Baseline Sleep Characteristics in NCAA Division I Collegiate Athletes DOI
Joshua Goldman,

Brian Donohoe,

Nicolas Hatamiya

et al.

Clinical Journal of Sport Medicine, Journal Year: 2024, Volume and Issue: 34(4), P. 370 - 375

Published: Jan. 4, 2024

Objective: The authors report no conflicts of interest. To determine baseline sleep characteristics male/female student-athletes across multiple sports using objective and subjective measures. Design: Prospective study. Setting: Division I college. Participants: Eighty-two male female student-athletes. Interventions: Participants completed 2 validated questionnaires (Epworth Sleepiness Scale [ESS] Single-Item Sleep Quality [SISQS]) to assess sleep. They also wore a monitoring device (WHOOP 4.0 band) for at least 14 nights collect data on total time (TST) architecture. Main Outcome Measures: Overnight variables, including TST, spent awake in bed after falling asleep, light sleep, rapid eye movement (REM) slow-wave (SWS) cycles. quality daytime sleepiness were assessed. Results: There statistical differences between average architecture, consistency, SISQS, ESS scores. TST was 409.2 ± 36.3 minutes. architecture consisted 25.6% REM, 19.9% SWS, 54.4% consistency 61.6% 8.9%. SISQS score 6.48 1.71, the 7.57 3.82. A significant difference found wake males females (55.0 vs 43.7 min, P = 0.020), with an overall 50.2 16.2 Conclusions: College do not typically obtain recommended amount Optimizing can positively affect academic athletic performance.

Language: Английский

Sleep Tracking of a Commercially Available Smart Ring and Smartwatch Against Medical-Grade Actigraphy in Everyday Settings: Instrument Validation Study DOI Creative Commons
Milad Asgari Mehrabadi, Iman Azimi, Fatemeh Sarhaddi

et al.

JMIR mhealth and uhealth, Journal Year: 2020, Volume and Issue: 8(10), P. e20465 - e20465

Published: Sept. 23, 2020

Background Assessment of sleep quality is essential to address poor and understand changes. Owing the advances in Internet Things wearable technologies, monitoring under free-living conditions has become feasible practicable. Smart rings smartwatches can be employed perform mid- or long-term home-based monitoring. However, validity such wearables should investigated terms parameters. Sleep validation studies are mostly limited short-term laboratory tests; there a need for study assess attributes everyday settings, where users engage their daily routines. Objective This aims evaluate parameters Oura ring along with Samsung Gear Sport watch comparison medically approved actigraphy device midterm setting, Methods We conducted which 45 healthy individuals (23 women 22 men) were tracked 7 days. Total time (TST), efficiency (SE), wake after onset (WASO) assessed using paired t tests, Bland-Altman plots, Pearson correlation. The also considering gender participants as dependent variable. Results found significant correlations between ring’s actigraphy’s TST (r=0.86; P<.001), WASO (r=0.41; SE (r=0.47; P<.001). Comparing showed correlation (r=0.59; mean differences TST, WASO, within satisfactory ranges, although (P<.001); ranges watch, was slightly higher than range (31.27, SD 35.15). considerably those ring. difference (P<.001) female male groups. Conclusions In sample population adults, both have acceptable indicate actigraphy, but outperforms nonstaging

Language: Английский

Citations

129

To Nap or Not to Nap? A Systematic Review Evaluating Napping Behavior in Athletes and the Impact on Various Measures of Athletic Performance DOI Creative Commons
Michele Lastella, Shona L. Halson, Jacopo Antonino Vitale

et al.

