ArticleBiology2022
In-Season Quantification and Relationship of External and Internal Intensity, Sleep Quality, and Psychological or Physical Stressors of Semi-Professional Soccer Players.
Article in Biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 25 citations in OpenAlex.
- Heart Rate Variability and Perceived Recovery as Predictors of Performance in Athletes Competing in Sprint Events.Sensors (Basel, Switzerland) · 2026Article
- Shaping Training Load, Technical-Tactical Behaviour, and Well-Being in Football: A Systematic Review.Sports (Basel, Switzerland) · 2025Review
- Intra and inter variation in training load, recovery state and technical-tactical performance across a standard microcycle in Sub-elite youth football players.Frontiers in sports and active living · 2025Article
- Editorial: Functional kinesiology in health and performance.Frontiers in sports and active living · 2024Article
- Effects of different training schedules based on distance and accelerometry measures: A full-season case study in professional soccer players.Scientific reports · 2023Article
- Effects of Game Weekly Frequency on Subjective Training Load, Wellness, and Injury Rate in Male Elite Soccer Players.International journal of environmental research and public health · 2022Article
- Effects of match contextual factors on internal and external load in elite Brazilian professional soccer players through the season.Scientific reports · 2022Article
- Article
- Within-week differences in external training load demands in elite volleyball players.BMC sports science, medicine & rehabilitation · 2022Article
- Article
- Decline in Running Performance in Highest-Level Soccer: Analysis of the UEFA Champions League Matches.Biology · 2022Article
- Biological Mechanisms Underlying Physical Fitness and Sports Performance: An Editorial.Biology · 2022Article
- Seasonal variations of the relationships between measures of training monotony and strain in professional soccer players.Scientific reports · 2022Article
- Effects of small-sided games and running-based high-intensity interval training on body composition and physical fitness in under-19 female soccer players.BMC sports science, medicine & rehabilitation · 2022Article
- Wellness Forecasting by External and Internal Workloads in Elite Soccer Players: A Machine Learning Approach.Frontiers in physiology · 2022Article
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 4 countries.
Funding
Abstract
The purpose of this study was two-fold: (a) to describe and analyse the relationship of the in-season variations of external and internal intensity metrics as well as well-being measures across different periods of a semi-professional soccer season (early-, mid- and end-season); and (b) to describe training monotony (TM) and training strain (TS) for 20 weeks in a semi-professional soccer season. Eighteen semi-professional players (age: 29 ± 4.1) from the Asian First League team participated in this study. The players were monitored for 20 consecutive weeks during in-season for external training intensity, internal training intensity and well-being parameters. The in-season was organized into three periods: early-season (weeks 1−7); mid-season (weeks 8−13); and end-season (weeks 14−20). Total distance (TD), high-speed running distance (HSRD), sprint distance, rate of perceived exertion (RPE), session-RPE (s-RPE), TM, TS, heart rate average and maximum, as well as sleep quality, stress and muscle soreness were collected. Results revealed that TD, HSRD and sprint distance (total values) were meaningfully greater during end-season than in the early-season. RPE showed a significantly highest value during the end-season (4.27 AU) than in early- (3.68 AU) and mid-season (3.65 AU), p < 0.01. TS showed significant differences between early-season with mid-season (p = 0.011) and end-season (p < 0.01), and the highest value occurred in week 17 during end-season (6656.51 AU), while the lowest value occurred in week 4 during early-season (797.17 AU). The average TD periods showed a moderate to large correlation with RPE, sleep and s-RPE at early-, mid- and end-season. Increasing the training intensity without considering the well-being of the players affects the performance of the team. Examining processes of the relationship between training intensity and other psychological indicators among players will probably be effective in training planning. Sports coaches and fitness professionals should be wary of changes in TM and TS that affect players performance. Therefore, to better control the training, more consideration should be given by the coaches.
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