Diagnosis of psychosocial risk factors in prevention of low back pain in athletes (MiSpEx)
Background Low back pain (LBP) is a common pain syndrome in athletes, responsible for 28% of missed training days/year. Psychosocial factors contribute to chronic pain development. This study aims to investigate the transferability of psychosocial screening tools developed in the general population...
Gespeichert in:
| Hauptverfasser: | , |
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| Dokumenttyp: | Article (Journal) Kapitel/Artikel |
| Sprache: | Englisch |
| Veröffentlicht: |
2017
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| In: |
BMJ Journals
Year: 2017, Jahrgang: 3, Heft: 1 |
| DOI: | 10.1136/bmjsem-2017-000295 |
| Online-Zugang: | Verlag, Volltext: http://dx.doi.org/10.1136/bmjsem-2017-000295 Verlag, Volltext: https://bmjopensem.bmj.com/content/3/1/e000295 
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| Verfasserangaben: | Pia-Maria Wippert, Anne-Katrin Puschmann, Adamantios Arampatzis, Marcus Schiltenwolf, Frank Mayer |
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| 245 | 1 | 0 | |a Diagnosis of psychosocial risk factors in prevention of low back pain in athletes (MiSpEx) |c Pia-Maria Wippert, Anne-Katrin Puschmann, Adamantios Arampatzis, Marcus Schiltenwolf, Frank Mayer |
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| 520 | |a Background Low back pain (LBP) is a common pain syndrome in athletes, responsible for 28% of missed training days/year. Psychosocial factors contribute to chronic pain development. This study aims to investigate the transferability of psychosocial screening tools developed in the general population to athletes and to define athlete-specific thresholds. Methods Data from a prospective multicentre study on LBP were collected at baseline and 1-year follow-up (n=52 athletes, n=289 recreational athletes and n=246 non-athletes). Pain was assessed using the Chronic Pain Grade questionnaire. The psychosocial Risk Stratification Index (RSI) was used to obtain prognostic information regarding the risk of chronic LBP (CLBP). Individual psychosocial risk profile was gained with the Risk Prevention Index - Social (RPI-S). Differences between groups were calculated using general linear models and planned contrasts. Discrimination thresholds for athletes were defined with receiver operating characteristics (ROC) curves. Results Athletes and recreational athletes showed significantly lower psychosocial risk profiles and prognostic risk for CLBP than non-athletes. ROC curves suggested discrimination thresholds for athletes were different compared with non-athletes. Both screenings demonstrated very good sensitivity (RSI=100%; RPI-S: 75%-100%) and specificity (RSI: 76%-93%; RPI-S: 71%-93%). RSI revealed two risk classes for pain intensity (area under the curve (AUC) 0.92(95% CI 0.85 to 1.0)) and pain disability (AUC 0.88(95% CI 0.71 to 1.0)). Conclusions Both screening tools can be used for athletes. Athlete-specific thresholds will improve physicians’ decision making and allow stratified treatment and prevention. | ||
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