scholarly journals Sleep quality and psychobiological aspects of Brazilian Paralympic athletes in the London 2012 pre-Paralympics period

2015 ◽  
Vol 21 (2) ◽  
pp. 168-176 ◽  
Author(s):  
Dayane Ferreira Rodrigues ◽  
Andressa Silva ◽  
João Paulo Pereira Rosa ◽  
Francieli Silva Ruiz ◽  
Amaury Wagner Veríssimo ◽  
...  

The objective of the study was to evaluate the psychobiological aspects of the Paralympic athletes athletics mode, before the London Paralympic Games 2012. We evaluated 40 athletes without 31 men and 9 women who were selected by the Brazilian Paralympic Committee to be part of the Brazilian delegation. For the evaluation of psychobiological aspects used questionnaires: Trait Anxiety Inventory-State, POMS, the Beck Depression questionnaire Pittsburgh Epworth Scale to assess, respectively, anxiety, mood, depression, sleep and sleepiness. For trait anxiety and state anxiety, athletes exhibited a mean level of anxiety in relation to the profile of mood states and higher intensity values than any other dimensions. The lower total sleep time was in athletes with bad sleep, sleep deficiency was lower in athletes with poor sleep and total sleep time was lower for those who had efficiency < 85%. All psychobiological variables evaluated in pre-competition period were normal for the athletes of the Brazilian Paralympic athletics team that took part in the London 2012 Paralympic Games.

SLEEP ◽  
2020 ◽  
Author(s):  
Andrea L Harris ◽  
Nicole E Carmona ◽  
Taryn G Moss ◽  
Colleen E Carney

Abstract Study Objectives There is mixed evidence for the relationship between poor sleep and daytime fatigue, and some have suggested that fatigue is simply caused by lack of sleep. Although retrospective measures of insomnia and fatigue tend to correlate, other studies fail to demonstrate a link between objectively disturbed sleep and fatigue. The current study prospectively explored the relationship between sleep and fatigue among those with and without insomnia disorder. Methods Participants meeting Research Diagnostic Criteria for insomnia disorder (n = 33) or normal sleepers (n = 32) completed the Consensus Sleep Diary (CSD) and daily fatigue ratings for 2 weeks. Baseline questionnaires evaluated cognitive factors including unhelpful beliefs about sleep and rumination about fatigue. Hierarchical linear modeling tested the within- and between-participant relationships between sleep quality, total sleep time, and daily fatigue ratings. Mediation analyses tested if cognitive factors mediated the relationship between insomnia and fatigue. Results Self-reported nightly sleep quality significantly predicted subsequent daily fatigue ratings. Total sleep time was a significant predictor of fatigue within, but not between, participants. Unhelpful sleep beliefs and rumination about fatigue mediated the relationship between insomnia and fatigue reporting. Conclusions The results suggest that perception of sleep plays an important role in predicting reports of daytime fatigue. These findings could be used in treatment to help shift the focus away from total sleep times, and instead, focus on challenging maladaptive sleep-related cognitions to change fatigue perception.


SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A255-A255
Author(s):  
Priya Borker ◽  
Bernard Macatangay ◽  
Naresh Punjabi ◽  
Charles Rinaldo ◽  
Steven Wolinsky ◽  
...  

Abstract Introduction Low CD4+ T lymphocyte counts and CD4+/CD8+ lymphocyte ratios predict mortality and cardiovascular risk among people living with HIV (PLWH). Whether polysomnographic (PSG) sleep measures impact T lymphocyte subset counts among PLWH is unknown. We sought to evaluate the association between lymphocyte subsets and PSG-derived sleep measures in a cohort with HIV seropositive men. Methods We analyzed data from HIV seropositive men who have sex with men participating in the Multicenter AIDS Cohort Study on antiretroviral therapy for &gt;1 year with undetectable (&lt;500 copies/mL) plasma HIV-1 RNA who underwent a sleep evaluation with home polysomnography. The following seven sleep parameters were examined: total sleep time (TST), sleep efficiency, sleep stage (N1, N2, N3, and REM) duration, and apnea-hypopnea index. Multivariable linear regression models adjusted for age and body mass index were used to assess whether sleep measures were associated with CD4+ T cell count, CD8+ T cell count, or CD4+/CD8+ ratio. Results Participants (n= 286) had a mean age of 55.2 ± 11.3 years, 52.8% had sleep apnea and mean CD4+ count was 728 ± 306 cells/mm3. None of the sleep measures were associated with CD4+ counts but longer TST and REM duration were associated with lower CD8+ counts and higher CD4+/CD8+ ratio. In adjusted analyses, every one hour increase in TST was associated with a 35 ± 18 cells/mm3 lower CD8+ count (p=0.049) and 6.3% elevation in CD4+/CD8+ ratio (p=0.006) while every hour increase in REM was associated with 123 ± 50 cells/mm3 lower CD8+ count (p=0.01) and 20% elevation in CD4+/CD8+ ratio (p=0.003). Conclusion In PLWH, longer total sleep time and REM sleep duration are associated with protective CD4+/CD8+ ratios due to lower CD8+ cell count. Further research is needed to assess if longer sleep duration is associated with decreased inflammatory markers. Support (if any) American Thoracic Society Academic Sleep Pulmonary Integrated Research/Clinical (ASPIRE) Fellowship