Nature and Science of Sleep, Journal Year: 2021, Volume and Issue: Volume 13, P. 841 - 862

Published: June 1, 2021

Purpose: The objective of this systematic review was to 1) determine how studies evaluated napping behavior in athletes (frequency, duration, timing and measurement); 2) explore impacted physical performance, cognitive perceptual measures (eg, fatigue, muscle soreness, sleepiness alertness), psychological state night-time sleep athletes. Methods: Five bibliographic databases were searched from database inception 11 August 2020. Observational experimental comprising able-bodied (mean age ≥ 12 years), published English, peer-reviewed journal papers included. Downs Black Quality Assessment Checklist used for quality appraisal. Results: Thirty-seven identified moderate quality. Most did not include consistent information regarding nap frequency, timing. Napping may be beneficial a range outcomes that benefit measures, sleep). In addition, presents with the opportunity supplement their without compromising Conclusion: Athletes consider between 20 90 min duration 13:00 16:00 hours. Finally, should allow 30 reduce inertia prior training or competition obtain better performance outcomes. Future comprehensive recordings quality, using over 24 hour period (daytime naps period), specifically methods assessment polysomnography/actigraphy). Keywords: athlete, health behavior, health, sleep, sports

Language: Английский

Citations

76

Sex differences in sleep and influence of the menstrual cycle on women’s sleep in junior endurance athletes DOI Creative Commons
Maria Hrozanova, Christian A. Klöckner, Øyvind Sandbakk

et al.

PLoS ONE, Journal Year: 2021, Volume and Issue: 16(6), P. e0253376 - e0253376

Published: June 17, 2021

Previous research shows that female athletes sleep better according to objective parameters but report worse subjective quality than male athletes. However, existing studies did not investigate variations in and stages over longer periods have, so far, elucidated the role of menstrual cycle athletes’ sleep. To address these methodological shortcomings, we investigated sex differences 61 continuous days 37 men 19 women examined its phases 15 women. Sleep was measured by a non-contact radar, bleeding self-reported. Associations were with multilevel modeling. Overall, tended poorer ( p = .057), measurements showed obtained duration < .001), more light .013) rapid eye movement (REM; hours (h): .001, %: .007), shorter REM latency higher efficiency .003) men. R 2 values duration, especially affected sex. Among women, found time bed .027) deep (h: .036), (%: .021) during vs. non-bleeding days; less .040), .011) pre-menstrual phase; lower .042) .026) follicular luteal phase. These findings indicate may impact need for physiological recovery, as evidenced stage variations. Altogether, observed be related cycle. The paper provides unique data novel insights into among

Language: Английский

Citations

41

Sleep Patterns Fluctuate Following Training and Games across the Season in a Semi-Professional, Female Basketball Team DOI Creative Commons
Cody J. Power, Jordan L. Fox, Masaru Teramoto

et al.

Brain Sciences, Journal Year: 2023, Volume and Issue: 13(2), P. 238 - 238

Published: Jan. 31, 2023

Quantifying athlete sleep patterns may inform development of optimal training schedules and strategies, considering the competitive challenges faced across season. Therefore, this study comprehensively quantified a female basketball team examined variations in between nights. Seven semi-professional, players had their monitored using wrist-worn activity monitors perceptual ratings during 13-week in-season. Sleep variables were compared different nights (control nights, before games, non-congested game congested nights), generalized linear mixed models, as well Cohen’s d odds ratios effect sizes. Players experienced less on games to control (p < 0.05, = 0.43–0.69). also exhibited later onset times 0.01, 0.68), earlier offset following all other 0.74–0.79). Moreover, attaining better perceived quality was 88% lower than 0.001). While attained an adequate duration (7.3 ± 0.3 h) efficiency (85 2%) average in-season, they susceptible poor games. Although limited team-based case series design, these findings suggest coaches need reconsider scheduling team-based, on-court sessions prior consider implementing suitable psychological recovery strategies around optimize player sleep.

Language: Английский

Citations

16

Investigating sleep quality and sleep hygiene awareness among Chinese adults: an association and network analysis study DOI Open Access
Han Qi, Rui Liu,

Jia Zhou

et al.

