Luca Maestroni, Martin Rabey, Camilla Mariani, Vittoria Villa, Laura Landi, Alessia Rodi, Fabio Civera, Francesco Bettariga, Anthony Turner
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Univariable associations between PCS and PBAPI scores and each variable were assessed using linear regression. Variables with univariable associations where P < .05 were entered into multivariable regression models.</p><p><strong>Results: </strong>The final multivariable model including gender, recurrent and persistent pain, a history of a severe atraumatic injury, and a history of more than 5 atraumatic injuries explained 14.9% of the variance in PBAPI scores. Performing a team sport and a history of more than 5 atraumatic injuries explained 5.1% of the variance in PCS scores.</p><p><strong>Conclusions: </strong>Gender, sporting, and injury history characteristics explained only a small portion of the variance in PCS and PBAPI scores, whereas having received healthcare support and the number of appointments did not. Most of the variance was left unexplained.</p>","PeriodicalId":50041,"journal":{"name":"Journal of Sport Rehabilitation","volume":" ","pages":"1-8"},"PeriodicalIF":1.3000,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Pain Catastrophizing, Beliefs and Perception, and Their Association With Profiling Characteristics in Athletes.\",\"authors\":\"Luca Maestroni, Martin Rabey, Camilla Mariani, Vittoria Villa, Laura Landi, Alessia Rodi, Fabio Civera, Francesco Bettariga, Anthony Turner\",\"doi\":\"10.1123/jsr.2024-0122\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Context: </strong>Variables associated with pain catastrophizing and beliefs in athletes presenting with musculoskeletal pain and/or sports-related injuries are largely unexplored.</p><p><strong>Objective: </strong>We aimed to evaluate which anthropometric, sociodemographic, sporting, injury history, and care-seeking characteristics were associated with the Pain Catastrophizing Scale (PCS) and Pain Beliefs and Perceptions Inventory (PBAPI) scores in athletes.</p><p><strong>Design: </strong>This study followed a cross-sectional design.</p><p><strong>Methods: </strong>Three hundred and twelve athletes (40% females) from different sports and levels completed a questionnaire including demographic information, details regarding sports practice, injury history, health care use, PCS, and PBAPI. Univariable associations between PCS and PBAPI scores and each variable were assessed using linear regression. Variables with univariable associations where P < .05 were entered into multivariable regression models.</p><p><strong>Results: </strong>The final multivariable model including gender, recurrent and persistent pain, a history of a severe atraumatic injury, and a history of more than 5 atraumatic injuries explained 14.9% of the variance in PBAPI scores. Performing a team sport and a history of more than 5 atraumatic injuries explained 5.1% of the variance in PCS scores.</p><p><strong>Conclusions: </strong>Gender, sporting, and injury history characteristics explained only a small portion of the variance in PCS and PBAPI scores, whereas having received healthcare support and the number of appointments did not. 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Pain Catastrophizing, Beliefs and Perception, and Their Association With Profiling Characteristics in Athletes.
Context: Variables associated with pain catastrophizing and beliefs in athletes presenting with musculoskeletal pain and/or sports-related injuries are largely unexplored.
Objective: We aimed to evaluate which anthropometric, sociodemographic, sporting, injury history, and care-seeking characteristics were associated with the Pain Catastrophizing Scale (PCS) and Pain Beliefs and Perceptions Inventory (PBAPI) scores in athletes.
Design: This study followed a cross-sectional design.
Methods: Three hundred and twelve athletes (40% females) from different sports and levels completed a questionnaire including demographic information, details regarding sports practice, injury history, health care use, PCS, and PBAPI. Univariable associations between PCS and PBAPI scores and each variable were assessed using linear regression. Variables with univariable associations where P < .05 were entered into multivariable regression models.
Results: The final multivariable model including gender, recurrent and persistent pain, a history of a severe atraumatic injury, and a history of more than 5 atraumatic injuries explained 14.9% of the variance in PBAPI scores. Performing a team sport and a history of more than 5 atraumatic injuries explained 5.1% of the variance in PCS scores.
Conclusions: Gender, sporting, and injury history characteristics explained only a small portion of the variance in PCS and PBAPI scores, whereas having received healthcare support and the number of appointments did not. Most of the variance was left unexplained.
期刊介绍:
The Journal of Sport Rehabilitation (JSR) is your source for the latest peer-reviewed research in the field of sport rehabilitation. All members of the sports-medicine team will benefit from the wealth of important information in each issue. JSR is completely devoted to the rehabilitation of sport and exercise injuries, regardless of the age, gender, sport ability, level of fitness, or health status of the participant.
JSR publishes peer-reviewed original research, systematic reviews/meta-analyses, critically appraised topics (CATs), case studies/series, and technical reports that directly affect the management and rehabilitation of injuries incurred during sport-related activities, irrespective of the individual’s age, gender, sport ability, level of fitness, or health status. The journal is intended to provide an international, multidisciplinary forum to serve the needs of all members of the sports medicine team, including athletic trainers/therapists, sport physical therapists/physiotherapists, sports medicine physicians, and other health care and medical professionals.