The effect of the participatory heat education and awareness tools (HEAT) intervention on agricultural worker physiological heat strain: results from a parallel, comparison, group randomized study

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, 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

Abstract

Background: Farmworkers are at risk of heat-related illness (HRI). We sought to: 1) evaluate the effectiveness of farmworker Spanish/English participatory heat education and a supervisor decision-support mobile application (HEAT intervention) on physiological heat strain; and 2) describe factors associated with HRI symptoms reporting.

Methods: We conducted a parallel, comparison group intervention study from May-September of 2019 in Central/Eastern Washington State, USA. We used convenience sampling to recruit adult outdoor farmworkers and allocated participating crews to intervention (n = 37 participants) and alternative-training comparison (n = 38 participants) groups. We measured heat strain monthly using heart rate and estimated core body temperature to compute the maximum work-shift physiological strain index (PSImax) and assessed self-reported HRI symptoms using a weekly survey. Multivariable linear mixed effects models were used to assess associations of the HEAT intervention with PSImax, and bivariate mixed models were used to describe factors associated with HRI symptoms reported (0, 1, 2+ symptoms), with random effects for workers.

Results: We observed larger decreases in PSImax in the intervention versus comparison group for higher work exertion levels (categorized as low, low/medium-low, and high effort), after adjustment for maximum work-shift ambient Heat Index (HImax), but this was not statistically significant (interaction - 0.91 for high versus low/medium-low effort, t = - 1.60, p = 0.11). We observed a higher PSImax with high versus low/medium-low effort (main effect 1.96, t = 3.81, p < 0.001) and a lower PSImax with older age (- 0.03, t = - 2.95, p = 0.004), after covariate adjustment. There was no clear relationship between PSImax and the number of HRI symptoms reported. Reporting more symptoms was associated with older age, higher HImax, 10+ years agricultural work, not being an H-2A guest worker, and walking > 3 min to get to the toilet at work.

Conclusions: Effort level should be addressed in heat management plans, for example through work/rest cycles, rotation, and pacing, in addition to education and other factors that influence heat stress. Both symptoms and indicators of physiological heat strain should be monitored, if possible, during periods of high heat stress to increase the sensitivity of early HRI detection and prevention. Structural barriers to HRI prevention must also be addressed.

Trial registration: ClinicalTrials.gov Registration Number: NCT04234802 , date first posted 21/01/2020.

Keywords: Agricultural workers; Core body temperature; Heat education and awareness tools (HEAT); Heat strain; Heat stress; Heat-related illness; Intervention study; Physiological strain index.

Conflict of interest statement

The authors declare that they have no competing interests.

© 2022. The Author(s).

Figures

Fig. 1
Fig. 1
Study flow
Fig. 2
Fig. 2
Scatter plot of maximum Heat Index and PSI by effort level. Lines are unadjusted regression lines using linear models
Fig. 3
Fig. 3
Box plot of maximum PSI by effort and group status. C = comparison; I = intervention groups
Fig. 4
Fig. 4
Box plot of maximum PSI by number of reported HRI symptomsa. aN = 65 unique participants with PSI and HRI symptoms data within a week of field PSI measurement, 121 observations

