跳到主要內容

臺灣博碩士論文加值系統

(98.80.143.34) 您好!臺灣時間:2024/10/07 18:55
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

: 
twitterline
研究生:陳昱廷
研究生(外文):Yu-Ting Chen
論文名稱:小學學童網路成癮與執行功能、學習注意力之相關性研究
論文名稱(外文):Internet Addiction is Associated with Executive Function and Learning Attention in Elementary School Students
指導教授:陳淑如陳淑如引用關係
指導教授(外文):Su-Ru Chen
口試委員:張文英張育愷
口試委員(外文):Wen-Ying ChangYu-Kai Chang
口試日期:2015-01-22
學位類別:碩士
校院名稱:臺北醫學大學
系所名稱:護理學系碩士暨碩士在職專班
學門:醫藥衛生學門
學類:護理學類
論文種類:學術論文
論文出版年:2015
畢業學年度:103
語文別:中文
論文頁數:90
中文關鍵詞:小學學童網路成癮執行功能學習注意力
外文關鍵詞:elementary school studentsInternet addictionexecutive functionlearning attention
相關次數:
  • 被引用被引用:6
  • 點閱點閱:439
  • 評分評分:
  • 下載下載:65
  • 收藏至我的研究室書目清單書目收藏:0
  因為過度使用網路對發育中之兒童及青少年認知功能影響甚大,所以本研究目的旨在探討小學學童網路成癮與執行功能、學習注意力之相關性。本研究為橫斷式研究設計,採立意取樣,以新北市某市立國小五、六年級之學童進行調查,第一階段為篩選有無網路成癮,共收取267位個案,第二階段探討學童有無網路成癮與執行功能、學習注意力之相關性。研究工具包括網路成癮量表、叫色測驗、威斯康辛卡片分類測驗、記憶廣度測驗及課室專注力量表。資料分析採描述性統計及卡方檢定檢測有無網路成癮在各變項間之差異,另以獨立樣本t檢定檢測有無網路成癮對執行功能及學習注意力的影響並以多元逐步迴歸分析找出影響網路成癮之預測因子。
  研究結果發現,國小五、六年級學童之網路成癮量表平均得分為47.64 ± 16.74分,其中,有網路成癮有50人,佔18.7 %,有網路成癮者控制干擾能力方面,文字與顏色不相同反應時間(t = - 2.446, p < 0.05)顯著高於無網路成癮者;在認知轉換能力,總錯誤率(t = - 4.705, p < 0.001)、固著反應率(t = - 9.167, p < 0.001)、固著錯誤率(t = - 7.703, p < 0.001)顯著高於無網路成癮者,而概念水準反應率(t = 4.009, p < 0.001)顯著低於無網路成癮者;在工作記憶能力之依序背誦得分(t = 3.114, p < 0.01)、反序背誦得分(t = 2.035, p < 0.05)及依序背誦+反序背誦總分(t = 3.017, p < 0.01)顯著低於無網路成癮者;有網路成癮者學習注意力分數(t = 7.073, p < 0.001)顯著低於無網路成癮者。而性別、網路使用時間、頻率為預測學童網路成癮的重要影響因子。
  本研究結果提供醫護相關人員更了解學童網路成癮對執行功能與學習注意力之影響,有助於未來教師及家長幫助學童適當的使用網路避免網路成癮的發生。
  Because children and adolescent excessive use of the internet will influence on their cognitive functions; therefore, the purpose of this study was to investigate the relationship between internet addiction and executive function and learning attention in elementary school of fifth and sixth grade students. This study was a cross-sectional design using a purposive sampling to recruit samples from New Taipei city elementary schools. The first phase was to survey 267 children. The phase two was to investigate understand the relationship of internet addiction on executive function and learning attention in children with and without internet addiction. Instruments used included Internet Addiction Scale, Stroop Test, Wisconsin Card Sorting Test, Digit Span Test and Classrooms Attention Scale. Data were analyzed by descriptive statistics and chi-square test to detect the presence of internet addiction in the difference between the various variables. The independent samples t test was performed to detect whether internet addiction effects on executive function and learning attention, and stepwise multiple regression to identify the factors of internet addiction.
