scholarly journals Counting Blessings Promotes an Athlete’s Sleep Quality Before an Upcoming Competition A Single-Case Study

2021 ◽  
Author(s):  
Jian-Hong Chen ◽  
Chih-En Kuo ◽  
Lung Hung Chen
Keyword(s):  
Sleep Quality ◽  
Polynomial Regression ◽  
Elite Athletes ◽  
Single Case ◽  
Critical Issue ◽  
Regression Curves ◽  
Wearable Eeg ◽  
High Tension ◽  
Gratitude Intervention ◽  
Preparation Period

Abstract Background Promotion of sleep quality without medication is a critical issue, which may directly or indirectly influence sports performance. This study adopted electroencephalography (EEG) to investigate gratitude intervention for improving elite athletes’ sleep quality before the National Games. Case presentation: We recruited a 20-year-old elite female Taekwondo athlete as a participant. Before the National Games, the athlete wore a micro EEG device for five days to collect baseline data and then counted her blessings as a gratitude intervention for the subsequent five days. The sleep EEG analysis included the power ratio and the polynomial regression trends in the 0.5-4 Hz band for N3 sleep and in the 0.5-4 Hz and 8–13 Hz bands for all-night sleep. Sleep quality was improved after counting blessing both subjectively and objectively. The polynomial regression curves for the 10 days of recording showed an upward tendency of power in the 0.5-4 Hz band for N3 and a downward tendency in the 8–13 Hz band. Conclusion This study describes a useful wearable EEG device for evaluating sleep during the competition preparation period. In addition, the brief gratitude intervention can be applied in practice to enhance sleep quality for elite athletes during periods of high tension.

scholarly journals The Chronotype of Elite Athletes

2016 ◽  
Vol 54 (1) ◽  
pp. 219-225 ◽  
Author(s):  
Michele Lastella ◽  
Gregory D. Roach ◽  
Shona L. Halson ◽  
Charli Sargent
Keyword(s):  
Young Adult ◽  
Sleep Quality ◽  
Elite Athletes ◽  
Adult Population ◽  
Control Group ◽  
Training Phase ◽  
Clear Indication ◽  
Selection Processes ◽  
Young Adult Population ◽  
Sleep Satisfaction

AbstractThe aims of this study were (i) to compare the chronotype distribution of elite athletes to a young adult population and (ii) to determine if there was a tendency for athletes to select and/or participate in sports which suited their chronotype. A total of 114 elite athletes from five sports (cricket, cycling, hockey, soccer and triathlon) participated in this study. The participants’ chronotype, sleepiness, sleep satisfaction and sleep quality were determined using the Horne and Östberg Morningness and Eveningness questionnaire, the Epworth Sleepiness Scale and questions concerning their sleep satisfaction and quality. All questionnaires were administered during a typical training phase that was not in the lead up to competition and/or post competition. No differences between chronotype group for sleepiness, sleep satisfaction or sleep quality were found. There was a significantly higher proportion of triathletes that were morning and intermediate types compared to the control group χ2 (2) = 7.5, p = 0.02. A significant relationship between sport and chronotype group (χ2(4)=15.9, p = 0.04) was observed, with a higher frequency of morning types involved in sports that required morning training. There was a clear indication that athletes tended to select and pursue sports that suited their chronotype. This was evident by the amount of morning types involved in morning sports. Given that athletes are more likely to pursue and excel in sports which suit their chronotype, it is recommended that coaches consider the athlete’s chronotype during selection processes or if possible design and implement changes to training schedules to either suit the athletes’ chronotype or the timing of an upcoming competition.

