scholarly journals INCREASED HOURS OF TRAINING PER WEEK IS ASSOCIATED WITH DECREASED SLEEP IN PEDIATRIC & ADOLESCENT ATHLETES

2019 ◽  
Vol 7 (3_suppl) ◽  
pp. 2325967119S0012 ◽  
Author(s):  
Matthew D. Milewski ◽  
Caitlin M. McCracken ◽  
Bill Meehan ◽  
Andrea Stracciolini

BACKGROUND Sleep duration and sport specialization have been shown to affect injury profile in young athletes. The interplay between training hours per week, and, multiple versus single sports participation on sleep hours in young athletes is unknown. Purpose/Objective To investigate associations between single sport participation and training volume, with sleep hours, in pediatric and adolescent athletes. METHODS Study design: Cross-sectional epidemiological study was conducted using electronic questionnaire data from an injury prevention evaluation (IPE) at a sports injury prevention center affiliated with a tertiary level pediatric medical center between April 2013 and February 2018. Data analysis included sports participation, previous injury history, training regimen, and sleeping habits. For each sport selected, athletes were asked about average number of practice hours for each sport and number of seasons training for the sport during the year. All athletes aged 11-18 years were included in the study. Main outcome measures include sleep duration, single sport, and training hours/seasons. Single sport athletes were defined as those athletes who listed participation in only one sport year-round. Binary measures were created to indicate 1)any participant that listed practicing > 10 hour/week for any sport during a season and 2) any participant that trains three or more seasons for any sport in which they participate. Multivariate regression models (M1, M2, M3) were created for soccer athletes to control for sport training differences while testing the independent effect of gender, age and sport training. Based on the results univariate linear regression of hours of sleep was stratified by age and gender and regressed by self-reported hours of practice per week, identification as single sport athlete, training three or more seasons for soccer. RESULTS There were 756 athletes, 11-18 years old, included (mean age 13.5±2.5 years; 56% female (N=426)). For female athletes, figure skating (46%, 11/24), dance (42%, 28/67), and gymnastics (25%, 12/47) lead the list for single sport athletes. In comparison, for male athletes, swimming (26%, 5/19), tennis (19%, 5/26) and soccer (13%, 16/120) lead the list. The overwhelming majority of gymnasts, dancers, and figure skaters (88% (38/43), 83% (54/66) and 83%, (20/24)) train = 3 seasons of the year. In comparison, for male athletes, tennis athletes (62%, 16/25) seem to train = 3 seasons of the year followed by soccer (41%, 49/119) and swimming (39%, 7/18). (Tables 1 and 2) Table 3 presents multivariate linear regression coefficient of weeknight hours slept by practice hours, gender, age and sport characteristics for soccer participants using three different models (M1, M2, M3). Younger athletes, ages 11-14 years, slept nearly an hour more than participants aged 15-18 years across all training types. Only female soccer athletes training = 3 seasons slept significantly less (ß -0.24, SE 0.12, 95%) than their male counterparts. Participants that practiced soccer > 10 hours/week slept significantly, and substantively, less than their peers practicing =3 or less hours/week (ß -0.61, SE 0.17, 95%). Table 4 presents all participants and sport type stratified by age and sex. Practicing more than 10 hours/week was significant in males ages 11-14 years. Middle school aged males, practicing > 10 hours/week for any sport in which they participate over the course of the year, slept over half an hour less than their peers that practiced fewer hours (ß -0.65, SE 0.2, 95%). CONCLUSIONS/SIGNIFICANCE Training volume appears to affect sleep in young athletes. Middle school male athletes practicing greater than 10 hours/week appear to sleep less than their peers. Anticipatory guidance surrounding training may help to improve sleep hygiene in pediatric and adolescent athletes. [Table: see text][Table: see text][Table: see text][Table: see text]

2015 ◽  
Vol 54 (1) ◽  
pp. 58-65 ◽  
Author(s):  
Suzana Pustivšek ◽  
Vedran Hadžić ◽  
Edvin Dervišević

