Differential rotational and translational movements along the thoraco-lumbo-sacral spine of load and non-load pulling military and police horses walking and trotting on hard and soft surfaces

Abstract To improve detection of equine back-related disorders, it is important to establish how movement dynamics in horses’ thoraco-lumbo-sacral spine are normally affected by intrinsic and extrinsic factors. This cross-sectional study aimed to quantify how discipline, gait, and surface impact differential rotational and translational movements along the backs of 107 horses from the military and police forces. The horses were walked and trotted in-hand in a straight-line over hard and soft surfaces. During the exercises, nine inertial sensors (XSens MTw) were mounted to the poll, withers, thoracic vertebrae-13 (T13) and 18 (T18), lumbar vertebra-3 (L3), sacrum (between tubera sacrale), left and right tubera coxae, and caudal sacrum (‘tail’). Linear mixed models assessed whether horse discipline (load pulling or non-load pulling), surface (soft or hard), age, or stride time influenced rotational and translational range of motion differences between adjacent sensors at either walk or trot (significance at p < 0.05). When compared to non-load pullers, it was apparent that the load pullers had reductions in differential rotational movements (0.5–3.1º in walk, p ≤ 0.039; and 0.5–2.3º in trot, p ≤ 0.049) and reductions in differential cranio-caudal, medio-lateral and dorso-ventral translations (2.2–15.0 mm in walk, p ≤ 0.039; and 1.2–7.6 mm, p ≤ 0.045 in trot), plus an increase in differential cranio-caudal translation at the Poll-Withers (12.8 mm in trot, p < 0.001). Soft surfaces increased differential rotational movements (0.1–1.2º in walk, p ≤ 0.048; and 0.2–2.9º in trot, p ≤ 0.007) and differential translational movements (1.4–16.3 mm in walk, p ≤ 0.002; and 0.5–2 mm in trot, p ≤ 0.007) in most regions of the thoraco-lumbo-sacral spine compared to hard surfaces. The amplitude of differential rotational and translational movements did not show systematic patterns with stride time and age. Further work is needed to understand whether the observed changes to differential rotational and translational movements along the equine thoraco-lumbo-sacral spine, imposed by working discipline and surface conditions, impact long-term equine health, well-being, or susceptibility to injury. This work will lay foundations for the development of an equine back dynamics reference framework, to which individual data may be compared.

Authors

Institutions

Publication Details

Journal
BMC Veterinary Research
Published
2026-09-08
DOI
https://doi.org/10.1186/s12917-026-05804-1
Primary Topic
Veterinary Equine Medical Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Differential rotational and translational movements along the thoraco-lumbo-sacral spine of load and non-load pulling military and police horses walking and trotting on hard and soft surfaces

H. Telfer, K. Horan, S. E. Warner, P. Day et al.
BMC Veterinary Research
Veterinary Equine Medical Research
article

Differential rotational and translational movements along the thoraco-lumbo-sacral spine of load and non-load pulling military and police horses walking and trotting on hard and soft surfaces

H. Telfer, K. Horan, S. E. Warner, P. Day, N. Housby-Skeggs, E. Lane-Ley, D. Berner
article en

Abstract

Abstract To improve detection of equine back-related disorders, it is important to establish how movement dynamics in horses’ thoraco-lumbo-sacral spine are normally affected by intrinsic and extrinsic factors. This cross-sectional study aimed to quantify how discipline, gait, and surface impact differential rotational and translational movements along the backs of 107 horses from the military and police forces. The horses were walked and trotted in-hand in a straight-line over hard and soft surfaces. During the exercises, nine inertial sensors (XSens MTw) were mounted to the poll, withers, thoracic vertebrae-13 (T13) and 18 (T18), lumbar vertebra-3 (L3), sacrum (between tubera sacrale), left and right tubera coxae, and caudal sacrum (‘tail’). Linear mixed models assessed whether horse discipline (load pulling or non-load pulling), surface (soft or hard), age, or stride time influenced rotational and translational range of motion differences between adjacent sensors at either walk or trot (significance at p < 0.05). When compared to non-load pullers, it was apparent that the load pullers had reductions in differential rotational movements (0.5–3.1º in walk, p ≤ 0.039; and 0.5–2.3º in trot, p ≤ 0.049) and reductions in differential cranio-caudal, medio-lateral and dorso-ventral translations (2.2–15.0 mm in walk, p ≤ 0.039; and 1.2–7.6 mm, p ≤ 0.045 in trot), plus an increase in differential cranio-caudal translation at the Poll-Withers (12.8 mm in trot, p < 0.001). Soft surfaces increased differential rotational movements (0.1–1.2º in walk, p ≤ 0.048; and 0.2–2.9º in trot, p ≤ 0.007) and differential translational movements (1.4–16.3 mm in walk, p ≤ 0.002; and 0.5–2 mm in trot, p ≤ 0.007) in most regions of the thoraco-lumbo-sacral spine compared to hard surfaces. The amplitude of differential rotational and translational movements did not show systematic patterns with stride time and age. Further work is needed to understand whether the observed changes to differential rotational and translational movements along the equine thoraco-lumbo-sacral spine, imposed by working discipline and surface conditions, impact long-term equine health, well-being, or susceptibility to injury. This work will lay foundations for the development of an equine back dynamics reference framework, to which individual data may be compared.

BMC Veterinary Research
Royal Veterinary College (GB), Melbourn Science Park (GB), Buckinghamshire Healthcare NHS Trust (GB), King George Hospital (GB)
Horse Trust
Openalex Percentile: Top 10%
Veterinary Equine Medical Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.