4.5 Article

Comparison of factor structure models for the Beck Anxiety Inventory among cardiac rehabilitation patients

Journal

JOURNAL OF PSYCHOSOMATIC RESEARCH
Volume 89, Issue -, Pages 91-97

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jpsychores.2016.08.007

Keywords

Anxiety; Beck Anxiety Inventory; Cardiac rehabilitation; Cardiovascular disease; Confirmatory factor analysis

Categories

Funding

  1. Indiana State University
  2. University of Missouri Kansas City Department of Psychology

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Objective: Individuals with cardiovascular disease (CVD) experience greater rates of distress symptoms, such as anxiety and depressive symptoms, than the general population. These psychological outcomes have been linked to greater risk for negative outcomes following a cardiac event; however, research examining the relationship between specific components of anxiety and outcomes in CVD is limited. Further, prior research has not investigated the structure of anxiety symptoms in CVD. This study sought to compare previously established one, two, and four-factor models of the Beck Anxiety Inventory (BAI) in individuals enrolled in cardiac rehabilitation (CR). Methods: Our sample included 208 individuals with CVD recruited during enrollment in a phase II CR program. Participants completed the BAI at enrollment in CR (Time 1) and again 12 weeks later at CR completion (Time 2, n = 151). Results: Consistent with prior literature, 41% of our sample reported at least mild symptoms of anxiety (BAI > 8), and the BAI proved to be a reliable measure within this sample (alpha = 0.89). Confirmatory factor analysis (CFA) results indicated that a second-order model with four first order factors, consisting of cognitive, autonomic, neuromotor, and panic components, fit our data well. A multi-group CFA approach supported measurement invariance across time. Conclusion: These results suggest that anxiety following CVD can be evaluated based on cognitive, autonomic, neuromotor, and panic components as well as the encompassing anxiety construct. (C) 2016 Elsevier Inc. All rights reserved.

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