Clothing and Equipment Fit Among Male and Female Canadian Armed Forces Members
Notice bibliographique
Résumé
INTRODUCTION: The fit of military clothing and equipment is essential for the health and safety of military operators. Given the aim of increasing the proportion of women and the known biological and morphological differences between male and female soldiers, an understanding of fit across different items of kit is needed. The aim of this study was to quantify subjective fit ratings of 8 items of military clothing and equipment, including combat shirt, combat pants, rucksack, small pack, tactical vest, fragmentation vest, helmet, and ballistic eyewear as a function of relative stature and occupational group among male and female Canadian Armed Forces members. MATERIALS AND METHODS: An online survey was distributed to male and female Canadian Armed Forces members, where fit was reported by participants according to a 7-point Likert acceptability scale. Participants were binned into 1 of 6 (3 males, 3 females) standing stature categories based on percentiles in a male and female distribution that included (1) under 35th percentile stature, (2) 35th to 80th percentile stature, and (3) over 80th percentile stature. Additionally, participants were separated according to occupational group: Group A: Infantry, Combat Engineer, Artillery, Armored; group B: Signals, Medical Technician, Intelligence, Signals Intelligence/Cyber Ops; group C: Supply Technician, Weapons Technician, Vehicle Technician, Electronic-Optronic Technician, Ammunition Technician; other: Not in other groups, examples include: Financial Services Administrator, Cook. This study was approved by the Defence Research and Development Canada Human Research Ethics Committee under protocol 2019-048, Amendment 2. RESULTS: There were significant effects attributable to stature category and occupational group on the fit of equipment. Specifically, fit acceptability of the rucksack helmet, small pack, and tactical vest was significantly affected by occupational group. Differences between stature categories were detected in all items with the exception of the small pack. CONCLUSIONS: Military equipment fit has previously been shown to have implications for protection, performance, and mobility. The results of the investigation demonstrate different patterns of fit acceptability in male and female soldiers across items of clothing and equipment and may require different solutions.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».