Evidence map›Paper›PMID 34907184›Full record

ArticleNature communications2021

Increased labor losses and decreased adaptation potential in a warmer world.

Luke A Parsons, Drew Shindell, Michelle Tigchelaar, Yuqiang Zhang, June T Spector

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
7.7field-weighted citation impact, top 2% of its field
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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 114 citations in OpenAlex.

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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

5 authors at 4 institutions in 1 country.

Luke A ParsonsNicholas School of the Environment, Duke University, Durham, NC, USA. luke.parsons@duke.edu.
Drew ShindellNicholas School of the Environment, Duke University, Durham, NC, USA.ORCID http://orcid.org/0000-0003-1552-4715
Michelle TigchelaarCenter for Ocean Solutions, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-7964-229X
Yuqiang ZhangNicholas School of the Environment, Duke University, Durham, NC, USA.ORCID http://orcid.org/0000-0002-9161-7086
June T SpectorDepartment of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-0761-1256
Duke University · USStanford University · USUniversity of North Carolina at Chapel Hill · USUniversity of Washington · US

Funding

NIOSH CDC HHS T42 OH008433Shared Services Center NASA 80NSSC19M0138
6 · The paper itself

Abstract

Working in hot and potentially humid conditions creates health and well-being risks that will increase as the planet warms. It has been proposed that workers could adapt to increasing temperatures by moving labor from midday to cooler hours. Here, we use reanalysis data to show that in the current climate approximately 30% of global heavy labor losses in the workday could be recovered by moving labor from the hottest hours of the day. However, we show that this particular workshift adaptation potential is lost at a rate of about 2% per degree of global warming as early morning heat exposure rises to unsafe levels for continuous work, with worker productivity losses accelerating under higher warming levels. These findings emphasize the importance of finding alternative adaptation mechanisms to keep workers safe, as well as the importance of limiting global warming.

Indexed as

Global WarmingAdaptation, PhysiologicalClimate ChangeEfficiencyForecastingHot TemperatureHumansHumidityOccupational ExposureShift Work ScheduleWorkforce

Identifiers

PMID34907184
PMCPMC8671389
OpenAlexW4200547898

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.