研究生: |
林嘉歆 Lin, Chia-Hsin |
---|---|
論文名稱: |
大台北地區國中生依附關係、因應策略與網路成癮關係之研究 The relationship of attachment style, coping strategies and Internet addiction among junior high school students in Taipei |
指導教授: |
林旻沛
Lin, Min-Pei |
口試委員: |
林旻沛
Lin, Min-Pei 藍挹丰 Lan, Yi-Feng 張鳳琴 Zhang, Feng-Qin |
口試日期: | 2024/04/24 |
學位類別: |
碩士 Master |
系所名稱: |
成癮防制碩士在職學位學程 Continuing Education Master's Program of Addiction Prevention |
論文出版年: | 2024 |
畢業學年度: | 112 |
語文別: | 中文 |
論文頁數: | 74 |
中文關鍵詞: | 依附關係 、因應策略 、網路成癮 |
英文關鍵詞: | Attachment Relationship, Coping Strategies, Internet Addiction |
研究方法: | 調查研究 |
DOI URL: | http://doi.org/10.6345/NTNU202400506 |
論文種類: | 代替論文:專業實務報告(專業實務類) |
相關次數: | 點閱:368 下載:15 |
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這份專業實務報告旨在探討大台北地區國中生的依附關係、因應策略與網路成癮行為之間的關聯。本研究以大台北地區三所國中的學生作為研究對象,所收集到的國中生資料分別來自新北市的一所國中和臺北市的兩所國中;其中,新北市的學生共55名,臺北市的學生總計有83名,總共發出150份問卷,實際上收到了135份問卷。而研究工具包含「個人資料表」、「人際依附風格問卷」、「因應策略量表」及「陳氏網路成癮量表」。調查所得資料以描述性統計、Pearson相關分析及多元迴歸分析進行有關分析,最後採Sobel test來檢驗因應策略在依附關係對網路成癮的預測關係中,是否有扮演中介角色。
以下是針對研究問題所提出之研究結果:
一、即便「看影片」為國中生最多人次的網路活動,但是「玩遊戲」所花費的時間卻是最多的,且遊戲的過程令個體難有效掌控時間,導致走向網路成癮就如溫水煮青蛙。
二、在人際依附型態與網路成癮之間從研究結果看到,焦慮和逃避型人際依附型態之國中生與網路成癮有高度相關,且亦能對網路成癮有預測力;而安全和排除型依附則與網路成癮無呈現相關性。
三、在壓力因應策略與網路成癮之間從研究結果看到,消極因應策略與網路成癮呈顯著正相關,且亦能對網路成癮有預測力;而積極因應、尋求協助二者與網路成癮均呈負相關,轉移注意力則與網路成癮無相關。
四、從依附型態與因應策略之間從研究結果看到,安全和排除型依附皆與積極因應策略有顯著正相關亦有預測力;而焦慮和逃避依附則與消極因應呈顯著正相關和顯著預測效應。由依附型態與因應策略的關係,可見學生越是能覺得自己是有價值的、值得他人的關愛的,則越能相信自己有能力採積極因應策略,或是向外尋求支援;反之則越傾向退縮、逃避等消極因應策略。
五、消極因應策略分別影響焦慮依附、逃避依附對於網路成癮之中介效果顯著,因此從有中介影響的因應策略著手輔導學生,可以相較於改變學生的依附型態來得容易改善其網路成癮的問題。
根據本研究的結果,研究者提出了一些具體的建議,以供家長、教育工作者、相關輔導諮詢及助人專業人士和未來研究者參考。
The professional practice report aims to explore the relationships among attachment styles, coping strategies, and internet addiction behaviors among junior high school students in Taipei. This study targeted students from three junior high schools in Taipei, with data collected from one school in New Taipei City and two schools in Taipei City. A total of 135 out of 150 distributed questionnaires were collected. The research tools included a personal information form, a interpersonal attachment style questionnaire, a coping strategies scale, and a Chen's Internet Addiction Scale. Descriptive statistics, Pearson correlation analysis, and multiple regression analysis were conducted on the collected data. Additionally, the Sobel test was employed to examine whether coping strategies played a mediating role in the predictive relationship between attachment styles and internet addiction.
