Evidence map›Paper›PMID 30985616›Full record

ArticleJournal of occupational and environmental medicine2019

Estimating Occupational Heat Exposure From Personal Sampling of Public Works Employees in Birmingham, Alabama.

Suwei Wang, Molly B Richardson, Connor Y H Wu, Carly D Cholewa, Claudiu T Lungu, Benjamin F Zaitchik, Julia M Gohlke

Abstract read
In one paragraph

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 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Using wearable devices to measure personal heat exposure in a preconception cohort.Journal of exposure science & environmental epidemiology · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Understanding occupational heat exposure in the United States and proposing a quantifying stress index.International archives of occupational and environmental health · 2021
    Article
  10. Article
  11. 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 · 2021
    Review
  12. Characterization of heat index experienced by individuals residing in urban and rural settings.Journal of exposure science & environmental epidemiology · 2021
    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

7 authors.

Suwei WangDepartment of Population Health Sciences, Virginia Tech, Blacksburg, Virginia (Ms Wang, Dr Richardson, Dr Gohlke); Graduate Program in Translational Biology, Medicine and Health, Virginia Tech, Blacksburg, VA (Ms Wang); Department of Geospatial Informatics, Troy University, Troy (Dr Wu); School of Public Health, The University of Alabama at Birmingham, Birmingham (Ms Cholewa, Dr Lungu), Alabama; Department of Earth & Planetary Sciences, Johns Hopkins University, Baltimore, Maryland (Dr Zaitchik).
Molly B Richardson
Connor Y H Wu
Carly D Cholewa
Claudiu T Lungu
Benjamin F Zaitchik
Julia M Gohlke

Funding

Environmental exposures across urban and rural communities in the Deep SouthR01ES023029 · NIEHS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI GOHLKE, JULIA M · 2015 to 2019
$1.7M
NIEHS NIH HHS R01 ES023029
6 · The paper itself

Abstract

objectiveThis study investigated whether using thermometers clipped on workers' shoes would result in different heat exposure estimation and work-rest schedules compared with using area-level meteorological data alone.

methodsAlabama workers (n = 51) were individually monitored using thermometers on shoes. Wet bulb globe temperature (WBGT) was estimated using thermometer temperatures (WBGT [personal]) or nearby weather station temperatures (WBGT [WS]). Work-rest schedules were determined from WBGT, clothing, and hourly metabolic rates estimated from self-reported tasks and bodyweight.

resultsThe percent of hours exceeding the threshold limit value (TLV, ACGIH, Cincinnati, OH) were estimated at 47.8% using WBGT (personal) versus 42.1% using WBGT (WS). For work-rest recommendations, more hours fell into the most protective schedule (0 to 15 min work/45 to 60 min rest) using WBGT (personal) versus WBGT (WS) (17.4% vs 14.4%).

conclusionsTemperatures from wearable thermometers, together with meteorological data, can serve as an additional method to identify occupational heat stress exposure and recommend work-rest schedules.

Indexed as

Heat Stress DisordersAdultAlabamaAlgorithmsEnvironmental MonitoringFemaleHumansMaleMiddle AgedOccupational ExposurePersonnel Staffing and SchedulingWeatherYoung Adult

Identifiers

PMID30985616
PMCPMC6687320

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.