Evidence map›Paper›PMID 42177169›Full record

ArticleScientific reports2026

The association between nationality, gender, age and running performance in endurance runners: an empirical analysis of worldwide multi-distance race data from 1999 to 2024.

Guojun Liao, Junmian Wang

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Guojun LiaoSchool of Physical Education, Yan'an University, Yan'an, 716000, Shaanxi Province, China. 17628687080@163.com.
Junmian WangSchool of Physical Education, Yan'an University, Yan'an, 716000, Shaanxi Province, China. 2998843592@qq.comqq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, the increasing popularity of half-marathon and marathon events has promoted the significant growth of global endurance running participants. In endurance running, the gender, age and nationality of athletes are closely related to their running performance. To this end, this study, based on the official data from World Athletics (formerly IAAF) and the Association of Road Racing Statisticians (ARRS), selects three demographic variables: nationality, gender, and age, aiming to explore the performance characteristics and their correlations of global runners in four different distance endurance running events: 5 km, 10 km, half marathon, and marathon from 1999 to 2024. The study included a total of 152,943 runners from 203 countries and regions (covering 180 countries, 21 regions and 2 special representative teams) (Male: n = 91,182; Female: n = 61,761). In terms of data analysis, this study used a mixed-effects model to analyze the trend of running performance and age over years, and used a three-way analysis of variance (nationality × gender × year) to test the interaction between variables. In addition, 8 multiple linear regression models were determined through the Akaike Information Criterion (AIC), and independent samples t-tests and Pearson correlation coefficients were used to analyze gender differences and the association between various demographic variables and performance. This study draws the following four main conclusions: (1) In all four different distance endurance running events, there were more male runners than females; (2)In the 5km, most runners were from the United States and Japan, while in the 10km, half marathon and marathon events, runners from Japan and Kenya accounted for the main share; (3) In all endurance running events except the 5km event, females were significantly older than males; (4) Males were faster than females in all distance endurance running events.

Indexed as

Athletic PerformanceMarathon RunningPhysical EnduranceRunningAdultAge FactorsAthletesFemaleHumansMaleMiddle AgedSex FactorsEastern AfricaJapanKenyaMarathonMiddle-distance running

Identifiers

PMID42177169
PMCPMC13389287

What Socratic 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 Socratic graph.