Musculoskeletal injuries in US Air Force Tactical Air Control Party trainees: an 11-year longitudinal retrospective cohort study and presentation of a musculoskeletal injury classification matrix

• Published in: BMJ military health 2023-05, Vol.170 (e2), p.e91
• Main Authors: Hando, Ben R, Bryant, J, Pav, V, Haydu, L, Hogan, K, Mata, J, Butler, C
• Format: Article
• Language: English
• Subjects: Adult; Body mass index; Candidates; Classification; Codes; Cohort analysis; Cohort Studies; Comorbidity; Datasets; EPIDEMIOLOGY; Female; Health informatics; Humans; Incidence; Information management; Injuries; Longitudinal Studies; Male; Medical screening; Military personnel; Military Personnel - statistics & numerical data; Musculoskeletal disorders; Musculoskeletal System - injuries; Original research; Physical therapists; Proportional Hazards Models; Retrospective Studies; Special forces; Surveillance; Taxonomy; United States - epidemiology
• ISSN: 2633-3767; 2633-3775; 2633-3775
• DOI: 10.1136/military-2023-002417

IntroductionLittle is known of the epidemiology of musculoskeletal injuries (MSKIs) in US Air Force Special Warfare (AFSPECWAR) Tactical Air Control Party trainees. The purpose of this longitudinal retrospective cohort study was to (1) report the incidence and type of MSKI sustained by AFSPECWAR trainees during and up to 1 year following training, (2) identify factors associated with MSKI, and (3) develop and present the MSKI classification matrix used to identify and categorise injuries in this study.MethodsTrainees in the Tactical Air Control Party Apprentice Course between fiscal years 2010–2020 were included. Diagnosis codes were classified as MSKI or non-MSKI using a classification matrix. Incidence rates and incidence proportion for injury types and regions were calculated. Measures were compared for differences between those who did and did not sustain an MSKI during training. A Cox proportional hazards model was used to identify factors associated with MSKI.ResultsOf the 3242 trainees, 1588 (49%) sustained an MSKI during training and the cohort sustained MSKIs at a rate of 16 MSKI per 100 person-months. Overuse/non-specific lower extremity injuries predominated. Differences were seen in some baseline measures between those who did and did not sustain an MSKI. Factors retained in the final Cox regression model were age, 1.5-mile run times and prior MSKI.ConclusionSlower run times and higher age were associated with an increased likelihood of MSKI. Prior MSKI was the strongest predictor of MSKI during training. Trainees sustained MSKIs at a higher rate than graduates in their first year in the career field. The MSKI matrix was effective in identifying and categorising MSKI over a prolonged (12-year) surveillance period and could be useful for future injury surveillance efforts in the military or civilian settings. Findings from this study could inform future injury mitigation efforts in military training environments.