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Ambulatory blood pressure monitoring (ABPM) increases restlessness during adults' sleep in laboratory settings, but there is little evidence of an association among adolescents or in naturalistic environments. This study examined activity levels before and after blood pressure cuff inflation during sleep to determine whether and for how long ABPM increased restlessness during sleep in healthy adolescents.Two hundred thirty-four healthy adolescents (mean age = 15.72 [1.30] years; 54% female; 57% Black) completed two consecutive nights of hourly ABPM and wrist-worn actigraphy. Activity counts during sleep, averaged across 5-minute bins, were compared in the 20 minutes before and after blood pressure cuff inflation using a four-level mixed model (bins within hours within nights within participants). Interactions of bin with night, sex, and race were examined. Covariates included age, sex, and race.Activity counts in the 5-minute bin immediately after cuff inflation were 10% to 14% higher than all other bins before ( p.001) and after ( p.001) cuff inflation. This effect differed by night and sex, as activity levels during 5-minute post-cuff inflation were elevated only on night 1 ( p values.001) and only in female participants ( p values.001). Effects did not differ by race.Cuff inflation during ABPM briefly increased adolescent female participants' restlessness during sleep. Habituation occurred after one night, so two nights of ABPM may minimize impact on sleep. If only one night of ABPM is feasible, excluding 5 minutes of actigraphy data after each cuff inflation may accommodate the impact of ABPM on restlessness during sleep.

Challenges with emotion dysregulation, self-injurious behavior (SIB), and aggression are common in autistic individuals. Prior research on the relationships between these behaviors is limited mainly to cross-sectional correlations of parent-report data. Understanding how emotion dysregulation, SIB, and aggression present and relate to one another in real-time could add to our understanding of the context and function of these behaviors. The present study examined the real-time occurrence and temporal relationships between these behaviors in 53 psychiatrically hospitalized autistic youth. Over 500 hours of behavioral observation occurred during everyday activities in the hospital. Start and stop times for instances of overt emotion dysregulation, SIB, and aggression were coded live using a custom mobile phone app. Results indicated large individual variability in the frequency and duration of these behaviors and their co-occurrence. Both SIB and aggression co-occurred with overt emotion dysregulation at above-chance levels, suggesting a role for emotional distress in the occurrence of these behaviors. However, there was substantial variability within and between individuals in co-occurrence, and SIB and aggression often (and for some individuals, almost always) occurred without overt emotion dysregulation. Relatedly, cross-recurrence quantitative analysis revealed that SIB and aggression preceded emotion dysregulation more often than emotion dysregulation preceded SIB and aggression. Future research, perhaps using ambulatory psychophysiological measures, is needed to understand whether emotion dysregulation may sometimes be present but not easily observed during SIB and aggression. LAY SUMMARY: This study provides insight into how overt emotion dysregulation (i.e., visible distress), aggression, and self-injury unfold in real-time for autistic individuals. Participants were 53 autistic youth staying in a psychiatric hospital. Research staff observed participants in everyday activities on the hospital unit and noted instances of aggression, self-injurious behavior, and emotion dysregulation. Results suggest that aggression and self-injury sometimes occur with visible signs of distress but also often occur without visible distress. In addition, observable distress was more common in the moments after these behaviors than in the moments before.

The evening chronotype is strongly associated with greater alcohol use, though mechanisms underlying this association are not well understood. The current study evaluated emotion regulation as a potential mechanism linking evening chronotype and alcohol use. Participants were 81 undergraduate students. Chronotype was assessed using the Composite Scale of Morningness (CSM). Alcohol use disorder severity was assessed using the Alcohol Use Disorder Identification Test (AUDIT). Participants recorded daily sleep patterns using an online diary for seven days. Participants then completed a standardized laboratory emotion regulation task. Self-reported affect, high-frequency heart rate variability (HF-HRV), and pre-ejection period (PEP) were measured throughout the task. Sleep duration on non-free days (defined as days when sleep was restricted by morning obligations such as work or school) was evaluated as a moderator. Thirty-one evening chronotypes (CSM scores ≤ 26) were compared to 50 non-evening chronotypes (CSM scores >26). Evening chronotypes reported significantly greater symptoms of alcohol use disorder (F = 4.399, p = .039). In the full sample, emotion regulation was successful for altering affective but not autonomic reactivity to emotional stimuli. There were no chronotype differences in self-reported affect, HF-HRV, or PEP during the emotion regulation task. Longer sleep duration on non-free days was associated with increased HF-HRV during negative emotion regulation among non-evening chronotypes. Moderated mediation revealed that emotion regulation did not mediate the association between evening chronotype and alcohol use, irrespective of sleep duration on non-free days. This study is consistent with the literature on chronotype and substance use, demonstrating that undergraduate evening chronotypes endorse greater severity of alcohol use disorder. Given that emotion regulation did not successfully alter autonomic reactivity to emotional stimuli, emotion regulation as a potential mechanism linking chronotype and alcohol use remains inconclusive. Longer sleep duration appears to be protective for non-evening chronotypes in terms of parasympathetic control during the regulation of negative emotions.

