簡易檢索 / 詳目顯示

研究生: 吳祐竹
Wu, You-Zhu
論文名稱: 國中生述情障礙與網路成癮之關係研究:以自我批評為中介變項
The Relationship between Alexithymia and Internet Addiction among Junior High School Students: The Mediating Role of Self-Criticism
指導教授: 林旻沛
Lin, Min-Pei
口試委員: 李昆樺
Lee, Kun-Hua
曾幼涵
Tseng, Yu-Han
林旻沛
Lin, Min-Pei
口試日期: 2023/07/04
學位類別: 碩士
Master
系所名稱: 教育心理與輔導學系
Department of Educational Psychology and Counseling
論文出版年: 2023
畢業學年度: 111
語文別: 中文
論文頁數: 66
中文關鍵詞: 國中生述情障礙自我批評網路成癮
英文關鍵詞: junior high school students, alexithymia, self-criticism, internet addiction
研究方法: 調查研究
DOI URL: http://doi.org/10.6345/NTNU202300768
論文種類: 學術論文
相關次數: 點閱:132下載:29
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 網際網路的普及和方便,強化了我們對於網路的依賴感和沉迷的可能性。而正值身心快速發展的青少年,其網路使用行為亦為大眾關注之焦點。本研究目的為檢視國中生述情障礙、自我批評與網路成癮行為之關聯性,並以Interaction of Person-Affect-Cognition-Execution(I-PACE) model(Brand et al., 2016)釐清自我批評是否能中介述情障礙對網路成癮之正向預測關係。本研究以臺灣北部國中生為研究對象,採用橫斷研究法,使用問卷調查的方式進行施測,預計施測人數共為1,244人,共取得有效樣本1,060份、有效樣本回收率為85.21%。本研究使用「個人資料表」、「憂鬱經驗問卷之自我批評分量表」、「多倫多述情障礙量表」及「陳氏網路成癮量表」作為研究工具;本研究採用描述性統計、獨立樣本t考驗、單因子變異數分析、Pearson相關分析及結構方程模型等統計方式進行資料分析。研究結果顯示:(1)國中生平均每週上網時間為24.77小時(標準差為21.31小時),每週智慧型手機使用時間為22.59小時(標準差為21.15小時),且高達90.6%之國中生擁有屬於自己的智慧型手機;(2)每週上網時間和網路成癮總分會因國中生是否擁有智慧型手機及年級而有所顯著差異;(3)述情障礙可顯著且正向預測網路成癮;(4)自我批評可顯著且正向預測網路成癮;(5)自我批評可部分中介述情障礙對網路成癮之正向預測關係。本研究檢驗國中生述情障礙和自我批評對網路成癮行為之關聯模式,且研究者依此研究結果提出建議供家長、教師、輔導人員及研究者作為參考,以利預防和介入國中生網路成癮行為。

    The popularity and convenience of the Internet have reinforced our dependence on it and the potential for addiction. Furthermore, the negative internet usage behavior of teenagers, who are undergoing rapid physical and mental development, has become a major concern for the general public. The purpose of this study is to examine the relationship between Alexithymia, Self-Criticism, and Internet Addiction among junior high school students, and to clarify whether Self-Criticism mediates the predictive relationship between Alexithymia and Internet Addiction, based on the model of Interaction of Person-Affect-Cognition-Execution (I-PACE)( Brand et al., 2016).
      This research was conducted by cross-sectional analysis and invited the junior high school students in northern Taiwan as the participants, and received 1,060 valid responses with 85.21% response rate from questionnaire survey. The content of the questionnaire includes the personal information, the Self-Criticism Subscale of the Depressive Experiences Questionnaire (DEQ), the 20-Item Toronto Alexithymia Scale (TAS-20), and the Chen Internet Addiction Scale (CIAS). Descriptive statistics, independent t-tests, one-way analysis of variance (ANOVA), Pearson correlation analysis, and structural equation modeling (SEM) were used to analyze the relationship and causality between variables.
