請用此 Handle URI 來引用此文件：
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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 陳淑惠 | zh_TW |
| dc.contributor.advisor | Sue-Huei Chen | en |
| dc.contributor.author | 潘言 | zh_TW |
| dc.contributor.author | Yen Pan | en |
| dc.date.accessioned | 2024-07-23T16:36:45Z | - |
| dc.date.available | 2024-07-24 | - |
| dc.date.copyright | 2024-07-23 | - |
| dc.date.issued | 2024 | - |
| dc.date.submitted | 2024-07-19 | - |
| dc.identifier.citation | 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（4），276-282。
王智弘（2008）：〈網路成癮的成因分析與輔導策略〉。《輔導季刊》，44（1），1-12。https://doi.org/10.29742/gq.200803.0001 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》（碩士論文，國立臺灣大學），國立台灣大學學位論文，https://hdl.handle.net/11296/k9626a 兒童福利聯盟（2020）：〈2020年兒少網路隱私與網友互動調查報告〉。兒童福利聯盟。https://www.children.org.tw/publication_research/research_report/296 兒童福利聯盟（2023）：〈2023臺灣兒少網路安全暨網路識讀現況調查〉。兒童福利聯盟。https://www.children.org.tw/publication_research/research_report/2611 屈寧英（2003）：《高中生生活壓力，社會支持，行為模式與幸福感相關性之研究──以台北市立某女子高級中學為例》（碩士論文，國立臺灣師範大學），臺灣博碩士論文知識加值系統，https://hdl.handle.net/11296/s5mcsv 林昭偉、柯慧貞、李承傑（2023）：〈憂鬱、網路使用效果預期與女男大學生網路成癮之路徑驗證〉。《中華心理衛生學刊》，36（4），335-360。https://doi.org/10.30074/FJMH.202312_36(4).0001 施雅薇（2004）：〈國中生生活壓力，負向情緒調適，社會支持與憂鬱情緒之關聯〉（碩士論文，國立成功大學教育研究所），碩博士論文網，https://hdl.handle.net/11296/qzn9wx 柯志鴻（2004）：〈青少年網路成癮之相關因子研究〉（碩士論文，高雄醫學大學行為科學研究所），碩博士論文網，https://hdl.handle.net/11296/p7k26p 國家發展委員會（2016）。104年網路沉迷研究（AE120001）【原始數據】取自中央研究院人文社會科學研究中心調查研究專題中心學術調查研究資料庫。https://doi.org/10.6141/TW-SRDA-AE120001-1 國家發展委員會（2022）。110年網路沉迷研究（AE120003）【原始數據】取自中央研究院人文社會科學研究中心調查研究專題中心學術調查研究資料庫。https://doi.org/10.6141/TW-SRDA-AE120003-1 陳坤虎、雷庚玲、吳英璋（2005）：〈不同階段青少年之自我認同內容及危機探索之發展差異〉。《中華心理學刊》， 47（3），249-268。https://doi.org/10.6129/cjp.2005.4703.04 陳淑惠（2017）：《104年度「網路使用沉迷傾向篩檢量表之編製與調查計畫」》。衛福部。 陳淑惠（2021）：《臺北市政府衛生局108年臺北市青少年心理韌性、壓力環境、人際關係、情緒調節策略、同理心之相關研究》。 陳瑋婷、黃瓊蓉（2015）：〈臺灣學生網路成癮性別差異之後設分析〉。《中華心理衛生學刊》，28（3），351-387。https://doi.org/10.30074/FJMH.201509_28(3).0001 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。 游馥瑋（2013）：〈台灣青少年日常情感調節經驗與憂鬱之初探：情感差距，情感調節策略的影響〉（碩士論文，國立臺灣大學心理學研究所），國立台灣大學學位論文，https://doi.org/10.6342/NTU.2013.02360 黃柏蒼（2010）：〈台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〉（碩士論文，國立臺灣大學心理學研究所），國立台灣大學學位論文，https://hdl.handle.net/11296/4922xs 黃舒亭（2023）：〈青少年心理韌性與情緒調節策略對校園受凌經驗導致憂鬱之影響 〉（碩士論文，國立臺灣大學心理學研究所），國立台灣大學學位論文，https://hdl.handle.net/11296/xcz236 黃雯玲（2004）:〈青少年網路沈迷問題探討〉。見高強華（主編），《e世代創意教養》（頁154-166）。師大書苑。 劉時凱、陳建安、陳巧雲（2020）：〈從決策衝動性, 憂鬱, 焦慮, 壓力來探討大學生網路成癮行為〉。《青少年犯罪防治研究期刊》，12（1），53-81。 戴秀津（2003）： 〈高中職學生網路成癮之相關因素及其身心健康影響探討〉(碩士論文，高雄醫學大學護理學研究所)。碩博士論文網，https://hdl.handle.net/11296/th759e 韓佩凌、鄔佩麗、陳淑惠、張郁雯（2007）：〈北部高中職學生網路沈迷模式之徑路分析研究〉。《教育心理學報》，38(3)，355-373。https://doi.org/10.6251/bep.20070117 Aldao, A., Nolen-Hoeksema, S., & Schweizer, S. (2010). Emotion-regulation strategies across psychopathology: A meta-analytic review. Clinical Psychology Review, 30(2), 217-237. American Psychiatric Association. (2013). Condition for. Further Study. In Diagnostic and statistical manual of mental disorders (pp.795-798) Augustine, A. A., & Hemenover, S. H. (2009). On the relative effectiveness of affect regulation strategies: A meta-analysis. Cognition and Emotion, 23(6), 1181-1220. Bagby, R. M., Parker, J. D., & Taylor, G. J. (1994). The twenty-item Toronto Alexi-thymia Scale—I. Item