National Sleep Foundation's sleep quality recommendations: first report

High-intensity exercise in the evening does not disrupt sleep in endurance runners

PURPOSE

To investigate the effect of early evening exercise training at different intensities on nocturnal sleep and cardiac autonomic activity in endurance-trained runners.

METHODS

Eight runners completed three experimental trials in a randomised, counterbalanced order. In the early evening (end of exercise 3.5 h before bedtime), participants performed either: (i) a 1 h high-intensity interval running session (HIGH, 6 × 5 min at 90% VO_2peak interspersed with 5 min recovery); (ii) a 1 h low-intensity running session (LOW, 60 min at 45% VO_2peak) or (iii) no exercise (CON). Subsequent nocturnal sleep was assessed using polysomnography, wristwatch actigraphy, and subjective sleep quality. A two-lead electrocardiogram recorded nocturnal cardiac autonomic activity.

RESULTS

Total sleep time increased after HIGH (477.4 ± 17.7 min, p = 0.022) and LOW (479.6 ± 15.6 min, p = 0.006) compared with CON (462.9 ± 19.0 min). Time awake was lower after HIGH (31.8 ± 18.5 min, p = 0.047) and LOW (30.4 ± 15.7 min, p = 0.008) compared with CON (46.6 ± 20.0 min). There were no differences between conditions for actigraphy and subjective sleep quality (p > 0.05). Nocturnal heart rate variability was not different between conditions, but average nocturnal heart rate increased after HIGH (50 ± 5 beats min^-1) compared with LOW (47 ± 5 beats min^-1, p = 0.02) and CON (47 ± 5 beats min^-1, p = 0.028).

CONCLUSION

When performed in the early evening, high-intensity exercise does not disrupt and may even improve subsequent nocturnal sleep in endurance-trained runners, despite increased cardiac autonomic activity. Additionally, low-intensity exercise induced positive changes in sleep behaviour that are comparable to those obtained following high-intensity exercise.

[Aggregation of cardiovascular risk factors: alcohol, smoking, excess weight, and short sleep duration in adolescents in the ERICA study]

This study aimed to analyze the aggregation of alcohol consumption, smoking, excess weight, and short sleep in Brazilian adolescents. This was a cross-sectional multicenter study conducted with teens participating in the Study of Cardiovascular Risk Factors in Adolescents (ERICA in Portuguese). The sample consisted of adolescents that answered the complete questionnaires on sleep, tobacco, and alcoholic beverages, in addition to having their weight and height measured. Aggregation was analyzed by comparing the observed and expected prevalence of risk factors in all possible groupings, with the respective 95% confidence intervals. Analyses were performed in Stata 14 using the svy (survey) command for complex sample data. The sample included 73,624 adolescents, of whom 25.5% had excess weight and 24.2% consumed alcoholic beverages. Aggregation of the four risk factors was O/E = 5.6. Aggregation of three factors was more prevalent in those 15 to 17 years of age (P = 4.8). In the POR (prevalence odds ratio) analysis of the combination of two risk factors, those that smoked showed 11.80 higher odds of also consuming alcohol, compared to those that did not smoke, and vice versa, in private schools. In relation to age, adolescents 12 to 14 years of age that smoked showed 15.46 times higher odds of also drinking, and vice and versa. Adolescents in the sample presented the aggregate presence of four risk factors, and there was a significant relationship between tobacco and alcohol consumption.

The Successful Treatment of Insomnia in a Patient With a Complex Neurological History

Insomnia is one of the more common sleep–wake disorders from which people suffer. This is particularly true among individuals who have experienced neurological insult via conditions such as multiple sclerosis, stroke, and other neurodegenerative disorders. While cognitive-behavioral therapy for insomnia (CBT-I) is one of the most effective behavioral interventions for insomnia, there is a dearth of empirical literature on its application to patients who have a history of neurological disorders. The present case study illustrates a largely successful course of CBT-I to treat a persistent and severe case of insomnia for Eric, a 55-year-old Caucasian man with multiple sclerosis and a self-reported history of restless leg syndrome and stroke. His treatment course is described in detail, and the implications of this approach to care are discussed.

Sleep quality and gestational diabetes in pregnant women: a systematic review and meta-analysis

Poor sleep quality is very common among pregnant women. Gestational diabetes mellitus (GDM) has been related to various adverse maternal and neonatal outcomes. The aim of this systematic review was to examine the association between poor sleep quality and gestational diabetes risk. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, a systematic search was conducted in five electronic databases from inception to February 2019. Studies that examined the relationship between sleep quality and glucose in pregnant women were screened for eligibility. Pooled odds ratio (OR) with 95% confidence interval (CI) was calculated from aggregate data using a fixed-effect model. Thirteen non-experimental studies (n = 21,194 women) were eligible for inclusion. Poor sleep quality was measured using subjective questionnaires in nine studies and objective methods (actigraphy or polysomnography) in four studies. GDM was typically diagnosed following standard guidelines. Eight studies were included in the meta-analysis for GDM. Overall, self-reported poor sleep quality was a significant risk factor for GDM (pooled OR = 1.43, 95%CI: 1.16,1.77, p = 0.001). Three studies examined the association between objective sleep quality and GDM, but no significant relationship was observed. Subjective poor sleep quality was related to an increased risk for GDM, while objectively measured sleep quality was not. This review was limited by the assessment of sleep quality. Future larger studies are warranted to examine the effects of sleep quality on glucose metabolism in pregnancy. Ideally, these studies should measure sleep quality using both validated questionnaires and objective methods. These will provide further directions for improving sleep during pregnancy and exploring its effects on glucose metabolism.

Self-Reported Sleep Quality Using the Malay Version of the Pittsburgh Sleep Quality Index (PSQI-M) In Malaysian Adults

(1) Background: The Pittsburgh Sleep Quality Index (PSQI) is a useful tool for the assessment of subjective sleep quality in non-clinical and clinical settings. This study aimed to determine sleep quality in a general Malaysian adult population using a validated Malay version of the Pittsburgh sleep quality index (PSQI-M); (2) Methods: The original PSQI was translated into Malay following forward and backward translation guidelines. The final Malay version was administered to a sample of healthy working adults (n = 106; mean age: 35.3 ± 7.6 years) without history of sleep disorders. Reliability and agreement were assessed using Cronbach’s alpha, intra-class correlations coefficient (ICC), standard error of measurement (SEM), and Bland–Altman plot. Convergent validity of PSQI-M was examined with the Malay version of Epworth sleepiness scale (ESS-M) using Pearson’s correlation coefficient; (3) Results: Overall mean PSQI global score was 5.25 ± 1.85. About 45% of the sample had PSQI global score >5, indicating poor sleep quality. Total sleep duration per night was 5.95 ± 1.05 h, below the recommended amount. Sleep quality seems to be affected by age but not gender. Internal consistency as measured by Cronbach’s alpha in the whole sample was 0.74, with test–retest reliability (ICC) of 0.58 and SEM of 1.34. The PSQI test–retest scores indicated that most of the respondents (90%) lay within the 95% limits of agreement. The PSQI-M also showed significant correlation with ESS-M scores (r = 0.37, p < 0.01); (4) Conclusion: The PSQI-M showed acceptable reliability and is valid to be used in a general Malaysian adult population. Findings also indicate that a majority of the adults in our sample were experiencing inadequate sleep, thus further research is needed to identify the factors associated with poor sleep quality.

"Like Walking in a Fog"-Parents' perceptions of sleep and consequences of sleep loss when staying overnight with their child in hospital

Disruption of parental sleep in hospital, with frequent awakenings and poor sleep quality, limits the parents' resources to meet the child's needs and maintain parental wellbeing. The aim of the study was to explore and describe how parents perceive their sleep when staying overnight with their sick child in hospital. A further aim was to explore and describe parents' perception of what circumstances influence their sleep in the hospital. Twenty-two parents who were accommodated with their sick child (0-17 years) in paediatric wards in Norway and Sweden participated. Interviews were conducted during the hospital stay to elicit their perspectives. Phenomenography was used to analyse data. Two descriptive categories were found: (a) "Perceptions of sleep", with two sub-categories: "Sleep in the paediatric ward" and "Consequences of sleep loss"; and (b) "Circumstances influencing sleep in the paediatric ward" with three sub-categories: "The importance of the family", "Information and routines at the paediatric ward", and "Accommodation facilities". Parents' sleep and needs must be acknowledged in paediatric wards. An individual plan of care for the upcoming night could be a valuable tool for both the parents and nurses. The child's medical needs must be met with respect to the parents' willingness to take part in the child's care during the night, and the need for rest and sleep for both parent and child.

