Oliviero Bruni

National Sleep Foundation’s sleep time duration recommendations: methodology and results summary

OBJECTIVE The objective was to conduct a scientifically rigorous update to the National Sleep Foundations sleep duration recommendations. METHODS The National Sleep Foundation convened an 18-member multidisciplinary expert panel, representing 12 stakeholder organizations, to evaluate scientific literature concerning sleep duration recommendations. We determined expert recommendations for sufficient sleep durations across the lifespan using the RAND/UCLA Appropriateness Method. RESULTS The panel agreed that, for healthy individuals with normal sleep, the appropriate sleep duration for newborns is between 14 and 17 hours, infants between 12 and 15 hours, toddlers between 11 and 14 hours, preschoolers between 10 and 13 hours, and school-aged children between 9 and 11 hours. For teenagers, 8 to 10 hours was considered appropriate, 7 to 9 hours for young adults and adults, and 7 to 8 hours of sleep for older adults. CONCLUSIONS Sufficient sleep duration requirements vary across the lifespan and from person to person. The recommendations reported here represent guidelines for healthy individuals and those not suffering from a sleep disorder. Sleep durations outside the recommended range may be appropriate, but deviating far from the normal range is rare. Individuals who habitually sleep outside the normal range may be exhibiting signs or symptoms of serious health problems or, if done volitionally, may be compromising their health and well-being.

The Sleep Disturbance Scale for Children (SDSC) Construct ion and validation of an instrument to evaluate sleep disturbances in childhood and adolescence

SUMMARY To attempt a categorization of sleep disorders in children, we developed a 27 item Likert‐type rating scale (Sleep Disturbance Scale for Children: SDSC) and assessed the psychometric properties was developed. The scale was distributed to the mothers of 1304 children (1157 controls, mean age 9.8y; 147 sleep disorder subjects, mean age 9.2y, composed of four clinical groups: Insomnia 39 subjects, Hypersomnia 12 subjects, Respiratory disturbances during sleep 25 subjects and Parasomnias 71 subjects). The internal consistency was high in controls (0.79) and remained at a satisfactory level in sleep disorder subjects (0.71); the test/retest reliability was adequate for the total (r = 0.71) and single item scores. The factor analysis (variance explained 44.21%) yielded six factors which represented the most common areas of sleep disorders in childhood and adolescence. Enuresis was the only item with a factor loading lower than 0.40 and with a low inter‐item correlation and was therefore eliminated, resulting in a final scale of 26 items. The re‐evaluation of the sample, using the factor scores, supported the validity and the discriminating capacity of the scales between controls and the four clinical groups. The correlation between factor scores corroborated the hypothesis that childhood sleep disturbances are not independent entities nor do they cluster into different groupings related to each other. The SDSC appears to be a useful tool in evaluating the sleep disturbances of school‐age children in clinical and non‐clinical populations.

Headache and Psychiatric Comorbidity: Clinical Aspects and Outcome in an 8-Year Follow-Up Study

Migraine with juvenile onset changes over time. The existence of prognostic factors is a point of focus. A strict relationship between migraine or tension-type headache (TTH) and psychiatric factors has been suggested, but the exact role and the influence on evolution of headache is unknown. Objective. To analyze the evolution of migraine and TTH and psychiatric comorbidity (P-Co) from 1988 to 1996. Material and method. 100 subjects (40M, 60F; mean age 17.9 years; SD 2.7 years; range 12–26 years) were examined at our Center. The International Headache Society (IHS) criteria were employed. Psychometric tests and clinical interviews aided psychiatric diagnosis (DSM-III-R). SCID (Structured Clinical Interview for DSM-III-R) was employed in 1996. Chi square and logistic regression are used for statistical analysis. Findings. Migraine and TTH change their clinical characteristics, with a high tendency to remission (mostly in males). The presence of P-Co in 1988 is related to a worsening or unchanging situation in 1996. Headache-free subjects did not present any psychiatric disorders in 1996. Anxiety disorders in 1988 are related to enduring of headache. Migraine shows comorbidity with anxiety disorders and depression. Conclusion. P-Co is a notable problem in clinical practice. Diagnostic, prognostic, and treatment implications require a systematic assessment of P-Co.