selection and cross-validation of the factor structure. Journal of Psychosomatic Research, 38(1), 23-32. Bagby, R. M., Taylor, G. J., & Ryan, D. P. (1986). The measurement of alexithymia: Psychometric properties of the Schalling-Sifneos Personality Scale. Compre-hensive Psychiatry, 27(4), 287-294. Bargh, J. A., & McKenna, K. Y. (2004). The Internet and social life. Annual. Review of. Psychology, 55, 573-590. Bryant, J., & Zillmann, D. (1984). Using television to alleviate boredom and stress: Selective exposure as a function of induced excitational states. Journal of Broadcasting & Electronic Media, 28(1), 1-20. Carl, J. R., Fairholme, C. P., Gallagher, M. W., Thompson-Hollands, J., & Barlow, D. H. (2014). The effects of anxiety and depressive symptoms on daily positive emotion regulation. Journal of Psychopathology and Behavioral Assessment, 36, 224-236. Chaplin, T. M., Gillham, J. E., & Seligman, M. E. (2009). Gender, anxiety, and depressive symptoms: A longitudinal study of early adolescents. The Journal of Early Adolescence, 29(2), 307-327. Chen, B., Liu, F., Ding, S., Ying, X., Wang, L., & Wen, Y. (2017). Gender differences in factors associated with smartphone addiction: A cross-sectional study among medical college students. BMC Psychiatry, 17(1), 341. https://doi.org/10.1186/s12888-017-1503-z Chen, H.-C., Wang, J.-Y., Lin, Y.-L., & Yang, S.-Y. (2020). Association of internet addiction with family functionality, depression, self-efficacy and self-esteem among early adolescents. International Journal of Environmental Research and Public Health, 17(23), 8820. https://mdpi-res.com/d_attachment/ijerph/ijerph-17-08820/article_deploy/ijerph-17-08820.pdf?version=1606474715 Chen, Y. J., & Chen, S. H. (2019). The Taiwanese Version of Depression, Anxiety, Stress Scale – Short Form: The Psychometric Properties and its Alternative Versions. (Poster presentation). Annual Convention of Taiwan Association of Clinical Psychology, April 13-14, 2019, Taipei, Taiwan. Chiang, J.-T., Chang, F.-C., Lee, K.-W., & Hsu, S.-Y. (2019). Transitions in smartphone addiction proneness among children: The effect of gender and use patterns. Plos One, 14(5), e0217235. https://doi.org/10.1371/journal.pone.0217235 Clark, L. A., & Watson, D. (1991). Tripartite model of anxiety and depression: Psychometric evidence and taxonomic implications. Journal of Abnormal Psychology, 100(3), 316. Gao, W., Ping, S., & Liu, X. (2020). Gender differences in depression, anxiety, and stress among college students: a longitudinal study from China. Journal of Affective Disorders, 263, 292-300. Gioia, F., Rega, V., & Boursier, V. (2021). Problematic internet use and emotional dysregulation among young people: A literature review. Clinical Neuropsychiatry, 18(1), 41. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8629046/pdf/cn-18-041.pdf Goldberg, I. (1996). Internet addiction disorder. CyberPsychol. Behavior, 3(4), 403-412. Goubet, K. E., & Chrysikou, E. G. (2019). Emotion regulation flexibility: Gender differences in context sensitivity and repertoire. Frontiers in Psychology, 10, 935. Griffiths, M. (2005). A ‘components’ model of addiction within a biopsychosocial framework. Journal of Substance Use, 10(4), 191-197. Gross, J. J. (2014). Emotion regulation: Conceptual and empirical foundations. Handbook of emotion regulation, 2, 3-20. 