scholarly journals Do Parental Expectations Play a Role in Children's Sleep and Mothers' Distress? An Exploration of the Goodness of Fit Concept in 54 Mother-Child Dyads

2011 ◽  
Vol 2011 ◽  
pp. 1-8 ◽  
Author(s):  
Helene Werner ◽  
Oskar G. Jenni
Keyword(s):  
Goodness Of Fit ◽  
Sleep Onset ◽  
Parental Expectations ◽  
Onset Time ◽  
Kindergarten Children ◽  
Parental Distress ◽  
Time In Bed ◽  
Falling Asleep ◽  
Wake Patterns ◽  
Children’S Sleep

This study describes parental expectations for sleep-wake patterns in healthy kindergarten children and explores their relation to children’s sleep quality and parental distress. Data analysis of 54 mother-child dyads (age range of the children: 4–7 years) indicated that parental expectations for children’s sleep-wake patterns differ between scheduled and free days and depend on children’s chronotype. Mothers of children with late chronotype showed less adequate expectations for children’s sleep onset time than mothers of children with early chronotype (e.g., morning types). Furthermore, children of mothers with less adequate expectations for children’s sleep onset time on scheduled days had longer settling periods during which sleep rituals may take place (r=0.31,P≤0.05), spent more time in bed than they actually sleep (r=0.35,P≤0.01), and had more frequently difficulties falling asleep (r=0.33,P≤0.01). However, less adequate expectations for children’s sleep onset time were not associated with parental distress (P>0.05). We conclude that parental expectations about their children’s sleep play a key role in understanding normal and abnormal sleep during childhood.

scholarly journals Influence of Carbohydrate on the Stages of Sleep – A Meta-Analysis

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 896-896
Author(s):  
David Benton ◽  
Anthony Bloxham ◽  
Chantelle Gaylor ◽  
Hayley Young
Keyword(s):  
Slow Wave Sleep ◽  
Meta Analysis ◽  
Sleep Onset ◽  
Onset Time ◽  
Sleep Efficiency ◽  
Glucose Levels ◽  
Funding Sources ◽  
Time In Bed ◽  
Falling Asleep ◽  
High Level

Abstract Objectives Carbohydrate is the nutrient most commonly said to influence sleep: it is proposed that a high intake increases the uptake of tryptophan by the brain, where it is metabolized into serotonin and melatonin. As this mechanism depends on the relative amount of carbohydrate and protein, studies were reviewed where diets differed in these macro-nutrients. Methods The Web of Science and Medline were interrogated using terms related to carbohydrate and sleep. Papers were retained if two diets, differing in the percentage of calories coming from carbohydrate, had been contrasted using either polysomnography or actigraphy. Measures considered with polysomnography included sleep onset time; sleep efficiency; rapid eye-movement (REM) and slow wave sleep (SWS). Measures examined from actigraphy included: sleep efficiency; duration of sleep. Meta-analysis was conducted using Review Manager 5.2 (Cochrane) using a random-effects model. Results With the polysomnography measures six studies met the inclusion criteria. A lesser consumption of carbohydrate was associated with more SWS (SMD = 0.47; CI 0.06 – 0.88; P = 0.02; I2 = 0%) and less REM (SMD = – 0.47, CI –0.87– –0.07, P = 0.02, I2 = 0%). A lower intake of carbohydrate was also associated with a shorter time before falling asleep (P = 0.03; I2 0%). Sleep efficiency is the percentage of time spent asleep, relative to the total time in bed. Using polysomnography there was a trend for better sleep efficiency to be associated with with a lower intake of carbohydrate, although it just missed significance (P = 0.06). However, using actigraphy those eating less carbohydrate were more sleep efficient (SMD = 1.25; CI 0.35 – 2.15; P = 0.007; I2 = 0%). Conclusions No study had the high level of carbohydrate needed to raise tryptophan; rather studies had enough protein to reduce the uptake of tryptophan. A novel possibility is that blood glucose levels modulate sleep. Glucose metabolism varies; it is less during SWS and greater with REM. There are many reports associating the nature of sleep with glucose tolerance. As several hormones control glucose levels, some stimulated by the level of glucose, there is a need to consider diet hormonal interactions. As SWS is believed to be restorative and aid plasticity, increasing SWS with lower carbohydrate have may functional implications. Funding Sources No external funding.

scholarly journals Sleep problems in 0-36 months old Indonesian children with atopic dermatitis