Insomnia subtypes have not been characterized in severely affected youth with autism spectrum disorder. We examined indices of clinical impairment (i.e. length of hospital stay, autism severity, nonverbal intelligence quotient, and adaptive and maladaptive behaviors) across insomnia subtypes in 427 psychiatrically hospitalized children with autism spectrum disorder (mean age = 12.8 ± 3.4; 81.3% male). Multivariate analysis with Bonferroni adjustment tested for differences in clinical impairment across insomnia subtypes adjusting for age and sex. Per parent report, 60% (n = 257) of children had at least one form of insomnia. The distribution of subtypes was sleep onset (26.1%, n = 67), sleep maintenance (24.9%, n = 64), early morning waking (4.3%, n = 11), and combined (44.7%, n = 115). There was a significant multivariate effect of insomnia subtypes on clinical impairment (Pillai’s Trace = 0.25, F = 2.78, p < 0.001). Sleep maintenance and early morning waking were associated with longer hospital stays. Early morning waking was also associated with greater autism symptom severity. In general, children with sleep-maintenance or combined insomnias scored lower on adaptive behaviors and higher on maladaptive behaviors. Sleep-maintenance and combined insomnias appear to be more indicative of or consequential for impaired behavioral functioning. Lay abstract Insomnia subtypes are not well understood in the most severely affected children with autism spectrum disorder. We examined length of hospital stay, autism severity, nonverbal intelligence quotient, and behavioral functioning across insomnia subtypes in 427 psychiatrically hospitalized children with autism spectrum disorder (mean age = 12.8 ± 3.4; 81.3% male). Per parent report, 60% (n = 257) of children had at least one type of insomnia. The distribution of subtypes was difficulty falling asleep (26.1%, n = 67), difficulty staying asleep (24.9%, n = 64), early morning awakening (4.3%, n = 11), and multiple insomnia symptoms (44.7%, n = 115). Difficulty staying asleep and early morning awakenings were associated with longer hospital stays. Early morning awakening was also associated with higher autism symptom severity. In general, children with difficulty staying asleep or multiple insomnia symptoms scored lower on adaptive behaviors (e.g. communication, self-care, socialization) and higher on maladaptive behaviors (e.g. irritability, hyperactivity, emotional reactivity, and emotional dysphoria). Difficulty staying asleep or having multiple insomnia symptoms appears to be most strongly related to impaired behavioral functioning. Conversely, early morning awakenings may be more closely tied with autism spectrum disorder itself. Further research is needed regarding insomnia subtypes at the severe end of the autism spectrum.

The aims of this chapter are to present the state of the science of sleep in individuals with autism spectrum disorder (ASD), including hypotheses for the high prevalence of chronic insomnia, possible etiologies of insomnia, and ecological and behavioral interventions for promoting optimal sleep. About two thirds of children with ASD have chronic insomnia, and these sleep problems have been shown to persist. The strongest evidence on promoting sleep in individuals with ASD is for sleep education, ecological changes, behavioral interventions, and exogenous melatonin. In 2012, the Sleep Committee of the Autism Treatment Network developed a practice pathway, based on expert consensus, to capture best practices for screening, identification, and treatment of sleep problems in ASD. An exemplar case is presented to integrate key constructs of the practice pathway.

Aggression is a clinically significant problem for many children, adolescents, and adults with autism spectrum disorder (ASD). The high prevalence and negative outcomes associated with aggression in individuals with ASD make it an especially important treatment target. Emerging research suggests that aggression is associated with both core symptoms and co-occurring conditions among individuals with ASD; however, research on etiology and underlying mechanisms of symptoms remains limited. Although there are few standardized tools developed specifically for assessment of aggression in people with ASD, practitioners are encouraged to use a multi-informant and multimodal assessment approach, with particular focus on identifying the environmental variables that contribute to the occurrence and maintenance of aggression. Treatment strategies with the most empirical evidence include behavioral strategies and medication. Future areas for research include larger scale studies of etiology, underlying mechanisms, and treatment effectiveness across the lifespan.

