Direct current (DC) potential is an objective measure of the functional state of the human organism. It is a sensitive and accurate indicator of short- and long-term adaptations to stress, adaptive capacities, and it is an important marker of athlete readiness. Sleep is posited to be the most efficacious strategy for improving recovery to enhance sport performance, and adequate sleep is considered vital to normal psycho-physiological function. Thus, optimal sleep may enhance the functional state, in turn enhancing an athlete’s adaptability to training stress. However, little is known about the relationship between sleep and DC potential. Therefore, the purpose of this study was to examine the effect of acute (one-night) and extended (two-night) sleep quantity and quality on DC potentials in collegiate American football players. Twenty-four Division 1 American football players (Age: 20.6 ± 1.30 yr; Height: 183.4 ± 6.40 cm; Body mass: 114.40 ± 24.60 kg) wore a wrist-worn actigraphy band seven days per week over the course of 136 days, which spanned the pre-season training camp and competitive season, to measure sleep quantity and quality. DC potential was assessed six days per week using the Omegawave Ltd (Espoo, Finland) athlete monitoring system either 30 minutes upon waking or 75-120 minutes prior to the onset of the football training session. Sleep quantity was stratified into duration categories and sleep quality was stratified within sleep latency, number of awakenings, and sleep efficiency variables. Sleep quantity and quality were evaluated using acute (one night) and extended (rolling average of two consecutive nights) sleep outcomes. Within subject comparisons of DC potential were made across sleep quantity and quality categories using repeated-measures analysis of variance to examine the influence of acute and extended sleep quantity and quality on DC potential outcomes. The level of significance was set at p ≤ 0.025. Statistically significant main effects were identified for acute sleep (F3,16 = 4.68, p < .02, η2p = 0.47) and extended sleep durations (F2,17 = 7.71, p < 0.005, η2p = 0.48). Specifically, for acute sleep durations, there was a 17.1% increase in DC potentials (3.59, p < 0.01, Cohen’s d = 0.52, SE 1.18) for sleep durations ≥ 7 hours to < 9 hours, compared to sleeping < 6. For extended sleep, there was a 20% increase in DC potentials (4.53, p < 0.002, Cohen’s d = 0.68, SE = 1.13) when recording a two-day sleep average of ≥ 7.5 hours and < 9 hours, compared to an extended sleep duration of < 6 hours. A statistically significant main effect was also identified for extended wake episodes (F2,19 = 4.5, p = 0.025, η2p = 0.32). For extended sleep periods with > 4 wake episodes there was a 12% increase in DC potentials (2.57 ± 2.24mV, p < 0.25, Cohen’s d = 0.34) compared to extended sleep periods with 2-3 wake episodes. There was not a significant effect of acute (p ≥ 0.20) sleep quality or extended latency (p > 0.18) and efficiency (p > 0.08) on DC potentials. These findings suggest that sleep quantity affects DC bio-potentials and thus the functional state of the athlete. Specifically, sleep durations between 7.00/7.50 to 9 hours correspond with higher measures of DC potentials compared to lesser durations. Given the effect of sleep quantity on biological markers for training adaptability, practitioners should prioritize sleep in the training process and educate athletes on proper sleep hygiene and sleep quantity to enhance their readiness to train.