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. Ha, Y.-M., & Hwang, W. J. (2014). Gender differences in internet addiction associated with psychological health indicators among adolescents using a national web-based survey. International Journal of Mental Health and Addiction, 12, 660-669. Hassan, T., Alam, M. M., Wahab, A., & Hawlader, M. D. (2020). Prevalence and associated factors of internet addiction among young adults in Bangladesh. Journal of the Egyptian Public Health Association, 95(1), 3. https://doi.org/10.1186/s42506-019-0032-7 Ho, R. C., Zhang, M. W. B., Tsang, T. Y., Toh, A. H., Pan, F., Lu, Y., Cheng, C., Yip, P. S., Lam, L. T., Lai, C.-M., Watanabe, H., & Mak, K.-K. (2014). The association between internet addiction and psychiatric co-morbidity: A meta-analysis. BMC Psychiatry, 14(1), 183. https://doi.org/10.1186/1471-244X-14-183 Honkalampi, K., Tolmunen, T., Hintikka, J., Rissanen, M.-L., Kylmä, J., & Laukkanen, E. (2009). The prevalence of alexithymia and its relationship with Youth Self-Report problem scales among Finnish adolescents. Comprehensive Psychiatry, 50(3), 263-268. https://doi.org/https://doi.org/10.1016/j.comppsych.2008.08.007 Hormes, J. M., Kearns, B., & Timko, C. A. (2014). Craving Facebook? Behavioral addiction to online social networking and its association with emotion regulation deficits. Addiction, 109(12), 2079-2088. Jain, A., Sharma, R., Gaur, K. L., Yadav, N., Sharma, P., Sharma, N., Khan, N., Kumawat, P., Jain, G., & Maanju, M. (2020). Study of internet addiction and its association with depression and insomnia in university students. Journal of Family Medicine and Primary Care, 9(3), 1700. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7266242/pdf/JFMPC-9-1700.pdf 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. Karacic, S., & Oreskovic, S. (2017). Internet addiction through the phase of adolescence: A questionnaire study. JMIR Ment Health, 4(2), e11. https://doi.org/10.2196/mental.5537 Karaer, Y., & Akdemir, D. (2019). Parenting styles, perceived social support and emotion regulation in adolescents with internet addiction. Comprehensive Psychiatry, 92, 22-27. https://doi.org/https://doi.org/10.1016/j.comppsych.2019.03.003 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. Khan, M. A., Shabbir, F., & Rajput, T. A. (2017). Effect of gender and physical activity on internet addiction in medical students. Pakistan Journal of Medical Sciences, 33(1), 191. 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. Ko, C.-H., Yen, J.-Y., Chen, C.-C., Chen, S.-H., Wu, K., & Yen, C.-F. (2006). Tridimensional personality of adolescents with internet addiction and substance use experience. The Canadian Journal of Psychiatry, 51(14), 887-894. Laloyaux, J., Fantini, C., Lemaire, M., Luminet, O., & Larøi, F. (2015). Evidence of contrasting patterns for suppression and reappraisal emotion regulation strategies in alexithymia. The Journal of Nervous and Mental Disease, 203(9), 709-717. Lane, R. D., Sechrest, L., Riedel, R., Shapiro, D. E., & Kaszniak, A. W. (2000). Pervasive emotion recognition deficit common to alexithymia and the repressive coping style. Psychosomatic Medicine, 62(4), 492-501. Larsen, R. J. (2000). Toward a science of mood regulation. Psychological Inquiry, 11(3), 