scholarly journals Diurnal Variations in Physical Performance: Are There Morning-to-Evening Differences in Elite Male Handball Players?

2018 ◽  
Vol 63 (1) ◽  
pp. 117-126 ◽  
Author(s):  
Ljubomir Pavlović ◽  
Nenad Stojiljković ◽  
Nikola Aksović ◽  
Emilija Stojanović ◽  
Zoran Valdevit ◽  
...  

Abstract The purposes of this study were to determine: 1) morning-to-evening differences in physical performance with and without a ball; and 2) associations between sleep outcomes (duration and quality) and physical performance in handball players. Sixteen elite, male handball players (25.4 ± 5.8 yr, 94.0 ± 7.4 kg, 193.5 ± 7.5 cm) completed physical performance tests without a ball (a zig-zag test assessing closed-skill agility, linear sprints, and countermovement (CMJ) and squat jumps) and with a ball (a zig-zag test and linear sprints) in the morning and evening. In addition, sleep quality and quantity during the night before testing were obtained using self-reported measures. Superior physical performance was evident in all tests during the evening compared to the morning hours (p < 0.003). Specifically, jump height was moderately (effect size (ES) = 0.73 to 1.02) higher during the evening. Similarly, moderate (ES = 1.17) and large (ES = 1.67) improvements in zig-zag test performance were apparent during the evening with and without the ball, respectively. Also, large to very large (ES = 1.29 to 2.09) increases in sprint performance with and without the ball were evident in the evening. No significant correlations (p > 0.05) were apparent between sleep duration and quality and physical performance in both the morning and evening sessions. Diurnal variations in physical performance were apparent in elite male handball players with enhanced performance with and without the ball in the evening compared to morning hours. These findings indicate that morning-to-evening differences in physical performance should be considered when developing conditioning plans or preparing for competition in handball.

2021 ◽  
Author(s):  
Jodie A Wills ◽  
David J Saxby ◽  
Daniel J Glassbrook ◽  
Timothy L A Doyle

ABSTRACT Introduction The purpose of this study was to identify and characterize sex-specific physical and psychophysical performance adaptations in response to a novel 10-week training program. Materials and Methods Fifteen males and thirteen females completed a standardized load carriage task (5 km at 5.5 km.h−1, wearing a 23 kg torso-borne vest) before and after 10 weeks of resistance and load carriage training. Psychophysical responses (i.e., heart rate and ratings of perceived exertion) were measured throughout the load carriage task. Physical performance (i.e., countermovement and squat jumps, push-ups, sit-ups, and beep test) was measured at before, mid-way, and after the training program (weeks 0, 6, and 11, respectively). Results Training elicited significant improvements in squat jump maximal force, push-ups, and beep test performance (P &lt; .05). Males outperformed females in all performance measures, with interactions (time, sex) for push-ups, sit-ups, and beep test performance. After training, aerobic capacity improved by 5.4% (42.9 mL· kg−1· min−1 to 45.2 mL· kg−1· min−1) in males but did not improve in females. Psychophysical responses decreased for both sexes (P &lt; .05) during the load carriage task post-training. Conclusion While 10 weeks of standardized training elicited positive adaptations in both physical and psychophysical performance, sex-specific differences were still evident. To lessen these differences, sex-specific training should be considered to optimize load carriage performance.


Author(s):  
Tayfun Şirin

The aim of this study is to investigate the effects of plyometric training with additional weight on physical performance and muscle damage findings in faculty of sports sciences athlete-students. Physical performance tests and blood samples of the athlete-students (male 23.41 ± 3.2 years old) were collected both from sample and the control groups at the first week of the study  and at the last training of the twelfth week. During the study, plyometric training programs were applied to the additional weight  group (AWG)  and no additional weight group (AG).  By the end of first and twelfth week, players’ BMI and body fat percentage tests were applied together with the physical tests of shuttle, yoyo, vertical jump, horizontal jump, agility and sprint performance tests. Blood samples were also taken to check muscle damage control markers (CK and LDH). Results: According to the results of tests performed at the end of first and twelfth weeks’ plyometric trainings on group with additional weight group (AWG), shuttle, yoyo and horizontal jumping were found to be significantly increased, while sprint performance, BMI and body fat performance tests were significantly decreased. The test results of the group without additional weight (AG) was; significant increase in shuttle, yoyo and vertical jump while significant decrease in sprint performance and fat %. By the end of twelve week plyometric trainings, no muscle damage has been observed in (AWG), CK pre-training (229,00 ± 155,25) and post training values (242,33 ± 193,67)  and LDH pre-training (169,75 ± 40,85) and post-training (174,33 ± 39,12) values.  As a result of the study, 12-week plyometric training with additional weight applied to football  athletes-students not only increased their physical performance, but also muscle damage (CK and LDH) was not observed.


