Effect of partial and total sleep deprivation on serum testosterone in healthy males: a systematic review and meta-analysis

BackgroundCurrently, there is no consensus on the effect of sleep deprivation on male serum testosterone. This systematic review and meta-analysis aimed to determine the association between partial/total sleep deprivation and male serum testosterone level.MethodsThe literature related to sleep deprivation and male serum testosterone in the PubMed, Embase, and Cochrane Library databases were searched from their inception to July 15, 2021. Data were pooled using the Stata 15 software. The results were presented as standard mean differences (SMDs) with their 95% confidence intervals (CIs).ResultsEighteen studies involving 252 men were included in the systematic review and meta-analysis. The findings revealed that short-term partial sleep deprivation had no significant effect on male serum testosterone (SMD = −0.22; 95% CI: −0.5, 0.06; P = 0.13), while total sleep deprivation reduced the male testosterone levels (SMD = −0.64; 95% CI: −0.87, −0.42; P < 0.001). According to the intervention duration of total sleep deprivation, subgroup analysis was conducted by a fixed-effects model. The results revealed that the serum testosterone was significantly decreased after 24 h total sleep deprivation (SMD = − 0.67; 95% CI = − 0.93, −0.42, P < 0.001), as well as 40–48 h total sleep deprivation (SMD = − 0.74; 95% CI = − 1.22, −0.26, P = 0.002).ConclusionsThis meta-analysis revealed that total sleep deprivation (more than or equal to 24 h) reduces the male testosterone levels, while short-term partial sleep deprivation has no significant effect on male serum testosterone. Sleep duration plays a pivotal role in maintaining male serum testosterone levels.     

Patterns and correlates of sleep duration in the Southern cohort community study

ObjectiveTo investigate whether race (African American (AA) and white) is associated with sleep duration among adults from low socioeconomic (SES) strata and whether SES status, lifestyle behaviors, or health conditions are associated with sleep duration within race-sex groups.MethodsThis cross-sectional study includes 78,549 participants from the Southern Community Cohort Study (SCCS). Averaged daily sleep duration was assessed by weighted averages of self-reported sleep duration on weekdays and weekends. Adjusted odds ratios (ORs) of very short (<5 h/day), short (5–6 h/day), and long sleep (≥9 h/day) associated with pre-selected risk factors in each race-sex group were determined by multinomial logistic models.ResultsThe prevalence of very short and short sleep was similar among AAs (6.2% and 29.1%) and whites (6.5% and 29.1%). Long sleep was considerably more prevalent among AAs (19.3%) than whites (13.0%). Very short sleep was associated with lower education and family income, with stronger associations among whites. Higher physical activity levels significantly decreased odds for both very short (OR = 0.80) and long sleep (OR = 0.78). Smoking, alcohol use, and dietary intake were not associated with sleep duration. Regardless of race or sex, very short, short, and long sleep were significantly associated with self-reported health conditions, especially depression (ORs were 2.06, 1.33, and 1.38, respectively).ConclusionsSleep duration patterns differed between AAs and whites from the underrepresented SCCS population with low SES. Sleep duration was associated with several socioeconomic, health behaviors, and health conditions depending on race and sex.     

Associations of sleep duration,sedentary behaviours and energy expenditure with maternal glycemia in pregnancy

BackgroundWomen with high levels of physical activity (PA) are less likely to develop gestational diabetes mellitus (GDM), but the relations with sleep and sedentary behaviours (SB) are more controversial. We aimed to investigate all three components (sleep, PA, and SB) and their association with maternal glucose in pregnancy.MethodsWe included 766 pregnant women recruited at first trimester and that we followed at second trimester. We collected blood samples, anthropometry and standardized questionnaires about lifestyle including PA, SB, and sleep duration at both visits. Women completed a 50 g glucose challenge test at first trimester and 75-g oral glucose tolerance test (OGTT) at second trimester. We conducted regression analyses to test cross-sectional associations between sleep, PA, and SB with maternal glucose levels while taking into account potential confounders (maternal age, pre-pregnancy body mass index (BMI), gravidity, and smoking). We considered linear and quadratic relationships.ResultsAt first trimester, we observed a linear relationship between shorter sleep duration and higher glucose levels, which was attenuated after adjustments for confounders. At second trimester, we found a quadratic relationship between sleep and glucose showing lowest levels at fasting and 1 h-post OGTT for women who slept 6–10 h/night. This association remained significant after adjusting for confounders and taking into account PA and/or SB. Greater amount of SB was associated with higher 1 h-glucose after adjustment for confounders (β = 0.132; SE = 0.047; P = 0.005).ConclusionsSleep duration is associated with glucose regulation in pregnancy, independently of PA and SB, and this association varies according to the period of gestation.     