References

    1. Gubernot DM, Anderson GB, Hunting KL. Characterizing occupational heat-related mortality in the United States, 2000-2010: an analysis using the census of fatal occupational injuries database. Am J Ind Med. 2015;58:203–211. doi: 10.1002/ajim.22381.
    1. Binazzi A, Levi M, Bonafede M, Bugani M, Messeri A, Morabito M, et al. Evaluation of the impact of heat stress on the occurrence of occupational injuries: Meta-analysis of observational studies. Am J Ind Med. 2019;62:233–243. doi: 10.1002/ajim.22946.
    1. Spector JT, Masuda YJ, Wolff NH, Calkins M, Seixas N. Heat exposure and occupational injuries: review of the literature and implications. Current environmental. Health Rep. 2019;6. 10.1007/s40572-019-00250-8.
    1. Moyce S, Joseph J, Tancredi D, Mitchell D, Schenker M. Cumulative incidence of acute kidney injury in California’s agricultural workers. J Occup Environ Med. 2016;58:391–397. doi: 10.1097/JOM.0000000000000668.
    1. Shi DS, Weaver VM, Hodgson MJ, Tustin AW. Hospitalised heat-related acute kidney injury in indoor and outdoor workers in the USA. Occup Environ Med. 2022;79(3):184–191. doi: 10.1136/OEMED-2021-107933.
    1. US Bureau of Labor Statistics . Work injuries in the heat in 2015. The Economics Daily; 2017.
    1. Hesketh M, Wuellner S, Robinson A, Adams D, Smith C, Bonauto D. Heat related illness among workers in Washington state: a descriptive study using workers’ compensation claims, 2006-2017. Am J Ind Med. 2020;63:300–311. doi: 10.1002/AJIM.23092.
    1. Wuellner SE, Adams DA, Bonauto DK. Workers’ compensation claims not reported in the survey of occupational injuries and illnesses: injury and claim characteristics. Am J Ind Med. 2017;60:264–275. doi: 10.1002/AJIM.22685.
    1. Thierry AD, Snipes SA. Why do farmworkers delay treatment after debilitating injuries? Thematic analysis explains if, when, and why farmworkers were treated for injuries. Am J Ind Med. 2015;58:178–192. doi: 10.1002/AJIM.22380.
    1. IPCC. Climate Change 2022: Impacts, Adaptation, and Vulnerability. Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [H.-O. Pörtner, D.C. Roberts, M. Tignor, E.S. Poloczanska, K. Mintenbeck, A. Alegría, M. Craig, S. Langsdorf, S. Löschke, V. Möller, A. Okem, B. Rama (eds.)]. Cambridge, United Kingdom and New York, NY: Cambridge University Press; In Press.
    1. Grzywacz JG, Gonzales-Backen M, Liebman A, Marín AJ, Trejo M, Gudino CO, et al. Attending to pesticide exposure and heat illness among farmworkers: results from an attention placebo-controlled evaluation design. J Occup Environ Med. 2019;61:735–742. doi: 10.1097/JOM.0000000000001650.
    1. Marquez D, Krenz JE, Chavez Santos E, Torres E, Palmandez P, Sampson PD, et al. The effect of participatory heat education on agricultural worker knowledge. J Agromed. 2022;1-12. 10.1080/1059924X.2022.2058667.
    1. Chicas R, Xiuhtecutli N, Elon L, Scammell MK, Steenland K, Hertzberg V, et al. Cooling interventions among agricultural workers: a pilot study. Workplace Health & Safety. 2021;69(7):315–322. doi: 10.1177/2165079920976524.
    1. Chicas R, Suarez J, Elon L, Xiuhtecutli N, Houser MC. Hydration interventions among agricultural workers: a pilot study. J Occup Environ Med. 2022. 10.1097/JOM.0000000000002531.
    1. Luque JS, Bossak BH, Davila CB, Tovar-Aguilar JA. “I think the temperature was 110 degrees!”: work safety discussions among Hispanic farmworkers. J Agromed. 2019;24:15–25. doi: 10.1080/1059924X.2018.1536572.
    1. Luque JS, Becker A, Bossak BH, Grzywacz JG, Tovar-Aguilar JA, Guo Y. Knowledge and practices to avoid heat-related illness among Hispanic farmworkers along the Florida-Georgia line. J Agromed. 2020;25:190–200. doi: 10.1080/1059924X.2019.1670312.
    1. Eggeling J, Rydenfält C, Kingma B, Toftum J, Gao C. The usability of ClimApp: a personalized thermal stress warning tool. Climate Services. 2022;27:100310. doi: 10.1016/j.cliser.2022.100310.