The research findings regarding the research questions are summarized as follows:
1. Although "watching videos" is the most frequent internet activity among junior high school students, the time spent playing games is the highest. The excitement of gaming and the release of dopamine in the brain make it difficult for individuals to control their time, leading to internet addiction gradually, akin to boiling a frog in water.
2. Regarding the relationship between interpersonal attachment styles and internet addiction, the study results indicate a high correlation between anxiety and avoidance attachment styles and internet addiction, with predictive power. However, secure and dismissive attachment styles show no correlation with internet addiction.
3. Regarding the relationship between stress coping strategies and internet addiction, negative coping strategies show a significant positive correlation with internet addiction and predictive power. Meanwhile, positive coping strategies and seeking assistance are negatively correlated with internet addiction, while distraction coping shows no correlation.
4. From the relationship between attachment styles and coping strategies, both secure and dismissive attachment styles are significantly positively correlated with positive coping strategies and have predictive power. Conversely, anxiety and avoidance attachment styles are significantly positively correlated with negative coping strategies and have a significant predictive effect. The relationship between attachment styles and coping strategies suggests that students who feel valued and worthy of others' love are more likely to believe in themselves and adopt positive coping strategies or seek support, while those with tendencies towards withdrawal and avoidance are more inclined towards negative coping strategies.
5. Negative coping strategies mediate the effects of anxiety attachment and avoidance attachment on internet addiction significantly. Therefore, counseling students focusing on coping strategies with mediating effects may be more effective in addressing internet addiction issues compared to changing students' attachment styles.
Based on the research findings, the researchers propose some specific recommendations for parents, educators, related counseling and helping professionals, and future researchers to consider.
中文部分
王玉珍、王櫻芬、李欣潔、吳若慈(2016)。依附、因應策略和青少年生活適應困擾之中介模式分析研究。國立臺灣師範大學教育心理與輔導學系教育心理學報,48(1),15-35。
王智弘(2004)。運用網路諮商以因應青少年網路問題行為。臺灣心理諮商資訊網。http://www.heart.net.tw/wang/paper-new/paper20040402.htm.2015-05-20
王慶福、林幸台、張德榮(1997):人際依附風格、性別角色取向與人際親密能力之評量。測驗年刊,44(2), 63-78。
李金治(2003)。國立臺灣師範大學四年級學生生活壓力、因應方式、社會支持與其身心健康之相關研究(未出版之博士論文)。國立臺灣師範大學。
林以正、王澄華、吳佳輝(2005)。網路人際互動特質與依戀型態對網路成癮的影響。中華心理學期刊,47(3),289-309。
林旻沛、丁建谷、賴雅純、柯慧貞(2005)。不同成人依附型態大學生在網路成癮清向上的差異。中華心理衛生學刊,18(4),93-119。