One-year changes in self-reported napping behaviors across the retirement transition

OBJECTIVE

To estimate associations of retirement with self-reported frequency and duration of naps.

DESIGN

Prospective cohort study.

SETTING

Population-based.

PARTICIPANTS

1359 current and former Wisconsin state employees, aged 54-69.

MEASUREMENTS

Four annual surveys mailed between 2010 and 2014 elicited employment status and nap characteristics. Changes in employment status and nap characteristics were identified from survey pairs measured 1 year apart (up to 3 survey pairs per subject). General linear mixed models with repeated measures were used to estimate changes in minutes napped per week (MNPW), weekly nap frequency, and individual nap duration as predicted by retirement transitions vs stable employment status. All models were adjusted for demographic characteristics, self-rated health, medical diagnoses, sleep problems, circadian preference, and change in nocturnal sleep duration.

RESULTS

There were 3101 survey pairs in the analytic sample. Full retirement (transition from working ≥35 h/wk to not working for pay) over a 1-year period predicted a statistically significantly larger mean change in MNPW than stable employment status: mean (95% confidence interval) = +48 (+16, +80) MNPW. Associations between staged retirement transitions (from full-time to part-time work, or from part-time work to full retirement) and 1-year changes in MNPW were not statistically significant. The MNPW changes associated with full retirement were attributable to nap frequency increase of +0.4 (+0.1, +0.8) d/wk; nap duration did not change significantly.

CONCLUSIONS

Compared with stable employment status, full retirement is associated with an average 1-year increase of +48 MNPW. This change is attributable to a frequency gain of 0.4 d/wk napped. Changes in nap duration were negligible.

Actigraphy to Evaluate Sleep in the Intensive Care Unit. A Systematic Review

RATIONALE

Poor sleep quality is common in the intensive care unit (ICU) and may be associated with adverse outcomes. Hence, ICU-based efforts to promote sleep are gaining attention, motivating interest in methods to measure sleep in critically ill patients. Actigraphy evaluates rest and activity by algorithmically processing gross motor activity data, usually collected by a noninvasive wristwatch-like accelerometer device. In critically ill patients, actigraphy has been used as a surrogate measure of sleep; however, its use has not been systematically reviewed.

OBJECTIVES

To conduct a systematic review of ICU-based studies that used actigraphy as a surrogate measure of sleep, including its feasibility, validity, and reliability as a measure of sleep in critically ill patients.

METHODS

We searched PubMed, EMBASE, CINAHL, Proquest, and Web of Science for studies that used actigraphy to evaluate sleep in five or more patients in an ICU setting.

RESULTS

Our search yielded 4,869 citations, with 13 studies meeting eligibility criteria. These 13 studies were conducted in 10 countries, and eight (62%) were published since 2008. Across the 13 studies, the mean total sleep time of patients in the ICU, as estimated using actigraphy, ranged from 4.4 to 7.8 hours at nighttime and from 7.1 to 12.1 hours over a 24-hour period, with 1.4 to 49.0 mean nocturnal awakenings and a sleep efficiency of 61 to 75%. When compared side-by-side with other measures of sleep (polysomnography, nurse assessments, and patient questionnaires), actigraphy consistently yielded higher total sleep time and sleep efficiency, fewer nighttime awakenings (vs. polysomnography), and more overall awakenings (vs. nurse assessment and patient questionnaires). None of the studies evaluated the association between actigraphy-based measures of sleep and outcomes of patients in the ICU.

CONCLUSIONS

In critically ill patients, actigraphy is being used more frequently as a surrogate measure of sleep; however, because actigraphy only measures gross motor activity, its ability to estimate sleep is limited by the processing algorithm used. Prior ICU-based studies involving actigraphy were heterogeneous and lacked data regarding actigraphy-based measures of sleep and patient outcomes. Larger, more rigorous and standardized studies are needed to better understand the role of actigraphy in evaluating sleep and sleep-related outcomes in critically ill patients.

The association between excessive screen-time behaviors and insufficient sleep among adolescents: Findings from the 2017 youth risk behavior surveillance system

Although studies have examined the association between television viewing and poor sleep quality, few studies have considered the association between excessive screen-time behaviors and insufficient sleep among adolescents drawing on a large nationally representative sample. The objective of this study was to examine the association between excessive screen-time behaviors and insufficient sleep among adolescents. Data for this study came from the 2017 Youth Risk Behavior Survey. A sample of 14,603 adolescents aged 14-18 years (51.5% female) was analyzed using logistic regression with insufficient sleep as the outcome variable and excessive screen-time behaviors as the main explanatory variable. Of the 14,603 adolescents, almost three out of four (74.8%) had less than 8 h of sleep on an average school night, and about 43% engaged in excessive screen-time behaviors on an average school day. Controlling for all other predictors, odds were 1.34 times higher for adolescents who engaged in excessive screen-time behaviors to have insufficient sleep when compared to adolescents who did not engage in excessive screen-time behaviors (AOR = 1.34, p < .001, 95% CI = 1.22-1.48). School-based behavior interventions that focus on reduction in excessive screen-time and sedentary behaviors might be beneficial in reducing excessive screen-time behaviors and consequently improve sleep quality among adolescents.

Reciprocal Relations Between Parental Problem Drinking and Children's Sleep: The Role of Socioeconomic Adversity

Reciprocal relations between parental problem drinking (PPD) and children's sleep were examined longitudinally, and socioeconomic status was considered as a moderating variable. At Wave 1, 280 children (Mage  = 10.33) and their parent(s) participated, and 275 families returned 1 year later. At both waves, parent(s) reported on PD and children wore actigraphs that measured established sleep parameters. After controlling for autoregressive effects, fathers' PD predicted reduced sleep duration and efficiency in children over time. Supportive of reciprocal effects, more frequent long wake episodes predicted greater PPD. Fathers' PD was a more robust risk factor for lower than higher income children. Results build on a growing literature that has considered children's sleep in a family context.

Actigraphic Sleep and Dietary Macronutrient Intake in Children Aged 6-9 Years Old: A Pilot Study

The objective of this study was to examine the relationship between different sleep parameters and energy and macronutrient intake in school-aged children. A total of 203 children 6 to 9 years of age participated in this cross-sectional study. Anthropometric measurements were taken first. Diet was assessed with 3-day food logs and sleep was measured with a questionnaire on sleep quality and a wrist actigraph worn for at least 7 days. A decrease of 165.45 kcal was observed per each additional hour of sleep during the week (β (95% CI) = −165.45 (−274.01, −56.88); p = 0.003). This relationship was also observed for fat (β (95% CI) = −11.14 (−18.44, −3.84); p = 0.003) and protein (β (95% CI) = −13.27 (−22.52, −4.02); p = 0.005). An increase in weekend sleep efficiencies for those under the recommended threshold of 85% also had a similar association with energy (β (95% CI) = −847.43 (−1566.77, 128.09); p = 0.021) and carbohydrate (β (95% CI) = −83.96 (−161.76, −6.15); p = 0.035)) intake. An increase in habitual sleep variability was related with a slight increase in protein intake (β (95% CI) = 0.32 (0.031, 0.62); p = 0.031). Children who slept less had a higher energy intake, especially from fat and protein and those who presented inefficient sleep had a higher carbohydrate intake. Strategies to enhance sleep quality and quantity combined with dietary recommendations could help to improve energy and macronutrient intake levels in children.

Insomnia in Older Adults

Purpose of Review

To evaluate and summarize recent research articles pertaining to insomnia in older adults that can guide healthcare providers on factors to consider when assessing and managing insomnia.

Recent Findings

Up to 75% of older adults experience symptoms of insomnia. Insomnia is associated with socioeconomic status, racial and ethnic classification, family relationships, medical and mental health disorders, cognitive function, and dementia. Although one-fifth of older adults are still prescribed sleep medications, cognitive behavioral therapy for insomnia is the first line treatment for insomnia, resulting in short-term and long-term benefits.