Sleep And Breathing, Journal Year: 2023, Volume and Issue: 27(5), P. 2049 - 2058

Published: March 4, 2023

Language: Английский

Citations

13

Sleep Quality in Elite Athletes: Normative Values, Reliability and Understanding Contributors to Poor Sleep DOI
Shona L. Halson, Rich D. Johnston, R Newcomer

et al.

Sports Medicine, Journal Year: 2021, Volume and Issue: 52(2), P. 417 - 426

Published: Sept. 23, 2021

Language: Английский

Citations

26

The Effect of Sleep Quality and Quantity on Athlete's Health and Perceived Training Quality DOI Creative Commons
Michael J. Hamlin, Richard Deuchrass, Peter Olsen

et al.

Frontiers in Sports and Active Living, Journal Year: 2021, Volume and Issue: 3

Published: Sept. 10, 2021

University athletes are unique because they not only have to cope with the normal psycho-physiological stress of training and playing sport, but also need accommodate associated their academic studies along considerable from social environment. The ability manage adapt ultimately helps improve athletic performance, when becomes too much for athlete, it can result in maladaptation's including sleep disruption which is performance loss, negative mood changes, even injury or illness. This research aimed determine if quantity quality were maladaptation university athletes. We examined subjective measures duration state, energy levels, stress, quantity, frequency illness 82 young (18–23 years) elite over a 1 year period 2020. Results indicate decreased first few weeks coincided increased training, stress. Regression analysis indicated levels perceived (1.3, 1.1–1.5, Odds Ratio 95% confidence limits), (2.9, 2.5–3.3), (1.2, 1.0–1.4), 1.1–1.5), improved (1.1, 1.0–1.3) ≥8 h sleep. Athletes that slept had higher less likely suffer injury/illness (0.8, 0.7–0.9, 0.6, 0.5–0.7 quality, respectively). In conclusion, who maintain good habits (sleep h/night high scores) problems elevated levels. Educating athletes, coaches, trainers signs symptoms excessive (including deprivation) may help reduce athlete's outcomes.

Language: Английский

Citations

24

Waking Up to the Issue! Research Inattention and Sex-Related Differences Warrant More Sleep Studies in Female Athletes DOI
Cody J. Power, Jordan L. Fox, Kirsty J. Elliott‐Sale

et al.

Sports Medicine, Journal Year: 2023, Volume and Issue: 54(3), P. 565 - 583

Published: Nov. 21, 2023

Language: Английский

Citations

10

Sexual assault predicts gender-specific sleep problems in varsity student athletes DOI

Laura J. Hankins,

Sergey S. Berg, J. Roxanne Prichard

et al.

Journal of American College Health, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 10

Published: Jan. 10, 2025

Objective To determine the direct and indirect effects of sexual assault on sleep health in varsity athletes.

Language: Английский

Citations

0

Irregular sleep/wake patterns in student-athletes exposed to early morning training DOI Creative Commons
Sandy Wilson, Martin I. Jones, Stephen B. Draper

et al.

Journal of Sports Sciences, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 10

Published: Jan. 20, 2025

This study aimed to examine the sleep parameters and sleep/wake regularity of a cohort student-athletes who start training between 06:30 07:00. Twenty-one male Rugby Union players, aged 21 ± 2 years competing at national level, were assessed using actigraphy over two weeks, Athlete Sleep Screening Questionnaire (ASSQ). Sleep/wake was calculated Regularity Index (SRI). Wilcoxon signed-rank tests showed that nocturnal preceding morning had significantly shorter duration (1.8 hr, r = .67), advanced onset (0.9 .50) offset times (3.2 .85) compared free days. The variability demands resulted in an inconsistent pattern consecutive days, resulting median SRI score 67.0 (interquartile range: 17.0). Pearson correlations revealed lower associated with higher daily including naps (r -.62), delayed -.50) -.60), later chronotype ASSQ .52). These findings indicate early is factor contributing irregular patterns student-athletes, where feasible should be scheduled alternative time.

Language: Английский

Citations

0