Validation of actigraphy with continuous video-electroencephalography in children with epilepsy

Sleep-wake cycle and daytime sleepiness in patients with epilepsy after initiating perampanel as adjunctive therapy

BACKGROUND

Antiseizure medications (ASMs) may affect nocturnal sleep and daytime vigilance. Perampanel (PER), a third-generation ASM, showed to improve nocturnal sleep in patients with epilepsy (PWE). Although ASMs can have beneficial effects on nocturnal sleep and daytime sleepiness, no study investigated the effect of PER on both sleep-wake cycle and daytime sleepiness. Therefore, this study aimed to objectively evaluate the sleep-wake cycle and daytime sleepiness in PWE treated with PER as adjunctive therapy.

METHODS

This prospective study included adult PWE who received PER as add-on treatment. Sleep-wake cycle was assessed through actigraphic monitoring and daytime sleepiness by the multiple sleep latency test (MSLT) performed at the end of the actigraphic recording. All patients performed both tests at baseline and at 6-month follow-up.

RESULTS

Ten patients (mean age: 44.50 ± 22.71 years, 50.0% female) were included. The mean monthly seizure frequency was 3.20 ± 5.94. Six of ten patients started PER as a first add-on treatment. The final PER dose was 5.11 ± 2.02 mg/day, and nine of ten patients achieved seizure freedom at follow-up. There was a significant decrease in mean monthly seizure frequency from baseline to follow-up (p = 0.004). No significant changes were found in the sleep-wake cycle parameters. An increase in sleep latency mean was observed at MSLT at 6-month follow-up (p = 0.005).

CONCLUSIONS

This study confirms that adjunctive PER is effective on seizures without pathologically change of the sleep-wake cycle in PWE and can even improve daytime sleepiness. This effect can be mediated by the achievement of seizure control. Therefore, PER may be promising in PWE with sleep disturbances and daytime sleepiness.

Changing Agendas on Sleep, Treatment and Learning in Epilepsy (CASTLE) Sleep-E: a protocol for a randomised controlled trial comparing an online behavioural sleep intervention with standard care in children with Rolandic epilepsy

INTRODUCTION

Sleep and epilepsy have an established bidirectional relationship yet only one randomised controlled clinical trial has assessed the effectiveness of behavioural sleep interventions for children with epilepsy. The intervention was successful, but was delivered via face-to-face educational sessions with parents, which are costly and non-scalable to population level. The Changing Agendas on Sleep, Treatment and Learning in Epilepsy (CASTLE) Sleep-E trial addresses this problem by comparing clinical and cost-effectiveness in children with Rolandic epilepsy between standard care (SC) and SC augmented with a novel, tailored parent-led CASTLE Online Sleep Intervention (COSI) that incorporates evidence-based behavioural components.

METHODS AND ANALYSES

CASTLE Sleep-E is a UK-based, multicentre, open-label, active concurrent control, randomised, parallel-group, pragmatic superiority trial. A total of 110 children with Rolandic epilepsy will be recruited in outpatient clinics and allocated 1:1 to SC or SC augmented with COSI (SC+COSI). Primary clinical outcome is parent-reported sleep problem score (Children's Sleep Habits Questionnaire). Primary health economic outcome is the incremental cost-effectiveness ratio (National Health Service and Personal Social Services perspective, Child Health Utility 9D Instrument). Parents and children (≥7 years) can opt into qualitative interviews and activities to share their experiences and perceptions of trial participation and managing sleep with Rolandic epilepsy.

ETHICS AND DISSEMINATION

The CASTLE Sleep-E protocol was approved by the Health Research Authority East Midlands (HRA)-Nottingham 1 Research Ethics Committee (reference: 21/EM/0205). Trial results will be disseminated to scientific audiences, families, professional groups, managers, commissioners and policymakers. Pseudo-anonymised individual patient data will be made available after dissemination on reasonable request.

TRIAL REGISTRATION NUMBER

ISRCTN13202325.