The Quiet Eye durations of air pistol shooting athletes

2021 ◽  
Vol 15 (7) ◽  
pp. 2246-2252
Author(s):  
Tonguç Vardar ◽  
Fatih Senduran
Keyword(s):  
Eye Tracking ◽  
Elite Athletes ◽  
Critical Role ◽  
Computer Software ◽  
Motor Task ◽  
Biometric Analysis ◽  
Quiet Eye ◽  
Preparation Period ◽  
Recorded Data ◽  
Tracking Device

Background: The Focusing the attention during the preparation period undergone immediately before carrying out a motor performance is vitally important for success. Visual ability, Quiet Eye and focusing the attention on the appropriate area play a critical role in achieving successful performance in branches of sport. Quiet eye (QE) is defined as the final fixation of the pupil on a location or object for a specific motor task. Aim: The aim of this study was to examine the durations of effective and final focusing (quiet eye) carried out during the process of taking aim at the target by air pistol shooting athletes with their eyes immediately before taking a shot. Methods: A total of 8 right-handed male licensed pistol shooting athletes (4 novice and 4 elite) participated in the research. A total of 320 shots -160 dry (unscored) and 160 live (scored) shots were taken by the novice and elite athletes. For the purpose of recording pupil movements and quiet eye durations during the shots taken by the athletes, an eye-tracking device attached to the head was used. The recorded data were examined with iMotions computer software, which can perform biometric analysis. The athletes’ quiet eye durations occurring when taking aim at the target were examined according to athletes’ characteristics (novice and elite) and the type of shot carried out (scored and unscored) by means of the independent samples t-test. Results: The findings of the study revealed that the athletes had 25.3% longer quiet eye durations when firing scored shots than when firing unscored shots (p = .000). Especially, novice athletes exhibited 37.8% longer periods of focusing behaviour when firing scored shots than when firing unscored shots (p = .000). Elite athletes displayed 21.26% longer periods of focusing behaviour when firing unscored shots compared with novice athletes (p = .005). Conclusion: According to the results of the research, it can be said that in the sport of air pistol shooting, giving priority to dry shooting training and conducting special exercises for developing quiet eye (QE) duration can contribute positively to the development of novice athletes’ shooting skills. Keywords: Quiet eye, eye tracking, air pistol, shooting, motor skill, cognitive processes

Stressed and Not Sleeping: Poor Sleep and Psychological Stress in Elite Athletes Prior to the Rio 2016 Olympic Games

2021 ◽  
pp. 1-8
Author(s):  
Shona L. Halson ◽  
Renee N. Appaneal ◽  
Marijke Welvaert ◽  
Nirav Maniar ◽  
Michael K. Drew
Keyword(s):  
Sleep Quality ◽  
Psychological Stress ◽  
Perceived Stress ◽  
Quality Index ◽  
Sleep Disturbances ◽  
Olympic Games ◽  
Pittsburgh Sleep Quality Index ◽  
Elite Athletes ◽  
Poor Sleep ◽  
Stress Scale

Purpose: Psychological stress is reported to be an important contributor to reduced sleep quality and quantity observed in elite athletes. The purpose of this study was to explore the association between psychological stress and sleep and to identify if specific aspects of sleep are disturbed. Methods: One hundred thirty-one elite athletes (mean [SD], male: n = 46, age 25.8 [4.1] y; female: n = 85, age 24.3 [3.9] y) from a range of sports completed a series of questionnaires in a 1-month period approximately 4 months before the 2016 Rio Olympic Games. Questionnaires included the Pittsburgh Sleep Quality Index; Recovery-Stress Questionnaire; Depression, Anxiety, and Stress Scale (DASS 21); and Perceived Stress Scale (PSS). Results: Regression analysis identified the PSS and DASS stress as the main variables associated with sleep. A PSS score of 6.5 or higher was associated with poor sleep. In addition, a PSS score lower than 6.5 combined with a DASS stress score higher than 4.5 was also associated with poor sleep. Univariate analyses on subcomponents of the Pittsburgh Sleep Quality Index confirmed that PSS is associated with lower sleep quality (t99 = 2.40, P = .018), increased sleep disturbances (t99 = 3.37, P = .001), and increased daytime dysfunction (t99 = 2.93, P = .004). DASS stress was associated with increased sleep latency (t94 = 2.73, P = .008), increased sleep disturbances (t94 = 2.25, P = .027), and increased daytime dysfunction (t94 = 3.58, P = .001). Conclusions: A higher stress state and higher perceived stress were associated with poorer sleep, in particular increased sleep disturbances and increased daytime dysfunction. Data suggest that relatively low levels of psychological stress are associated with poor sleep in elite athletes.

