Evidence map›Paper›PMID 41295665›Full record

ArticleVeterinary sciences2025

Locomotory Profile, Heart Rate Variability, and Blood Parameters Reveal Adaptive Responses in Endurance Horses Trained on Deep Sand.

Elisabetta Porzio, Samanta Mecocci, Giovanni Chillemi, Massimo Puccetti, Marco Pepe, Katia Cappelli, Francesca Beccati

Abstract read
In one paragraph

Article in Veterinary sciences, 2025. 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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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Elisabetta PorzioDepartment of Veterinary Medicine, University of Perugia, Via San Costanzo 4, 06126 Perugia, Italy.ORCID 0009-0005-3067-9557
Samanta MecocciDepartment of Veterinary Medicine, University of Perugia, Via San Costanzo 4, 06126 Perugia, Italy.ORCID 0000-0003-2998-0412
Giovanni ChillemiDepartment of Experimental Medicine, University of Rome "Tor Vergata", 00133 Rome, Italy.ORCID 0000-0003-3901-6926
Massimo PuccettiDubai Equine Hospital, Zabeel, Dubai P.O. Box 9373, United Arab Emirates.
Marco PepeDepartment of Veterinary Medicine, University of Perugia, Via San Costanzo 4, 06126 Perugia, Italy.ORCID 0000-0002-9141-0536
Katia CappelliDepartment of Veterinary Medicine, University of Perugia, Via San Costanzo 4, 06126 Perugia, Italy.ORCID 0000-0002-3141-771X
Francesca BeccatiDepartment of Veterinary Medicine, University of Perugia, Via San Costanzo 4, 06126 Perugia, Italy.ORCID 0000-0002-3126-2738

Funding

Founded by the European Union - Next Generation EU - Missione 4, Componente 2 - Investimento 1.1 - MUR-PRIN2022, ECOS (Equine resilience and welfare in Climate change and stressful scenarios using Omic technologies and innovative low cost Sensors - ECOS) Codice 2022Z39C97, CUP J53D23010670 006
6 · The paper itself

Abstract

Training on deep sand is commonly employed in endurance horses, but its physiological adaptation remains poorly characterized. This study aimed to characterize locomotor adaptations during a 7 km controlled-speed canter on deep sand in eighteen endurance horses, to identify heart rate variability (HRV) components, and to investigate changes in hematological variables before and after exercise. Stride frequency (SF) and stride length (SL), HRV, and hematological profiles were recorded during exercise and recovery with a fitness tracker. Associations between maximum speed and locomotor parameters were assessed by linear regression, while Pearson's correlation assessed HRV relationships, also with physiological parameters. Hematological parameters were assessed with paired t-test before and after training. SL percentage change was the strongest predictor of speed (β = 0.677). HRV analysis revealed delayed parasympathetic reactivation; the parasympathetic recovery index (PNS REC) was correlated with mean RR interval on the ECG (r = 0.968) and heart rate (r = -0.964) during recovery. Post-exercise rectal temperature showed correlations with HRV recovery indices. Hematological evaluation revealed post-exercise increases in red blood cell count, hematocrit, hemoglobin, and corpuscular indices. SL plays a predominant role in achieving higher speeds on deep sand, while PNS REC emerges as a practical and accessible marker of autonomic recovery and fatigue. Horses with enhanced thermoregulation recover better. Hematological results confirm a physiological stress response that may optimize oxygen delivery. Integrating locomotor, cardiovascular, and hematological monitoring may improve management and welfare in endurance training.

Indexed as

athleteautonomic regulationequineexercisefitness tracker

Identifiers

PMID41295665
PMCPMC12656824

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Registered trials

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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.