A cluster-based law enforcement body armor sizing system: Concept, procedure, and design practice.

Body armor Body shape Police

Journal

Applied ergonomics
ISSN: 1872-9126
Titre abrégé: Appl Ergon
Pays: England
ID NLM: 0261412

Informations de publication

Date de publication:
25 Jan 2024
Historique:
received: 30 06 2023
revised: 29 11 2023
accepted: 05 12 2023
medline: 27 1 2024
pubmed: 27 1 2024
entrez: 26 1 2024
Statut: aheadofprint

Résumé

Given the evolution of human body dimensions, the increasing diversity within the law enforcement workforce, the growing risks of assault faced by law enforcement officers (LEOs), and the absence of a national standard for body armor sizing, there is a critical need to explore LEO body size classification. This exploration will facilitate the development of an armor sizing structure that adequately accommodates the current LEO population. This study aimed to address this need by developing a LEO body armor sizing scheme and creating a sizing chart/app. Additionally, a plan was devised for a series of 'sizing vests' that would enhance LEO armor accommodation and facilitate fit assessment. Torso anthropometric data pertaining to body armor sizing were collected from 756 male and 218 female LEOs across different regions of the United States. Based on the collected data, a nine-size system for male LEOs and an eight-size scheme for female LEOs were suggested. Furthermore, a sizing chart/app was proposed to enable LEOs to swiftly identify an armor size that is most likely to fit an individual, considering a few anthropometric characteristics known to LEOs. To supplement the sizing chart/app, a series of 'sizing vests' were recommended. These vests would provide LEOs with a physical means to assess and determine the best-fitting armor size, offering an alternative to relying solely on the sizing chart/app. We recommend that armor manufacturers adopt these new sizing systems and create prototypes of armor that can be evaluated within this sizing structure. This evaluation process will facilitate improved fit and enhanced protection for LEOs.

Identifiants

pubmed: 38277868
pii: S0003-6870(23)00239-9
doi: 10.1016/j.apergo.2023.104201
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

104201

Informations de copyright

Copyright © 2023. Published by Elsevier Ltd.

Auteurs

Hongwei Hsiao (H)

Texas A&M University, Corpus Christi, TX, USA; National Institute for Occupational Safety and Health, Morgantown, WV, USA. Electronic address: hongwei.hsiao@tamucc.edu.

Tsui-Ying Kau (TY)

The Good Number Consulting Group, Inc., Ann Arbor, MI, USA.

Bruce Bradtmiller (B)

Anthrotech, Inc., Yellow Springs, OH, USA.

Classifications MeSH