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  1. NTU Theses and Dissertations Repository
  2. 重點科技研究學院
  3. 精準健康學位學程
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/102881
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dc.contributor.advisor林世明zh_TW
dc.contributor.advisorShiming Linen
dc.contributor.author吳旻璇zh_TW
dc.contributor.authorMin-Hsuan Wuen
dc.date.accessioned2026-07-22T17:12:35Z-
dc.date.available2026-07-23-
dc.date.copyright2026-07-22-
dc.date.issued2026-
dc.date.submitted2026-06-24-
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[27] Kocalevent, R. D., Hinz, A., & Brähler, E. (2013). Standardization of the depression screener patient health questionnaire (PHQ-9) in the general population. General hospital psychiatry, 35(5), 551-555.
[28] Laborde, S., Mosley, E., & Thayer, J. F. (2017). Heart rate variability and cardiac vagal tone in psychophysiological research–recommendations for experiment planning, data analysis, and data reporting. Frontiers in psychology, 8, 238557.
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[30] Montano, N., Porta, A., Cogliati, C., Costantino, G., Tobaldini, E., Casali, K. R., & Iellamo, F. (2009). Heart rate variability explored in the frequency domain: a tool to investigate the link between heart and behavior. Neuroscience & Biobehavioral Reviews, 33(2), 71-80.
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[33] Santomauro, D. F., Herrera, A. M. M., Shadid, J., Zheng, P., Ashbaugh, C., Pigott, D. M., ... & Ferrari, A. J. (2021). Global prevalence and burden of depressive and anxiety disorders in 204 countries and territories in 2020 due to the COVID-19 pandemic. The Lancet, 398(10312), 1700-1712.
[34] Schäfer, A., & Vagedes, J. (2013). How accurate is pulse rate variability as an estimate of heart rate variability?: A review on studies comparing photoplethysmographic technology with an electrocardiogram. International journal of cardiology, 166(1), 15-29.
[35] Shaffer, F., & Ginsberg, J. P. (2017). An overview of heart rate variability metrics and norms. Frontiers in public health, 5, 258.
[36] Shin, J. H., Song, M. J., & Kim, J. H. (2025). Association Between Depressive Symptoms and Altered Heart Rate Variability in Obstructive Sleep Apnea. Journal of Clinical Medicine, 14(19), 6978.
[37] Smets, E., Rios Velazquez, E., Schiavone, G., Chakroun, I., D’Hondt, E., De Raedt, W., ... & Van Hoof, C. (2018). Large-scale wearable data reveal digital phenotypes for daily-life stress detection. NPJ digital medicine, 1(1), 67.
[38] Smith, R., Thayer, J. F., Khalsa, S. S., & Lane, R. D. (2017). The hierarchical basis of neurovisceral integration. Neuroscience & biobehavioral reviews, 75, 274-296.
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[41] Wang, Z., Zou, Y., Liu, J., Peng, W., Li, M., & Zou, Z. (2025). Heart rate variability in mental disorders: an umbrella review of meta-analyses. Translational Psychiatry, 15(1), 104.
[42] Williams, D. P., Cash, C., Rankin, C., Bernardi, A., Koenig, J., & Thayer, J. F. (2015). Resting heart rate variability predicts self-reported difficulties in emotion regulation: a focus on different facets of emotion regulation. Frontiers in psychology, 6, 261.
[43] World Health Organization. (2025). World mental health today: latest data. World Health Organization.
