The Effectiveness of Cognitive, Meta-cognitive, and Behavioral Model on Reducing Anxious Thoughts in Patients with Social Anxiety Disorder

سال انتشار: 1396
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 53

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شناسه ملی سند علمی:

JR_BEHAVS-10-4_007

تاریخ نمایه سازی: 28 مرداد 1402

چکیده مقاله:

Objective: This study was conducted to investigate the effectiveness of education based on cognitive, meta-cognitive, and behavioral developed model on reduction of meta worries belief in patients with social anxiety disorder(SAD). Method: The research method was semi-experimental design with pre-posttest design with control group. The statistical population included all the patients with social anxiety disorder referring to public and private centers in Kermanshah city in ۲۰۱۵ which were selected using available sampling method. Thirty of them who was chosen through semi-structured interviews (SCID), meta-worry subscale of well’s questionnaire of anxious thoughts (۱۹۹۴), that were eligible for the study were divided into two groups of experiment and control (waiting list) and replaced randomly. The instrument used in the study was meta-worry subscale of Well’s questionnaire of anxious thoughts (۱۹۹۴). Twelve cognitive, meta-cognitive, and behavioral treatment sessions due to the developed model and on the basis of relevant theoretical insights was done twice a week for the experimental group while the control group received no intervention. After the treatment both groups were evaluated with the test. For data analysis one-way covariance (ANCOVA) was used. Results: The results showed that education based on cognitive, meta-cognitive, and behavioral developed model has been effective on reduction of meta-worries belief among patients with social anxiety disorder in the experimental group(P

کلیدواژه ها:

Keywords: Social Anxiety Disorder ، cognitive ، meta-cognitive ، Behavior ، Anxious Thoughts

نویسندگان

Afsaneh Shahbazirad

Ph.D student in Psychology

Ezatollah Ghadampour

Assistant Professor

Firoozeh Ghazanfari

Assistant Professor

Khodamorad Momeni

Associate Professor

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