Evidence map›Paper›PMID 41857093›Full record

ArticleScientific reports2026

Quantifying the impact of heat stress on labour productivity in outdoor workplaces in Southern India amid a changing climate.

Vidhya Venugopal, P K Latha, Rekha Shanmugam

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Vidhya VenugopalDepartment of Environmental Health Engineering, Faculty of Public Health, Sri Ramachandra Institute of Higher Education and Research (DU), No: 1, Ramachandra Nagar, Porur, Chennai, Tamil Nadu, 600116, India. vvidhya@ehe.org.in.
P K LathaDepartment of Environmental Health Engineering, Faculty of Public Health, Sri Ramachandra Institute of Higher Education and Research (DU), No: 1, Ramachandra Nagar, Porur, Chennai, Tamil Nadu, 600116, India.
Rekha ShanmugamDepartment of Environmental Health Engineering, Faculty of Public Health, Sri Ramachandra Institute of Higher Education and Research (DU), No: 1, Ramachandra Nagar, Porur, Chennai, Tamil Nadu, 600116, India.

Funding

Department of Science & Technology DST/CCP/(NET-2)PR-37/2012
6 · The paper itself

Abstract

Due to climate change, heat waves are projected to become more frequent and severe in regions like the tropics. In developing nations like India, where manual outdoor work is common, workers are susceptible to heat stress. Seasonal effects on productivity however, are understudied. This research measures productivity loss (PL)  due to heat for informal outdoor labourers in southern India. The study employed a mixed-methods approach to assess seasonal Wet Bulb Globe temperature (WBGT) exposures across 11 districts in Tamil Nadu (TN). Data were collected from 1560 outdoor workers through structured surveys. Statistical analysis incorporated both descriptive statistics and multivariate regression models. Results demonstrate that WBGT measurements exceeded the critical threshold of 30 °C. Analysis of worker perception data revealed significant association between elevated WBGT exposure and a 1.4-fold increased risk of PL (95% Confidence Interval (CI) 1.1–1.8). High workload and seasonal variation emerged as strong predictors of productivity decrements (Adjusted Odds Ratio (AOR) 1.5; 95% CI 1.2–2.1). The results demonstrate severe productivity and economic losses associated with high WBGT levels affecting livelihoods and the regional economy. This underscores the pressing need for mitigatory climate measures and specific interventions to safeguard vulnerable informal workers in the tropics.

Indexed as

Climate ChangeEfficiencyHeat Stress DisordersOccupational ExposureWorkplaceHot TemperatureHumansIndiaSeasonsWorking ConditionsClimate changeEconomic lossHeat strainHeat stressProductivity lossWet bulb globe temperature

Identifiers

PMID41857093
PMCPMC13139379

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.