      The results showed that: (1) The average weekly internet usage time for junior high school students was 24.77 hours (SD = 21.31 hours), and the average weekly smartphone usage time was 22.59 hours (SD = 21.15 hours). Furthermore, 90.6% of the junior high school students owned their own smartphones. (2) Weekly internet usage time and CIAS varied significantly depending on whether the students owned smartphones and their grade level. (3) Alexithymia significantly and positively predicted Internet Addiction. (4) Self-Criticism significantly and positively predicted Internet Addiction. (5) Self-Criticism partially mediated the positive predictive relationship between Alexithymia and Internet Addiction.
      This study aimed to realize the influence from Alexithymia to Internet Addiction, and the mediating role of Self-Criticism, and finally modeled their causality based on the research analysis. The conclusion in the final part trying to provide the guides for parents, teachers, counselors, and researchers as a reference to set the treatment of the internet addictive behaviors to junior high school students.

    第一章 緒論 1 第一節 研究動機與目的 1 第二節 研究問題 5 第三節 名詞釋義 5 第二章 文獻探討 7 第一節 網路成癮定義與評估 7 第二節 述情障礙與網路成癮之相關研究 10 第三節 自我批評與網路成癮之相關研究 14 第四節 述情障礙、自我批評和網路成癮相關研究 16 第五節 研究假設 20 第三章 研究方法 21 第一節 研究架構 21 第二節 研究參與者 22 第三節 研究工具 22 第四節 研究程序 24 第五節 資料方法 24 第四章 研究結果 26 第一節 研究參與者基本資料分析 26 第二節 國中生網路使用行為概況 27 第三節 述情障礙、自我批評與網路成癮之相關分析 30 第四節 假設模型之中介效果分析 34 第五章 討論與建議 39 第一節 國中生網路使用之現況 39 第二節 述情障礙與網路成癮之關聯 40 第三節 自我批評與網路成癮之關聯 41 第四節 述情障礙、自我批評與網路成癮之關聯 43 第五節 實務工作的應用與建議 44 第六節 研究限制與未來研究方向 47 參考文獻 48 中文部份 48 西文部份 49 附錄 63 附錄 1 個人資料表 63 附錄 2 述情障礙量表 64 附錄 3 自我批評量表 65 附錄 4 陳氏網路成癮量表 66

    心理及口腔健康司 (2017年1月13日):〈戰勝網路成癮—給網路族/手機族的完全攻略手冊 〉。衛生福利部國民健康署健康九九+。 https://health99.hpa.gov.tw/material/3253
    江淑惠、向展萱(2018):〈國中生智慧型手機成癮與學業成就之研究〉。《管理資訊計算》,7,49–58。https://doi.org/10.6285/MIC.201808_7(S2).0006
    吳欣烜(2018):《述情障礙與不安全依戀在網路成癮心理病理之角色》(未出版碩士論文),國立臺灣大學。https://doi.org/10.6342/NTU201801878
    周榮、周倩(1997):〈網路上癮現象、網路使用行為與傳播快感經驗之相關性初探〉(口頭發表論文)。1997年中華傳播學會年會,臺北。http://ccstaiwan.org/paperdetail.asp?HP_ID=986
    林育臣、陳展航(2003):〈臺灣版多倫多述情量表之因素分析〉。《臺灣精神醫學》,17,276–282。http://www.sop.org.tw/sop_journal/Upload_files/17_4/08.pdf
    林旻沛、唐文慶、陳冠竹、蔡叡昀、吳祐竹(計畫主持人)(2019—2020):《臺灣國中生自傷行為盛行率與心理社會成因及預防教育之研究》(計畫編號:MOST108-2410-H003-081)。國科會助專題研究計畫成果報告,國科會。https://scholar.lib.ntnu.edu.tw/ws/portalfiles/portal/50558162/st108010140.pdf
    邱皓政(2011):《結構方程模式:LISREL的理論、技術與應用(二版)》。雙葉書廊。
    國家發展委員會(2021年1月):〈110年網路沉迷研究調查報告 〉。數位發展部。https://moda.gov.tw/digital-affairs/digital-service/dv-survey/2226
    許舜賢(2015):〈青少年中途錯輟學相關因素之探討〉。《臺灣教育評論月刊》, 4(8),161–178。