scholarly journals Sleep Quality and Chronotype Differences between Elite Athletes and Non-Athlete Controls

2018 ◽  
Vol 1 (1) ◽  
pp. 3-12 ◽  
Author(s):  
Amy Bender ◽  
Hans Van Dongen ◽  
Charles Samuels
Keyword(s):  
Sleep Quality ◽  
Sleep Disturbances ◽  
Elite Athletes ◽  
Group Differences ◽  
Control Group ◽  
Global Score ◽  
Subjective Sleep Quality ◽  
Wake Time ◽  
National Team ◽  
Composite Scale

Previous research has found that elite athletes have insufficient sleep, yet the specific kinds of sleep disturbances occurring as compared to a control group are limited. Here we compare the subjective sleep quality and chronotype of elite athletes to a control group of non-athlete good sleepers. Sixty-three winter Canadian National Team athletes (mean age 26.0 ± 0.0; 32% females) completed the Pittsburgh Sleep Quality Index (PSQI) and the Athlete Morningness Eveningness Scale. They were compared to 83 healthy, non-athlete, good-sleeper controls (aged 27.3 ± 3.7; 51% females) who completed the PSQI and the Composite Scale of Morningness. The elite athletes reported poorer sleep quality (PSQI global score 5.0 ± 2.6) relative to the controls (PSQI global score 2.6 ± 1.3), despite there being no group difference in self-reported sleep duration (athletes 8.1 ± 1.0 h; controls 8.0 ± 0.7 h). Further, athletes’ chronotype distribution showed a greater skew toward morningness, despite there being no group differences in self-reported usual bedtime and wake time. These results suggest that a misalignment of sleep times with circadian preference could contribute to poorer sleep quality in elite athletes.

scholarly journals Asset deterioration analysis using multi-utility data and multi-objective data mining

2009 ◽  
Vol 11 (3-4) ◽  
pp. 211-224 ◽  
Author(s):  
D. A. Savic ◽  
O. Giustolisi ◽  
D. Laucelli
Keyword(s):  
Data Mining ◽  
Polynomial Regression ◽  
Single Case ◽  
Model Parameters ◽  
Physical Systems ◽  
Multi Objective ◽  
Evolutionary Polynomial Regression ◽  
Physically Based ◽  
Physical Laws

Physically-based models derive from first principles (e.g. physical laws) and rely on known variables and parameters. Because these have physical meaning, they also explain the underlying relationships of the system and are usually transportable from one system to another as a structural entity. They only require model parameters to be updated. Data-driven or regressive techniques involve data mining for modelling and one of the major drawbacks of this is that the functional form describing relationships between variables and the numerical parameters is not transportable to other physical systems as is the case with their classical physically-based counterparts. Aimed at striking a balance, Evolutionary Polynomial Regression (EPR) offers a way to model multi-utility data of asset deterioration in order to render model structures transportable across physical systems. EPR is a recently developed hybrid regression method providing symbolic expressions for models and works with formulae based on pseudo-polynomial expressions, usually in a multi-objective scenario where the best Pareto optimal models (parsimony versus accuracy) are selected from data in a single case study. This article discusses the improvement of EPR in dealing with multi-utility data (multi-case study) where it has been tried to achieve a general model structure for asset deterioration prediction across different water systems.