Summary

To manage insomnia safely and effectively, healthcare providers need to consistently assess for insomnia during baseline and annual assessments, evaluate medical and social factors associated with insomnia, minimize the use of sleep medications, and provide referrals to and/or collaborate with providers who perform cognitive behavioral therapy for insomnia. Insomnia screening is important as it facilitates early intervention with behavioral management, reduces the potential for pharmacological management, which increases fall risk in older adults, and enables further assessment and early identification of outcomes such as cognitive impairment.

Psychological Distress and Sleep Disturbance Among Female Nurses: Anxiety or Depression?

Introduction: Sleep quality is an important issue in nurses' mental and general health. Long-term psychological distress leads to increased sleep disturbances among nurses. However, which forms of psychological distress are most associated with sleep disturbances is unclear among female nurses. Methodology: To determine which psychological distress factors are associated with sleep disturbances among female nurses. A total of 119 female Taiwanese nurses were recruited and surveyed using the Occupational Stress Indicator-2, Beck Anxiety Inventory, Beck Depression Inventory-II, and Pittsburgh Sleep Quality Index. Results: Overall, 68.9% of the nurses were poor sleepers, and 20.2% and 11.7% of them had more than moderate levels of anxiety and depression, respectively. A logistic regression analysis showed that sleep disturbances were associated with higher levels of depression and poorer general health. Discussion: Compared with anxiety, depression more heavily influences sleep disturbances among female nurses. Depression prevention should thus be a focus of mental health promotion for female nurses.

Poor sleep quality is associated with perinatal depression. A systematic review of last decade scientific literature and meta-analysis

Background Although pregnancy is frequently associated with mental states of happiness, hope and well-being, some physical and psychological changes can contribute to increased sleep disturbances and worsened sleep quality. Sleep quality has been linked to negative emotions, anxiety and depression. The main objective of this paper was to systematically review the impact of sleep during pregnancy on maternal mood, studying the association between objective and subjective measures of sleep quality and perinatal depression. Methods We performed a systematic review according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, which included studies published between January 2008 and April 2019, and met the following criteria: (i) studies on pregnant women assessing the effects of sleep quality variables on perinatal mood disorders, (ii) studies published in English and (iii) full paper published in a peer-reviewed scientific journal with full-text format available. Results A total of 36 studies published in the last decade met the inclusion criteria for qualitative review and eight of them were suitable for meta-analysis. Both confirmed the negative effects of poor sleep on perinatal mood. However, qualitative analysis showed that unrepresentative samples and low participation rates falling below 80% biased some of the studies. The standard random-effects meta-analysis showed a pooled size effect [ln odds ratio (OR) 1.49 (95% confidence interval [CI] 1.19, 1.79)] for perinatal depression in cases of poor prenatal sleep quality, although heterogeneity was moderate to high [Q 16.05, P ≤ 0.025, H2 2.45 (95% CI 1.01, 13.70)]. Conclusion Poor sleep quality was associated with perinatal mood disturbances. The assessment of sleep quality along the pregnancy could be advisable with a view to offering preventative or therapeutic interventions when necessary.

Intra-individual variability of sleep and nocturnal cardiac autonomic activity in elite female soccer players during an international tournament

Purpose

To describe individual sleeping patterns and nocturnal cardiac autonomic activity of National team female soccer players during an international tournament.

Materials and methods

Twenty elite female soccer players (aged 25.2±3.1 years) wore wrist actigraph units and heart rate (HR) monitors during night-sleep throughout 9 consecutive days (6 day-time training sessions [DT], 2 day-time matches [DM], and 1 evening-time match [EM]) of an international tournament. Training and match loads were monitored using the session-rating of perceived exertion (s-RPE) and wearable 18-Hz GPS (total distance covered [TD], training and match exposure time, and high-speed running [HSR]) to characterize training and match loads.

Results

Individually, s-RPE, TD, exposure time, and HSR during training sessions ranged from 20 to 680 arbitrary units (AU), 892 to 5176 m, 20 to 76 min, and 80 to 1140 m, respectively. During matches, s-RPE, TD, exposure time, and HSR ranged from 149 to 876 AU, 2236 to 11210 m, 20 to 98 min, and 629 to 3213 m, respectively. Individually, players slept less than recommended (<7 hours) on several days of the tournament, especially after EM (n = 8; TST ranging between 6:00–6:54 h). Total sleep time coefficient of variation (CV) ranged between 3.1 and 18.7%. However, all players presented good sleep quality (i.e., sleep efficiency ≥75%; individual range between: 75–98%) on each day of the tournament. Most of the players presented small fluctuations in nocturnal cardiac autonomic activity (individual nocturnal heart rate variability [HRV] ranged from 3.91–5.37 ms and HRV CV ranged from 2.8–9.0%), while two players presented higher HRV CV (11.5 and 11.7%; respectively).

Conclusion

Overall, this study highlights the substantial individual variability in sleep and HRV measures, suggesting the adoption of an individual approach to monitor sleep, training and match loads and recovery, to better understand how players cope with highly demanding competitions.

Cross-cultural disparities of subjective sleep parameters and their age-related trends over the first three years of human life: A systematic review and meta-analysis

Changes in nighttime sleep consolidation and daytime discontinuation have been observed in early life. Yet information about societal or cultural factors remains scant for implementing sleep recommendations. We aimed to provide pooled estimates of subjective sleep duration, number of nightwakings and sleep timing; to describe their age-related trends; and to determine potential cross-cultural disparities between predominantly-Asian (PA) and predominantly-Caucasian (PC) regions during the first three years of life. We performed this review according to the PRISMA guidelines. Overall, 102 studies with 167,886 children aged 0-3 y from 26 different countries/regions were included. Compared to PC regions, PA toddlers had shorter sleep duration and more frequent nightwakings. When PC regions were further divided into Pacific Rim and Europe, differences were much more evident between PA and Pacific Rim for all nighttime sleep parameters. Trends of nighttime sleep duration and bedtime for PC regions showed rapid changes over the first 3-6 mo before stabilizing to a plateau, whereas a different change was found for PA regions. In conclusion, an apparent cross-cultural disparity of the subjective sleep parameters already exists in early childhood. Improved operationalization of sleep parameters and more objective evidence are needed to establish cultural-sensitive recommendations this early in life.

Pillow preferences of people with neck pain and known spinal degeneration: a pilot randomized controlled trial

BACKGROUND

In people without cervical pathologies, changing to a latex or polyester pillow is reported to decrease waking cervical symptoms. Whether this also occurs for people with spinal degeneration in the neck is unknown.

AIM

This pilot study tested recruitment strategies for people with cervical spine degeneration, and the effect of different pillows on cervical waking symptoms, sleep quality, cervical range of motion, neck disability index and quality of life.

DESIGN

A randomized sequential-block double-blind controlled trial.

SETTING

A community-based study.

POPULATION

Adult volunteers (18+ years) with regular waking cervical symptoms (headache, cervical pain and/or stiffness, scapular pain), confirmed radiologic evidence of cervical spine degeneration, side sleeper and "usual" use of one pillow.

METHODS

Participants were recruited, through community advertising at medical and physiotherapy practices, local community groups, and via newspaper, radio and websites. After screening for eligibility, they tested latex and polyester pillows for 28 days each, interspersed with 28 days on "usual" pillow for washout, and comparison. Subjects ceased using a trial pillow if it affected sleep quality or waking symptoms. Cervical range of motion, neck disability index and quality of life were measured pre-post each pillow trial, whilst waking symptoms and sleep quality were assessed daily.

RESULTS

Of 117 local volunteers, 92 had radiologically-confirmed cervical spondylosis, and a further 45 (48.9%) were excluded for medical conditions, sleep position and/or pillow use. Approximately 70% "usual" pillows were polyester. Overall no pillow significantly altered any outcome measure. Considering trends however, the polyester pillow significantly increased side flexion range of movement on waking and showed some effect on nocturnal-waking cervical pain. The latex pillow did not perform well on any outcome measure. Significantly more subjects completed the polyester pillow trial than the latex pillow trial (post-hoc power 80% vs. 55%).

CONCLUSIONS

Well-powered studies to truly detect pillow impact on waking symptoms and sleep quality require 400+ symptomatic subjects.

CLINICAL REHABILITATION IMPACT

It has previously been reported that using a latex or polyester pillow significantly improves waking cervical symptoms in the general population. This pilot study did not replicate these results in people with known cervical spine degeneration.