    許韶玲、施香如(2013):〈網路成癮是一種心理疾病嗎?從實證與論述文獻的脈絡檢視〉。《教育心理學報》, 44,773–792。
    陳冠竹(2021):《國中生憂鬱與網路成癮之相關研究:現實和虛擬社會支持與拒網自我效能的調節式中介效果模式》(未出版碩士論文),國立臺灣師範大學。https://doi.org/10.6345/NTNU202100611
    陳淑惠(1998):〈上網會成癮〉。《科學月刊》,26(6),477–481。
    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》,45,279–294。
    黃芳銘(2007):《結構方程模式理論與應用(五版)》。五南。
    Akgöz Aktaş, G., Alpay, E. H., & Aydın, A. (2023). Understanding the link between childhood emotional abuse and eating behaviors: The mediating role of self-criticism. Journal of Aggression, Maltreatment & Trauma. https://doi.org/10.1080/10926771.2022.2164533
    Aldao, A., Nolen-Hoeksema, S., & Schweizer, S. (2010). Emotion-regulation strategies across psychopathology: A meta-analytic review. Clinical Psychology Review, 30(2), 217–237. https://doi.org/10.1016/j.cpr.2009.11.004
    Alkhunaizan, A. S. (2019). An empirical study on smartphone addiction of the university students. International Journal of Interactive Mobile Technologies, 13(12), 184–195. https://doi:10.3991/ijim.v13i12.11120
    Bagby, R. M., Parker, J. D., & Taylor, G. J. (1994). The twenty-item Toronto Alexithymia Scale--I. Item selection and cross-validation of the factor structure. Journal of Psychosomatic Research, 38(1), 23–32. https://doi.org/10.1016/0022-3999(94)90005-1
    Baysan-Arslan, S., Cebeci, S., Kaya, M., & Canbal, M. (2016). Relationship between internet addiction and alexithymia among university students. Clinical and Investigative Medicine, 39(6), Article 27513. https://doi.org/10.25011/cim.v39i6.27513
    Beard, C., & Wickham, R. (2016). Gaming-contingent self-worth, gaming motivation, and Internet Gaming Disorder. Computers in Human Behavior, 61, 507–515. https://doi.org/10.1016/j.chb.2016.03.046
    Bechara, A. (2005). Decision making, impulse control, and loss of willpower to resist drugs: A neurocognitive perspective. Nature Neuroscience, 8(11), 1458–1463. https://doi.org/10.1038/nn1584
    Bedi, R., Muller, R. T., & Classen, C. C. (2014). Cumulaive risk for deliberate self-harm among treatment-seeking women with histories of child abuse . Psychological Trauma: Theory, Research, Practice, and Policy, 6, 600–609. https://doi.org/10.1037/a0033897
    Błachnio, A., Przepiorka, A., Senol Durak, E., Durak, M., & Sherstyuk, L. (2016). The role of self-esteem in internet addiction: A comparison between Turkish, Polish and Ukrainian samples. European Journal of Psychiatry, 30, 149–155. https://doi.org/10.1016/j.chb.2016.11.037
    Blatt, S. J. (1974). Levels of object representation in anaclitic and introjective depression. The Psychoanalytic Study of the Child, 29(10), 7–157.
