Subjective–objective sleep discrepancy among older adults: associations with insomnia diagnosis and insomnia treatment

Discrepancy between subjective and objective measures of sleep is associated with insomnia and increasing age. Cognitive behavioural therapy for insomnia improves sleep quality and decreases subjective–objective sleep discrepancy. This study describes differences between older adults with insomnia and controls in sleep discrepancy, and tests the hypothesis that reduced sleep discrepancy following cognitive behavioural therapy for insomnia correlates with the magnitude of symptom improvement reported by older adults with insomnia. Participants were 63 adults >60 years of age with insomnia, and 51 controls. At baseline, participants completed sleep diaries for 7 days while wearing wrist actigraphs. After receiving cognitive behavioural therapy for insomnia, insomnia patients repeated this sleep assessment. Sleep discrepancy variables were calculated by subtracting actigraphic sleep onset latency and wake after sleep onset from respective self‐reported estimates, pre‐ and post‐treatment. Mean level and night‐to‐night variability in sleep discrepancy were investigated. Baseline sleep discrepancies were compared between groups. Pre–post‐treatment changes in Insomnia Severity Index score and sleep discrepancy variables were investigated within older adults with insomnia. Sleep discrepancy was significantly greater and more variable across nights in older adults with insomnia than controls, P ≤ 0.001 for all. Treatment with cognitive behavioural therapy for insomnia was associated with significant reduction in the Insomnia Severity Index score that correlated with changes in mean level and night‐to‐night variability in wake after sleep onset discrepancy, P < 0.001 for all. Study of sleep discrepancy patterns may guide more targeted treatments for late‐life insomnia.     

Subjective–objective sleep discrepancy in patients with insomnia during and after cognitive behavioural therapy: An actigraphy study

Although patients with insomnia often show a discrepancy between self‐reported and objective sleep parameters, the role of and change in this phenomenon during treatment remain unclear. The present study aimed to assess the effect of cognitive behavioural therapy for insomnia on subjective and objective sleep discrepancy of total sleep time, sleep‐onset latency and wake after sleep onset. The total sleep time discrepancy was also assessed across the entire therapy. The second aim was to examine the treatment outcome of two insomnia groups differing in sleep perception. Thirty‐six adults with insomnia (mean age = 46.7 years, SD = 13.9; 22 females) were enrolled in the final analyses. Patients underwent a 6‐week group cognitive behavioural therapy for insomnia programme. Sleep diary and actigraphy measurements were obtained during the therapy. Patients who underestimated total sleep time (n = 16; underestimating group) were compared with patients who accurately perceived or overestimated total sleep time (n = 20; accurate/overestimating group). After cognitive behavioural therapy for insomnia, a significant decrease of total sleep time and sleep‐onset latency discrepancy was observed without a change in wake after sleep onset discrepancy in the total sample. Only the underestimating group reported decreased sleep‐onset latency discrepancy after the treatment, whereas total sleep time discrepancy significantly changed in both groups. The underestimating group showed a significant decrease of total sleep time discrepancy from Week 1 to Week 2 when the sleep restriction was implemented, whereas the accurate/overestimating group showed the first significant change at Week 4. In conclusion, both groups differing in sleep perception responded similarly to cognitive behavioural therapy for insomnia, although different In conclusion, both groups differing in sleep perception responded similarly to cognitive behavioural therapy for insomnia, although different therapeutic components could play important roles in each group. components could play important roles in each group.     

Telehealth‐delivered CBT‐I programme enhanced by acceptance and commitment therapy for insomnia and hypnotic dependence: A pilot randomized controlled trial