Despite significant advances in autism research, experts have noted that children severely affected by autism spectrum disorder (ASD) appear to have been understudied. Rigorous analysis of this observation has been limited, and the representation of severity has not been well-described. We assessed three domains of severity (communication ability, cognitive functioning, and adaptive functioning) in 367 treatment studies of children with ASD published 1991-2013. We found that the proportion of studies that included the severely affected population decreased significantly over time, as well as wide variability in measurement and reporting. Inadequate representation of the full autism spectrum in the literature could lead to an unbalanced picture of ASD and leave behind those with arguably the greatest need.

STUDY OBJECTIVES Circadian misalignment, as seen in shift workers, can disrupt metabolic processes. Associations between sleep timing in nonshift workers and metabolic health are unknown. We examined sleep timing and indices of metabolic health in a community sample of midlife women. METHODS Caucasian (n = 161), African American (n = 121) and Chinese (n = 56) non-shift-working women aged 48-58 y who were not taking insulin-related medications, participated in the Study of Women's Health Across the Nation (SWAN) Sleep Study and were subsequently examined approximately 5.39 (standard deviation = 0.71) y later. Daily diary-reported bedtimes were used to calculate four measures of sleep timing: mean bedtime, bedtime variability, bedtime delay and bedtime advance. Body mass index (BMI) and insulin resistance (homeostatic model assessment-insulin resistance, HOMA-IR) were measured at two time points. Linear regressions evaluated whether sleep timing was associated with BMI and HOMA-IR cross-sectionally and prospectively. RESULTS In cross-sectional models, greater variability in bedtime and greater bedtime delay were associated with higher HOMA-IR (β = 0.128; P = 0.007, and β = 0.110; P = 0.013, respectively) and greater bedtime advance was associated with higher BMI (β = 0.095; P = 0.047). Prospectively, greater bedtime delay predicted increased HOMA-IR at Time 2 (β = 0.152; P = 0.003). Results were partially explained by shifted sleep timing on weekends. CONCLUSION Frequent shifts in sleep timing may be related to metabolic health among non-shift working midlife women. COMMENTARY A commentary on this article appears in this issue on page 269.

Psychiatric hospitalization of children with autism spectrum disorder (ASD) is common, but there is little comparative information available on different psychiatric hospital treatment models. Children with ASD ages 4–20 were enrolled upon admission to either a specialized (N = 53) or a general child psychiatric unit (N = 27). Caregivers completed the Aberrant Behavioral Checklist-Irritability Sub-scale (ABC-I) at admission, discharge, and 2 months post-discharge and reported information on crisis service utilization 2 months post-discharge. Children treated in the specialized unit had lower ABC-I scores at discharge and 2 months post-discharge (F = 8.98, p = 0.003) and were significantly less likely to experience an ER visit within 2 months post-discharge (X2 = 5.51, p = 0.019). Specialized inpatient units may be more effective for children with ASD in need of psychiatric hospitalization.

Evening chronotype is increasingly recognized as a correlate of, and perhaps a contributor to, mental illness. The current review evaluates recent evidence for the association between chronotype and mental illness and putative mechanisms underlying the association, while highlighting methodological advances and areas of research that are relatively under-examined in the literature. While evening chronotype is most consistently associated with severity of mood disorder symptoms, emerging evidence implicates evening chronotype as a transdiagnostic correlate of substance use severity, anxiety symptoms, attentional difficulties, and maladaptive behaviors such as aggression. Longitudinal studies point to the possibility that evening chronotype precedes problematic substance use, depression, and anxiety. Neural processes related to reward and affective regulation may underlie associations between evening chronotype and illness. The literature on chronotype and mental illness has evolved to (1) include associations with a broader range of psychiatric symptom profiles; (2) explore underlying mechanisms; and (3) expand on earlier research using objective measures and more sophisticated study designs. In addition to further mechanistic research, additional work is needed to examine the stability and key subcomponents of the chronotype construct, as well as more attention to pediatric and special populations. This research is needed to clarify the chronotype-mental health relationship, and to identify how, when, and what aspects of chronotype can be targeted via therapeutic interventions.

OBJECTIVES Caring for a spouse with dementia is a source of chronic stress and is associated with a heightened prevalence of self-reported sleep problems. Styles and strategies for coping with stress have been associated with objective measures of sleep in non-caregiver populations. The current study evaluated relationships between caregiver coping style and sleep disturbance using in-home polysomnography. METHODS Sixty spousal caregivers (mean [standard deviation] age = 73.31 [7.05] years; 81.7% female) completed the Brief Cope, the Hamilton Rating Scale for Depression, and three nights of in-home polysomnography. Participants were categorized into two groups based on the presence or absence of clinically significant low sleep efficiency (

