Evidence map›Paper›PMID 41907537›Full record

ArticleFrontiers in physiology2026

Offset loading in hexagonal bar deadlift: a 'stealth' strategy for acutely modulating neuromuscular activation asymmetry and enhancing acute jump performance.

Shuwei Chen, Sen Yang, Xiubing Zhang, Jiahui Ye, Shanxin Feng, Wenbai Huang, Weibao Liang

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Article in Frontiers in physiology, 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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1 · What the graph read from it

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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

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Shuwei ChenInstitute of Athletic Training Science, Capital University of Physical Education and Sports, Beijing, China.
Sen YangInstitute for Sport Performance and Health Promotion, Capital University of Physical Education and Sports, Beijing, China.
Xiubing ZhangInstitute of Athletic Training Science, Capital University of Physical Education and Sports, Beijing, China.
Jiahui YeInstitute of Athletic Training Science, Capital University of Physical Education and Sports, Beijing, China.
Shanxin FengInstitute of Athletic Training Science, Capital University of Physical Education and Sports, Beijing, China.
Wenbai HuangGuangdong Provincial Key Laboratory of Speed Capability Research, Su Bingtian Center for Speed Research and Training, School of Physical Education, Jinan University, Guangzhou, China.
Weibao LiangGuangdong Provincial Key Laboratory of Speed Capability Research, Su Bingtian Center for Speed Research and Training, School of Physical Education, Jinan University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Traditional bilateral training often masks functional imbalances, potentially reinforcing dominance in the stronger limb. This study investigated the acute effects of minor offset loading (2.5% and 5% of 1RM) during the hexagonal bar deadlift (HBD) on neuromuscular activation patterns and subsequent power performance, aiming to explore its efficacy in acutely modulating bilateral activation asymmetry. Methods: Twelve resistance-trained male athletes with right-side dominance participated in a randomized crossover design. Participants performed HBDs under five conditions: Symmetric, and Offset loading (Left/Right) at 2.5% and 5% intensities. Surface electromyography (sEMG) was recorded from the Erector Spinae (ES), External Oblique (EO), Gluteus Maximus (GM), and Rectus Femoris (RF) bilaterally. Vertical jump height (CMJ) and Rating of Perceived Exertion (RPE) were assessed immediately post-exercise. Results: Baseline data under the Symmetric condition revealed a neuromuscular activation asymmetry, with significantly higher activation in the dominant (Right) RF and ES (p < 0.05). Offset loading elicited a robust, linear dose-response shift in neuromuscular drive ( Conclusion: Minor offset loading acts as a "stealth" stimulus that effectively overrides the body's default recruitment patterns. By acutely increasing neural drive to the weaker limb and engaging contralateral core stabilizers, non-dominant side offset loading not only acutely shifts the activation bias but also unlocks greater post-activation performance enhancement (PAPE) than traditional symmetric loading. These findings provide a quantitative framework for integrating offset HBD into strength and rehabilitation programs to resolve imbalances without inducing excessive fatigue.

Indexed as

asymmetry indexcore stabilitymotor controlpost-activation performance enhancement (PAPE)unilateral training

Identifiers

PMID41907537
PMCPMC13021404

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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.