Rumination dependant coping style in depression

• Main Authors: Yu, Ju-Yu, 俞如玉
• Other Authors: 高倜歐
• Format: Others
• Language: en_US
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/45291324353555965746

碩士 === 國立花蓮教育大學 === 諮商心理學研究所 === 97 === The Response Style Theory of Depression (Nolen-Hoeksema ,1991) suggested that individuals who respond to their depression consistently with rumination would exacerbate and prolong depressive mood and symptoms. Previous studies supported that rumination is a cognitive vulnerability affecting depressed patients. Later studies attempted to explore the relationship between rumination and cognitive coping style. Matthews & Well (2004) proposed the Self-Regulatory Executive Function(S-REF) model to explain the process of rumination. According to this model rumination may be supported by “control” and “automatic” processing, as well as dynamic interaction with external environment. Individuals may exacerbate rumination when adopting dysfunctional strategies. Furthermore, persistent rumination would imply a strong thinking bias and reduced motivation in using effective problem-solving. The present study’s sample consists of outpatients with a diagnosis of depression. There are four instruments in this study: Depressive rumination scale (DRS), thought control questionnaire (TCQ), CBDI-Ⅱ,and CBAI. The results of this study are as follows：(1) the clinical sample exhibited higher levels of depressive rumination than the control sample. (2) the clinical sample used less Distraction, Social control and more Worry to cope with rumination. (3) after controlling for anxiety, Repetitive Self-blame showed significant positive correlation with depressive symptoms in both samples. (4) except for anxiety, thought control strategies showed no correlation with depression in normal sample. (5) Careful Analysis and Repetitive Self-blame accounted for 45.2% of the total variance in patients’ symptoms and 39.2% of the total variance in normal sample. (6) five thought control strategies accounted for 45.9% of the total variance in patients’ symptoms, and 20.9% of the total variance in normal sample. Depressive patients show different cognitive content both in terms of quality as well as quantity, strongly associated with depressive symptoms.