請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/99855完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 郭柏秀 | zh_TW |
| dc.contributor.advisor | Po-Hsiu Kuo | en |
| dc.contributor.author | 徐智罡 | zh_TW |
| dc.contributor.author | Chih-Kang Hsu | en |
| dc.date.accessioned | 2025-09-19T16:06:13Z | - |
| dc.date.available | 2025-09-20 | - |
| dc.date.copyright | 2025-09-19 | - |
| dc.date.issued | 2025 | - |
| dc.date.submitted | 2025-07-09 | - |
| dc.identifier.citation | 1. Gottfried, M.A., Chronic Absenteeism and Its Effects on Students’ Academic and Socioemotional Outcomes. Journal of Education for Students Placed at Risk (JESPAR), 2014. 19(2): p. 53-75.
2. Berg, I., K. Nichols, and C. Pritchard, School phobia--its classification and relationship to dependency. J Child Psychol Psychiatry, 1969. 10(2): p. 123-41. 3. Heyne, D., et al., School refusal and anxiety in adolescence: non-randomized trial of a developmentally sensitive cognitive behavioral therapy. J Anxiety Disord, 2011. 25(7): p. 870-8. 4. Elliott, J.G. and M. Place, Practitioner Review: School refusal: developments in conceptualisation and treatment since 2000. J Child Psychol Psychiatry, 2019. 60(1): p. 4-15. 5. Diagnostic and statistical manual of mental disorders, 4th ed. Diagnostic and statistical manual of mental disorders, 4th ed. 1994, Arlington, VA, US: American Psychiatric Publishing, Inc. xxvii, 886-xxvii, 886. 6. Granell de Aldaz, E., et al., Estimating the prevalence of school refusal and school-related fears. A Venezuelan sample. J Nerv Ment Dis, 1984. 172(12): p. 722-9. 7. 吾心文教基金會, 拒學資料庫. 吾心文教基金會. 8. Miller LC, J.A., Chronic absenteeism in Virginia and the challenged school divisions: a descriptive analysis of patterns and correlates. 2018: University of Virginia EdPolicy Works. 9. Diagnostic and Statistical Manual for Mental Disorders, 5th edition (DSM?5). 2013: American Psychiatric Publishing. 10. Organization, W.H., International Classification of Diseases, 10th Revision (ICD-10). 2016, World Health Organization: Geneva. 11. Egger, H.L., E.J. Costello, and A. Angold, School refusal and psychiatric disorders: a community study. J Am Acad Child Adolesc Psychiatry, 2003. 42(7): p. 797-807. 12. Gonzálvez, C., et al., Testing the Functional Profiles of School Refusal Behavior and Clarifying Their Relationship With School Anxiety. Front Public Health, 2020. 8: p. 598915. 13. Walter, H.J., et al., Clinical Practice Guideline for the Assessment and Treatment of Children and Adolescents With Anxiety Disorders. J Am Acad Child Adolesc Psychiatry, 2020. 59(10): p. 1107-1124. 14. Chellappa, S.L. and D. Aeschbach, Sleep and anxiety: From mechanisms to interventions. Sleep Med Rev, 2022. 61: p. 101583. 15. Urrila, A.S., et al., Sleep in adolescent depression: physiological perspectives. Acta Physiol (Oxf), 2015. 213(4): p. 758-77. 16. Momoi, M., et al., Sleep rhythm disturbances in school refusers. Jpn J Psychiatry Neurol, 1992. 46(1): p. 207-8. 17. Baglioni, C., et al., Sleep and mental disorders: A meta-analysis of polysomnographic research. Psychol Bull, 2016. 142(9): p. 969-990. 18. Hertenstein, E., et al., Insomnia as a predictor of mental disorders: A systematic review and meta-analysis. Sleep Med Rev, 2019. 43: p. 96-105. 19. Chellappa, S.L., C.J. Morris, and F. Scheer, Circadian misalignment increases mood vulnerability in simulated shift work. Sci Rep, 2020. 10(1): p. 18614. 20. Kowalchuk, A., S.J. Gonzalez, and R.J. Zoorob, Anxiety Disorders in Children and Adolescents. Am Fam Physician, 2022. 