    Blatt, S. J., D'Afflitti, J. P., & Quinlan, D. M. (1976). Experiences of depression in normal young adults. Journal of Abnormal Psychology, 85(4), 383–389. https://doi.org/10.1037/0021-843X.85.4.383
    Brand, M., Young, K. S., Laier, C., Wölfling, K., & Potenza, M. N. (2016). Integrating psychological and neurobiological considerations regarding the development and maintenance of specific Internet-use disorders: An Interaction of Person-Affect-Cognition-Execution (I-PACE) model. Neuroscience & Biobehavioral Reviews, 71, 252–266. https://doi.org/10.1016/j.neubiorev.2016.08.033
    Chiu, S.-I. (2014). The relationship between life stress and smartphone addiction on Taiwanese university student: A mediation model of learning self-Efficacy and social self-Efficacy. Computers in Human Behavior, 34, 49–57. https://doi.org/10.1016/j.chb.2014.01.024
    Council on Communications and Media. (2016). Media and young minds. Pediatrics, 138(5), Article e20162591. https://doi.org/10.1542/peds.2016-2591
    Dalbudak, E., Evren, C., Aldemir, S., & Evren, B. (2014). The severity of internet addiction risk and its relationship with the severity of borderline personality features, childhood traumas, dissociative experiences, depression and anxiety symptoms among Turkish university students. Psychiatry Research, 219(3), 577–582. https://doi.org/10.1016/j.psychres.2014.02.032
    Deryakulu, D., & Ursavas, Ö. F. (2014). Genetic and environmental influences on problematic Internet use: A twin study. Computers in Human Behavior, 39, 331–338. http://dx.doi.org/10.1016/j.chb.2014.07.038
    Diedrich, A., Grant, M., Hofmann, S. G., Hiller, W., & Berking, M. (2014). Self-compassion as an emotion regulation strategy in major depressive disorder. Behaviour Research and Therapy, 58, 43–51. https://doi.org/10.1016/j.brat.2014.05.006
    Dowling, N. A., & Quirk, K. L. (2009). Screening for internet dependence: Do the proposed diagnostic criteria differentiate normal from dependent internet use? Cyberpsychology & Behavior, 12(1), 21–27. https://doi.org/10.1089/cpb.2008.0162
    Ebeling-Witte, S., Frank, M. L., & Lester, D. (2007). Shyness, internet use, and personality. Cyberpsychology & Behavior, 10 (6), 713–716. http://doi.org/10.1089/cpb.2007.9964
    Efrati, Y., & Gola, M. (2019). The effect of early life trauma on compulsive sexual behavior among members of a 12-step group . The Journal of Sexual Medicine, 16(6), 803–811. https://doi.org/10.1016/j.jsxm.2019.03.272
    Fergus, T. A., Valentiner, D. P., McGrath, P. B., & Jencius, S. (2010). Shame- and guilt-proneness: Relationships with anxiety disorder symptoms in a clinical sample. Journal of Anxiety Disorders, 24(8), 811–815. https://doi.org/10.1016/j.janxdis.2010.06.009
    Field, M., & Cox, W. M. (2008). Attentional bias in addictive behaviors: A review of its development, causes, and consequences. Drug and Alcohol Dependence, 97(1–2), 1–20. https://doi.org/10.1016/j.drugalcdep.2008.03.030
    Floros, G., Siomos, K., Stogiannidou, A., Giouzepas, I., & Garyfallos, G. (2014). The relationship between personality, defense styles, internet addiction disorder, and psychopathology in college students. Cyberpsychology, Behavior, and Social Networking, 17(10), 672–676. https://doi.org/10.1089/cyber.2014.0182
    Gencer, S. L., & Koc, M. (2012). Internet abuse among teenagers and its relations to internet usage patterns and demographics. Educational Technology & Society, 15(2), 25–36. https://www.jstor.org/stable/jeductechsoci.15.2.25
    Gilbert, P. P., Clarke, M. M., Hempel, S. S., Miles, J. V., & Irons, C. C. (2004). Criticizing and reassuring oneself: An exploration of forms, styles and reasons in female students. British Journal of Clinical Psychology, 43(1), 31–50. https://doi.org/10.1348/014466504772812959
    Gilbert, P., & Irons, C. (2005). Focused therapies and compassionate mind training for shame and self-attacking. In P. Gilbert (Ed.), Compassion: Conceptualisations, research and use in psychotherapy (pp. 263–325). Routledge. https://doi.org/10.4324/9780203003459
    Gilbert, P., McEwan, K., Gibbons, L., Chotai, S., Duarte, J., & Matos, M. (2012). Fears of compassion and happiness in relation to alexithymia, mindfulness, and self-criticism. Psychology and psychotherapy, 85(4), 374–390. https://doi.org/10.1111/j.2044-8341.2011.02046.x
    Gittins, C. B., & Hunt, C. (2019). Parental behavioural control in adolescence: How does it affect self-esteem and self-criticism? Journal of Adolescence, 73(1), 26–35. https://doi.org/10.1016/j.adolescence.2019.03.004
    Goldberg, I. (1996). Internet addiction disorder. Colombia University.
