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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 黃俊豪 | |
| dc.contributor.author | Kae-Chyang Chern | en |
| dc.contributor.author | 陳凱強 | zh_TW |
| dc.date.accessioned | 2021-05-16T16:17:56Z | - |
| dc.date.available | 2018-09-24 | |
| dc.date.available | 2021-05-16T16:17:56Z | - |
| dc.date.copyright | 2013-09-24 | |
| dc.date.issued | 2013 | |
| dc.date.submitted | 2013-08-16 | |
| dc.identifier.citation | 英文論文文獻：
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Bull World Health Organ, 80(12), 981-984. Griffiths, M. (2000). Internet addiction--time to be taken seriously?, Editorial, Addiction Research, p. 413. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&db=a9h&AN=3734905&site=ehost-live Kandell, J. J. (1998). Internet addiction on campus: the vulnerability of college students. CyberPsychology & Behavior, 1(1), 11-17. doi: 10.1089/cpb.1998.1.11 Kessler, R. C., Adler, L., Ames, M., Demler, O., Faraone, S., Hiripi, E., . . . Walters, E. E. (2005). The World Health Organization Adult ADHD Self-Report Scale (ASRS): a short screening scale for use in the general population. Psychol Med, 35(2), 245-256. Kessler, R. C., Adler, L. A., Gruber, M. J., Sarawate, C. A., Spencer, T., & Van Brunt, D. L. (2007). Validity of the World Health Organization Adult ADHD Self-Report Scale (ASRS) Screener in a representative sample of health plan members. Int J Methods Psychiatr Res, 16(2), 52-65. doi: 10.1002/mpr.208 Ko, C. H., Yen, J. Y., Chen, C. S., Chen, C. C., & Yen, C. F. (2008). Psychiatric comorbidity of internet addiction in college students: an interview study. CNS Spectr, 13(2), 147-153. 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. Arch Pediatr Adolesc Med, 163(10), 937-943. doi: 163/10/937 [pii] 10.1001/archpediatrics.2009.159 [doi] 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. Compr Psychiatry, 50(4), 378-384. doi: 10.1016/j.comppsych.2007.05.019 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. J Adolesc Health, 44(6), 598-605. doi: S1054-139X(08)00676-9 [pii] 10.1016/j.jadohealth.2008.11.011 [doi] Kroenke, K., Spitzer, R. L., & Williams, J. B. (2001). The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med, 16(9), 606-613. Lam, L. T., Peng, Z. W., Mai, J. C., & Jing, J. (2009). Factors associated with Internet addiction among adolescents. Cyberpsychol Behav, 12(5), 551-555. doi: 10.1089/cpb.2009.0036 Laudet, A. B. (2011). The case for considering quality of life in addiction research and clinical practice. Addict Sci Clin Pract, 6(1), 44-55. Lin, M. P., Ko, H. C., & Wu, J. Y. (2011). Prevalence and psychosocial risk factors associated with internet addiction in a nationally representative sample of college students in Taiwan. Cyberpsychol Behav Soc Netw, 14(12), 741-746. doi: 10.1089/cyber.2010.0574 Liu, S. I., Yeh, Z. T., Huang, H. C., Sun, F. J., Tjung, J. J., Hwang, L. C., . . . Yeh, A. W. (2011). Validation of Patient Health Questionnaire for depression screening among primary care patients in Taiwan. Compr Psychiatry, 52(1), 96-101. doi: 10.1016/j.comppsych.2010.04.013 Morahan-Martin, J., & Schumacher, P. (2000). Incidence and correlates of pathological Internet use among college students. Computers in Human Behavior, 16(1), 13-29. doi: 10.1016/s0747-5632(99)00049-7 Nalwa, K., & Anand, A. P. (2003). Internet addiction in students: a cause of concern. Cyberpsychol Behav, 6(6), 653-656. doi: 10.1089/109493103322725441 Taiwan Network Information Center. (2013). A survey on broadband usage in Taiwan: a summary report. Retrieved August 14, 2013, from http://statistics.twnic.net.tw/query/survey-query.cgi The WHOQOL Taiwan Group. (2005). The development and user manual of WHOQOL-BREF Taiwan version (2nd ed.). Taipei: The WHOQOL Taiwan version development group. Tsai, H. F., Cheng, S. H., Yeh, T. L., Shih, C. C., Chen, K. C., Yang, Y. C., & Yang, Y. K. (2009). The risk factors of Internet addiction--a survey of university