Recent studies about sleep deprivation on teen athletes


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Factors Affecting Sleep Quality among Adolescent Athletes




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Invitations were sent to secondary school principals to get permission to conduct the study at their schools. Pilot test was adopted. Questionnaires were distributed to secondary school sports teams, including basketball, football, volleyball, and handball team members by student helpers through convenience sampling. The questionnaires were collected after three weeks. Assessments A One-way ANCOVA model was designed to analyze the relationships among sleep quality and five factors consume of caffeine or alcohol, extreme mood, sleeping environment, anxiety due to academic, and anxiety due to sports and multiple regression analysis was adopted to predict the sleep quality through the coefficient of those variables.

A multiple regression analysis was used to precited the sleep quality through the coefficient of the variables. Any responses that indicated a range of times were averaged for ease of analysis e. Also, multiple regression analysis was adopted to predict the sleep quality through the coefficient of those variables. Global PSQI score, mean, standard error was also used as descriptive analysis [ 59 ]. Results A total of participants involved in this study, including 53 males and 59 females. Respondents were aged years old.

The average sleeping duration was 6. Average fell asleep time was at The average sleeping latency is Within that yeen, The mean of global PSQI score was 5. The higher the scores represented the selep the sleep quality. Results have shown that about None of them required to have medication to assist in sleeping in the past month. A multiple regression analysis was used to predict the sleep quality through the coefficient of the variables. Discussion These heen provide useful information about the association between sleep quality and sports performance aabout adolescent recreation team zleep athletes in Hong Kong.

Factors that influence sleep quality are also evaluated. Factors such as consume of contain caffeine or alcohol, sleeping environment, and stufies and anxiety affect sleep Rwcent most significantly [ 7tahletes31 ]. Sleeping problems is getting more severe in Hong Kong [ 45 ], especially for student-athletes in secondary schools as they have heavy burdens in both academic and sports and cannot get a balance between the two. School-aged children and adolescents require having about 10 h of sleeping every night for healthy body development [ 3 ]. However, respondents of this study are suffering from insufficient sleep with average sleep duration of 6. Mean PSQI score of sleep quality is around 5 globally.

The higher score, the worser the sleep quality. Mean score of respondents in this study was 5. People without sleeping disorder can fall asleep in 10 to 20 min [ 12 ] and in average, respondents could sleep around 14 min after they were in bed. It indicated that respondents in this study did not have problems in delayed sleep onset. Consume of caffeine or alcohol before going to bed would affect sleep quality, which would lead to decrease in sleep latency, and longer sleep onset latency [ 232 ] as caffeine or alcohol would shorten REM sleep deep sleep and prolong non-REM light sleep and directly impact the sleep quality. Mood can strongly affect sleeping and it was found in previous studies that poor sleep quality was associated with significantly higher self-reported negative moods [ 21 ].

Sleep-deprived individuals suffered from extreme mood before sleep also reported that they consistently experiencing depression, stress, anxiety, worries, frustration, irritability, and having lower confidence [ 7 ]. In this study, respondents experienced extreme mood such as shock and depression before sleeping, did affect the sleep quality and it also caused sleeping disturbance and insomnia.

Results have guessed that about Boundaries of appellate in exercises are well known [ 36 - 51 ]. Patience 05, ; Forgot Password:.

However, the prediction of experiencing extreme mood before sleeping was low, which indicated that sleep quality was not affected by this factor. Sleeping can be directly affected by the surrounding, and lighting, noise, room temperature are the main influences that disturbed sleep [ 2930 ]. In this study, poor sleeping environment has significant acute impacts on sleep quality. The prediction of poor sleeping environment to make sleep quality worser was significantly high which indicated person sleeping in poor environment was more likely to suffer from distressing sleep quality. Some main reasons for poor sleep quality of university students were found to be bad academic results, doing assignments after 8 pm at night, and high academic stress [ 61 ].

In the study conducted by Bompa and Haff [ 22 ] also found that pressure from family commitments, training, social life, and catch up with demand of academic studies could affect sleep quality. However, these aspects were unable to predict influences in sleep quality in this study. Sleep hygiene is a term used to describe a collection of behaviors related to the promotion of good sleep [ 18 ], yet has always been ignored. In a study [ 60 ], it was indicated that student-athletes of team sports had high median scores in global sleep quality due to anxiety in sports. Worry and anxiety were also major contributors to pre-sleeping cognitive arousal that interfered sleeping [ 23 ].

Compare to anxiety due to academic, anxiety due to sports appeared to be more influential but this factor did not have significant prediction to sleep quality. There are several limitations in this study. This study focused on students of two secondary schools in Hong Kong, which limits the generalization of results. Findings may be limited due to self-reporting and respondents may potentially susceptible to pressure and bias. It is important to include objective measurements [ 62 - 67 ]. Sleep monitor machine would help measuring the sleep quality to increase reliability and accuracy of the preliminary findings and add further insight into the sleeping patterns among student-athletes of secondary schools.

Statistical analyses were not sophisticated [ 6869 ] which may limit the findings [ 70 ]. Conclusions The preliminary findings provide evidence that majority of studentathletes in secondary schools who suffered from inadequate sleep due to dreadful sleeping qualities and lead to worst impacts to training and competitions performance.

Rexent The analysis indicated major effects on sleep quality and this study provided a foundation and understanding towards sleep hygiene and habits. It is recommended that sudies and athletes to be educated that sleeping can influence their academic and sports performance. Sleep ceprivation can also tewn promoted to enrich their knowledge of having better sleeping patterns. More than two unexplained missed form completions resulted in disqualification from the study. The crossover condition and assessment were undertaken within 3—12 days of one another. Testing occurred between The outcome was to measure the change, if any, which occurred between the cognitive and physical performance of participants undergoing sleep deprivation.

Before testing began, height and weight were recorded and participants were asked to fill out a fitness questionnaire. The results of this questionnaire and participant sex were used to estimate the appropriate Monark Ergomedic e resistance for each participant, male: All participants were provided with standardized descriptions of tests and given the opportunity to habituate with procedures. It involved repeating a random sequence of colors and sounds. As each level progressed, another random color-sound combination was added to the previous sequence. This test was repeated three times. Standard stroop charts were used: Four versions of each test were created, so that no participant used the same chart twice.

Deprivation on Recent about athletes sleep studies teen

Time taken to complete each chart and the number of mistakes were recorded providing a measure of selective attention, automatic responses, inhibition, and control of executive functions [ 20 — 22 ]. Physical function tests Participants performed two concordant volume-time spirometry traces, in adherence to standard guidelines [ 23 ]. Even more striking is the data in Figure 1 below showing 4x more injuries in players reporting 6 hours of sleep per night compared to those getting 9 hours of sleep… ouch! Effects of sports-specific training intensity on sleep patterns and psychomotor performance in adolescent athletes. Pediatr Exercise Sci in press. Many believe high-level athletes are immune to the effects of sleep loss as they seemingly perform well.

However, while their achievements may be superior to others, there is evidence they are not performing at their peak. This study used actigraphy a fancy, more accurate FitBit to evaluate the weekday and weekend sleep patterns of high-level adolescent athletes. Reaction times on Monday, after students were well rested over the weekend were faster than on Thursday or Friday, when students were in a state of sleep debt. Accommodating adolescent sleep-wake patterns:


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