Evidence map›Paper›PMID 26566270›Full record

ArticleEnvironmental health perspectives2016

Evolution of Minimum Mortality Temperature in Stockholm, Sweden, 1901-2009.

Daniel Oudin Åström, Andreas Tornevi, Kristie L Ebi, Joacim Rocklöv, Bertil Forsberg

Abstract read
In one paragraph

Article in Environmental health perspectives, 2016. 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
–field-weighted citation impact
1 · What the graph read from it

What it found

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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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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.

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  9. Heat Adaptation among the Elderly in Spain (1983-2018).International journal of environmental research and public health · 2023
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  13. Mortality Related to Air Temperature in European Cities, Based on Threshold Regression Models.International journal of environmental research and public health · 2022
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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.

Daniel Oudin ÅströmDivision of Occupational and Environmental Medicine, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden.
Andreas Tornevi
Kristie L Ebi
Joacim Rocklöv
Bertil Forsberg

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe mortality impacts of hot and cold temperatures have been thoroughly documented, with most locations reporting a U-shaped relationship with a minimum mortality temperature (MMT) at which mortality is lowest. How MMT may have evolved over previous decades as the global mean surface temperature has increased has not been thoroughly explored.

objectiveWe used observations of daily mean temperatures to investigate whether MMT changed in Stockholm, Sweden, from the beginning of the 20th century until 2009.

methodsDaily mortality and temperature data for the period 1901-2009 in Stockholm, Sweden, were used to model the temperature-mortality relationship. We estimated MMT using distributed lag nonlinear Poisson regression models considering lags up to 21 days of daily mean temperature as the exposure variable. To avoid large influences on the MMT from intra- and interannual climatic variability, we estimated MMT based on 30-year periods. Furthermore, we investigated whether there were trends in the absolute value of the MMT and in the relative value of the MMT (the corresponding percentile of the same-day temperature distribution) over the study period.

resultsOur findings suggest that both the absolute MMT and the relative MMT increased in Stockholm, Sweden, over the course of the 20th century.

conclusionsThe increase in the MMT over the course of the 20th century suggests autonomous adaptation within the context of the large epidemiological, demographical, and societal changes that occurred. Whether the rate of increase will be sustained with climate change is an open question. CITATION: Oudin Åström D, Tornevi A, Ebi KL, Rocklöv J, Forsberg B. 2016. Evolution of minimum mortality temperature in Stockholm, Sweden, 1901-2009. Environ Health Perspect 124:740-744; http://dx.doi.org/10.1289/ehp.1509692.

Indexed as

Climate ChangeTemperatureHumansMortalityPoisson DistributionSeasonsSweden

Identifiers

PMID26566270
PMCPMC4892916

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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.