Resistance training in addition to aerobic activity is associated with lower likelihood of depression and comorbid depression and anxiety symptoms: A cross sectional analysis of Australian women

The mental health benefits of resistance training (RT) alone or beyond those provided by aerobic physical activity (PA) are unclear. This study aimed to determine the association between meeting recommendations for aerobic PA and/or RT, and symptoms of depression and/or anxiety. Participants were Australian female members of the 10,000 Steps project (n = 5180, 50.0 ± 11.5 years). Symptoms of depression and anxiety were determined using the Depression Anxiety Stress Score. Participants were grouped as 'depression only', 'anxiety only', 'co-occurring depression and anxiety' or 'neither depression nor anxiety' based on relevant subscale score (cut-points: depression≥14 points, anxiety≥10 points). The International Physical Activity Questionnaire-Long Form questionnaire was used to determine PA with an additional item to specify RT frequency. Participants were classified as adhering to 'aerobic PA only' (≥150 min PA/week), 'RT only' (RT ≥ 2 days/week), 'aerobic PA + RT' (≥150 min PA/week+RT ≥ 2 days/week), or 'neither aerobic PA nor RT' (<150 min PA/week+RT < 2 days/week). Adjusted relative risk ratios (RRR [95%CI]) were estimated using multinomial logistic regression models. Relative to the 'neither PA nor RT' (n = 2215), the probabilities of 'depression only' (n = 317) and 'co-occurring depression and anxiety' (n = 417) were lower for the 'aerobic PA only' (n = 1590) (RRR = 0.74 [0.56-0.97] and RRR = 0.76 [0.59-0.97] respectively), and 'both PA + RT' (n = 974) groups (RRR = 0.61 [0.43-0.86] and RRR = 0.47 [0.33-0.67] respectively). There were no associations between adhering to one or both recommendations and 'anxiety only' (n = 317), or between 'RT only' (n = 401) and depression and/or anxiety. Prevention and treatment strategies including both aerobic PA and RT may provide additional benefits for depression with or without comorbid anxiety.

Sleep quality associated with mood in elite athletes

Objectives: This study aimed to analyze the association between sleep quality and mood in elite athletes of different competitive levels. Methods: Participants were 1041 elite athletes (aged 20.82 ± 6.62 years), with 671 men (64.5%/21.52 ± 6.90 years) and 370 women (35.5%/19.55 ± 5.89 years) from 10 individual sports and 6 team sports. Participants self-reported sleep quality on a Likert-type scale and mood was measured with the Brunel Mood Scale (BRUMS). The data were analyzed using the Kruskal-Wallis test, and binary logistic regression. Results: Results revealed that athletes who compete internationally are 84% more likely to have poor sleep quality than athletes who compete at a regional level. International athletes with good sleep quality showed greater vigor. National athletes with poor sleep quality showed more confusion, depression, and fatigue. Thus, mood and competitive level are factors associated with sleep quality. Confusion, fatigue, and tension impair sleep, and vigor reduces the likelihood of poor sleep. Conclusions: Sleep should be monitored, especially in international level athletes, in order to prevent sleep disorders during competitions. Coaches and athletes should use techniques and strategies for appropriate management of sleep and mood, to maintain the athletes in optimal condition before important competitions.

Relationship Between Added Sugar Intake and Sleep Quality Among University Students: A Cross-sectional Study

Eating foods high in added sugar has recently increased among people of all ages. This is expected to negatively affect health and life quality. This study was conducted to investigate the relationship between added sugar intake and sleep quality among university students. A total of 100 randomly selected female students (19-25 years old) from Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia, participated in the study after applying exclusion criteria. Sample size was calculated with expected correlation of −0.4 between sugar intake and sleep quality, a power of 90%, and a type 1 error of 5%. Participants completed the Food Frequency Questionnaire (FFQ), sleep quality questionnaire, and 24-hour dietary recall. Data were analyzed using IBM SPSS Statistics 25, and the χ2test was used for measuring the association between added sugar intake and sleep quality, where P <.05 was considered statistically significant. Results showed that only 17% of participants had good sleep. Data of the 24-hour dietary recall showed a significant association (P = .014) between consumption of added sugars and sleep quality. This is the first study to directly report on the effect of higher intake of added sugars on sleep quality. The study concluded that poor sleep quality was significantly related to higher added sugar intake.

The Sleep Health Index: Correlations with standardized stress and sleep measures in a predominantly Hispanic college student population

OBJECTIVES

The Sleep Health Index was developed to address limitations with existing sleep scales, particularly in the measurement of healthy sleep in non-clinical populations. The purpose of the current study was to examine this measure in relation to two widely-used sleep scales and two standardized stress scales.

METHODS

A sample of 416 undergraduate students completed an online survey that included the Sleep Health Index, Pittsburgh Sleep Quality Inventory, Insomnia Severity Index, Perceived Stress Scale, and Index of College Students' Recent Life Events.

RESULTS

Sleep health was negatively correlated with self-perceived stress and life-events (-.41 and- .45, respectively), insomnia severity (-.59), and poor sleep quality (-.58).

CONCLUSIONS

Although other measures assessing sleep health exist, there is a paucity of data-driven support for their validity. Our findings provide support for the Sleep Health Index as a measure of healthy sleep and demonstrate an association between psychological stress and sleep health in an undergraduate student population.

Sleep quality in hospitalized patients with advanced cancer: an observational study using self-reports of sleep and actigraphy

PURPOSE

Although patients with advanced cancer report poor sleep quality, few studies have assessed sleep quality with a combination of subjective and objective measures. We aimed to examine sleep quality in hospitalized patients with advanced cancer by combining patient-reported outcome-measures (PROMs) and polysomnography (PSG) or actigraphy.

METHODS

A one-night prospective observational study of sleep in hospitalized patients with metastatic cancer using WHO step III opioids was conducted. Total sleep time, sleep onset latency, number of awakenings, and wake after sleep onset were assessed by PROMs and actigraphy. Sleep quality was assessed by the Pittsburgh Sleep Quality Index (PSQI) (range; 0-21), where higher scores indicate worse sleep quality.

RESULTS

Forty patients were monitored. Median age was 70, median oral morphine equivalent dose was 80 mg/24 h (10-1725), median Karnofsky Performance Score was 50 (20-90), and median time to death from inclusion was 38 days (4-319). Mean PSQI score was 6.5 (SD ± 3.4). PROMs and actigraphy of mean (SD) sleep onset latency were 46 (± 64) and 35 min (± 61), respectively, while mean time awake at night was 37 (± 35) and 40 min (± 21). PROMs and actigraphy differed on number of awakenings (mean 2 (± 1) vs. 24 (± 15), p ˂ 0.001). Bland-Altman plots showed large individual differences between PROMs and actigraphy. PSG was not feasible.

CONCLUSIONS

PROMs and actigraphy documented poor sleep quality, but a lack of agreement across methods. The study demonstrates a need to improve assessment of sleep quality and treatment of sleep disturbance in hospitalized patients with advanced cancer near end of life.

Traumatic childhood experiences and multiple dimensions of poor sleep among adult women

STUDY OBJECTIVES

Exposure to traumatic childhood experiences (TCEs) may contribute to poor sleep in adulthood. Previous studies have been limited to mainly investigating physical and sexual abuse and did not consider betrayal trauma, or whether the victim regarded the perpetrator as someone socially close to them, the age group at occurrence, and trauma-related distress/anxiety.

METHODS

We used a large cohort of US women, 35-74 years old, enrolled in the Sister Study from 2003 to 2009. Self-reports of specific TCEs occurring before the age of 18 years included sexual, physical, and psychological/emotional trauma; natural disasters; major accidents; and household dysfunction. Participants self-reported average sleep duration (short: <7 hours vs recommended: 7-9 hours), sleep onset latency (SOL) at least 30 vs less than 30 minutes, at least 3 night awakenings once asleep at least 3 times/week (Night awakenings [NA], yes vs no), and napping at least 3 vs less than 3 times/week.

