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Are Cal/OSHA Regulations Protecting Farmworkers in California From Heat-Related Illness?


ABSTRACT:

Objective

Determine compliance with and effectiveness of California regulations in reducing farmworkers' heat-related illness (HRI) risk and identify main factors contributing to HRI.

Methods

In a cross-sectional study of Latino farmworkers, core body temperature (CBT), work rate, and environmental temperature (WBGT) were monitored over a work shift by individual ingestible thermistors, accelerometers, and weather stations, respectively. Multiple logistic modeling was used to identify risk factors for elevated CBT.

Results

Although farms complied with Cal/OSHA regulations, worker training of HRI prevention and hydration replacement rates were insufficient. In modeling (AOR [95% CI]) male sex (3.74 [1.22 - 11.54]), WBGT (1.22 [1.08 - 1.38]), work rate (1.004 [1.002 - 1.006]), and increased BMI (1.11 [1.10 - 1.29]) were all independently associated with elevated CBT.

Conclusion

Risk of HRI was exacerbated by work rate and environmental temperature despite farms following Cal/OSHA regulations.

SUBMITTER: Langer CE 

PROVIDER: S-EPMC8893044 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature

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Publications

Are Cal/OSHA Regulations Protecting Farmworkers in California From Heat-Related Illness?

Langer Chelsea Eastman CE   Mitchell Diane C DC   Armitage Tracey L TL   Moyce Sally C SC   Tancredi Daniel J DJ   Castro Javier J   Vega-Arroyo Alondra J AJ   Bennett Deborah H DH   Schenker Marc B MB  

Journal of occupational and environmental medicine 20210601 6


<h4>Objective</h4>Determine compliance with and effectiveness of California regulations in reducing farmworkers' heat-related illness (HRI) risk and identify main factors contributing to HRI.<h4>Methods</h4>In a cross-sectional study of Latino farmworkers, core body temperature (CBT), work rate, and environmental temperature (WBGT) were monitored over a work shift by individual ingestible thermistors, accelerometers, and weather stations, respectively. Multiple logistic modeling was used to iden  ...[more]

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