The association of sleep quality and night sleep duration with coronary heart disease in a large-scale rural population

ObjectiveThe purposes of the present study were to explore independent and interactive associations between night sleep duration, night sleep quality and coronary heart disease (CHD) based on a rural population in China.MethodsA total of 27,935 participants (11,177 men and 16,758 women) were investigated from the Henan Rural Cohort. Information about sleep was assessed by using the Pittsburgh Sleep Quality Index (PSQI). Restricted cubic splines and logistic regression were used to estimate the relationship between night sleep duration and quality with CHD.ResultAmong the 27,935 participants, 1506 participants with CHD were identified. Compared with participants with scores lower than 3, the odds ratios (ORs) and 95% confidence intervals (95% CIs) of participants with score of 3–5, 6–8, ≥9 were respectively 1.42 (1.24–1.63), 1.99 (1.70–2.33), and 2.56 (2.13–3.08) with full adjustment of covariates. Compared with night sleep duration of 7 h, men and women who slept less than 5 h were 1.55 (1.11–2.17), 1.12 (0.59–2.12) and 1.80 (1.20–2.68), after being adjusted ORs (95% CIs) of the total. Moreover, the ORs and 95% CIs of CHD increased with the shortening of sleep duration at PSQI score above the highlighted levels.ConclusionPoor sleep quality and short night sleep duration were all associated with CHD in Chinese rural areas. Moreover, the association was more obvious in women. In addition, the strongest prevalence of CHD was found in short sleepers with poor sleep quality.     

A meta-analysis of the relationship between subjective sleep and depressive symptoms in adolescence

BackgroundAdolescence is a risk period for the development of mental illness, as well as a time for pronounced change in sleep behaviour. While prior studies, including several meta-analyses show a relationship between sleep and depressive symptoms, there were many inconsistences found in the literature.ObjectiveTo investigate the relationship between subjective sleep and depressive symptoms.MethodsFollowing PRISMA guidelines, we conducted a literature search that yielded forty-nine recent studies (2014–2020) with adolescent samples aged 9 to 25-year-olds, and more than double the sample size of previous meta-analyses (N = 318,256).ResultsIn a series of meta-analyses, we show that while several common categories of subjective sleep are associated with depressive symptoms in adolescents, the strength of this relationship varies. Measures of sleep perception: poor sleep quality (r = 0.41), insomnia (r = 0.37), sleep disturbances (r = 0.36), wake after sleep onset (r = 0.31), and daytime sleepiness (r = 0.30) correlated more strongly with depressive symptoms, than measures of sleep behaviour: sleep latency (r = 0.22), and sleep duration (r = −0.19).ConclusionsThese findings suggest that in studies of depressive symptoms it may be important to assess an adolescent's perception about their sleep, in addition to their sleep/wake behaviours.     

