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Automated Landing Error Scoring System Performance and the Risk of Bone Stress Injury in Military Trainees.
Eckard, Timothy G; Miraldi, Story F P; Peck, Karen Y; Posner, Matthew A; Svoboda, Steven J; DiStefano, Lindsay J; Padua, Darin A; Marshall, Stephen W; Cameron, Kenneth L.
Affiliation
  • Eckard TG; Department of Physical Therapy, Western Carolina University, Cullowhee, NC.
  • Miraldi SFP; Proliance Surgeons: Puget Sound Orthopaedics, Lakewood, WA.
  • Peck KY; United States Military Academy at West Point, NY.
  • Posner MA; Keller Army Hospital, John A. Feagin, Jr Orthopaedic Sports Medicine Fellowship, West Point, NY.
  • Svoboda SJ; MedStar Georgetown University Hospital, Washington, DC.
  • DiStefano LJ; University of Connecticut, Storrs.
  • Padua DA; Department of Exercise and Sport Science.
  • Marshall SW; Department of Epidemiology, University of North Carolina at Chapel Hill.
  • Cameron KL; Keller Army Hospital, John A. Feagin, Jr Orthopaedic Sports Medicine Fellowship, West Point, NY.
J Athl Train ; 57(4): 334-340, 2022 Apr 01.
Article in En | MEDLINE | ID: mdl-34404093
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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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Military Personnel Type of study: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans Language: En Journal: J Athl Train Year: 2022 Document type: Article Affiliation country: New Caledonia

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Military Personnel Type of study: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans Language: En Journal: J Athl Train Year: 2022 Document type: Article Affiliation country: New Caledonia