眠品質、學習注意力及執行功能之相關性

The Relationship of Internet Addiction with Sleep Quality, Learning Attention, and Executive Function in Children

10.6540/NTJN.202209_24(2).0002

林依宣(Yi-Hsuan Lin)；陳昱廷(Yu-Ting Chen)；林步鴻(Pu-Hung Lin)；鍾錦鈿(Chin-Tien Chung)；李昕緯(Hsin-Wei Lee)；江亭穎(Ting-Ying Chiang)；邊立中(Li-Chung Pien)；陳淑如(Su-Ru Chen)

兒童 ； 網路成癮 ； 睡眠品質 ； 學習注意力 ； 執行功能 ； children ； executive function ； internet addiction ； learning attention ； sleep quality

新臺北護理期刊

24卷2期（2022 / 09 / 01）

9 - 21

繁體中文

資訊科技日新月異，網路成癮現象也隨之低齡化與嚴重化，本研究旨在探討學童網路成癮與睡眠品質、學習注意力童及執行功能之相關性。採橫斷式研究設計，以立意取樣，針對北市某三所國民小學之學童為研究對象。研究工具包含網路成癮量表、學習注意力量表、睡眠品質量表及叫色測驗。資料統計以卡方檢定、獨立t檢定及逐步回歸等進行。結果顯示，共123位學童參與研究，年齡11.34±0.78歲，平均網路成癮得分49.07±16.4分，41.5%（n=51）學童有網路成癮，網路成癮學童其夜間失眠狀態（t = -2.117, p =0.036）、學習注意力（t = 2.76,p ＜ 0.01）及執行功能顯著低於無網路成癮之學童，而兒童網路使用時間、學習注意力、睡眠品質及叫色測驗的字色不一致反應時間可能對兒童網路成癮有顯著的影響。本研究提供學校及家長更了解學齡期兒童網路成癮情形及與睡眠品質、學習注意力、執行功能之相關性，可作為未來相關性介入措施之參考。

With the rapid development of information technology, Internet addiction has become younger and more serious. This study aims to explore the relationship of Internet addiction with sleep quality, learning attention, and executive function in children. This is a cross-sectional research design using convenience sampling from three elementary schools in Taipei, Taiwan. Instruments include Internet Addiction Scale, Learning Attention Scale, Sleep Quality Scale, and Stroop test. Data statistics were performed by chi-square test, independent t test, and regression analysis. The results showed that a total of 123 school age children participated in the study, aged 11.34±0.78 years old, with an average Internet addiction score of 49.07±16.4 points. 41.5% (n=51) of participants had Internet addiction, and those with Internet addiction had nighttime Insomnia (t = -2.117, p = 0.036), learning concentration (t = 2.76, p ＜0.01) and executive function significantly lower than those of school children without Internet addiction. Time spent on Internet, learning attention, sleep quality, and Stroop test in incongruent reaction time might be the main predictors of the Internet addiction in children. This study provides schools and parents with a better understanding of school-age children's Internet addiction and its correlation with sleep quality, learning concentration, and executive function, which can be used as a reference for future related intervention measures.

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