2019 ◽  
Author(s):  
I. Irwanto ◽  
Hapsari W. Ningtiar ◽  
Taufiq Hidayat ◽  
Azwin M. Putera ◽  
Zahrah Hikmah ◽  
...  
Keyword(s):  
Atopic Dermatitis ◽  
Sleep Problems ◽  
Sleep Onset ◽  
Onset Time ◽  
Skin Condition ◽  
Chi Square ◽  
Falling Asleep ◽  
Chi Square Test ◽  
And Behavior ◽  
And Control

Atopic dermatitis (AD) is a chronic, relapsing, highly pruritic skin condition that develops in early childhood. Sleep problems are common in AD children and lead to impaired quality of life, disturbance of neurocognitive function and behavior. The aim of this study was to assess the prevalence of sleep problems in 0-36 months old Indonesian children with AD. Children aged 0-36 months were enrolled, divided into two groups, AD and control. Sleep problems and AD were assessed using Brief Infant Sleep Questionnaire (BISQ) and Severity Scoring of Atopic Dermatitis Index (SCORAD). Chi-square test was performed to compare the outcome. There were 35 children participating in each group. In children with sleep problems, 85.7% were diagnosed with AD and 11.4% were non-AD. Nocturnal sleep duration, night waking, nocturnal wakefulness, sleep onset time, method of falling asleep and parental consideration of sleep problems occur more often within AD group. Severity of AD also significantly contributes to sleep problems in AD group. In conclusion, this study showed that sleep problems are more prevalent in children with AD.

scholarly journals Time to Take Sleeping Pills and Subjective Satisfaction among Cancer Patients

2020 ◽  
Vol 17 (3) ◽  
pp. 249-255 ◽  
Author(s):  
Soyoung Youn ◽  
Byeongil Choi ◽  
Suyeon Lee ◽  
Changnam Kim ◽  
Seockhoon Chung
Keyword(s):  
Patient Satisfaction ◽  
Cancer Patients ◽  
Sleep Onset ◽  
Onset Time ◽  
Sleeping Pills ◽  
Time In Bed ◽  
Daytime Activity ◽  
Ingestion Time ◽  
Administration Time ◽  
Time Variables

Objective We investigated the influence of the time to take hypnotics and daytime activity on patient satisfaction with sleeping pills.Methods Ninety-six cancer patients who were currently taking benzodiazepine or z-drug as hypnotics were grouped into satisfied and dissatisfied groups. The subjects’ symptoms, time to take sleeping pills, bedtime, sleep onset time, wake up time, and time in bed within 24 hours (TIB/d) were obtained.Results The satisfied group had significantly late sleeping pill ingestion time (p=0.04); significantly early wake up time (p=0.01); and significantly shorter sleep latency, TIB/d, duration from the administration of pills to sleep onset, and duration from the administration of pills to wake up time (PTW). Logistic regression analysis revealed that the significant predictors of patient satisfaction to hypnotics were less severity of insomnia [odds ratio (OR)=0.91] and the time variables, including late sleeping pill administration time (OR=1.53) and early wake up time (OR=0.57). Among the duration variables, short PTW (OR=0.30) and short TIB/d (OR=0.64) were significantly related with the satisfaction to hypnotics.Conclusion Reducing the duration from the administration of hypnotics to wake up time and TIB/d can influence the satisfaction to sleeping pills.

Adaptation of the Composite Scale of Morningness for Parent Report and Results from Kindergarten Children

2014 ◽  
Vol 73 (1) ◽  
pp. 35-39 ◽  
Author(s):  
Christoph Randler ◽  
Yvonne Truc
Keyword(s):  
Age Groups ◽  
Sleep Onset ◽  
Well Being ◽  
Early Morning ◽  
Parent Report ◽  
Time Of Day ◽  
Kindergarten Children ◽  
Composite Scale ◽  
Time In Bed ◽  
Few Data

Chronotype, or morningness-eveningness, refers to a person’s preference for a given time of day for intellectual and/or physical activities. It has many implications on health, well-being, performance, and daytime functioning. Because few data are available on prepubertal children, we assessed morningness-eveningness in kindergarten children using a parent-report scale, which was an adapted version of the Composite Scale of Morningness (CSM), and sleep-wake variables. A total of 199 parents of children from 15 kindergartens participated in the study. The CSM scores were relatively high, with a mean above 40 for all age groups, which clearly indicates that young children are early morning larks. Weekend wake-up times, rise times, bedtimes, and sleep-onset times were later than on weekdays. Sleep length did not differ in this respect, but time in bed was longer on weekends. Midpoint of sleep was earlier on weekdays. Wake times, rise times, bedtimes, and sleep-onset times were inversely correlated with the CSM score, suggesting that morning-oriented children woke up, got out of bed, went to bed, and fell asleep earlier than evening-oriented children. CSM scores correlated negatively with midpoint of sleep. Age correlated with CSM scores and midpoint of sleep.