freshmen. Psychiatry Res, 167(3), 294-299. doi: 10.1016/j.psychres.2008.01.015 Tsitsika, A., Critselis, E., Janikian, M., Kormas, G., & Kafetzis, D. A. (2011). Association between internet gambling and problematic internet use among adolescents. J Gambl Stud, 27(3), 389-400. doi: 10.1007/s10899-010-9223-z Weinstein, A., & Lejoyeux, M. (2010). Internet addiction or excessive internet use. American Journal of Drug and Alcohol Abuse, 36(5), 277-283. doi: 10.3109/00952990.2010.491880 Widyanto, L., & Griffiths, M. (2006). ‘Internet addiction’: a critical review. International Journal of Mental Health and Addiction, 4(1), 31-51. doi: 10.1007/s11469-006-9009-9 Yao, G., Chung, C. W., Yu, C. F., & Wang, J. D. (2002). Development and verification of validity and reliability of the WHOQOL-BREF Taiwan version. J Formos Med Assoc, 101(5), 342-351. 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. Yen, J. Y., Ko, C. H., Yen, C. F., Wu, H. Y., & Yang, M. J. (2007). The comorbid psychiatric symptoms of Internet addiction: attention deficit and hyperactivity disorder (ADHD), depression, social phobia, and hostility. J Adolesc Health, 41(1), 93-98. doi: 10.1016/j.jadohealth.2007.02.002 Yen, J. Y., Yen, C. F., Chen, C. S., Tang, T. C., & Ko, C. H. (2009). The association between adult ADHD symptoms and internet addiction among college students: the gender difference. Cyberpsychol Behav, 12(2), 187-191. doi: 10.1089/cpb.2008.0113 Young, K. (2009). Internet addiction: diagnosis and treatment considerations. Journal of Contemporary Psychotherapy, 39(4), 241-246. doi: 10.1007/s10879-009-9120-x Zahran, H. S., Zack, M. M., Vernon-Smiley, M. E., & Hertz, M. F. (2007). Health-related quality of life and behaviors risky to health among adults aged 18-24 years in secondary or higher education--United States, 2003-2005. J Adolesc Health, 41(4), 389-397. doi: 10.1016/j.jadohealth.2007.05.011 中文附錄文獻： 1. Widyanto, L. and M. Griffiths, ‘Internet addiction’: a critical review. International Journal of Mental Health and Addiction, 2006. 4(1): p. 31-51. 2. Goldberg, I. Internet addictive disorder (IAD) diagnostic criteria. 1995 [cited 2012 10/13]; Available from: http://www.psycom.net/iadcriteria.html. 3. Young, K.S., Internet addiction: the emergence of a new clinical disorder. CyberPsychology & Behavior, 1998. 1(3): p. 237-244. 4. Kandell, J.J., Internet addiction on campus: the vulnerability of college students. CyberPsychology & Behavior, 1998. 1(1): p. 11-17. 5. Griffiths, M., Internet Addiction - Time to be Taken Seriously? Addiction Research & Theory, 2000. 8(5): p. 413-418. 6. Widyanto, L. and M. McMurran, The psychometric properties of the internet addiction test. Cyberpsychol Behav, 2004. 7(4): p. 443-50. 7. Morahan-Martin, J. and P. Schumacher, Incidence and correlates of pathological Internet use among college students. Computers in Human Behavior, 2000. 16(1): p. 13-29. 8. Morahan-Martin, J., The relationship between loneliness and internet use and abuse. Cyberpsychol Behav, 1999. 2(5): p. 431-9. 9. Brenner, V., Psychology of computer use: xlvii. parameters of internet use, abuse and addiction: the first 90 days of the internet usage survey. Psychological Reports, 1997. 80(3): p. 879-882. 10. Ko, C.H., et al., Factors predictive for incidence and remission of internet addiction in young adolescents: a prospective study. Cyberpsychol Behav, 2007. 10(4): p. 545-51. 11. Lin, M.P., H.C. Ko, and J.Y. Wu, Prevalence and psychosocial risk factors associated with internet addiction in a nationally representative sample of college students in Taiwan. Cyberpsychol Behav Soc Netw, 2011. 14(12): p. 741-6. 12. Tsai, H.F., et al., The risk factors of Internet addiction--a survey of university freshmen. Psychiatry Res, 2009. 167(3): p. 294-9. 13. Ko, C.H., et al., The associations between aggressive behaviors and internet addiction and online activities in adolescents. J Adolesc Health, 2009. 44(6): p. 598-605. 14. 陳淑惠, et al., 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, 2003. 