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Effect of cognitive-behavioral therapy on the quality of life of dderly depression patients with chronic pain / 中华行为医学与脑科学杂志
Article in Zh | WPRIM | ID: wpr-422349
Responsible library: WPRO
ABSTRACT
Objective To explore the influence of cognitive-behavioral therapy on the quality of life of elderly depression patients with chronic pain.Methods 60 patients were divided into the cognitive-behavioral therapy(CBT) group and non-cognitive-behavioral therapy(N-CBT) group,30 cases in each group.The patients in CBT group were treated with cognitive-behavioral therapy combined with mirtazapine,and the patients in N-CBT group were treated with mirtazapine only.Before treating and after the 4th week and 12th week,depression,anxiety and chronic pain were assessed respectively with Hamilton Depression Scale ( HAMD),Hamilton Anxiety Scale (HAMA),and Visual Analogue Scales (VAS),the quality of life was assessed with the WHO Quality of Life ( WHO.QOL-100).No significant different scores of HAMD,HAMA,VAS and WHOQOL-100 existed between two groups before treatment.Results Depression,anxiety and chronic pain were significantly related to the life quality of elderly depression patients with chronic pain ( r =-0.506 ~ -0.676,P < 0.01 ).At the end of the 12th treating week,the scores of HAMD(36.82 ±7.93),HAMA(8.26 ±3.13),VAS(4.35 ±0.52) and WHOQOL100 ( respectively ( 65.71 ± 17.29 ),( 92.36 ± 13.55 ),( 77.91 ± 12.26 ),( 78.33 ± 12.81 ),( 81.79 ± 12.43 ),( 18.95 ± 11.91 ),( 19.98 ± 11.56 ) ) were significantly different from those before treatment in CBT group,and the change of each indicator score was significantly greater in CBT group than those in N-CBT group ( t =3.020 ~9.761,P< 0.01 ).Conclusion Cognitive-behavioral therapy can effectively improve the life quality of the elderly depression patients with chronic pain.
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Full text: 1 Database: WPRIM Aspects: Patient_preference Language: Zh Journal: Chinese Journal of Behavioral Medicine and Brain Science Year: 2011 Document type: Article
Full text: 1 Database: WPRIM Aspects: Patient_preference Language: Zh Journal: Chinese Journal of Behavioral Medicine and Brain Science Year: 2011 Document type: Article