Predictors of Obsessive – Compulsive Disorder in clinical and non- clinical samples: A Meta – Analysis | ||
| المجلة التربوية لکلية التربية بسوهاج | ||
| Article 24, Volume 81, Issue 81, January 2021, Pages 70-95 PDF (926.88 K) | ||
| Document Type: المقالة الأصلية | ||
| DOI: 10.21608/edusohag.2021.130233 | ||
| Author | ||
| Hala Abd Ellatif Ramadan* | ||
| Associate professor in mental hygiene College of Education Department of Mental Hygiene Suez Canal University | ||
| Abstract | ||
| Objective: cognitive models of OCD proposed that inflated responsibility/threat, importance/control of thought, and perfectionism/certainly are a vulnerability and maintenance cognitive factors specific to OCD symptoms. Attachment theory assumed that those cognitive factors are obsessive beliefs that can be explained within a family-attachment relationship. Although several studies have been conducted on the specificity of cognitive factors and family–attachment relative to OCD, a meta-analysis on this issue does not exist yet. Using meta-analytic techniques, the current study summarized cross-sectional data to examine: (a) which stronger predictors are related to OCD symptoms in clinical and non-clinical samples. Method: Online databases were searched. Cross-sectional studies were included if they (a)assessed OCD symptoms in clinical or non-clinical samples, (b) reported correlations or between-groups data (predictors of OCD symptoms). Seventeen studies (n= 6238) were included in random-effect meta-analyses. Results: Effect size on relation of predictors to OCD symptoms was medium. predictors were strongly associated with OCD symptoms [r= 0.456, p=.0001], Conclusions: Using meta-analytic technique, the current study examined predictors of obsessive - compulsive disorder, and it revealed that cognitive factors such as “inflated responsibility/threat, importance/control of thought, and perfectionism/certainly “and family- attachment are predictors of OCD. | ||
| Keywords | ||
| predictors; obsessive – compulsive disorder; clinical sample; non-clinical sample; meta – analysis | ||
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