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研究生: 蔡函潔
Tsai, Han-Chieh
論文名稱: 以潛在類別分析探討躁鬱症第一型病人之焦慮與物質使用疾患的共病型態差異
Empirically derived subgroups of bipolar I patients with different comorbidity patterns of anxiety and substance use disorders in Han Chinese population
指導教授: 郭柏秀
Kuo, Po-Hsiu
陸汝斌
Lu, Ru-Band
學位類別: 碩士
Master
系所名稱: 醫學院 - 行為醫學研究所
Institute of Behavioral Medicine
論文出版年: 2011
畢業學年度: 99
語文別: 英文
論文頁數: 41
中文關鍵詞: 躁鬱症第一型共病焦慮疾患物質使用疾患潛在類別分析
外文關鍵詞: Bipolar-I, comorbidity, anxiety disorder, substance use disorder, latent class analysis
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  • 研究背景:躁鬱症第一型(Bipolar-I Disorder) 與焦慮疾患(Anxiety Disorders) 和物質使用疾患 (Substance Use Disorders) 具有很高的共病比例。共病不只增加公共衛生研究和臨床治療的挑戰,並會表現更為複雜和難以釐清的疾病成因。本研究試圖以實徵取向研究方法,探討第一型躁鬱症病人之焦慮疾患和物質使用疾患的共病型態差異。
    研究方法:本研究共招募306位臨床診斷為躁鬱症第一型的台灣籍病人。使用複合性國際診斷問卷進行結構式訪談,收集包含人口學變項、臨床特徵、功能損害等資訊。以潛在類別分析 (Latent Class Analysis) 將五種焦慮疾患 (恐慌症、懼曠症、廣泛性焦慮症、特定對象畏懼症和社交畏懼症) 和三種物質使用疾患 (尼古丁依賴、酒精使用疾患和非醫療藥物使用疾患) ,共八項共病指標放入模式之中,分類找出最適躁鬱症第一型病人之亞型模式,並以一系列臨床變項檢驗不同亞型間之差異。
    研究結果:潛在類別分析結果顯示三種類型的分類模式為最佳。第一類低共病型(BPI-LOW,83.99%)與任一焦慮和物質使用疾患的共病比例最低,然過去一年有較多次的躁症發作,以及較低的自殺比例和輕微的功能損傷。第二類焦慮型(BPI-ANX,3.06%)與多重焦慮疾患共病,但未和任一物質使用疾患共病,此類型的主要臨床特徵為女性和早發疾病年齡。第三類物質使用型(BPI-SUD,12.42%)臨床特徵則以男性為主、較高的物質使用疾患之終身盛行率,以及過去一年頻繁的情緒症狀發作。而在焦慮型和物質使用型的躁鬱症第一型之亞型,皆有較高的自殺比例和嚴重的功能損傷。
    結論:本研究發現最適合躁鬱症第一型的亞型模式為三類,尤以自殺行為、頻繁的情緒症狀發作、功能損害最能有效區辨此三種亞型。本研究對於幫助躁鬱症第一型病人之介入和治療策略發展具有臨床貢獻,並期盼能增進未來研究了解致病機制的基礎。

    Objective: Bipolar-I disorder (BPI) often co-occurred with anxiety (ANX) and substance use disorders (SUD), which poses challenges in public health and clinical treatment, and adds complexity in searching for relevant etiologic factors. The present study sought to identify subgroups of BPI patients using comorbidity patterns with ANX and SUD.
    Methods: Clinical patients (N=306) diagnosed with BPI were recruited and interviewed using the Composite International Diagnostic Interview to collect data on demographics and clinical features, including episodic information, impairments, and lifetime diagnoses of ANX (panic, agoraphobia, generalized anxiety disorder, specific and social phobia) and SUD (nicotine dependence, alcohol use and drug use disorder). We applied latent class analysis to empirically derive classes of BPI. A number of exogenous variables were examined for each class.
    Results: A three-class model provides excellent discriminability for subgrouping BPI patients with different comorbidity patterns. The BPI-LOW class (83.99%) had more pure mania without most lifetime comorbidity, higher numbers of last year mania episodes, and less suicidality and impairments. The BPI-ANX class (3.60%) was female predominant, tended to comorbid with multiple anxiety disorders but no SUD, and had early onset age. The BPI-SUD class (12.42%) was male predominant, had high prevalence of lifetime SUD and frequent mood episodes in the last year. Both the BPI-ANX and BPI-SUD classes had severe functional impairments and suicidal behaviors.
    Conclusion: The three empirically identified subgroups of BPI patients exhibited distinguished comorbidity patterns and clinical features, including suicidal behaviors, frequent mood episodes and functional impairments. Our findings have clinical implication in intervention and treatment as well as to explore their different underlying mechanisms.

    Abstract I 摘要 II 致謝 III List of content IV List of Tables VI List of Figures VII 1. Introduction 1 1.1. Mood disorders 1 1.2. Bipolar disorder, anxiety disorder, and substance use disorders 1 1.3. Clinical implication of psychiatric comorbidity 3 1.4. Latent class analysis applied in psychiatric diseases 4 1.5. The comorbidity rate of bipolar disorders: in western v.s. eastern culture 5 1.6. Summary 6 2. Methods 7 2.1. Subjects 7 2.2. Measurements 7 2.3. Latent Class Analysis (LCA) 9 2.4. Statistical Analysis 10 3. Results 11 3.1. Sample Characteristics and Comorbidity Patterns 11 3.2. Latent Class Analysis Results 11 3.3. Class Characteristics 12 4. Discussions 14 4.1. The comorbidity rate of bipolar disorders: in western v.s. eastern culture 14 4.2. Taxonomic model of bipolar disorders 15 4.3. The application of latent class model in bipolar disorders 16 4.4. The distinguishing features of BPI-ANX class 17 4.5. The distinguishing features of BPI-SUD class 18 4.6. Panic and bipolar disorders 19 4.7. Distinguishable clinical variables among derived three classes 19 4.8. Summary 20 5. Limitations 22 6. Ackonwledgements 23 7. References 24

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