The results were as follows. The Internet Addiction Scale average score was 47.64 ± 16.74, were 50 people have Internet addiction, accounting for 18.7%. In control interference ability, internet addicts whose incongruence (t = - 2.446, p <0.05) were significantly higher than those without internet addicts. In mental set and shift, percent errors (t = - 4.705, p <0.001), percent perseverative responses (t = - 9.167, p <0.001), and percent perseverative errors (t = - 7.703, p <0.001) were significantly higher than those without internet addicts. Conceptual level responses (t = 4.009, p <0.001) were significantly lower than those without internet addiction. In working memory, in the forward digit-span task score (t = 3.114, p <0.01), in the backward digit-span task score (t = 2.035, p <0.05), and digit span total score (t = 3.017, p <0.01) were significantly lower than those without internet addicts. Internet addicts whose learning attention (t = 7.073, p <0.001) were significantly lower than those without internet addicts.
  The findings can provide health care stakeholders to better understanding of the effects of internet addiction on executive function and learning attention in elementary children. Thus, parents and teachers can use the findings to help children to proper use internet and to prevent them from addition.
目錄
頁數
致謝 I
中文摘要 II
英文摘要 IV
目錄   VI
圖表目次 IX
第一章 緒論
第一節 研究動機與重要性 1
第二節 研究目的 3
第三節 研究假設 3
第四節 名詞界定 4
第二章 文獻查證
第一節 網路成癮相關探討 6
第二節 執行功能  11
第三節 學習注意力18
第四節 研究架構  22
第三章 研究方法
第一節 研究設計  23
第二節 研究對象與場所 24
第三節 研究工具及信效度 26
第四節 研究倫理考量  30
第五節 研究步驟     31
第六節 資料統計分析  34
第四章 研究結果
第一節 基本資料及網路使用行為 35
第二節 網路成癮對執行功能及學習注意力之影響 42
第三節 影響學童網路成癮之因素 49
第五章 討論
第一節 網路成癮對執行功能之影響  52
第二節 網路成癮對學習注意力之影響 54
第三節 影響小學學童網路成癮之因素 55
第六章 結論與建議
第一節 結論 57
第二節 建議 58
第三節 研究限制 59
參考資料
中文部分 60
英文部分 63
附錄
附錄一 學童基本資料表 75
附錄二 網路成癮量表 76
附錄三 課室專注力量表 78
附錄四 家長基本資料問卷 79
附錄五 課室專注力量表同意函 82
附錄六 網路成癮量表授權同意函 83
附錄七 家庭社經地位計算表 84
附錄八 臺北醫學大學人體研究倫理委員會通過證明函 86
附錄九 受訪者同意書 87
附錄十 受訪者家長同意書 89


圖表目次
頁數
圖一 威斯康辛卡片分類測驗螢幕截圖畫面 16
圖二 小學學童網路成癮對執行功能及學習注意力之影響研究架構 22
圖三 小學學童網路成癮對執行功能及學習注意力之影響研究流程圖 32
圖四 比較有無網路成癮在不同叫色測驗之反應時間 45