Sleep Quality in Elite Athletes: Normative Values, Reliability and Understanding Contributors to Poor Sleep

2021 ◽  
Author(s):  
Shona L. Halson ◽  
Rich D. Johnston ◽  
Renee N. Appaneal ◽  
Margot A. Rogers ◽  
Liam A. Toohey ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Elite Athletes ◽  
Normative Values ◽  
Poor Sleep

Cleaning and regeneration of periphyton biofilm in surface water treatment systems

2013 ◽  
Vol 69 (2) ◽  
pp. 235-243 ◽  
Author(s):  
Yonghong Wu ◽  
Lizhong Xia ◽  
Nian Liu ◽  
Shuai Gou ◽  
Bibhash Nath
Keyword(s):  
Community Structure ◽  
Water Treatment ◽  
Surface Water ◽  
Polynomial Regression ◽  
Oxygen Demand ◽  
Surface Water Treatment ◽  
Regression Curves ◽  
Edta Solution ◽  
Sequential Addition ◽  
Removal Processes

The fouling of periphyton biofilm is a common problem associated with surface water treatment systems. In this study, sulfuric acid (H2SO4), sodium acetate (CH3COONa) and ethylenediamine tetra-acetic acid (EDTA) solutions were sequentially used to clean periphyton biofilms collected from a surface water treatment system. The results showed that the sequential addition of H2SO4 and CH3COONa solutions could accelerate the exfoliation of the fouled periphyton biofilm, while the addition of EDTA solution could regenerate the periphyton biofilm. However, the addition of H2SO4 and CH3COONa solution might negatively affect the bacterial community structure, while the addition of EDTA solution facilitated improvement of the community structure. The combined effect of cleaning and regeneration of periphyton biofilm has significantly improved the removal efficiencies of chemical oxygen demand (COD), total phosphorus (TP), total nitrogen (TN) and ammonia (NH4-N), by 19, 20, 23 and 22%, respectively. The removal processes of COD, TP, TN and NH4-N by the cleaned biofilm were fitted to power regression curves, while those by the control biofilm during the removal process were fitted to polynomial regression curves. These systemic results indicate that the sequential addition of H2SO4, CH3COONa and EDTA solution is able to clean fouled periphyton biofilm and to enhance the efficiency of surface water treatment systems.

scholarly journals Sleep quality and athletic performance according to chronotype

2020 ◽  
Author(s):  
Seung-Taek Lim ◽  
Do-Yoon Kim ◽  
Hyeong-Tae Kwon ◽  
Eunjae Lee
Keyword(s):  
Sleep Quality ◽  
Athletic Performance ◽  
Peak Power ◽  
Elite Athletes ◽  
Sleep Onset ◽  
Poor Sleep ◽  
Sleep Onset Latency ◽  
Early Type ◽  
Late Type ◽  
Mean Power

Abstract Background: When studying the quality of sleep in relation to athletic performance, the athlete's chronotype and habitual time consider important factors. We aim to investigate the sleep quality and athletes’ performance according to chronotype in elite athletes. Methods: Three hundred forty elite athletes (males = 261, females = 79) were recruited for the present study. All participants were screening for chronotype by the Korean versions of the Morningness - Eveningness Questionnaire (MEQ-K). The Pittsburgh Sleep Quality Index (PSQI) and Wingate Anaerobic Test (WAnT) were measurement after screening.Results: PSQI global score, PSQI sleep quality, PSQI sleep onset latency, PSQI sleep disturbance, and PSQI daytime dysfunction were significant differences among the groups. WAnT mean power (W), mean power (W/kg), peak power (W), and peak power (W/kg) were significant differences among the groups. A negative correlation coefficient was found between PSQI score and WAnT mean power (W), mean power (W/kg), peak power (W), and peak power (W/kg).Conclusions: This study indicates that related poor sleep quality and late-type chronotype may reduce the athletes’ performance in elite athletes. In addition, the sleep quality is much better in the early-type chronotype than in the late-type chronotype. Moreover, it also the athletic performance was better in the early-type chronotype than in the late-type chronotype.

Sign in / Sign up

Export Citation Format

Share Document