0965 The Association Between Liquid Consumption and Sleep Patterns in School Children

Abstract Introduction Liquid consumption is essential for daily function and may also play a role in sleep regulation. The aim of this study was to assess 1) the association between the frequency of liquid consumption and sleep patterns; and 2) the different types of liquids on the association between liquid consumption and sleep. Methods Participants included 597 children ages 9-13 years old from the China Jintan Child Cohort Study. To assess child liquid intake, children self-reported the types of liquids consumed and the frequency these liquids were consumed. To assess sleep patterns, both parents and children reported sleep patterns using the parent-reported Child Sleep Habit Questionnaire (CSHQ) and a child self-reported questionnaire. Descriptive statistics and independent sample t-tests analyses were performed to examine the differential effects of liquid consumption frequency and sleeping habits. Results Overall, a slight dose-dependent relationship between liquid consumption and sleep quality was observed. Less sleep problems and improved sleep quality were observed for water (bedtime resistance, sleep anxiety, night awakenings, parasomnias, sleep-disordered breathing, daytime sleepiness; p<0.05) and milk (parasomnias, sleep-disordered breathing, p<0.05) consumption. Caffeinated soda tended to increase sleep problems (sleep-disordered breathing, p<0.05). Sleep onset delay had a different pattern from that of other subscales, in which water increased sleep problems and caffeinated soda decreased sleep problems. There was some discrepancy between parent- and self-reported parasomnias, but sleep disordered breathing showed consistent patterns. Conclusion Children who consumed more liquid, especially water and milk, were more likely to experience less sleep problems. However, caffeinated soda consumption may be linked to increased sleep problems. Findings suggest that school children may need consume more healthy liquids for better sleep patterns. Future randomized-controlled trial studies are needed to verify these findings. Support This study was funded by the National Institutes of Environmental Health Sciences and the National Institutes of Health (R01-ES-018858, K02-ES-019878, and K01-ES015877).

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The impact of chronic rhinosinusitis on sleep-disordered breathing

Rhinology Journal ◽

10.4193/rhino15.204 ◽

2016 ◽

Vol 54 (1) ◽

pp. 75-79

Author(s):

Rong-San Jiang ◽

Kai-Li Liang ◽

Chung-Han Hsin ◽

Mao-Chang Sun

Keyword(s):

Sleep Quality ◽

Chronic Rhinosinusitis ◽

Nasal Obstruction ◽

Sleep Disordered Breathing ◽

Sleep Problems ◽

Sleep Apnea Syndrome ◽

Sinus Surgery ◽

Obstructive Sleep ◽

The Impact ◽

Disordered Breathing

Background: The nose plays an important role in sleep quality. Very little is known about sleep problems in patients with chronic rhinosinusitis (CRS). The aim of this study was to investigate the impact of CRS on sleep-disordered breathing. Methodology: CRS patients who underwent functional endoscopic sinus surgery were collected between July 2010 and May 2015. Before surgery, they filled 20-item Sino-Nasal Outcome Test and Epworth Sleepiness Scale questionnaires, were asked about the severity of nasal obstruction, and received acoustic rhinometry, smell test, an endoscopic examination, sinus computed tomography, and a one-night polysomnography. Sleep quality was evaluated in these patients and was correlated with the severity of rhinosinusitis. Results: One hundred and thirty-nine CRS patients were enrolled in the study. Among them, 38.1% complained of daytime sleepiness, and this sleep problem was correlated with the symptom of nasal obstruction. Obstructive sleep apnea syndrome (OSAS) was diagnosed in 64.7% of the patients, but there was no correlation with the severity of rhinosinusitis. Nasal polyps did not worsen sleep problems in the CRS patients. Conclusions: This study showed that CRS patents had a high prevalence of OSAS, and worse OSAS in CRS patients was not correlated with the severity of rhinosinusitis.

