Evidence map›Paper›PMID 39900823›Full record

ArticleAnnals of biomedical engineering2025

Active Arm Swing During Running Improves Rotational Stability of the Upper Body and Metabolic Energy Efficiency.

Young-Jun Koo, Naomichi Ogihara, Seungbum Koo

Abstract read
In one paragraph

Article in Annals of biomedical engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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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

3 authors.

Young-Jun KooArtificial Intelligence Computing Research Laboratory, Electronics and Telecommunications Research Institute, Daejeon, Republic of Korea.
Naomichi OgiharaThe University of Tokyo, Bunkyo City, Tokyo, Japan.
Seungbum KooDepartment of Mechanical Engineering, Korea Advanced Institute of Science and Technology, 291 Daehak-ro, Yuseong-gu, Daejeon, 34141, Republic of Korea. skoo@kaist.ac.kr.ORCID http://orcid.org/0000-0002-4843-1083

Funding

Institute of Information & Communications Technology Planning & Evaluation (IITP) MSIT No.2022-0-00025Korean National Research Foundation RS-2023-00277425
6 · The paper itself

Abstract

purposeThe kinematic benefits of arm swing during running for upper body stability have been previously investigated, while its role in metabolic energy efficiency remains controversial. To address this, this study aimed to test the hypothesis that active arm swing during running reduces both torso angular motion around the longitudinal axis and metabolic energy consumption.

methodsWe employed forward dynamics musculoskeletal running simulations with different arm conditions to investigate the hypothesis. Full-body musculoskeletal running models, incorporating 150 muscles, were developed using artificial neural network-based running controllers. Three arm conditions were simulated using the running models and controllers: active arm swing, passive arm swing, and fixed arms.

resultsOur results revealed that the active arm swing model demonstrated the lowest total metabolic energy consumption per traveling distance. The costs of transport were 5.52, 5.73, and 5.82 J/kg-m for active, passive, and fixed arm models, respectively. Interestingly, while metabolic energy consumption in the upper limb muscles was higher during active arm swing, the total energy consumption was lower. Additionally, the longitudinal rotation of the torso was minimal in the active arm swing condition.

conclusionThese findings support our hypothesis, demonstrating that active arm swing during running reduces the angular motion of the torso and the metabolic energy consumption. This study provides evidence that arm swing during running is performed actively as an energy-saving mechanism. These results contribute to understanding of running biomechanics and may have implications for performance optimization in sports and rehabilitation settings.

Indexed as

ArmEnergy MetabolismModels, BiologicalMuscle, SkeletalRunningBiomechanical PhenomenaHumansMaleArm swingForward dynamicsMetabolic energyMusculoskeletal model

Identifiers

PMID39900823
PMCPMC11929735

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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 OpenQuestion graph.