LOW SLEEP QUALITY AND MORNINGNESS-EVENINGNESS SCALE SCORE MAY IMPAIR BALL PLACEMENT BUT NOT KICKING VELOCITY IN YOUTH ACADEMY SOCCER PLAYERS

Purpose:To determine the sensitivity of a range of potential fatigue measures to daily training load accumulated over the previous 2, 3, and 4 d during a short in-season competitive period in elite senior soccer players (N = 10).Methods:Total highspeed-running distance, perceived ratings of wellness (fatigue, muscle soreness, sleep quality), countermovement-jump height (CMJ), submaximal heart rate (HRex), postexercise heart-rate recovery (HRR), and heart-rate variability (HRV: Ln rMSSD) were analyzed during an in-season competitive period (17 d). General linear models were used to evaluate the influence of 2-, 3-, and 4-d total high-speed-running-distance accumulation on fatigue measures.Results:Fluctuations in perceived ratings of fatigue were correlated with fluctuations in total high-speed-running-distance accumulation covered on the previous 2 d (r = –.31; small), 3 d (r = –.42; moderate), and 4 d (r = –.28; small) (P < .05). Changes in HRex (r = .28; small; P = .02) were correlated with changes in 4-d total high-speed-running-distance accumulation only. Correlations between variability in muscle soreness, sleep quality, CMJ, HRR%, and HRV and total high-speed-running distance were negligible and not statistically significant for all accumulation training loads.Conclusions:Perceived ratings of fatigue and HRex were sensitive to fluctuations in acute total high-speed-running-distance accumulation, although sensitivity was not systematically influenced by the number of previous days over which the training load was accumulated. The present findings indicate that the sensitivity of morning-measured fatigue variables to changes in training load is generally not improved when compared with training loads beyond the previous day’s training.

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WITHDRAWN: Cold water immersion effects on doms, muscle recruitment, dynamic postural control and sleep quality in soccer players: A randomized and blinded study

Physical Therapy in Sport ◽

10.1016/j.ptsp.2020.04.017 ◽

2020 ◽

Vol 45 ◽

pp. e4

Author(s):

Fernanda Bortolo Pesenti ◽

Rubens Alexandre da Silva ◽

Leticia Alves da Silva ◽

Ariobaldo Frisseli ◽

Christiane de Souza Guerino Macedo

Keyword(s):

Sleep Quality ◽

Postural Control ◽

Cold Water ◽

Water Immersion ◽

Cold Water Immersion ◽

Soccer Players ◽

Muscle Recruitment ◽

Blinded Study

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Sleep Quality Effects Mood, Anxiety And Disablement In Division I National Collegiate Athletic Association Men’s Soccer Players

Medicine & Science in Sports & Exercise ◽

10.1249/01.mss.0000561824.97520.c6 ◽

2019 ◽

Vol 51 (Supplement) ◽

pp. 442-443

Author(s):

Courteney L. Benjamin ◽

Ryan M. Curtis ◽

Robert A. Huggins ◽

Yasuki Sekiguchi ◽

William M. Adams ◽

...

Keyword(s):

Sleep Quality ◽

National Collegiate Athletic Association ◽

Division I ◽

Soccer Players

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The Reciprocal Association between Fitness Indicators and Sleep Quality in the Context of Recent Sport Injury

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph17134810 ◽

2020 ◽

Vol 17 (13) ◽

pp. 4810

Author(s):

Vasileios T. Stavrou ◽

Kyriaki Astara ◽

Zoe Daniil ◽

Konstantinos I. Gourgoulianis ◽

Konstantinos Kalabakas ◽

...