106(6): p. 657-664. 21. Kessler, R.C., S. Avenevoli, and K. Ries Merikangas, Mood disorders in children and adolescents: an epidemiologic perspective. Biol Psychiatry, 2001. 49(12): p. 1002-14. 22. Thapar, A., et al., Depression in adolescence. Lancet, 2012. 379(9820): p. 1056-67. 23. Agostini, A. and S. Centofanti, Normal Sleep in Children and Adolescence. Child Adolesc Psychiatr Clin N Am, 2021. 30(1): p. 1-14. 24. Carskadon, M.A., et al., Intrinsic circadian period of adolescent humans measured in conditions of forced desynchrony. Neuroscience Letters, 1999. 260(2): p. 129-132. 25. Wallace, M.L., et al., Age Trends in Actigraphy and Self-Report Sleep Across the Life Span: Findings From the Pittsburgh Lifespan Sleep Databank. Psychosom Med, 2022. 84(4): p. 410-420. 26. Valles, E. and M. Oddy, The influence of a return to school on the long-term adjustment of school refusers. J Adolesc, 1984. 7(1): p. 35-44. 27. Prabhuswamy, M., et al., Outcome of children with school refusal. Indian J Pediatr, 2007. 74(4): p. 375-9. 28. Kaplan, K.A., et al., Evaluating sleep in bipolar disorder: comparison between actigraphy, polysomnography, and sleep diary. Bipolar Disord, 2012. 14(8): p. 870-9. 29. Benz, F., et al., How many hours do you sleep? A comparison of subjective and objective sleep duration measures in a sample of insomnia patients and good sleepers. J Sleep Res, 2023. 32(2): p. e13802. 30. Walia, H.K. and R. Mehra, Practical aspects of actigraphy and approaches in clinical and research domains. Handb Clin Neurol, 2019. 160: p. 371-379. 31. Smith, M.T., et al., Use of Actigraphy for the Evaluation of Sleep Disorders and Circadian Rhythm Sleep-Wake Disorders: An American Academy of Sleep Medicine Clinical Practice Guideline. J Clin Sleep Med, 2018. 14(7): p. 1231-1237. 32. Marino, M., et al., Measuring sleep: accuracy, sensitivity, and specificity of wrist actigraphy compared to polysomnography. Sleep, 2013. 36(11): p. 1747-55. 33. Sadeh, A., The role and validity of actigraphy in sleep medicine: an update. Sleep Med Rev, 2011. 15(4): p. 259-67. 34. Ancoli-Israel, S., et al., The role of actigraphy in the study of sleep and circadian rhythms. Sleep, 2003. 26(3): p. 342-92. 35. Phillips, A.J.K., et al., Irregular sleep/wake patterns are associated with poorer academic performance and delayed circadian and sleep/wake timing. Sci Rep, 2017. 7(1): p. 3216. 36. Brooks, A.T., et al., Sleep Regularity Index in Patients with Alcohol Dependence: Daytime Napping and Mood Disorders as Correlates of Interest. Int J Environ Res Public Health, 2020. 17(1). 37. Radloff, L.S., The CES-D Scale:A Self-Report Depression Scale for Research in the General Population. Applied Psychological Measurement, 1977. 1(3): p. 385-401. 38. Yang, H.J., et al., Using the CES-D in a two-phase survey for depressive disorders among nonreferred adolescents in Taipei: a stratum-specific likelihood ratio analysis. J Affect Disord, 2004. 82(3): p. 419-30. 39. Achenbach, T.M. and L.A. Rescorla, Manual for the ASEBA School-Age Forms & Profiles. 2001, Burlington, VT: University of Vermont, Research Center for Children, Youth, & Families. 40. Yang, H.J., et al., Competence and behavioral/emotional problems among Taiwanese adolescents as reported by parents and teachers. J Am Acad Child Adolesc Psychiatry, 2000. 39(2): p. 232-9. 41. Salk, R.H., J.S. Hyde, and L.Y. Abramson, Gender differences in depression in representative national samples: Meta-analyses of diagnoses and symptoms. Psychol Bull, 2017. 