Everyday and major experiences of racial/ethnic discrimination and sleep health in a multiethnic population of U.S. women: findings from the Sister Study

BackgroundPerceived racial/ethnic discrimination and poor sleep occur across all races/ethnicities in the U.S., although both are most common among racial/ethnic minorities. Few studies have investigated associations between perceived racial/ethnic discrimination and various sleep dimensions in a multiethnic population.MethodsWe analyzed cross-sectional associations among 40,038 eligible Sister Study participants (enrollment: 2003–2009) who reported ever/never experiencing specific types of everyday (eg, treated unfairly at a store or restaurant) or major (eg, unfairly stopped, threatened, or searched by police) discrimination attributed to their race/ethnicity during a follow-up survey in 2008–2012. Participants also reported short sleep duration (<7 h), sleep debt (≥2-h difference between longest and shortest sleep duration), frequent napping (≥3 times/week), and insomnia. Poisson regression with robust variance estimation, adjusted for sociodemographic and health characteristics, estimated prevalence ratios (PRs) and 95% confidence intervals (CIs) for the association between each type of racial/ethnic discrimination and each sleep dimension, overall and by race/ethnicity.ResultsMean age was 55 ± 8.9 years, 89% were Non-Hispanic (NH)-white, 8% NH-black, and 3% Hispanic/Latina. NH-black participants were the most likely to report everyday (76% vs. 4% [NH-whites] and 36% [Hispanics/Latinas]) and major racial/ethnic discrimination (52% vs. 2% [NH-whites] and 18% [Hispanics/Latinas]). Participants who experienced both types versus neither were more likely to report short sleep duration (PR = 1.17 [95% CI: 1.09–1.25]) and insomnia symptoms (PR = 1.10 [1.01–1.20]) but not other poor sleep dimensions.ConclusionsRacial/ethnic minority women were most likely to experience racial/ethnic discrimination, which was associated with certain poor sleep dimensions among women of all races/ethnicities.     

Core body temperature changes in school-age children with circadian rhythm sleep–wake disorder

Objective/backgroundCore body temperature (CBT) is considered a valuable marker for circadian rhythm. This study aimed to investigate the changes in CBT that are associated with the symptoms of circadian rhythm sleep–wake disorder (CRSWD) post-treatment in children.Patients/methodsTwenty-eight school-age children [10 boys and 18 girls; mean age (±standard deviation), 13.68 ± 0.93 years] who were admitted to our hospital with CRSWD underwent treatment for 6–8 weeks according to the following protocol: lights-out for sleep at 21:00; phototherapy for waking at 6:00 or 7:00; light exercise everyday (eg, a 20- to 30-min walk). CBT was continuously measured for 24 h on the first day of admission and on the first day after treatment.ResultsThe mean time of sleep onset/offset (±standard deviation; in hours:minutes) 1 week before admission and 1 week after treatment were 23:53 ± 2:26/9:58 ± 2:15 and 21:17 ± 0:19/6:46 ± 0:32, respectively. The mean times of sleep onset and offset measured post-treatment were significantly earlier than those measured pre-treatment (p < 0.001). The mean CBT and mean minimum CBT during sleep were significantly lower on the first day post-treatment than on the first day of admission (p = 0.011 and p < 0.001, respectively).ConclusionsSymptom improvements in patients with CRSWD were associated with a decrease in CBT during sleep, suggesting that CBT may be a biomarker for improvements in CRSWD. These results help elucidate the cause of this sleep disorder.     

Concurrent changes in sleep and physical activity during the transition to retirement: a prospective cohort study

BackgroundCurrently, little is known regarding whether changes in physical activity are associated with changes in sleep in general population. The aim of this study was to examine the association between changes in physical activity and changes in sleep duration and difficulties at retirement transition point.MethodsData from the prospective Finnish Retirement and Aging study of 2745 retired public sector employees was used. Participants answered questionnaires before and after the retirement with one year interval, in which they reported average weekly hours of physical activity, sleep duration and the frequency of sleep difficulties. The level of physical activity, classified as ‘low’, ‘moderate’ or ‘high’, before and after retirement was used to classify the participants to five physical activity groups. Changes in sleep duration (in minutes) and sleep difficulties (no, moderate, severe) were examined in these physical activity groups.ResultsBefore retirement, high physical activity was associated with longest sleep duration (7 h 8 min) and low physical activity was associated with severe sleep difficulties (OR 1.23, 95% CI 1.06–1.44) in comparison to high physical activity. During retirement transition, sleep duration increased in all physical activity change groups and sleep difficulties decreased significantly in ‘stable’, ‘increase from moderate’, ‘decrease from moderate’ and ‘decrease from high’ groups. Changes in sleep duration and sleep difficulties were not statistically significantly different between the physical activity change groups.ConclusionSleep duration increases and sleep difficulties decrease after retirement. Changes in sleep during retirement transition seem to be independent of changes in physical activity during the same time period.     

