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Abstract Background and aims: The Numerical Rating Scale (NRS), Visual Analogue Scale (VAS), Verbal Rating Scale (VRS), and Faces Pain Scale-Revised (FPS-R) are valid measures of pain intensity. However, ratings on these measures may be influenced by factors other than pain intensity. The purpose of this study was to evaluate the influence of non-pain intensity factors on the pain intensity scales. Methods: We administered measures of pain intensity (NRS, VAS, VRS, FPS-R), pain unpleasantness, catastrophizing, depressive symptoms, and pain interference to 101 individuals with chronic lower back or knee pain. Correlation analyses examined the associations among the pain intensity scales, and regression analyses evaluated the contributions of the non-pain intensity factors (depressive symptoms, and pain unpleasantness, catastrophizing, and interference) to the VAS, VRS, and FPS-R ratings, while controlling for NRS, age, and gender. Results: Although the NRS, VAS, VRS, FPR-S, scales were strongly associated with one another, supporting their validity as measures of pain intensity, regression analyses showed that the VRS also reflected pain interference, the FPS-R also reflected pain unpleasantness, and the VAS was not associated with any of the additional non-pain intensity factors when controlling for NRS, age, and gender. Conclusions: The VAS appears to be most similar to the NRS and less influenced by non-pain intensity factors than the VRS or FPS-R. Although the VRS and FPS-R ratings both reflect pain intensity, they also contain additional information about pain interference and pain unpleasantness, respectively. These findings should be kept in mind when selecting pain measures and interpreting the results of research studies using these scales. Implications: The influence of pain interference and pain unpleasantness on VRS and FPS-R, respectively should be kept in mind when selecting pain measures and interpreting the results of research studies using these scales.

The study was supported by Novartis.

Exposure to combat experiences is associated with increased risk of developing Post Traumatic Stress Disorder. Prolonged exposure therapy and cognitive processing therapy have garnered a significant amount of empirical support for PTSD treatment; however, they are not universally effective with some patients continuing to struggle with residual PTSD symptoms. Heart rate variability (HRV) is a measure of the autonomic nervous system functioning and reflects an individual's ability to adaptively cope with stress. A pilot study was undertaken to determine if veterans with PTSD (as measured by the Clinician-Administered PTSD Scale and the PTSD Checklist) would show significantly different HRV prior to an intervention at baseline compared to controls; specifically, to determine whether the HRV among veterans with PTSD is more depressed than that among veterans without PTSD. The study also aimed at assessing the feasibility, acceptability, and potential efficacy of providing HRV biofeedback as a treatment for PTSD. The findings suggest that implementing an HRV biofeedback as a treatment for PTSD is effective, feasible, and acceptable for veterans. Veterans with combat-related PTSD displayed significantly depressed HRV as compared to subjects without PTSD. When the veterans with PTSD were randomly assigned to receive either HRV biofeedback plus treatment as usual (TAU) or just TAU, the results indicated that HRV biofeedback significantly increased the HRV while reducing symptoms of PTSD. However, the TAU had no significant effect on either HRV or symptom reduction. A larger randomized control trial to validate these findings appears warranted.