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472 Sleep Quality in Pregnancy: An Analysis of Cardiopulmonary Coupling in the nuMoM2b Cohort

SLEEP ◽

10.1093/sleep/zsab072.471 ◽

2021 ◽

Vol 44 (Supplement_2) ◽

pp. A186-A186

Author(s):

Francis Christian ◽

Hugi Hilmisson ◽

Solveig magnusdottir ◽

Robert Thomas

Keyword(s):

Sleep Quality ◽

Sleep Duration ◽

Sleep Disordered Breathing ◽

Sleep Latency ◽

Sleep Onset ◽

Apnea Hypopnea Index ◽

Cardiopulmonary Coupling ◽

Stability And Instability ◽

The Impact ◽

Disordered Breathing

Abstract Introduction The impact of pregnancy on sleep quality and sleep-breathing is of interest due to concerns of an impact on maternal, intra-uterine and neonatal health. The Sleep Disordered Breathing (SDB) sub-study of the Nulliparous Pregnancy Outcomes Study (NuMoM2b) provided a large cohort of single gestational women who underwent home sleep apnea testing (HSAT) to evaluate for SDB. To evaluate changes in sleep during pregnancy, we utilized publicly available data from http://www.sleepdata.org for cardiopulmonary coupling (CPC) analysis to evaluate SDB, as well as sleep duration and quality. No outcomes data is currently available. Methods Standardized Level 3 HSAT was performed after visit 1 (V1), (6–15 weeks’ gestation) and visit 3 (V3), (22 -31 weeks’ gestation) on 3702 women from the NuMoM2b cohort. CPC-analysis was performed using clinically validated algorithms based on CPC-method using ECG and oxygen saturation data (SpO2) as the input signals. SleepImage Apnea Hypopnea Index (sAHI) was calculated to evaluate for SDB (FDA; 182618). Additional calculations to determine sleep latency, sleep duration, wake after sleep onset, and sleep quality (SQI) were performed. The SQI-metric incorporates measures of sleep stability and instability and is then presented on a scale of 0 – 100 where a higher number is desirable. Results 3,261 & 2,511 participants had data at visits 1 & 3, respectively. A total of 3,012 and 2,332 individuals had ECG data of sufficient quality. The mean age of the analyzed cohort was 27 years old. SDB events were overall low, but significantly increased across visits, sAHI [(1.6 ± 2.5)/hour (V1) vs (2.9 ± 4.1) (V3)], p< 0.001. There was a statistically significant increase in sleep latency [7.4 ± 12.7 (V1) vs 18.7 ± 27.8 (V3)], p< 0.001 and reduction in total sleep time [401.2 ± 85.6 (V1) vs 348.5 ± 79.3 (V3)], p< 0.001. Most notably, there was a >10% reduction in the SQI, indicative of increased unstable, fragmented sleep as pregnancy progressed [72.1 ± 13.8 (V1), 60.5 ± 16.2 (V3)], p < 0.001. Conclusion Using objective measures based on CPC analysis from HSAT derived signals, sleep disordered breathing, sleep duration and sleep quality are all adversely impacted as gestation progresses. Support (if any):

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1142 Comprehensive Phenotyping Of Ambulatory Sleep Patterns In Multiple Sclerosis

SLEEP ◽

10.1093/sleep/zsaa056.1136 ◽

2020 ◽

Vol 43 (Supplement_1) ◽

pp. A435-A435

Author(s):

T J Braley ◽

A L Kratz ◽

D Whibley ◽

C Goldstein

Keyword(s):