    Griffiths, M. (1998). Internet addiction: Dose it really exist? In J. Gackenbach (Ed.), Psychology and the internet: Intrapersonal, interpersonal, and transpersonal implications (pp. 61–75). Academic Press.
    Griffiths, M. (2012). Internet addiction: Time to be taken seriously? Addiction Research and Theory, 20(1), 1–3. https://doi.org/10.3109/16066359.2011.608074
    Gross, J. J., & Jazaieri, H. (2014). Emotion, emotion regulation, and psychopathology: An affective science perspective. Clinical Psychological Science, 2(4), 387–401. https://doi.org/10.1177/2167702614536164
    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 & Society, 5(1), 34–47.
    Hendryx, M. S., Haviland, M. G., & Shaw, D. G. (1991). Dimensions of alexithymia and their relationships to anxiety and depression. Journal of Personality Assessment, 56(2), 227–237. https://doi.org/10.1207/s15327752jpa5602_4
    Huang, M. H. (2020). Compensatory advantage and the use of out-of-school-time tutorials: A cross-national study. Research in Social Stratification and Mobility, 66, Article 100472. https://doi.org/10.1016/j.rssm.2020.100472
    International Telecommunication Union. (2022). Internet surge slows, leaving 2.7 billion people offline in 2022. Committed to connecting the world. https://www.itu.int/en/mediacentre/Pages/PR-2022-09-16-Internet-surge-slows.aspx
    Jeromin, F., Nyenhuis, N., & Barke, A. (2016). Attentional bias in excessive Internet gamers: Experimental investigations using an addiction Stroop and a visual probe. Journal of Behavioral Addictions, 5(1), 32–40. https://doi.org/10.1556/2006.5.2016.012
    Joukamaa, M., Taanila, A., Miettunen, J., Karvonen, J. T., Koskinen, M., & Veijola, J. (2007). Epidemiology of alexithymia among adolescents. Journal of Psychosomatic Research, 63(4), 373–376. https://doi.org/10.1016/j.jpsychores.2007.01.018
    Kalivas, P.W., & Volkow, N.D. (2005). The neural basis of addiction: A pathology of motivation and choice. American Journal of Psychiatry, 162(8), 1403–1413. https://doi.org/10.1176/appi.ajp.162.8.1403
    Kardefelt-Winther, D. (2014). A conceptual and methodological critique of internet addiction research: Towards a model of compensatory internet use. Computers in Human Behavior, 31, 351–354. https://doi.org/10.1016/j.chb.2013.10.059
    Kepios. (2023, February 13). Digital 2023: Taiwan. DataReportal. https://datareportal.com/reports/digital-2023-taiwan
    Khantzian E. J. (1997). The self-medication hypothesis of substance use disorders: a reconsideration and recent applications. Harvard Review of Psychiatry, 4(5), 231–244. https://doi.org/10.3109/10673229709030550
    Khodabakhshi Koolaee, A., & Damirchi, F. (2016). Comparing quality of life among female sex workers with and without addiction. Journal of Client-Centered Nursing Care, 2(4), 201-206. https://doi.org/10.32598/jccnc.2.4.201
    Kim, K. (2013). Association between internet overuse and aggression in Korean adolescents. Pediatrics International, 55(6), 703–708. https://doi.org/10.1111/ped.12171
