Evidence map›Paper›PMID 32493512›Full record

ArticleMilitary Medical Research2020

Models to predict injury, physical fitness failure and attrition in recruit training: a retrospective cohort study.

Robin M Orr, Bruce S Cohen, Stephen C Allison, Lakmini Bulathsinhala, Edward J Zambraski, Mark Jaffrey

Abstract read
In one paragraph

Article in Military Medical Research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  13. BMI and Physical Activity, Military-Aged U.S. Population 2015-2020.American journal of preventive medicine · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Robin M OrrTactical Research Unit, Bond University, 2 Promethean Way, Gold Coast, Robina, QLD, 4226, Australia. rorr@bond.edu.au.ORCID 0000-0001-8297-8288
Bruce S CohenUnited States Army Research Institute for Environmental Medicine, Natick, MA, 01760, USA.
Stephen C AllisonUnited States Army Research Institute for Environmental Medicine, Natick, MA, 01760, USA.
Lakmini BulathsinhalaUnited States Army Research Institute for Environmental Medicine, Natick, MA, 01760, USA.
Edward J ZambraskiUnited States Army Research Institute for Environmental Medicine, Natick, MA, 01760, USA.
Mark JaffreyDefence Science and Technology Group, Port Melbourne, VIC, 3207, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAttrition rate in new army recruits is higher than in incumbent troops. In the current study, we identified the risk factors for attrition due to injuries and physical fitness failure in recruit training. A variety of predictive models were attempted.

methodsThis retrospective cohort included 19,769 Army soldiers of the Australian Defence Force receiving recruit training during a period from 2006 to 2011. Among them, 7692 reserve soldiers received a 28-day training course, and the remaining 12,077 full-time soldiers received an 80-day training course. Retrieved data included anthropometric measures, course-specific variables, injury, and physical fitness failure. Multivariate regression was used to develop a variety of models to predict the rate of attrition due to injuries and physical fitness failure. The area under the receiver operating characteristic curve was used to compare the performance of the models.

resultsIn the overall analysis that included both the 28-day and 80-day courses, the incidence of injury of any type was 27.8%. The 80-day course had a higher rate of injury if calculated per course (34.3% vs. 17.6% in the 28-day course), but lower number of injuries per person-year (1.56 vs. 2.29). Fitness test failure rate was significantly higher in the 28-day course (30.0% vs. 12.1%). The overall attrition rate was 5.2 and 5.0% in the 28-day and 80-day courses, respectively. Stress fracture was common in the 80-day course (n = 44) and rare in the 28-day course (n = 1). The areas under the receiver operating characteristic curves for the course-specific predictive models were relatively low (ranging from 0.51 to 0.69), consistent with "failed" to "poor" predictive accuracy. The course-combined models performed somewhat better than the course-specific models, with two models having AUC of 0.70 and 0.78, which are considered "fair" predictive accuracy.

conclusionAttrition rate was similar between 28-day and 80-day courses. In comparison to the 80-day full course, the 28-day course had a lower rate of injury but a higher number of injuries per person-year and of fitness test failure. These findings suggest fitness level at the commencement of training is a critically important factor to consider when designing the course curriculum, particularly short courses.

Indexed as

AdolescentAustraliaCohort StudiesExercise TestFemaleForecastingHumansMaleMilitary PersonnelPhysical FitnessRetrospective StudiesRisk AssessmentTeachingYoung AdultMilitary trainingPredictive modellingRisk managementSoldier

Identifiers

PMID32493512
PMCPMC7271478

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.