@misc{NiedererVogtWippertetal.2016, author = {Niederer, Daniel and Vogt, Lutz and Wippert, Pia-Maria and Puschmann, Anne-Katrin and Pfeifer, Ann-Christin and Schiltenwolf, Marcus and Banzer, Winfried and Mayer, Frank}, title = {Medicine in spine exercise (MiSpEx) for nonspecific low back pain patients}, series = {Postprints der Universit{\"a}t Potsdam : Humanwissenschaftliche Reihe}, journal = {Postprints der Universit{\"a}t Potsdam : Humanwissenschaftliche Reihe}, number = {444}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-407308}, pages = {9}, year = {2016}, abstract = {Background: Arising from the relevance of sensorimotor training in the therapy of nonspecific low back pain patients and from the value of individualized therapy, the present trial aims to test the feasibility and efficacy of individualized sensorimotor training interventions in patients suffering from nonspecific low back pain. Methods and study design: A multicentre, single-blind two-armed randomized controlled trial to evaluate the effects of a 12-week (3 weeks supervised centre-based and 9 weeks home-based) individualized sensorimotor exercise program is performed. The control group stays inactive during this period. Outcomes are pain, and pain-associated function as well as motor function in adults with nonspecific low back pain. Each participant is scheduled to five measurement dates: baseline (M1), following centre-based training (M2), following home-based training (M3) and at two follow-up time points 6 months (M4) and 12 months (M5) after M1. All investigations and the assessment of the primary and secondary outcomes are performed in a standardized order: questionnaires - clinical examination - biomechanics (motor function). Subsequent statistical procedures are executed after the examination of underlying assumptions for parametric or rather non-parametric testing. Discussion: The results and practical relevance of the study will be of clinical and practical relevance not only for researchers and policy makers but also for the general population suffering from nonspecific low back pain. Trial registration: Identification number DRKS00010129. German Clinical Trial registered on 3 March 2016.}, language = {en} } @misc{WippertPuschmannArampatzisetal.2018, author = {Wippert, Pia-Maria and Puschmann, Anne-Katrin and Arampatzis, Adamantios and Schiltenwolf, Marcus and Mayer, Frank}, title = {Diagnosis of psychosocial risk factors in prevention of low back pain in athletes (MiSpEx)}, issn = {1866-8364}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-407391}, year = {2018}, abstract = {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.}, language = {en} } @misc{WippertPuschmannDriessleinetal.2020, author = {Wippert, Pia-Maria and Puschmann, Anne-Katrin and Drießlein, David and Banzer, Winfried and Beck, Heidrun and Schiltenwolf, Marcus and Schneider, Christian and Mayer, Frank}, title = {Personalized treatment suggestions}, series = {Postprints der Universit{\"a}t Potsdam : Humanwissenschaftliche Reihe}, journal = {Postprints der Universit{\"a}t Potsdam : Humanwissenschaftliche Reihe}, number = {690}, issn = {1866-8364}, doi = {10.25932/publishup-47199}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-471993}, pages = {13}, year = {2020}, abstract = {Background: The back pain screening tool Risk-Prevention-Index Social (RPI-S) identifies the individual psychosocial risk for low back pain chronification and supports the allocation of patients at risk in additional multidisciplinary treatments. The study objectives were to evaluate (1) the prognostic validity of the RPI-S for a 6-month time frame and (2) the clinical benefit of the RPI-S. Methods: In a multicenter single-blind 3-armed randomized controlled trial, n = 660 persons (age 18-65 years) were randomly assigned to a twelve-week uni- or multidisciplinary exercise intervention or control group. Psychosocial risk was assessed by the RPI-S domain social environment (RPI-SSE) and the outcome pain by the Chronic Pain Grade Questionnaire (baseline M1, 12-weeks M4, 24-weeks M5). Prognostic validity was quantified by the root mean squared error (RMSE) within the control group. The clinical benefit of RPI-SSE was calculated by repeated measures ANOVA in intervention groups. Results: A subsample of n = 274 participants (mean = 38.0 years, SD 13.1) was analyzed, of which 30\% were classified at risk in their psychosocial profile. The half-year prognostic validity was good (RMSE for disability of 9.04 at M4 and of 9.73 at M5; RMSE for pain intensity of 12.45 at M4 and of 14.49 at M5). People at risk showed significantly stronger reduction in pain disability and intensity at M4/M5, if participating in a multidisciplinary exercise treatment. Subjects at no risk showed a smaller reduction in pain disability in both interventions and no group differences for pain intensity. Regarding disability due to pain, around 41\% of the sample would gain an unfitted treatment without the back pain screening. Conclusion: The RPI-SSE prognostic validity demonstrated good applicability and a clinical benefit confirmed by a clear advantage of an individualized treatment possibility.}, language = {en} } @article{WippertPuschmannArampatzisetal.2017, author = {Wippert, Pia-Maria and Puschmann, Anne-Katrin and Arampatzis, Adamantios and Schiltenwolf, Marcus and Mayer, Frank}, title = {Diagnosis of psychosocial risk factors in prevention of low back pain in athletes (MiSpEx)}, series = {BMJ Open Sport \& Exercise Medicine}, volume = {3}, journal = {BMJ Open Sport \& Exercise Medicine}, number = {1}, issn = {2055-7647}, doi = {10.1136/bmjsem-2017-000295}, year = {2017}, abstract = {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.}, language = {en} }