The ability of UK offshore workers of different body size and shape to egress through a restricted window space.

Autor: Stewart A; Faculty of Health and Social Care, Robert Gordon University, Aberdeen, UK. Electronic address: a.d.stewart@rgu.ac.uk., Ledingham R; Faculty of Health and Social Care, Robert Gordon University, Aberdeen, UK. Electronic address: r.ledingham1@rgu.ac.uk., Furnace G; Medical Advisor, Oil & Gas UK, The Exchange 2, 62 Market Street, Aberdeen, AB11 5PJ, UK. Electronic address: g.furnace@btinternet.com., Schranz N; Alliance for Research in Exercise, Nutrition and Activity (ARENA), School of Health Sciences, University of South Australia, City East Campus, Australia. Electronic address: natasha.schranz@mymail.unisa.edu.au., Nevill A; University of Wolverhampton, Faculty of Education, Health and Wellbeing Walsall Campus, Gorway Road, Walsall, WS1 3BD, UK. Electronic address: a.m.nevill@wlv.ac.uk.
Jazyk: angličtina
Zdroj: Applied ergonomics [Appl Ergon] 2016 Jul; Vol. 55, pp. 226-233. Date of Electronic Publication: 2015 Nov 21.
DOI: 10.1016/j.apergo.2015.11.005
Abstrakt: 404 male offshore workers aged 41.4 ± 10.7 y underwent 3D body scanning and an egress task simulating the smallest helicopter window emergency exit size. The 198 who failed were older (P < 0.01), taller (P < 0.05) and heavier (P < 0.0001) than the 206 who passed. Using all extracted dimensions from the scans, binary logistic regression identified a model (refined using backward elimination) which predicted egress outcome with 75.2% accuracy. Using only weight, bideltoid breadth and maximum chest depth, the model achieved ∼70% accuracy. When anatomical dimensions categorise individuals for small window egress, 25% or more will be misclassified, with false positives (those predicted to fail, but pass) slightly outnumbering false negatives (those predicted to pass, but fail), highlighting the limitations of a predictive approach which treats the body as a rigid object. Differences in flexibility and technique may explain these observations, which may be important considerations for future research.
(Copyright © 2015 Elsevier Ltd and The Ergonomics Society. All rights reserved.)
Databáze: MEDLINE
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