Weekend catch-up sleep and depression: results from a nationally representative sample in Korea

BackgroundThere is limited information on the association between weekend catch-up sleep (CUS), which has beneficial effects on health, and depression. This study aimed to investigate the association between CUS and depression in adults.MethodsWe used the data of the Seventh Korea National Health and Nutrition Examination Survey, 2016. Depression was defined as Patient Health Questionnaire-9 score ≥10. We categorized CUS duration as ≤0, 0 < to 1, 1 < to 2, and >2 h.ResultsOf 5550 eligible participants, 3286 (54.9%), 1033 (19.5%), 723 (14.7%) and 508 (10.9%) had CUS duration ≤0, 0 < to 1, 1 < to 2, and >2 h, respectively; of these, the prevalence of depression was 7.0%, 4.2%, 2.9%, and 6.0%, respectively. Multivariable regression analyses including covariates revealed that individuals with CUS duration 1 < to 2 h had a significantly decreased risk of depression compared to individuals with CUS duration ≤0 h (odds ratio [OR] = 0.517, 95% CI = 0.309–0.865). Individuals with CUS duration 0 < to 1 h (OR = 0.731, 95% CI = 0.505–1.060) and >2 h (OR = 1.164, 95% CI = 0.718–1.886) showed no significantly different risk of depression.ConclusionsThe risk of depression in individuals with CUS duration 1 < to 2 h was lower than for those with CUS duration ≤0 h. This finding provides a better understanding on the association between CUS and depression; and can be a basis for better management of depression.     

Racial/ethnic disparity in habitual sleep is modified by caloric intake in adolescents

Study objectivesWe investigated the moderation of caloric intake on the association between race/ethnicity and habitual sleep in adolescents.MethodsWe analyzed the data obtained from 324 adolescents who completed the follow-up examination of the Penn State Child Cohort study. We collected actigraphy-measured sleep duration on 7 consecutive nights and computed their mean and standard deviation as habitual sleep duration (HSD) and habitual sleep variability (HSV), respectively. We also measured participants’ daily intakes of total calorie, total fat, carbohydrates, and protein, through the Youth/Adolescent Food Frequency Questionnaire. Adjusted mean HSD and HSV among non-Hispanic whites and racial/ethnic minorities were compared by using analysis of covariance (ANCOVA), while controlling for age, sex, BMI percentile, total caloric intake, and socioeconomic status. The significance of the interaction between race/ethnicity and caloric intake was further tested in ANCOVA models.ResultsThe study sample consisted of 79.3% non-Hispanic whites, 13.0% African American, 4.6% Hispanics, 2.2% Asian, and 0.9% American Indian. Adolescents who are racial/ethnic minorities showed shorter HSD (mean (SE): 6.80 (0.10) vs. 7.07 (0.05) hours/night, p = 0.02) and higher HSV (mean (SE): 1.31 (0.07) vs. 1.15 (0.04) hours/night, p = 0.04) than non-Hispanic whites. Racial/ethnic differences in HSV were significantly more pronounced among adolescents with high caloric intake (p interaction = 0.01), especially from carbohydrates (p interaction = 0.03) and fat (p interaction = 0.05).ConclusionAdolescents who are racial/ethnic minorities slept objectively shorter and with greater night-to-night variability than non-Hispanic whites. The racial/ethnic disparity in habitual sleep variability was more pronounced among adolescents with high caloric intake, particularly from carbohydrates and fat.     

