ArticleJournal of occupational and environmental medicine2019
Examining Agricultural Workplace Micro and Macroclimate Data Using Decision Tree Analysis to Determine Heat Illness Risk.
Article in Journal of occupational and environmental medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed.
- Design and Evaluation of Wearable Solar Radiation Shields for Enhanced Personal Heat Exposure Monitoring.Sensors (Basel, Switzerland) · 2025Article
- Occupational heat exposure and the risk of chronic kidney disease of nontraditional origin in the United States.American journal of physiology. Regulatory, integrative and comparative physiology · 2021Review
- Characterization of heat index experienced by individuals residing in urban and rural settings.Journal of exposure science & environmental epidemiology · 2021Article
- Climate Change Adaptation: Prehospital Data Facilitate the Detection of Acute Heat Illness in India.The western journal of emergency medicine · 2021Article
- Knowledge and Practices to Avoid Heat-Related Illness among Hispanic Farmworkers along the Florida-Georgia Line.Journal of agromedicine · 2020Article
- Estimating Occupational Heat Exposure From Personal Sampling of Public Works Employees in Birmingham, Alabama.Journal of occupational and environmental medicine · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
objectiveThis study was designed to examine the associations between regional weather data and agricultural worksite temperatures in Florida.
methodsFlorida farmworkers (n = 105) were each monitored using iButton technology paired with simultaneous data from regional weather stations. Conditional inference tree models were developed for (1) regional environmental temperatures and iButton (worksite) temperatures, and (2) regional heat index (HI) and iButton HI.
resultsWorksite temperatures were partitioned by regional temperature at the primary node of 29.1°C. Worksite HI was partitioned at nodes of 33.0°C, 36.0°C, 37.0°C, and 40.0°C. The nodes at 33.0°C and 40.0°C mirror the National Weather Service's category entry points for "extreme caution" and "danger" regarding the risk of developing heat-related illness.
conclusionRegional weather data have the potential to provide estimations of worksite environmental conditions allowing employers to quickly implement strategies to protect workers.
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Registered trials
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.