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The impact of combat injury on the development of chronic pain and mental health concerns in combat-exposed populations is unknown. This study examined associations of combat injury and injury–related pain with pain-related factors and mental health outcomes, and potential mediation of the relation between combat injury and mental health outcomes by pain-related factors.
Methods
Pain interference, pain catastrophizing, pain intensity, post-traumatic stress disorder (PTSD), and major depressive episode (MDE) were assessed in (1) a probability sample of US Army soldiers and veterans cross-sectionally and (2) US Army soldiers before and 1, 3, and 9 months after deployment to Afghanistan. Associations among these variables were modeled using logistic regression and multiple mediation analyses.
Results
Among 5003 service members with cross-sectional data, combat injury–related pain was associated with increased odds of clinically significant pain intensity (OR=2.69), pain interference (OR=3.69), MDE (OR=2.17), and PTSD (OR=3.96) relative to pain from other injuries and conditions. Among 4645 service members assessed pre- and post-deployment, combat injury was associated with increased odds of new-onset pain interference (OR=2.78), pain catastrophizing (OR=2.75), PTSD (OR=4.06), and MDE (OR=2.56) 3 months post-deployment, and PTSD (OR=2.86) and MDE (OR=1.74) 9 months post-deployment. Pain-related factors mediated the relations of combat injury with post-deployment PTSD and MDE.
Conclusions
Combat injury is associated with greater odds of pain interference, pain catastrophizing, PTSD, and MDE compared to other sources of pain in a cohort of US service members. Efforts to address pain-related factors following combat injury may mitigate the risk of subsequent chronic pain and mental health disorders.
Chronic pain represents a major global public health issue. It is associated with wide-ranging psychosocial consequences. Extensive evidence has demonstrated that pain catastrophizing (PC) contributes to the bidirectional association between chronic pain and psychological distress. The present study aims to explore the psychological and cognitive correlates of chronic pain among individuals living in Gaza.
Methods
A cross-sectional study was conducted among 272 adults with chronic musculoskeletal pain. Spearman’s correlations assessed associations between pain intensity, catastrophizing and depressive symptoms. Multiple regression and bootstrapped mediation analyses (5,000 resamples and PROCESS macro) evaluated predictors and the mediating role of catastrophizing in the pain–depression relationship.
Results
Pain intensity was positively correlated with depression (r = 0.28, p < 0.001) and catastrophizing (r = 0.39, p < 0.001). A stronger correlation was found between catastrophizing and depression (r = 0.54, p < 0.001). Mediation analysis demonstrated that catastrophizing fully mediated the association between pain intensity and depression (indirect effect = 0.95, 95% confidence interval = [0.65–1.29]).
Conclusion
PC is a key psychological mechanism linking pain intensity and depression among patients with chronic pain in Gaza. Integrating cognitive-behavioral therapy, mindfulness and emotion regulation strategies into pain management may improve mental health outcomes in conflict-affected settings.
The Pain Catastrophizing Scale (PCS) measures three aspects of catastrophic cognitions about pain—rumination, magnification, and helplessness. To facilitate assessment and clinical application, we aimed to (a) develop a short version on the basis of its factorial structure and the items’ correlations with key pain-related outcomes, and (b) identify the threshold on the short form indicative of risk for depression.
Design:
Cross-sectional survey.
Setting:
Social centers for older people.
Participants:
664 Chinese older adults with chronic pain.
Measurements:
Besides the PCS, pain intensity, pain disability, and depressive symptoms were assessed.
Results:
For the full scale, confirmatory factor analysis showed that the hypothesized 3-factor model fit the data moderately well. On the basis of the factor loadings, two items were selected from each of the three dimensions. An additional item significantly associated with pain disability and depressive symptoms, over and above these six items, was identified through regression analyses. A short-PCS composed of seven items was formed, which correlated at r=0.97 with the full scale. Subsequently, receiver operating characteristic (ROC) curves were plotted against clinically significant depressive symptoms, defined as a score of ≥12 on a 10-item version of the Center for Epidemiologic Studies-Depression Scale. This analysis showed a score of ≥7 to be the optimal cutoff for the short-PCS, with sensitivity = 81.6% and specificity = 78.3% when predicting clinically significant depressive symptoms.
Conclusions:
The short-PCS may be used in lieu of the full scale and as a brief screen to identify individuals with serious catastrophizing.
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