Evidence map›Paper›PMID 40404302›Full record

ReviewBMJ military health2025

Novel approaches to evaluate characteristics that affect military load carriage.

Ryan B Graham, A Mir-Orefice, M P Mavor, V G Bode, T L A Doyle, K R Kelly, A K Silverman, P H Sessoms

Abstract readReview
In one paragraph

Review in BMJ military health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. Article
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

8 authors.

Ryan B GrahamSchool of Human Kinetics, University of Ottawa Faculty of Health Sciences, Ottawa, Ontario, Canada.ORCID http://orcid.org/0000-0001-7502-8065
A Mir-OreficeSchool of Human Kinetics, University of Ottawa Faculty of Health Sciences, Ottawa, Ontario, Canada.ORCID http://orcid.org/0000-0003-1105-8462
M P MavorSchool of Human Kinetics, University of Ottawa Faculty of Health Sciences, Ottawa, Ontario, Canada.ORCID http://orcid.org/0000-0002-9350-1650
V G BodeUS Army Combat Capabilities and Development Command Soldier Center, Natick, Massachusetts, USA.
T L A DoylePerformance and Expertise Research Centre, Macquarie University, Sydney, New South Wales, Australia.ORCID http://orcid.org/0000-0002-1227-6835
K R KellyWarfighter Performance Department, US Naval Health Research Center, San Diego, California, USA.ORCID http://orcid.org/0000-0003-1510-2985
A K SilvermanDepartment of Mechanical Engineering, Colorado School of Mines, Golden, Colorado, USA.ORCID http://orcid.org/0000-0002-2228-4548
P H SessomsWarfighter Performance Department, US Naval Health Research Center, San Diego, California, USA pinata.h.sessoms.civ@health.mil.ORCID http://orcid.org/0000-0002-6960-0659

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Carrying heavy body-borne loads, an essential component of a service member's duties, is a significant injury risk factor. Physiological and biomechanical data can help illuminate the relationship between load carriage and injuries for service members. This review highlights characteristics that affect load carriage performance and summarises novel approaches to evaluate associated biomechanical changes. Personal characteristics, such as physical fitness and body composition, are good predictors of injury risk and load carriage ability. Effective training programmes can improve load carriage ability by altering fitness and body composition; however, careful planning is needed to integrate training with regular duties to prevent overtraining and, consequently, reduce injury risk in service members. Recent research supports the need for sex-specific training programmes since men and women achieve different training outcomes from similar stimuli. To further minimise injury risk, it is necessary to consider the effects of equipment characteristics (eg, load distribution, form and comfort) on physiological and biomechanical responses. Moreover, novel approaches to evaluate the effects of the various characteristics on load carriage performance are summarised in this review. Markerless motion capture and inertial measurement units have recently been used to evaluate kinematic changes while wearing various combat ensembles. Musculoskeletal modelling can complement kinematic analyses by evaluating internal joint mechanics during dynamic movements. By using frameworks that can leverage modelling approaches in real-time, service members can receive data-driven biofeedback on their load carriage performance and understand the loading experienced by their tissues to ultimately help mitigate their injury risks.

Indexed as

Military PersonnelWeight-BearingBiomechanical PhenomenaHumansMilitary PersonnelMusculoskeletal disordersOrthopaedic sports trauma

Identifiers

PMID40404302
PMCPMC12505055

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.