143(8): p. 783-822. 42. Buelt, A., Management of Major Depression: Guidelines From the VA/DoD. Am Fam Physician, 2023. 107(3): p. 323-325. 43. Barowsky, J. and T.L. Schwartz, An Evidence-Based Approach to Augmentation and Combination Strategies for: Treatment-Resistant Depression. Psychiatry (Edgmont), 2006. 3(7): p. 42-61. 44. Hasan, F., et al., Comparative efficacy of hypnotics in young and middle-aged adults with insomnia: a systematic review and network meta-analysis. Sleep Breath, 2023. 27(5): p. 2021-2030. 45. Fatima, Y., S.A.R. Doi, and A. Al Mamun, Sleep problems in adolescence and overweight/obesity in young adults: is there a causal link? Sleep Health, 2018. 4(2): p. 154-159. 46. Hori, H., et al., 24-h activity rhythm and sleep in depressed outpatients. J Psychiatr Res, 2016. 77: p. 27-34. 47. Walsh, R.F.L., et al., Sleep regularity in adolescents: Associations with sleep, rest-activity indices, and prospective substance use and depression. J Sleep Res, 2025: p. e14468. 48. Di Vincenzo, C., et al., School refusal behavior in children and adolescents: a five-year narrative review of clinical significance and psychopathological profiles. Ital J Pediatr, 2024. 50(1): p. 107. 49. Li, A., et al., A Systematic Review of Somatic Symptoms in School Refusal. Psychosom Med, 2021. 83(7): p. 715-723. 50. Li, A., et al., Somatic symptoms in school refusal: a qualitative study among children, adolescents, and their parents during the COVID-19 pandemic. Eur Child Adolesc Psychiatry, 2024. 33(7): p. 2243-2251. 51. Windred, D.P., et al., Sleep regularity is a stronger predictor of mortality risk than sleep duration: A prospective cohort study. Sleep, 2024. 47(1). 52. Wong, P.M., et al., Sleep regularity and body mass index: findings from a prospective study of first-year college students. Sleep Adv, 2022. 3(1): p. zpac004. 53. Meyer, N., et al., The sleep-circadian interface: A window into mental disorders. Proc Natl Acad Sci U S A, 2024. 121(9): p. e2214756121. 54. Melvin, G.A., et al., Augmenting Cognitive Behavior Therapy for School Refusal with Fluoxetine: A Randomized Controlled Trial. Child Psychiatry Hum Dev, 2017. 48(3): p. 485-497. 55. Doobay, A.F., School refusal behavior associated with separation anxiety disorder: A cognitive-behavioral approach to treatment. Psychology in the Schools, 2008. 45(4): p. 261-272. 56. Richardson, K., Family Therapy for Child and Adolescent School Refusal. Australian and New Zealand Journal of Family Therapy, 2016. 37(4): p. 528-546. 57. Beidas, R., et al., Cognitive-Behavioral Treatment of Anxious Youth with Comorbid School Refusal: Clinical Presentation and Treatment Response. Psychological Topics (psihologijske_teme@ffri.hr); Vol.19 No.2, 2010. 19. 58. Auger, R.R., et al., Clinical Practice Guideline for the Treatment of Intrinsic Circadian Rhythm Sleep-Wake Disorders: Advanced Sleep-Wake Phase Disorder (ASWPD), Delayed Sleep-Wake Phase Disorder (DSWPD), Non-24-Hour Sleep-Wake Rhythm Disorder (N24SWD), and Irregular Sleep-Wake Rhythm Disorder (ISWRD). An Update for 2015: An American Academy of Sleep Medicine Clinical Practice Guideline. J Clin Sleep Med, 2015. 11(10): p. 1199-236. 59. Bonnar, D., et al., Sleep Interventions Designed to Improve Athletic Performance and Recovery: A Systematic Review of Current Approaches. Sports Med, 2018. 48(3): p. 683-703. 