圖五 比較有無網路成癮在威斯康辛卡片分類測驗結果之差異 46
圖六 比較有無網路成癮在記憶廣度測驗結果之差異 47
圖七 比較有無網路成癮在學習注意力之差異 48
表一 資料統計分析方法 34
表二 學童之基本資料及網路使用行為分布 39
表三 家長基本資料分布 40
表四 家長對學童網路成癮認知與學童自評網路成癮之結果比較 41
表五 學童有無網路成癮對執行功能及學習注意力之影響 44
表六 預測影響網路成癮因素之迴歸分析 51
參考文獻
中文文獻
王智弘(2012)‧網路成癮大作戰:找回迷途的孩子‧中華民國消費者文教基金會兒童專題,372,6-10。
王瑋瀚、花茂棽、楊啟正、朱怡娟、鄭婷文、葉炳強、邱銘章、陳達夫、黃勝堅、陳獻宗、徐文俊(2008)‧台灣WAIS-III中文版算術、記憶廣度測驗及其組合估算工作記憶指數在臨床上之適用性:回溯性研究‧中華心理學刊,50(2),187-199。
行政院研究發展考核委員會(2013).102年個人家戶數位機會調查報告.取自http://www.ndc.gov.tw/m1.aspx?sNo=0028380
兒童及少年福利與權益保障法(2015)‧兒童及少年福利與權益保障法‧取自http://law.moj.gov.tw/LawClass/LawAll.aspx?PCode=D0050001
李昌倏(2013)‧教育部電子報‧取自http://epaper.edu.tw/windows.aspx?windows_sn=11875
吳佳蓉、張德勝(2003)‧隔代教養學生與非隔代教養學生學校生活適應之比較‧花蓮師院學報,16,109-133。
林生傳(2005)‧教育社會學‧台北市:巨流。
林旻沛(2011)‧性格與認知因素對大學生網路成癮之影響:一年追蹤研究(未發表的碩士論文)‧台南市:國立成功大學健康照護科學研究所。
林玉雯、黃台珠、劉嘉茹(2010)‧課室學習專注力之研究─量表發展與分析應用‧科學教育學刊,18(2),107-129。
林宜親、李冠慧、宋玟欣、柯華葳、曾志朗、洪蘭、阮啟弘(2011)‧以認知神經科學取向探討兒童注意力的發展和學習之關聯‧教育心理學報,42(3),517-541。
林鋐宇、周台傑(2000)‧國小兒童注意力測驗之編製‧特殊教育研究學刊,35(2),29-53。
國立編譯館(2000)‧教育大辭書‧台北市:文景。
教育部(2013)‧施政方針及計畫‧取自http://www.edu.tw/pages/list.aspx?Node=2041&Type=1&Index=9&WID=45a6f039-fcaf-44fe-830e-50882aab1121
陳心怡、洪儷瑜(2004)‧WISC-III順序與逆序記憶廣度指標之建構分析與應用‧師大學報,49(2),19-42。
陳淑惠、翁儷禎、蘇逸人、吳和懋、楊品鳳(2003)‧中文網路成癮量表之編製與心理計量特性研究‧中華心理學刊,45(3),279-294。
張惠珍(2012)‧大學生網路成癮因素及其影響(未發表的碩士論文)‧台中市:東海大學管理碩士在職專班。
楊雅婷、陳奕樺‧課室專注力量表之建構‧教育研究與發展期刊,9(4),1-28。
劉智仁(2013)‧以事件相關電位探討網路成癮之神經認知缺陷(未發表的碩士論文)‧高雄市:高雄醫學大學醫學系神經學科所。
賴梅芳(2013)‧高職學生網路成癮影響因素之探討-以台中地區高職餐旅群學生為例(未發表的碩士論文)‧台中市:朝陽科技大學企業管理所。

英文文獻
American Psychiatric Association (2013). Desk Reference to the Diagnostic Criteria from DSM-5, Arlington, VA, American Psychiatric Association.
Andreou, E., & Svoli, H. (2013). The Association Between Internet User Characteristics and Dimensions of Internet Addiction Among Greek Adolescents. International Journal of Mental Health and Addiction, 11(2), 139-148.
Aktepe, E., Olgac-Dundar, N., Soyoz, O., & Sonmez, Y. (2013). Possible internet addiction in high school students in the city center of Isparta and associated factors: a cross-sectional study. The Turkish Journal of Pediatric, 55(4), 417-425.
