Automated Landing Error Scoring System Performance and the Risk of Bone Stress Injury in Military Trainees

自动着陆误差评分系统性能与军事训练人员骨应力损伤风险

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Abstract

CONTEXT: Lower extremity bone stress injuries (BSIs) place a significant burden on the health and readiness of the US Armed Forces. OBJECTIVE: To determine if preinjury baseline performance on an expanded and automated 22-item version of the Landing Error Scoring System (LESS-22) was associated with the incidence of BSIs in a military training population. DESIGN: Prospective cohort study. SETTING: US Military Academy at West Point, NY. PATIENTS OR OTHER PARTICIPANTS: A total of 2235 incoming cadets (510 females [22.8%]). MAIN OUTCOME MEASURE(S): Multivariable Poisson regression models were used to produce adjusted incidence rate ratios (IRRs) to quantify the association between preinjury LESS scores and BSI incidence rate during follow-up and were adjusted for pertinent risk factors. Risk factors were included as covariates in the final model if the 95% CI for the crude IRR did not contain 1.00. RESULTS: A total of 54 BSIs occurred during the study period, resulting in an overall incidence rate of 0.07 BSI per 1000 person-days (95% CI = 0.05, 0.09). The mean number of exposure days was 345.4 ± 61.12 (range = 3-368 days). The final model was adjusted for sex and body mass index and yielded an adjusted IRR for a LESS-22 score of 1.06 (95% CI = 1.002, 1.13; P = .04), indicating that each additional LESS error documented at baseline was associated with a 6.0% increase in the incidence rate of BSI during the follow-up period. In addition, 6 individual LESS-22 items, including 2 newly added items, were significantly associated with the BSI incidence. CONCLUSIONS: We provided evidence that performance on the expanded and automated version of the LESS was associated with the BSI incidence in a military training population. The automated LESS-22 may be a scalable solution for screening military training populations for BSI risk.

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