Applicability of Actigraphy for Assessing Sleep Behaviour in Children with Palliative Care Needs Benchmarked against the Gold Standard Polysomnography

In children with life-limiting conditions and severe neurological impairment receiving pediatric palliative care (PPC), the degree to which actigraphy generates meaningful sleep data is uncertain. Benchmarked against the gold standard polysomnography (PSG), the applicability of actigraphy in this complex population was to be assessed. An actigraph was placed on N = 8 PPC patients during one-night polysomnography measurement in a pediatric tertiary care hospital's sleep laboratory. Patient characteristics, sleep phase data, and respiratory abnormalities are presented descriptively. Bland-Altman plots evaluated actigraphy's validity regarding sleep onset, sleep offset, wake after sleep onset (WASO), number of wake phases, total sleep time (TST) and sleep efficiency compared to PSG. PSG revealed that children spent most of their time in sleep stage 2 (46.6%) and most frequently showed central apnea (28.7%) and irregular hypopnea (14.5%). Bland-Altman plots showed that actigraphy and PSG gave similar findings for sleep onset, sleep offset, wake after sleep onset (WASO), total sleep time (TST) and sleep efficiency. Actigraphy slightly overestimated TST and sleep efficiency while underestimating all other parameters. Generally, the Actiwatch 2 low and medium sensitivity levels showed the best approximation to the PSG values. Actigraphy seems to be a promising method for detecting sleep problems in severely ill children.

Validation of actigraphy for sleep measurement in children with cerebral palsy

Objectives:

Sleep issues are common in children with cerebral palsy (CP), although there are challenges in obtaining objective data about their sleep patterns. Actigraphs measure movement to quantify sleep but their accuracy in children with CP is unknown. Our goals were to validate actigraphy for sleep assessment in children with CP and to study their sleep patterns in a cross-sectional cohort study. Methods: We recruited children with (N = 13) and without (N = 13) CP aged 2–17 years (mean age 9 y 11mo [SD 4 y 10mo] range 4–17 y; 17 males, 9 females; 54% spastic quadriplegic, 23% spastic diplegic, 15% spastic hemiplegic, 8% unclassified CP). We obtained wrist and forehead actigraphy with concurrent polysomnography for one night, and home wrist actigraphy for one week. We developed actigraphy algorithms and evaluated their accuracy (agreement with polysomnography-determined sleep versus wake staging), sensitivity (sleep detection), and specificity (wake detection).

Results:

Our actigraphy algorithms had median 72–80% accuracy, 87–91% sensitivity, and 60–71% specificity in children with CP and 86–89% accuracy, 88–92% sensitivity, and 70–75% specificity in children without CP, with similar accuracies in wrist and forehead locations. Our algorithms had increased specificity and accuracy compared to existing algorithms, facilitating detection of sleep disruption. Children with CP showed lower sleep efficiency and duration than children without CP.

Conclusions:

Actigraphy is a valid tool for sleep assessment in children with CP. Children with CP have worse sleep efficiency and duration.

More than sleep and wake disturbances: An actigraphic study showing the sleep-wake pattern dysregulation in epilepsy

OBJECTIVE

This study aimed to assess the sleep-wake pattern in patients with epilepsy compared to controls.

METHODS

Patients with epilepsy and controls underwent a 14-day actigraphic recording to evaluate the rest-activity cycle. A sleep medicine interview was performed to exclude conditions interfering with the sleep-wake cycle in both patients and controls. Patients presenting seizures during the actigraphic recording were excluded. Daytime activity, nocturnal sleep, and non-parametric circadian rhythm activity (NPCRA) were analysed.

RESULTS

Twenty-two patients (mean age 49.5 ± 19.84 years; 50% female) and 17 controls were included. Patients showed lower sleep efficiency and longer sleep latency than controls. NPCRA analysis showed lower inter-daily stability and higher intra-daily variability in patients, who also presented lower daytime activity and a longer central phase measure (CPM) than controls.

CONCLUSIONS

Patients showed a significant alteration of the sleep-wake pattern, featured by lower synchronization and higher fragmentation of the rest-activity rhythm. Moreover, patients showed a delayed CPM compared with controls, corresponding to an evening chronotype tendency. Nocturnal sleep alteration and lower daytime activity were also evident. Therefore, patients with epilepsy present an alteration of the sleep-wake pattern and clinicians should increase their awareness about circadian rhythmicity dysregulation in epilepsy.

Screen Time Exposure and Altered Sleep in Young Children With Epilepsy

PURPOSE

To examine the association between daily screen time exposure and both sleep patterns (sleep onset, sleep offset, and nighttime, and daily sleep durations) and sleep disturbances among a clinical sample of children with epilepsy.

DESIGN

A cross-sectional actigraphic sleep study.

