Novel Analytic Methods Needed for Real-Time Continuous Core Body Temperature Data

Details

• Alternative Title:
  West J Nurs Res
• Personal Author:
  Hertzberg, Vicki ; Mac, Valerie ; Elon, Lisa ; Mutic, Nathan ; Mutic, Abby ; Peterman, Katherine ; Tovar-Aguilar, J. Antonio ; Economos, Jeannie ; Flocks, Joan ; McCauley, Linda
• Description:
  Affordable measurement of core body temperature (T|) in a continuous, real-time fashion is now possible. With this advance comes a new data analysis paradigm for occupational epidemiology. We characterize issues arising after obtaining T| data over 188 workdays for 83 participating farmworkers, a population vulnerable to effects of rising temperatures due to climate change. We describe a novel approach to these data using smoothing and functional data analysis. This approach highlights different data aspects compared with describing T| at a single time point or summaries of the time course into an indicator function (e.g., did T| ever exceed 38 °C, the threshold limit value for occupational heat exposure). Participants working in ferneries had significantly higher T| at some point during the workday compared with those working in nurseries, despite a shorter workday for fernery participants. Our results typify the challenges and opportunities in analyzing Big Data streams from real-time physiologic monitoring.
• Subjects:
  Agriculture Industry Article Core Body Temperature Environmental Epidemiology Farmworker Functional Data Analysis Heat-related Illness Heat Stress LOESS Occupational Epidemiology Smoothing

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• Source:
  West J Nurs Res. 39(1):95-111
• Pubmed ID:
  27756853
• Pubmed Central ID:
  PMC5797491
• Document Type:
  Journal Article
• Funding:
  R01 OH010657/OH/NIOSH CDC HHS/United States ; T32 NR012715/NR/NINR NIH HHS/United States
• Volume:
  39
• Issue:
  1
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha256:e3bcb2bb2888fe640babb6617800cc93088bde8994f5819a80cf2c9e43d79a4a
• Download URL:
  https://stacks.cdc.gov/view/cdc/51423/cdc_51423_DS1.pdf
• File Type:
  [PDF - 803.18 KB ]