Social jetlag is associated with cardiorespiratory fitness in male but not female adolescents

IntroductionCardiorespiratory fitness (CRF) is a vital sign that can improve risk classification for adverse health outcomes. While lifestyle-related factors are associated with CRF, few have examined the influence of sleep characteristics, especially in youths. Social jetlag, a mismatch between one's biological clock and sleep schedule, is prevalent in adolescents and associated with increased adiposity, though its relationship with CRF is unclear.ObjectiveTo quantify the relationship between social jetlag and CRF, independent of other sleep characteristics.MethodsThis cross-sectional sample includes 276 New Zealand adolescents (14–18 years, 52.5% female). CRF (VO_2max) was estimated from a 20-m multi-stage shuttle run. Average sleep duration, sleep disturbances, social jetlag, physical activity, and the number of bedroom screens were estimated from validated self-report surveys. Social jetlag is the difference in hours between the midpoint of sleep during weekdays (school) and weekend days (free). Combined and sex-stratified linear regression assessed the association between sleep outcomes and CRF, controlling for relevant covariates.ResultsMales slept 17.6 min less, had less sleep disturbances, and a 25.1-min greater social jetlag than their female peers (all p < 0.05). A 1-h increase in social jetlag was associated with a 0.72 ml/kg/min decrease in VO_2max (95% CI: −1.31, −0.14), independent of other sleep variables, which were not associated with CRF. Sex-specific models indicated an association in males (B −0.93, 95% CI: −1.76, −0.09), but not females (B −0.32, 95% CI: −1.18, 0.55).ConclusionsSocial jetlag is negatively associated with CRF in adolescent males and may be a simple, measurable target for public health interventions.     

Sleep time and sleep-related symptoms across two generations – results of the community-based RHINE and RHINESSA studies

Study objectivesTo analyze the association between sleep-related symptoms and sleep length in parents and their children in relation to other risk factors in both generations.MethodThe participants were parents (n = 5,855, age 54.3 ± 6.5 years, 45.2% men) who participated in the community-based Respiratory Health in Northern Europe (RHINE) study and one random member of their adult offspring (n = 5,855, age 30.2 ± 7.7 years, 41.5% men) who participated in the Respiratory Health in Northern Europe, Spain and Australia (RHINESSA) study. Both generations responded to identical questionnaires on sleep symptoms, including difficulty initiating sleep (DIS), difficulty maintaining sleep (DMS), early morning awakening (EMA), snoring, nocturnal sweating, nocturnal gastroesophageal reflux (nGER), sleep time and excessive daytime sleepiness (EDS). Insomnia was defined as either, or both, DIS and DMS in combination with EDS.ResultsAll sleep variables except nocturnal sweating were more common in offspring whose parents had reported the same symptom. After adjusting for age, gender, BMI, smoking, physical activity, education, center and parents' total number of children, there were independent associations between sleep symptoms in parents and offspring for DIS (adj. OR, 95% CI: 1.52, 1.20–1.93), DMS (1.34, 1.15–1.56), snoring (1.45, 1.15,1.83), nGER (1.65, 1.15–2.37), insomnia (1.39, 1.13–1.73), short sleep time (<6 h/night) (2.51, 1.72–3.68) and EDS (1.48, 1.26,1.72). There were no independent relationships between symptoms in parents and offspring for EMA, nocturnal sweating or long sleep time (>9 h/night).ConclusionThe familiar aggregation of many sleep disturbances was not explained by investigated lifestyle and environmental factors. This supports a heritable factor in sleep problems.     

The effectiveness of diaphragmatic breathing relaxation training for improving sleep quality among nursing staff during the COVID-19 outbreak: a before and after study