2021 ◽  
Author(s):  
Andrea L. Harris

There is currently mixed evidence for the relationship between poor sleep and daytime fatigue. It is well documented that retrospective measures of insomnia and fatigue are highly correlated with one another. However, other studies fail to demonstrate a link between objectively less sleep and fatigue; that is, individuals with shorter sleep times do not necessarily report increased fatigue. As such, the relationship between these two constructs remains unclear. The current investigation will help to elucidate the complex relationship between sleep and fatigue among those with and without insomnia by advancing the existing literature in two important ways. First, this study proposed to examine the temporal relationship between sleep and fatigue across two weeks, thereby investigating whether sleep and fatigue occur in accordance with one anotherover time. Second, this study utilized a multi-method approach by collecting subjective (i.e.,sleep diary) and objective (i.e., actigraphy) measures of sleep, as well as retrospective (i.e.,visual analogue scales: VAS) and prospective (i.e., momentary ratings) measures of fatigue. Two separate hierarchical linear models were used to test whether sleep (measured by sleep quality and total sleep time) predicted daytime fatigue on the VAS and actigraph, respectively. The secondary objective asked whether cognitive-behavioural variables (i.e., maladaptive sleep beliefs, fear and avoidance of fatigue, and fatigue-based rumination) may help account for the relationship between sleep and fatigue using mediation. The results of the primary analyses suggested that sleep quality significantly predicted VAS fatigue ratings, whereas total sleep time was a significant predictor of fatigue within- but not between-persons. No significant relationships were found between objective measures of sleep and momentary fatigue ratings. Finally, each of the cognitive-behavioural variables, with the exception of avoidance of fatigue, were significant mediators of the relationship between sleep and fatigue. The results demonstrated that compared to sleep quantity, our perception of sleep may play a more important role in predicting reports of daytime fatigue. These findings could help decrease the burden that individuals with insomnia place on their total sleep times, and instead, treatment could focus on challenging maladaptive sleep-related cognitions, which ultimately could lessen the overall sleep-related anxiety.


2021 ◽  
Vol 15 ◽  
Author(s):  
Eva S. van den Ende ◽  
Kim D. I. van Veldhuizen ◽  
Belle Toussaint ◽  
Hanneke Merten ◽  
Peter M. van de Ven ◽  
...  

Objectives: Sleeping disorders are a common complaint in patients who suffer from an acute COVID-19 infection. Nonetheless, little is known about the severity of sleep disturbances in hospitalized COVID-19 patients, and whether these are caused by disease related symptoms, hospitalization, or the SARS-CoV-2 virus itself. Therefore, the aim of this study was to compare the quality and quantity of sleep in hospitalized patients with and without COVID-19, and to determine the main reasons for sleep disruption.Methods: This was an observational comparative study conducted between October 1, 2020 and February 1, 2021 at the pulmonary ward of an academic hospital in the Netherlands. This ward contained both COVID-19-positive and -negative tested patients. The sleep quality was assessed using the PROMIS-Sleep Disturbance Short Form and sleep quantity using the Consensus Sleep Diary. Patient-reported sleep disturbing factors were summarized.Results: A total of 79 COVID-19 patients (mean age 63.0, male 59.5%) and 50 non-COVID-19 patients (mean age 59.5, male 54.0%) participated in this study. A significantly larger proportion of patients with COVID-19 reported not to have slept at all (19% vs. 4% of non-COVID-19 patients, p = 0.011). The Sleep quality (PROMIS total score) and quantity (Total Sleep Time) did not significantly differ between both groups ((median PROMIS total score COVID-19; 26 [IQR 17-35], non-COVID-19; 23 [IQR 18-29], p = 0.104), (Mean Total Sleep Time COVID-19; 5 h 5 min, non-COVID-19 mean; 5 h 32 min, p = 0.405)). The most frequently reported disturbing factors by COVID-19 patients were; ‘dyspnea’, ‘concerns about the disease’, ‘anxiety’ and ‘noises of other patients, medical staff and medical devices’.Conclusion: This study showed that both patients with and without an acute COVID-19 infection experienced poor quality and quantity of sleep at the hospital. Although the mean scores did not significantly differ between groups, total sleep deprivation was reported five times more often by COVID-19 patients. With one in five COVID-19 patients reporting a complete absence of night sleep, poor sleep seems to be a serious problem. Sleep improving interventions should focus on physical and psychological comfort and noise reduction in the hospital environment.