45(3): p. 279-294. 15. Ko, C.H., et al., Proposed diagnostic criteria and the screening and diagnosing tool of Internet addiction in college students. Compr Psychiatry, 2009. 50(4): p. 378-84. 16. Ko, C.H., et al., Proposed diagnostic criteria of Internet addiction for adolescents. 17. 柯志鴻, et al., Screening for Internet addiction: an empirical study on cut-off points for the Chen Internet Addiction Scale. The Kaohsiung Journal of Medical Sciences, 2005. 21(11): p. 545-551. 18. Christakis, D.A., et al., Problematic internet usage in US college students: a pilot study. BMC Med, 2011. 9: p. 77. 19. Niemz, K., M. Griffiths, and P. Banyard, Prevalence of pathological Internet use among university students and correlations with self-esteem, the General Health Questionnaire (GHQ), and disinhibition. Cyberpsychol Behav, 2005. 8(6): p. 562-70. 20. Canan, F., et al., The association between Internet addiction and dissociation among Turkish college students. Comprehensive Psychiatry, 2012. 53(5): p. 422-6. 21. Yen, J.Y., et al., The association between adult ADHD symptoms and internet addiction among college students: the gender difference. Cyberpsychol Behav, 2009. 12(2): p. 187-91. 22. Ceyhan, A.A., Predictors of problematic Internet use on Turkish university students. Cyberpsychol Behav, 2008. 11(3): p. 363-6. 23. Chou, C. and M.-C. Hsiao, Internet addiction, usage, gratification, and pleasure experience: the Taiwan college students' case. Computers & Education, 2000. 35(1): p. 65-80. 24. Douglas, K.A., et al., Results from the 1995 National College Health Risk Behavior Survey. J Am Coll Health, 1997. 46(2): p. 55-66. 25. Donovan, J.E. and R. Jessor, Structure of problem behavior in adolescence and young adulthood. Journal of Consulting and Clinical Psychology, 1985. 53(6): p. 890-904. 26. Ko, C.H., et al., Psychiatric comorbidity of internet addiction in college students: an interview study. CNS Spectr, 2008. 13(2): p. 147-53. 27. Yen, J.Y., et al., The comorbid psychiatric symptoms of Internet addiction: attention deficit and hyperactivity disorder (ADHD), depression, social phobia, and hostility. J Adolesc Health, 2007. 41(1): p. 93-8. 28. Cao, H., et al., Problematic Internet use in Chinese adolescents and its relation to psychosomatic symptoms and life satisfaction. BMC Public Health, 2011. 11: p. 802. 29. Grad, F.P., The Preamble of the Constitution of the World Health Organization. Bull World Health Organ, 2002. 80(12): p. 981-4. 30. Laudet, A.B., The case for considering quality of life in addiction research and clinical practice. Addict Sci Clin Pract, 2011. 6(1): p. 44-55. 31. Yao, G., et al., Development and verification of validity and reliability of the WHOQOL-BREF Taiwan version. J Formos Med Assoc, 2002. 101(5): p. 342-51. 32. Yao, G., J.D. Wang, and C.W. Chung, Cultural adaptation of the WHOQOL questionnaire for Taiwan. J Formos Med Assoc, 2007. 106(7): p. 592-7. 33. The WHOQOL Taiwan Group, The development and user manual of WHOQOL-BREF Taiwan version (2nd ed.). 2005, Taipei: The WHOQOL Taiwan version development group. 34. Kessler, R.C., et al., The World Health Organization Adult ADHD Self-Report Scale (ASRS): a short screening scale for use in the general population. Psychol Med, 2005. 35(2): p. 245-56. 35. Kroenke, K., R.L. Spitzer, and J.B. Williams, The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med, 2001. 16(9): p. 606-13. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/5870 | - |
| dc.description.abstract | Background: Internet use has become an integral part of our daily lives, especially for college students whose learning and social interactions involve extensive use of the Internet, which places them at high risk for Internet addiction (IA). A variety of negative health and social consequences have also been reported to be associated with IA; yet, little is known about the relationships between IA and health-related quality of life (HRQOL) among college students.