129-141. Larsen, R. J., & Prizmic, Z. (2004). Affect regulation. Handbook of self-regulation: Research, theory, and applications, 40-61. Levant, R. F. (1993). Men, Emotions, and Intimacy. PsycCRITIQUES, 38(8). Levant, R. F., Hall, R. J., Williams, C. M., & Hasan, N. T. (2009). Gender differences in alexithymia. Psychology of Men & Masculinity, 10(3), 190. Li, S., Zhang, B., Guo, Y., & Zhang, J. (2015). The association between alexithymia as assessed by the 20-item Toronto Alexithymia Scale and depression: A meta-analysis. Psychiatry Research, 227(1), 1-9. Liang, L., Zhou, D., Yuan, C., Shao, A., & Bian, Y. (2016). Gender differences in the relationship between internet addiction and depression: A cross-lagged study in Chinese adolescents. Computers in Human Behavior, 63, 463-470. https://doi.org/https://doi.org/10.1016/j.chb.2016.04.043 Liang, L., Zhu, M., Dai, J., Li, M., & Zheng, Y. (2021). The mediating roles of emotional regulation on negative emotion and internet addiction among Chinese adolescents from a development perspective. Frontiers in Psychiatry, 12, 608317. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8062778/pdf/fpsyt-12-608317.pdf Lin, M.-P., Wu, J. Y.-W., You, J., Hu, W.-H., & Yen, C.-F. (2018). Prevalence of internet addiction and its risk and protective factors in a representative sample of senior high school students in Taiwan. Journal of Adolescence, 62, 38-46. https://doi.org/https://doi.org/10.1016/j.adolescence.2017.11.004 Lin, Y.-H., & Gau, S. S.-F. (2013). Association between morningness–eveningness and the severity of compulsive Internet use: the moderating role of gender and parenting style. Sleep Medicine, 14(12), 1398-1404. https://doi.org/https://doi.org/10.1016/j.sleep.2013.06.015 Lonigan, C. J., Carey, M. P., & Finch, A. (1994). Anxiety and depression in children and adolescents: negative affectivity and the utility of self-reports. Journal of Consulting and Clinical Psychology, 62(5), 1000. Lu, G.-L., Ding, Y.-M., Zhang, Y.-M., Huang, H.-T., Liang, Y.-P., & Chen, C.-R. (2021). The correlation between mobile phone addiction and coping style among Chinese adolescents: a meta-analysis. Child and Adolescent Psychiatry and Mental Health, 15, 1-11. Lyvers, M., Senturk, C., & Thorberg, F. A. (2021). Alexithymia, impulsivity and negative mood in relation to internet addiction symptoms in female university students. Australian Journal of Psychology, 73(4), 548-556. Mahapatra, A., & Sharma, P. (2018). Association of Internet addiction and alexithymia–A scoping review. Addictive Behaviors, 81, 175-182. Mari, E., Biondi, S., Varchetta, M., Cricenti, C., Fraschetti, A., Pizzo, A., Barchielli, B., Roma, P., Vilar, M. M., Sala, F. G., Giannini, A. M., & Quaglieri, A. (2023). Gender differences in internet addiction: A study on variables related to its possible development. Computers in Human Behavior Reports, 9, 100247. https://doi.org/https://doi.org/10.1016/j.chbr.2022.100247 Martínez-Sánchez, F., Ato-García, M., & Ortiz-Soria, B. (2003). Alexithymia—state or trait? The Spanish Journal of Psychology, 6(1), 51-59. McLean, C. P., & Anderson, E. R. (2009). Brave men and timid women? A review of the gender differences in fear and anxiety. Clinical Psychology Review, 29(6), 496-505. McLean, C. P., Asnaani, A., Litz, B. T., & Hofmann, S. G. (2011). Gender