Evidence map›Paper›PMID 38874305›Full record

ArticleJournal of agromedicine2024

Farmworker-Relevant Heat Exposure in Different Crop and Shade Conditions.

John C Flunker, June T Spector, Maria Blancas, Nicole L Briggs, Miriam Flores, Carolyn Reeb- Whitaker, Todd Schoonover, Tamre Cardoso

Abstract read
In one paragraph

Article in Journal of agromedicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

John C FlunkerDepartment of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA.
June T SpectorDepartment of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA.ORCID 0000-0002-0761-1256
Maria BlancasDepartment of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA.
Nicole L BriggsDepartment of Epidemiology, University of Washington, Seattle, WA, USA.
Miriam FloresDepartment of Epidemiology, University of Washington, Seattle, WA, USA.
Carolyn Reeb- WhitakerDepartment of Labor and Industries, Safety & Health Assessment and Research for Prevention (SHARP) Program, Tumwater, WA, USA.
Todd SchoonoverDepartment of Labor and Industries, Safety & Health Assessment and Research for Prevention (SHARP) Program, Tumwater, WA, USA.
Tamre CardosoDepartment of Statistics, University of Washington, Seattle, WA, USA.

Funding

Pacific Northwest Agricultural Safety and Health Center-RenewalU54OH007544 · OH · UNIVERSITY OF WASHINGTON · PI YOST, MICHAEL G · 2011 to 2025
$23.0M
Biostatistics, Epidemiologic & Bioinformatic Training in Environmental HealthT32ES015459 · NIEHS · UNIVERSITY OF WASHINGTON · PI June T. Spector · 2009 to 2026
$10.6M
NIEHS NIH HHS T32 ES015459NIOSH CDC HHS U54 OH007544
6 · The paper itself

Abstract

objectivesAgricultural workers are at risk of heat-related illness, which is preventable. Few field studies have compared farmworker-relevant heat exposure in different conditions. We examined heat exposure over time in different potential shade and work locations to inform future occupational heat prevention approaches.

methodsWe assessed heat exposure in Eastern Washington State (WA) cherry and grape fields in August 2022. QUESTemp° monitors recorded Wet Bulb Globe Temperature (WBGT) and Black Globe Temperature (BGT) every 10 min from approximately 07:00-14:00 for three days in the center of crop rows (mid-row), under portable shade structures (shade), and in open field (open) locations. Linear mixed effects regression (LMER) models compared WBGT and BGT among field locations. Hourly time-weighted average WBGT and comparisons with occupational exposure limits (OELs) were computed for different hypothetical work-rest cycles during the hottest sampling hours, assuming different worker effort levels, rest locations (mid-row versus shade), and acclimatization statuses.

resultsAcross all crops and locations during the study period, the mean/SD air temperature was 31°C (88°F)/3.9°C (6.9°F), with a maximum temperature of 39°C (102°F) and a mean/SD relative humidity of 30%/9.6%. LMER models suggested no significant difference in mid-row versus open WBGT but significantly lower WBGT in shade versus open locations for both cherries (main effect -5.14: 95% confidence interval [CI] -6.97,-3.32) and grapes (-6.20: 95%CI -7.73,-4.67), though this difference diminished over the course of the day. BGT was significantly higher in the mid-row than the shade (cherries main effect 14.33: 95%CI 9.52,19.13 and grapes 17.10: 95%CI 13.44,20.75). During the hottest sampling hour, the exceedances of OELs were reduced with assumptions of increased shaded break lengths, reduced effort level, and acclimatization.

conclusionsShade canopies, but not the crops studied, provided significant reductions in heat exposure. We observed increased protection from heat assuming longer shaded breaks and reduced effort levels. Results highlight the need for additional field research on the effectiveness, feasibility, and acceptability of different shade types and work-rest cycles to guide employer optimization of best practices for worker protections, including acclimatization before high heat, sufficient shaded rest time, reduced effort levels as the day warms, and avoiding work in peak heat.

Indexed as

FarmersHot TemperatureOccupational ExposureAgricultureCrops, AgriculturalHeat Stress DisordersHumansWashingtonfarmworkerfield studyHeat stressshade

Identifiers

PMID38874305
PMCPMC11410529

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.