RESULTS

Among 40 082 women, 55% reported a TCE, with 82% reporting betrayal trauma. Compared to women reporting no TCE, women with any TCE were more likely to report short sleep (prevalence ratio [PR] = 1.08, [95% confidence interval (CI) = 1.04 to 1.11]), longer SOL (1.11, [1.06 to 1.16]), frequent NAs (1.06, [1.00 to 1.11]), and frequent napping (1.05, [0.99 to 1.12]). The relationship between experiencing any TCE and short sleep was stronger for TCEs by a perpetrator considered socially close vs not close (1.12, [1.09 to 1.16]), SOL (1.27, [1.22 to 1.33]), NA (1.20, [1.14 to 1.27]), and napping (1.24, [1.17 to 1.32]).

CONCLUSIONS

TCEs were associated with poor sleep in women with greater impact when the perpetrator was regarded as close. More research is warranted to better understand pathways between childhood trauma and sleep health in adulthood to develop effective interventions.

Sedentary Time, Physical Activity, Fitness, and Physical Function in Older Adults: What Best Predicts Sleep Quality?

The aim of this study was to identify the best predictor of sleep quality (SQ) among physical behavior or capacity-related variables, namely physical activity, sedentary time, fitness, and physical function (activities of daily living) of independent elders using a representative sample of Portuguese aged 65 years and older (N = 437). SQ and activities of daily living were evaluated by a questionnaire, sedentary time, and physical activity through accelerometry, and physical fitness by means of the Senior Fitness Test. The logistic regression analysis revealed that activities of daily living measured by the Composite Physical Function was the only explanatory variable discriminating between poor SQ and good SQ. Receiver operating characteristic analysis showed that the best trade-off between sensitivity and specificity to discriminate older adults with poor SQ and good SQ was 20 points in the Composite Physical Function (sensitivity = 57.9%; specificity = 60.9%; area under the curve = 0.600, 95% confidence interval [0.536, 0.665], p = .003). Better physical function seems to be associated with better SQ in independent elders.

Sleep: population epidemiology and concordance in Australian children aged 11-12 years and their parents

OBJECTIVES

To describe objectively measured sleep characteristics in children aged 11-12 years and in parents and to examine intergenerational concordance of sleep characteristics.

DESIGN

Population-based cross-sectional study (the Child Health CheckPoint), nested within the Longitudinal Study of Australian Children.

SETTING

Data were collected between February 2015 and March 2016 across assessment centres in Australian major cities and selected regional towns.

PARTICIPANTS

Of the participating CheckPoint families (n=1874), sleep data were available for 1261 children (mean age 12 years, 50% girls), 1358 parents (mean age 43.8 years; 88% mothers) and 1077 biological parent-child pairs. Survey weights were applied and statistical methods accounted for the complex sample design, stratification and clustering within postcodes.

OUTCOME MEASURES

Parents and children were asked to wear a GENEActive wrist-worn accelerometer for 8 days to collect objective sleep data. Primary outcomes were average sleep duration, onset, offset, day-to-day variability and efficiency. All sleep characteristics were weighted 5:2 to account for weekdays versus weekends. Biological parent-child concordance was quantified using Pearson's correlation coefficients in unadjusted models and regression coefficients in adjusted models.

RESULTS

The mean sleep duration of parents and children was 501 min (SD 56) and 565 min (SD 44), respectively; the mean sleep onset was 22:42 and 22:02, the mean sleep offset was 07:07 and 07:27, efficiency was 85.4% and 84.1%, and day-to-day variability was 9.9% and 7.4%, respectively. Parent-child correlation for sleep duration was 0.22 (95% CI 0.10 to 0.28), sleep onset was 0.42 (0.19 to 0.46), sleep offset was 0.58 (0.49 to 0.64), day-to-day variability was 0.25 (0.09 to 0.34) and sleep efficiency was 0.23 (0.10 to 0.27).

CONCLUSIONS

These normative values for objective sleep characteristics suggest that, while most parents and children show adequate sleep duration, poor-quality (low efficiency) sleep is common. Parent-child concordance was strongest for sleep onset/offset, most likely reflecting shared environments, and modest for duration, variability and efficiency.

Development of sleep patterns in children with obese and normal-weight parents

AIM

To study the sleep development and sleep characteristics in children at different obesity risks, based on parental weight, and also to explore their weekday-weekend sleep variations and associated family factors.

METHODS

A total of 145 children participating in a longitudinal obesity prevention project were included, of which 37 had normal-weight parents (low obesity risk), and 108 had overweight/obese parents (high obesity risk). Sleep diaries at ages 1 and 2 years were used to study sleep development in children at different obesity risks. Objectively assessed sleep using an accelerometer at 2 years of age was used to analyse weekday-weekend sleep variations.

RESULTS

There was no difference in sleep development from age 1 to age 2 among children at different obesity risks, but more children in the high-risk group had prolonged sleep onset latency and low sleep efficiency. At 2 years of age, children in the high-risk group had more weekday-weekend variation in sleep offset (mean difference 18 min, 95% confidence interval (CI) 4-33 min), midpoint of sleep (mean difference 14 min, 95% CI 3-25 min) and nap onset (mean difference 42 min, 95% CI 10-74 min) than children in the low-risk group, after adjusting for other family factors. However, no difference could be detected between groups in weekday-weekend variation in sleep duration.

CONCLUSIONS

Unfavourable sleep characteristics, as well as more variation in sleep schedules, have been observed in children at high obesity risk. While the differences were relatively small, they may reflect the unfavourable sleep hygiene in families at high obesity risk.

Subjective Sleep Quality is not Associated with Incident Dementia: The Rotterdam Study

BACKGROUND

Poor sleep is related to higher dementia risk, but this association is more equivocal for subjective sleep quality specifically. This study investigates the link between subjective sleep quality and dementia risk in the general population.

OBJECTIVE

To study the role of subjective sleep quality in the risk of dementia in the general population.

METHODS

In the prospective population-based Rotterdam Study, 4,835 persons (mean age 72 years, 58% women) underwent a home interview (2002- 2006) that included the validated Pittsburgh Sleep Quality Index (PSQI) to assess sleep quality. Participants were followed until 2015 for incident dementia, through in-person screening and continuous monitoring of medical records. We used Cox regression models to associate sleep quality with dementia risk, adjusting for age, sex, education, smoking, employment, coffee consumption, alcohol consumption, activities of daily living, cardiovascular risk factors, anxiety, depressive symptoms, cognition, and snoring.

RESULTS

During 41,385 person-years (8.5 years mean), 420 participants developed dementia, of whom 320 Alzheimer's disease (AD). Poorer subjective sleep quality was not associated with the risk of all-cause dementia (hazard ratio [HR] per SD increase in PSQI score: 0.91, 95% CI 0.82- 1.02) or AD (HR 0.92, 95% CI 0.81- 1.05). Similarly, individual components of the PSQI were also not associated with dementia. Several sensitivity analyses, i.e., excluding last years of the follow-up time duration or restricting to those with best MMSE scores at baseline, did not reveal subgroups with increased risks.

CONCLUSION

In this study, we found no association of poor subjective sleep quality with higher risk of dementia.

Posttraumatic stress disorder symptoms and sleep in the daily lives of World Trade Center responders

Sleep disturbances are common in posttraumatic stress disorder (PTSD) and can have major impacts on workplace performance and functioning. Although effects between PTSD and sleep broadly have been documented, little work has tested their day-to-day temporal relationship particularly in those exposed to occupational trauma. The present study examined daily, bidirectional associations between PTSD symptoms and self-reported sleep duration and quality in World Trade Center (WTC) responders oversampled for PTSD. WTC responders (N = 202; 19.3% with current PTSD diagnosis) were recruited from the Long Island site of the WTC health program. Participants were administered the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV; SCID; First, Spitzer, Gibbon, & Williams, 1997) and completed daily assessments of PTSD symptoms, sleep duration and sleep quality for 7 days. PTSD symptoms on a given day were prospectively associated with shorter sleep duration (β = -.13) and worse sleep quality (β = -.18) later that night. Reverse effects were also significant but smaller, with reduced sleep duration (not quality) predicting increased PTSD the next day (β = -.04). Effects of PTSD on sleep duration and quality were driven by numbing symptoms, whereas effects of sleep duration on PTSD were largely based on intrusion symptoms. PTSD symptoms and sleep have bidirectional associations that occur on a daily basis, representing potential targets to disrupt maintenance of each. Improving PTSD numbing symptoms may improve sleep, and increasing sleep duration may improve intrusion symptoms in individuals with exposure to work-related traumatic events. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Time-Restricted Eating to Prevent and Manage Chronic Metabolic Diseases

Molecular clocks are present in almost every cell to anticipate daily recurring and predictable changes, such as rhythmic nutrient availability, and to adapt cellular functions accordingly. At the same time, nutrient-sensing pathways can respond to acute nutrient imbalance and modulate and orient metabolism so cells can adapt optimally to a declining or increasing availability of nutrients. Organismal circadian rhythms are coordinated by behavioral rhythms such as activity-rest and feeding-fasting cycles to temporally orchestrate a sequence of physiological processes to optimize metabolism. Basic research in circadian rhythms has largely focused on the functioning of the self-sustaining molecular circadian oscillator, while research in nutrition science has yielded insights into physiological responses to caloric deprivation or to specific macronutrients. Integration of these two fields into actionable new concepts in the timing of food intake has led to the emerging practice of time-restricted eating. In this paradigm, daily caloric intake is restricted to a consistent window of 8-12 h. This paradigm has pervasive benefits on multiple organ systems.

