Sleep is a basic requirement for human health and, given its restorative qualities, is recognized as an important component of an athlete’s recovery. 1 Although both the quantity and the quality of sleep are important, sleep quality remains an area lacking research focus when evaluating recovery
Andressa Silva, Fernanda V. Narciso, Igor Soalheiro, Fernanda Viegas, Luísa S.N. Freitas, Adriano Lima, Bruno A. Leite, Haroldo C. Aleixo, Rob Duffield and Marco T. de Mello
Natashia Swalve, Brianna Harfmann, John Mitrzyk and Alexander H. K. Montoye
and overall sleep quality, has traditionally been measured using polysomnography, which is considered a gold standard measure of sleep ( Marcus et al., 2002 ). However, there are a number of issues with polysomnography, including expense, inaccessibility to researchers, and its use in an artificial
Vera Ramos, Eliana V. Carraça, Teresa Paiva and Fátima Baptista
Sleep quality (SQ) is crucial for maintaining the homeostasis of the human body. Regulation of temperature, metabolism, and immunity of the internal environment, but also the development, maturation, and plasticity of the brain, memory formation, and consolidation, are examples of processes
Anis Kamoun, Omar Hammouda, Abdelmoneem Yahia, Oussema Dhari, Houcem Ksentini, Tarak Driss, Nizar Souissi and Mohamed Habib Elleuch
, Gaffuri, Penno, & Tavoni, 2010 ). As stability decreases with aging, several studies have shown that fall prevention is an effective strategy to care expenses ( Tiedemann, Shimada, Sherrington, Murray, & Lord, 2008 ). It has also been established that postural control depends on sleep quality ( Smith
Jacopo A. Vitale, Giuseppe Banfi, Andrea Galbiati, Luigi Ferini-Strambi and Antonio La Torre
-sport athletes and, consequently, sleep complaints may occur. 6 – 8 Similarly, a reduction in sleep quality and duration prior to competition has been documented in individual athletes, too. 9 Nonetheless, to the best of our knowledge, no data on volleyball players’ sleep in relation to official competitions
Glenn S. Brassington and Robert A. Hicks
The purpose of this study was to explore the relationships between aerobic exercise, sleep quality, and daytime sleepiness by examining variables that may be associated with exercise in improving sleep (i.e., anxiety, depression, stress, and minor physical symptoms). Specifically, 33 sedentary and 46 exercising men and women (mean age 73, range 60–82) were asked to complete questionnaires on sleep, anxiety, depression, stress, and minor physical symptoms. Next, subjects were asked to complete a 14-day sleep log. The groups did not differ on a number of control variables: age, gender, trait sociability, trait shyness, number of social contacts, and body mass. Analyses revealed that the exercise group had greater sleep quality in the form of greater sleep duration, less sleep onset latency, and less daytime dysfunction. It was also found that exercise seems to be related to sleep quality and daytime naps independent of the psychological variables; however, exercise seems to be related to the other parameters of sleep by mediating the salience of the psychological variables.
Iuliana Hartescu, Kevin Morgan and Clare D. Stevinson
A minimum level of activity likely to improve sleep outcomes among older people has not previously been explored. In a representative UK sample aged 65+ (n = 926), cross-sectional regressions controlling for appropriate confounders showed that walking at or above the internationally recommended threshold of ≥ 150 min per week was significantly associated with a lower likelihood of reporting insomnia symptoms (OR = 0.67, 95% CI = 0.45−0.91, p < .05). At a 4-year follow-up (n = 577), higher walking levels at baseline significantly predicted a lower likelihood of reporting sleep onset (OR = 0.64, 95% CI = 0.42−0.97, p < .05) or sleep maintenance (OR = 0.63, 95% CI = 0.41−0.95, p < .05) problems. These results are consistent with the conclusion that current physical activity guidelines can support sleep quality in older adults.
Nathan W. Pitchford, Sam J. Robertson, Charli Sargent, Justin Cordy, David J. Bishop and Jonathan D. Bartlett
To assess the effects of a change in training environment on the sleep characteristics of elite Australian Rules football (AF) players.