    Kokkonen, P., Karvonen, J. T., Veijola, J., Läksy, K., Jokelainen, J., Järvelin, M. R., & Joukamaa, M. (2001). Prevalence and sociodemographic correlates of alexithymia in a population sample of young adults. Comprehensive Psychiatry, 42(6), 471–476. https://doi.org/10.1053/comp.2001.27892
    Leung, L. (2004). Net-generation attributes and seductive properties of the Internet as predictors of online activities and Internet addiction. CyberPsychology & Behavior, 7(3), 333–348. https://doi.org/10.1089/1094931041291303
    Loas, G., Braun, S., Delhaye, M., & Linkowski, P. (2017). The measurement of alexithymia in children and adolescents: Psychometric properties of the alexithymia questionnaire for children and the twenty-item toronto alexithymia scale in different non-clinical and clinical samples of children and adolescents. PloS one, 12(5), Article e0177982. https://doi.org/10.1371/journal.pone.0177982
    Martens, M. P. (2005). The use of structural equation modeling in counseling psychology research. The Counseling Psychologist, 33(3), 269–298. https:// /doi.org/10.1177/0011000004272260
    Mazalin, D., & Moore, S. (2004). Internet use, identity development and social anxiety among young adults. Behaviour Change, 21(2), 90–102. https://doi:10.1375/bech.21.2.90.55425
    Mei, S., Xu, G., Gao, T., Ren, H., & Li, J. (2018). The relationship between college students’ alexithymia and mobile phone addiction: Testing mediation and moderation effects. BMC Psychiatry, 18(1), 1–7. https://doi.org/10.1186/s12888-018-1891-8
    Neff, K. D., & McGehee, P. (2010). Self-compassion and psychological resilience among adolescents and young adults. Self and Identity, 9(3), 225–240. https://doi.org/10.1080/15298860902979307
    Noh, D., & Kim, S. (2016). Dysfunctional attitude mediates the relationship between psychopathology and Internet addiction among Korean college students: A cross‐sectional observational study. International Journal of Mental Health Nursing, 25(6), 588-597. https://doi.org/10.1111/inm.12220
    Ogrodniczuk, J. S., Piper, W. E., & Joyce, A. S. (2011). Effect of alexithymia on the process and outcome of psychotherapy: A programmatic review. Psychiatry Research, 190(1), 43–48. https://doi.org/10.1016/j.psychres.2010.04.026
    Parker, J. D. A., Taylor, G. J., & Bagby, R. M. (2003). The 20-item toronto alexithymia scale III. Reliability and factorial validity in a community population. Journal of Psychosomatic Research, 55(3), 269–275. https://doi.org/10.1016/s0022-3999(02)00578-0
    Reid, R. C., Cooper, E. B., Nicole Prause, Þ., Desiree Li, P. S., & Fong, T. W. (2012). Facets of perfectionism in a sample of hypersexual patients. Journal of Nervous and Mental Disease, 200(5), 435–437. https://doi.org/10.1097/NMD.0b013e3182718d67
    Runcan, R. (2020). Alexithymia in adolescents: A review of literature. Agora Psychopragmatica, 14(1), 20–28.