Sleep has a recreating, health promotive and regenerative function. Research shows that intensive care patients suffer from sleep deprivation and bad sleep quality with considerable negative consequences. The aim of the report was to examine how much nocturnal sleep patients without ventilator treatment get and to observe factors that may influence sleep. Methods: An observation chart was used to collect data. The staff’s observation of the patients’ night sleep and estimated nocturnal noise- and light levels in the patients’ rooms were documented. The patients’ answers to questions about pain and possible causes for their awakenings were noted. The staff documented also their own perception of what could have awakened the patient, plus the use of ear plugs, sleep medication and sedatives. Results: The results show that patients at CIVA have too short nocturnal sleep. Furthermore their sleep is fragmented and there are few sleep periods of 90 minutes or longer, which means that the sleep structure is disturbed. The results show also that there is room for improvement work at CIVA concerning factors which may influence the patients’ nocturnal sleep. Conclusions: Patients at CIVA have too short and fragmented night sleep. Efforts to promote the patients night sleep should be intensified. / Sömn har en rekreerande, hälsofrämjande och regenererande funktion. Forskning visar att intensivvårdspatienter har sömnbrist och dålig sömnkvalitet med betydande negativa konsekvenser. Rapportens syfte var att kartlägga hur mycket nattsömn icke- ventilatorbehandlade patienter på CIVA får och att observera faktorer som kan påverka sömnen. Metod: Ett formulär användes till datainsamling. Personalens observationer av patientens nattsömn samt skattade nattliga ljud- och ljusnivåer i patientsalen dokumenterades. Patientens svar på frågor om smärta och möjliga orsaker till uppvaknanden noterades. Personalen dokumenterade även sin egen uppfattning om vad som kunde ha väckt patienten samt användning av öronproppar, sömnmedicin och lugnande medicin. Resultat: Resultaten visar att patienterna på CIVA har för kort nattsömn. Dessutom är sömnen fragmenterad och det förekommer få sömnperioder à 90 minuter eller längre vilket betyder att sömnstrukturen är störd. Resultaten visar även att det finns utrymme för förbättringsarbete på CIVA angående faktorer som kan påverka patienternas nattsömn. Slutsats: Patienterna på CIVA har för kort och fragmenterad nattsömn. Kvalitetsutvecklingsarbetet för att främja patienternas nattsömn borde intensifieras.

Whereas sleep is often thought of as a common health issue among college students, few, if any, researchers have comprehensively evaluated correlates and predictors of sleep quality and quantity within this population. Most often, studies of this type are used by researchers to assess particular categories of correlates and predictors (e.g., emotional and mental health, student employment, substance abuse, etc.). The present study was conducted to determine correlates and predictors of sleep quantity and quality using among randomly selected college students at a Midwestern four-year research university with high research activity. A classroom survey comprised of the Pittsburgh Sleep Quality Index, the Medical Outcomes Study - Short Form 36, a sleep journal, and demographic questions was administered to students enrolled in 18 University Core Curriculum classes during the spring 2011 semester. Four hundred and sixty student surveys were used for data analysis. Average weekday sleep length was found to be statistically significantly correlated only with mental wellbeing. No statistically significant correlations were found between any of the potential predictor variables and the dependent variables of average weekend day sleep length. Overall sleep quality was found to be statistically significantly correlated with mental and physical wellbeing. Using path analysis, three reduced models, one for each of the three dependent variables (weekday sleep length, weekend day sleep length, and overall sleep quality, were produced. Through ×2 testing, reduced models for all three models fit the full model's data; deleted paths did not contribute to the model. As a whole, students are getting adequate sleep length, but possess poor sleep quality. Sleep quality and sleep quantity, are influenced by different factors, creating challenges for those wishing to provide education, prevention and intervention services.

Emotion dysregulation and rumination are involved in the development, maintenance, and treatment of both posttraumatic stress disorder (PTSD) and sleep disturbances. We examined if and how these factors influenced the nature of the relationship between PTSD symptom severity and subjective sleep disturbances among trauma-exposed individuals. Using data gathered from a community sample of 199 trauma-exposed individuals (Mean age = 35.48; 59.80% female), we examined whether there were stronger significant associations between greater PTSD symptom severity and poorer sleep quality/lower sleep quantity at higher (vs. lower) levels of (1) negative emotion dysregulation and positive emotion dysregulation (both included in the same model) and (2) rumination. Participants recruited via Amazon's Mechanical Turk completed the PTSD Checklist for DSM-5, Brief Version of the Difficulties in Emotion Regulation Scale, Difficulties in Emotion Regulation Scale – Positive, Ruminative Thought Style Questionnaire, and sleep quality/quantity items from the Pittsburgh Sleep Quality Index. Results of simple and additive multiple moderation analyses showed that neither negative/positive emotion dysregulation nor rumination moderated the relationships between PTSD symptom severity and sleep quality/quantity. Exploratory analyses showed that negative emotion dysregulation (when examined independently) moderated the relationship between PTSD symptom severity and sleep quality. There were also significant associations between poorer sleep quality/lower sleep quantity and greater PTSD symptom severity at low to average levels of negative emotion dysregulation coupled with any level of positive emotion dysregulation. Findings inform theoretical perspectives on the PTSD-sleep relationship and clinical applications of targeting emotion dysregulation and rumination in the treatment of PTSD symptoms and sleep disturbances for trauma-exposed individuals.