differences in anxiety disorders: prevalence, course of illness, comorbidity and burden of illness. Journal of Psychiatric Research, 45(8), 1027-1035. McRae, K., & Gross, J. J. (2020). Emotion regulation. Emotion, 20(1), 1. Mikulincer, M., Shaver, P. R., & Pereg, D. (2003). Attachment theory and affect regulation: The dynamics, development, and cognitive consequences of attachment-related strategies. Motivation and Emotion, 27(2), 77-102. Mottahedin, M., Dortaj, F., Ghaemi, F., & Ghorban Jahromi, R. (2023). Causal model of problematic internet use based on basic psychological needs by mediating emotion regulation and avoidance coping strategies. New Media Studies, 9(34), 103-179. Mueser, K. T., Drake, R. E., & Wallach, M. A. (1998). Dual diagnosis: A review of etiological theories. Addictive Behaviors, 23(6), 717-734. Neumann, A., van Lier, P. A., Gratz, K. L., & Koot, H. M. (2010). Multidimensional assessment of emotion regulation difficulties in adolescents using the difficulties in emotion regulation scale. Assessment, 17(1), 138-149. Nolen-Hoeksema, S. (1987). Sex differences in unipolar depression: Evidence and theory. Psychological Bulletin, 101(2), 259. Nolen-Hoeksema, S., & Aldao, A. (2011). Gender and age differences in emotion regulation strategies and their relationship to depressive symptoms. Personality and Individual Differences, 51(6), 704-708. Oktuğ, Z. (2012). Gender differences in internet addiction and tendency to express emotions. Online Journal of Counseling & Education, 1(4). Orsolini, L. (2020). Unable to describe my feelings and emotions without an addiction: The interdependency between alexithymia and addictions. Frontiers in Psychiatry, 11, 543346. Ostinelli, E. G., Zangani, C., Giordano, B., Maestri, D., Gambini, O., D’Agostino, A., Furukawa, T. A., & Purgato, M. (2021). Depressive symptoms and depression in individuals with internet gaming disorder: A systematic review and meta-analysis. Journal of Affective Disorders, 284, 136-142. https://air.unimi.it/bitstream/2434/848082/2/Ostinelli%20et%20al.%20-%202021%20-%20Depressive%20symptoms%20and%20depression%20in%20individuals%20with%20internet%20gaming%20disorder%20A%20systematic%20review%20and%20meta-a.pdf Parker, G., & Brotchie, H. (2010). Gender differences in depression. International Review of Psychiatry, 22(5), 429-436. Parkinson, B., & Totterdell, P. (1999). Classifying affect-regulation strategies. Cognition & Emotion, 13(3), 277-303. Pavlidi, P., Kokras, N., & Dalla, C. (2022). Sex differences in depression and anxiety. In Sex Differences in Brain Function and Dysfunction (pp. 103-132). Springer. Preece, D. A., Mehta, A., Becerra, R., Chen, W., Allan, A., Robinson, K., Boyes, M., Hasking, P., & Gross, J. J. (2022). Why is alexithymia a risk factor for affective disorder symptoms? The role of emotion regulation. Journal of Affective Disorders, 296, 337-341. Preece, D. A., Mehta, A., Petrova, K., Sikka, P., Bjureberg, J., Becerra, R., & Gross, J. J. (2023). Alexithymia and emotion regulation. Journal of Affective Disorders, 324, 232-238. Rafiepoor, A. (2019). The role of anticipation of anxiety and emotion regulation among adolescents with internet addiction. International Journal of Applied Behavioral Sciences, 6(1), 40-46. Rippere, V. (1977). What's the thing to do when you're feeling depressed: A pilot study. Behaviour Research and Therapy. Saikia, A. M., Das, J., Barman, P., & Bharali, M. D. (2019). Internet addiction and its relationships with depression, anxiety, and stress in urban adolescents of Kamrup District, Assam. Journal of Family & Community Medicine, 26(2), 108. Sanchis-Sanchis, A., Grau, M. D., Moliner, A.