Losing Sleep Over It: Sleep in Basketball Players Affected by Game But Not Training Workloads

2020 ◽  
Vol 15 (8) ◽  
pp. 1117-1124
Author(s):  
Jordan L. Fox ◽  
Aaron T. Scanlan ◽  
Robert Stanton ◽  
Cody J. O’Grady ◽  
Charli Sargent
Keyword(s):  
Heart Rate ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Sleep Onset ◽  
Onset Time ◽  
Rating Of Perceived Exertion ◽  
Self Report ◽  
Basketball Players ◽  
Time In Bed ◽  
The Impact

Purpose: To examine the impact of workload volume during training sessions and games on subsequent sleep duration and sleep quality in basketball players. Methods: Seven semiprofessional male basketball players were monitored across preseason and in-season phases to determine training session and game workloads, sleep duration, and sleep quality. Training and game data were collected via accelerometers, heart-rate monitors, and rating of perceived exertion (RPE) and reported as PlayerLoad™ (PL), summated heart-rate zones, and session RPE (sRPE). Sleep duration and sleep quality were measured using wrist-worn activity monitors in conjunction with self-report sleep diaries. For daily training sessions and games, all workload data were independently sorted into tertiles representing low, medium, and high workload volumes. Sleep measures following low, medium, and high workloads and control nights (no training/games) were compared using linear mixed models. Results: Sleep onset time was significantly later following medium and high PL and sRPE game workloads compared with control nights (P < .05). Sleep onset time was significantly later following low, medium, and high summated heart-rate-zones game workloads, compared with control nights (P < .05). Time in bed and sleep duration were significantly shorter following high PL and sRPE game workloads compared with control nights (P < .05). Following low, medium, and high training workloads, sleep duration and quality were similar to control nights (P > .05). Conclusions: Following high PL and sRPE game workloads, basketball practitioners should consider strategies that facilitate longer time in bed, such as napping and/or adjusting travel or training schedules the following day.

scholarly journals 0964 Out Like a Light: Preliminary Results of Parent-Child Dyad Use of an Audio-Based Mobile Application Aiding Bedtime Routine and Sleep Health

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A366-A366
Author(s):  
A Chung ◽  
N Chanko ◽  
J Blanc ◽  
T Donley ◽  
R Robbins ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Sleep Onset ◽  
Healthy Children ◽  
Sleep Health ◽  
Sleep Behavior ◽  
Number Of Children ◽  
Falling Asleep ◽  
Children’S Sleep ◽  
Bedtime Routine ◽  
Parent Child

Abstract Introduction Adequate sleep is essential for a child’s growth and development. However, a growing number of children are experiencing trouble falling asleep. Smartphone audio-based mobile applications with soothing melodies and calming nighttime stories may improve sleep onset. Our study examined the efficacy of Moshi Twilight, an app designed to improve sleep onset, among children ages 3-8 years old using a parent-child dyadic approach. Methods Our within-subjects pre-post study design focused on healthy children studied over 10 days, spanning 3 weeknights and 2 weekend nights. During the baseline (Days 1-5) and exposure (Days 6-10) conditions the Child Sleep Health Questionnaire was used to measure children’s sleep behavior. The PROMIS and Pittsburgh Sleep Quality Index were used to assess parents’ sleep quality. Parents exposed their child to 1 story per night (15-20 minutes) during the exposured condition. Statistical analysis was based on paired t-tests, independent t-tests, and correlations. Results On average, participating parents were 37 (SD +9.6) year-old mothers. The sample was: 60% Black; 20% White, 20% other race/ethnicity. On average, children were 4 (SD + 0.78) years old and 50% male. Paired t-tests showed significant differences in children’s sleep onset within 20 minutes (t=2.582, 95% CI 0.116, 2.634, p= 0.036). Significant correlations were noted for children’s bedtime consistency (r = -0.755, p = 0.030), falling asleep in own bed (r = 0.735, p=0.015) and sleep duration (r = -0.715, p=0.046,) Significant correlations and paired t-test in parents’ sleep onset were also found (r = 0.744, p = 0.014); (mean= -1.2, t= -3.674, 95% CI -1.939, -0.461, p=0.005) Conclusion Our results showed that the audio-based sleep app, Moshi Twilight, might be useful in improving sleep health among both children and parents. This could be included in enhance bedtime routine among preschool-aged children. Support Bezos Grant and Community Service Plan grant.

