Evidence map›Paper›PMID 31726356›Full record

ArticleEnvironment international2020

What individual and neighbourhood-level factors increase the risk of heat-related mortality? A case-crossover study of over 185,000 deaths in London using high-resolution climate datasets.

Peninah Murage, Sari Kovats, Christophe Sarran, Jonathon Taylor, Rachel McInnes, Shakoor Hajat

Abstract read
In one paragraph

Article in Environment international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

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

  1. Pooled it
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  5. Daily Land Surface Temperature Reconstruction in Landsat Cross-Track Areas Using Deep Ensemble Learning With Uncertainty Quantification.IEEE transactions on geoscience and remote sensing : a publication of the IEEE Geoscience and Remote Sensing Society · 2025
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  8. The potential of urban trees to reduce heat-related mortality in London.Environmental research letters : ERL [Web site] · 2024
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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

6 authors.

Peninah MurageHPRU in Environmental Change and Health, London School of Hygiene and Tropical Medicine, London, UK. Electronic address: Peninah.Murage@lshtm.ac.uk.
Sari KovatsHPRU in Environmental Change and Health, London School of Hygiene and Tropical Medicine, London, UK.
Christophe SarranMet Office, Exeter, UK.
Jonathon TaylorInstitute of Environmental Design and Engineering, University College London (UCL), London, UK.
Rachel McInnesMet Office, Exeter, UK.
Shakoor HajatHPRU in Environmental Change and Health, London School of Hygiene and Tropical Medicine, London, UK.

Funding

Medical Research Council MR/K019341/1Wellcome Trust 205207/Z/16/ZWellcome Trust 209387/Z/17/Z
6 · The paper itself

Abstract

objectiveManagement of the natural and built environments can help reduce the health impacts of climate change. This is particularly relevant in large cities where urban heat island makes cities warmer than the surrounding areas. We investigate how urban vegetation, housing characteristics and socio-economic factors modify the association between heat exposure and mortality in a large urban area.

methodsWe linked 185,397 death records from the Greater London area during May-Sept 2007-2016 to a high resolution daily temperature dataset. We then applied conditional logistic regression within a case-crossover design to estimate the odds of death from heat exposure by individual (age, sex) and local area factors: land-use type, natural environment (vegetation index, tree cover, domestic garden), built environment (indoor temperature, housing type, lone occupancy) and socio-economic factors (deprivation, English language, level of employment and prevalence of ill-health).

resultsTemperatures were higher in neighbourhoods with lower levels of urban vegetation and with higher levels of income deprivation, social-rented housing, and non-native English speakers. Heat-related mortality increased with temperature increase (Odds Ratio (OR), 95% CI = 1.039, 1.036-1.043 per 1 °C temperature increase). Vegetation cover showed the greatest modification effect, for example the odds of heat-related mortality in quartiles with the highest and lowest tree cover were OR, 95%CI 1.033, 1.026-1.039 and 1.043, 1.037-1.050 respectively. None of the socio-economic variables were a significant modifier of heat-related mortality.

conclusionsWe demonstrate that urban vegetation can modify the mortality risk associated with heat exposure. These findings make an important contribution towards informing city-level climate change adaptation and mitigation policies.

Indexed as

Climate ChangeCitiesCross-Over StudiesHot TemperatureLondonMortality

Identifiers

PMID31726356
PMCPMC7103759

What OpenQuestion holds

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LicenceCC BY
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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.