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。國立成功大學健康照護科學研究所博士論文。
林倩如、王智弘、林旻沛(2012)。網路成癮傾向兒童之短期動力取向團體心理
治療方案。中華團體心理治療學刊,18(4),11-27。
林家興、陳玉芳、葉雅馨、徐佳玲、孫正大(2008)。董氏憂鬱量表(大專版) 編製研究。測驗學刊,55(3),509-533。
林耀盛、李仁宏、吳英璋(2006)。雙親教養態度、家庭功能與青少年憂鬱傾向關係探討。臨床心理學刊,3(1),35-45。
邱郁雯(2003)。家庭功能、父母管教態度對 4-6 歲學齡前兒童行為與情緒問題之影響。國立成功大學行為醫學研究所碩士論文。
柯志鴻、顏如佑、顏正芳、陳正宗、 顏嘉男、 陳淑惠(2005)。網路成癮量表應用於篩選及診斷網路成癮疾患之切分點研究。The Kaohsiung Journal of Medical Sciences,21(11 ),545 - 551。
范心宇、廖益興(2023)。學生網路成癮危險因子、拒網自我效能、逃避情緒因應型態與網路成癮之研究-以某私立大學為例。中華行政學報,32, 145-160。
紀怡如(2002)。國中生依附關係、壓力知覺與其因應策略之相關研究。國立屏東師範學院教育心理與輔導研究所碩士論文。
柯慧貞(1989)。內因性與非內因性憂鬱症在腎上腺皮質素抑制反應、認知偏差及生活壓力上之比較。國立臺灣大學心理研究所博士論文。
財團法人臺灣網路資訊中心(2011)。臺灣寬頻網路使用調查報告。http://www.twnic.net.tw/download/200307/1101a.pdf.2015-05-20
財團法人臺灣網路資訊中心(2014)。歷次個人及家庭上網行為調查趨勢分析。http://www.twnic.net.tw/download/200307/20140820f.pdf.2015-05-20
財團法人臺灣網路資訊中心(2014)。台灣寬頻網路使用調查。http://www.twnic.net.tw/download/200307/20140820a.pdf.2015-05-20
教育部(2017)。106年學生網路使用情形調查報告。https://ws.moe.edu.tw/Download.ashx?u=C099358C81D4876CA89ABD8A8B76D9997C8CD1ED0B5A2F1BF61674CA2E7A1AFEEC2155A0E1BC737587D44CE4C80A4DE597696751F36E81B1F7413086C83C466DE23B8AF3D374713D41F65DEA7CC4AA21&n=A7FAAB9C0EEFD3D29CBD4E0FED465EC7A204854EFE687731A46B46ACDE8E0737B233E1A734E6568E90962FE353FC5A49FA929C40AB1AD355AA4E018D4B8202B6&icon=..pdf.2017-10
陳欣怡、王美惠、陳曉靚、滕常辰(2013)。國小高年級學童生活壓力、休閒因應策略與心理健康之研究。輔仁民生學誌,19(2),117-131。
陳思帆、張高賓(2013)。國中生知覺家庭功能、社會支持與憂鬱傾向之相關研究。家庭教育與諮商學刊,14,83-110。
陳珏汝(2019) 。高中職學生自尊、因應型態、拒網自我效能與網路成癮之相關研究。國立臺灣師範大學。
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制與心理計量特性研究。中華心理學刊,45(3),279-294。
陳瑛琪(2013)。青少年網路成癮-現實與虛擬環境間的拉鋸戰。商管科技季刊,14(2) ,165-193。
陳毓文(2004)。少年憂鬱情緒的危險與保護因子之相關性研究。中華心理學刊,
17(4),67-95。
陳麗英(1995)。家庭功能的評估。中華心理衛生學刊,8(3),33-41。
張高賓(2009)。父母教養態度、家庭心理環境與青少年網路成癮之相關研究。家庭教育與諮商學刊,6,93-117。
張翠芬(2012 年 02 月 29 日)。兩成學生網路成癮,全球最嚴重。中時電子報。http://nga.moe.edu.tw/new/contentslist.php?id=20.2015-05-20
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(4),773-793。
黃柏蒼(2011)。臺灣青少年網路成癮之心理病理因子與性別差異:其與網路使用、壓力、衝動性之關聯性。國立臺灣大學心理學研究所碩士論文。
黃曉涵、古明峰(2012)。國中生的生活壓力、自我控制與網路沉迷傾向之研究。臺東大學教育學報,23(1),33-57。
蔡秉宏(2012)。一心多用?網路使用者在上網同時使用其他媒體的動機與行為。國立臺灣大學社會科學院新聞研究所碩士論文。
鄭夙芬(1998)。家庭功能之評估與應用-以臨床家庭為例。社區發展季刊,83,
287-304。
衛生福利部心理健康司(2022)。網路成癮專區。https://dep.mohw.gov.tw/DOMHAOH/cp-4910-55038-107.html.2022-08-10
親子天下(2018)。國衛院最新調查:台灣青少年網路遊戲者成癮比率3% 是歐美3倍。https://www.parenting.com.tw/article/5077855.2018-09-18
簡珮如(2013)。國中生生活壓力、壓力因應策略與網路成癮之研究。國立雲林科技大學技術及職業教育碩士論文。
關家慶(2013年06月26日)。 國二生迷「網」三餐由母親服侍。東森新聞。http://www.ettoday.net/news/20130626/231443.htm#ixzz2z8Lq9kAT.2015-05-20
羅孟婷(2013)。臺灣大學生衝動性與問題網路使用之關聯性:交叉延宕長期追蹤分析。國立交通大學教育研究所碩士論文。
羅國英(1995)。家庭研究中的測量問題。東吳社會工作學報,1,37-90。
西文部分
Ainsworth, M. D. S. (1967). Infancy in Uganda: Infant care and the growth of love. Baltimore, MA: Johns Hopkins University Press.
