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      Longitudinal Analysis Supports a Fear-Avoidance Model That Incorporates Pain Resilience Alongside Pain Catastrophizing

      1 , 1 , 1
      Annals of Behavioral Medicine
      Oxford University Press (OUP)

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          Abstract

          Background

          The fear-avoidance model of chronic pain holds that individuals who catastrophize in response to injury are at risk for pain-related fear and avoidance behavior, and ultimately prolonged pain and disability.

          Purpose

          Based on the hypothesis that the predictive power of the fear-avoidance model would be enhanced by consideration of positive psychological constructs, the present study examined inclusion of pain resilience and self-efficacy in the model.

          Methods

          Men and women (N = 343) who experienced a recent episode of back pain were recruited in a longitudinal online survey study. Over a 3-month interval, participants repeated the Pain Resilience Scale, Pain Catastrophizing Scale, Tampa Scale of Kinesiophobia, Pain Self-Efficacy Questionnaire, the McGill Pain Questionnaire, and NIH-recommended measures of pain, depressive symptoms, and physical dysfunction. Structural equation modeling assessed the combined contribution of pain resilience and pain catastrophizing to 3-month outcomes through the simultaneous combination of kinesiophobia and self-efficacy.

          Results

          An expanded fear-avoidance model that incorporated pain resilience and self-efficacy provided a good fit to the data, Χ2 (df = 14, N = 343) = 42.09, p = .0001, RMSEA = 0.076 (90% CI: 0.05, 0.10), CFI = 0.97, SRMR = 0.03, with higher levels of pain resilience associated with improved 3-month outcomes on measures of pain intensity, physical dysfunction, and depression symptoms.

          Conclusions

          This study supports the notion that the predictive power of the fear-avoidance model of pain is enhanced when individual differences in both pain-related vulnerability (e.g., catastrophizing) and pain-related protective resources (e.g., resilience) are considered.

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          Most cited references67

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          Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives

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              Multimodel Inference: Understanding AIC and BIC in Model Selection

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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Annals of Behavioral Medicine
                Oxford University Press (OUP)
                0883-6612
                1532-4796
                May 2020
                April 20 2020
                November 11 2019
                May 2020
                April 20 2020
                November 11 2019
                : 54
                : 5
                : 335-345
                Affiliations
                [1 ]Department of Psychology, Ohio University, Athens, OH, USA
                Article
                10.1093/abm/kaz051
                31711106
                5d3a966d-c37f-4a95-8cb3-3cc99db41197
                © 2019

                https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model

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