U.S. flag An official website of the United States government.
Official websites use .gov

A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS

A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

i

Predicting Compensable Versus Uncompensable Heat Stress from Physiological State



Details

  • Personal Author:
  • Description:
    The level of heat stress is dictated by environment, metabolic rate, and clothing. The physiological state in response to the heat stress can be seen in heart rate, core temperature, and skin temperature. A convenience set of data was used to examine the ability of physiological state to predict level of heat stress (i.e., compensable vs. uncompensable). The study trials were designed to find the transition point between compensable and uncompensable heat stress as it relates to environment, clothing, and work demands. The individual trials began with a low level of heat stress that allowed a physiological steady-state to be established, and then the environmental contribution was increased in small steps every 5 minutes. The upper limit of compensable heat stress was identified as the critical level of heat stress, and the physiological state noted. The physiological states at 15 min prior to and after the critical level were also noted. The pre-critical and critical levels were compensable heat stress and the post-critical level was uncompensated heat stress. The data set included 1461 observations over gender, 10 clothing ensembles, and 3 levels of metabolic rate. Logistical regression was used to predict the level of heat stress from the independent variables of skin temperature, core temperature, and heart rate along with potential effect modifiers of gender, clothing, and metabolic demands. Significant predictors were heart rate, skin temperature, gender, and metabolic demands. Most of the predictive power was in heart rate, skin temperature, and gender; skin temperature was the single best predictor. The results tentatively point to novel methods of personal monitoring and reporting risk in real time. [Description provided by NIOSH]
  • Subjects:
  • Keywords:
  • Publisher:
  • Document Type:
  • Funding:
  • Genre:
  • Place as Subject:
  • CIO:
  • Topic:
  • Location:
  • Pages in Document:
    40
  • NIOSHTIC Number:
    nn:20057940
  • Citation:
    American Industrial Hygiene Conference and Exposition, May 8-13, 2004, Atlanta, Georgia. Fairfax, VA: American Industrial Hygiene Association, 2004 May; :40
  • Federal Fiscal Year:
    2004
  • Performing Organization:
    University of South Florida, Tampa, Florida
  • Peer Reviewed:
    False
  • Start Date:
    20000930
  • Source Full Name:
    American Industrial Hygiene Conference and Exposition, May 8-13, 2004, Atlanta, Georgia
  • End Date:
    20040929
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:b044149032fd9372dbd8de2bc78d5099de1b41796559835094e21c936b37362040d7876c0c4e9ca34f9375dbbeec11f47fb61034fd3599a9f6cdfe96c8d99a3a
  • Download URL:
  • File Type:
    Filetype[PDF - 314.43 KB ]
ON THIS PAGE

CDC STACKS serves as an archival repository of CDC-published products including scientific findings, journal articles, guidelines, recommendations, or other public health information authored or co-authored by CDC or funded partners.

As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.