ObjectivesRecent studies have demonstrated that first-line nurses involved in the coronavirus disease-2019 (COVID-19) crisis may experience sleep disturbances. As breathing relaxation techniques can improve sleep quality, anxiety, and depression, the current study aimed to evaluate the effectiveness of diaphragmatic breathing relaxation training (DBRT) for improving sleep quality among nurses in Wuhan, China during the COVID-19 outbreak.MethodsThis study used a quasi-experimental (before and after) intervention strategy, with 151 first-line nurses from four wards in Leishenshan hospital. The Pittsburgh Sleep Quality Index (PSQI), Self-Rating Anxiety Scale (SAS), and Self-Rating Depression Scale (SDS) to evaluate the effectiveness of DBRT before and after the intervention. Data were examined using the Shapiro–Wilk test, Levene's test, and paired t-test.ResultsA total of 140 nurses completed the DBRT sessions. First-line nurses achieved significant reductions in global sleep quality (p < 0.01), subjective sleep quality (p < 0.001), sleep latency (p < 0.01), sleep duration (p < 0.001), sleep disturbances (p < 0.001), habitual sleep efficiency (p = 0.015), daytime dysfunction (p = 0.001), and anxiety (p = 0.001). There were no significant reductions in the use of sleeping medication (p = 0.134) and depression (p = 0.359).ConclusionDBRT is a useful non-pharmacological treatment for improving sleep quality and reducing anxiety among first-line nurses involved in the COVID-19 outbreak.The study protocol was clinically registered by the Chinese Clinical Trial Registry. Clinical Trial Registration number: ChiCTR2000032743.     

Social jetlag is associated with obesity-related outcomes in 9–11-year-old children,independent of other sleep characteristics

IntroductionSocial jetlag has been reported to predict obesity-related indices, independent of sleep duration, with associations in female adolescents but not males. However, such sex-specific relationships have not been investigated in pre-adolescents.ObjectivesTo examine: (i) the relationships between sleep characteristics, including social jetlag, and obesity-related outcomes during childhood, and (ii) whether these relationships are moderated by sex.MethodsThis cross-sectional study included 381 children aged 9–11 years (49.6% female). Average sleep duration, social jetlag, and physical activity were assessed via wrist-worn accelerometry. Sleep disturbances were quantified from the Children's Sleep Habits Questionnaire. Obesity-related outcomes included age-specific body mass index Z-scores (zBMI) and waist-to-height ratio. Additionally % fat, total fat mass, and fat mass index were assessed via bioelectrical impedance analysis. Linear mixed models that nested children within schools were used to identify relationships among sleep characteristics and obesity-related outcomes.ResultsPositive associations between social jetlag with zBMI, % fat, and fat mass index were seen in univariable and unadjusted multivariable analyses. Following adjustments for known confounders, social jetlag remained significantly associated with zBMI (β = 0.12, p = 0.013). Simple slopes suggested a positive association in girls (β = 0.19, p = 0.006) but not in boys (β = 0.03, p = 0.703).ConclusionsObesity prevention efforts, particularly in girls, may benefit from targeted approaches to improving the consistency of sleep timing in youth.     

A randomized,double blind,placebo controlled study to evaluate the effects of ashwagandha (Withania somnifera) extract on sleep quality in healthy adults

ObjectiveNon-restorative sleep (NRS) affects 10% people worldwide, leading to poor sleep quality, as well as physical and cognitive fatigue. This is the first human study in which an extract of ashwagandha (Withania somnifera Dunal L.) was evaluated for effects in improving overall sleep quality in subjects with NRS.MethodsIn this randomized, double-blind, placebo-controlled trial, 150 healthy subjects scoring high on non-restorative sleep measures were given 120 mg of standardized ashwagandha extract (Shoden®) once daily for six weeks. Subjects were evaluated using the Restorative Sleep Questionnaire-weekly version and World Health Organization Quality of Life-Bref (WHOQOL) scale. Sleep actigraphy was used to measure the onset of sleep latency, sleep efficiency, total sleep time and wake after sleep onset. Safety of the treatment was determined by testing of vitals, hematology, biochemistry and urinalysis.ResultsA total of 144 subjects completed the study, with no dropouts due to adverse events. A 72% increase in self-reported sleep quality was found for the treatment group, compared with 29% in the placebo group (p < 0.001). Based on activity monitoring data, the treatment group showed significant improvement in sleep efficiency (SE) (p < 0.01), total sleep time (p < 0.001) and sleep latency (p < 0.01) and wake after sleep onset (WASO) (p < 0.05) versus placebo after six weeks. In the ashwagandha group quality of life (QOL) scores showed significant improvement in physical (p < 0.001), psychological (p < 0.001), and environment domains (p < 0.01).ConclusionsSupplementation with the standardized ashwagandha extract for six weeks improved the overall quality of sleep by significantly improving the NRS condition in healthy subjects. No treatment related adverse events were reported in the study.Trial registrationClinical Trials Registry-India (www.ctri.nic.in). Registration number: CTRI/2017/02/007801.     

