ArticleFrontiers in sports and active living2022
Simplifying External Load Data in NCAA Division-I Men's Basketball Competitions: A Principal Component Analysis.
Article in Frontiers in sports and active living, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.
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Who cites it
11 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Principal Component Analysis Applied to In-School Inertial Measurement Unit-Derived Data During Physical Activity: A Systematic Review Highlighting Children's Behavioral Patterns.Sensors (Basel, Switzerland) · 2026Pooled it
- The Correlations Between Training Load Parameters and Physical Performance Adaptations in Team Sports: A Systematic Review and Meta-analysis.Sports medicine - open · 2025Pooled it
- Data-Driven Reduction of External Load Variables in Indoor Team Sports Using Local Positioning System.Journal of functional morphology and kinesiology · 2026Article
- Acute Effects of Three Recovery Interventions on Post-Practice Vertical Jump Force-Time Metrics in Female Basketball Players.Journal of functional morphology and kinesiology · 2026Article
- Tracking key metrics: fluctuations in external and internal load across game quarters in collegiate basketball players.BMC sports science, medicine & rehabilitation · 2025Article
- Game vs. Practice Differences in External Load in U16 and U18 Women's Basketball Players.Sports (Basel, Switzerland) · 2025Article
- Physical, Physiological, Technical and Tactical Responses According to the Playing Position in Male Basketball: A Systematic Scoping Review.Journal of human kinetics · 2025Review
- Action Recognition in Basketball with Inertial Measurement Unit-Supported Vest.Sensors (Basel, Switzerland) · 2025Article
- A comparison of the physical demands generated by playing different opponents in basketball friendly matches.Biology of sport · 2024Article
- Investigating the stretch-shortening cycle fatigue response to a high-intensity stressful phase of training in collegiate men's basketball.Frontiers in sports and active living · 2024Article
- Within-week differences in external training load demands in elite volleyball players.BMC sports science, medicine & rehabilitation · 2022Article
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The primary purpose was to simplify external load data obtained during Division-I (DI) basketball competitions via principal component analysis (PCA). A secondary purpose was to determine if the PCA results were sensitive to load demands of different positional groups (POS). Data comprised 229 observations obtained from 10 men's basketball athletes participating in NCAA DI competitions. Each athlete donned an inertial measurement unit that was affixed to the same location on their shorts prior to competition. The PCA revealed two factors that possessed eigenvalues >1.0 and explained 81.42% of the total variance. The first factor comprised total decelerations (totDEC, 0.94), average speed (avgSPD, 0.90), total accelerations (totACC, 0.85), total mechanical load (totMECH, 0.84), and total jump load (totJUMP, 0.78). Maximum speed (maxSPD, 0.94) was the lone contributor to the second factor. Based on the PCA, external load variables were included in a multinomial logistic regression that predicted POS (Overall model,
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