Abstract Objective. Eating disorders (ED) are an important and increasing problem in adolescents. The objective of this study was to examine the risk factors and the prevalence of risk for ED among male adolescent elite athletes and nonathletic controls. Differences between male athletes competing in aerobic, anaerobic and aerobic-anaerobic sports were examined as well. Methods. This was a cross-sectional epidemiological study. A cross-sectional questionnaire survey and anthropometric measurements were conducted on 351 adolescents (athletes n = 228; controls n = 123). All participants were aged 15-17 at the time of measuring. Risk for ED was determined using a SCOFF questionnaire. Results. The overall prevalence of the risk for ED in male adolescents was 24.8%, with no significant differences among athletes and controls or different subgroups of athletes (p>0.05), although the highest prevalence (37.2%) was registered in aerobic subgroup of athletes. Higher number of attempts to lose weight was associated with increased risk of ED in each group (athletes and controls). Other predictors referred to lack of breakfast and body composition in aerobic subgroup of athletes and number of meals and training frequency in anaerobic subgroup. The most common reasons for dieting were improvement of sport results (19.6-44.2%) and better self-esteem (41.5%) in athletes and controls respectively. Conclusions. Participation in the competitive sport itself is not associated with the increased risk for ED. It seems that risk factors for ED for adolescent athletes competing in aerobic and anaerobic sports represent a subject that deserves consideration and further investigation in the future


2019 ◽  
Vol 7 (3_suppl) ◽  
pp. 2325967119S0008 ◽  
Author(s):  
Andrea Stracciolini ◽  
Caitlin M. McCracken ◽  
Matthew D. Milewski ◽  
Bill Meehan

Background: The importance of sleep in children, and the relationship to mental and physical health, is under recognized. The physical and emotional demands of sports participation may contribute positively and negatively to sleep quality and quantity. Aim: To investigate sleep duration, daytime sleepiness, and mental health in youth athletes. Hypotheses: 1. The majority of youth athletes will not meet the current age based recommendations for sleep duration. 2. Athletes not meeting the current sleep recommendation will have an increased prevalence of anxiety/depression, and have greater daytime sleepiness scores. Study Design: Cross-sectional study Methods: Questionnaire data were analyzed from an injury prevention evaluation (IPE) at a sports injury prevention center affiliated with a tertiary level pediatric medical center between April 2013 and February 2018. Reason for playing was coded into thematic categories. Fun related responses include: to have fun, to make friends, to be part of a team, enjoyment/love etc. Goal oriented reasons include: to win a championship, college or scholarship purposes, to compete to control my weight, to be strong etc. BMI was adjusted by age and sex using ranges recommended by the Center for Disease Control. Anxiety and or depression is measured by a clinician diagnoses but was self-reported by the participant. Homework was measured as total hours spent during weeknights and was measured by categories in three hour units; each category composed approximately 25% of participants. Main outcome measures included sleep duration, scores on daytime sleepiness scale, self-reported anxiety and, self-reported depression. Age, sex, BMI, reasons for playing sports (fun related versus goal oriented), hours of homework per week, and internet access were also analyzed. Results: 756 athletes, =18 years old (mean age 13.5±2.5 yrs.) were included; 56% (N=426) were female. Overall 39% (N= 296) of athletes were not getting the age recommended amount of sleep. Among athletes 6-12 years old, 26% were not meeting the sleep recommendation for age, compared to 45% of 13-18-year-old athletes (p<0.01). Female athletes (44% vs. 33%, p<0.01) and athletes with either depression and/or anxiety (62% vs. 37%, p<0.01) were less likely to meet sleep recommendations. Athletes also appeared less likely to meet the current sleep recommendation if they reported a prior sport-related injury (44% vs. 37%, p=0.05), goal-oriented reasons for playing sports (52% vs. 35%, p<0.01), night time internet access (51% vs. 28%, p<0.01), and as number of weeknight homework hours increase (0-3 hours (22%) compared to 11+ hours (64%); p<0.01). After adjusting for age, gender, injury history, nighttime internet access, and hours of homework per week, the odds of not meeting the recommended amount of sleep increased with age (OR=1.29, 95% CI, 1.2 -1.4, p<0.01). Athletes reporting past diagnoses of anxiety and/or depression had higher odds of not meeting the sleep recommendation (OR 1.92, CI 1.0 – 3.6, p<0.05) and increased daytime sleepiness (ß=2.83, 95% SE 0.7, p<0.01). Goal driven athletes had 1.63 the odds of not meeting the sleep recommendation (CI 1.1-2.4, p<0.05), but were not significantly different from their counterparts with regards to daytime sleepiness scale scores. When stratified by age group, the odds of not meeting the recommended amount of sleep increased among older athletes (OR=1.29, 95% CI, 1.2 -1.4, p<0.01). Middle-school athletes with a self reported history of anxiety and/or depression had a greater likelihood of not meeting the sleep recommendation (OR = 4.49,95% CI, 1.2 – 18.1, p<0.05) and also had higher daytime sleepiness scores (OR=3.19, 95% SE, 1.5, p<0.05). Only daytime sleepiness increased among high school aged athletes with anxiety/depression (ß=3.0, 95% SE, 0.8, p<0.01) Conclusions: Female athletes, those who play sports for goal-oriented reasons, and those with a history of anxiety/depression are at increased risk of not meeting current sleep recommendations. Among middle school aged athletes, self reported history of anxiety and or depression has an even larger impact on sleep.