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/102881-
dc.description.abstract焦慮與憂鬱症狀與自律神經系統失調之間的關聯受到廣泛關注,而心律變異度 (Heart Rate Variability, HRV) 被視為評估自律神經調節的重要非侵入性生理指標。然而,過去多數研究主要著重於靜態檢測,較少探討生理挑戰條件下的動態自律神經反應。因此,本研究使用氣泵式行動心律變異血壓檢測儀,探討不同姿勢條件下自律神經指標與焦慮及憂鬱量表分數之間的關聯性,並評估姿勢挑戰是否能提供較靜態測量更具生理意義之資訊。本研究共納入 90 位受試者,使用 GAD-7、ASI-3、PHQ-4 與 BDI-II 評估焦及憂鬱症狀,並於坐姿與站姿條件下量測 HRV、低頻功率 (LF)、高頻功率 (HF) 及 LF/HF ratio。研究結果顯示,整體 HRV 由坐姿條件下的 40.41 ± 4.34 顯著下降至站姿條件下的 38.82 ± 6.33 (p = 0.014),顯示姿勢轉換成功誘發可測量之自律神經調節反應。雖然 HRV 與心理量表之相關性整體偏弱,但站姿條件下所呈現之反應模式與焦慮及憂鬱相關之自律神經失調理論較為一致。較高之心理症狀分數傾向與較低之 HRV 與 HF,以及較高之 LF 指標有關,反映副交感神經調節下降與交感神經活性增加之趨勢。本研究認為,姿勢挑戰的價值未必在於提升統計相關強度,而在於使低負荷狀態下不易觀察之自律神經反應模式更具生理可解釋性。探索性分析顯示,姿勢挑戰後出現 HRV 下降者較可能呈現與焦慮症狀相關之自律神經反應特徵,而較高焦慮症狀程度者亦傾向出現較明顯之 HRV 下降,顯示姿勢誘發之 HRV 變化可能作為反映焦慮症狀的早期生理訊號。氣泵式行動檢測儀亦展現於動態條件下穩定取得 HRV 訊號之潛力,支持未來於真實情境中進行行動式自律神經檢測與焦慮風險篩檢之可行性。zh_TW
dc.description.abstractHeart rate variability (HRV) is a widely used non-invasive indicator of autonomic regulation. However, previous studies have primarily focused on resting-state measurements, with limited investigation of autonomic responses under physiological challenge conditions. Therefore, this study employed a pressure-based mobile cardiovascular monitoring device to investigate the associations between autonomic nervous system (ANS)-related parameters and anxiety and depression measures under different postural conditions, and to evaluate whether postural challenge provides additional physiologically meaningful information beyond conventional resting-state assessment. The final dataset consisted of 90 participants. Levels of anxiety and depressive symptoms were evaluated using the GAD-7, ASI-3, PHQ-4, and BDI-II questionnaires. HRV indices, including HRV, low-frequency (LF) power, high-frequency (HF) power, and the LF/HF ratio, were measured under sitting and standing conditions. The results demonstrated that overall HRV significantly decreased from 40.41 ± 4.34 in the sitting condition to 38.82 ± 6.33 in the standing condition (p = 0.014), indicating that postural transition successfully elicited measurable autonomic adjustments. Although associations between HRV and psychological measures were generally weak, autonomic response patterns observed during standing appeared to align more closely with previous findings regarding anxiety- and depression-related autonomic dysregulation. Higher psychological symptom scores tended to exhibited lower HRV and HF measures and relatively higher LF-related indices, suggesting reduced parasympathetic modulation and increased sympathetic dominance. These findings suggest that the value of postural challenge may lie not in strengthening statistical associations, but in revealing autonomic response patterns that are more physiologically interpretable. Furthermore, exploratory analyses suggested that posture-induced HRV reduction may represent an early physiological signal associated with elevated anxiety symptoms. Individuals demonstrating reduced HRV during postural challenge appeared more likely to exhibit anxiety-related autonomic characteristics, highlighting the potential value of pressure-based mobile HRV monitoring in future anxiety screening applications.en
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dc.description.tableofcontents誌謝 i
中文摘要 ii
ABSTRACT iii
CONTENTS v
LIST OF FIGURES ix
LIST OF TABLES xi
Chapter 1 Introduction 1
1.1 Background 1
1.1.1 Prevalence and Impact of Anxiety and Depression 1