Accuracy of Fitbit Wristbands in Measuring Sleep Stage Transitions and the Effect of User-Specific Factors

BACKGROUND

It has become possible for the new generation of consumer wristbands to classify sleep stages based on multisensory data. Several studies have validated the accuracy of one of the latest models, that is, Fitbit Charge 2, in measuring polysomnographic parameters, including total sleep time, wake time, sleep efficiency (SE), and the ratio of each sleep stage. Nevertheless, its accuracy in measuring sleep stage transitions remains unknown.

OBJECTIVE

This study aimed to examine the accuracy of Fitbit Charge 2 in measuring transition probabilities among wake, light sleep, deep sleep, and rapid eye movement (REM) sleep under free-living conditions. The secondary goal was to investigate the effect of user-specific factors, including demographic information and sleep pattern on measurement accuracy.

METHODS

A Fitbit Charge 2 and a medical device were used concurrently to measure a whole night's sleep in participants' homes. Sleep stage transition probabilities were derived from sleep hypnograms. Measurement errors were obtained by comparing the data obtained by Fitbit with those obtained by the medical device. Paired 2-tailed t test and Bland-Altman plots were used to examine the agreement of Fitbit to the medical device. Wilcoxon signed-rank test was performed to investigate the effect of user-specific factors.

RESULTS

Sleep data were collected from 23 participants. Sleep stage transition probabilities measured by Fitbit Charge 2 significantly deviated from those measured by the medical device, except for the transition probability from deep sleep to wake, from light sleep to REM sleep, and the probability of staying in REM sleep. Bland-Altman plots demonstrated that systematic bias ranged from 0% to 60%. Fitbit had the tendency of overestimating the probability of staying in a sleep stage while underestimating the probability of transiting to another stage. SE>90% (P=.047) was associated with significant increase in measurement error. Pittsburgh sleep quality index (PSQI)<5 and wake after sleep onset (WASO)<30 min could be associated to significantly decreased or increased errors, depending on the outcome sleep metrics.

CONCLUSIONS

Our analysis shows that Fitbit Charge 2 underestimated sleep stage transition dynamics compared with the medical device. Device accuracy may be significantly affected by perceived sleep quality (PSQI), WASO, and SE.

Daily interpersonal stress, sleep duration, and gene regulation during late adolescence

BACKGROUND

Psychological stress and poor sleep are associated with a wide range of negative health outcomes, which are thought to be mediated in part by alterations in immune processes. However, the molecular bases of links among stress, sleep, and immune processes are not completely understood, particularly during adolescence when sensitivity to stress and problems with sleep tend to increase. In the current study, we investigated whether various stressors (daily stress, major life events, perceived stress), sleep indices (duration, efficiency), and their interactions (e.g., moderating effects) are associated with expression of genes bearing response elements for transcription factors that regulate inflammatory and anti-viral processes.

METHOD

Eighty-seven late adolescents completed daily checklists of their social experiences across a 15-day period and reported on their major life events during the previous year. They also completed actigraphy-based assessments of sleep quality and duration during 8 consecutive nights. An average of 5.5 months later, participants reported on their global perceptions of stress during the previous month and provided blood samples for genome-wide expression profiling of mRNA from peripheral blood mononuclear cells (PBMCs).

RESULTS

Higher levels of daily interpersonal stress and shorter sleep duration were associated with upregulation of inflammation-related genes bearing response elements for proinflammatory transcription factor nuclear factor kappa B (NF-κB). Shorter sleep duration was also linked to downregulation of antiviral-related genes bearing response elements for interferon response factors (IRFs). Lastly, there was a significant interaction between daily stress and shorter sleep duration, such that the association between daily stress and inflammation-related gene expression was exacerbated in the context of shorter sleep duration. Results were independent of sex, ethnicity, parent education, body mass index, and smoking and alcohol history.

CONCLUSION

Everyday interpersonal stress and shortened sleep can be consequential for upstream NF-κB signaling pathways relevant to inflammatory processes during late adolescence. Notably, the occurrence of both may lead to even greater activation of NF-κB signaling.

Developmental trends in sleep during adolescents' transition to young adulthood

OBJECTIVE

Poor sleep poses negative health consequences for youth, yet few longitudinal actigraphy studies have examined basic developmental trends in sleep across adolescents' transition to young adulthood. In this longitudinal actigraphy study, stability of individual differences and trajectories of sleep during and after high school were examined. The degree to which sleep trajectories differed by college attendance status was also studied.

METHODS

A total of 343 youth with Asian, Latino, and European American backgrounds completed eight days of wrist actigraphy at two-year intervals in Wave 1 (n = 295, M_age = 16.39), Wave 2 (n = 211 including 34 new participants to refresh the sample, M_age = 18.31), and Wave 3 (n = 144, M_age = 20.29). Sleep duration, efficiency, and latency were estimated for weekdays and weekends. Intra-individual variability in duration across nights was also obtained.

RESULTS

Sleep parameters were correlated modestly between Wave 1 and Wave 2, but not correlated between Wave 1 and Wave 3, indicating modest shorter-term and little longer-term stability of individual differences. Multilevel growth models demonstrated declines in weekday sleep duration and efficiency across high school and post-high school years. Intra-individual variability in duration increased over the years. Latency trajectories changed more for non-college attendees compared with college attendees.

CONCLUSIONS

Overall the findings suggest developmental trends of worsening sleep during adolescents' transition to young adulthood. Interventions to improve sleep may need to target specific issues faced by youth at that particular period in their lives.

Telecommunication devices use, screen time and sleep in adolescents

PURPOSE

To investigate the association between telecommunication and other screen devices use and subjective and objective sleep measures in adolescents at 17-18 years.

METHODS

Cross-sectional study on adolescents aged 17-18 years from a Spanish population-based birth cohort established in Menorca in 1997-1998. Information on devices use was collected using self-reported questionnaires. Mobile Phone Problematic Use Scale was used to assess mobile phone use dependency. Pittsburgh Sleep Quality Index was used to assess subjective sleep (n = 226). ActiGraph wGT3X-BT for 7 nights was used to assess objective sleep (n = 110).

RESULTS

One or more cordless phone calls/week was associated with a lower sleep quality [Prevalence Ratio (PR) 1.30 (95%Confidence Interval (CI) 1.04; 1.62)]. Habitual and frequent problematic mobile phone use was associated with a lower sleep quality [PR 1.55 (95%CI 1.03; 2.33) and PR 1.67 (95%CI 1.09; 2.56), respectively]. Higher tablet use was associated with decreased sleep efficiency and increased minutes of wake time after sleep onset [β-1.15 (95%CI -1.99; -0.31) and β 7.00 (95%CI 2.40; 11.60) per increase of 10 min/day of use, respectively]. No associations were found between other devices and sleep measures.

CONCLUSIONS

Frequency of cordless phone calls, mobile phone dependency, and tablet use were related to an increase of subjective and objective sleep problems in adolescents. These results seem to indicate that sleep displacement, mental arousal, and exposure to blue light screen emission might play a more important role on sleep than a high RF-EMF exposure to the brain. However, more studies are needed assessing personal RF-EMF levels to draw conclusions.

