Katie A Butera1, Trevor A Lentz2, Jason M Beneciuk3, Steven Z George4. 1. K.A. Butera, PT, DPT, Department of Physical Therapy, University of Florida, PO Box 100154, Gainesville, FL 32610-0154 (USA), and Brooks-PHHP Research Collaboration, University of Florida, Gainesville, Florida. kbutera@ufl.edu. 2. T.A. Lentz, PT, SCS, Department of Physical Therapy, University of Florida, and UF Health Shands Rehab Center, University of Florida Orthopaedics and Sports Medicine Institute, Gainesville, Florida. 3. J.M. Beneciuk, PT, PhD, MPH, Department of Physical Therapy, University of Florida, and Brooks-PHHP Research Collaboration, University of Florida. 4. S.Z. George, PT, PhD, Doctor of Physical Therapy Program, Department of Physical Therapy, University of Florida, and Brooks-PHHP Research Collaboration, University of Florida.
Abstract
BACKGROUND: The STarT Back Screening Tool is a validated multidimensional screening measure and risk stratification tool for people with low back pain. OBJECTIVE: The study objective was to compare relationships between a modified STarT Back Screening Tool (mSBT) and clinical and psychological measures in people with low back, neck, shoulder, and knee pain. The hypothesis was that the relationships between mSBT scores and clinical and psychological measure scores would be similar across the included musculoskeletal pain conditions. DESIGN: A cross-sectional, secondary analysis was done in this study. METHODS: Participants with low back (n=118), neck (n=92), shoulder (n=106), or knee (n=111) pain were recruited, and an mSBT was developed for use across the pain conditions. Separate hierarchical linear regression models were developed, with clinical (health status, pain intensity, and disability) and psychological (kinesiophobia, catastrophizing, fear avoidance, anxiety, depressive symptoms, and self-efficacy) measures as dependent variables. Demographic and pain region variables were entered in the first step, mSBT scores were entered in the second step, and pain region × mSBT interactions were entered in the last step. RESULTS: In the final models, no interactions were identified, suggesting that dependent measure scores did not differ by pain region. The strongest contributor for all dependent variables was mSBT scores (β=|0.32|-|0.68|); higher mSBT scores were associated with poorer health status and self-efficacy and with higher levels of pain intensity, disability, kinesiophobia, catastrophizing, fear avoidance, anxiety, and depressive symptoms. LIMITATIONS: Generalizability was restricted to physical therapy outpatients with the included pain conditions. The mSBT used in this study is not ready for clinical implementation. CONCLUSIONS: The results of this study support the feasibility of using a single measure for concise risk assessment across different musculoskeletal pain conditions. Further longitudinal studies are needed to better direct the clinical use of an mSBT in people with low back, neck, shoulder, and knee pain.
BACKGROUND: The STarT Back Screening Tool is a validated multidimensional screening measure and risk stratification tool for people with low back pain. OBJECTIVE: The study objective was to compare relationships between a modified STarT Back Screening Tool (mSBT) and clinical and psychological measures in people with low back, neck, shoulder, and knee pain. The hypothesis was that the relationships between mSBT scores and clinical and psychological measure scores would be similar across the included musculoskeletal pain conditions. DESIGN: A cross-sectional, secondary analysis was done in this study. METHODS:Participants with low back (n=118), neck (n=92), shoulder (n=106), or knee (n=111) pain were recruited, and an mSBT was developed for use across the pain conditions. Separate hierarchical linear regression models were developed, with clinical (health status, pain intensity, and disability) and psychological (kinesiophobia, catastrophizing, fear avoidance, anxiety, depressive symptoms, and self-efficacy) measures as dependent variables. Demographic and pain region variables were entered in the first step, mSBT scores were entered in the second step, and pain region × mSBT interactions were entered in the last step. RESULTS: In the final models, no interactions were identified, suggesting that dependent measure scores did not differ by pain region. The strongest contributor for all dependent variables was mSBT scores (β=|0.32|-|0.68|); higher mSBT scores were associated with poorer health status and self-efficacy and with higher levels of pain intensity, disability, kinesiophobia, catastrophizing, fear avoidance, anxiety, and depressive symptoms. LIMITATIONS: Generalizability was restricted to physical therapy outpatients with the included pain conditions. The mSBT used in this study is not ready for clinical implementation. CONCLUSIONS: The results of this study support the feasibility of using a single measure for concise risk assessment across different musculoskeletal pain conditions. Further longitudinal studies are needed to better direct the clinical use of an mSBT in people with low back, neck, shoulder, and knee pain.
Authors: Jason M Beneciuk; Mark D Bishop; Julie M Fritz; Michael E Robinson; Nabih R Asal; Anne N Nisenzon; Steven Z George Journal: Phys Ther Date: 2012-11-02
Authors: Steven Z George; Jason M Beneciuk; Trevor A Lentz; Samuel S Wu; Yunfeng Dai; Joel E Bialosky; Giorgio Zeppieri Journal: J Orthop Sports Phys Ther Date: 2018-04-07 Impact factor: 4.751
Authors: Alison M Thorpe; Peter B O'Sullivan; Tim Mitchell; Mark Hurworth; Jonathan Spencer; Grant Booth; Sven Goebel; Paul Khoo; Aaron Tay; Anne Smith Journal: Clin Orthop Relat Res Date: 2018-10 Impact factor: 4.176
Authors: Jason M Beneciuk; Dorothy Verstandig; Chuck Taylor; Doug Scott; Joan Levin; Raine Osborne; Joel E Bialosky; Trevor A Lentz; Tava Buck; Anita L Davis; Christina Harder; Monika B Beneciuk; Virgil Wittmer; James Sylvester; Robert Rowe; David McInnes; Tad P Fisher; Lisa McGarrie Journal: Res Involv Engagem Date: 2020-06-01