    Salminen, J. K., Saarijärvi, S., Aärelä, E., Toikka, T., & Kauhanen, J. (1999). Prevalence of alexithymia and its association with sociodemographic variables in the general population of Finland. Journal of Psychosomatic Research, 46(1), 75–82. https://doi.org/10.1016/s0022-3999(98)00053-1
    Salminen, J. K., Saarijärvi, S., Toikka, T., Kauhanen, J., & Äärelä, E. (2006). Alexithymia behaves as a personality trait over a 5-year period in Finnish general population. Journal of Psychosomatic Research, 61(2), 275–278. https://doi.org/10.1016/j.jpsychores.2006.01.014
    Sassover, E., Abrahamovitch, Z., Amsel, Y., & Ein-Dor, T. (2023). A study on the relationship between shame, guilt, self-criticism and compulsive sexual behaviour disorder. Current Psychology, 42, 8347–8355. https://doi.org/10.1007/s12144-021-02188-3
    Scimeca, G., Bruno, A., Cava, L., Pandolfo, G., Muscatello, M. R. A., & Zoccali, R. (2014). The relationship between alexithymia, anxiety, depression, and internet addiction severity in a sample of Italian high school students. The Scientific World Journal, 2014, Article 504376. https://doi.org/10.1155/2014/504376
    Shibata, M., Ninomiya, T., Jensen, M. P., Anno, K., Yonemoto, K., Makino, S., Iwaki, R., Yamashiro, K., Yoshida, T., Imada, Y., Kubo, C., Kiyohara, Y., Sudo, N., & Hosoi, M. (2014). Alexithymia is associated with greater risk of chronic pain and negative affect and with lower life satisfaction in a general population: The hisayama study. PloS one, 9(3), Article e90984. https://doi.org/10.1371/journal.pone.0090984
    Sifneos, P. E. (1972). Short-term psychotherapy and emotional crisis. Harvard University Press.
    Sifneos P. E. (1973). The prevalence of “alexithymia” characteristics in psychosomatic Patients. Psychotherapy and Psychosomatics, 22(2-6), 255–262. https://doi.org/10.1159/000286529
    Stasiewicz, P. R., Bradizza, C. M., Gudleski, G. D., Coffey, S. F., Schlauch, R. C., Bailey, S. T., Bole, C. W., & Gulliver, S. B. (2012). The relationship of alexithymia to emotional dysregulation within an alcohol dependent treatment sample. Addictive Behaviors, 37(4), 469–476. https://doi.org/10.1016/j.addbeh.2011.12.011
    Suris, J. C., Akre, C., Piguet, C., Ambresin, A. E., Zimmermann, G., & Berchtold, A. (2014). Is internet use unhealthy? A cross-sectional study of adolescent internet overuse. Swiss Medical Weekly, 144, Article w14061. https://doi.org/10.4414/smw.2014.14061
    Tang, J., Yu, Y., Du, Y., Ma, Y., Zhang, D., & Wang, J. (2014). Prevalence of internet addiction and its association with stressful life events and psychological symptoms among adolescent internet users. Addictive Behaviors, 39(3), 744–747. http://doi.org/10.1016/j.addbeh.2013.12.010
    Taylor, G. J., Bagby, R. M., & Parker, J. D. A. (1991). The Alexithymia construct: A potential paradigm for psychosomatic medicine. Psychosomatics, 32(2), 153–164. https://doi.org/10.1016/S0033-3182(91)72086-0
    Taylor, G. J., Bagby, R. M., & Parker, J. D. A. (1997). Disorders of affect regulation: alexithymia in medical and psychiatric illness. Cambridge University Press.
    Taylor, R. N., Koerber, R., Parker, J. D. A., & Maitland, S. B. (2014). Alexithymia and internet abuse in young adults. Personality and Individual Differences, 60(Supplement) , Article S50. https://doi.org/10.1016/j.paid.2013.07.203
    Thompson, R., & Zuroff, D. C. (2004). The levels of self-criticism scale: Comparative self-criticism and internalized self-criticism. Personality and Individual Differences, 36(2), 419–430. https://doi.org/10.1016/S0191-8869(03)00106-5
    Thorberg, F. A., & Lyvers, M. (2006). Negative mood regulation (NMR) expectancies, mood, and affect intensity among clients in substance disorder treatment facilities. Addictive Behaviors, 31(4), 811–820. https://doi.org/10.1016/j.addbeh.2005.06.008