Cognitive behavioural therapy for insomnia is the recommended treatment for chronic insomnia. However, up to a quarter of patients dropout from cognitive behavioural therapy for insomnia programmes. Acceptance, mindfulness and values‐based actions may constitute complementary therapeutic tools to cognitive behavioural therapy for insomnia. The current study sought to evaluate the efficacy of a remotely delivered programme combining the main components of cognitive behavioural therapy for insomnia (sleep restriction and stimulus control) with the third‐wave cognitive behavioural therapy acceptance and commitment therapy in adults with chronic insomnia and hypnotic dependence on insomnia symptoms and quality of life. Thirty‐two participants were enrolled in a pilot randomized controlled trial: half of them were assigned to a 3‐month waiting list before receiving the four “acceptance and commitment therapy‐enhanced cognitive behavioural therapy for insomnia” treatment sessions using videoconference. The primary outcome was sleep quality as measured by the Insomnia Severity Index and the Pittsburgh Sleep Quality Index. All participants also filled out questionnaires about quality of life, use of hypnotics, depression and anxiety, acceptance, mindfulness, thought suppression, as well as a sleep diary at baseline, post‐treatment and 6‐month follow‐up. A large effect size was found for Insomnia Severity Index and Pittsburgh Sleep Quality Index, but also daytime improvements, with increased quality of life and acceptance at post‐treatment endpoint in acceptance and commitment therapy‐enhanced cognitive behavioural therapy for insomnia participants. Improvement in Insomnia Severity Index and Pittsburgh Sleep Quality Index was maintained at the 6‐month follow‐up. Wait‐list participants increased their use of hypnotics, whereas acceptance and commitment therapy‐enhanced cognitive behavioural therapy for insomnia participants evidenced reduced use of them. This pilot study suggests that web‐based cognitive behavioural therapy for insomnia incorporating acceptance and commitment therapy processes may be an efficient option to treat chronic insomnia and hypnotic dependence.     

Endothelial function and sleep: associations of flow‐mediated dilation with perceived sleep quality and rapid eye movement (REM) sleep

Endothelial function typically precedes clinical manifestations of cardiovascular disease and provides a potential mechanism for the associations observed between cardiovascular disease and sleep quality. This study examined how subjective and objective indicators of sleep quality relate to endothelial function, as measured by brachial artery flow‐mediated dilation (FMD). In a clinical research centre, 100 non‐shift working adults (mean age: 36 years) completed FMD testing and the Pittsburgh Sleep Quality Index, along with a polysomnography assessment to obtain the following measures: slow wave sleep, percentage rapid eye movement (REM) sleep, REM sleep latency, total arousal index, total sleep time, wake after sleep onset, sleep efficiency and apnea–hypopnea index. Bivariate correlations and follow‐up multiple regressions examined how FMD related to subjective (i.e. Pittsburgh Sleep Quality Index scores) and objective (i.e. polysomnography‐derived) indicators of sleep quality. After FMD showed bivariate correlations with Pittsburgh Sleep Quality Index scores, percentage REM sleep and REM latency, further examination with separate regression models indicated that these associations remained significant after adjustments for sex, age, race, hypertension, body mass index, apnea–hypopnea index, smoking and income (Ps < 0.05). Specifically, as FMD decreased, scores on the Pittsburgh Sleep Quality Index increased (indicating decreased subjective sleep quality) and percentage REM sleep decreased, while REM sleep latency increased (Ps < 0.05). Poorer subjective sleep quality and adverse changes in REM sleep were associated with diminished vasodilation, which could link sleep disturbances to cardiovascular disease.     

Autonomic dysregulation and sleep homeostasis in insomnia

Study ObjectivesInsomnia is common in older adults, and is associated with poor health, including cognitive impairment and cardio-metabolic disease. Although the mechanisms linking insomnia with these comorbidities remain unclear, age-related changes in sleep and autonomic nervous system (ANS) regulation might represent a shared mechanistic pathway. In this study, we assessed the relationship between ANS activity with indices of objective and subjective sleep quality in older adults with insomnia.MethodsForty-three adults with chronic insomnia and 16 age-matched healthy sleeper controls were studied. Subjective sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI), objective sleep quality by electroencephalogram spectral components derived from polysomnography, and ANS activity by measuring 24-h plasma cortisol and norepinephrine (NE).ResultsSleep cycle analysis displayed lower slow oscillatory (SO: 0.5–1.25 Hz) activity in the first cycle in insomnia compared to controls. In insomnia, 24-h cortisol levels were higher and 24-h NE levels were lower than controls. In controls, but not in insomnia, there was a significant interaction between NE level during wake and SO activity levels across the sleep cycles, such that in controls but not in insomnia, NE level during wake was positively associated with the amount of SO activity in the first cycle. In insomnia, lower 24-h NE level and SO activity in the first sleep cycle were associated with poorer subjective sleep quality.ConclusionDysregulation of autonomic activity may be an underlying mechanism that links objective and subjective measures of sleep quality in older adults with insomnia, and potentially contribute to adverse health outcomes.     