Multiple Sclerosis ◽

Sleep Quality ◽

Extreme Values ◽

Sleep Onset ◽

External Support ◽

Poor Sleep ◽

Sleep Patterns ◽

Poor Sleep Quality ◽

Historical Cohort ◽

The Impact

Abstract Introduction The majority of sleep research in persons with multiple sclerosis (PwMS) has been siloed, restricted to evaluation of one or a few sleep measures in isolation. To fully characterize the impact of sleep disturbances in MS, multifaceted phenotyping of sleep is required. The objective of this study was to more comprehensively quantify sleep in PwMS, using a recently developed multi-domain framework of duration, continuity, regularity, sleepiness/alertness, and quality. Methods Data were derived from a parent study that examined associations between actigraphy and polysomnography-based measures of sleep and cognitive function in MS. Actigraphy was recorded in n=55 PwMS for 7-12 days (Actiwatch2®, Philips Respironics). Sleep metrics included: duration=mean total sleep time (TST, minutes); continuity=mean wake time after sleep onset (minutes), and regularity=stddev wake-up time (hours). ‘Extreme’ values for continuity/regularity were defined as the most extreme third of the distributions. ‘Extreme’ TST values were defined as the lowest or highest sixth of the distributions. Sleepiness (Epworth Sleepiness Scale score) and sleep quality [Pittsburgh Sleep Quality Index (PSQI) sleep quality item] were dichotomized by accepted cutoffs (>10 and >1, respectively). Results Sleep was recorded for a mean of 8.2 days (stddev=0.95). Median (1st, 3rd quartile) values were as follows: duration 459.79 (430.75, 490.60), continuity 37.00 (23.44, 52.57), regularity 1.02 (0.75, 1.32), sleepiness/alertness 8 (4, 12), and sleep quality 1.00 (1.00, 2.00). Extreme values based on data distributions were: short sleep <=426.25 minutes (18%), long sleep >515.5 minutes (16%), poor sleep continuity ≥45 minutes (33%), and poor sleep regularity ≥1.17 hours (33%). Sleepiness and poor sleep quality were present in 36% and 40% respectively. For comparison, in a historical cohort of non-MS patients, the extreme third of sleep regularity was a stddev of 0.75 hours, 13% had ESS of >10, and 16% had poor sleep quality. Conclusion In this study of ambulatory sleep patterns in PwMS, we found greater irregularity of sleep-wake timing, and higher prevalence of sleepiness and poor sleep quality than published normative data. Efforts should be made to include these measures in the assessment of sleep-related contributions to MS outcomes. Support The authors received no external support for this work.

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Abstract 3725: Simvastatin but Not Pravastatin Affects Sleep: Findings from the UCSD Statin Study

Circulation ◽

10.1161/circ.116.suppl_16.ii_847 ◽

2007 ◽

Vol 116 (suppl_16) ◽

Author(s):

Beatrice A Golomb ◽

Edwin K Kwon ◽

Michael H Criqui ◽

Joel E Dimsdale

Keyword(s):

Sleep Quality ◽

Rating Scale ◽

Sleep Problems ◽

Small Sample Size ◽

Case Reports ◽

Controlled Trial ◽

Small Sample ◽

T Test ◽

Secondary Outcome ◽

Regression Analyses

Background : Case reports have suggested possible effects of lipophilic statins on sleep in some subjects. Most randomized studies evaluating the effect of statins on sleep have had small sample size and short duration (≤ 6 weeks). Whether statins affect sleep on average, favorably or adversely, has been unclear. Goal : To assess the effects of lipophilic and hydrophilic statins on sleep. Subjects : 1016 adult men and women without diabetes or heart disease, with LDL-cholesterol 115–190mg/dL. Design : Randomized double blind placebo-controlled trial of simvastatin 20mg, pravastatin 40mg or placebo for 6 months. Sleep was a prespecified secondary outcome. It was assessed by both an adaptation of the Leeds sleep scale (a visual analog scale of sleep quality); and a rating scale of sleep problems. Both items were measured at baseline and on-treatment. Analysis : Baseline comparability of randomization groups including sleep measures was affirmed. T-test of mean on-treatment sleep scores across randomization groups was performed. This complemented regression analyses, adjusted for baseline values of the respective sleep assessment. Results : Groups were comparable at baseline on variables including both sleep measures. Simvastatin use was associated with significantly worse sleep quality, and significantly greater reported sleep problems than either pravastatin or placebo, by t-test and regression analyses. Pravastatin did not differ significantly from placebo on any sleep outcome. Conclusion : Findings were compatible with the hypothesis that statins may impair sleep in some subjects, and that this impairment may arise selectively with lipophilic statins. Table 1. Effects of Statins on Sleep: Regression Analysis

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Moderate Exercise Plus Sleep Education Improves Self-Reported Sleep Quality, Daytime Mood, and Vitality in Adults with Chronic Sleep Complaints: A Waiting List-Controlled Trial

Sleep Disorders ◽

10.1155/2011/809312 ◽

2011 ◽

Vol 2011 ◽

pp. 1-10 ◽

Cited By ~ 13

Author(s):

Carmen Gebhart ◽

Daniel Erlacher ◽

Michael Schredl

Keyword(s):