Batthyany, D., Muller, K. W., Benker, F., & Wolfling, K. (2009). Computer game playing: clinical characteristics of dependence and abuse among adolescents. Wiener Klinsche Wochenschrift, 121(15), 502-509.
Belanger, R. E., Akre, C., Berchtold, A., & Michaud, P. (2011). A U-Shaped association between intensity of internet use and adolescent health. Pediatrics, 127(2), e330-e335.
Burdette, H. L., & Whitaker, R. C. (2005). Resurrecting free play in young children: Looking beyond fitness and fatness to attention, affiliation, and affect. Archives of Pediatrics & Adolescent Medicine, 159(1), 46-50.
Burgess, N., Maguire, E. A., & O''Keefe, J. (2002). The human hippocampus and spatial and episodic memory. Neuron, 35(4), 625-641.
Cao, F., & Su, L. (2007).Internet addiction among Chinese adolescents: prevalence and psychological features. Child: Care, Health and Development, 33(3), 275-281.
Cao, F., Su, L., Liu, T., & Gao, X. (2007). The relationship between impulsivity and Internet addiction in a sample of Chinese adolescents. European Psychiatry, 22(7), 466-471.
Carli, V., Durkee, T., Wasserman, D., Hadlaczky, G., Despalins, R., Kramarz, …Kaess, M. (2013). The Association between Pathological Internet Use and Comorbid Psychopathology: A Systematic Review. Psychopathology , 46(1), 1-13.
Chao, L. L., Mohlenhoff, B. S., Weiner, M. W., & Neylan, T. C. (2014). Associations between subjective sleep quality and brain volume in Gulf War veterans. Sleep, 37(3), 445-452.
Crone, E. A. (2009). Executive function in adolescence: Inferences from brain andnbehavior. Development Science, 12(6), 825-830.
Davenport, T. H., & Beck, J. C. (2001). The attention economy: Understanding the new currency of business. Boston, Massachusetts: Harvard Business School Press.
Demetriovics, Z., Szeredi, B., & Rozsa, S. (2008). The three-factor model of Internet addiction: The development of the Problematic Internet use questionnaire. Behavior Research Methods, 40(2), 563-574.
Dong, G., Zhou, H., & Zhao, X. (2011). Male Internet addicts show impaired executive control ability: Evidence from a color-word Stroop task. Neuroscience Letters, 499(2), 114-118.
Dong, G., Lu, Q., Zhou, H., & Zhao, X. (2010). Impulse inhibition in people with Internet addiction disorder: electrophysiological evidence from a Go/No Go study. Neuroscience Letters, 485(2), 138–142.
Dong, G., Zhou, H., & Zhao, X. (2011). Male Internet addicts show impaired executive control ability: Evidence from a color-word Stroop task. Neuroscience Letters, 499(2), 114-118.
Dong, G., Huang, J., & Du, X. (2012). Alterations in regional homogeneity of resting-state brain activity in internet gaming addicts. Behavior Brain Function , 8, 8-41.
Dong, G., DeVito, E. E., Du, X., & Cui, Z. (2012). Impaired Inhibitory Control in ‘Internet Addiction Disorder’ : A Functional Magnetic Resonance Imaging Study . Psychiatry Research. 203, 153-158.
Dong, G., Lin, X., Zhou, H., Lu, Q. (2014). Cognitive flexibility in internet addicts: fMRI evidence from difficult-to-easy and easy-to-difficult switching situations. Addictive Behaviors, 39(3), 677-683.
Faraci, P., Craparo, G., Messina, R., & Severino, S. (2013). Internet Addiction Test (IAT): which is the best factorial solution? Journal ofMedical Internet Research, 15(10), e225.
Frangos, C. C., Frangos, C. C., & Kiohos, A. (2010). Internet addiction among Greek university students: demographic associations with the phenomenon, using the Greek version of Young’s internet addiction test. International Journal of Economic Sciences and Applied Research, 3(1), 49-74.
