Evidence map›Paper›PMID 25352015›Full record

ArticleEnvironmental health : a global access science source2014

Acclimatization across space and time in the effects of temperature on mortality: a time-series analysis.

Mihye Lee, Francesco Nordio, Antonella Zanobetti, Patrick Kinney, Robert Vautard, Joel Schwartz

Abstract read
In one paragraph

Article in Environmental health : a global access science source, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 2 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

51 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Extreme Heat and Emergency Health Impacts in the US (2018-2025).International journal of environmental research and public health · 2026
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  19. Data-Enhancement Strategies in Weather-Related Health Studies.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

6 authors.

Mihye LeeDepartment of Environmental Health, Exposure, Epidemiology, and Risk Program, Harvard School of Public Health, 401 Park Drive, Landmark Center West 4th fl, Boston, MA 02215, USA. mhlee@hsph.harvard.edu.
Francesco Nordio
Antonella Zanobetti
Patrick Kinney
Robert Vautard
Joel Schwartz

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI JAIME ELIZABETH HART · 1985 to 2026
$44.6M
Individual& community factors conveying vulnerability to weather extremesR21ES020695 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI SCHWARTZ, JOEL D · 2011 to 2012
$445k
Chronic effects of weather fluctuations: population susceptibility and adaptationR21ES024012 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI ZANOBETTI, ANTONELLA · 2014 to 2015
$445k
NIEHS NIH HHS ES000002NIEHS NIH HHS ES020695NIEHS NIH HHS ES024012-01A1NIEHS NIH HHS P30 ES000002NIEHS NIH HHS R21 ES020695NIEHS NIH HHS R21 ES024012
6 · The paper itself

Abstract

backgroundClimate change has increased the days of unseasonal temperature. Although many studies have examined the association between temperature and mortality, few have examined the timing of exposure where whether this association varies depending on the exposure month even at the same temperature. Therefore, we investigated monthly differences in the effects of temperature on mortality in a study comprising a wide range of weather and years, and we also investigated heterogeneity among regions.

methodsWe analyzed 38,005,616 deaths from 148 cities in the U.S. from 1973 through 2006. We fit city specific Poisson regressions to examine the effect of temperature on mortality separately for each month of the year, using penalized splines. We used cluster analysis to group cities with similar weather patterns, and combined results across cities within clusters using meta-smoothing.

resultsThere was substantial variation in the effects of the same temperature by month. Heat effects were larger in the spring and early summer and cold effects were larger in late fall. In addition, heat effects were larger in clusters where high temperatures were less common, and vice versa for cold effects.

conclusionsThe effects of a given temperature on mortality vary spatially and temporally based on how unusual it is for that time and location. This suggests changes in variability of temperature may be more important for health as climate changes than changes of mean temperature. More emphasis should be placed on warnings targeted to early heat/cold temperature for the season or month rather than focusing only on the extremes.

Indexed as

Climate ChangeAcclimatizationCluster AnalysisHumansHumidityMortalitySeasonsTemperatureUnited States

Identifiers

PMID25352015
PMCPMC4271464

What OpenQuestion holds

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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.