2021 ◽  
pp. 778-788
Author(s):  
Christina Mishica ◽  
Heikki Kyröläinen ◽  
Esa Hynynen ◽  
Ari Nummela ◽  
Hans-Christer Holmberg ◽  
...  

The aims of the current study were to examine the relationships between heart rate variability (HRV), salivary cortisol, sleep duration and training in young athletes. Eight athletes (16 ± 1 years) were monitored for 7 weeks during training and competition seasons. Subjects were training for endurance-based winter sports (cross-country skiing and biathlon). Training was divided into two zones (K1, easy training and K2, hard training). Heart rate and blood lactate during submaximal running tests (SRT), as well as cortisol, sleep duration and nocturnal HRV (RMSSD), were determined every other week. HRV and cortisol levels were correlated throughout the 7-week period (r = -0.552, P = 0.01), with the strongest correlation during week 7 (r = -0.879, P = 0.01). The relative changes in K1 and HRV showed a positive correlation from weeks 1-3 (r = 0.863, P = 0.006) and a negative correlation during weeks 3-5 (r = -0.760, P = 0.029). The relative change in sleep during weeks 1-3 were negatively correlated with cortisol (r = -0.762, P = 0.028) and K2 (r = -0.762, P = 0.028). In conclusion, HRV appears to reflect the recovery of young athletes during high loads of physical and/or physiological stress. Cortisol levels also reflected this recovery, but significant change required a longer period than HRV, suggesting that cortisol may be less sensitive to stress than HRV. Moreover, our results indicated that during the competition season, recovery for young endurance athletes increased in duration and additional sleep may be beneficial.


2019 ◽  
Vol 7 (3) ◽  
pp. 33-40
Author(s):  
Firuza Zotova ◽  
Guzel Khamidullina

Purpose of the research is to study the coaches’ opinion about content and organization of the training process for young athletes in sport and wellness groups. Research methods and organization. We carried out the opinion poll among 42 coaches practicing judo, sambo, belt wrestling, “Kuresh” national wrestling, freestyle wrestling, wushu, taekwondo, boxing, karate, aikido, whose average pedagogical experience is about 13,3 years. The questionnaire included 13 questions and 39 sub-questions of closed, semi-closed and open type. Research results and discussion. The opinion poll revealed that special endurance is the most significant quality for children practicing wrestling (52,3%), other important qualities are agility (30,9%) and rapidity (28,5%), and the third one is strength (16,6%). According to the answers, the most suitable age for enrollment to sport and wellness groups is the age of 6. Major sport training techniques applicable for sport and recreational groups are general exercises (general physical training), outdoor games and primary wrestling types. The respondents consider dropout of newcomers during first months to be the consequence of a number of factors, such as other sport offers, the lack of methodical support (programs, methodical recommendations) for sport and wellness groups, and the gap between emotional background of classes and the age of participants. Conclusion. According to the opinion of coaches at youth sport schools, it is necessary to add new programs and methodical recommendations for sport and wellness groups to the educational and training process in order to conserve the contingent of participants. The program material should correspond to children aged 5-7.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ogochukwu J. Sokunbi ◽  
Christy A. N. Okoromah ◽  
Ekanem N. Ekure ◽  
Olajide A. Olawale ◽  
Wuraola S. Eke