Sleep characteristics in young adults with type 1 diabetes

Only 14% of young adults with Type 1 Diabetes (T1D) achieve targets for glycemic control (HbA1C < 7.0%), with deterioration over time. Complex cognitive processes required to manage glycemia are vulnerable to sleep deficiency. Using Whittemore and Knafl's approach, we conducted an integrative review of research literature on sleep characteristics and glycemia in these young adults. Quality was assessed using the Mixed Methods Appraisal Tool (v. 2011). Multiple databases were searched for articles published in English in peer-reviewed journals from 2003 to 2018, using search terms 'sleep' and 'T1D' with age limiters 18-40. Of 218 studies initially retrieved, 17 original studies met the inclusion criteria. The following themes were identified in young adults with T1D: (1) They had poorer objective and subjective sleep quality, more variability, and impaired awakening response to hypoglycemia compared with controls; (2) They had poorer glycemic control that was associated with shorter sleep duration, poorer sleep quality, and less time in deep sleep; and (3) Hypoglycemia negatively impacted diabetes management, sleep quality, and next day functioning. Sleep deficiency, as indicated by short sleep duration is associated with a range of negative health outcomes for people with T1D; therefore, optimizing sleep should be a priority in practice and research.

BaSIQS - basic scale on insomnia complaints and quality of sleep: reliability, norms, validity, and accuracy studies, based on clinical and community samples

This research focused on the Basic Scale on Insomnia Symptoms and Quality of Sleep (BaSIQS), formerly validated in undergraduates using the Pittsburgh Sleep Quality Index (PSQI), and aimed to expand internal consistency analysis, examine thoroughly its validity, and determine its clinical accuracy. Considering objective and subjective measures, recruiting non-clinical and clinical samples, this research implemented a comprehensive approach to examine convergent and discriminant validity, confirmatory factor analyses, and the BaSIQS sensitivity and specificity. The BaSIQS was filled out along with the Insomnia Severity Index (ISI), questions on sleep-wake schedules, Composite Scale of Morningness (CSM) and Brief Symptom Inventory-18 (BSI-18) by 1198 adults, 18-64 years old, plus another 30 who wore actimeters, recruited in community settings. A clinical group of 30 chronic insomnia disorder patients also participated. Cronbach alpha coefficient was 0.80. A two-factor structure was confirmed. The association between BaSIQS and ISI was large, whereas actigraphy correlations were medium or small. Medium to non-significant correlations were found concerning conceptually different self-report measures. Comparing the clinic and control groups, the former showed poorer sleep, with a large effect size. Receiver operating characteristic analysis revealed an area under curve = 0.9, and an optimal cut-off score >15. In conclusion, results on reliability, validity, and accuracy provide support to the utility of the BaSIQS both in community and clinical settings, for research and practical purposes.

Impact of transcutaneous electrical nerve stimulation on sleep in chronic low back pain: a real-world retrospective cohort study

Objective

The purpose of this study was to determine if transcutaneous electrical nerve stimulation (TENS) improves sleep in chronic low back pain (CLBP).

Background

There is uncertainty over the effectiveness of TENS in CLBP. In most studies, pain intensity has been the primary outcome measure. Although sleep abnormalities are common in CLBP, sleep outcomes have not been evaluated in most studies of TENS effectiveness. Subjective and objective sleep measures are often inconsistent in CLBP, suggesting that perception of sleep and actual sleep may differ.

Methods

This retrospective cohort study evaluated TENS for CLBP over 10 weeks. The source database included demographics, pain characteristics, pain intensity and interference on an 11-point numerical rating scale, adherence and actigraphic sleep data from real-world TENS users. Key inclusion criteria were CLBP with self-reported history of back injury and baseline pain interference with sleep ≥4. Study participants were stratified into improved and unimproved groups based on changes in pain interference with sleep (improved ≥1-point decrease). Actigraphic sleep metrics were compared between the two groups for weeks 1–2 and weeks 9–10.

Results

The inclusion criteria were met by 554 TENS users. There were 282 (50.9%) participants in the improved group and 272 (49.1%) in the unimproved group. The two groups had similar baseline characteristics and high TENS adherence. At the weeks 1–2 assessment, there were no differences among actigraphic sleep. At the weeks 9–10 assessment, there was a difference in total sleep time, with the improved group sleeping 29 minutes longer. In addition, the periodic leg movement (PLM) index was lower in the improved group.

Conclusion

Regular TENS improved self-reported and objective sleep measures in individuals with CLBP. When compared to the unimproved group, the improved group had longer total sleep time and fewer PLMs. Sleep may be an important outcome for TENS effectiveness in CLBP.

The Moderating Role of Parents' Dysfunctional Sleep-Related Beliefs Among Associations Between Adolescents' Pre-Bedtime Conflict, Sleep Quality, and Their Mental Health

STUDY OBJECTIVES

The current study's aim was to examine the indirect effect of parent-child pre-bedtime arguing about the bedtime process on adolescents' symptoms of anxiety and depression via the mediating role of adolescents' sleep quality. In addition, this study sought to test this mediation model across different levels of both parents' and children's dysfunctional sleep-related beliefs (ie, moderated mediation).

METHODS

A total of 193 adolescent (mean age = 15.7 years, standard deviation [SD] = .94; 54.4% female) and parent dyads completed both baseline, online surveys, and online 7-day, twice-daily sleep diaries. Parents (mean age = 47.6 years, SD = 5.4; 80% female) reported daily for 7 days on the intensity of any conflict regarding the adolescents' bedtime process, and adolescents completed daily reports of their sleep duration and quality (morning diary) and their anxiety and depressive symptoms (evening diary).

RESULTS

Results suggested that adolescent sleep quality mediated the indirect association between parent-child pre-bedtime arguing and adolescents' anxiety and depressive symptoms. Furthermore, this mediation model was moderated by parents' dysfunctional sleep-related beliefs. Only in families with parents reporting either average or above-average (+1 SD) levels of dysfunctional beliefs did this mediation model emerge as significant.

CONCLUSIONS

Results provide further evidence for the essential role of the family environment in adolescent sleep and well-being, and they suggest that parents' dysfunctional sleep-related cognitions put adolescents at risk for a negative cascade stemming from arguing over bedtime to poor-quality sleep and its negative consequences on their mental health.

Stress and sleep remain significant predictors of health after controlling for negative affect

Prior research has shown that the predictive power of a stress-health model can be improved by the addition of sleep as a predictor variable. However, negative affect (NA) may act as a confounding variable in stress-health relationships: a source of bias that potentially inflates the observed relationship between stress and health. The current study examines whether stress and sleep remain significant predictors of health after controlling for trait NA. An online survey containing well-established measures of stress, sleep, health, and NA was completed by 460 undergraduates. Hierarchical regression analyses revealed that stress and sleep remained significant predictors of self-reported health after controlling for the effects of NA. Our findings support the notion that stress-health models can be improved by the integration of sleep as an additional predictor variable and demonstrate that the stress/sleep-health relationships are not fully explained by dispositional NA. From a theoretical perspective, the inclusion of NA measures allows researchers to tease apart the unique contributions of predictor variables. This knowledge can subsequently be put to the test with greater confidence in the design of interventions that seek to improve health through stress reduction and improved sleep.

Cross-sectional analysis of sleep hours and quality with sex hormones in men

BACKGROUND

Reduced total hours of sleep and low quality of sleep have been suggested to be associated with low levels of male hormones. Few studies have examined the association between excessive sleep and male reproductive hormones.

OBJECTIVE

To investigate the association of total hours of sleep and quality of sleep with serum levels of total, bioavailable and free testosterone (tT, bT and fT), sex hormone-binding globulin (SHBG) and dehydroepiandrosteron-sulfate (DHEAS).

METHODS

Serum levels of tT, SHBG and DHEAS were measured with immunoassays in a cross-sectional population-based study of 2095 males. bT and fT were calculated in accordance with Vermeulens method. Information on total hours of sleep and sleep quality was obtained by questionnaire. Linear regression was used to calculate hormones according to total hours of sleep and the results were expressed as β-estimates and 95% confidence intervals (CI). The adjustment in the multivariable models was constructed taking age, BMI, smoking, alcohol intake and physical activity into account.

RESULTS

Excessive sleep (>9 h) compared to 7-9 h of sleep was significantly associated with lower tT, bT and fT, but not with SHBG or DHEAS, after multivariable adjustment. These significant associations were also found in our analyses with hormones as continuous variables but no associations were found in our general additive model analyses.

