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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

憂鬱與日常生活的心境一致想法:日程紀錄研究 / Depression and mood congruent thoughts in everyday life:A diary study

黃柏僩 Unknown Date (has links)
本文試圖將日程紀錄法的研究典範應用於憂鬱的心理病理研究,聚焦於兩研究問題:(一)探討個體的憂鬱症狀與其日常生活正/負向情感傾向的關係,以及該正/負向情感傾向如何影響其每日的正/負向想法;(二)根據「素質-壓力模式」的觀點,探討個體於日常生活中展現的情感傾向與認知特性,在控制住基準點的憂鬱症狀後,是否仍可顯著預測個體處於壓力狀態的憂鬱症狀。93名大學生完整參與本研究,問卷評估包括基準點的憂鬱症狀、日程紀錄期間的每日正/負向情感與正/負向想法、以及其期中考期間的憂鬱症狀。研究顯示憂鬱個體展現較低的正向情感傾向與較強的負向情感傾向,而個體的正/負向情感傾向與狀態可顯著預測其正/負向想法,且情感傾向與狀態對想法存在顯著的交互作用;另外,個體於日常生活展現的平均負向想法與正向情感傾向,在控制住基準點的症狀後,仍可顯著預測其處於壓力的憂鬱症狀。最後,我們則探討本研究對心理病理與治療的意涵。 / The authors attempted using diary method paradigm to study psychopathology of depression. The study focused on two questions: (1) explore the relationship between individuals’ depressive symptoms and their tendency of positive/ negative affect, and how the tendency of affect impact their daily positive/ negative thoughts; (2) according to the view of diathesis-stress model, explore how the affective tendency and cognitive characteristics exhibited in daily life could predict their depressive symptoms under stress after the initial symptoms are controlled. 93 participants finished all questionnaires, including initial depressive symptoms, daily positive/ negative affect, positive/ negative thoughts, and depressive symptoms under midterm examination. The results showed that depression is related to low positive affect and high negative affect. Individuals’ tendency and state of positive/ negative affect could predict their daily positive/ negative thoughts, and there exist a significant interaction effect between tendency and state to thoughts. Further, individuals’ tendency of positive affect and average negative could predict their depressive symptoms under stress after the initial symptoms are controlled. Finally, the implications for psychopathology and therapy are discussed.
2

社交互動焦慮與憂鬱的階層特徵預測模式 / The hierarchical characteristic predictor model of social interaction anxiety and depression

邱于真 Unknown Date (has links)
Clark與Watson(1991)焦慮與憂鬱的三元模式及後續相關理論(Mineka, Watson, & Clark, 1998)對焦慮疾患與憂鬱疾患的高共病率現象提出了解釋:兩疾患高共病率之因乃共同擁有負向情感共同因子,而憂鬱疾患因擁有低正向情感特殊因子使之與焦慮疾患有所區辨。然而透過文獻回顧已知社交互動焦慮疾患與憂鬱疾患皆擁有高負向情感與低正向情感兩類因子(Hughes, Heimberg, Coles, Gibb, Liebowitz, & Schneier, 2006),故目前依三元模式及其相關文獻的架構(Brown, Chorpita, & Barlow, 1998; Hughes et al., 2006; Kashdan, 2002),尚未找出得以區辨社交互動焦慮、憂鬱兩疾患不同之因子。本研究即以三元模式裡已架構的一般因子負向情感、特殊因子正向情感,再加入特殊因子害怕負向評價、以及獨特因子害怕正向評價,來建構社交互動焦慮與憂鬱的階層特徵預測模式:負向情感與正向情感屬於高階因子,為影響著社交互動焦慮與憂鬱的脆弱因子;害怕負向評價與害怕正向評價屬為低階因子,是受到社交互動焦慮與憂鬱影響的症狀向度,其中害怕正向評價即具有能區分社交互動焦慮與憂鬱兩疾患不同之區分因子概念,屬於社交互動焦慮的獨特因子。本研究主要以大學部學生為樣本,共計收取566份問卷,再進行結構方程模式統計分析。結果支持社交互動焦慮與憂鬱的階層特徵預測模式之架構,害怕正向評價為社交互動焦慮的獨特因子,能作為社交互動焦慮、憂鬱間的區分因子。然而本研究假設之一:兩疾患對害怕負向評價此特徵的預測力不同,則在統計分析中未達顯著。最後,提出本研究貢獻與其在臨床上的應用,並進一步探討本研究可能的限制,以及未來研究方向。 / Clark and Watson’s (1991) tripartitle model of anxiety and depression and Mineka, Watson, and Clark’s (1998) an integrative hierarchical model of mood and anxiety disorders explain why the comorbility of anxiety and depression (unipolar mood disorders) is high: the reason of high comorbility of anxiety and depression is these two kinds of disorders contain commom factor—negative affect. Besides low positive affect can differentiates depression from anxiety,that is depression contains low positive affect, but anxiety doesn’t. But from research review, both social interaction anxiety and depression associate with negative affect and low positive affect (Hughes, Heimberg, Coles, Gibb, Liebowitz, & Schneier, 2006). Given this finding, on the structure of tripartite model and other relevant studies (Brown, Chorpita, & Barlow, 1998; Hughes et al., 2006; Kashdan, 2002 ), until now the differential factor of social interaction anxiety and depression is not found. In this study, the factors of tripartite model: a general factor—negative affect, and a specific factor—positive affect, are included. Besides, a specific factor—fear of negative evaluation, and a unique factor—fear of positive evaluation, also are added to our research to build the hierarchical characteristic predictor model of social interaction anxiety and depression. In the hierarchical characteristic predictor model, negative affect and positive affect are higher order factors that influence and could be vulnerabilities to social interaction anxiety and depression; fear of negative evaluation and fear of positive evaluation are lower order factors that are influenced by social interaction anxiety and depression and are dimension of symptoms. Fear of positive evaluation is a unique factor of social interaction anxiety, it accounts for the diversity of these two kinds of disorders and is a differentiable key factor. The participants were college students, and the sample consisted of 566 individuals. The data were examined by structural equation modeling. The results were that most of the hypotheses of the hierarchical characteristic predictor model of social interaction anxiety and depression were supported by data analysis. One of the hypotheses: fear of positive evaluation is a unique factor of social interaction anxiety and is a key factor that can distinct social interaction anxiety from depression , was also proved. But one of the other hypotheses: fear of negative evaluation containing amounts of variance attributable to social interaction anxiety and to depression are different; social interaction anxiety contains a more component of fear of negative evaluation than depression does, in this study, the difference was not significant different. Finally, discussing this study’s contribution, practical application in treatment, and the limitations, we give some directions and suggestions for the future research.

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