Evidence map›Paper›PMID 42831284›Full record

ArticleEuropean journal of sport science2026

Biomechanical Responses to Level, Uphill, and Downhill Running Segments During an Outdoor Marathon.

Ransi S S Subasinghe Arachchige, Ke Hu, Yannis Pitsiladis, Carl James, Roy T H Cheung

Abstract read
In one paragraph

Article in European journal of sport science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

5 authors.

Ransi S S Subasinghe ArachchigeHuman Movement Laboratory, School of Health Sciences, Western Sydney University, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0003-3372-7209
Ke HuDepartment of Sports and Health Sciences, Faculty of Arts and Social Sciences, Academy of Wellness and Human Development, Hong Kong Baptist University, Hong Kong, China.ORCID https://orcid.org/0009-0006-0534-5894
Yannis PitsiladisCentre for Exercise Science and Medicine (CESAME), Hong Kong Baptist University, Hong Kong, China.ORCID https://orcid.org/0000-0001-6210-2449
Carl JamesDepartment of Sports and Health Sciences, Faculty of Arts and Social Sciences, Academy of Wellness and Human Development, Hong Kong Baptist University, Hong Kong, China.ORCID https://orcid.org/0000-0003-2099-5343
Roy T H CheungHuman Movement Laboratory, School of Health Sciences, Western Sydney University, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0002-0288-7755

Funding

Hong Kong Baptist University
6 · The paper itself

Abstract

This study investigated running biomechanics across varying slopes during a mass-participation road marathon. Although laboratory studies suggest specific gait modifications occur in response to varying slopes, data from outdoor competitive environments remain scarce. We monitored 39 distance runners using shoe-mounted inertial measurement units to capture spatiotemporal, footstrike, and wearable-derived loading data across level, uphill (+3%), and downhill (-3%) segments of the 2025 Hong Kong Marathon. Results demonstrated slope-dependent modifications, with uphill running characterized by slower velocity (-0.29 m/s, Cohen's d = -1.98), shorter stride length (-0.15 m, d = -1.55), and lower cadence (-5.00 steps/min, d = -1.21) compared with level ground (p < 0.001). Kinematically, participants adopted a more anterior footstrike pattern uphill (d = 1.48) and a more posterior footstrike pattern downhill (d = -0.62) relative to level running (p < 0.05). Analysis of wearable-derived loading metrics showed no differences across slope conditions once running velocity was included as a covariate. Running velocity emerged as the primary determinant of braking, impact, and shock accelerations, indicating that differences in self-selected running velocity may contribute substantially to loading responses across varying slopes during overground running. These findings highlight a discrepancy between controlled laboratory simulations and competitive overground running, emphasizing the role of wearable technology in capturing ecologically valid gait alterations to different terrains.

Indexed as

GaitMarathon RunningRunningAdultBiomechanical PhenomenaFemaleHong KongHumansMaleloading metricsrunning biomechanicsslopevelocitywearable sensors

Identifiers

PMID42831284
PMCPMC13635875

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.