Summary Depression is associated with disturbances to sleep and the 24-h sleep–wake pattern (known as the rest–activity rhythm: RAR). However, there remains a need to identify the specific sleep/RAR correlates of depression symptom severity in population subgroups, such as strained dementia caregivers, who are at elevated risk for major depressive disorder. We assessed the cross-sectional associations of sleep/RARs with non-sleep depression symptom severity among 57 (mean age: 74 years, standard deviation: 7.4) strained dementia caregivers who were currently without clinical depression. We derived sleep measures from polysomnography and actigraphy, modelled RARs using a sigmoidally transformed cosine curve and measured non-sleep depression symptom severity using the Hamilton Depression Rating Scale (HRDS) with sleep items removed. The following sleep–wake measures were associated with greater depression symptom severity (absolute Spearman's correlations ranged from 0.23 to 0.32): more time awake after sleep onset (WASO), higher RAR middle level (mesor), relatively shorter active periods (alpha), earlier evening settling time (down-mesor) and less steep RARs (beta). In multivariable analysis, high WASO and low RAR beta were associated independently with depression symptom severity. Predicted non-sleep HDRS means (95% confidence intervals) in caregivers with and without these characteristics were: normal WASO/beta = 3.7 (2.3–5.0), high WASO/normal beta = 5.5 (3.5–7.6), normal WASO/low beta = 6.3 (3.6–8.9) and high WASO/low beta = 8.1 (5.3–10.9). Thus, in our sample of strained caregivers, greater sleep fragmentation (WASO) and less sustained/sharply segregated resting and active periods (low RAR beta) correlate uniquely with depression symptom severity. Longitudinal studies are needed to establish whether these independent sleep–wake correlates of depression symptoms explain heightened depression risk in dementia caregivers.

No studies have evaluated the dynamic, time-varying, relationship between delta electroencephalographic (EEG) sleep and high frequency heart rate variability (HF-HRV) in women. Delta EEG and HF-HRV were measured during sleep in 197 midlife women (Mage =52.1, SD =2.2). Delta EEG-HF-HRV correlations in Non-Rapid Eye Movement (NREM) sleep were modeled as whole night averages and as continuous functions of time. The whole-night delta EEG-HF-HRV correlation was positive. Strongest correlations were observed during the first NREM sleep period preceding and following peak delta power. Time-varying correlations between delta EEG-HF-HRV were stronger in participants with sleep-disordered breathing and self-reported insomnia compared to healthy controls. The dynamic interplay between sleep and autonomic activity can be modeled across the night to examine within- and between-participant differences including individuals with and without sleep disorders.

Study Objectives The mechanisms linking short sleep duration to cardiovascular disease (CVD) are poorly understood. Emerging evidence suggests that endothelial dysregulation may lie along the causal pathway linking sleep duration to cardiovascular risk, although current evidence in humans is based on cross-sectional studies. Our objective was to evaluate the prospective association between objectively assessed sleep duration and clinical indices of endothelial health. Methods A total of 141 medically healthy adults underwent an overnight laboratory sleep study when they were between the ages of 21 and 60 years. Total sleep time was objectively assessed by polysomnography at study entry. Endothelial health, including brachial artery diameter (BAD) and flow-mediated dilation (FMD), was measured 18.9 ± 4.6 years later. Medical health and psychiatric status were assessed at both time points. Approximately half of the sample had a lifetime history of major depressive disorder. Results In univariate analyses, shorter sleep duration was associated with increased BAD (β = -0.24, p = .004) and decreased FMD (β = 0.17, p = .042). BAD, but not FMD, remained significantly associated with sleep duration after adjusting for sex, age, body mass index (BMI), smoking, diabetes, hypertension, and lifetime history of major depressive disorder (MDD) at T2. The association between sleep duration and BAD was stronger than the association between BAD and an aggregate measure of CVD risk including three or more of the following risk factors: male sex, age ≥ 65 years, smoker, BMI ≥ 30, diabetes, hypertension, and MDD. Conclusions Objectively assessed short sleep duration was prospectively associated with increased BAD over a 12- to 30-year period.

No studies have evaluated the dynamic, time-varying relationship between delta electroencephalographic (EEG) sleep and high frequency heart rate variability (HF-HRV) in women. Delta EEG and HF-HRV were measured during sleep in 197 midlife women (M(age) = 52.1, SD = 2.2). Delta EEG-HF-HRV correlations in nonrapid eye movement (NREM) sleep were modeled as whole-night averages and as continuous functions of time. The whole-night delta EEG-HF-HRV correlation was positive. The strongest correlations were observed during the first NREM sleep period preceding and following peak delta power. Time-varying correlations between delta EEG-HF-HRV were stronger in participants with sleep-disordered breathing and self-reported insomnia compared to healthy controls. The dynamic interplay between sleep and autonomic activity can be modeled across the night to examine within- and between-participant differences including individuals with and without sleep disorders.