Internight sleep variability: its clinical significance and responsiveness to treatment in primary and comorbid insomnia

Although sleep diary and actigraphy data are usually collected daily for 1 or 2 weeks, traditional analytical approaches aggregate these data into mean values. Internight variability of sleep often accompanies insomnia. However, few studies have explored the relevance of this ‘construct’ in the context of diagnosis, clinical impact, treatment effects and/or whether having ‘variable sleep’ carries any prognostic significance. We explored these questions by conducting secondary analyses of data from a randomized clinical trial. The sample included primary (PI: n = 40) and comorbid insomnia (CMI: n = 41) sufferers receiving four biweekly sessions of cognitive–behavioural therapy (CBT) or sleep hygiene education. Using the within‐subject standard deviations of diary‐ and actigraphy‐derived measures collected for 2‐week periods [sleep onset latency (SOL), wake after sleep onset (WASO), total sleep time (TST) and sleep efficiency (SE)], we found that CMI sufferers displayed more variable self‐reported SOLs and SEs than PI sufferers. However, higher variability in diary and actigraphy‐derived measures was related to poorer sleep quality only within the PI group, as measured by the Pittsburgh Sleep Quality Index (PSQI). Within both groups, the variability of diary‐derived measures was reduced after CBT, but the variability of actigraphy‐derived measures remained unchanged. Interestingly, the variability of actigraphy measures at baseline was correlated with PSQI scores at 6‐month follow‐up. Higher SOL variability was associated with worse treatment outcomes within the PI group, whereas higher WASO variability was correlated with better treatment outcomes within the CMI group. Sleep variability differences across insomnia diagnoses, along with their distinctive correlates, suggest that mechanisms underlying the sleep disruption/complaint and treatment response in both patient groups are distinct. Further studies are warranted to support variability as a useful metric in insomnia studies.     

Am I (hyper)aroused or anxious? Clinical significance of pre‐sleep somatic arousal in young adults

Self‐reported somatic arousal remains a challenging clinical construct, particularly because only a subset of patients report symptoms such as racing heart, palpitations or increased body temperature interfering with their sleep. It is unclear whether self‐reported somatic arousal is a marker of hyperarousal or co‐morbid clinical anxiety in individuals with insomnia. Participants included 196 young adults aged 20.2 ± 1.0 years old who were predominantly females (75%). About 39% of the sample reported subthreshold insomnia, and about 8% reported clinically significant insomnia, based on their Insomnia Severity Index. Participants completed the Pre‐Sleep Arousal Scale, Beck Anxiety Inventory, Beck Depression Inventory, Arousal Predisposition Scale, and Ford Insomnia Response to Stress Test. Multivariable stepwise regression assessed which factors were independently associated with pre‐sleep cognitive (Pre‐Sleep Arousal Scale‐Cognitive) and somatic (Pre‐Sleep Arousal Scale‐Somatic) arousal. Receiver‐operating characteristic analysis assessed the predictive value to identify clinically significant anxiety (Beck Anxiety Inventory ≥ 20), insomnia (Insomnia Severity Index ≥ 15) and arousability (Arousal Predisposition Scale ≥ 32). Beck Anxiety Inventory (β = 0.42) was the best single correlate of Pre‐Sleep Arousal Scale‐Somatic, while Insomnia Severity Index (β = 0.33) was of Pre‐Sleep Arousal Scale‐Cognitive. A Pre‐Sleep Arousal Scale‐Somatic score of 12 or more identified those with clinically significant anxiety with 65% specificity and 65% sensitivity, while a cut‐off score of 14 increased its sensitivity (86%). Self‐reported pre‐sleep somatic arousal may be an index of co‐morbid clinical anxiety in individuals with insomnia. These findings aid clinicians with assessment and treatment, particularly in the absence of clinical guidelines indicating when somatically focused relaxation techniques should be included as part of multicomponent cognitive behavioural treatment of insomnia.     