Ainsworth, M. D. S., Blehar, M. C., Waters, E., & Wall, S.(1978). Patterns of attachment: A psychological study of the strange Situation. Hillsdale, NJ: Erlbaum.
American Psychiatric Association (2013). Diagnostic and Statistical Manual of Mental Disorders-Text Revision (5th Edition). American Psychiatric Association, DC, USA.
Armstrong, L., Phillips, J. G., & Saling, L. L. (2000). Potential determinants of heavier internet usage. International Journal of Human Computer Studies, 53(4),537-550. doi: 10.1006/ijhc.2000.0400
Barker, J. C., & Hunt, G. (2004). Representations of family: A review of the alcohol and drug literature. International Journal of Drug Policy, 15(5-6), 347–356. doi:10.1016/j.drugpo.2004.07.002
Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173-1182. doi: 10.1037//0022-3514.51.6.1173
Beard, K. (2005). Internet addiction: A review of current assessment techniques and potential assessment questions. CyberPsychology amd Behavior, 8(1), 7-14. doi: 10.1089/cpb.2005.8.7
Black, D. W., Belsare, G., & Schlosser, S. (1999). Clinical features, psychiatric comorbidity, and health-related quality of life in persons reporting compulsive computer use behavior. Journal of Clinical Psychiatry, 60(12), 839-843. doi: 10.4088/JCP.v60n1206
Bowlby, J. (1969). Attachment and loss: Vol. 1. Attachment. New York, NY: Basic Books.
Bowlby, J. (1973). Attachment and loss: Vol. 2. Separation: Anxiety and anger. New York, NY: Basic Books.
Bowlby, J. (1980). Attachment and loss: Vol. 3. Loss, sadness and depression. New York, NY: Basic Books.
Bowlby, J. (1982). Attachment and loss: Retrospect and prospect. American Journal of Orthopsychiatry, 52(4), 664-678.
Bowlby, J. (1988). A secure base: Parent-child attachment and healthy human development. London, England: Routledge.
Brandon, A. Y., Audrey, H., & Emilio, C. (2008). Depression as a mediator between family factors and peer-bullying victimization in Latino adolescents. Violence and Victims, 23(6), 727-742. doi: 10.1891/0886-6708.23.6.727
Cao, F., Su, L., Liu, T. O., & Gao X. (2007). The relationship between impulsivity
and internet addiction in a sample of Chinese adolescents. European Psychiatry, 22(7), 466-471. doi: 10.1016/j.eurpsy.2007.05.004
Chiu, Y.-C., Pan, Y.-C., & Lin, Y.-H. (2018). Chinese adaptation of the Ten-Item Internet Gaming Disorder Test and prevalence estimate of Internet gaming disorder among adolescents in Taiwan. Journal of Behavioral Addictions, 7(3), 719-726. https://doi.org/https://doi.org/10.1556/2006.7.2018.92
Chiu, S. H., Ko, H. C., & Wu, J. Y. W. (2007). Depression moderated the effect of exposure to suicide news on suicidality among college students in Taiwan. Suicide and Life-Threatening Behavior, 37(5), 585-592. doi: 10.1521/suli.2007.37.5.585
Chung, T., Langenbucher, J., Labouvie, E., Pandina, R. J., & Moos, R. H. (2001). Changes in alcoholic patients' coping responses predict 12-month treatment outcomes. Journal of Consulting and Clinical Psychology, 69, 92-100.