1.1.2 Limitations of Current Psychological Assessments 3
1.1.3 ANS Dysregulation in Anxiety and Depression 4
1.1.4 Heart Rate Variability as a Marker of Autonomic Regulation 6
1.1.5 Mobile HRV Measurement and Signal Fidelity Considerations 8
1.1.6 Postural Autonomic Challenge: Autonomic Flexibility and Rigidity 9
1.2 Motivation and Purpose 10
1.3 Key Concepts and Definitions 13
1.4 Thesis Organization 15
Chapter 2 Literature Review 17
2.1 Psychometric Assessment Tools for Anxiety and Depression 17
2.1.1 GAD-7 (Generalized Anxiety Disorder 7-item Scale) 17
2.1.2 ASI-3 (Anxiety Sensitivity Index-3) 18
2.1.3 PHQ-4 (Patient Health Questionnaire-4) 19
2.1.4 BDI-II (Beck Depression Inventory-II) 20
2.2 Overview of HRV 21
2.2.1 Physiological Basis of HRV 22
2.2.2 HRV Measurement Methods and Reliability 23
2.2.3 Interpretation of Frequency-Domain Indicators 24
2.3 Studies on the Association Between Anxiety, Depression, and HRV 27
2.3.1 Anxiety and HRV 27
2.3.2 Depression and HRV 28
2.3.3 Summary 30
Chapter 3 Materials and Methods 31
3.1 Research Design 31
3.2 Participants 31
3.2.1 Inclusion Criteria 32
3.2.2 Exclusion Criteria 32
3.3 Research Process 33
3.4 Research Instruments 34
3.4.1 Psychological Measures 34
3.4.2 HRV Measurement 35
3.5 Data Preprocessing 37
3.6 Data Analysis 37
3.6.1 Descriptive Statistics 38
3.6.2 Normality Assessment 39
3.6.3 Correlation Analysis 40
3.6.4 Non-parametric Paired Comparison 41
3.6.5 Comparison of Associations Across Conditions 43
3.6.6 Exploratory Analysis of ΔHRV Across Anxiety Severity Groups 45
Chapter 4 Results 46
4.1 Participant Characteristics and Descriptive Statistics 46
4.2 Normality Assessment of ANS-related Parameters and Psychological Measures 48
4.3 Associations Between ANS-related Parameters and Psychological Measures (Q1) 49
4.4 Effect of Postural Change on ANS-related Parameters (Q2) 54
4.5 Comparison of Associations Across Postural Conditions (Q3) 60
4.6 Exploratory Analysis of ΔHRV Across Anxiety Severity Levels 62
Chapter 5 Discussion 66
5.1 Effect of Postural Change on ANS Regulation 66
5.2 Associations Between HRV and Psychological Measures 68
5.3 Value of Postural Challenge in HRV Assessment 70
5.4 Limitations 73
Chapter 6 Conclusion and Future Works 76
6.1 Conclusion 76
6.2 Future Works 78
References 80
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dc.language.isoen-
dc.subject自律神經系統-
dc.subject心律變異度-
dc.subject焦慮-
dc.subject憂鬱-
dc.subject姿勢挑戰-
dc.subject行動檢測儀-
dc.subjectAutonomic nervous system-
dc.subjectHeart rate variability-
dc.subjectAnxiety-
dc.subjectDepression-
dc.subjectPostural challenge-
dc.subjectMobile detecting device-
dc.title自律神經系統相關參數與焦慮及憂鬱量表所得分數之關聯性研究zh_TW
dc.titleA Study of Association between Autonomic Nervous System-Related Parameters and Scores Obtained from Anxiety and Depression Scalesen
dc.typeThesis-
dc.date.schoolyear114-2-
dc.description.degree碩士-
dc.contributor.oralexamcommittee楊健志;鄧致剛zh_TW
dc.contributor.oralexamcommitteeChien-Chih Yang;Chih-Kang Tengen
dc.subject.keyword自律神經系統; 心律變異度; 焦慮; 憂鬱; 姿勢挑戰; 行動檢測儀zh_TW
dc.subject.keywordAutonomic nervous system; Heart rate variability; Anxiety; Depression; Postural challenge; Mobile detecting deviceen
dc.relation.page87-
dc.identifier.doi10.6342/NTU202601395-
dc.rights.note同意授權(限校園內公開)-
dc.date.accepted2026-06-25-
dc.contributor.author-college重點科技研究學院-
dc.contributor.author-dept精準健康學位學程-
dc.date.embargo-lift2031-06-10-
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