ISSN 2043-8087
Journal of Experimental Psychopathology
 Volume 2, Issue 3, 354-370, 2011
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Cumulative versus Multiple-Risk Models in the Prediction of Anxiety Symptoms

Andres G. Viana (a), Kim L. Gratz (b), Brian Rabian (c)
(a) Pennsylvania State University, University of Mississippi Medical Center
(b) University of Mississippi Medical Center
(c) Pennsylvania State University

Volume 2, Issue 3, 2011, Pages 354-370

The present study aimed to advance understanding of the cumulative and incremental influences of anxiety sensitivity, behavioral inhibition, and interpretive and judgment biases on anxiety outcomes in a large sample of emerging adults (N = 862; mean age = 18.75 years, SD = 1.04). Participants completed a battery of questionnaires assessing the constructs of interest and cumulative- and multiple-risk models were tested. Linear, hierarchical regression analyses showed that cumulative- and multiple-risk models significantly predicted anxiety outcomes, although the statistical prediction offered by the latter model was superior. Additionally, variability in each risk factor significantly predicted anxiety outcomes after controlling for the total number of risks, supporting the value of the severity of risk to the prediction of anxiety outcomes. Findings, implications for intervention, and limitations are discussed.

Table of Contents
  Cumulative Versus Incremental Risk for Anxiety
    Interpretive biases.
    Judgment biases.
    Anxiety sensitivity.
    Behavioral inhibition.
    Anxiety outcomes.
  Cumulative Risk Computation
  Preliminary Analyses
  Individual Risk Variables and Anxiety Problems
  Cumulative-Risk Model and Anxiety Problems
  Multiple-Risk Model and Anxiety Problems

Correspondence to
Andres G. Viana, AH 318, Department of Psychiatry and Human Behavior, University of Mississippi Medical Center, 2500 N. State Street, Jackson, MS 39216.

anxiety; risk; risk factors; anxiety sensitivity; behavioral inhibition; cognitive biases

Received 24 Sep 2010; Revised 11 Jan 2011; Accepted 12 Jan 2011; In Press 24 Jul 2011

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