    Thorberg, F. A., Young, R. M., Sullivan, K. A., Lyvers, M., Hurst, C. P., Connor, J. P., Tyssen, R., London, E. D., Noble, E. P., & Feeney, G. F. X. (2016). A longitudinal mediational study on the stability of alexithymia among alcohol-dependent outpatients in cognitive–behavioral therapy. Psychology of Addictive Behaviors, 30(1), 64–72. https://doi.org/10.1037/adb0000135
    Tominaga, T., Choi, H., Nagoshi, Y., Wada, Y., & Fukui, K. (2014). Relationship between alexithymia and coping strategies in patients with somatoform disorder. Neuropsychiatric Disease and Treatment, 10, 55–62. https://doi.org/10.2147/NDT.S55956
    Vandenkerckhove, B., Soenens, B., Van der Kaap-Deeder, J., Brenning, K., Luyten, P., & Vansteenkiste, M. (2019). The role of weekly need-based experiences and self-criticism in predicting weekly academic (mal)adjustment. Learning and Individual Differences, 69, 69–83. https://doi.org/10.1016/j.lindif.2018.11.009
    Venta, A., Hart, J., & Sharp, C. (2013). The Relation between experiential avoidance, alexithymia and emotion regulation in inpatient adolescents. Clinical Child Psychology and Psychiatry, 18(3), 398–410. https://doi.org/10.1177/1359104512455815
    Volkow, N.D., Wang, G.J., Fowler, J.S., & Tomasi, D. (2012). Addiction circuitry in the human brain. Annual Review of Pharmacology and Toxicology, 52, 321–336. https://doi.org/10.1146/annurev-pharmtox-010611-134625
    Waldo, A. D. (2014). Correlates of internet addiction among adolescents. Psychology, 5(18), 1999–2008. https://doi.org/10.4236/psych.2014.518203
    World Health Organization. (2022). ICD-11: International classification of diseases (11th revision).https://icd.who.int/en
    Xavier, A., Cunha, M., & Pinto-Gouveia, J. (2016). The indirect effect of early experiences on deliberate self-harm in adolescence: Mediation by negative emotional states and moderation by daily peer hassles. Journal of Child and Family Studies, 25(5), 1451–1460. https://doi.org/10.1007/s10826-015-0345-x
    You, J., Lin, MP. & Leung, F. (2015). A longitudinal moderated mediation model of nonsuicidal self-injury among adolescents. Journal of Abnormal Child Psychology, 43(2), 381–390. https://doi.org/10.1007/s10802-014-9901-x
    Young, K. S. (1996). Psychology of computer use: XL. Addictictive use of the internet: A case that break the stereotype. Psychological reports, 79(3), 899–902.https://doi.org/10.2466/pr0.1996.79.3.899
    Young, K. S. (1998a). Internet addiction: The emergence of a new clinical disorder. CyberPsychology and Behavior, 1(3), 237–244. https://doi.org/10.1089/cpb.1998.1.237
    Young, K. S. (1998b). Caught in the net: How to recognize the signs of internet addiction-and a winning strategy for recovery. John Wiley & Sons.
    Young, K. S. (1999). Internet addiction: Evaluation and treatment. Student British Medical Journal, 7, 351–393. https://doi.org/10.1136/sbmj.9910351
    Young, K. S. (2010). Internet addiction: A handbook and guide to evaluation and treatment. John Wiley & Sons.
    Zimmermann, G., Quartier, V., Bernard, M., Salamin, V., & Maggiori, C. (2007). The 20-item toronto alexithymia scale: structural validity, internal consistency and prevalence of alexithymia in a Swiss adolescent sample. L'encéphale, 33(6), 941–946. https://doi.org/10.1016/j.encep.2006.12.006
    Zuroff, D. C., Clegg, K. A., Levine, S. L., Hermanto, N., Armstrong, B. F., Haward, B., & Thode, S. (2021). Beyond trait models of self-criticism and self-compassion: variability over domains and the search for signatures. Personality and Individual Differences, 170, Article 110429. https://doi.org/10.1016/j.paid.2020.110429
    Zuroff, D. C., Quinlan, D. M., & Blatt, S. J. (1990). Psychometric properties of the depressive experiences questionnaire in a college population. Journal of Personality Assessment, 55(1-2), 65-72. https://doi.org/10.1080/00223891.1990.9674047

    下載圖示
    QR CODE