ArticlePloS one2023
The relationship between wellness and training and match load in professional male soccer players.
Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Using Match Reference Values of External Load to Monitor Performance and Fatigue in Football: Are We Looking the Right Way?Sports medicine - open · 2026Article
- 'Match load' construct in professional football: complexities and considerations.BMJ open sport & exercise medicine · 2026Article
- A 3-day step taper enhances explosive power, repeated sprint, and small-sided game performance in soccer.Frontiers in sports and active living · 2026Article
- Match vs. Training Physical Requirements and Their Association with Field-Based Physical Tests in International CP Football.Sports (Basel, Switzerland) · 2025Article
- Shaping Training Load, Technical-Tactical Behaviour, and Well-Being in Football: A Systematic Review.Sports (Basel, Switzerland) · 2025Review
- Impact of Four-Match Congestion on the Well-Being of Under-16 Male Soccer Players.Sports (Basel, Switzerland) · 2025Article
- Effect of match load on perceived wellness in highly trained female football players.PloS one · 2025Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aims of this study were to: (i) analyse the within-microcycle variations in professional soccer players; (ii) analyse the relationships between wellness and training and match load demands; (iii) analyse the relationships between match-day (MD) demands and wellness during the following day (MD+1); and (iv) analyse the relationships between MD and wellness during the day before match-play (MD-1). Thirteen professional soccer players (age: 24.85±3.13 years) were monitored daily over 16-weeks for wellness and training and match-play intensity. The daily wellness measures included fatigue, quality of sleep, muscle soreness, mood and stress using a 1-5 scale. Internal intensity was subjectively measured daily using the rating of perceived exertion (RPE) and the multiplication of RPE by session duration (s-RPE). While external intensity was quantified utilising high-speed running, sprinting, and acceleration and deceleration metrics. Data was analysed from each training session before (i.e., MD-5) or after the match (i.e., MD+1). Repeated measures ANOVA or Friedman ANOVA was used to analyse the aims (i) where Spearman correlation was applied to analyse the relationships between the aims (ii) and (iii) between sleep quality and training intensity. The main results for aim (i) showed that MD+1 presented the lowest values for wellness variables (p < 0.05). While MD-1 presented the lowest internal and external load values (for all variables), with MD presenting the highest values (p < 0.05). Regarding aim (ii), the main result showed significant large negative correlations between fatigue and s-RPE (r = -0.593; p = 0.033). Considering aim (iii), significant small to very large negative correlations were found for sleep quality, fatigue and muscle soreness with all internal and external variables (p < 0.05). Lastly, the main results for aim (iv) showed large negative correlations for fatigue and session duration; fatigue and s-RPE; muscle soreness and session duration; muscle soreness and s-RPE; and muscle soreness and decelerations (p < 0.05, for all). The main conclusions were that MD had an influence on wellness and internal and external training intensity, notably MD-1 and MD+1 were most affected. In this regard, a tendency of higher internal and external intensity on MD was associated with lower wellness measures of sleep quality, muscle soreness and fatigue on MD+1.
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