Evidence map›Paper›PMID 41014161›Full record

ArticleMilitary medicine2026

Can Baseline Recruit Characteristics Predict Actual Injuries Sustained During New Zealand Army Basic Training?

Narelle Hall, Suzanne Kuys, Mark Brown, Belinda Beck, Michael Steele, Jacques Rousseau, Maria Constantinou

Abstract read
In one paragraph

Article in Military medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Narelle HallSchool of Allied Health, Faculty of Health Sciences, Australian Catholic University, Banyo, QLD 4014, Australia.
Suzanne KuysSchool of Allied Health, Faculty of Health Sciences, Australian Catholic University, Banyo, QLD 4014, Australia.
Mark BrownSchool of Allied Health, Faculty of Health Sciences, Australian Catholic University, Banyo, QLD 4014, Australia.
Belinda BeckSchool of Allied Health, Faculty of Health Sciences, Australian Catholic University, Banyo, QLD 4014, Australia.
Michael SteeleSchool of Allied Health, Faculty of Health Sciences, Australian Catholic University, Banyo, QLD 4014, Australia.
Jacques RousseauSchool of Allied Health, Faculty of Health Sciences, Australian Catholic University, Banyo, QLD 4014, Australia.
Maria ConstantinouSchool of Allied Health, Faculty of Health Sciences, Australian Catholic University, Banyo, QLD 4014, Australia.

Funding

1-year Agnes Whiten CommemorativeFellowships Fund IncFellowships Fund Inc.
6 · The paper itself

Abstract

introductionCertain army recruits entering basic training may be at heightened risk of injury. It is unknown if risk factors for lower limb injuries could be identified upon entry to basic training for New Zealand Army recruits. This study investigates if personal, lifestyle and physical performance characteristics reported at entry to training could identify recruits who go on to sustain a lower limb musculoskeletal injury during New Zealand Army basic training. MATERIALS AND

methodsRecruits' baseline personal (age, sex, and BMI), lifestyle (history of smoking and previous injury) and physical performance characteristics (2.4 km timed run outcome, ankle range of motion using the weight-bearing dorsiflexion lunge test and lower limb dynamic control using the Y Balance Test) were collected at entry to basic training. Backwards stepwise logistic regression analyses were undertaken to determine if baseline variables predicted the occurrence of an injury during basic training and to determine the optimal model of prediction. Significance was set to 0.10. This study was approved by Commander of TRADOC NZDF February 2012 and from Griffith University Human Research Ethics Committee May 2012 (PES/36/11/HREC).

resultsIn total 248 recruits, 228 males and 20 females, were eligible to participate in the study. Forty-six (18.5%) recruits had missing data thus, 202 (81.5%) remained for analysis. There were 114 recruits who reported one or more injuries, and 88 recruits reported no injury. Two variables were associated with injury risk in the final model: passing the 2.4 km timed run and Y Balance Test average normalized posterolateral reach for the right limb. This model accurately predicted 60.9% of recruits with 36 correctly assigned as not injured and 87 correctly assigned as injured.

conclusionsThis study identified that 2 physical performance characteristics were associated with lower limb injury in New Zealand Army recruits commencing basic training; not passing the entry 2.4 km timed run, and low right posterolateral Y Balance Test score for lower limb dynamic neuromuscular control. These findings suggest that physical performance screening may be used to identify recruits at high risk of injury entering training so that mitigation measures could be implemented to lower future injury risk.

Indexed as

Military PersonnelAdolescentAdultFemaleHumansLogistic ModelsLower ExtremityMaleNew ZealandRisk FactorsYoung Adult

Identifiers

PMID41014161
PMCPMC13016687

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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.