Chen, H. J. & Lue, B. H. (2008). Association of Depression of College Students with Their Personal Health Beliefs and Behaviors. Formosa Journal of Mental Health, 21(4), 331-349.
Christakis, D. A., Moreno, M. M., Jelenchick, L., Myaing, M. T., & Zhou, C. (2011). Problematic internet usage in US college students: A pilot study. BioMed Central Medicine, 9(1), 77-82. doi: 10.1186/1741-7015-9-77
Collins, N. L., & Read, S. J. (1994). Cognitive representations of attachment: The structure and function of working models. In Bartholomew K, PerlmanD. (Eds. ) Attachment process in adulthood, 5, 53-92. Jessica Kingsley, London.
Davison, G. C., Neale, J. M., & Kring, A. M. (2004). Abnormal psychology. New York: Wiley.
Dong, G. H., & Zhou, H. (2010). Is impulse-control ability impaired in people with internet addiction disorder: Electrophysiological evidence from ERP studies. International Journal of Psychophysiology, 77(3),334-335. doi: 10.1016/j.ijpsycho.2010.06.271
Georgios, K., Elena, C., Mari, J., Dimitrios, K., & Artemis, T. (2011). Risk factors and psychosocial characteristics of potential problematic and problematic internet use among adolescents: A cross-sectional study. BioMed Central Public Health, 11(1), 595-602. doi: 10.1186/1471-2458-11-595
Griffiths, M. (1995). Technological addictions. Clinical Psychology Forum, 76, 14-19.
Griffiths, M. (2000). Does Internet and computer "addiction" exist? Some case study evidence. CyberPsychology and Behavior, 3(2), 211-218. doi: 10.1089/109493100316067
Ha, J. H., Kim, S. Y., Bae, S. C., Bae, S., Kim, H., Sim, M., Lyoo, I. K., & Cho, S. C.(2007). Depression and internet addiction in adolescents. Psychopathology, 40(6), 424-430. doi: 10.1159/000107426
Han, D. H., Lee, Y. S., Yang, K. C., Kim, E. Y., Lyoo, I. K., & Renshaw, P. F. (2007). Dopamine genes and reward dependence in adolescents with excessive Internet video game play. Journal of Addiction Medicine, 1(3), 133-138. doi: 10.1097/ADM.0b013e31811f465f
Holden, C. (2001). Compulsive behaviors "Behavioral' addictions: Do they exist? Science, 294(5544), 980-982. doi: 10.1126/science.294.5544.980
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, 1-5. doi: 10.1155/2012/854524
Hu, L. & Bentler, P. (1999). Cutoff criteria for fit indices in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1-55. doi: 10.1080/10705519909540118
Huang, X. Q., Zhang, H. M., Li, M. J., Wang, J. A., Zhang, Y., & Tao, R. (2010). Mental health, personality, and parental rearing styles of adolescents with internet addiction disorder. Cyberpsychology Behavior and Social Networking, 13(4), 401-406. doi: 10.1089/cyber.2009.0222
Joseph, A. D. L. & Edelgard, W. (2013). Problematic Internet Use and Other Risky Behaviors in College Students: An Application of Problem-Behavior Theory. Psychology of Addictive Behaviors, 27(1), 133-141. doi: 10.1037/a0030823
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. doi: 10.3109/10673229709030550
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. doi: 10.1097/WNR.0b013e328346e16e
Kim, J., & Haridakis, P. M. (2009). The role of Internet user characteristics and motives in explaining three dimensions of internet addiction. Computer Mediated Communication, 14(4), 988-1015. doi: 10.1111/j.1083-6101.2009.01478.x