An open‐ended primary‐care group intervention for insomnia based on a self‐help book – A randomized controlled trial and 4‐year follow‐up

Chronic insomnia is a common and burdensome problem for patients seeking primary care. Cognitive behavioural therapy has been shown to be effective for insomnia, also when presented with co‐morbidities, but access to sleep therapists is limited. Group‐treatment and self‐administered treatment via self‐help books have both been shown to be efficacious treatment options, and the present study aimed to evaluate the effect of an open‐ended group intervention based on a self‐help book for insomnia, adapted to fit a primary‐care setting. Forty primary‐care patients with insomnia (mean age 55 years, 80% women) were randomized to the open‐ended group intervention based on a cognitive behavioural therapy for insomnia self‐help book or to a care as usual/wait‐list control condition. Results show high attendance to group sessions and high treatment satisfaction. Participants in the control group later received the self‐help book, but without the group intervention. The book‐based group treatment resulted in significantly improved insomnia severity, as well as shorter sleep‐onset latency, less wake time after sleep onset, and less use of sleep medication compared with treatment as usual. The improvements were sustained at a 4‐year follow‐up assessment. A secondary analysis found a significant advantage of the combination of the book and the open‐ended group intervention compared with when the initial control group later used only the self‐help book. An open‐ended treatment group based on a self‐help book for insomnia thus seems to be an effective and feasible intervention for chronic insomnia in primary‐care settings.     

Manual‐guided cognitive–behavioural therapy for insomnia delivered by ordinary primary care personnel in general medical practice: a randomized controlled effectiveness trial

Chronic insomnia is a prevalent problem in primary health care and tends to be more serious than insomnia in the general population. These patients often obtain little benefit from hypnotics, and are frequently open to exploring various options for medical treatment. However, most general practitioners (GPs) are unable to provide such options. Several meta‐analyses have shown that cognitive–behavioural therapy (CBT) for insomnia results in solid improvements on sleep parameters, and a few studies have demonstrated promising results for nurse‐administered CBT in primary care. The aim of this randomized controlled study was to investigate the clinical effectiveness of manual‐guided CBT for insomnia delivered by ordinary primary care personnel in general medical practice with unselected patients. Sixty‐six primary care patients with insomnia were randomized to CBT or a waiting‐list control group. The CBT group improved significantly more than the control group using the Insomnia Severity Index as the outcome. The effect size was high. Sleep diaries showed a significant, medium‐sized treatment effect for sleep onset latency and wake time after sleep onset. However, for all measures there is a marked deterioration at follow‐up assessments. Almost half of the treated subjects (47%) reported a clinically relevant treatment effect directly after treatment. It is concluded that this way of delivering treatment may be cost‐effective.     

Validity,potential clinical utility and comparison of a consumer activity tracker and a research‐grade activity tracker in insomnia disorder II: Outside the laboratory

Accurate assessment of sleep can be fundamental for monitoring, managing and evaluating treatment outcomes within diseases. A proliferation of consumer activity trackers gives easy access to objective sleep. We evaluated the performance of a commercial device (Fitbit Alta HR) relative to a research‐grade actigraph (Actiwatch Spectrum Pro) in measuring sleep before and after a cognitive behavioural intervention in insomnia disorder. Twenty‐five individuals with DSM‐5 insomnia disorder (M = 50.6 ± 15.9 years) wore Fitbit and Actiwatch and completed a sleep diary during an in‐laboratory polysomnogram, and for 1 week preceding and following seven weekly sessions of cognitive‐behavioural intervention for insomnia. Device performance was compared for sleep outcomes (total sleep time, sleep latency, sleep efficiency and wake after sleep onset). The analyses assessed (a) agreement between devices across days and pre‐ to post‐treatment, and (b) whether pre‐ to post‐treatment changes in sleep assessed by devices correlated with clinical measures of change. Devices generally did not significantly differ from each other on sleep variable estimates, either night to night, in response to sleep manipulation (pre‐ to post‐treatment) or in response to changes in environment (in the laboratory versus at home). Change in sleep measures across time from each device showed some correlation with common clinical measures of change in insomnia, but not insomnia diagnosis as a categorical variable. Overall, the Fitbit provides similar estimates of sleep outside the laboratory to a research grade actigraph. Despite the similarity between Fitbit and Actiwatch performance, the use of consumer technology is still in its infancy and caution should be taken in its interpretation.     