    1. Wegman DH, Apelqvist J, Bottai M, Ekström U, García-Trabanino R, Glaser J, et al. Intervention to diminish dehydration and kidney damage among sugarcane workers. Scand J Work Environ Health. 2018;44:16–24. doi: 10.5271/sjweh.3659.
    1. Washington State Legislature. Chapter 296–62 WAC: General Occupational Health Standards. 2008. . Accessed April 25, 2022.
    1. Washington State Legislature. Chapter 296–307 WAC Safety Standards for Agriculture. 2009. . Accessed April 25, 2022.
    1. California Division of Occupational Safety and Health. California Code of Regulations, Title 8, Section 3395 Heat illness Prevention. 2005. . Accessed April 25, 2022.
    1. Oregon OSHA. Text of temporary rules to address employee exposure to high ambient temperatures. 2021.
    1. Langer CE, Mitchell DC, Armitage TL, Moyce SC, Tancredi DJ, Castro J, et al. Are Cal/OSHA regulations protecting farmworkers in California from heat-related illness? J Occup Environ Med. 2021;63:532–539. doi: 10.1097/JOM.0000000000002189.
    1. ACGIH . Heat stress and strain: TLV® physical agents. American Conference of Governmental Industrial Hygienists: Cincinnati, OH; 2015.
    1. Washington State Department of Labor and Industries. Ambient Heat Exposure Rulemaking. 2021. . Accessed April 25, 2022.
    1. Jacklitsch B, Williams W, Musolin K, Coca A, Kim J-H, Turner N. NIOSH criteria for a recommended standard: occupational exposure to heat and hot environments. OH: Cincinnati; 2016.
    1. Mutic AD, Mix JM, Elon L, Mutic NJ, Economos J, Flocks J, et al. Classification of heat-related illness symptoms among Florida farmworkers. J Nurs Scholarsh. 2018;50:74–82. doi: 10.1111/jnu.12355.
    1. Krenz J, Santos E, Torres E, Palmández P, Carmona J, Blancas M, et al. The multi-level heat education and awareness tools [HEAT] intervention study for farmworkers: rationale and methods. Contemporary Clinical Trials Communications. 2021;22:100795. doi: 10.1016/J.CONCTC.2021.100795.
    1. Washington State Department of Agriculture. Ag and Food Sectors and the Economy. 2022. . Accessed April 25, 2022.
    1. Washington State Department of Commerce. Washington’s diverse climate and geography. 2022. . Accessed April 25, 2022.
    1. María Del Río-González A. To Latinx or not to Latinx: a question of gender inclusivity versus gender neutrality. Am J Public Health. 2021;111:1018–1021. doi: 10.2105/AJPH.2021.306238.
    1. Colorado State University. Why Latinx/e? | El Centro [Internet]. . Accessed July 26, 2022.
    1. Borrell LN, Echeverria SE. The use of Latinx in public health research when referencing Hispanic or Latino populations. Soc Sci Med. 2022;302:114977. doi: 10.1016/j.socscimed.2022.114977.
    1. Citizenship US, Immigration Service . H-2A temporary agricultural workers. 2021.
    1. CDC. The social-ecological model: A framework for prevention. 2009. . Accessed April 25, 2022.
    1. Keifer M. Think of it again, apply it anew: the socio-ecological model and farm safety. Journal of Agromedicine. 2017;22:293–294. doi: 10.1080/1059924X.2017.1358970.
    1. Pacific Northwest Agricultural Safety and Health Center Heat Team. Heat-related illness education toolkit. 2021. .
    1. Washington State University . The Washington Agricultural Weather Network Version 2.0. WSU Prosser – AgWeatherNet; 2013.
    1. Venkatesh V, Morris MG, Davis GB, Davis FD. User acceptance of information technology: toward a unified view. MIS Quarterly: Manag Info Syst. 2003;27:425–478. doi: 10.2307/30036540.
    1. Spector JT, Krenz J, Blank KN. Risk factors for heat-related illness in Washington crop workers. J Agromed. 2015;20(3):349–359. doi: 10.1080/1059924X.2015.1047107.
    1. Huggins R, Glaviano N, Negishi N, Casa DJ, Hertel J. Comparison of rectal and aural core body temperature thermometry in hyperthermic, exercising individuals: a meta-analysis. J Athl Train. 2012;47:329–338. doi: 10.4085/1062-6050-47.3.09.
    1. Buller MJ, Tharion WJ, Cheuvront SN, Montain SJ, Kenefick RW, Castellani J, et al. Estimation of human core temperature from sequential heart rate observations. Physiol Meas. 2013;34:781–798. doi: 10.1088/0967-3334/34/7/781.