2020 ◽  
Vol 60 (2) ◽  
pp. 182-193
Author(s):  
Kacem Abdelhadi ◽  
Houar Abdelatif ◽  
Zerf Mohamed ◽  
Bengoua Ali

SummaryThis study tests the impact of COVID-19 on sleep of Algerian population before and during the COVID-19 quarantine by an estimated online survey, adapted from the PSQI Italian version. Including 1210 participants (age between 18-60 years old). The statistical analysis was carried out using SPSS version 22.0 software. Our results showed a significant change in sleeping quality during quarantine, the sleep timing markedly changed, we also noticed additional use of sleeping medications. Algerian scientists recommend to build public awareness and to provide necessary information regarding Algerian sleep quality, especially for Algerian adults.


2021 ◽  
pp. 136749352110147
Author(s):  
Maria T Coutinho ◽  
Clara G Sears ◽  
Rebecca Noga ◽  
Elizabeth L McQuaid ◽  
Sheryl J Kopel ◽  
...  

Asthma symptoms impact children’s sleep quality. However, it is unclear how families’ daily management of their child’s asthma is associated with sleep quality. We examine associations between family asthma management components and sleep duration and quality for urban children (ages 7–9 years). Additionally, we examine these associations by racial/ethnic group. Data were collected as part of a longitudinal study that examined the co-occurrence of asthma, allergic rhinitis, sleep quality, and academic functioning for urban children diagnosed with persistent asthma ( N = 196). A semi-structured interview assessed family asthma management practices. Sleep quality data were collected via actigraphy. Our visual depiction of sleep outcomes show that those with higher family asthma management ratings present with longer sleep duration and better sleep quality. Among specific family asthma management components, we found a significant association between children’s adherence to asthma medications and number of nighttime awakenings. For non-Latino Black (NLB) children, we found a significant association between environmental control and sleep duration. For urban children with asthma, clinical strategies to enhance overall family asthma management have the potential to support improved sleep quality. Additionally, for NLB children, asthma management interventions that provide environmental control practices may increase sleep duration.


BMJ Open ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. e046015
Author(s):  
Hui Zhang ◽  
Xiaoyu Chen ◽  
Peipei Han ◽  
Weibo Ma ◽  
Yuanyuan Zhang ◽  
...  

ObjectiveThe purpose of this study is to investigate the mediating effect of physical performance on the relationship between night sleep duration and risk of cardiovascular disease (CVD) in elderly Chinese without CVD.Methods782 participants without CVD over 65 years (average: 70.82±3.86 years, 448 women) were included in this study. CVD risk was calculated by the Framingham Risk Score and participants were divided into four groups of night sleep duration (in hours): <7 hours, ≥7–8 hours, >8–9 hours and >9 hours. Upper extremity function was measured by grip strength and lower extremity function was measured by the Short Physical Performance Battery (SPPB), consisting of balance, 4 m walk and chair stands tests.ResultsAfter adjusting for covariates, long night sleep duration (>9 hours) and CVD risk were significantly positively associated compared with moderate night sleep duration (≥7–8 hours) (β=1.152; 95% CI 0.05 to 2.25). SPPB total score (indirect effect ab=−0.122; 95% CI −0.291 to –0.0008) rather than grip strength partially mediated the relationship between long night sleep duration and CVD risk, in which chair stands played a major mediating role (indirect effect ab=−0.171; 95% CI −0.040 to –0.0006), while balance (indirect effect ab=−0.016; 95% CI −0.100 to 0.063) and 4 m walk (indirect effect ab=0.048; 95% CI −0.066 to 0.201) did not.ConclusionsLower extremity function, especially lower limb muscle strength, partially mediates a positive association between long night sleep duration and CVD risk in the elderly without CVD. Suitable interventions for physical performance and sleep may minimise the risk of subsequent CVD.


SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A244-A244
Author(s):  
Clare Malhotra ◽  
Deepti Gunge ◽  
Ira Advani ◽  
Shreyes Boddu ◽  
Sedtavut Nilaad ◽  
...  

Abstract Introduction Recently, targeted marketing has encouraged teen e-cigarette vaping. Although e-cigarettes are often presented as a safe alternative to conventional tobacco, their toxicity is unclear. In adults, we have previously observed a link between dual usage of e-cigarettes and tobacco with increased sleep latency. We hypothesized an association between dual usage and increased sleep latency. Methods Participants were recruited to complete social media surveys. We performed three surveys: Survey 1 (n=47) in 2018, Survey 2 (n=1198) in 2019, and Survey 3 (n=564) in 2020. Surveys 1 and 2 had three sections: past and current inhalant use, the Pittsburgh Sleep Quality Index (PSQI), and the Leicester Cough Questionnaire (LCQ). Survey 3 did not include the LCQ, instead including the Hospital Anxiety and Depression Scale (HADS) and Patient Health Questionnaire (PHQ9). The adolescent data (aged 13–20 years; n=609) were isolated. Results Adolescents reported an increase in sleep duration with increasing age by one-way ANOVA. Males reported no change with increasing age, while, by Tukey’s multiple comparisons test, females got significantly more sleep at ages 19 and 20 than at age 14(p&lt;0.01). There was no significant correlation between inhalant use and sleep duration. When broken down by gender, female dual users slept more than female nonsmokers,(p=0.01; mean difference=43.8 minutes; CI=0.11 to 1.36), while there was no difference in males. We observed a significant association between inhalant use and sleep(p=0.0008), with dual use correlated with a longer sleep latency than nonsmokers (mean difference=6.27 minutes; CI=1.40 to 11.13. We saw no correlation between inhalant use and anxiety or depression, nor between inhalant use and cough severity and prevalence. Conclusion In female adolescents, we observed a peak in sleep hours at age 19 but significantly less sleep in fourteen-year olds. College-aged females may have a later wake time relative to middle-school and high-school aged females. Dual inhalant use in females was associated with a long sleep duration, raising concern for sleep disruption caused by dual use. Dual use’s association with increased sleep latency raises concern for nicotine-induced wakefulness. Further data are required in order to define public health strategies. Support (if any) LCA is supported by NIH.


SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A255-A255
Author(s):  
Dmytro Guzenko ◽  
Gary Garcia ◽  
Farzad Siyahjani ◽  
Kevin Monette ◽  
Susan DeFranco ◽  
...  

Abstract Introduction Pathophysiologic responses to viral respiratory challenges such as SARS-CoV-2 may affect sleep duration, quality and concomitant cardiorespiratory function. Unobtrusive and ecologically valid methods to monitor longitudinal sleep metrics may therefore have practical value for surveillance and monitoring of infectious illnesses. We leveraged sleep metrics from Sleep Number 360 smart bed users to build a COVID-19 predictive model. Methods An IRB approved survey was presented to opting-in users from August to November 2020. COVID-19 test results were reported by 2003/6878 respondents (116 positive; 1887 negative). From the positive group, data from 82 responders (44.7±11.3 yrs.) who reported the date of symptom onset were used. From the negative group, data from 1519 responders (48.4±12.9 yrs.) who reported testing dates were used. Sleep duration, sleep quality, restful sleep duration, time to fall asleep, respiration rate, heart rate, and motion level were obtained from ballistocardiography signals stored in the cloud. Data from January to October 2020 were considered. The predictive model consists of two levels: 1) the daily probability of staying healthy calculated by logistic regression and 2) a continuous density Hidden Markov Model to refine the daily prediction considering the past decision history. Results With respect to their baseline, significant increases in sleep duration, average breathing rate, average heart rate and decrease in sleep quality were associated with symptom exacerbation in COVID-19 positive respondents. In COVID-19 negative respondents, no significant sleep or cardiorespiratory metrics were observed. Evaluation of the predictive model resulted in cross-validated area under the receiving-operator curve (AUC) estimate of 0.84±0.09 which is similar to values reported for wearable-sensors. Considering additional days to confirm prediction improved the AUC estimate to 0.93±0.05. Conclusion The results obtained on the smart bed user population suggest that unobtrusive sleep metrics may offer rich information to predict and track the development of symptoms in individuals infected with COVID-19. Support (if any):


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