METHODS

A convenience sample of 141 children with epilepsy (1.5-6 years of age) was recruited from an outpatient pediatric neurology clinic of a university-affiliated children's hospital in northern Taiwan. Participating families completed questionnaires and reported children's screen time use, with children wearing an actigraphy monitor for 7 days to assess sleep patterns. Multivariable linear regression analyses were conducted to examine the association of screen time exposure with the child's sleep patterns and sleep disturbance scores.

FINDINGS

Mean minutes per day of screen time exposure was 89.79 ± 83.94 min, with 62 parents (44.0%) reporting their child having >1 hr of screen time daily. Mean daily sleep duration was 9.26 ± 1.01 hr, with 106 children (93.0%) sleeping <10 hr in a 24-hr period. In multivariate regression models, daily screen time exposure of >1 hour was associated with 23.4-min later sleep onset (b = 0.39, p = .02), 20.4-min later sleep offset (b = 0.34, p = .04), and more severe sleep disturbances (b = 2.42, p = .04).

CONCLUSIONS

In toddlers and preschool-age children with epilepsy, daily screen time exposure is greater and sleep duration is shorter than the recommended amount, with increased screen time exposure associated with disturbed sleep.

CLINICAL RELEVANCE

Parents need to be informed about the possible adverse impact of screen time exposure on children's sleep and health as well as the importance of limiting screen time exposure to <1 hr per day for their toddlers and preschool-age children with epilepsy.

Automatic sleep stage classification based on subcutaneous EEG in patients with epilepsy

Background

The interplay between sleep structure and seizure probability has previously been studied using electroencephalography (EEG). Combining sleep assessment and detection of epileptic activity in ultralong-term EEG could potentially optimize seizure treatment and sleep quality of patients with epilepsy. However, the current gold standard polysomnography (PSG) limits sleep recording to a few nights. A novel subcutaneous device was developed to record ultralong-term EEG, and has been shown to measure events of clinical relevance for patients with epilepsy. We investigated whether subcutaneous EEG recordings can also be used to automatically assess the sleep architecture of epilepsy patients.

Method

Four adult inpatients with probable or definite temporal lobe epilepsy were monitored simultaneously with long-term video scalp EEG (LTV EEG) and subcutaneous EEG. In total, 11 nights with concurrent recordings were obtained. The sleep EEG in the two modalities was scored independently by a trained expert according to the American Academy of Sleep Medicine (AASM) rules. By using the sleep stage labels from the LTV EEG as ground truth, an automatic sleep stage classifier based on 30 descriptive features computed from the subcutaneous EEG was trained and tested.

Results

An average Cohen’s kappa of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\kappa = 0.78\pm 0.02$$\end{document}κ=0.78±0.02 was achieved using patient specific leave-one-night-out cross validation. When merging all sleep stages into a single class and thereby evaluating an awake–sleep classifier, we achieved a sensitivity of 94.8% and a specificity of 96.6%. Compared to manually labeled video-EEG, the model underestimated total sleep time and sleep efficiency by 8.6 and 1.8 min, respectively, and overestimated wakefulness after sleep onset by 13.6 min.

Conclusion

This proof-of-concept study shows that it is possible to automatically sleep score patients with epilepsy based on two-channel subcutaneous EEG. The results are comparable with the methods currently used in clinical practice. In contrast to comparable studies with wearable EEG devices, several nights were recorded per patient, allowing for the training of patient specific algorithms that can account for the individual brain dynamics of each patient. Clinical trial registered at ClinicalTrial.gov on 19 October 2016 (ID:NCT02946151).

Behavioral-educational sleep interventions for pediatric epilepsy: a randomized controlled trial

Study Objectives

To evaluate the effect of a clinic-based, behavioral-educational sleep intervention on sleep of children with epilepsy, maternal knowledge about childhood sleep, and maternal sleep quality.

Methods

A total of 100 toddlers and preschool-age children with epilepsy (1.5–6 years, 55% boys) and their parents were randomized to receive sleep intervention (n = 50) or usual care with attention (n = 50). Outcomes were assessed at baseline, 3, 6, and 12 months after intervention with the use of objective actigraphy, Children’s Sleep Habits Questionnaire, Parents’ Sleep Knowledge Inventory, and Pittsburgh Sleep Quality Index. Intervention effects were examined using general linear models for repeated measurements to compare the mean change in outcomes from baseline to 12 months post-intervention between the two groups.

