ArticleBiology2022
Biological Maturation Predicts Dynamic Balance and Lower Limb Power in Young Football Players.
Article in Biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06325228 (Incidence and Relationshipis of Musculoskeletal Injuries, Sports Performance, Sports Specialization, and Quality of Life in Young Athletes. Project), which is not on this map. Cited by 9 papers.
What it found
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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.
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.
Incidence and Relationshipis of Musculoskeletal Injuries, Sports Performance, Sports Specialization, and Quality of Life in Young Athletes. Project: "Science of Healthy Sport"
Who cites it
9 citing papers in PubMed.
- Higher Sedentary Behaviors and Lower Levels of Specific Knowledge Are Risk Factors for Physical Activity-Related Injuries in Saudi Adolescents.International journal of environmental research and public health · 2023Trial
- Plantarflexion and frontal-plane ankle strength are associated with dynamic balance in youth male soccer athletes: a cross-sectional study.BMC sports science, medicine & rehabilitation · 2026Article
- Better Dynamic Balance as a Predictor of Better Horizontal Hop Performance: A Cross-Sectional Study.International journal of sports physical therapy · 2026Article
- Athletic performance levels across biological maturity status in youth soccer players.Frontiers in sports and active living · 2026Article
- Strength and balance asymmetries in children and adolescents: comparison between single- and multi-sport participants.BMC sports science, medicine & rehabilitation · 2025Article
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- Knee function and quality of life in adolescent soccer players with Osgood Shlatter disease history: a preliminary study.Scientific reports · 2023Article
- The impact of sport-specific physical fitness change patterns on lower limb non-contact injury risk in youth female basketball players: a pilot study based on field testing and machine learning.Frontiers in physiology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Biological maturation has an increasingly important role in youth sports. The aim of the study was to evaluate the relationship between dynamic balance and lower limb power and biological maturation in young football players. Seventy-two healthy, young male elite football players (age: 10 ± 2) participated in the study. Dynamic balance was assessed using a modified Star Excursion Balance Test (mSEBT). Power of the lower limbs was examined by a Countermovement Jump test (CMJ) and Single Leg Hop for Distance (SLHD). Furthermore, anthropometry and biological maturation (age, peak height velocity, and maturity offset) were assessed. There was a strong positive correlation between vertical jump (r = 0.75), distance long jump (r = 0.84), and biological maturation. A moderate positive correlation was found between dynamic balance (mSEBT COM, PL, and PM) and maturity offset. There was a significant association between mSEBT, CMJ, and SLHD (p < 0.05). Moreover, maturity offset explained 75% of vertical jump and 74% of distance long jump performance, respectively, and 12% of dynamic balance. Biological maturation should be considered when assessing athletic performance, establishing rehabilitation, and sports training in youth football players.
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Registered trials
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.