Discrepancies in sleep diary and actigraphy assessments in adults with fibromyalgia: Associations with opioid dose and age

Sleep diary and actigraphy assessments of insomnia symptoms in patients with fibromyalgia (FM) are often discrepant. We examined whether opioid dose and age interact in predicting magnitude or direction of discrepancies. Participants (N = 199, M = 51.5 years, SD = 11.7) with FM and insomnia completed 14 days of diaries and actigraphy. Multiple regressions determined whether average opioid dose and its interaction with age predicted magnitude or direction of diary/actigraphy discrepancies in sleep onset latency (SOL), wake after sleep onset (WASO) and sleep efficiency (SE), controlling for sex, use of sleep medication, evening pain and total sleep time. Higher opioid dose predicted greater magnitude of discrepancy in SOL and SE. Opioid dose interacted with age to predict direction but not magnitude of discrepancy in SOL and SE. Specifically, higher opioid use was associated with better subjective (shorter SOL, higher SE) than objective reports of sleep among younger adults, and longer subjective than objectively measured SOL among older adults. Opioid dose did not predict magnitude or direction of WASO discrepancies. In FM, a higher opioid dose increases diary/actigraphy SOL and SE discrepancies, and direction of discrepancies may depend on age. We speculate that increased opioid use combined with age‐related factors, such as slow wave sleep disruption, increased awakenings and/or cognitive decline, may impact perceived sleep.     

Sleep patterns and insomnia in a large population‐based study of middle‐aged and older adults: The Tromsø study 2015–2016

Epidemiological studies assessing adult sleep duration have yielded inconsistent findings and there are still large variations in estimation of insomnia prevalence according to the most recent diagnostic criteria. Our objective was to describe sleep patterns in a large population of middle‐aged and older adults, by employing accurate measures of both sleep duration and insomnia. Data stem from the Tromsø Study (2015–2016), an ongoing population‐based study in northern Norway comprising citizens aged 40 years and older (n = 21,083, attendance = 64.7%). Sleep parameters were reported separately for weekdays and weekends and included bedtime, rise time, sleep latency and total sleep time. Insomnia was defined according to recent diagnostic criteria (International Classification of Sleep Disorders; ICSD‐3). The results show that 20% (95% confidence interval,19.4–20.6) fulfilled the inclusion criteria for insomnia. The prevalence was especially high among women (25%), for whom the prevalence also increased with age. For men, the prevalence was around 15% across all age groups. In all, 42% of the women reported sleeping <7 hr (mean sleep duration of 7:07 hr), whereas the corresponding proportion among males was 52% (mean sleep duration of 6:55 hr). We conclude that the proportion of middle‐aged and older adults not getting the recommended amount of sleep is worryingly high, as is also the observed prevalence of insomnia. This warrants attention as a public health problem in this population.     

Posttraumatic sleep disturbances in veterans: A pilot randomized controlled trial of cognitive behavioral therapy for insomnia and imagery rehearsal therapy

Objectives

Posttraumatic stress disorder (PTSD) is associated with sleep disturbances including insomnia and nightmares. This study compared cognitive behavioral therapy for insomnia (CBT-I) with CBT-I combined with imagery rehearsal therapy (IRT) for nightmares to evaluate if the combined treatment led to greater reductions in trauma-related sleep disturbances in Australian veterans.

Methods

Veterans with diagnosed PTSD, high insomnia symptom severity, and nightmares (N = 31) were randomized to eight group CBT-I sessions or eight group CBT-I + IRT sessions. Self-reported sleep, nightmare, and psychological measures (primary outcome: Pittsburgh Sleep Quality Index), and objective actigraphy data were collected; the effect of obstructive sleep apnea (OSA) risk on treatment outcomes was also examined.

Results

No treatment condition effects were detected for the combined treatment compared to CBT-I alone, and no moderating effect of OSA risk was detected. On average, participants from both groups improved on various self-report measures over time (baseline to 3 months posttreatment). Despite the improvements, mean scores for sleep-specific measures remained indicative of poor sleep quality. There were also no significant differences between the groups on the actigraphy indices.

Conclusions

The findings indicate that there is potential to optimize both treatments for veterans with trauma-related sleep disturbances.     

Pre‐ to post‐inpatient treatment of subjective sleep quality in 5,481 patients with mental disorders: A longitudinal analysis