scholarly journals P086 The organization of sleep-wake patterns around daily schedules in college students

2021 ◽  
Vol 2 (Supplement_1) ◽  
pp. A49-A49
Author(s):  
S Lu ◽  
E Klerman ◽  
J Stone ◽  
A McHill ◽  
L Barger ◽  
...  
Keyword(s):  
College Students ◽  
Total Sleep Time ◽  
Sleep Onset ◽  
Total Duration ◽  
Onset Time ◽  
Sleep Time ◽  
Previous Night ◽  
Daily Schedule ◽  
Wrist Actigraphy ◽  
Wake Patterns

Abstract A potential contributor to insufficient sleep among college students is their daily schedule, with sleep sacrificed for other waking activities. We investigated how daily schedules predict day-to-day sleep-wake timing in college students. 223 undergraduate college students (M±SD = 19.2±1.4 years, 37% females) attending a Massachusetts university in the US between 2013–2016 were monitored for approximately 30 days during semester. Sleep-wake timing was measured using daily online sleep diaries and wrist-actigraphy. Daily schedules were measured using daily online diaries that included self-reported timing and duration of academic, exercise-based, and extracurricular activities, and duration of self-study. Linear mixed models were used to examine the association between sleep-wake patterns and daily schedules at both the between-person and within-person levels. An earlier start time of the first-reported activity predicted earlier sleep onset (between and within: p&lt;.001) and shorter total sleep time (within: p&lt;.001) for the previous night, as well as earlier wake onset on the corresponding day (between and within: p&lt;.001). A later end time of the last-reported activity predicted later sleep onset (within: p=.002) and shorter total sleep time (within: p=.02) on that night. A more intense daily schedule (i.e., greater total duration of reported activities) predicted an earlier wake onset time (between: p=.003, within: p&lt;.001), a later sleep onset time (within: p&lt;.001), a shortened total night-time sleep duration (between: p=.03, within: p&lt;.001), and greater sleep efficiency (within: p&lt;.001). These results indicate that college students may organize their sleep and wake times based on their daily schedule.

Home-based music therapy for children with developmental disorders during the COVID-19 pandemic

2021 ◽  
pp. 1357633X2098121
Author(s):  
Sarah Bompard ◽  
Tommaso Liuzzi ◽  
Susanna Staccioli ◽  
Fiammetta D’Arienzo ◽  
Sahereh Khosravi ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Music Therapy ◽  
Developmental Disorders ◽  
Developmental Process ◽  
Short Form ◽  
Stress Index ◽  
Parental Distress ◽  
Home Based ◽  
Clinical Conditions ◽  
Children’S Sleep

Introduction During the COVID-19 pandemic, children with neurodevelopmental disabilities could not attend their usual rehabilitation therapies, with a consequent reduced support of developmental process and risk of worsening of their clinical conditions. Methods We prospectively enrolled 14 children with developmental delay, who had already tried a personalised music therapy (Euterpe method). We included them in a 12-day programme of home-based music therapy. The children and their parents were investigated using the Sleep Disturbance Scale for Children and the Parent Stress Index-Short Form. Results Fourteen children started the intervention, while only 12 children completed all the planned home sessions and assessments. We observed a significant improvement in children’s sleep quality and a reduction of parental distress. Discussion The significant improvements in parental distress and sleep quality must be considered important achievements for the quality of life of a child and their family. Home-based music therapy can provide a feasible approach to improving sleep and parent’s stress for children with developmental disorders.