In an observational crossover trial, 19 elite AF players had time in bed (TIB), total sleep time (TST), sleep efficiency (SE), and wake after sleep onset (WASO) assessed using wristwatch activity devices and subjective sleep diaries across 8-d home and camp periods. Repeated-measures ANOVA determined mean differences in sleep, training load (session rating of perceived exertion [RPE]), and environment. Pearson product–moment correlations, controlling for repeated observations on individuals, were used to assess the relationship between changes in sleep characteristics at home and camp. Cohen effect sizes (d) were calculated using individual means.
On camp TIB (+34 min) and WASO (+26 min) increased compared with home. However, TST was similar between home and camp, significantly reducing camp SE (–5.82%). Individually, there were strong negative correlations for TIB and WASO (r = -.75 and r = -.72, respectively) and a moderate negative correlation for SE (r = -.46) between home and relative changes on camp. Camp increased the relationship between individual s-RPE variation and TST variation compared with home (increased load r = -.367 vs .051, reduced load r = .319 vs –.033, camp vs home respectively).
Camp compromised sleep quality due to significantly increased TIB without increased TST. Individually, AF players with higher home SE experienced greater reductions in SE on camp. Together, this emphasizes the importance of individualized interventions for elite team-sport athletes when traveling and/or changing environments.
Raymonde E. Jean, Manideep Duttuluri, Charlisa D. Gibson, Sadaf Mir, Katherine Fuhrmann, Edward Eden and Azhar Supariwala
Exercise improves sleep quality, yet people with untreated obstructive sleep apnea (OSA) may engage in less physical activity (PA) due to fatigue and daytime sleepiness. We examined changes in PA and sleep quality before and after treatment with continuous positive airway pressure (CPAP) in OSA patients.
In this prospective longitudinal study, persons with a primary diagnosis of OSA were enrolled at a community-based hospital in New York City. At 3 time intervals pre- and post-CPAP (3–8 months), we measured sleep quality using validated questionnaires, perceived PA using the International Physical Activity Questionnaire (IPAQ), and actual PA using pedometer steps per day. We sought to investigate how CPAP use and changes in sleep quality impacted the number of steps taken, as recorded in pedometer steps.
In total, 62 patients were enrolled in the study from March 2012 to July 2014. In all, patients averaged 53 years of age, and 26 patients (42%) were female. Among all participants, 86% of persons had moderate to severe sleep apnea (AHI ≥15). Approximately 73% of participants were compliant with CPAP use. Poor sleep quality correlated with lower actual PA (P = .004) at baseline. At 3 and 7 months, there was significant improvement in sleep quality (Δ –2.63 ± 3.4 and Δ –3.5 ± 3.8; P < .001) and actual PA (Δ 840 ± 1313 and Δ 1431 ± 1419 steps/day, P < .001) compared with baseline. On multivariate analyses, participants with a higher waist circumference had a significantly greater increase in actual PA (P = .018).
Treatment of OSA with CPAP had a progressive incremental improvement in sleep quality and actual PA.
Alessandra Madia Mantovani, Scott Duncan, Jamile Sanches Codogno, Manoel Carlos Spiguel Lima and Rômulo Araújo Fernandes
Physical activity level is an important tool to identify individuals predisposed to developing chronic diseases, which represent a major concern worldwide.
To identify correlates of daily step counts measured using pedometers, as well as analyze the associations between health outcomes and 3 different amounts of daily physical activity.
The sample comprised 278 participants (126 men and 153 women) with a mean age of 46.51 ± 9.02 years. Physical activity was assessed using pedometers for 7 consecutive days, and 3 amounts of daily physical activity were considered: ≥10,000 steps/day, ≥7500 steps/day, and <5000 steps/day. Sleep quality was assessed through a questionnaire, and dual-energy x-ray absorptiometry was used to measure body fat. Sociodemographic and anthropometric data were also collected.
The percentages of adults achieving at least 10,000 and 7500 steps/day on a minimum of 5 days of the evaluated week were 12.9% and 30.9%, respectively. Adults who reached ≥7500 steps/day had a lower likelihood of being obese (odds ratio [OR] = 0.38, 95% confidence interval [CI], 0.17–0.85) and reporting worse sleep quality (OR = 0.58, 95% CI, 0.34–0.99). Adults who reached <5000 steps/day had a higher likelihood of reporting worse sleep quality (OR = 2.11, 95% CI, 1.17–3.82).
Physical activity in adulthood, as measured by pedometer, constituted a behavior related to lower adiposity and better sleep quality.