Keyword(s):

Heart Rate ◽

Oxygen Uptake ◽

Sleep Quality ◽

Body Fat ◽

Total Body Water ◽

Body Water ◽

Soccer Players ◽

Professional Soccer ◽

Predicted Values ◽

Total Body

The purpose of the study is to investigate whether the oxygen uptake and heart rate at rest, in Greek professional soccer players, are affected by recent injuries, as well as how sleep quality is affected. Forty-two male professional soccer players were included in the study and divided into two groups: injurygroup (n = 22, age: 21.6 ± 5.4 years, body fat: 11.0 ± 3.9%, total body water: 64.0 ± 2.5%) and no-injurygroup (n = 20, age: 24.2 ± 5.6 years, body fat: 10.1 ± 2.8%, total body water: 64.3 ± 1.8%). The oxygen uptake at rest (VO2resting, mL/min/kg) and heart rate (HR, bpm) were recorded in the upright position for 3 min, and the predicted values were calculated. One hour before, the athletes answered the Pittsburgh Sleep Quality Index (PSQI) questionnaire. The results showed a difference between groups (injurygroup vs. no-injurygroup) in VO2resting (7.5 ± 1.4 vs. 5.5 ± 1.2 mL/min/kg, p < 0.001) and percent of predicted values (92.5 ± 17.2 vs. 68.3 ± 14.6%, p < 0.001) and HR, such as beats per min (100.6 ± 12.8 vs. 93.1 ± 4.6 bpm, p = 0.001), percent of predicted values (50.7 ± 6.4 vs. 47.6 ± 2.8%, p = 0.003) and sleep quality score (PSQI: 4.9 ± 2.2 vs. 3.1 ± 0.9, p = 0.005). Anthropometric characteristics were not different between groups. Oxygen consumption and heart rate at rest are affected by the systemic adaptations due to injury. These pathophysiological changes probably relate to increased blood flow in an attempt to restore the injury area.

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Off-training physical activity and training responses as determinants of sleep quality in young soccer players

Scientific Reports ◽

10.1038/s41598-021-89693-4 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Nuno Mateus ◽

Juliana Exel ◽

Bruno Gonçalves ◽

Anthony Weldon ◽

Jaime Sampaio

Keyword(s):

Physical Activity ◽

Sleep Quality ◽

Sleep Onset ◽

Holistic Approach ◽

Soccer Players ◽

Sleep Onset Latency ◽

Youth Soccer ◽

Sports Organizations ◽

Health Related ◽

And Training

AbstractThis study aimed to quantify and assess the relationship of young soccer players' off-training physical activity (PA) and training responses on sleep quality. Eleven adolescent soccer players (13 ± 0.5 years old) were monitored during weekdays for four consecutive weeks, throughout soccer practice days. Off-training PA and sleep quality were assessed using 100 Hz tri-axial accelerometers and training responses analyzed using 20 Hz global positioning measurement units. A cluster analysis classified all cases into three different dimensions, (1) off-training PA, (2) training responses and (3) sleep quality. For each dimension, the most important variables for classifying the cases into clusters were sedentary PA and moderate-to-vigorous PA; total distance covered and impacts; and sleep onset latency and sleep fragmentation index, respectively. Afterwards, a correspondence analysis was used to identify whether off-training PA and training responses affected sleep quality. Results exposed that high to medium off-training PA combined with medium to high training responses may have decreased sleep quality. Conversely, no correspondence was observed between off-training PA and training responses, with higher sleep quality. This study emphasizes the importance of sports organizations adopting a holistic approach to youth soccer players’ development, that appropriately considers the inter-relationship between lifestyle, performance and health-related information.

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Intra- and Inter-week Variations of Well-Being Across a Season: A Cohort Study in Elite Youth Male Soccer Players

Frontiers in Psychology ◽

10.3389/fpsyg.2021.671072 ◽

2021 ◽

Vol 12 ◽

Author(s):

Hadi Nobari ◽

Maryam Fani ◽

Filipe Manuel Clemente ◽

Jorge Carlos-Vivas ◽

Jorge Pérez-Gómez ◽

...