60. Blake, M.J., et al., Who benefits from adolescent sleep interventions? Moderators of treatment efficacy in a randomized controlled trial of a cognitive-behavioral and mindfulness-based group sleep intervention for at-risk adolescents. J Child Psychol Psychiatry, 2018. 59(6): p. 637-649. 61. Roberts, R.E., P.M. Lewinsohn, and J.R. Seeley, Screening for adolescent depression: a comparison of depression scales. J Am Acad Child Adolesc Psychiatry, 1991. 30(1): p. 58-66. 62. Garrison, C.Z., et al., The CES-D as a screen for depression and other psychiatric disorders in adolescents. J Am Acad Child Adolesc Psychiatry, 1991. 30(4): p. 636-41. | - |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/99855 | - |
| dc.description.abstract | 背景:拒學行為為一種常見於青少年的功能性缺課表現,伴隨顯著的焦慮、憂鬱與身體化症狀。儘管臨床觀察指出其與睡眠問題高度相關,過往研究大多依賴主觀報告,缺乏客觀睡眠資料的實證支持。
方法:本研究招募90位13至18歲青少年,依學校出席率與精神科診斷分為拒學組(SR)、焦慮/憂鬱組(AD)與健康對照組(HC)。使用腕動計(actigraphy)連續紀錄7日睡眠資料,取得總睡眠時間、睡眠後覺醒時間(WASO)、睡眠效率與睡眠規律指數(SRI)。心理症狀評估採用 CES-D 與 CBCL DSM導向量表。統計方法包含變異數分析、事後比較與邏輯斯迴歸。 結果:拒學組在SRI、WASO與睡眠效率上均顯著劣於其他兩組,且CES-D與CBCL得分亦明顯較高。邏輯斯迴歸指出,SRI較低以及身體化症狀較高為預測拒學行為的兩項重要指標。 結論:本研究提供首度使用客觀睡眠指標系統性驗證拒學行為與睡眠規律失調間關聯之證據。結果支持將睡眠規律性納入拒學風險評估與介入策略,尤其建議在傳統焦慮與憂鬱治療之外,進一步整合睡眠節律重建與行為節律支持之介入模式。 | zh_TW |
| dc.description.abstract | Background: School refusal in adolescents is a complex and heterogeneous phenomenon, often accompanied by anxiety and depressive symptoms. Although sleep disturbances are frequently observed in clinical settings, few studies have incorporated objective sleep assessments in this population.
Methods: A total of 90 adolescents aged 13 to 18 were recruited and categorized into three groups: school refusal (SR), anxiety/depression (AD), and healthy controls (HC), based on clinical and school attendance records. Psychological symptoms were assessed using the CES-D and six DSM-oriented subscales of the Child Behavior Checklist (CBCL). Sleep parameters were objectively measured using wrist-worn actigraphy, from which sleep duration, wake after sleep onset (WASO), sleep efficiency, and Sleep Regularity Index (SRI) were extracted. Data analysis was conducted using R, including group comparisons, post-hoc analysis, and logistic regression. Results: The SR group demonstrated significantly lower SRI, higher WASO, and lower sleep efficiency compared to the other groups, along with elevated scores on the CES-D and CBCL subscales. Logistic regression identified lower SRI and higher somatic complaints as predictors of school refusal. Conclusions: Adolescents with school refusal exhibited marked irregularity in sleep–wake rhythms and impaired sleep quality. These disturbances were not fully explained by emotional symptoms. The Sleep Regularity Index (SRI) may serve as a behavioral marker for identifying school refusal. Future intervention models should integrate both emotional and chronobiological dimensions to improve treatment outcomes. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2025-09-19T16:06:13Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2025-09-19T16:06:13Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | 論文口試委員會審定書 1
