ArticleHealthcare (Basel, Switzerland)2022
Relationships between Internal Training Intensity and Well-Being Changes in Youth Football Players.
Article in Healthcare (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
What it found
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A meta-analysis of the relationship between the RPE and well-being in adolescent athletes: the critical moderating role of well-being dimensions.Frontiers in psychology · 2025Pooled it
- Training Load, Injuries, and Well-Being in Youth Padel Players: A Cross-Sectional Study.Sports (Basel, Switzerland) · 2025Article
- Association Between Eating Behaviors and Subjective Well-Being in Japanese Male Collegiate Handball Players.Nutrients · 2025Article
- Match-to-Match Variation on High-Intensity Demands in a Portuguese Professional Football Team.Journal of functional morphology and kinesiology · 2024Article
- Effects of hyperbaric oxygen therapy on recovery after a football match in young players: a double-blind randomized controlled trial.Frontiers in physiology · 2024Article
- A link between mitochondrial damage and the immune microenvironment of delayed onset muscle soreness.BMC medical genomics · 2023Article
- Monitoring Internal Training Intensity Correlated with Neuromuscular and Well-Being Status in Croatian Professional Soccer Players during Five Weeks of the Pre-Season Training Phase.Sports (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
The aim of this study was two-fold: (i) to analyze the variations of training intensity and well-being measures of youth football player over a 38 week period; and (ii) to test the relationships between training intensity and well-being variations throughout a youth football season. This study followed a longitudinal design, lasting 38 weeks. Twenty-five players (age: 15.0 ± 0.4 years) participated in this study. Participants were monitored daily to quantify the training intensity (TI) using the session-rate of perceived exertion (s-RPE) and its related indices: training monotony (TM), weekly training intensity (wTI), mean training intensity (mTI), and 5-day average (5d-AVG). A four-item questionnaire was collected daily to quantify the well-being status of each player. Fatigue, stress, delayed onset muscle soreness (DOMS), sleep quality, and the Hooper Index (HI) measures were analyzed. Kruskal-Wallis H test revealed significant differences for TM, mTI, wTI and 5d-AVG (H = 359.53,
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Registered trials
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