-R., & Morales-Murillo, C. P. (2020). Effects of age and gender in emotion regulation of children and adolescents. Frontiers in Psychology, 11, 946. 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. Shaffer, H. J., LaPlante, D. A., LaBrie, R. A., Kidman, R. C., Donato, A. N., & Stanton, M. V. (2004). Toward a syndrome model of addiction: Multiple expressions, common etiology. Harvard Review of Psychiatry, 12(6), 367-374. Shorey, S., Ng, E. D., & Wong, C. H. (2022). Global prevalence of depression and elevated depressive symptoms among adolescents: A systematic review and meta‐analysis. British Journal of Clinical Psychology, 61(2), 287-305. Sifneos, P. E. (1972). Short-term psychotherapy and emotional crisis. Harvard University Press. Springstein, T., & English, T. (2023). Studying emotion regulation success in daily life: Distinctions from maladaptive regulation and dysregulation. Personality and Social Psychology Review, 10888683231199140. Su, W., Han, X., Yu, H., Wu, Y., & Potenza, M. N. (2020). Do men become addicted to internet gaming and women to social media? A meta-analysis examining gender-related differences in specific internet addiction. Computers in Human Behavior, 113, 106480. Swart, M., Kortekaas, R., & Aleman, A. (2009). Dealing with feelings: characterization of trait alexithymia on emotion regulation strategies and cognitive-emotional processing. Plos One, 4(6), e5751. Tamres, L. K., Janicki, D., & Helgeson, V. S. (2002). Sex differences in coping behavior: A meta-analytic review and an examination of relative coping. Personality and Social Psychology Review, 6(1), 2-30. 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. Taylor, G. J. (1984). Alexithymia: concept, measurement, and implications for treatment. The American journal of psychiatry, 141(6), 725-732. Taylor, G. J., Ryan, D., & Bagby, M. (1985). Toward the development of a new self-report alexithymia scale. Psychotherapy and Psychosomatics, 44(4), 191-199. Taylor-Clift, A., Morris, B., Rottenberg, J., & Kovacs, M. (2011). Emotion-modulated startle in anxiety disorders is blunted by co-morbid depressive episodes. Psychological Medicine, 41(1), 129-139. 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. van der Cruijsen, R., Murphy, J., & Bird, G. (2019). Alexithymic traits can explain the association between puberty and symptoms of depression and anxiety in adolescent females. Plos One, 14(1), e0210519. https://doi.org/10.1371/journal.pone.0210519 Wang, S., Xia, L., Wang, J., Yuan, X., Shi, Y., Wang, X., Li, X., Hu, Y., Zhang, Y., & Yang, Y. (2022). Prevalence and clinical correlates of internet addiction symptoms and their association with quality of life in adolescents with major depressive disorder: a multicenter cross-sectional study. Frontiers in Psychiatry, 13, 819704. Widyanto, L., & Griffiths, M. (2006). ‘Internet addiction’: a critical review. International Journal of Mental Health and Addiction, 4, 31-51. Yan-Jun, H., Wu, S.