Cut-off points for mild, moderate, and severe pain on the visual analogue scale for pain in patients with chronic musculoskeletal pain
Cornelia-Stichting · Department of Medical Sciences
Abstract
The aim of this study was to find the cut-off points on the visual analogue scale (VAS) to distinguish among mild, moderate, and severe pain, in relation to the following: pain-related interference with functioning; verbal description of the VAS scores; and latent class analysis for patients with chronic musculoskeletal pain. A total of 456 patients were included. Pain was assessed using the VAS and verbal rating scale; functioning was assessed using the domains of the Short Form (36) Health Survey (SF-36). Eight cut-off point schemes were tested using multivariate analysis of variance (MANOVA), ordinal logistic regression, and latent class analysis. The study results showed that VAS scores ⩽ 3.4 corresponded…
Citation impact
- FWCI
- 16.27
- Percentile
- 100%
- References
- 31
Authors
4Topics & keywords
- Visual analogue scale
- Latent class model
- Medicine
- Multivariate analysis of variance
- Chronic pain
- Physical therapy
- Logistic regression
- Rating scale
- Quality Education