Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Predicting Injuries in Elite Female Football Players With Global-Positioning-System and Multiomics Data.

International journal of sports physiology and performance - 1 Jul 2024

González Juan R, Cáceres Alejandro, Ferrer Eva, Balagué-Dobón Laura, Escribà-Montagut Xavier, Sarrat-González David, Quintás Guillermo, Rodas Gil

Abstract excerpt

PURPOSE: Injury prevention is a crucial aspect of sports, particularly in high-performance settings such as elite female football. This study aimed to develop an injury prediction model that incorporates clinical, Global-Positioning-System (GPS), and multiomics (genomics and metabolomics) data to better understand the factors associated with injury in elite female football players. METHODS: We designed a...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Genetic Predisposition to Disease
Share to Genomics

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Metabolomics

Share to Multiomics

Share to Polymorphism, Genetic

Share to Risk Factors

Share to Young Adult

Source

Identifiers

PMID: 38753297
DOI: 10.1123/ijspp.2023-0184

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Predicting Injuries in Elite Female Football Players With Global-Positioning-System and Multiomics Data.PMID 38753297Read ↗

Association of Genetic Profile with Muscle Mass Gain and Muscle Injury Prevention in Professional Football Players after Creatine Supplementation.Semantic proximity Read ↗

Socceromics: A Systematic Review of Omics Technologies to Optimize Performance and Health in Soccer.Semantic proximity Read ↗

ACTN3 XX Genotype Negatively Affects Running Performance and Increases Muscle Injury Incidence in LaLiga Football Players.Semantic proximity Read ↗

Pre-season screening currently has no value for injury prediction: The development and internal validation of a multivariable prognostic model to predict indirect muscle injury risk in elite football (soccer) playersSemantic proximity Read ↗

The Genetic Association with Athlete Status, Physical Performance, and Injury Risk in Soccer.Semantic proximity Read ↗

Gene variants previously associated with reduced soft-tissue injury risk: Part 2 - Polygenic associations with elite status in Rugby.Semantic proximity Read ↗

Epidemiology and clinical profile of sports injuries treated in the Douala General Hospital and the Douala Laquintinie HospitalSemantic proximity Read ↗

Genetic Variants and Hamstring Injury in Soccer: An Association and Validation Study.Semantic proximity Read ↗

Skeletal muscle phenotype and game performance in elite women football players.Semantic proximity Read ↗

Assessing Body Mass Index as a Predictor of Running-Related Injuries: A Systematic Review and Meta- analysisSemantic proximity Read ↗

Hamstring Strain Injury Risk in Soccer: An Exploratory, Hypothesis-Generating Prediction ModelSemantic proximity Read ↗

Genetic Polymorphisms Associated with Non-Contact Muscle Injuries and Exercise-Induced Muscle Damage: A Systematic ReviewSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.