-I., & Yu-Hsuan, L. (2020). 青少年網路成癮. Taiwan Gong Gong Wei Sheng Za Zhi, 39(6), 599-601. 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. Yoon, K. L., & Joormann, J. (2012). Stress reactivity in social anxiety disorder with and without comorbid depression. Journal of Abnormal Psychology, 121(1), 250. Yoon, S., & Kim, Y.-K. (2018). Gender differences in depression. Understanding Depression: Volume 1. Biomedical and Neurobiological Background, 297-307. Young, K. S. (1998). 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). The research and controversy surrounding internet addiction. Cyberpsychology & Behavior, 2(5), 381-383. Young, K. S. (2004). Internet addiction: A new clinical phenomenon and its consequences. American Behavioral Scientist, 48(4), 402-415. Young, K. S., & de Abreu, C. N. (2007). Closing thoughts and future implications. Internet addiction: A handbook and guide to evaluation and treatment, 267-273. Young, K. S., & Rodgers, R. C. (1998). Internet addiction: Personality traits associated with its development. In 69th annual meeting of the Eastern Psychological Association (pp. 40-50). Young, K. S., & Rogers, R. C. (1998). The relationship between depression and Internet addiction. Cyberpsychology & Behavior, 1(1), 25-28. Zimmermann, P., & Iwanski, A. (2014). Emotion regulation from early adolescence to emerging adulthood and middle adulthood: Age differences, gender differences, and emotion-specific developmental variations. International Journal of Behavioral Development, 38(2), 182-194. https://doi.org/10.1177/0165025413515405 | - |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/93271 | - |
| dc.description.abstract | 前言：隨著網路的發達，電腦與3C產品的使用有越來越年輕化的趨勢，在校園中也觀察到越來越多的學生陷入網路過度使用，以及伴隨而來的負面影響。過去研究多認為網路使用可能是個體為了填補心理需求或減輕痛苦的因應策略之一，而此策略的選擇可能與個體的情緒狀態以及慣用的情感調節傾向有關。因此，本研究旨在探討生活壓力存在與否，台灣國高中生的述情障礙特質與網路成癮之間的關聯性差異，並且納入焦慮與憂鬱症狀以及兩大類（消極與積極）情感調節策略，以探討兩變項對於述情障礙預測網路成癮路徑的影響。材料與方法：共2007名12至20歲的青少年完成自陳式量表，主要以SPSS25.0 PROCESS model 6之序列中介模型，探討述情障礙、焦慮和憂鬱症狀、積極和消極情感調節策略以及網路成癮之關聯性，並分別探討性別與壓力狀態對其路徑之影響。研究結果：根據CIAS-10網路沉迷篩檢切截點建議，台北國高中職生網路成癮盛行率17.04％。在具有生活壓力的狀況下，述情障礙可依序透過情緒症狀（憂鬱或焦慮）以及消極情感調節策略，預測較高的網路成癮，積極情感調節策略則不具影響力，但此結果具性別差異，憂鬱症狀與消極調節策略甚至可完全解釋青少女述情障礙預測網路成癮的變異量。而在自評沒有生活壓力的狀況下，青少年的述情障礙則是僅能透過焦慮症狀與積極情感調節策略預測網路成癮，但青少女則否。結論：對於經歷壓力的學生，尤其是女學生，減少消極策略的使用可能是有效防治網路成癮的策略，男學生則還需多針對其述情障礙做介入，培養其區分和描述情緒的能力；而對於並未遭遇壓力的男學生來說，發展並使用較多積極調節策略可能是較有效預防網路成癮的方法。此發現可作為學校制定預防和介入計劃的參考，並針對不同受壓狀況或性別做出個別化的方案。 | zh_TW |
| dc.description.abstract | With the advancement of the internet, the use of computers and electronic devices among younger individuals has become increasingly prevalent. Observations in educational settings reveal a growing number of students falling into the trap of excessive internet usage, accom-panied by adverse effects. Past research has suggested that internet usage may serve as a coping mechanism for individuals to fulfill psychological needs or alleviate distress, with choices influenced by emotion and habitual affect regulation tendencies. Therefore, this study aimed to investigate differences in the relationship between alexithymia and internet addiction among Taiwanese students with or without recent life stressors. The study incorporated anx-iety or depressive symptoms and two categories of affect regulation strategies (passive and active) to explore the