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 nonclinical 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 familyattachment are predictors of OCD.

ell-being relates to the extent to which an individual is feeling good and functioning positively. In this research, well-being is generally taken to be measured across six key indicatorsmindfulness, self-esteem, resilience, emotional intelligence, forgiveness, and career adaptability.Using meta-analytic techniques the current study summarized cross-sectional data to examine: (a) which stronger predictors are related to well-being among students.Online databases were searched. Cross-sectional studies were included if they (a) assessed well-being among university students, (c) reported correlations or between-groups data (predictors of wellbeing). Twenty-three studies (n= 10506) were included in random-effect meta-analyses. Effect size on relation of predictors to well-being was medium. Predictors were strongly associated with well-being [r= 0.447, p=.0001].Using meta-analytic technique, the current study examined predictors of well-being among students, and it revealed that factors such as "mindfulness, self-esteem, resilience, emotional intelligence, forgiveness, and career adaptability are strong predictors of well-being.