Objectives: To empirically examine the relationships of IA and IA behavioral manifestations with HRQOL among college students in Taiwan. Methods: Data from a total of 1,452 college students were collected from a self-administered survey (response rate=90.8%), using the proportional stratified cluster sampling method. IA (including 5 IA behavioral manifestations) and HRQOL were assessed by the Chen Internet Addiction Scale (CIAS) and the World Health Organization Quality of Life (WHOQOL-BREF) Taiwan version, respectively. To adjust for potential confounding effects, the multivariate linear regression analyses also accounted for participants’ background characteristics, health conditions (ADHD, depression, diagnosed physical and mental disorders), and risk behaviors. Results: The mean domain score of WHOQOL-BREF was 12.49 (SD = 1.78) in physical health, 13.16 (SD = 2.39) in the psychological domain, 13.55 (SD = 2.22) in social relationships, and 14.07 (SD = 1.96) in the environment domain. Multivariate analyses indicated that IA was significantly associated with all 4 domains of HRQOL (β = -.130, -.147, -.103, -.085, respectively), after controlling for potential confounding factors. Further, IA behavioral manifestations such as compulsivity, interpersonal and health problems, and time management problems were found significantly associated with decreased HRQOL in physical health (β=-.096, -.100, -.083, respectively); compulsivity was also negatively associated with HRQOL in the psychological (β=-.166) and environment (β=-.163) domains; lastly, interpersonal and health problems significantly affected HRQOL (β=-.088) in social relationships. Severity of depression had the strongest negative effects on HRQOL across all 4 domains. Conclusions: This study demonstrated that IA has impacted all aspects of HRQOL among college students and further illustrated how various IA behavioral manifestations might affect HRQOL in different domains. Considering that Internet use has permeated into our daily lives, more research is warranted to illuminate the mechanisms of how IA affects our HRQOL, and to facilitate the development of effective intervention programs to prevent the negative consequences of Internet misuse. | en |
| dc.description.provenance | Made available in DSpace on 2021-05-16T16:17:56Z (GMT). No. of bitstreams: 1 ntu-102-R00848004-1.pdf: 1153413 bytes, checksum: 9245824b74cdc85635c604326b2e8f73 (MD5) Previous issue date: 2013 | en |
| dc.description.tableofcontents | 誌謝 I
中文摘要 III ABSTRACT IV CONTENTS VI LIST OF TABLES VIII Chapter 1 Introduction 1 1.1 The scope of Internet addiction (IA) 1 1.2 IA and its negative health consequences among youth and adolescents 2 1.3 IA and health-related quality of life (HRQOL) 3 1.4 The current study 4 Chapter 2 Methods 5 2.1 Participants 5 2.2 Measures 5 2.2.1 Internet Addiction: Chen Internet Addiction Scale 5 2.2.2 Health-Related Quality of Life: WHOQOL-BREF 6 2.2.3 Health conditions and risk behaviors 7 2.2.4 Background characteristics 8 2.3 Procedure 8 Chapter 3 Results 10 3.1 Background characteristics, health conditions, risk behaviors, and their associations with 4 domain scores of WHOQOL-BREF 10 3.2 IA, IA behavioral manifestations, and their associations with 4 domain scores of WHOQOL-BREF 14 3.3 Multivariate linear regression models for factors associated with 4 domain scores of WHOQOL-BREF 16 Chapter 4 Discussion 20 4.1 Internet use and effects of IA on HRQOL among college students 20 4.2 Effects of IA behavioral manifestations on different domains of HRQOL 21 4.3 Effects of IA and IA comorbidities on HRQOL 23 4.4 The role of other background factors 24 4.5 Limitations and future directions 25 Chapter 5 Conclusions 27 References 28 附錄 32 壹、研究背景與動機 32 貳、文獻回顧 33 參、研究方法 39 肆、參考文獻 43 | |
| dc.language.iso | en | |
| dc.subject | 臺灣 | zh_TW |
| dc.subject | 網路成癮 | zh_TW |
| dc.subject | 健康相關生活品質 | zh_TW |
| dc.subject | 中文網路成癮量表 | zh_TW |
| dc.subject | 世界衛生組織生活品質問卷 | zh_TW |
| dc.subject | 大學生 | zh_TW |
| dc.subject | health-related quality of life (HRQOL) | en |
| dc.subject | Taiwan | en |
| dc.subject | college students | en |
| dc.subject | WHOQOL-BREF | en |
| dc.subject | Chen Internet Addiction Scale (CIAS) | en |
| dc.subject | Internet addiction | en |
| dc.title | 臺灣大學生網路成癮與健康相關生活品質之關聯性探討 | zh_TW |
| dc.title | An Exploration of the Relationships between Internet Addiction and Health-Related Quality of Life (HRQOL) among College Students in Taiwan | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 101-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 莊?智,喬芷 | |
| dc.subject.keyword | 網路成癮,健康相關生活品質,中文網路成癮量表,世界衛生組織生活品質問卷,大學生,臺灣, | zh_TW |
| dc.subject.keyword | Internet addiction,health-related quality of life (HRQOL),Chen Internet Addiction Scale (CIAS),WHOQOL-BREF,college students,Taiwan, | en |
| dc.relation.page | 45 | |
| dc.rights.note | 同意授權(全球公開) | |
| dc.date.accepted | 2013-08-16 | |
| dc.contributor.author-college | 公共衛生學院 | zh_TW |
| dc.contributor.author-dept | 健康政策與管理研究所 | zh_TW |
| 顯示於系所單位： | 健康政策與管理研究所 | |
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