Kim, K., Ryu, E., Chon, M. Y., Yeun, E. J., Choi, S. Y., Seo, J. S., & Nam, B. W. (2006).Internet addiction in Korean adolescents and its relation to depression and suicidal ideation: A questionnaire survey. International Journal of Nursing Studies, 43(2), 185-192. doi: 10.1016/j.ijnurstu.2005.02.005
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. doi: 10.1016/j.eurpsy.2010.04.011
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 and Behavior, 10(4), 545-551. doi: 10.1089/cpb.2007.9992
Ko, C. H., Yen, J. Y., Liu, S. C., Huang, C. F., & Yen, C. F. (2009). The associations between aggressive behaviors and internet addiction and online activities in adolescents. Journal of Adolescent Health, 44(6), 598-605. doi: 10.1016/j.jadohealth.2008.11.011
Ko, C. H., Yen, J. Y., Chen, C. S., Yeh, Y. C., & Yen, C. F. (2009). Predictive values of psychiatric symptoms for internet addiction in adolescents: A 2-year prospective study. Archives of Pediatrics and Adolescent Medicine, 163(10), 937-943. doi: 10.1001/archpediatrics.2009.159
Ko, C. H., Yen, J. Y., Chen, S. H., Yang, M. J., Lin, H. C., & Yen, C. F. (2009). Proposed diagnostic criteria and the screening and diagnosing tool of internet addiction in college students. Comprehensive Psychiatry, 50(4), 378-384. doi: 10.1016/j.comppsych.2007.05.019
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 points for the Chen Internet addiction scale. Kaohsiung Journal of Medical Sciences, 21(21), 545-551.
Ko, H. C., Lin, M. P., Liao, L. C., Yu, R. L., Su, L. C., & Chang, E. W. C. (2004). Theprevalence and psychosocial risk factors for Internet addiction among college students in Taiwan. Paper presented at the 1st Asia Pacific Institute of Addictions Conference, Singapore.
Koronczai, B., Kokonyei, G., Urban, R., Kun, B., Papay, O., Nagygyorgy, K., Griffiths,M. D., & Demetrovics, Z. (2013). The mediating effect of self-esteem, depression and anxiety between satisfaction with body appearance and problematic internet use. American Journal of Drug Alcohol Abuse, 39(4), 259-265. doi: 10.3109/00952990.2013.803111
Lazarus, R. S. (1993). Coping theory and research: Past, present, and future. Psychosomatic Medicine, 55, 234-247.
Lisa, S., Hyman, H., & Betsy, D. (2001). Family processes in adolescent depression. Clinical Child and Family Psychology Review, 4, 19-35.
MacKinnon, D. P., Lockwood, C. M., Hoffman, J. M., West, S. G., & Sheets, V. (2002). A comparison of methods to test mediation and other intervening variable effect. Psychological Methods, 7(1), 83-104. doi: 10.1037//1082-989X.7.1.83
Martens, M. P. (2005). The use of structural equation modeling in counseling psychology research. The Counseling Psychologist, 33(3), 269-298. doi: 10.1177/0011000004272260
Ni, X., Yan, H., Chen, S., & Liu, Z. (2009). Factors Influencing Internet Addiction in a Sample of Freshmen University Students in China. CyberPsychology and Behavior, 12(3), 327-330. doi: 10.1089/cpb.2008.0321
Ognibene, T. C., & Collins, N. L. (1998). Adult attachment styles, perceived social support, and coping strategies. Journal of social and Personal Relationships, 15, 323-345.