There is only limited evidence of the course of sleep quality and sleep disturbances during acute inpatient treatment and the prediction of/association with treatment outcome in mental disorders. Within this naturalistic study, 5,481 consecutively admitted inpatients completed the Pittsburgh Sleep Quality Index (PSQI) and the Beck Depression Inventory (BDI‐II) at admission and at discharge. Treatment included both individual and group psychotherapy (but no specific interventions for sleep disturbances) and pharmacotherapy based on current national treatment guidelines. Correlation analyses, analyses of variance and linear models were calculated to analyse the datasets. The PSQI improved significantly (p < 0.001) from admission (mean score 9.51 [±4.11]) to discharge (mean score 8.08 [±4.20]) in all diagnostic subgroups. Despite this improvement, 47% of the patients still showed elevated PSQI scores (>5) at discharge. Patients with post‐traumatic stress disorder showed the largest sleep disturbances at both time‐points; patients with obsessive‐compulsive disorder were the least impaired. An improvement of the PSQI was found to be significantly correlated (p < 0.001) to the change of BDI‐II values (without the sleep item) during treatment. The likelihood of achieving remission of depressive symptoms (BDI‐II total score <14) was significantly associated with less sleep disturbances at admission. The results suggest that almost half of inpatients with mental disorders treated successfully with state‐of‐the art specific psychotherapy and pharmacotherapy do not have remission of their sleep problems. Therefore, specific treatment programmes for insomnia should be evaluated and implemented in daily clinical routines.     

Objective but not subjective sleep predicts memory in community‐dwelling older adults

Research on the relationship between habitual sleep patterns and memory performance in older adults is limited. No previous study has used objective and subjective memory measures in a large, older‐aged sample to examine the association between sleep and various domains of memory. The aim of this study was to examine the association between objective and subjective measures of sleep with memory performance in older adults, controlling for the effects of potential confounds. One‐hundred and seventy‐three community‐dwelling older adults aged 65–89 years in Victoria, Australia completed the study. Objective sleep quality and length were ascertained using the Actiwatch 2 Mini‐Mitter, while subjective sleep was measured using the Pittsburgh Sleep Quality Index. Memory was indexed by tests of retrospective memory (Hopkins Verbal Learning Test – Revised), working memory (n‐back, 2‐back accuracy) and prospective memory (a habitual button pressing task). Compared with normative data, overall performance on retrospective memory function was within the average range. Hierarchical regression was used to determine whether objective or subjective measures of sleep predicted memory performances after controlling for demographics, health and mood. After controlling for confounds, actigraphic sleep indices (greater wake after sleep onset, longer sleep‐onset latency and longer total sleep time) predicted poorer retrospective (?R² = 0.05, P = 0.016) and working memory (?R² = 0.05, P = 0.047). In contrast, subjective sleep indices did not significantly predict memory performances. In community‐based older adults, objectively‐measured, habitual sleep indices predict poorer memory performances. It will be important to follow the sample longitudinally to determine trajectories of change over time.     

Insomnia as a mediating therapeutic target for depressive symptoms: A sub‐analysis of participant data from two large randomized controlled trials of a digital sleep intervention

Insomnia predicts the onset of depression, commonly co‐presents with depression and often persists following depression remission. However, these conditions can be challenging to treat concurrently using depression‐specific therapies. Cognitive behavioural therapy for insomnia may be an appropriate treatment to improve both insomnia and depressive symptoms. We examined the effects of a fully‐automated digital cognitive behavioural therapy intervention for insomnia (Sleepio) on insomnia and depressive symptoms, and the mediating role of sleep improvement on depressive symptoms in participants from two randomized controlled trials of digital cognitive behavioural therapy for insomnia. We also explored potential moderators of intervention effects. All participants met criteria for probable insomnia disorder and had clinically significant depressive symptomatology (PHQ‐9 ≥ 10; n = 3,352). Individuals allocated to treatment in both trials were provided access to digital cognitive behavioural therapy. Digital cognitive behavioural therapy significantly improved insomnia (p < .001; g = 0.76) and depressive symptoms (p < .001; g = 0.48) at post‐intervention (weeks 8–10), and increased the odds (OR = 2.9; 95% CI = 2.34, 3.65) of clinically significant improvement in depressive symptoms (PHQ‐9 < 10). Improvements in insomnia symptoms at mid‐intervention mediated 87% of the effects on depressive symptoms at post‐intervention. No variables moderated effectiveness outcomes, suggesting generalizability of these findings. Our results suggest that effects of digital cognitive behavioural therapy for insomnia extend to depressive symptoms in those with clinically significant depressive symptomatology. Insomnia may, therefore, be an important therapeutic target to assist management of depressive symptoms.     