Physical Exercise ◽

Sleep Quality ◽

Controlled Trial ◽

Sleep Onset ◽

Intervention Group ◽

Waiting List ◽

Control Group ◽

Sleep Education ◽

Sleep Complaints ◽

Chronic Sleep

Research indicates that physical exercise can contribute to better sleep quality. This study investigates the six-week influence of a combined intervention on self-rated sleep quality, daytime mood, and quality of life. A nonclinical sample of 114 adults with chronic initiating and the maintaining of sleep complaints participated in the study. The intervention group of 70 adults underwent moderate physical exercise, conducted weekly, plus sleep education sessions. Improvements among participants assigned to the intervention group relative to the waiting-list control group (n=44) were noted for subjective sleep quality, daytime mood, depressive symptoms and vitality. Derived from PSQI subscores, the intervention group reported increased sleep duration, shortened sleep latency, fewer awakenings after sleep onset, and overall better sleep efficiency compared to controls. The attained scores were well sustained and enhanced over a time that lasted through to the follow-up 18 weeks later. These findings have implications in treatment programs concerning healthy lifestyle approaches for adults with chronic sleep complaints.

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0773 Sleep Disordered Breathing Based on Symptoms And RDI in Primary School Children with Implication for Prevalence

SLEEP ◽

10.1093/sleep/zsy061.772 ◽

2018 ◽

Vol 41 (suppl_1) ◽

pp. A287-A288

Author(s):

H Wada ◽

M Kimura ◽

T Tajima ◽

R Shirahama ◽

T Hayashi ◽

...

Keyword(s):

Primary School ◽

School Children ◽

Sleep Disordered Breathing ◽

Primary School Children ◽

Disordered Breathing

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0892 Sleep Abnormalities in Cornelia De Lange Syndrome

SLEEP ◽

10.1093/sleep/zsaa056.888 ◽

2020 ◽

Vol 43 (Supplement_1) ◽

pp. A339-A340

Author(s):

R Villalobos ◽

A P Villalobos ◽

R Villalobos ◽

I A Villarreal ◽

D Grimaldo ◽

...

Keyword(s):

Sleep Disordered Breathing ◽

Sleep Onset ◽

Clinical Information ◽

Sleep Apnea Syndromes ◽

Autosomal Dominant Disorder ◽

Arousal Index ◽

Increased Risk ◽

Cornelia De Lange ◽

Severe Degree ◽

Disordered Breathing

Abstract Introduction Cornelia de lange is an autosomal dominant disorder (when associated with NIPBL, RAD21, or SMC3 genes) with an incidence of 1:10,000 to 1:50,000 live births, patients affected are known to have a wide variety of sleep disorders, those range from insomnia and abnormal circadian cycle to sleep disordered breathing and hypoventilation. The exact etiology of increased risk of sleep-disordered breathing in patients affected is not fully understood. It is possible that some facial features in these patients expose them to a higher risk (micrognathia, high arched palate, and short neck). We wanted to analyze the sleep related problems in CDLS. Methods We included 3 patients with the disorder, age range from 15 months to 16 years old. All patients met criteria for CDLS diagnosis, all had intellectual disability and behavioral associated symptoms. The somnology evaluation included questionnaires of diurnal behavior and sleep focused logs. We performed nocturnal polysomnography in only 2 patients due to inability to tolerate the test in one case. Results Sleep clinical information was abnormal in all the cases. Overnight behavioral video evaluation was done. The behavioral abnormalities were evident in all subjects and severe in one. Overnight polysomnography demonstrated a moderate to severe degree of OSA, delayed sleep onset suggestive of insomnia, sleep-wake transition disorder with elevated WASO time, and arousal disorder with elevated spontaneous arousal index. It is of interest the finding of sleep related hypoxemia with limited evidence of obstructive component in one patient. Conclusion The abnormalities in sleep are frequent in CDLS, there are wide and present in the sleep architecture and the sleep ventilation, sleep apnea syndromes are frequent but are not the only major sleep-related abnormalities. When CDLS is caused by mutations in the HDAC8 or SMC1A gene, the condition has an X-linked dominant pattern inheritance. Most cases result from new mutations in the HDAC8 or SMC1A gene and occur in people with no history of the condition in their family, likely our cases are related to this mode of transmission and potential different patters of sleep disruption are dependent on different genes involved. Support None

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