Sleep habits and circadian preference in Italian children and adolescents

Sleep habits and circadian preference (morningness/eveningness, M/E) have been extensively analyzed in adolescents and young adults, while few studies were conducted on children and early adolescents. Aim of the present study was to investigate the developmental changes of circadian preference and to analyze its relationship with sleep habits, sleep problems and circadian preference in a large sample by means of a school‐based survey. One thousand seventy‐three participants (50.8% boys and 49.2% girls; mean age = 10.6; range = 8–14 years), recruited from four schools randomly extracted within the district of Rome, completed a modified version of School Sleep Habits Survey developed by Carskadon et al. The questionnaire included items about sleep habits during schooldays and weekends; a Sleepiness Scale; a Sleep–Wake Problems Behaviour Scale; a Morningness/Eveningness scale. The results show a consistent age‐related change in sleep habits, particularly in the weekends. The difference in sleep duration between schooldays and weekends increases linearly with age. No gender difference was observed in morningness/eveningness, while a significant linear increase in evening preference was found with increasing ages. M/E total scores correlated significantly with both self‐reported sleep/wake problems and daytime sleepiness indicating a higher prevalence of sleep complaints in evening‐type subjects. Overall, the present results support the existence of consistent age‐related changes in sleep habits and M/E dimension in the 8‐ to 14‐year age range.

National Sleep Foundation's updated sleep duration recommendations: final report ☆

OBJECTIVE To make scientifically sound and practical recommendations for daily sleep duration across the life span. METHODS The National Sleep Foundation convened a multidisciplinary expert panel (Panel) with broad representation from leading stakeholder organizations. The Panel evaluated the latest scientific evidence and participated in a formal consensus and voting process. Then, the RAND/UCLA Appropriateness Method was used to formulate sleep duration recommendations. RESULTS The Panel made sleep duration recommendations for 9 age groups. Sleep duration ranges, expressed as hours of sleep per day, were designated as recommended, may be appropriate, or not recommended. Recommended sleep durations are as follows: 14-17 hours for newborns, 12-15 hours for infants, 11-14 hours for toddlers, 10-13 hours for preschoolers, 9-11 hours for school-aged children, and 8-10 hours for teenagers. Seven to 9 hours is recommended for young adults and adults, and 7-8 hours of sleep is recommended for older adults. The self-designated basis for duration selection and critical discussions are also provided. CONCLUSIONS Consensus for sleep duration recommendations was reached for specific age groupings. Consensus using a multidisciplinary expert Panel lends robust credibility to the results. Finally, limitations and caveats of these recommendations are discussed.

Cyclic alternating pattern (CAP): The marker of sleep instability

Cyclic alternating pattern CAP is the EEG marker of unstable sleep, a concept which is poorly appreciated among the metrics of sleep physiology. Besides, duration, depth and continuity, sleep restorative properties depend on the capacity of the brain to create periods of sustained stable sleep. This issue is not confined only to the EEG activities but reverberates upon the ongoing autonomic activity and behavioral functions, which are mutually entrained in a synchronized oscillation. CAP can be identified both in adult and children sleep and therefore represents a sensitive tool for the investigation of sleep disorders across the lifespan. The present review illustrates the story of CAP in the last 25 years, the standardized scoring criteria, the basic physiological properties and how the dimension of sleep instability has provided new insight into pathophysiolology and management of sleep disorders.

Sleep Hygiene and Migraine in Children and Adolescents

Although sleep problems are a common complaint in migraine patients, the role of sleep habits and hygiene as triggering factors of head pain attacks has been poorly analyzed. The aim of this study was to evaluate the effect of modifying bad sleep habits across several headache parameters. Based on our previous study, we selected 70/164 migraineurs (42.7%) with poor sleep hygiene and randomly assigned them to two groups: group A migraineurs, who were instructed to follow directions to improve sleep hygiene; and group B migraineurs who were not given instructions on improving sleep hygiene. Mean duration and frequency of migraine attacks were significantly reduced at follow-up in group A, while group B showed only an insignificant initial reduction. No differences were found in the severity of migraine attacks that seemed related to a higher prevalence of nocturnal symptoms such as bedtime struggles, hypnic jerks, nightmares, and restless sleep. Our study is an alternative approach to the treatment of migraine, i.e. treatment through a simple modification of sleep behavior without recurring to pharmacological treatment.