    1. Egbert J, Krenz J, Sampson PD, Jung J, Calkins M, Zhang K, et al. Accuracy of an estimated core temperature algorithm for agricultural workers. Arch Environ Occup Health. 2022. 10.1080/19338244.2022.2033672.
    1. Moran D, Shitzer A, Pandolf K. A physiological strain index to evaluate heat stress. Am J Phys. 1998;275:R129–R134.
    1. Centers for Disease Control and Prevention. How is BMI calculated and interpreted? About BMI for Adults. 2014. . Accessed April 25, 2022.
    1. Foster J, Hodder SG, Lloyd AB, Havenith G. Individual responses to heat stress: implications for hyperthermia and physical work capacity. Front Physiol. 2020;11:541483. doi: 10.3389/fphys.2020.541483.
    1. Rothfusz L. The heat index “equation” (or, more than you ever wanted to know about heat index). Technical Attachment No. SR 90–23: 1990.48.
    1. Steadman RG. The assessment of sultriness. Part I: a temperature-humidity index based on human physiology and clothing. J Appl Meteorol. 1979:861–73.
    1. Mac V, Elon L, Mix J, Tovar-Aguilar A, Flocks J, Economos E, et al. Risk factors for reaching Core body temperature thresholds in Florida agricultural workers. J Occup Environ Med. 2021;63:395–402. doi: 10.1097/JOM.0000000000002150.
    1. Vega-Arroyo AJ, Mitchell DC, Castro JR, Armitage TL, Tancredi DJ, Bennett DH, et al. Impacts of weather, work rate, hydration, and clothing in heat-related illness in California farmworkers. Am J Ind Med. 2019;62:1038–1046. doi: 10.1002/AJIM.22973.
    1. Kuznetsova A, Bruun Brockhoff P, Haubo Bojesen Christensen R, CRAN PJS. Package lmerTest. 2020.
    1. R Development Core Team . R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing; 2011.
    1. Rosenstock IM. Historical origins of the health belief model. Health Educ Monogr. 1974;2:328–335. doi: 10.1177/109019817400200403.
    1. Occupational Safety and Health Administration & National Institute for Occupational Safety and Health. OSHA-NIOSH Heat Safety Tool App. 2021. OSHA-NIOSH Heat Safety Tool App | NIOSH | CDC. Accessed April 25, 2022.
    1. Dillane D, Balanay JAG. Comparison between OSHA-NIOSH heat Safety tool app and WBGT monitor to assess heat stress risk in agriculture. J Occup Environ Hyg. 2020;17:181–192. doi: 10.1080/15459624.2020.1721512.
    1. Mirabelli MC, Quandt SA, Crain R, Grzywacz JG, Robinson EN, Vallejos QM, et al. Symptoms of heat illness among Latino farm workers in North Carolina. Am J Prev Med. 2010;39:468–471. doi: 10.1016/j.amepre.2010.07.008.
    1. Arcury TA, Summers P, Talton JW, Nguyen HT, Chen H, Quandt SA. Job characteristics and work safety climate among North Carolina farmworkers with H-2A visas. Journal of Agromedicine. 2015;20:64. doi: 10.1080/1059924X.2014.976732.
    1. Moyce S, Armitage T, Mitchell D, Schenker M. Acute kidney injury and workload in a sample of California agricultural workers. Am J Ind Med. 2020;63:258–268. doi: 10.1002/AJIM.23076.
    1. Ioannou LG, Tsoutsoubi L, Mantzios K, Vliora M, Nintou E, Piil JF, et al. Indicators to assess physiological heat strain–Part 3: Multi-country field evaluation and consensus recommendations. Temperature. 2022; Published online. 10.1080/23328940.2022.2044739.
    1. Ioannou LG, Tsoutsoubi L, Mantzios K, Gkikas G, Piil JF, Dinas PC, et al. The impacts of sun exposure on worker physiology and cognition: multi-country evidence and interventions. Int J Environ Res Public Health. 2021;18:7698. doi: 10.3390/ijerph18147698.
    1. Ainsworth BE, Haskell WL, Leon AS, Jacobs DR, Montoye HJ, Sallis JF, et al. Compendium of physical activities: classification of energy costs of human physical activities. Med Sci Sports Exerc. 1993;25:71–74. doi: 10.1249/00005768-199301000-00011.
    1. Tigchelaar M, Battisti D, Spector J. Work adaptations insufficient to address growing heat risk for U.S. agricultural workers. Environ Res Lett. 2020;15:094035. doi: 10.1088/1748-9326/ab86f4.

Source: PubMed

3
Sottoscrivi