This duo of meta-analyses explored relationships between creativity and sleep quality [Study 1], and creativity and dream recall [Study 2]. Studies on these topics noted personality influences in both creativity and sleep quality, as well as dream recall. Studies also identified potential connections between creativity, sleep, and dreaming by investigating the stage of sleep from which creative thinking could emerge. Twenty studies were eligible to code and analyze in Study 1 and 16 in Study 2. Analyses using two-level multivariate analyses showed a small and positive correlation between creativity and sleep (r = .147, 95% CI = [0.033, 0.257]), p = .012 [Study 1] as well as creativity and dream recall (r = 0.173, 95% CI = [0.089, 0.257]), p = .001) [Study 2]. Both Study 1 and Study 2 tested moderator variables via a meta-regression. Moderators were identified based on the nature of assessments used, sample characteristics, and study characteristics. Study 1 results indicated that the relationship between sleep and creativity was higher when creativity test modality was verbal than figural. Study 2 also found that test modality was a significant moderator, and conversely, the relationship was larger when creativity was measured by figural tests compared to the verbal measures. Additionally, the relationship between the two was smaller among undergraduates compared to other adults. The findings are discussed in relation to their overlap with individual findings from primary studies.

<p>De senaste åren har sömnproblemen ökat i Sverige. Detta gäller även för studenter i åldern 20-24 år. Sömnbesvär hör samman med psykisk ohälsa i en ömsesidig påverkan och en av orsakerna kan vara en oregelbunden och stressfylld livsstil. Studenter är en riskgrupp för detta.Syftet med denna enkätstudie var att se om det fanns något samband mellan hur studenters dagar är strukturerade i form av schemabunden undervisning och hur deras sömnvanor ser ut. Ett annat syfte var att se om det fanns ett samband mellan studenternas självrapporterade sömnkvalitet, sömnkvantitet och deras psykiska välbefinnande. Resultatet visade att studenter som hade fler än 10 lektionstimmar i veckan oftare svarade att de hade lätt att somna och hade en god sömn men inte sov tillräckligt jämfört med studenter som hade färre lektionstimmar. De med få lektionstimmar hade svårare att somna jämfört med övriga studenter. Studenter som sov dåligt och för lite hade också känt mer stress, ängslan, oro och ångest än de som sov gott och tillräckligt.</p> / <p>In recent years, sleep deprivation has been increasing in Sweden. This phenomenon has become quite apparent in the student category aged between 20-24 years old. Insomnia, which is correlated with mental well-being, has many causes some of which include an irregular and hectic lifestyle. Students particularly fall into this group and are becoming more and more vulnerable to this condition. The purpose of this study was to find and identify the links between the students’ busy academic schedules and the apparent inability to get a full and restful night sleep. This paper will also profile the psychological aspects of a carefully selected target group for the purpose of this research. Students with more than 10 academic tuition hours reported that they were able to fall asleep and slept well, but also indicated that the duration was insufficient for their need which is in direct contrast to students who had less than 10 tuition hours. This paper also identified that students with poor sleeping or insufficient sleep were more stressed, agitated and suffered from raised levels of anxiety as opposed to other students.</p>