2017 ◽  
Vol 52 (1) ◽  
pp. 24-31 ◽  
Author(s):  
Wayne Derman ◽  
Phoebe Runciman ◽  
Martin Schwellnus ◽  
Esme Jordaan ◽  
Cheri Blauwet ◽  
...  

ObjectivesTo describe the incidence of injury in the precompetition and competition periods of the Rio 2016 Summer Paralympic Games.MethodsA total of 3657 athletes from 78 countries, representing 83.4% of all athletes at the Games, were monitored on the web-based injury and illness surveillance system over 51 198 athlete days during the Rio 2016 Summer Paralympic Games. Injury data were obtained daily from teams with their own medical support.ResultsA total of 510 injuries were reported during the 14-day Games period, with an injury incidence rate (IR) of 10.0 injuries per 1000 athlete days (12.1% of all athletes surveyed). The highest IRs were reported for football 5-a-side (22.5), judo (15.5) and football 7-a-side (15.3) compared with other sports (p<0.05). Precompetition injuries were significantly higher than in the competition period (risk ratio: 1.40, p<0.05), and acute traumatic injuries were the most common injuries at the Games (IR of 5.5). The shoulder was the most common anatomical area affected by injury (IR of 1.8).ConclusionThe data from this study indicate that (1) IRs were lower than those reported for the London 2012 Summer Paralympic Games, (2) the sports of football 5-a-side, judo and football 7-a-side were independent risk factors for injury, (3) precompetition injuries had a higher IR than competition period injuries, (4) injuries to the shoulder were the most common. These results would allow for comparative data to be collected at future editions of the Games and can be used to inform injury prevention programmes.


SLEEP ◽  
2019 ◽  
Vol 43 (4) ◽  
Author(s):  
Jayne Trickett ◽  
Chris Oliver ◽  
Mary Heald ◽  
Hayley Denyer ◽  
Andrew Surtees ◽  
...  

Abstract Study Objectives The objectives of the study were (1) to compare both actigraphy and questionnaire-assessed sleep quality and timing in children with Smith–Magenis syndrome (SMS) to a chronologically age-matched typically developing (TD) group and (2) to explore associations between age, nocturnal and diurnal sleep quality, and daytime behavior. Methods Seven nights of actigraphy data were collected from 20 children with SMS (mean age 8.70; SD 2.70) and 20 TD children. Daily parent/teacher ratings of behavior and sleepiness were obtained. Mixed linear modeling was used to explore associations between total sleep time and daytime naps and behavior. Results Sleep in children with SMS was characterized by shorter total sleep time (TST), extended night waking, shorter sleep onset, more daytime naps, and earlier morning waking compared to the TD group. Considerable inter-daily and inter-individual variability in sleep quality was found in the SMS group, so caution in generalizing results is required. An expected inverse association between age and TST was found in the TD group, but no significant association was found for the SMS group. No between-group differences in sleep hygiene practices were identified. A bidirectional negative association between TST and nap duration was found for the SMS group. In the SMS group, increased afternoon sleepiness was associated with increased irritability (p = .007) and overactivity (p = .005). Conclusion These findings evidence poor sleep quality in SMS and the need to implement evidence-based interventions in this population.


SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A320-A320
Author(s):  
R H Roth ◽  
E Harrison ◽  
H Kang ◽  
J Lobo ◽  
J Logan ◽  
...  