謝辭 2 中文摘要 3 Abstract 4 目 次 5 圖 次 8 表 次 10 附 錄 次 11 Chapter 1 Introduction 12 1.1 The epidemiology and characteristics of school refusal behaviors 12 1.2 High comorbidity of depressive and anxiety disorder in adolescents with school refusal behaviors 13 1.3 Sleep problems play a significant role in anxiety and depressive disorders, still an unknown role in school refusal behaviors 14 1.4 Adolescence: A period marked by the emergence of anxiety and depressive disorders, and significant sleep alterations 16 1.5 Using actigraphy to collect objective and multiple days sleep parameters 18 1.6 Aims of this study 19 Chapter 2 Methods 22 2.1 Participants 22 2.1.1 School Refusal Group (SR Group) 22 2.1.2 Anxiety/Depression Group (AD Group) 23 2.1.3 Healthy Control Group (HC Group) 23 2.1.4 Sample Size Justification 23 2.1.5 Ethical Statement 24 2.2 Measures 24 2.2.1 Demographic variables 24 2.2.2 Current psychiatric medication 25 2.2.3 Actigraphy recording 25 2.2.3.1 Devices 25 2.2.3.2 Wearing Protocol 25 2.2.3.3 Data Extraction and Processing 25 2.2.3.4 Sleep duration 26 2.2.3.5 Wake After Sleep Onset (WASO) 26 2.2.3.6 Sleep Efficiency 27 2.2.3.7 Sleep Regularity Index (SRI) 27 2.2.3.8 Inclusion Criteria and Quality Control 29 2.2.4 Centers for Epidemiological Studies Depression Scale (CES-D) 29 2.2.5 Child Behavioral Checklist for ages 6-18 (CBCL 6-18) 30 2.3 Statistical Analysis 31 Chapter 3 Results 35 3.1 Participants characteristics and current psychiatric medication 35 3.2 Sleep parameters from actigraphy of SR, AD and HC groups 36 3.3 CES-D group differences 36 3.4 Comparison of six CBCL DSM-oriented scales 37 3.5 Odds ratios of selected variables associated with school refusal 38 Chapter 4 Discussion 40 4.1 The demographic and psychiatric medication characteristics of adolescents with school refusal 40 4.2 Sleep Characteristics Across Groups and Clinical Implications 41 4.3 Sleep Irregularity and Internalizing Symptoms in School Refusal 43 4.4 Behavioral Predictors of School Refusal: Somatic problems 46 4.5 Depressive Symptoms in School Refusal: Beyond an Anxiety-Based Definition 47 4.7 Sleep Irregularity as a Central Feature in School Refusal 48 4.8 Intervention Considerations: Targeting Behavioral and Circadian Rhythmicity in School Refusal 49 4.10 Strengths and limitations 51 Chapter 5 Conclusions 53 參考文獻 54 圖 59 表 75 附錄 81 | - |
| dc.language.iso | en | - |
| dc.subject | 拒學行為 | zh_TW |
| dc.subject | 青少年 | zh_TW |
| dc.subject | 憂鬱 | zh_TW |
| dc.subject | 焦慮 | zh_TW |
| dc.subject | 腕動計(Actigraphy) | zh_TW |
| dc.subject | 睡眠規律指數(SRI) | zh_TW |
| dc.subject | Actigraphy | en |
| dc.subject | School refusal | en |
| dc.subject | Adolescents | en |
| dc.subject | Depression | en |
| dc.subject | Sleep Regularity Index | en |
| dc.subject | Anxiety | en |
| dc.title | 拒學青少年的睡眠模式與心理健康特質:來自腕動計、憂鬱量表與兒童行為量表之探討 | zh_TW |
| dc.title | Sleep Patterns and Mental Healthy Profiles in School Refusal Adolescents: Insights from Actigraphy, CES-D, and CBCL Assessments | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 113-2 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.oralexamcommittee | 蕭朱杏;簡意玲;洪儷瑜 | zh_TW |
| dc.contributor.oralexamcommittee | Chuhsing Kate Hsiao;Yi-Ling Chien;Li-Yu Hung | en |
| dc.subject.keyword | 拒學行為,青少年,憂鬱,焦慮,腕動計(Actigraphy),睡眠規律指數(SRI), | zh_TW |
| dc.subject.keyword | School refusal,Adolescents,Depression,Anxiety,Actigraphy,Sleep Regularity Index, | en |
| dc.relation.page | 83 | - |
| dc.identifier.doi | 10.6342/NTU202501520 | - |
| dc.rights.note | 同意授權(全球公開) | - |
| dc.date.accepted | 2025-07-10 | - |
| dc.contributor.author-college | 公共衛生學院 | - |
| dc.contributor.author-dept | 流行病學與預防醫學研究所 | - |
| dc.date.embargo-lift | 2025-09-20 | - |
| 顯示於系所單位: | 流行病學與預防醫學研究所 | |
文件中的檔案:
| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| ntu-113-2.pdf | 1.92 MB | Adobe PDF | 檢視/開啟 |
系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。