Efficacy of pitolisant in patients with high burden of narcolepsy symptoms: pooled analysis of short-term,placebo-controlled studies

Study objectiveTo evaluate the efficacy of pitolisant, a histamine 3 (H₃)-receptor antagonist/inverse agonist, in adult patients with high burden of narcolepsy symptoms.MethodsData were pooled from two randomized, placebo-controlled, 7- or 8-week studies of pitolisant (titrated to a potential maximum dose of 35.6 mg/day) in adults with narcolepsy. Analyses included three independent patient subgroups: Epworth Sleepiness Scale (ESS) baseline score ≥16, Maintenance of Wakefulness Test (MWT) sleep latency ≤8 min, and ≥15 cataplexy attacks per week.ResultsThe analysis populations included 118 patients for ESS (pitolisant, n = 60; placebo, n = 58), 105 for MWT (pitolisant, n = 59; placebo, n = 46), and 31 for cataplexy (pitolisant, n = 20; placebo, n = 11). On the ESS, least-squares mean change from baseline was significantly greater for pitolisant (−6.1) compared with placebo (−2.3; P < 0.001). Significantly more pitolisant-treated patients were classified as treatment responders: ESS score reduction ≥3, 69.0% in the pitolisant group versus 35.1% in the placebo group (P = 0.001); final ESS score ≤10, 36.2% versus 10.5%, respectively (P = 0.005). On the MWT, mean sleep latency increased from 3.5 min to 10.4 min with pitolisant and from 3.4 min to 6.8 min with placebo (P = 0.017). Least-squares mean change in the weekly rate of cataplexy was significantly greater for pitolisant (−14.5; baseline, 23.9; final, 9.4) compared with placebo (−0.1; baseline, 23.1; final, 23.0; P = 0.004). Headache was the most common adverse event with pitolisant.ConclusionsPitolisant, at once-daily doses up to 35.6 mg, was efficacious for reducing excessive daytime sleepiness and cataplexy in patients with severe narcolepsy symptom burden.     

The prevalence of sleep problems among children in mainland China: a meta-analysis and systemic-analysis

BackgroundWe conducted a meta-analysis and systematic review to identify a reliable estimate of sleep problems prevalence among children in mainland China and to describe its epidemiological characteristics.MethodsRelevant studies were searched thoroughly via electronic databases included China National Knowledge Infrastructure, Wanfang, Weipu, PubMed, Embase and Medline databases from inception until December 2020. Prevalence estimates were calculated by random-effects models. The sources of heterogeneity were explored using subgroup analyses and Meta-regression analysis, and publication bias was estimated by funnel plots and Egger's Test.ResultsOverall, 66 studies were included in this meta-analysis, which revealed that the pooled prevalence of sleep problems was 37.6% (95%CI: 34.3–40.9%) with high heterogeneity (I² = 99.6%,P < 0.001). The incidence of snoring was 7.7%, choking or gasping was 0.9%, apnea was 1.5%, restless sleep was 11.3%, mouth breathing was 4.7%, hyperhidrosis was 17.2%, leg movements was 2.7%, bruxism was 9.6%, sleep talking was 0.7%, sleep-walking was 0.8%, nightmare was 5.1%, enuresis was 3.4%, night awakening was 6.7% and trouble falling asleep was 11.1%. The prevalence rate of sleep problems among males was higher than females (OR:1.01,95%CI:1.05–1.13). In all age groups, the prevalence rates of sleep problems increased with age, including infancy or early childhood group (33.3%), pre-school group (38.9%), school-age group (43.7%). The prevalence rate in South China (30.4%, 95%CI: 23.9–36.8%) was the lowest, and the highest prevalence rate was in West China (47.4%,95%CI:35.9–58.9%), which than any other region in China. The point estimate for sleep disorders prevalence obtained using the CSHQ criterion was higher than other criteria. Meta-regression indicated that age group could influence prevalence estimation (P = 0.011).ConclusionsOver the past two decades, the prevalence rate of sleep problems among children in mainland China has increased, significantly affecting two-fifth of the school-age children. The incidence of hyperhidrosis, restless sleep and trouble falling asleep were significantly higher than other sleep prombles. The prevalence rate of sleep problems in west China was significantly higher than in any other area. There is still a lack of guidelines on children's sleep problems in mainland China, so future research should pay special attention to the sleep problems of school-age children and children in economically backward areas.     