Goldberg, I. (1996). Internet addictive disorder (IAD) diagnostic criteria. Retrieved from http://www.psycom.net/iadcriteria.html
Han, D. H., Lyoo, I. K., & Renshaw, P. F. (2012). Differential regional gray matter volumes in patients with on-line game addiction and professional gamers. Journal of Psychiatric Research, 46(4), 507-515.
Han, D. H., Lee, Y. S., Shi, X., Renshaw, P. F. (2014). Proton magnetic resonance spectroscopy (MRS) in on-line game addiction. Journal of Psychiatric Research, 58, 63-68.
Hardie, E., & Tee, M. Y. (2007). Excessive Internet use: The role of personality, loneliness and social support networks in Internet addiction. Australian Journal of Emerging Technologies and Society, 5(1), 34-47.
Hong, S. B., Kim, J. W., Choi, E. J., Kim, H. H., Suh, J. E., Kim, C. D., …Yi, S. H. (2013). Reduced orbitofrontal cortical thickness in male adolescents with internet addiction. Behavioral and Brain Functions, 9(11), 2-5.
Hou, H., Jia, S., Hu, S., Fan, R., Sun, W., Sun, T., & Zhang, H. (2012). Reduced Striatal Dopamine Transporters in People with Internet Addiction Disorder. Journal of Biomedicine and Biotechnology, 2012(5), 1-5.
Ho, R. C., Zhang, M. W., Tsang, T. Y., Toh, A. H., Pan, F., Lu, Y.,…Mak, K. K. (2014). The association between internet addiction and psychiatric co-morbidity: a meta-analysis. BioMed Central Psychiatry, 14, 183.
Ingram, F., Greve, K. W., Ingram, P. T., Soukup, V. M. (1999). Temporalstability of the Wisconsin Card Sorting Test in an untreated patient sample. British Journal of Clinical Psychology, 38(2), 209-211.
James, W. (1983). The principles of psychology. New York: Holt.
Kim, S. H., Baik, S. H., Park, C. S., Kim, S. J., Choi, S. W., & Kim, S. E. (2011). Reduced striatal dopamine D2 receptors in people with Internet addiction. NeuroReport, 22(8), 407-411.
Kirk, S. A., Gallagher, J. J., & Anastsiow, N. J . (2000). Educating exceptional children. Bonton, MA: Houghton Mifflin Co.
Ko, C. H., Yen, J. Y., Yen, C. F., Chen, C. C., Yen, C. N., & Chen, S. H. (2005). Screening for internet addiction: an empirical study on cut-off point for the chen internet addiction scale. The Kaohsiung Journal of Medical Sciences, 21(11), 545-551.
Ko, C. H., Yen, J. Y., & Yen, C. F. (2005). Gender differences in addiction to playing online games and related factors among Taiwanese adolescents. The Journal of Nervous and Mental Disease, 2015(193), 273-277.
Ko, C. H., Yen, J. Y., Yen C. F., Lin, H. C., & Yang, M. J. (2007). Factors Predictive for Incidence and Remission of Internet Addiction in Young Adolescents: A Prospective Study. CyberPsychology & Behavior, 10(4), 545-551.
Ko, C. H., Yen, J. Y., Yen, C. F., Chen, C. S. & Chen, C. C. (2012). The association between Internet addiction and psychiatric disorder: a review of the literature. European Psychiatry, 27(1), 1-8.
Lam, L. T., Peng, Z. W., Mai, J. C., & Jing, J. (2009). Factors associated with internet addiction among adolescents. Cyberpsychology & Behavior, 12(5), 551-555.
Lezak, M. D. (1995). Executive functions and motor performance. Neuropsychological Assessment . 3rd ed. New York: Oxford University, 611-646.
Lin, P. C., Kuo, S. Y., Lee, P. H., Sheen, T. C., & Chen, S. R. (2014). Effects of internet addiction on heart rate variability in school-aged children. Journal of Cardiovascular Nursing, 29(6), 493-498
Logue, S. F., Gould, T. J. (2014). The neural and genetic basis of executive function: attention, cognitive flexibility, and response inhibition. Pharmacology Biochemistry and Behavior, 123, 45-54.