CONCLUSIONS

In this cross-sectional study in men, excessive sleep associated with lower levels of male reproductive hormones. Longitudinal studies are needed to determine the causal direction of the observed association between excessive sleep and lower male reproductive hormones levels.

Which parameters to use for sleep quality monitoring in team sport athletes? A systematic review and meta-analysis

Background

Sleep quality is an essential component of athlete's recovery. However, a better understanding of the parameters to adequately quantify sleep quality in team sport athletes is clearly warranted.

Objective

To identify which parameters to use for sleep quality monitoring in team sport athletes.

Methods

Systematic searches for articles reporting the qualitative markers related to sleep in team sport athletes were conducted in PubMed, Scopus, SPORTDiscus and Web of Science online databases. The systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. For the meta-analysis, effect sizes with 95% CI were calculated and heterogeneity was assessed using a random-effects model. The coefficient of variation (CV) with 95% CI was also calculated to assess the level of instability of each parameter.

Results

In general, 30 measuring instruments were used for monitoring sleep quality. A meta-analysis was undertaken on 15 of these parameters. Four objective parameters inferred by actigraphy had significant results (sleep efficiency with small CV and sleep latency, wake episodes and total wake episode duration with large CV). Six subjective parameters obtained from questionnaires and scales also had meaningful results (Pittsburgh Sleep Quality Index (sleep efficiency), Likert scale (Hooper), Likert scale (no reference), Liverpool Jet-Lag Questionnaire, Liverpool Jet-Lag Questionnaire (sleep rating) and RESTQ (sleep quality)).

Conclusions

These data suggest that sleep efficiency using actigraphy, Pittsburgh Sleep Quality Index, Likert scale, Liverpool Jet-Lag Questionnaire and RESTQ are indicated to monitor sleep quality in team sport athletes.

PROSPERO registration number

CRD42018083941.

ActiGraph GT3X+ and Actical Wrist and Hip Worn Accelerometers for Sleep and Wake Indices in Young Children Using an Automated Algorithm: Validation With Polysomnography

Objectives: Our count-scaled algorithm automatically scores sleep across 24 hours to process sleep timing, quantity, and quality. The aim of this study was to validate the algorithm against overnight PSG in children to determine the best site placement for sleep. Methods: 28 children (5-8 years) with no history of sleep disturbance wore two types of accelerometers (ActiGraph GT3X+ and Actical) at two sites (left hip, non-dominant wrist) for 24-h. Data were processed using the count-scaled algorithm. PSG data were collected using an in-home Type 2 device. PSG-actigraphy epoch sensitivity (sleep agreement) and specificity (wake agreement) were determined and sleep outcomes compared for timing (onset and offset), quantity [sleep period time (SPT) and total sleep time (TST)], and quality metrics [sleep efficiency and waking after sleep onset (WASO)]. Results: Overall, sensitivities were high (89.1% to 99.5%) and specificities low (21.1% to 45.7%). Sleep offset was accurately measured by actigraphy, regardless of brand or placement site. By contrast, sleep onset agreed with PSG using hip-positioned but not wrist-positioned devices (difference ActiGraph : PSG 21 min, P < .001; Actical : PSG 14 min, P < .001). The ActiGraph at the wrist accurately detected WASO and sleep efficiency, but under (-34 min, P < .001) and overestimated (5.8%, P < .001) these at the hip. The Actical under- and over-estimated these variables respectively at both sites. Results for TST varied ranging from significant differences to PSG of -26 to 21 min (ActiGraph wrist and hip respectively) and 9 min (ns) to 59 min for Actical (wrist and hip respectively). Conclusion: Overall the count-scaled algorithm produced high sensitivity at the expense of low specificity in comparison with PSG. A best site placement for estimates of all sleep variables could not be determined, but overall the results suggested ActiGraph GT3X+ at the hip may be superior for sleep timing and quantity metrics, whereas the wrist may be superior for sleep quality metrics. Both devices placed at the hip performed well for sleep timing but not for sleep quality. Differences are likely linked to freedom of movement of the wrist vs the trunk (hip) during overnight sleep.

Associations of health-behavior patterns, mental health and self-rated health

Diet quality, physical activity, alcohol use, smoking, sleep and sitting-time are behaviors known to influence health. The aims of this study were to identify how these behaviors co-occur to form distinct health-behavior patterns, and to investigate the relationship between these patterns, and mental and self-rated health. Members of the Australian 10,000 Steps project were invited to participate in an online survey in November-December 2011. The participants self-reported demographic and behavioral characteristics (fruit and vegetable intake, fast food, soft drink and alcohol consumption, smoking, physical activity, sitting-time and sleep), frequency of mental distress and self-rated health. Latent Class Analysis was used to identify health-behavior patterns. Latent class regression was used to examine relationships between behavior patterns, mental and self-rated health, and socio-demographic and economic factors. Data were analyzed in October 2017. Complete datasets were obtained from 10,638 participants. Four latent classes were identified, characterized by 'Low-Risk Behavior', 'Poor Sleep, Low-Risk Daytime Behavior', 'Sound Sleep, High-Risk Daytime Behavior' and 'High-Risk Behavior'. The latter two classes, both characterized by high-risk daytime behaviors, were associated with poor self-rated health. Participants in classes with high-risk daytime behaviors were more likely to be younger, non-partnered, non-university educated, from lower income households and work longer hours. Classes characterized by poor sleep quality were associated with higher frequency of mental distress. Findings suggest that experiencing poor sleep is partly independent of daytime behaviors, demographic and socioeconomic factors, but has a strong association with mental health.

Prevalence of and risk factors for poor sleep quality among residents in training in KSA

Objectives

This study aimed to identify the prevalence of and risk factors for poor sleep quality among medical residents in KSA.

Methods

A cross-sectional study was conducted on residents in programmes supervised by the Saudi Commission for Health Specialties. An anonymous, self-administered, web-based survey using the Pittsburgh Sleep Quality Index (PSQI) was done. The study received ethical approval from the institutional review board of the King Saud University College of Medicine, Riyadh, KSA.

Results

A total of 1205 residents responded to the survey. A high prevalence of 86.3% of poor sleep quality was recorded. When grouped by specialty, anaesthesia residents had the highest prevalence of poor sleep quality (96%), whereas pathology residents had the lowest prevalence (68.7%). Increased sleep latency was the most common contributor to poor sleep quality, observed in 68.4% of residents at least once a week. Poor sleep quality was further stratified based on median PSQI scores into stages 1 (46.9%) and 2 (39.4%). Using multivariate logistic regression, the age group of those between 27 and 29 years (p = 0.012) covering on-call cases (p ≤ 0.01) or working shifts (p < 0.001) was significantly associated with stage 2 poor sleep quality.

Conclusion

Poor sleep quality is highly prevalent among medical residents in KSA. Increased sleep latency and short sleep duration were the most reported sleep distractors. On-call scheduling and shift work were major risk factors for poor sleep quality. Training programmes should abide by the 80-hour weekly limit and integrate wellness programmes into the curriculum.

A review of developmental consequences of poor sleep in childhood

Sleep is a fairly diverse and complex construct to operationalize in a scientific and naturalistic context. We report a systematic review and meta-analysis of reviews published in the last 5 years on poor sleep and developmental outcomes. Following the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines, 42 articles (or 1117 studies) qualified. They reported outcomes related to poor sleep investigated as sleep disorders (38.1%), sleep 'in general' (26.2%), sleep duration (23.8%), in terms of circadian rhythm (4.8%), intra-individual variability (2.4%), and napping (2.4%). Sleep was primarily subjectively reported (30.2%), yet the methodology of sleep assessment was often neither tabulated nor discussed. Overall, most papers had a health-scope, being primarily weight problems expressed as body mass index. Its relationship with performance was measured with the Wechsler intelligence tests, the child behavior checklist and the continuous performance test, whereas meta-analytic papers specifically focused on cognition with sleep disorder (i.e. sleep-disordered breathing; 38.6%), on health (i.e. weight) with sleep duration (25%) and behavior with sleep 'in general' (15.9%), having a high true variance. Nevertheless, an aggregated effect size d of 0.35 (95% confidence interval: 0.27-0.42) suggests that poor sleep is moderately affecting a child's performance and health. In conclusion, poor sleep can no longer be disregarded, yet methodologies that are more rigorous and a scope beyond health may foster a better understanding of the role of (poor) sleep across childhood neurodevelopment.