Alondra J Vega-Arroyo1, Diane C Mitchell2, Javier R Castro2, Tracey L Armitage1, Daniel J Tancredi3, Deborah H Bennett1, Marc B Schenker1. 1. Department of Public Health Sciences, School of Medicine, University of California, Davis, California. 2. Center for Health and the Environment, University of California, Davis, California. 3. Department of Pediatrics and Center for Healthcare Policy and Research, University of California, Davis Medical School, Sacramento, California.
Abstract
BACKGROUND: The primary aim of this study was to investigate the effects of work rate, hydration status, and clothing on core body temperature (CBT) on California farmworkers. METHODS: Two hundred and eighty-seven farmworkers were recruited in Summer 2015, with 259 participants having sufficient data for analysis. We collected CBT, ambient temperature, work rate, body weight loss, and clothing worn by each participant throughout the work day and demographic data from a questionnaire. RESULTS: Multiple regression with CBT as the outcome was used to determine the adjusted associations between CBT, environmental heat load, and worker characteristics. The multivariate regression model showed statistically significant associations of CBT with work rate (β = .006, 95% CI [0.004, 0.009]) and wet-bulb globe temperature (β = .03, 95% CI [0.017, 0.05]). CONCLUSION: Results suggest that among our population workload is the primary modifiable risk factor for heat-related illness. As expected, the ambient temperature was also associated with higher risk.
BACKGROUND: The primary aim of this study was to investigate the effects of work rate, hydration status, and clothing on core body temperature (CBT) on California farmworkers. METHODS: Two hundred and eighty-seven farmworkers were recruited in Summer 2015, with 259 participants having sufficient data for analysis. We collected CBT, ambient temperature, work rate, body weight loss, and clothing worn by each participant throughout the work day and demographic data from a questionnaire. RESULTS: Multiple regression with CBT as the outcome was used to determine the adjusted associations between CBT, environmental heat load, and worker characteristics. The multivariate regression model showed statistically significant associations of CBT with work rate (β = .006, 95% CI [0.004, 0.009]) and wet-bulb globe temperature (β = .03, 95% CI [0.017, 0.05]). CONCLUSION: Results suggest that among our population workload is the primary modifiable risk factor for heat-related illness. As expected, the ambient temperature was also associated with higher risk.
Authors: Taylor J Arnold; Thomas A Arcury; Joanne C Sandberg; Sara A Quandt; Jennifer W Talton; Dana C Mora; Gregory D Kearney; Haiying Chen; Melinda F Wiggins; Stephanie S Daniel Journal: New Solut Date: 2020-04-29
Authors: Diana Marquez; Jennifer E Krenz; Érica Chavez Santos; Elizabeth Torres; Pablo Palmández; Paul D Sampson; Maria Blancas; Jose Carmona; June T Spector Journal: J Agromedicine Date: 2022-04-17 Impact factor: 1.992
Authors: Moussa El Khayat; Dana A Halwani; Layal Hneiny; Ibrahim Alameddine; Mustapha A Haidar; Rima R Habib Journal: Front Public Health Date: 2022-02-08
Authors: Erica Chavez Santos; June T Spector; Jared Egbert; Jennifer Krenz; Paul D Sampson; Pablo Palmández; Elizabeth Torres; Maria Blancas; Jose Carmona; Jihoon Jung; John C Flunker Journal: BMC Public Health Date: 2022-09-15 Impact factor: 4.135
Authors: Christopher L Chapman; Hayden W Hess; Rebekah A I Lucas; Jason Glaser; Rajiv Saran; Jennifer Bragg-Gresham; David H Wegman; Erik Hansson; Christopher T Minson; Zachary J Schlader Journal: Am J Physiol Regul Integr Comp Physiol Date: 2021-06-23 Impact factor: 3.210
Authors: Chelsea Eastman Langer; Diane C Mitchell; Tracey L Armitage; Sally C Moyce; Daniel J Tancredi; Javier Castro; Alondra J Vega-Arroyo; Deborah H Bennett; Marc B Schenker Journal: J Occup Environ Med Date: 2021-06-01 Impact factor: 2.162