Luria, A. R. (1966) . Higher cortical functions in man. New York: Basic Books Press.
Malek, A., Hekmati, I., Amiri, S., Pirzadeh, J., & Gholizadeh, H. (2013). The Standardization of Victoria Stroop Color-Word Test among Iranian Bilingual Adolescents. Archives of Iranian Medicine, 16(7), 380-384.
Miller, M., & Hinshaw, S. (2010). Does childhood executive function predictadolescent functional outcomes in girls with ADHD.Journal of Abnormal Child Psychology, 38(3), 315-326.
Milani, L., Osualdella, D., & Di Blasio, P. (2009). Quality of interpersonal relationships and problematic Internet use in adolescence. CyberPsychology & Behavior, 12(6), 681-684.
Miyake, A., Friedman, N. P., Emerson, M. J., Witzki, A. H., Howerter, A., & Wager, T. D. (2000). The Unity and Diversity of Executive Functions and Their Contributions to Complex ‘‘Frontal Lobe’’ Tasks: A Latent Variable Analysis. Cognitive Psychology, 41(1), 49-100.
Moriguchi, Y., Okanda, M., & Itakura, S. (2008). Young children’s yes bias: how does it relate to verbal ability, inhibitory control and theory of mind. First Lang, 28(4), 431-442.
Moriguchi, Y., Kanda, T., Ishiguro, H., & Itakura, S. (2010). Children perseverate to a human’s actions but not to a robot’s actions. Developmental Science, 13(1), 62-68.
National Information Society Agency (2011). Internet Addiction Survey 2010. In: Agency NIS, editor. Seoul, South Korea.
Nelson, H. E. (1976). A modified card sorting test sensitive to frontal lobe defects. Cortex, 12(1), 313-324.
Nieoullon, A. (2002). Dopamine and the regulation of cognition and attention. Prog. Neurobiol, 67(1), 53-83.
Panayides, P., & Walker, M. J. (2012). Evaluation of the psychometric properties of the Internet Addiction Test (IAT) in a sample of cypriot high school students: The rasch measurement perspective. Europe’s. Journal of Psychology, 8(3), 327-351.
Rushworth , M. F. S., Noonan, M. P., Boorman, E. D., Walton, M. E., & Behrens, T.E. (2011). Frontal cortex and reward-guided learning and decision-making. Neuron, 70(23), 1054-1069
Savage, R., Cornish, K., Manly, T., & Hollis, C. (2006). Cognitive processes in children''s reading and attention: The role of working memory, divided attention, and response inhibition. British Journal of Psychology, 97(3), 365-385.
Schinke, S. P., Fang, L., & Cole, K. C. (2009). Computer-delivered, parent-involvement intervention to prevent substance use among adolescent girls. Preventive Medicine. 49(5), 429-435.
Seo, M., Kang, H. S., & Yom, Y. H . (2009) . Internet addiction and interpersonal problems in korean adolescents. Computers Informatics Nursing, 27(4), 226-233.
St Clair-Thompson, H. L., & Gathercole, S. E. (2006). Executive functions and achievements in school: Shifting, updating, inhibition, and working memory. Quarterly Journal of ExperimentalPsychology, 59(4), 745-759.
Stroop, J. R. (1935). Studies of interference in serial verbal reactions. Journal of Experimental Psychology, 18, 643-662.
Stuss, D. T., Levine, B., Alexander, M. P., Hong, J., Palumbo, C., Hamer, L., Murphy, K. J., Izukawa, D. (2000). Wisconsin Card Sorting Test performance in patients with focal frontal and posterior brain damage: effects of lesion location and test structure on separable cognitive processes. Neuropsychologia, 38(4), 388-402.