324 Naturalistic Characterization of Sleep in Chronic Insomnia Using a Non-Contact Sleep Measurement Device

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A130-A130
Author(s):  
Devon Hansen ◽  
Mary Peterson ◽  
Roy Raymann ◽  
Hans Van Dongen ◽  
Nathaniel Watson
Keyword(s):  
Sleep Onset ◽  
Contact Device ◽  
Chronic Insomnia ◽  
Poor Sleep ◽  
Measurement Device ◽  
Home Setting ◽  
Time In Bed ◽  
Sleep Measurement ◽  
Measurement Devices

Abstract Introduction Individuals with insomnia report poor sleep quality and non-restorative sleep, and often exhibit irregular sleep patterns over days and weeks. First night effects and logistical challenges make it difficult to measure these sleep characteristics in the laboratory. Also, sensitivity to sleep disruption from obtrusive measurement devices confounds sleep measurements in people with insomnia in their naturalistic setting. Non-contact sleep measurement devices have the potential to address these issues and enable ecologically valid, longitudinal characterization of sleep in individuals with insomnia. Here we use a non-contact device – the SleepScore Max (SleepScore Labs) – to assess the sleep of individuals with chronic insomnia, compared to healthy sleeper controls, in their home setting. Methods As part of a larger study, 13 individuals with chronic insomnia (ages 25-60y, 7 males) and 8 healthy sleeper controls (ages 21-46y, 6 females) participated in an at-home sleep monitoring study. Enrollment criteria included an age range of 18-65y and, for the insomnia group, ICSD-3 criteria for chronic insomnia with no other clinically relevant illness. Participants used the non-contact sleep measurement device to record their sleep periods each night for 8 weeks. Sleep measurements were analyzed for group differences in both means (characterizing sleep overall) and within-subject standard deviations (characterizing sleep variability across nights), using mixed-effects regression controlling for systematic between-subject differences. Results Based on the non-contact sleep measurements, individuals with chronic insomnia exhibited greater variability in bedtime, time in bed, total sleep time, sleep latency, total wake time across time in bed, wakefulness after sleep onset, sleep interruptions, and estimated light sleep, compared to healthy sleeper controls (all F&gt;5.7, P&lt;0.05). No significant differences were found for group averages and for variability in estimated deep and REM sleep. Conclusion In this group of individuals with chronic insomnia, a non-contact device used to characterize sleep naturalistically captured enhanced variability across nights in multiple aspects of sleep stereotypical of sleep disturbances in chronic insomnia, differentiating the sample statistically significantly from healthy sleeper controls. Support (if any) NIH grant KL2TR002317; research devices provided by SleepScore Labs.

scholarly journals 1253 Multiple sleep onset REM episodes in middle age woman with excessive daytime sleepiness – Is this automatically assumed narcolepsy?

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A477-A477
Author(s):  
Kamal Patel ◽  
Bianca J Lang
Keyword(s):  
Daytime Sleepiness ◽  
Sleep Latency ◽  
Sleep Onset ◽  
Sleep Time ◽  
Multiple Sleep Latency Test ◽  
Sleep Onset Latency ◽  
Onset Latency ◽  
Obstructive Sleep ◽  
Falling Asleep ◽  
Multiple Sleep Latency

Abstract Introduction Presence of sleep onset REM episodes often raises concerns of narcolepsy. However other conditions have shown to have presence of sleep on REM episodes which include but not limited to obstructive sleep apnea, sleep wake schedule disturbance, alcoholism, neurodegenerative disorders, depression and anxiety Report of Case Here we present a case of 30 year old female with history of asthma, patent foraman ovale, migraine headache, and anxiety who presented with daytime sleepiness, falling asleep while at work, occasional scheduled naps, non-restorative sleep, sleep paralysis, and hypnopompic hallucination. Pertinent physical exam included; mallampati score of 4/4, retrognathia, high arched hard palate, crowded posterior oropharynx. She had a score of 16 on Epworth sleepiness scale. Patient previously had multiple sleep latency test at outside facility which revealed 4/5 SOREM, with mean sleep onset latency of 11.5 minutes. She however was diagnosed with narcolepsy and tried on modafinil which she failed to tolerate. She was tried on sertraline as well which was discontinued due to lack of benefit. She had repeat multiple sleep latency test work up which revealed 2/5 SOREM, with mean sleep onset latency was 13.1 minutes. Her overnight polysomnogram prior to repeat MSLT showed SOREM with sleep onset latency of 10 minutes. Actigraphy showed consistent sleep pattern overall with sufficient sleep time but was taking hydroxyzine and herbal medication. Patient did not meet criteria for hypersomnolence disorder and sleep disordered breathing. Conclusion There is possibility her medication may have played pivotal role with her daytime symptoms. We also emphasize SOREMs can be present in other disorders such as anxiety in this case and not solely in narcolepsy

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