Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/144281
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dc.titleTHE LOOMING MALADAPTIVE STYLE AS A CORE COGNITIVE RISK FACTOR TO VARIOUS ANXIETY SYMPTOMS: A MULTIVARIATE META-ANALYSIS
dc.contributor.authorGERARD CHRISTOPHER YEO ZHENG JIE
dc.date.accessioned2018-06-30T19:17:06Z
dc.date.available2018-06-30T19:17:06Z
dc.date.issued2018-02-12
dc.identifier.citationGERARD CHRISTOPHER YEO ZHENG JIE (2018-02-12). THE LOOMING MALADAPTIVE STYLE AS A CORE COGNITIVE RISK FACTOR TO VARIOUS ANXIETY SYMPTOMS: A MULTIVARIATE META-ANALYSIS. ScholarBank@NUS Repository.
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/144281
dc.description.abstractCognitive vulnerability models of anxiety posit that patterns of distorted cognitions inflate the risk of individuals developing anxiety disorders. One such model that gained recent attention is the looming maladaptive style (LMS). LMS is the tendency to perceive threats as dynamically increasing in danger and risk. Moreover, it is advocated as a vulnerability factor that is specific to anxiety, but not to depression. Employing multivariate meta-analysis, the current study examined the strength of the relationships between LMS and the different conditions of anxiety (general anxiety, social anxiety, obsessive-compulsive disorder, fears, and worry) and depression, and how different moderators affected these relationships. Results from 69 studies with 141 effect sizes indicated significant mean effect sizes of moderate magnitude, and the relationships between LMS and the conditions of anxiety were all stronger than that with depression. This supports the specificity of LMS to anxiety but not to depression, as originally proposed.
dc.language.isoen
dc.subjectcognitive vulnerabilities, looming maladaptive style, multivariate meta-analysis, anxiety, depression
dc.typeThesis
dc.contributor.departmentPSYCHOLOGY
dc.contributor.supervisorHONG YEE SHIUN
dc.description.degreeMaster's
dc.description.degreeconferredMASTER OF SOCIAL SCIENCES
Appears in Collections:Master's Theses (Open)

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