Abstract Introduction Few studies have explored how patients sleep or what characteristics might be predictive of poor sleep during clinically-indicated polysomnography (PSG) in an in-laboratory setting. Methods We reviewed clinically indicated diagnostic PSG studies completed over a 10-year period in a single academic sleep center. Total sleep time (TST) and sleep efficiency (SE) were used as proxies for sleep quality. Patients were categorized as normal or poor sleepers based on TST &lt;4 hours or SE &lt;50%. Multivariate linear and logistic regression analyses were performed to determine factors associated with sleep quality while controlling for demographics, medications, comorbidities and measures of sleep. Results We included 4957 patients, who were mostly female (58.9%), middle-aged (52.9 y), Caucasian (69.3%), and overweight or obese (91.3%). 3682 patients (74.2%) were diagnosed with sleep apnea (Apnea Hypopnea Index(AHI)&gt;5/hr). Average TST was 5.75±1.43 hours (Interquartile range [IQR] = 4.94 - 6.73) and average SE was 75.1%±16.1% (IQR=66.9 - 87.2). TST and SE were lower for males compared to females (5.48 vs 5.93 hr, p&lt;0.001; 73% vs 77%, p&lt;0.001). In multivariable analysis, older age (TST: OR = 1.04, 95% CI:[1.03,1.05]; SE: OR = 1.04, 95% CI:[1.04,1.05]), male sex (TST: 1.38,[1.14,1.68]; SE: 1.34,[1.07,1.68]), normal body habitus (TST: 1.47,[1.02,2.08]; SE: 1.51,[1.01,2.27]) and a higher AHI (TST: 1.02,[1.02,1.03]; SE: 1.02,[1.003,1.03]) were significantly associated with being a poor sleeper for both TST and SE. Antidepressant use was associated with poor sleep for TST (0.77, [0.59,1]), but not for SE (0.98, [0.73,1.3]). Conclusion Sleep quality during the in-laboratory PSG differed by sex, age and presence of sleep apnea. Sleep quality during in-lab PSG is thought to be compromised by obtrusive monitoring and an unfamiliar environment, but average sleep quality may be higher than expected for patients in the laboratory. Future studies should consider examining in-lab sleep quality in different patient populations. Support N/A


2017 ◽  
Vol 41 (S1) ◽  
pp. S561-S561 ◽  
Author(s):  
M.F. Vieira ◽  
P. Afonso

IntroductionIn clinical practice, insomnia is a common feature in anorexia nervosa (AN). Sleep self-reports in AN suggest that these patients report poor sleep quality and reduced total sleep time. Weight loss, starvation and malnutrition can all affect sleep. Patients with eating disorders who have sleep disturbances have more severe symptomatology.ObjectivesThe authors intend to review sleep disturbances observed in AN, describe possible pathophysiological mechanisms and evaluate the clinical impact of sleep disturbances on the treatment and prognosis of the disease.MethodsIn this study, a non-systematic search of published literature from January 1970 and August 2015 was carried out, through PubMed, using the following keywords: ‘sleep’, ‘anorexia nervosa’ and ‘insomnia’.ResultsThese patients subjectively report having poor sleep quality, with difficulty falling asleep, interrupted sleep, early morning waking or reduced total sleep time. Sleep disturbances found in AN using polysomnography are: reduction in total sleep time, decrease in slow wave sleep, slow wave activity and reduced sleep efficiency.ConclusionsPrivation of adequate and restful sleep has a negative impact on the quality of life of patients, may contribute to the appearance of comorbidities, such as depression and anxiety, and to a poor prognosis for AN.Disclosure of interestThe authors have not supplied their declaration of competing interest.


SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A231-A232
Author(s):  
Dahee Wi ◽  
Teresa Ward

Abstract Introduction Systemic Lupus Erythematosus (SLE) is a chronic, inflammatory autoimmune disorder characterized by recurrent episodes of pain and is more prevalent in youth of color. Although sleep deficiency (poor quality and an inadequate amount of sleep) and pain are interrelated, most of what is known about SLE pain and sleep rely on reports from adults. Less is known about these associations in youth with SLE, leaving a critical gap in care for this population. This study aims to describe the temporal daily relationships between sleep deficiency and pain in 11-to 18-year-old youth with SLE. Methods Twenty-three youth (n=21 girls, n=9 Hispanic) with SLE (mean age=14.7 □ 2.2) participated in the study. Youth wore actigraphy and completed electronic sleep diaries for consecutive 10 days. Actigraphic sleep variables (Total Sleep Time [TST], Sleep Efficiency [SE]) and self-reported Sleep Quality (diary SQ) were examined as predictors of next-day pain in the morning. Average daytime pain was examined as a predictor of nighttime sleep (both actigraphic and self-reported sleep variables). Pubertal stage and ethnicity (Hispanic vs. Non-Hispanic) were entered as covariates in all models. Results Of the sample, the mean TST was 7 □ 1.2 hours and the mean SE was 73.5 □ 9.2% as measured by actigraphy. On average, diary SQ negatively predicted next-day pain in the morning (p &lt;.001). On average, pain negatively predicted TST (p &lt;.05) and diary SQ (p &lt;.001). The within-subject relationships between sleep and next-day pain were not significant. Daytime pain predicted neither actigraphic nor self-reported sleep quality. Conclusion Poor sleep is a modifiable behavior, and improving sleep quality may reduce pain intensity in youth with SLE. Although further study is needed, the findings suggest that sleep is a potential target for interventions to alleviate symptoms of pain in this population. Support (if any) This work was funded by NIH/NINR P30NR016585 (MPI: MMH, TMW), R21NR017471 (TMW); University of Washington, School of Nursing, Research and Intramural Funding (RIFP); Hester McLaws Nursing Scholarship.


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