Results

Sleep intervention resulted in children having greater sleep efficiency by 2.03% compared with the usual care group (95% CI = 0.20% to 3.86%; p = .03). Children in the intervention group also had significantly longer total nighttime sleep as objectively assessed by actigraphy than did those in the usual care group, with an adjusted mean difference of 16.13 minutes (95% CI = 0.24% to 32.03%; p = .04). No intervention effects were observed for maternal knowledge about childhood sleep, and maternal sleep quality.

Conclusion

Sleep intervention provided during routine neurologic visits results in significant, measurable, and sustained benefits in sleep quality and quantity in children with epilepsy. Future trials are warranted to evaluate whether improvements in sleep could impact health-related quality of life or other aspects of functioning in children with epilepsy.

Clinical Trial

This trial has been registered at www.clinicaltrials.gov (trial name: Sleep Intervention for Pediatric Epilepsy; registration number: NCT02514291).

Night-to-Night Variability in the Bedtime Routine Predicts Sleep in Toddlers

The present study examined relations between nightly bedtime routines and sleep outcome measures in a sample of 185 toddlers aged 30 months. Parents reported on their toddler's sleep duration and the length and activities included in the bedtime routine each night for approximately 2 weeks. Toddlers wore actigraphs to track their sleep during the same time period. Correlation, mean difference, and regression analyses indicated that toddlers experienced different bedtime routines and exhibited differences in parent reported sleep duration between weeknights and weekends. Multi-level models revealed that variability in the bedtime routine on an individual night most consistently affected parent reported sleep duration on that night. Differences in the bedtime routines between weeknights and weekends also affected actigraph recorded sleep duration and sleep efficiency. Results suggest that keeping consistent bedtime routines between weeknights and weekends is important for optimal sleep outcomes.

Sleep and Behavior Problems in Children With Epilepsy

We designed a cross-sectional study to examine the association between sleep and behavior problems in toddlers and preschool-age children with epilepsy. We found that 71 (78.9%) children slept less than 10 hours in a 24-hour period according to the actigraphy, with 75 (83.3%) children waking for more than an hour during nocturnal sleep. Twenty-five (27.8%) children usually or sometimes had an inconsistent bedtime, and 24 (26.7%) did not sleep the same amount each day. Twenty-nine (32.2%) and 18 (20.0%) children had an internalizing and externalizing problem in clinical range, respectively. Sleep anxiety was significantly (p < .01) associated with increased internalizing and externalizing problems, even after the relevant epilepsy variables were controlled for. Findings from our study suggest that screening of sleep and behavior problems should be part of routine epilepsy care to identify children with problematic sleep and unrecognized sleep disorders and those at risk of behavioral dysfunction.

Reduced insulin sensitivity is correlated with impaired sleep in adolescents with cystic fibrosis

BACKGROUND

Prevalence of cystic fibrosis-related diabetes (CFRD) rises sharply in adolescence/young-adulthood and is associated with increased morbidity/mortality. Sleep may be a modifiable risk factor for diabetes but its relationship with metabolic function has not been fully examined in youth with CF. The aim of the study was to examine the relationship between objectively measured sleep and glucose metabolism in youth with CF.

METHODS

Adolescents (43 with CF and 11 healthy controls) completed 1-week of concurrent home continuous glucose monitoring (CGM) and actigraphy. Fasting labs and an oral glucose tolerance test were obtained. T-tests and analysis of variance (ANOVA) were used to test differences between actigraphy outcomes in CF participants and controls. Spearman's rank correlation coefficients were used to test for correlations between actigraphy, CGM, and insulin sensitivity (IS) measures.

RESULTS

All participants averaged insufficient sleep (mean = 7.5 hours per night) compared to the 8 to 10 hours recommended for this age group. CF participants had poorer sleep by actigraphy measures than healthy controls. Higher minimum daytime glucoses on CGM correlated with shorter total sleep time (TST) and worse sleep efficiency (SE). Reduced IS in CF participants with dysglycemia was correlated with shorter TST, longer sleep latency, more wake after sleep onset, and poorer SE.

CONCLUSIONS

Poor sleep appears to correlate with higher blood glucose and lower IS in CF adolescents with dysglycemia. Further research is needed to better understand the mechanisms and directionality behind this relationship.

