Study design Cross-sectional psychometric study. Objectives To compare psychometric properties of the Connor-Davidson Resilience Scale (CD-RISC) with 25, 10, and 2 items, and to assess the agreement between these versions in individuals with spinal cord injury (SCI). Setting Standard psychological screening at a Dutch rehabilitation centre during the first 2 weeks of inpatient rehabilitation. Methods Anonymous data from the psychological screening were analysed. CD-RISC outcomes were checked for floor and ceiling effects. Internal consistency was assessed by calculating Cronbach's α. Convergent validity was assessed by Spearman's correlation between resilience and anxiety, depression, passive coping, and life satisfaction. Agreement between CD-RISC versions was examined by calculating intraclass correlation coefficients (ICCs), corresponding 95% confidence intervals (CIs), and Bland-Altman plots. Results Total CD-RISC scores were only skewed on the CD-RISC 2 (−1.12). There were no floor and ceiling effects. Internal consistency of the 25-, 10-, and 2-item scales was good to moderate (0.90, 0.86, and 0.66, respectively). Good convergent validity was shown only for the CD-RISC 10. Agreement was highest between the CD-RISC 25 and CD-RISC 10 with an ICC of 0.90 with 95% CI from 0.85 to 0.94. Conclusions Out of the three CD-RISC versions, the CD-RISC 10 showed the best combination of reliability, validity, and practicality. Therefore, this version is advised as measure of resilience in individuals with SCI in a rehabilitation setting. Measurement of resilience could be part of a psychological screening to identify individuals at risk to develop psychological problems after SCI.

Study design Cross-sectional.Objectives To examine the association between post-traumatic stress disorder (PTSD) symptoms and pain intensity, taking symptoms of anxiety and depression into account within persons with spinal cord injury (SCI). Setting Persons with SCI, who visited a Dutch rehabilitation centre between 2005 and 2010, were invited to complete a survey. Methods PTSD symptoms were measured with the Trauma Screening Questionnaire (TSQ), pain intensity with an 11-point Numerical Rating Scale (NRS), and symptoms of anxiety and depression with the Hospital Anxiety and Depression Scale (HADS). To determine associations between PTSD symptoms and pain intensity, linear regression analyses were performed. Confounding variables representing anxiety and depression were added to the final model. Results In total, 175 participants (55.8% traumatic, 29.1% complete) were included (response rate of 31.7%). Of them, 11.4% had clinically relevant symptoms of probable PTSD (TSQ score ≥ 6) 69.8% experienced moderate to severe pain levels (NRS ≥ 4), 14.9% had symptoms of anxiety and 20.8% symptoms of depression (HADS scores ≥ 11). Levels of PTSD symptoms were strongly associated with symptoms of anxiety (0.54) and depression (0.49). Bivariate analyses showed a moderate significant association (0.30) between PTSD symptoms and pain intensity. This association became small (0.10) when anxiety and depression comorbidity were factored into the final regression model. Conclusions No independent association between PTSD symptoms and pain intensity was shown when adjusted for anxiety and depression. Results of this study suggest the usefulness of screening for PTSD in persons with SCI (regardless of injury cause or type/level) who score high on symptoms of anxiety/depression.