title: Testing the psychometric properties of the Cognitions Checklist, a measure to differentiate anxiety and depression among older adults.
abstract: Considerable debate has been waged in the field about whether anxiety and depressive cognitions can be discriminated, and whether they can discriminate anxiety and depression symptoms. The current study examined a standard measure of cognitions, the Cognitions Checklist (CCL) that has yielded mixed results when tested in older age samples. A community sample of older adults (N=169; mean age=75.70; SD=8.55) completed a series of self-report questionnaires, including the CCL as well as measures of anxiety and depression symptoms. The CCL, which yielded a three-factor structure rather than the typical two-factor structure, did not cognitively discriminate anxiety from depression. The results have implications for understanding cognitive factors that differentiate between anxiety and depression symptoms in older adults and suggest the importance of assessing cognitions that are tailored to the concerns of this population.
authors.affiliation: Research Service, VA San Diego Healthcare System, USA; Psychology Service, VA San Diego Healthcare System, USA; Department of Psychiatry, University of California, San Diego School of Medicine, USA. Electronic address: cayers@ucsd.edu.
authors.forename: Catherine R
authors.initials: CR
authors.lastname: Ayers
authors.affiliation: George Mason University, USA.
authors.forename: John H
authors.initials: JH
authors.lastname: Riskind
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D001007:Anxiety / Q000175:diagnosis*; D057189:Checklist; D003071:Cognition; D003863:Depression / Q000175:diagnosis*; D006801:Humans; D011594:Psychometrics; D011795:Surveys and Questionnaires
keywords: Cognitions Checklist; Content specificity hypothesis; Geriatric