Quality of life, sleep and rheumatoid arthritis (QUASAR): a protocol for a prospective UK mHealth study to investigate the relationship between sleep and quality of life in adults with rheumatoid arthritis

INTRODUCTION

People with rheumatoid arthritis (RA) frequently report reduced health-related quality of life (HRQoL), the impact one's health has on physical, emotional and social well-being. There are likely numerous causes for poor HRQoL, but people with RA have identified sleep disturbances as a key contributor to their well-being. This study will identify sleep/wake rhythm-associated parameters that predict HRQoL in patients with RA.

METHODS AND ANALYSIS

This prospective cohort study will recruit 350 people with RA, aged 18 years or older. Following completion of a paper-based baseline questionnaire, participants will record data on 10 symptoms including pain, fatigue and mood two times a day for 30 days using a study-specific mobile application (app). A triaxial accelerometer will continuously record daytime activity and estimate evening sleep parameters over the 30 days. Every 10 days following study initiation, participants will complete a questionnaire that measures disease specific (Arthritis Impact Measurement Scale 2-Short Form (AIMS2-SF)) and generic (WHOQOL-BREF) quality of life. A final questionnaire will be completed at 60 days after entering the study. The primary outcomes are the AIMS2-SF and WHOQOL-BREF. Structural equation modelling and latent trajectory models will be used to examine the relationship between sleep/wake rhythm-associated parameters and HRQoL, over time.

ETHICS AND DISSEMINATION

Results from this study will be disseminated at regional and international conferences, in peer-reviewed journals and Patient and Public Engagement events, as appropriate.

Agreement Between Actigraphy and Diary-Recorded Measures of Sleep in Children With Epilepsy

PURPOSE

To describe sleep patterns in young children with epilepsy and to examine levels of agreement between measurements derived from actigraphy and diary recordings.

DESIGN

Cross-sectional study.

METHODS

Eighty-nine toddlers and preschool-aged children with epilepsy wore an actigraph on their wrists for 7 consecutive days. Parents and caregivers maintained a concurrent sleep diary while the child was wearing the monitor. Levels of agreement between actigraphy and diary recordings were examined using the Bland and Altman method separately for all recording days, weekdays, and weekends.

FINDINGS

Discrepancies between actigraphy-derived and diary-documented sleep onset, sleep offset, actual sleep at night, wake after sleep onset, and daytime sleep were ±35, ±15, ±82, ±70, and ±29 min, respectively. Differences between actigraphy and diary-derived sleep variables were consistently greater for weekends than for weekdays. Discrepancies between actigraphy and diary-derived actual sleep at night were significantly greater for children who slept alone than for those who co-slept with a parent.

CONCLUSIONS

Our study demonstrates an acceptable agreement between actigraphy and diary recordings for sleep onset, sleep offset, and daytime sleep, but insufficient agreement for actual sleep at night and wake after sleep onset, with parents of children sleeping alone more likely to misestimate child sleep behaviors. Deviation of weekend sleep from weekdays further decreased the accuracy of parental sleep estimates and increased the discrepancies between actigraphy and diary.

CLINICAL RELEVANCE

Sleep in children with epilepsy assessed using diary recordings alone could be misleading, and actigraphy should be preferred over diaries when resources are available.

Predictors of Nightly Subjective-Objective Sleep Discrepancy in Poor Sleepers over a Seven-Day Period

This study sought to examine predictors of subjective/objective sleep discrepancy in poor sleepers. Forty-two individuals with insomnia symptoms (mean age = 36.2 years, 81% female) were recruited to take part in a prospective study which combined seven days of actigraphy with daily assessment of sleep perceptions, self-reported arousal, sleep effort, and mood upon awakening. A high level of intra-individual variability in measures of sleep discrepancy was observed. Multilevel modelling revealed that higher levels of pre-sleep cognitive activity and lower mood upon awakening were significantly and independently predictive of the underestimation of total sleep time. Greater levels of sleep effort predicted overestimation of sleep onset latency. These results indicate that psychophysiological variables are related to subjective/objective sleep discrepancy and may be important therapeutic targets in the management of insomnia.

Patient-centered design criteria for wearable seizure detection devices

INTRODUCTION

Epilepsy is a common neurological condition. Seizure diary reports and patient- or caregiver-reported seizure counts are often inaccurate and underestimated. Many caregivers express stress and anxiety about the patient with epilepsy having seizures when they are not present. Therefore, a need exists for the ability to recognize and/or detect a seizure in the home setting. However, few studies have inquired on detection device features that are important to patients and their caregivers.