Sleep parameters measured by accelerometry: descriptive analyses from the 22-year follow-up of the Pelotas 1993 birth cohort

ObjectiveTo describe the sleep time window (STW), total sleep time (TST), and sleep percent [SP = (TST/STW) × 100] by accelerometry in a population-based young adult cohort in Brazil.MethodsCross-sectional analysis with a 22-year sample (N = 2462). Sleep variables were measured using an accelerometer. The devices were worn on the non-dominant wrist for approximately seven days. A raw data analysis using the GGIR package was performed. The following sleep variables were extracted: TST, STW, and SP. Linear regression was used to adjust averages. All analyses were stratified according to sex. A comparison between weekday and weekend averages was also conducted.ResultsThe means of TST, STW, and SP for men were 5.9 h, 7.1 h, and 83.1%, respectively. For women, the means of TST, STW, and SP were 6.4 h, 7.6 h, and 84.6%, respectively. Women presented a higher means of all outcomes compared to men (p < 0.001). After adjusting for both sexes, white skin color and not working or studying were associated with higher TST. Individuals not working or studying presented higher means of STW and lower sleep SP. Women with children who were less than two years of age presented lower values of three evaluated outcomes. Regarding behavior and health condition variables, obesity was associated with lower STW only for men. Physical activity was associated with higher SP and risk drinking with lower TST and STW only for women.ConclusionDifferences between sexes were observed in TST, STW, and SP. In all outcomes women presented a higher means. Socioeconomic variables were associated with both sexes, but having children and behavior/health conditions differed between sexes.     

Sleep quality in acromegaly and changes after transsphenoidal surgery: a prospective longitudinal study

ObjectiveTo elucidate the sleep quality characteristics and factors related to either good or poor sleep quality in acromegaly patients before surgery and to explore sleep quality changes after transsphenoidal surgery and the factors related to these changes.MethodsWe prospectively enrolled 39 acromegaly patients and 78 patients with nonfunctioning pituitary adenomas. Scales for anxiety, depression, disease stigma and nasal condition were evaluated. The Pittsburgh Sleep Quality Index (PSQI) questionnaire was administered before surgery as well as one month and three months after surgery.ResultsA higher percentage of acromegaly patients had poor sleep quality compared to controls (35.9% vs. 5.1%, p < 0.001). In addition, acromegaly patients experienced worse subjective sleep quality, extended sleep latency, increased sleep disturbance and decreased daytime functioning. Higher scores for anxiety, disease stigma and sinonasal outcomes were correlated with worse sleep quality in acromegaly patients. At one month after transsphenoidal surgery, we found worse subjective sleep quality, extended sleep latency, shortened sleep duration, impaired sleep efficiency and increased sleep disturbance in acromegaly patients. At three months postoperatively, most impaired PSQI domains in acromegaly patients recovered to preoperative levels. The use of soluble gauze was related to decreased sleep quality at one month after surgery and severe anxiety and depression were related to improved sleep quality at three months after surgery.ConclusionsSleep quality was reduced in acromegaly patients. Moreover, sleep quality initially worsened after surgery but later recovered. Emotional problems and the use of soluble gauze were related factors.Clinical trial registrationNone.