Literature DB >> 33400997

Sensory and Psychological Factors Predict Exercise-Induced Shoulder Injury Responses in a High-Risk Phenotype Cohort.

Katie A Butera1, Mark D Bishop1, Warren H Greenfield1, Roland Staud2, Margaret R Wallace3, Paul A Borsa4, Roger B Fillingim5, Steven Z George6.   

Abstract

Our prior studies identified a high-risk phenotype (ie, high pain sensitivity variant of the catechol-O-methyltransferase gene (Single Nucleotide Polymorphism [SNP] rs6269) and pain catastrophizing scores) for shoulder pain. The current study identified sensory and psychological predictors of heightened pain responses following exercise-induced shoulder injury. Healthy participants (N = 131) with the SNP rs6269 catechol-O-methyltransferase gene and Pain Catastrophizing Scale scores ≥5 underwent baseline sensory and psychological testing followed by an established shoulder fatigue protocol, to induce muscle injury. Movement-evoked pain, pain intensity, disability, and strength were assessed 24 hours postinjury. Demographic, sensory, and psychological variables were included as predictors in full and parsimonious models for each outcome. The highest variance explained was for the shoulder disability outcome (full model R2 = .20, parsimonious R2 = .13). In parsimonious models, the individual predictors identified were: 1) 1st pulse heat pain sensitivity for isometric shoulder movement-evoked pain and pain intensity; 2) pressure pain threshold for shoulder disability; 3) fear of pain for active shoulder movement-evoked pain and shoulder disability; and 4) depressive symptoms for shoulder strength. Findings indicate specific pain sensitivity and psychological measures may have additional prognostic value for self-reported disability within a high-risk phenotype. These findings should be tested in a clinical cohort for validation. PERSPECTIVE: The current study extends previous work by providing insight regarding how poor shoulder outcomes may develop within a high-risk phenotype. Specifically, 1st pulse heat pain sensitivity and pressure pain threshold were sensory measures, and fear of pain and depressive symptoms were psychological measures, that improved prediction of different shoulder outcomes.
Copyright © 2021 United States Association for the Study of Pain, Inc. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Pain sensitivity; genetic factors; precision medicine; psychosocial factors; quantitative sensory testing

Mesh:

Year:  2021        PMID: 33400997      PMCID: PMC8197727          DOI: 10.1016/j.jpain.2020.12.002

Source DB:  PubMed          Journal:  J Pain        ISSN: 1526-5900            Impact factor:   5.383


  41 in total

1.  Self-care behaviors for muscle pain.

Authors:  Erin A Dannecker; Christine M Gagnon; Rebecca L Jump; Jennifer L Brown; Michael E Robinson
Journal:  J Pain       Date:  2004-11       Impact factor: 5.820

2.  Optimal Screening for Prediction of Referral and Outcome (OSPRO) for Musculoskeletal Pain Conditions: Results From the Validation Cohort.

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

3.  The Number of Ratings Needed for Valid Pain Assessment in Clinical Trials: Replication and Extension.

Authors:  Mark P Jensen; Elena Castarlenas; Catarina Tomé-Pires; Rocío de la Vega; Elisabet Sánchez-Rodríguez; Jordi Miró
Journal:  Pain Med       Date:  2015-07-14       Impact factor: 3.750

4.  The effects of muscle fatigue on and the relationship of arm dominance to shoulder proprioception.

Authors:  M L Voight; J A Hardin; T A Blackburn; S Tippett; G C Canner
Journal:  J Orthop Sports Phys Ther       Date:  1996-06       Impact factor: 4.751

5.  Psychometric properties of the TSK-11: a shortened version of the Tampa Scale for Kinesiophobia.

Authors:  Steve R Woby; Neil K Roach; Martin Urmston; Paul J Watson
Journal:  Pain       Date:  2005-09       Impact factor: 6.961

6.  Inflammatory genes and psychological factors predict induced shoulder pain phenotype.

Authors:  Steven Z George; Jeffrey J Parr; Margaret R Wallace; Samuel S Wu; Paul A Borsa; Yunfeng Dai; Roger B Fillingim
Journal:  Med Sci Sports Exerc       Date:  2014-10       Impact factor: 5.411

7.  Evidence for a biopsychosocial influence on shoulder pain: pain catastrophizing and catechol-O-methyltransferase (COMT) diplotype predict clinical pain ratings.

Authors:  Steven Z George; Margaret R Wallace; Thomas W Wright; Michael W Moser; Warren H Greenfield; Brandon K Sack; Deborah M Herbstman; Roger B Fillingim
Journal:  Pain       Date:  2007-08-07       Impact factor: 6.961

8.  United States National Pain Strategy for Population Research: Concepts, Definitions, and Pilot Data.

Authors:  Michael Von Korff; Ann I Scher; Charles Helmick; Olivia Carter-Pokras; David W Dodick; Joseph Goulet; Robin Hamill-Ruth; Linda LeResche; Linda Porter; Raymond Tait; Gregory Terman; Christin Veasley; Sean Mackey
Journal:  J Pain       Date:  2016-07-01       Impact factor: 5.820

9.  Biopsychosocial Influences on Shoulder Pain: Analyzing the Temporal Ordering of Postoperative Recovery.

Authors:  Corey B Simon; Carolina Valencia; Rogelio A Coronado; Samuel S Wu; Zhigang Li; Yunfeng Dai; Kevin W Farmer; Michael M Moser; Thomas W Wright; Roger B Fillingim; Steven Z George
Journal:  J Pain       Date:  2019-12-28       Impact factor: 5.820

10.  Fear of Pain Questionnaire-9: Brief assessment of pain-related fear and anxiety.

Authors:  D W McNeil; S G Kennedy; C L Randall; S H Addicks; C D Wright; K G Hursey; R Vaglienti
Journal:  Eur J Pain       Date:  2017-07-31       Impact factor: 3.931

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