Omer, S., Guliz, S., Oya, G., & Ramazan, K. (2014). Attachment and family functioning in patients with internet addiction. General Hospital Psychiatry, 36(2), 203-207. doi: 10.1016/j.genhosppsych.2013.10.012
Park, H. S., Kim, S. H., Bang, S. A., Yoon, E. J., Cho, S. S., & Kim, S. E. (2010).Altered regional cerebral glucose metabolism in internet game overusers: A 18Ffluorodeoxyglucose positron emission tomography study. CNS Spectrums, 15, 159-166.
Park, S. K., Kim, J. Y., & Cho, C. B. (2008). Prevalence of internet addiction and correlations with family factors among South Korean adolescents. Adolescence, 43, 895-909.
Peter, M. Y., & Shayna, M. (2007). Problematic Internet use or Internet addiction? Computers in Human Behavior, 23,1447-1453.
Rice, M. (2005). Online addiction. Beijing Review, 48, 32-33.
Shaffer, H. (1996). Understanding the means and objects of addiction: Technology, the intemet, and gambling. Journal of Gambling Studies, 12(4), 461-469. doi: 10.1007/BF01539189
Shapira, N. A., Goldsmith, T. G., Keck, P. E., Khosla, U. M., & McElroy, S. L. (2000).Psychiatric features of individuals with problematic internet use. Journal of Affective Disorders, 57, 267-272. doi:10.1016/S0165-0327(99)00107-X
Shapira, N. A., Lessig, M. C., Goldsmith, T. D., Szabo, S. T., Lazoritz, M., Gold, M. S., & Stein, D. J. (2003). Problematic Internet use: Proposed classification and diagnostic criteria. Depression and Anxiety, 17, 207-216. doi: 10.1002/da.10094
Tsai, C. C., & Lin, S. J. (2003). Internet Addiction of Adolescents in Taiwan: An Interview Study. CyberPsychology and Behavior, 6(6), 649-652. doi: 10.1089/109493103322725432
Walia, B., Kim, J., Ijere, I., & Sanders, S. (2022). Video Game Addictive Symptom Level, Use Intensity, and Hedonic Experience: Cross-sectional Questionnaire Study. JMIR Serious Games, 10(2), e33661. https://doi.org/10.2196/33661
Watters, C. A., Keefer, K. V., Kloosterman, P. H., Summerfeldt, L. J., & Parker, J. D. A. (2013). Examining the structure of the internet addiction test in adolescents: A bifactor approach. Computers in Human Behavior, 29(6), 2294-2302. doi: 10.1016/j.chb.2013.05.020
Wills, T. A.,Sandy, J. M.,Yaeger, A. M.,Cleary, S. D.,Shinar, O.(2001).Coping dimensions, life stress, and adolescent substance use: A latent growth analysis. Journal of Abnormal Psychology.110,309-323.
Xiuqin, H., Huimin, Z., Mengchen, L., Jinan, W., Ying, Z., & Ran, T. (2010). Mental health, personality, and parental rearing styles of adolescents with Internet addiction disorder. Cyberpsychology, Behavior and Social Networking, 13(4), 401-406. doi: 10.1089/cyber.2009.0222
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 and Behavior, 10(3), 323-329. doi: 10.1089/cpb.2006.9948
Young, K. S. (1996). Internet Addiction: The Emergence of a New Clinical Disorder. CyberPsychology & Behavior, 1, 237-244. http://www.netaddiction.com/articles/newdisorder.pdf
Young, K. S., & Rogers, R. C. (1998). The relationship between depression and internet addiction. CyberPsychology and Behavior, 1(1), 25-28. doi:10.1089/cpb.1998.1.25
Zhong, X., Sha, S., & Tao, R. (2009). Addictive status of adolescents suffering internet addiction and its influential factors. China Journal of Health Psychology, 17, 645-647.
Zhong, X., Zu, S., Tao, R., Zhao, C., Yang, F., Li, M., & Sha, P. (2011). The effect of a family-based intervention model on Internet-addicted Chinese adolescents. Social Behavior and Personality An International Journal, 39(8), 1021-1034. doi: 10.2224/sbp.2011.39.8.1021