A quantitative statistical analysis of the submentalis muscle EMG amplitude during sleep in normal controls and patients with REM sleep behavior disorder

The aim of this study was to evaluate quantitatively the amplitude of the submentalis muscle EMG activity during sleep in controls and in patients with idiopathic REM sleep behavior disorder (RBD) or with RBD and multiple system atrophy (MSA). We recruited 21 patients with idiopathic RBD, 10 with MSA, 10 age‐matched and 24 young normal controls. The average amplitude of the rectified submentalis muscle EMG signal was used for the assessment of atonia and a Sleep Atonia Index was developed; moreover, also chin muscle activations were detected and their duration and interval analyzed. The Sleep Atonia Index was able to distinguish clearly REM from NREM sleep in normal controls with values very close to 1 in young normal subjects and only slightly (but significantly) lower in old controls. Idiopathic RBD patients showed a further significant decrease of this index; MSA patients showed the lowest values of REM Sleep Atonia Index, which were very well distinguishable from those of normal controls and of idiopathic RBD patients. The distribution of the duration of chin activations was monomodal in all groups, with idiopathic RBD patients showing the highest levels. This study is a really quantitative attempt to provide practical indices for the objective evaluation of EMG atonia during REM sleep and of EMG activations. Our proposed Sleep Atonia Index can have a practical application in the clinical evaluations of patients and represents an additional useful parameters to be used in conjunction with the other criteria for the diagnosis of this sleep motor disorder.

Sleep disorders in children with Attention-Deficit/Hyperactivity Disorder (ADHD) recorded overnight by video-polysomnography

OBJECTIVE To outline specific sleep disturbances in different clinical subsets of Attention Deficit/Hyperactivity Disorder (ADHD) and to confirm, by means of nocturnal video-polysomnography (video-PSG), a variety of sleep disorders in ADHD besides the classically described periodic leg movement disorder (PLMD), restless legs syndrome (RLS) and sleep related breathing disorder (SRBD). METHODS Fifty-five ADHD children (47 M, 8F; mean age=8.9 y) were included: 16 had Inattentive and 39 Hyperactive/Impulsive or Combined ADHD subtype. Behavior assessment by Conners and SNAP-IV Scales, a structured sleep interview and a nocturnal video-PSG were administered. RESULTS Most children/parents reported disturbed, fragmentary sleep at night; complaints were motor restlessness (50%), sleep walking (47.6%), night terrors (38%), confusional arousals (28.5%), snoring (21.4%), and leg discomfort at night associated with RLS (11.9%). There is a significant difference (p value <0.05 or <0.001) in almost all the studied sleep variables between ADHD children and controls. International RLS Rating Scale scoring, Periodic Limb Movements during Sleep (PLMS) and Wake (PLMW) indexes, hyperactivity and opposition scores and ADHD subtype appear related. Different sleep disorders seem to address specific ADHD phenotypes and correlate with severity of symptoms as in sleep related movement disorders occurring in Hyperactive/Impulsive and Combined ADHD subtypes. Besides, an abnormality of the arousal process in slow wave sleep with consequent abnormal prevalence of disorders of arousal possibly enhanced by SRBD has also been detected in 52% of our sample. CONCLUSIONS This study underlines the opportunity to propose and promote the inclusion of sleep studies, possibly by video-PSG, as part of the diagnostic screening for ADHD. This strategy could address the diagnosis and treatment of different specific ADHD phenotypic expressions that might be relevant to childrens symptoms and contribute to ADHD severity.

Small-world network organization of functional connectivity of EEG slow-wave activity during sleep

OBJECTIVE To analyze the functional connectivity patterns of the EEG slow-wave activity during the different sleep stages and Cyclic Alternating Pattern (CAP) conditions, using concepts derived from Graph Theory. METHODS We evaluated spatial patterns of EEG slow-wave synchronization between all possible pairs of electrodes (19) placed over the scalp of 10 sleeping healthy young normal subjects using two graph theoretical measures: the clustering coefficient (Cp) and the characteristic path length (Lp). The measures were obtained during the different sleep stages and CAP conditions from the real EEG connectivity networks and randomized control (surrogate) networks (Cp-s and Lp-s). RESULTS Cp and Cp/Cp-s increased significantly from wakefulness to sleep while Lp and Lp/Lp-s did not show changes. Cp/Cp-s was higher for A1 phases, compared to B phases of CAP. CONCLUSIONS The network organization of the EEG slow-wave synchronization during sleep shows features characteristic of small-world networks (high Cp combined with low Lp); this type of organization is slightly but significantly more evident during the CAP A1 subtypes. SIGNIFICANCE Our results show feasibility of using graph theoretical measures to characterize the complexity of brain networks during sleep and might indicate sleep, and the A1 phases of CAP in particular, as a period during which slow-wave synchronization shows optimal network organization for information processing.