Keyword(s):

Cohort Study ◽

Sleep Quality ◽

Muscle Soreness ◽

Well Being ◽

Delayed Onset Muscle Soreness ◽

Point Of View ◽

Soccer Players ◽

Early Season ◽

Youth Soccer ◽

Delayed Onset

This study describes the weekly variations of well-being ratings relative to fatigue (wFatigue), stress (wStress), delayed-onset muscle soreness (wDOMS), sleep quality (wSleep), and Hooper questionnaire (wHQ) throughout the season. In addition, the well-being variables for the playing position in different moments of the season were discussed. Twenty-one elite young soccer players U17 took part in this study. From the beginning of the pre-season, well-being status was monitored daily by the HQ method throughout 36 weeks, including four periods: (1) pre-season, (2) early-season, (3) mid-season, and (4) end-season. Players trained at least 3 times per week throughout the season. The main outcome was that, in weeks 33 and 28, the highest [wFatigue: 15.85 ± 3.38 arbitrary units (AU); wHQ: 48.86 ± 9.23 AU] and the lowest (wFatigue: 5.38 ± 1.88 AU; wHQ: 20.43 ± 5.49 AU) wFatigue and wHQ occurred, respectively, although the lowest level of wDOMS happened in week 28 (4.86 ± 2.15 AU), while the highest wDOMS was observed in week 5 (14.65 ± 4.16 AU). The highest wSleep (13.00 ± 2.12 AU) and wStress (11.65 ± 2.92 AU) were observed in weeks 8 and 34, respectively, while the lowest wSleep (5.81 ± 2.29 AU) and wStress (3.76 ± 0.94 AU) were marked in week 29 coincidentally. In the HQ between every weekday, except recovery day, and the day of the match (MD), considerable highest HQ was only revealed in 2 days after MD in contrast to overall team comparison. In the present study, we observed that the well-being changes between different phases of the season as well as between weeks and days of the week with the MD are significant. These results provide a great point of view for coaches and practitioners about well-being variations over a season in elite youth soccer level. As a result, coaches will be more aware about non-functional overreaching and taking measures to prevent it.

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Inter-relationship between sleep quality, insomnia and sleep disorders in professional soccer players

BMJ Open Sport & Exercise Medicine ◽

10.1136/bmjsem-2018-000498 ◽

2019 ◽

Vol 5 (1) ◽

pp. e000498

Author(s):

Karim Khalladi ◽

Abdulaziz Farooq ◽

Sofiane Souissi ◽

Christopher P Herrera ◽

Karim Chamari ◽

...

Keyword(s):

Sleep Quality ◽

Sleep Disorders ◽

Athletic Performance ◽

Daytime Sleepiness ◽

Severity Index ◽

Soccer Players ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Cross Sectional ◽

Professional Soccer

ObjectiveInsufficient sleep duration and quality has negative effects on athletic performance, injury susceptibility and athlete development. This study aimed to assess the sleep characteristics of professional Qatar Stars League (QSL) soccer players.MethodsIn a cross-sectional study, QSL players (n=111; 23.7±4.8 years) completed three questionnaires to screen sleep disorders: (1) Pittsburgh Sleep Quality Index (PSQI), (2) Insomnia Severity Index (ISI) and (3) Epworth Sleepiness Scale (ESS). Poor sleep quality was defined as PSQI≥5, excessive daytime sleepiness was defined by ESS>8 and insomnia was defined as ISI≥11.ResultsThe prevalence of poor sleep quality (PSQI≥5) was 68.5%, with subthreshold insomnia (ISI≥11) 27.0% and daytime sleepiness 22.5% (ESS>8). Sleep quality was positively associated with insomnia (r=0.42, p<0.001) and daytime sleepiness (r=0.23, p=0.018). Age, anthropometry, body composition and ethnicity were not associated with any of the reported sleep quality parameters.ConclusionThe prevalence of poor sleep quality (68.5%) reported should concern practitioners. Increasing awareness of the importance of sleep relative to athletic performance, recovery, injury and illness appears prudent. Further, regular qualitative/quantitative sleep monitoring may help target subsequent evidence-informed interventions to improve sleep in those demonstrating undesirable sleep traits.

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