Evidence map›Paper›PMID 35434457›Full record

ArticleEnvironmental epidemiology (Philadelphia, Pa.)2022

Heat-related mortality prediction using low-frequency climate oscillation indices: Case studies of the cities of Montréal and Québec, Canada.

Pierre Masselot, Taha B M J Ouarda, Christian Charron, Céline Campagna, Éric Lavigne, André St-Hilaire, Fateh Chebana, Pierre Valois, Pierre Gosselin

Abstract read
In one paragraph

Article in Environmental epidemiology (Philadelphia, Pa.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Heat Adaptation among the Elderly in Spain (1983-2018).International journal of environmental research and public health · 2023
    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

9 authors.

Pierre MasselotDepartment of Public Health, Environments and Society, London School of Hygiene and Tropical Medicine (LSHTM), London, United Kingdom.
Taha B M J OuardaInstitut National de la Recherche Scientifique, INRS, Centre Eau Terre Environnement, Québec, Canada.
Christian CharronInstitut National de la Recherche Scientifique, INRS, Centre Eau Terre Environnement, Québec, Canada.
Céline CampagnaInstitut National de la Recherche Scientifique, INRS, Centre Eau Terre Environnement, Québec, Canada.
Éric LavigneAir Health Science Division, Health Canada, Ottawa, Canada.
André St-HilaireInstitut National de la Recherche Scientifique, INRS, Centre Eau Terre Environnement, Québec, Canada.
Fateh ChebanaInstitut National de la Recherche Scientifique, INRS, Centre Eau Terre Environnement, Québec, Canada.
Pierre ValoisObservatoire Québécois de l'Adaptation aux Changements Climatiques, Faculté des Sciences de L'éducation, Université Laval, Québec, Canada.
Pierre GosselinInstitut National de la Recherche Scientifique, INRS, Centre Eau Terre Environnement, Québec, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heat-related mortality is an increasingly important public health burden that is expected to worsen with climate change. In addition to long-term trends, there are also interannual variations in heat-related mortality that are of interest for efficient planning of health services. Large-scale climate patterns have an important influence on summer weather and therefore constitute important tools to understand and predict the variations in heat-related mortality. Methods: In this article, we propose to model summer heat-related mortality using seven climate indices through a two-stage analysis using data covering the period 1981-2018 in two metropolitan areas of the province of Québec (Canada): Montréal and Québec. In the first stage, heat attributable fractions are estimated through a time series regression design and distributed lag nonlinear specification. We consider different definitions of heat. In the second stage, estimated attributable fractions are predicted using climate index curves through a functional linear regression model. Results: Results indicate that the Atlantic Multidecadal Oscillation is the best predictor of heat-related mortality in both Montréal and Québec and that it can predict up to 20% of the interannual variability. Conclusion: We found evidence that one climate index is predictive of summer heat-related mortality. More research is needed with longer time series and in different spatial contexts. The proposed analysis and the results may nonetheless help public health authorities plan for future mortality related to summer heat.

Indexed as

Atlantic multi-decadal oscillationClimate indicesDistributed lag nonlinear modelsFunctional linear regressionHeatMortality

Identifiers

PMID35434457
PMCPMC9005246

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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.