LanguageTerm (authority = ISO 639-3:2007); (type = text)
English
Abstract
The US military operate in complex and harsh environments with regular risks of succumbing to heat- or cold-related injuries that could have both negative mission and individual health consequences. Objective and Methods: This effort collects human rest and exercise-based research data to compare and validate methods and mixed modeling approaches to provide a clear outline of predictive methods for determining physiological responses to hot and cold exposure (e.g., rise or fall in skin and core body temperatures) based on individual, environment, clothing, and activity. Data: This study collects human and non-human (clothing biophysics) data. Human research data used is from individuals during rest and exercise exposed to hot and cold environments (n = 51); while clothing data is a full range of clothing tested on sweating thermal manikins for measures of thermal and evaporative resistance (n = 93). From this combined data, the goal is test equations or methods for predicting general risk of heat- and cold- related injuries based on individual inputs. Two assessments are conducted, one to assess heat stress predictions (rise of core body temperature) and a second for assessing cold stress predictions (skin temperature fall). Conclusions: Analyses in the heat stress assessment showed empirical methods are capable of predicting within acceptable accuracy rise in core body temperature from group mean data; while individual-based predictions have been shown to be accurate to within an acceptable bias of ± 0.27°C for both in hot and humid environments laboratory (-0.10 ± 0.36) and field conditions (0.23 ± 0.32). Both rational and empirical methods were shown to acceptably predict skin temperatures to within the observed standard deviation (23.14 ± 9.35) (bias, -0.77 ± 3.69°C; MAE, 2.22 ± 3.05°C; and RMSE, 1.49 ± 3.05°C).
Subject (authority = RUETD)
Topic
Biomedical Informatics
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_10127
PhysicalDescription
Form (authority = gmd)
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
1 online resource (106 pages) : illustrations
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Subject (authority = local)
Topic
Physiology
Subject (authority = LCSH)
Topic
Body temperature
Subject (authority = LCSH)
Topic
Soldiers -- Health risk assessment
RelatedItem (type = host)
TitleInfo
Title
School of Health Professions ETD Collection
Identifier (type = local)
rucore10007400001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.