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Accuracy of an estimated core temperature algorithm for agricultural workers
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2022
Source: Arch Environ Occup Health. 77(10):809-818 -
Alternative Title:Arch Environ Occup Health
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Description:There is a substantial burden of occupational health effects from heat exposure. We sought to assess the accuracy of estimated core body temperature (CBT|) derived from an algorithm that uses sequential heart rate and initializing CBT,| compared with gastrointestinal temperature measured using more invasive ingestible sensors (CBT|), among outdoor agricultural workers. We analyzed CBT| and CBT| data from Washington State, USA, pear and apple harvesters collected across one work shift in 2015 (13,413 observations, 35 participants) using Bland Altman methods. The mean (standard deviation, range) CBT| was 37.7 (0.4, 36.5-39.4)°C. Overall CBT bias (limits of agreement) was -0.14 (±0.76)°C. Biases ranged from -0.006 to -0.75 °C. The algorithm, which does not require the use of ingestible sensors, may be a practical tool in research among groups of workers for evaluating the effectiveness of interventions to prevent adverse occupational heat health effects.
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Pubmed ID:35114899
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Pubmed Central ID:PMC9346099
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