The relationship between a night's sleep and subsequent daytime functioning in older poor and good sleepers

Those suffering insomnia symptoms generally report daytime impairments. However, research has not assessed whether this relationship holds on a nightly basis, despite the strongly held belief that a night of poor sleep impairs mood and functioning the following day. The objective of this study was to test this relationship in a group of older poor sleepers with insomnia symptoms compared with good sleepers. This study utilized a within‐subjects design to investigate day‐to‐day subjective daytime functioning and its relation to the previous night's sleep. Seventeen older individuals (mean age: 67.5 years) were identified with a retrospective questionnaire and 2 weeks of sleep–wake diary to have poor sleep consistent with insomnia. Seventeen good sleepers (mean age: 67.8 years) were selected using the same measures. Participants reported their beliefs about sleep and daytime functioning on the Dysfunctional Beliefs and Attitudes about Sleep Scale (DBAS‐16). One week later they commenced a 14‐day period of sleep–wake diaries and concurrent responses to a modified Daytime Insomnia Symptom Scale (DISS). Results showed significant night‐to‐day covariation between sleep efficiency and daytime functioning for individuals with poor sleep (r = 0.34), but not for good sleepers (r = 0.08). Those poor sleepers who held this covariation belief most strongly were those who subsequently showed this night‐to‐day relationship the most strongly (r = 0.56). This was not true for good sleepers. For those suffering insomnia, these findings demonstrate their belief that a poor sleep is followed by an impaired daytime, consistent with their experience.     

Sleep quality is negatively related to video gaming volume in adults

Most literature on the relationship between video gaming and sleep disturbances has looked at children and adolescents. There is little research on such a relationship in adult samples. The aim of the current study was to investigate the association of video game volume with sleep quality in adults via face‐to‐face interviews using standardized questionnaires. Adults (n = 844, 56.2% women), aged 18–94 years old, participated in the study. Sleep quality was measured using the Pittsburgh Sleep Quality Index, and gaming volume was assessed by asking the hours of gaming on a regular weekday (Mon–Thurs), Friday and weekend day (Sat–Sun). Adjusting for gender, age, educational level, exercise and perceived stress, results of hierarchical regression analyses indicated that video gaming volume was a significant predictor of sleep quality (β = 0.145), fatigue (β = 0.109), insomnia (β = 0.120), bedtime (β = 0.100) and rise time (β = 0.168). Each additional hour of video gaming per day delayed bedtime by 6.9 min (95% confidence interval 2.0–11.9 min) and rise time by 13.8 min (95% confidence interval 7.8–19.7 min). Attributable risk for having poor sleep quality (Pittsburgh Sleep Quality Index > 5) due to gaming >1 h day was 30%. When examining the components of the Pittsburgh Sleep Quality Index using multinomial regression analysis (odds ratios with 95% confidence intervals), gaming volume significantly predicted sleep latency, sleep efficiency and use of sleep medication. In general, findings support the conclusion that gaming volume is negatively related to the overall sleep quality of adults, which might be due to underlying mechanisms of screen exposure and arousal.     

Controlled‐release melatonin,singly and combined with cognitive behavioural therapy,for persistent insomnia in children with autism spectrum disorders: a randomized placebo‐controlled trial

Although melatonin and cognitive–behavioural therapy have shown efficacy in treating sleep disorders in children with autism spectrum disorders, little is known about their relative or combined efficacy. One hundred and sixty children with autism spectrum disorders, aged 4–10 years, suffering from sleep onset insomnia and impaired sleep maintenance, were assigned randomly to either (1) combination of controlled‐release melatonin and cognitive–behavioural therapy; (2) controlled‐release melatonin; (3) four sessions of cognitive–behavioural therapy; or (4) placebo drug treatment condition for 12 weeks in a 1 : 1 : 1 : 1 ratio. Children were studied at baseline and after 12 weeks of treatment. Treatment response was assessed with 1‐week actigraphic monitoring, sleep diary and sleep questionnaire. Main outcome measures, derived actigraphically, were sleep latency, total sleep time, wake after sleep onset and number of awakenings. The active treatment groups all resulted in improvements across all outcome measures, with moderate‐to‐large effect sizes from baseline to a 12‐week assessment. Melatonin treatment was mainly effective in reducing insomnia symptoms, while cognitive–behavioural therapy had a light positive impact mainly on sleep latency, suggesting that some behavioural aspects might play a role in determining initial insomnia. The combination treatment group showed a trend to outperform other active treatment groups, with fewer dropouts and a greater proportion of treatment responders achieving clinically significant changes (63.38% normative sleep efficiency criterion of >85% and 84.62%, sleep onset latency <30 min). This study demonstrates that adding behavioural intervention to melatonin treatment seems to result in a better treatment response, at least in the short term.