Evidence map›Paper›PMID 40292971›Full record

ArticleSensors (Basel, Switzerland)2025

Continuous Monitoring of Recruits During Military Basic Training to Mitigate Attrition.

Robbe Decorte, Jelle Vanhaeverbeke, Sarah VanDen Berghe, Maarten Slembrouck, Steven Verstockt

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Robbe DecorteIDLab, Ghent University-Imec, Technologiepark-Zwijnaarde 122, 9052 Ghent, Belgium.ORCID 0000-0002-5788-7648
Jelle VanhaeverbekeIDLab, Ghent University-Imec, Technologiepark-Zwijnaarde 122, 9052 Ghent, Belgium.ORCID 0000-0002-6732-6502
Sarah VanDen BergheDepartment of Rehabilitation Sciences, Ghent University, C. Heymanslaan 10, 9000 Ghent, Belgium.ORCID 0009-0006-3214-5871
Maarten SlembrouckIDLab, Ghent University-Imec, Technologiepark-Zwijnaarde 122, 9052 Ghent, Belgium.ORCID 0000-0002-1822-3881
Steven VerstocktIDLab, Ghent University-Imec, Technologiepark-Zwijnaarde 122, 9052 Ghent, Belgium.ORCID 0000-0003-1094-2184

Funding

Belgian Ministry of Defence 22DEFRA002
6 · The paper itself

Abstract

This paper explores the use of wearable technology (Garmin Fenix 7) to monitor physiological and psychological factors contributing to attrition during basic military training. Attrition, or the voluntary departure of recruits from the military, often results from physical and psychological challenges, such as fatigue, injury, and stress, which lead to significant costs for the military. To better understand and mitigate attrition, we designed and implemented a comprehensive and continuous data-capturing methodology to monitor 63 recruits during their basic infantry training. It's optimized for military use by being minimally invasive (for both recruits and operators), preventing data leakage, and being built for scale. We analysed data collected from two test phases, focusing on seven key psychometric and physical features derived from baseline questionnaires and physiological measurements from wearable devices. The preliminary results revealed that recruits at risk of attrition tend to cluster in specific areas of the feature space in both Linear Discriminant Analysis (LDA) and Principal Component Analysis (PCA). Key indicators of attrition included low motivation, low resilience, and a stress mindset. Furthermore, we developed a predictive model using physiological data, such as sleep scores and step counts from Garmin devices, achieving a macro mean absolute error (MAE) of 0.74. This model suggests the potential to reduce the burden of daily wellness questionnaires by relying on continuous, unobtrusive monitoring.

Indexed as

Military PersonnelWearable Electronic DevicesAdultFemaleHumansMaleMonitoring, PhysiologicPrincipal Component AnalysisSurveys and QuestionnairesYoung AdultAIattritioncontinuous monitoringdata collectionmilitary trainingreadiness-to-performrisk predictionsmartwatch

Identifiers

PMID40292971
PMCPMC11945558

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.