Evidence map›Paper›PMID 32992036›Full record

ArticleJournal of sport and health science2022

Changes in segment coordination variability and the impacts of the lower limb across running mileages in half marathons: Implications for running injuries.

Tony Lin-Wei Chen, Duo Wai-Chi Wong, Yan Wang, Qitao Tan, Wing-Kai Lam, Ming Zhang

Open access · diamondAbstract read
In one paragraph

Article in Journal of sport and health science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.9field-weighted citation impact, top 15% of its field
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

14 citing papers in PubMed, 35 citations in OpenAlex.

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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 at 3 institutions in 2 countries.

Tony Lin-Wei ChenDepartment of Biomedical Engineering, Faculty of Engineering, Hong Kong Polytechnic University, Hong Kong SAR 999077, China; Li Ning Sports Science Research Center, Li Ning (China) Sports Goods Co. Ltd, Beijing 101111, China.
Duo Wai-Chi WongDepartment of Biomedical Engineering, Faculty of Engineering, Hong Kong Polytechnic University, Hong Kong SAR 999077, China; Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen 518057, China.
Yan WangDepartment of Biomedical Engineering, Faculty of Engineering, Hong Kong Polytechnic University, Hong Kong SAR 999077, China; Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen 518057, China.
Qitao TanDepartment of Biomedical Engineering, Faculty of Engineering, Hong Kong Polytechnic University, Hong Kong SAR 999077, China.
Wing-Kai LamLi Ning Sports Science Research Center, Li Ning (China) Sports Goods Co. Ltd, Beijing 101111, China; Department of Kinesiology, Shenyang Sports Institute, Shenyang 110102, China. Electronic address: gilbertlam@li-ning.com.cn.
Ming ZhangDepartment of Biomedical Engineering, Faculty of Engineering, Hong Kong Polytechnic University, Hong Kong SAR 999077, China; Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen 518057, China. Electronic address: ming.zhang@polyu.edu.hk.
Hong Kong Polytechnic University · HKShenzhen Polytechnic · CNShanghai Research Institute of Sports Science · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSegment coordination variability (CV) is a movement pattern associated with running-related injuries. It can also be adversely affected by a prolonged run. However, research on this topic is currently limited. The purpose of this study was to investigate the effects of a prolonged run on segment CV and vertical loading rates during a treadmill half marathon.

methodsFifteen healthy runners ran a half marathon on an instrumental treadmill in a biomechanical laboratory. Synchronized kinematic and kinetic data were collected every 2 km (from 2 km until 20 km), and the data were processed by musculoskeletal modeling. Segment CVs were computed from the angle-angle plots of selected pelvis-thigh, thigh-shank, and shank-rearfoot couplings using a modified vector coding technique. The loading rate of vertical ground reaction force was also calculated. A one-way MANOVA with repeated measures was performed on each of the outcome variables to examine the main effect of running mileage.

resultsSignificant effects of running mileage were found on segment CVs (p ≤ 0.010) but not on loading rate (p = 0.881). Notably, during the early stance phase, the CV of pelvis frontal vs. thigh frontal was significantly increased at 20 km compared with the CV at 8 km (g = 0.59, p = 0.022). The CV of shank transverse vs. rearfoot frontal decreased from 2 km to 8 km (g = 0.30, p = 0.020) but then significantly increased at both 18 km (g = 0.05, p < 0.001) and 20 km (g = 0.36, p < 0.001).

conclusionAt the early stance, runners maintained stable CVs on the sagittal plane, which could explain the unchanged loading rate throughout the half marathon. However, increased CVs on the frontal/transverse plane may be an early sign of fatigue and indicative of possible injury risk. Further studies are necessary for conclusive statements in this regard.

Indexed as

Marathon RunningRunningBiomechanical PhenomenaFootLower ExtremityCoupling angleEndurance runningMotion capture analysisMusculoskeletal modelingVector coding technique

Identifiers

PMID32992036
PMCPMC8848018
OpenAlexW3087833940

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.