De senaste åren har sömnproblemen ökat i Sverige. Detta gäller även för studenter i åldern 20-24 år. Sömnbesvär hör samman med psykisk ohälsa i en ömsesidig påverkan och en av orsakerna kan vara en oregelbunden och stressfylld livsstil. Studenter är en riskgrupp för detta.Syftet med denna enkätstudie var att se om det fanns något samband mellan hur studenters dagar är strukturerade i form av schemabunden undervisning och hur deras sömnvanor ser ut. Ett annat syfte var att se om det fanns ett samband mellan studenternas självrapporterade sömnkvalitet, sömnkvantitet och deras psykiska välbefinnande. Resultatet visade att studenter som hade fler än 10 lektionstimmar i veckan oftare svarade att de hade lätt att somna och hade en god sömn men inte sov tillräckligt jämfört med studenter som hade färre lektionstimmar. De med få lektionstimmar hade svårare att somna jämfört med övriga studenter. Studenter som sov dåligt och för lite hade också känt mer stress, ängslan, oro och ångest än de som sov gott och tillräckligt. / In recent years, sleep deprivation has been increasing in Sweden. This phenomenon has become quite apparent in the student category aged between 20-24 years old. Insomnia, which is correlated with mental well-being, has many causes some of which include an irregular and hectic lifestyle. Students particularly fall into this group and are becoming more and more vulnerable to this condition. The purpose of this study was to find and identify the links between the students’ busy academic schedules and the apparent inability to get a full and restful night sleep. This paper will also profile the psychological aspects of a carefully selected target group for the purpose of this research. Students with more than 10 academic tuition hours reported that they were able to fall asleep and slept well, but also indicated that the duration was insufficient for their need which is in direct contrast to students who had less than 10 tuition hours. This paper also identified that students with poor sleeping or insufficient sleep were more stressed, agitated and suffered from raised levels of anxiety as opposed to other students.

Sömn är grundläggande för elitidrottares återhämtning och uppbyggnad. För ungdomar som elitidrottar kan upprätthållande av en god sömnkvalitet, sömnkvantitet och sömnhygien vara utmanande. Det huvudsakliga syftet med studien var att studera skillnader i sömnvanor mellan elitidrottande ungdomar och ungdomar som inte elitidrottar. Undersökningen riktades mot elevers sömnhygien med ett specifikt fokus på skärmanvändande. 504 elever deltog i enkätstudien varav 256 studerade på riksidrottsgymnasium och 248 på vanligt gymnasium. Signifikanta skillnader observerades där elitidrottande ungdomar hade bättre sömnkvalitet och sömnkvantitet, men sämre sömnhygien än jämförelseelever. Skärmanvändande skiljde sig inte mellan grupperna. Resultatet pekade på att elitidrottande ungdomar hade sämre sovmiljö, men bättre sömnhygien när det gällde substansintag och insomningsfördröjande beteenden än jämförelseelever. Ett signifikant samband mellan sömnhygien och sömnkvalitet observerades. Specifika faktorer som predicerade sömnkvalitet hos RIG-elever var skärmanvändande efter sovförsök och uppvaknanden av aviseringar under natten. Slutsatser från studien är att även om elitidrottssatsande elever har bättre sömnkvalitet och sömnkvantitet än elever på jämförelsegymnasium, finns det fortfarande stort utrymme för förbättring. Då elevernas sömnhygien kan anses vara bristfällig, pekar resultatet på att större fokus bör läggas på att ge eleverna optimala förutsättningar för bättre sömn. / Sleep is fundamental for an athlete’s recovery and adaptation. It can be hard for high school athletes to maintain good sleep quality, quantity and hygiene. The main purpose of this study was to examine differences in sleep habits between high school athletes and non-athlete high school adolescents. The students’ sleep hygiene was studied, and specific focus was drawn to screen time. 504 students participated in the survey whereas 256 studied at National Sports High Schools and 248 at a reference high school. Significant differences were observed suggesting that high school athletes had superior sleep quality and sleep quantity, but inferior sleep hygiene compared to the reference group. Screen time did not differ between the groups. The result showed that high school athletes had inferior sleep environment, but superior sleep hygiene regarding substance use and sleep delaying behaviors compared to the reference group. A significant correlation between sleep hygiene and sleep quality was observed. Specific factors predicting sleep quality for high school athletes were screen time after sleep attempt and awakenings due to notifications. The study’s conclusion is that there is still room for improvement even though high school athletes shows superior sleep quality and sleep quantity compared to the reference group. Since the students’ sleep hygiene can be seen as inadequate, the study suggests that interventions to support high school athletes’ optimal sleep should be considered.