Most kicking papers still over-sample men. In Acta of Bioengineering and Biomechanics we asked a narrower question: in elite female ITF athletes, how do kinetic and somatic variables relate to kicking force for turning vs side kicks?

Five women (age 27.0 ± 4.8 years, mass 64.2 ± 5.8 kg, height 163.0 ± 6.5 cm) performed 100 kicks onto a padded strain-gauge platform. Side kicks averaged higher peak pressure force (1770 N) than turning kicks (1379 N) (p < 0.01).

Effective mass, not vibes

Effective mass as a percentage of body mass was about 18% for the turning kick and 85% for the side kick. Pressure force rose with effective mass — the boring, useful sentence coaches actually need. Lower-limb segment accelerations showed the inverse trend versus force: faster segments do not automatically mean a harder plate reading.

Limits

n = 5 elites, one federation style, lab target. Treat means as cohort evidence, not a ranking table for every club. Still: if you programme women only from male datasets, you are guessing.

For sensor-side diagnostics we use the same philosophy as in IMU strike work — numbers before folklore.

The somatic side of the question is easy to abuse. Height and mass are not destiny; they are covariates. What the Acta paper emphasises is the coupling between effective mass and pressure force: when more of the athlete’s mass participates at contact, the plate reading rises. That is why the side kick’s ~85% effective-mass fraction is operationally interesting next to the turning kick’s ~18% in this female cohort.

Inverse acceleration trends in the lower-limb segments are a useful coaching paradox. Chasing peak shank or foot acceleration in isolation can look “explosive” on a phone video while under-delivering force on a pad. Synchronisation and stiffening at impact belong in the cue list beside speed.

Five athletes means wide confidence intervals around any mean. Still, an all-female elite sample is rarer than it should be in combat-sport biomechanics, and the force gap between techniques replicates the direction seen in mixed and male cohorts from the same lab family.

One hundred kicks is a dense session for five athletes — enough to stabilise technique means inside a small elite group. The padded strain-gauge target protected hands and feet while keeping the plate’s mechanical path short. We treat 1770 N vs 1379 N as a within-sample contrast, not a federation standard for every weight class.

How to read this without Instagram physics

Popular posts about martial arts love single numbers. Peer-reviewed combat-sport papers usually deliver distributions, small elite samples, and caveats. When we quote a median or a mean here, it is a laboratory reading under a stated protocol — pad or plate geometry, instruction to go maximal, a defined stance. Change the instruction or the target and the number moves. That is not a failure of science; it is why measurement exists.

Biokineticum’s role in these projects is the same as on the clinic floor: prefer a boring sensor over a loud opinion. If you want help instrumenting kicks or punches, or you need a physiotherapist who also writes the analysis code, the contact page is the honest next step — not a promise that your next roundhouse will match a table in Scientific Reports.

Final filter: if one table makes you rewrite an entire mesocycle or clinic pathway, pause. A single paper is a coordinate, not a season plan. Cross-check effect direction against the other ORCID-series posts, open the DOI, then edit the syllabus. We would rather see three coherent measurement sessions than one dramatic chart cropped for social media.

References

  1. Góra T, Wąsik J, Mosler D, Ortenburger D. Relationship of kinetic and somatic variables to kicking strength in female taekwon-do athletes. Acta of Bioengineering and Biomechanics. 2025. doi:10.37190/abb-02592-2025-02
More from the lab
Measurement-led biomechanics and clinical tools at Biokineticum.
Publications IMU diagnostics Contact
Dr. hab. Dariusz Mosler

Written by: Dr. hab. Dariusz Mosler

Scientist, lecturer, and physiotherapist. Integrates research data analytics, health engineering, and biomechanics to optimize the motor system and provide professional patient rehabilitation.