Evidence map›Paper›PMID 22649525›Full record

ArticlePloS one2012

Impact of environmental parameters on marathon running performance.

Nour El Helou, Muriel Tafflet, Geoffroy Berthelot, Julien Tolaini, Andy Marc, Marion Guillaume, Christophe Hausswirth, Jean-François Toussaint

Abstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing 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

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

  1. Pooled it
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  7. A Systematic Review of the Factors Associated with Performance in Non-Elite Runners.Journal of functional morphology and kinesiology · 2026
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  19. Fur removal promotes an earlier expression of involution-related genes in mammary gland of lactating mice.Journal of comparative physiology. B, Biochemical, systemic, and environmental physiology · 2023
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  20. Article

18 more citing papers are in PubMed but not listed here.

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

8 authors.

Nour El HelouIRMES (bioMedical Research Institute of Sports Epidemiology), INSEP, Paris, France. nour.elhelou@insep.fr
Muriel Tafflet
Geoffroy Berthelot
Julien Tolaini
Andy Marc
Marion Guillaume
Christophe Hausswirth
Jean-François Toussaint

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe objectives of this study were to describe the distribution of all runners' performances in the largest marathons worldwide and to determine which environmental parameters have the maximal impact.

methodsWe analysed the results of six European (Paris, London, Berlin) and American (Boston, Chicago, New York) marathon races from 2001 to 2010 through 1,791,972 participants' performances (all finishers per year and race). Four environmental factors were gathered for each of the 60 races: temperature (°C), humidity (%), dew point (°C), and the atmospheric pressure at sea level (hPA); as well as the concentrations of four atmospheric pollutants: NO(2)-SO(2)-O(3) and PM(10) (μg x m(-3)).

resultsAll performances per year and race are normally distributed with distribution parameters (mean and standard deviation) that differ according to environmental factors. Air temperature and performance are significantly correlated through a quadratic model. The optimal temperatures for maximal mean speed of all runners vary depending on the performance level. When temperature increases above these optima, running speed decreases and withdrawal rates increase. Ozone also impacts performance but its effect might be linked to temperature. The other environmental parameters do not have any significant impact.

conclusionsThe large amount of data analyzed and the model developed in this study highlight the major influence of air temperature above all other climatic parameter on human running capacity and adaptation to race conditions.

Indexed as

EnvironmentModels, TheoreticalAir PollutantsAtmospheric PressureHumansHumidityNitratesOzoneParticulate MatterRunningSportsStatistics, NonparametricSulfatesTemperatureAir PollutantsNitratesOzoneParticulate MatterSulfates

Identifiers

PMID22649525
PMCPMC3359364

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.