Effectiveness of Neuromuscular Training and Training Load Management Interventions for Reducing Injury and Attrition in Tactical Recruits: A Systematic Review With Meta-Analysis
The Journal of orthopaedic and sports physical therapy · 2026
NMT during recruit training looks protective against injury, but every pooled estimate in this review is rated very low certainty, so treat the numbers as a lead, not a verdict.
Die Studie
Systematic review with meta-analysis of 33 studies, n=49,062 tactical recruits (military, law enforcement, first responders).
Was sie fanden
Neuromuscular training (NMT) delivered during recruit training reduced medical-attention injuries (Log OR 0.520, 95% CI 0.226 to 0.815), equivalent to roughly 40% lower odds of injury in the intervention group, but did not significantly reduce attrition (Log OR 0.525, 95% CI -0.292 to 1.342). NMT delivered before recruit training showed no injury benefit, but that estimate's confidence interval is so wide (Log OR 0.487, 95% CI -2.216 to 3.190) that it is effectively uninformative rather than a confirmed null, and pre-training NMT may have increased attrition (Log OR -0.982, 95% CI -1.874 to -0.090). Training load management interventions did not significantly reduce injuries (Log OR 0.286, 95% CI -0.183 to 0.755). All four pooled outcomes were graded very low certainty, and the underlying studies mix quasi-experimental designs with RCTs, which is part of why certainty is so low.
Studiendesign
Intervention systematic review with meta-analysis, pooling quasi-experimental studies and RCTs, n=49,062 across 33 studies of tactical recruits aged 16 and over during initial training.
Methodik
Six databases searched from 2000 to 2025 with a clear protocol and inverse-variance random-effects pooling, which is appropriate given the expected heterogeneity across military and first-responder training programmes. The critical caveat sits in the conclusion itself: every pooled estimate is rated very low certainty, which in GRADE terms usually reflects high risk of bias in the primary studies (many quasi-experimental, non-randomised, cohort-assigned by unit rather than individual), inconsistency between studies, and imprecision from wide confidence intervals. Mixing non-randomised and randomised designs in recruit cohorts that self-select or get assigned administratively is a real confounding risk, and attrition itself is a competing-risk outcome (recruits who drop out can't then sustain a "medical-attention injury"), which complicates interpretation of both outcomes together.
Die Bewertung
The injury reduction with NMT during training is statistically significant and the point estimate (roughly 40% lower odds of injury) would be clinically worth having if trustworthy, but very low certainty evidence, drawn from a mix of quasi-experimental and randomised designs, means this could easily shrink or vanish with better-quality trials, so it should not be read as settled science. The pre-training attrition signal is a genuine safety flag worth knowing, but its confidence interval only just excludes the null and rests on indirect, cross-study comparison of timing rather than a head-to-head trial, so causal attribution is shaky. Separately, the pre-training injury estimate's confidence interval (-2.216 to 3.190) is so wide that it carries almost no information either way, it should be read as 'we don't know', not as evidence that pre-training NMT doesn't help.
Die Lücke
Every outcome in this review is very low certainty, so we genuinely don't know whether these effects reflect true programme benefits or bias and confounding baked into the primary studies. Properly randomised, adequately powered trials within specific tactical training pipelines, with blinded injury adjudication and consistent NMT dosing, are needed before trusting the effect sizes.
Referenzstudie
This sits alongside the broader tactical-athlete injury prevention literature (work on load monitoring and injury surveillance in military recruits by groups like Orr and colleagues) and extends general sport NMT injury-prevention evidence (in the FIFA 11+ tradition) into occupational settings where attrition, not just injury, is a primary outcome of interest.
Was am Montag zu tun ist
For S&C or rehab staff embedded with recruit training units, this supports continuing NMT programming delivered during training as one component of injury mitigation, built with proper specificity and progressive overload since the reviewed programmes generally lacked both. It does not support adding a standalone pre-induction NMT block: the evidence doesn't show it helps injury rates, and there is a signal, not yet a tight one, that it may raise attrition risk, so if a pre-induction block already exists, track early-course dropout closely. Training load management alone is not supported as a stand-alone injury-reduction strategy, it should sit alongside NMT rather than replace it. Given every pooled estimate here is very low certainty, this shouldn't be sold internally as strong evidence, just a reasonable, low-risk prior to act on while tracking your own injury and attrition data.
In practice
This applies to any recruit cohort, military, police, fire, or similar group-selection pipelines, where staff are deciding when and how to layer NMT into the training calendar. On the S&C floor: keep NMT embedded inside the training block itself (landing and change-of-direction mechanics, hip and core control, 2 to 3x weekly), build in real progression and task-specificity rather than the generic circuits most underlying trials used, and if a pre-induction NMT camp already exists, watch weeks 1 to 2 dropout rates closely rather than assuming it's protective. In the clinic: don't pitch training load caps or rest-day mandates alone as your injury-prevention plan to command or coaching staff, they didn't move the needle here, NMT is doing the work. Caveat in applying this: because certainty is very low and some underlying trials weren't randomised, treat this as licence to keep doing good NMT programming, not as proof it will replicate in your specific population, so log your own injury and attrition numbers as you go.
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