Evidence map›Paper›PMID 42682455›Full record

ArticleFrontiers in sports and active living2026

Not all players warm up the same: position-specific external load during standardized pre-match protocol in women's handball.

Carlos García-Sánchez, Álvaro Caro Serrano, Reidel Cordoves Peinado, Raúl Nieto-Acevedo, Moisés Marquina Nieto, Alfonso de la Rubia

Abstract read
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Article in Frontiers in sports and active living, 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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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

6 authors.

Carlos García-SánchezDeporte y Entrenamiento Research Group, Departamento de Deportes, Facultad de Ciencias de la Actividad Física y del Deporte (INEF), Universidad Politécnica de Madrid, Madrid, Spain.
Álvaro Caro SerranoDeporte y Entrenamiento Research Group, Departamento de Deportes, Facultad de Ciencias de la Actividad Física y del Deporte (INEF), Universidad Politécnica de Madrid, Madrid, Spain.
Reidel Cordoves PeinadoUniversidad Pedagógica Nacional Francisco Morazán, Universidad Nacional Autónoma de Honduras, Tegucigalpa, Honduras.
Raúl Nieto-AcevedoFacultad de Ciencias Biomédicas y de la Salud, Universidad Alfonso X el Sabio (UAX), Madrid, Spain.
Moisés Marquina NietoDeporte y Entrenamiento Research Group, Departamento de Deportes, Facultad de Ciencias de la Actividad Física y del Deporte (INEF), Universidad Politécnica de Madrid, Madrid, Spain.
Alfonso de la RubiaDeporte y Entrenamiento Research Group, Departamento de Deportes, Facultad de Ciencias de la Actividad Física y del Deporte (INEF), Universidad Politécnica de Madrid, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Although monitoring external load during training and match play is essential to understand game demands, optimize performance, and reduce injury risk, the external load accumulated during the pre-match warm-up has received little attention in women's handball. Therefore, the aims of the present study were: (i) to analyze and compare positional differences in the external load registered during a standardized pre-match warm-up protocol in official matches in women's handball; and (ii) to examine the external load accumulated during the warm-up relative to match demands according to playing position. Methods: Twenty-two female players from the Spanish 2nd Division were monitored across 13 official home matches and their respective pre-match warm-ups. Total distance covered (TDC), high-speed running (HSR), metabolic power (MP), high metabolic load distance (HMLD), high-intensity accelerations (HIA), high-intensity decelerations (HID), and PlayerLoad (PL) were recorded in absolute and relative values (normalized by playing time) using a WIMU PRO™ LPS integrating UWB and IMU technology. Positional differences were analyzed using one-way ANOVA or Kruskal-Wallis test. The statistical significance level was set at Results: Significant between-position differences were found in TDC, TDC/min, HSR, HSR/min, HMLD, HMLD/min, MP/min, PL, and PL/min ( Conclusions: External load registered during a standardized pre-match warm-up in women's handball is position-specific and should not be considered a uniform preparatory stimulus across players. Warm-up load represents a meaningful component of total match-day external load and should be structured according to the technical and physical demands of each playing position. These findings support the individualization of pre-match warm-up strategies according to playing position.

Indexed as

inertial measurement unitslocal positioning systemplayer monitoringteam sporttracking systemultra-wideband technologywearable device

Identifiers

PMID42682455
PMCPMC13529493

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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.