Abstract Background Strategies to prevent sudden cardiac death (SCD) among young athletes have become topical worldwide and unrecognized cardiac pathology has been identified as a leading cause. Black ethnicity has been reported as an independent predictor of abnormal electrocardiography (ECG) findings among athletes and the frequency and significance of training-related ECG findings versus findings suggestive of an underlying pathology in the young African athletes is crucial. Methods This cross sectional study aimed to determine the prevalence and distribution of ECG patterns in young athletes and controls. A total of 360 participants (180 athletes and 180 controls) were recruited from six secondary schools in Lagos, Nigeria between November 2014 and July 2015. Evaluation included interviewer-administered questionnaires for relevant history, physical examination and resting 12 - lead ECG for each participant. Results Abnormal ECG patterns were found in 48.3% of athletes and 35.6% of controls. Training-related ECG findings occurred in 33.3% of athletes and 18.3% of controls. Athletes and controls had 7.7% prevalence of training un-related ECG patterns respectively. Left ventricular hypertrophy was the most common ECG finding among the athletes and male athletes had a higher prevalence of ECG abnormalities compared to females. Conclusion Adolescent athletes in Nigeria have a high prevalence of training-related ECG patterns and athletes and non-athletes alike have similar proportions of ECG findings suggestive of underlying structural heart disease. Cardiovascular evaluation including ECG should be performed for young athletes prior to competition at any level and should also be considered as part of pre-school entry assessment for all children.


2020 ◽  
pp. 1-6
Author(s):  
Tatyana Dzimbova

Introduction. Proper nutrition is crucial for child and adolescent athletes to maintain growth and development and to achieveoptimal results in sports. It is very important to balance the energy expenditure with the energy intake in order to prevent the energy deficit or excess.Materials and methods. Subjects involved in two different sports participated in the study: 13 gymnasts (age 13.8 ± 4.1 years, height 153.4 ± 11.3 cm, weight 47.1 ± 10.5 kg) and 15 basketball players (age 15.5 ± 1.1 years, height 176.7 ± 7.9 cm, weight 65.2 ± 10.7 kg). Determination of total energy expenditure was made by prediction equations. The subjects maintained a food records for 5 consecutive days, which were processed in the ASA24 system of the NCI. Results and discussion. Energy intake in both groups is sufficient to meet the daily needs, development of young athletes andprovide the energy needed in training. The intake of three minerals (calcium, magnesium and potassium) and three vitamins (D, E and A) was lower than recommended values in both groups.Conclusion. As a result of the busy schedule of adolescent athletes, their main meals are out of home, and the proportion of highly processed foods containing small amounts of important vitamins and minerals is high. The main recommendations include dairy products, fruits, vegetables and whole grains. The idea behind the changes is to give young athletes the right diet and the right eating habits.


2019 ◽  
Author(s):  
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This best-selling resource guides health care professionals through the preparticipation physical evaluation PPE process in the medical home for young athletes from middle school through college.


2017 ◽  
Vol 5 (1) ◽  
Author(s):  
Abdul-Rahman Hassan ◽  
Michael Huen Sum Lam ◽  
Susanna Ku ◽  
William Ho Cheung Li ◽  
Ka Yiu Lee ◽  
...  

Dropout of sport is an issue in sport and public health domains. The aim of this study was to identify the potential dropout reasons of school athletes and to examine if their perception of dropout was affected by the previous dropout experience. There were 50 subjects who were divided into two groups based on their previous dropout experience (Dropout Group=22, No Dropout Group=28). They filled a questionnaire about potential dropout reasons of the current sport. Coach and teammates were two predominated reasons of dropout; Influence of parent and training seemed to affect the termination of the sport to a lesser extent. Moreover, the perception of social value and lost focus were significantly different between two groups. Character of coach and teammates affect the engagement of training in school athletes. However, the parental influence had less influence than expected. Training intensity played little role as the dropout reason. Previous experience of dropout had an impact of potential dropout reasons on their current sport training.


Author(s):  
Jeremy McAdam ◽  
Kaitlin McGinnis ◽  
Rian Ory ◽  
Kaelin Young ◽  
Andrew D. Frugé ◽  
...  

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