Sun, D. L., Chen, Z. J., Ma, N., Zhang, X. C., Fu, X. M., & Zhang, D. R. (2009). Decision-Making and Prepotent Response Inhibition Functions in Excessive Internet Users. CNS Spectrums, 14(2), 75-81
Sun, Y., Sun , J., Zhou, Y., Ding, W., Chen, X., Zhuang, Z., Xu, J., & Du, Y. (2014). Assessment of in vivo microstructure alterations in gray matter using DKI in internet gaming addiction, Behavioral and Brain Functions. 10(37), 1-12..
Tsitsika, A., Critselis, E., Louizou, A., Janikian, M., Freskou, A., Marangou, E., Kormas, G., & Kafetzis, D. (2011). Determinants of Internet addiction among adolescents: A case-control study. The Scientific World Journal, 19(11), 866-874.
Wang, H., Zhou, X. L., Lu, C. Y., Wu, J., Deng, X. Q., & Hong, L. (2011). Problematic Internet Use in High School Students in Guangdong Province, China, Plos One, 6(5), e19660.
Wechsler, D. (1949). The Wechsler Intelligence Scale for Children. New York: Psychological Corp.
Wee, C. Y., Zhao, Z., Yap, P. T., Wu, G., Shi, F., Price, T.,…Shen, D. (2014). Disrupted Brain Functional Network in Internet Addiction Disorder: A Resting-State Functional Magnetic Resonance Imaging Study. PLoS One. 9(9), e107306.
Welsh, M. C., & Pennington, B. F. (1988) .Assessing frontal lobe functioning in children: Views from developmental psychology. Developmental Neuropsychology, 4(3), 199-230.
Wu, X., Chen, X., Han, J., Meng, H.,Luo, J., Nydegger, L., & Wu, H. (2013). Prevalence and Factors of Addictive Internet Use among Adolescents in Wuhan, China: Interactions of Parental Relationship with Age and Hyperactivity-Impulsivity. PLoS One, 8(4), e61782.
Yen, J. Y., Yen, C. F., Chen, C. C., Chen, S. H., & Ko, C. H. (2007) Family Factors of Internet Addiction and Substance Use Experience in Taiwanese Adolescents. CyberPsychology & Behavior, 10(3), 323-329.
Yen, J. Y., Ko, C. H., Yen, C. F., Chen, S. H., Chung, W. L., & Chen, C. C. (2008). Psychiatric symptoms in adolescents with Internet addiction: Comparison with substance use. Psychiatry and Clinical Neurosciences. 62(1), 9-16.
Yen, C. F., Ko, C. H., Yen, J. Y., Chang, Y. P., & Cheng, C. P. (2009). Multi-dimensional discriminative factors for Internet addiction among adolescents regarding gender and age. Psychiatry and Clinical Neurosciences, 63(3), 357-364.
Yılmaz, S., Herguner, S., Bilgic, A., Işık, U. (2014). Internet addiction is related to attention deficit but not hyperactivity in a sample of high school students. International Journal of Clinical Practice, 11(20), 1-6.
Young, K. S. (1998). Caught in the Net: How to recognize the signs of internet addiction and a winning strategy for recovery. NY: John Wiley &Sons, Inc.
Yuan, K., Qin, W., Wang, G., Zeng, F., Zhao, L., Yang, X.,…Tian, J. (2011). Microstructure abnormalities in adolescents with Internet addiction disorder. PLoS ONE, 6(6). e20708.
Zhou, Y., Lin, F. C., Du, Y. S., Qin, L. D., Zhao, Z. M., Xu, J. R., & Lei, H. (2011). Gray matter abnormalities in Internet addiction: A voxel-based morphometry study. European Journal of Radiology, 79(1), 92-95.
Zhou, Z., Zhu, H., Li, C., Wang, J. (2014). Internet addictive individuals share impulsivity and executive dysfunction with alcohol-dependent patients. Frontiers in Behavioral Neuroscience, 8, 288.
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top
無相關期刊