METHODS

A survey instrument utilizing a population of patients and caregivers was created to obtain information on the design criteria most desired for patients with epilepsy in regard to wearable devices.

RESULTS

One thousand one hundred sixty-eight responses were collected. Respondents thought that sensors for muscle signal (61.4%) and heart rate (58.0%) would be most helpful followed by the O₂ sensor (41.4%). There was more interest in these three sensor types than for an accelerometer (25.5%). There was very little interest in a microphone (8.9%), galvanic skin response sensor (8.0%), or a barometer (4.9%). Based on a rating scale of 1-5 with 5 being the most important, respondents felt that "detecting all seizures" (4.73) is the most important device feature followed by "text/email alerts" (4.53), "comfort" (4.46), and "battery life" (4.43) as an equally important group of features. Respondents felt that "not knowing device is for seizures" (2.60) and "multiple uses" (2.57) were equally the least important device features. Average ratings differed significantly across age groups for the following features: button, multiuse, not knowing device is for seizures, alarm, style, and text ability. The p-values were all<0.002. Eighty-two point five percent of respondents [95% confidence interval: 80.0%, 84.7%] were willing to pay more than $100 for a wearable seizure detection device, and 42.8% of respondents [95% confidence interval: 39.8%, 45.9%] were willing to pay more than $200.

CONCLUSIONS

Our survey results demonstrated that patients and caregivers have design features that are important to them in regard to a wearable seizure detection device. Overall, the ability to detect all seizures rated highest among respondents which continues to be an unmet need in the community with epilepsy in regard to seizure detection. Additional uses for a wearable were not as important. Based on our results, it is important that an alert (via test and/or email) for events be a portion of the system. A reasonable price point appears to be around $200 to $300. An accelerometer was less important to those surveyed when compared with the use of heart rate, oxygen saturation, or muscle twitches/signals. As further products become developed for use in other health arenas, it will be important to consider patient and caregiver desires in order to meet the need and address the gap in devices that currently exist.

Assessment for the possibility of a first night effect for wrist actigraphy in adolescents

OBJECTIVES

Evidence of a 'first night effect' has been documented for polysomnography. The possibility of this has not been previously assessed in wrist actigraphy, yet may have important implications for the study design of future sleep research. We sought to examine potential evidence of a 'first night effect' for wrist actigraphy in adolescents across weekdays and weekend nights for multiple sleep outcomes.

DESIGN

3-year prospective cohort study (Midlands Adolescent Schools Sleep Education Study).

SETTING

8 secondary schools in the Midlands region of the UK.

PARTICIPANTS

Adolescents (aged 11-13 years at baseline) were recruited to the study and were requested to wear a wrist actigraph for 7 consecutive days/nights at baseline and then annually for 2 years during the second term of the academic year.

PRIMARY OUTCOME MEASURES

We compared multiple sleep outcomes (total sleep time, wake after sleep onset, sleep efficiency, sleep onset latency, number of awakenings, length of awakenings, sleep onset time) when the device was worn on a weekday and weekend and compared these to other nights to identify possible evidence of a 'first night effect' for wrist actigraphy.

RESULTS

No significant differences were found between any sleep outcomes when the first night of wrist actigraphy was on a weekday compared with other weekdays. When the first night was measured on a weekend (Friday), average total sleep time was significantly greater (486±5 min) compared with the second night (Saturday; 469±6 min), p=0.01.

CONCLUSIONS

We found no evidence to support a 'first night effect' for wrist actigraphy in our adolescent sample. The first night of actigraphy data should not be disregarded in future studies that deploy this technique to measure sleep over prolonged time periods.

Relations Between Toddler Sleep Characteristics, Sleep Problems, and Temperament

Two sources of information (parent-reported sleep diaries and actigraph records) were used to investigate how toddler sleep characteristics (bed time/sleep onset, wake time/sleep offset, total nighttime sleep, and total sleep time) are related to sleep problems and temperament. There were 64 toddler participants in the study. Consistent with studies of older children, parent reports differed from actigraph-based records. The findings that parent-reported and actigraph-recorded sleep characteristics varied as a function of parent report of toddler sleep problems and temperament add needed information on toddler sleep. Such information may contribute to improving parents' awareness of their child's sleep characteristics and correlates of problem sleep.