impact on the pathway predicting internet addiction. Methods: A total of 2007 adolescents aged 12 to 20 completed self-report questionnaires. Using the SPSS 25.0 PROCESS model 6 for serial mediation analysis, the study examined the relationships of alexithymia, anxiety and depression symptoms, active and passive affect regulation strate-gies, and internet addiction. Additionally, the impact of gender and stress status on these pathways was explored. Results: According to the CIAS-10 internet addiction screening cut-off point, the prevalence rate of internet addiction among junior and senior high school students was 17.04%. Of the students without the presence of recent life stressors, alexi-thymia predicted higher internet addiction through the mediation of emotional symptoms (de-pression and anxiety) and passive affect regulation strategies, while active affect regulation strategies did not. Moreover, there existed gender differences: for girls, depressive symptoms and passive affect regulation strategies completely explained the variance in internet addiction predicted by alexithymia. In contrast, for boys, alexithymia predicted internet addiction only through anxiety symptoms and active affect regulation strategies. Discussions and Conclu-sions: For students experiencing stress, especially girls, reducing the use of passive strate-gies may be an effective approach to prevent internet addiction. For boys, interventions should focus on reducing alexithymia by developing their ability to identify and describe emotions. For boys without stress, developing and using more active regulation strategies may be a more effective method to prevent internet addiction. These findings could serve as valuable references for schools in developing Internet addiction prevention and intervention programs tailored to gender differences as well as individuals with or without recent stress. | en |
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| dc.description.tableofcontents | 誌謝 i
摘要 iii Abstract v 表次 ix 圖次 xi 第一章 緒論 1 第一節、 網路成癮 2 第二節、 述情障礙 6 第三節、 情感調節 8 第四節、 性別效果 11 第二章 研究方法 19 第一節、 研究對象與工具 19 第二節、 研究程序 25 第三節、 統計分析程序 26 第三章 研究結果 27 第一節、 描述統計與相關分析 27 第二節、 差異檢定與分析 28 第三節、 預測效果檢驗 37 第四章 綜合討論 53 第五章 研究貢獻與限制 61 參考文獻 65 附錄 85 附錄一 參與研究同意書 85 附錄二 中學家長版知情同意書 89 附錄三 家庭狀況與生活壓力調查 92 附錄四 情感調節策略量表 94 附錄五 網路使用習慣調查 96 附錄六 憂鬱、焦慮與壓力量表 98 附錄七 述情障礙量表 101 附錄八 補充圖表 103 | - |
| dc.language.iso | zh_TW | - |
| dc.title | 壓力下青少年的網路成癮：憂鬱、焦慮與情感調節之中介角色 | zh_TW |
| dc.title | Exploring Internet Addiction in Adolescents under Stress: The Mediating Roles of Depression, Anxiety and Affect Regulation | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 112-2 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.oralexamcommittee | 林旻沛;洪福建 | zh_TW |
| dc.contributor.oralexamcommittee | Min-Pei Lin;Fu-Jian Hong | en |
| dc.subject.keyword | 網路成癮,述情障礙,壓力,憂鬱,青少年, | zh_TW |
| dc.subject.keyword | internet addiction,alexithymia,Depression,teenagers, | en |
| dc.relation.page | 105 | - |
| dc.identifier.doi | 10.6342/NTU202401833 | - |
| dc.rights.note | 同意授權(限校園內公開) | - |
| dc.date.accepted | 2024-07-19 | - |
| dc.contributor.author-college | 理學院 | - |
| dc.contributor.author-dept | 心理學系 | - |
| dc.date.embargo-lift | 2029-07-16 | - |
| 顯示於系所單位： | 心理學系 | |
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