scholarly journals Associations between migraine attacks and nightly sleep characteristics among adults with episodic migraine: a prospective cohort study

SLEEP ◽  
2020 ◽  
Vol 43 (7) ◽  
Author(s):  
Angeliki Vgontzas ◽  
Wenyuan Li ◽  
Elizabeth Mostofsky ◽  
Michael Rueschman ◽  
Murray A Mittleman ◽  
...  

Abstract Study Objectives Given the unknown immediate impact of migraine on nighttime sleep, we prospectively examined whether migraine headaches were associated with subsequent shorter sleep duration, higher fragmentation, and poorer quality in a cohort of 98 adults with episodic migraine. Methods Participants completed twice-daily electronic diaries and wore actigraphs continuously for 6 weeks. We examined whether days with headaches were associated with changes in that night’s sleep characteristics compared with headache-free days, using adjusted multivariable linear mixed models with subject-specific intercepts. Results Participants were 35 ± 12 years old, 88% women, with an average of five migraine headaches per month. Over 4,406 days, we observed 1,077 headache days, representing 823 discrete headaches. Average nightly objective sleep duration was 7.3 ± 1.2 hr, efficiency 89.5 ± 3.3%, and wake after sleep onset (WASO) 44.8 ± 17.0 min. Objective sleep duration was 7.3 min (95% CI: 1.5, 13.0) longer on nights following a headache day compared with nights on a headache-free day. Objective sleep efficiency, WASO, and reported sleep quality were not significantly different on headache days compared with headache-free days (sleep efficiency: −0.06 min, 95% CI: −0.3, 0.2; WASO 1.5 min, 95% CI: 0.0, 3.0; sleep quality: 1.0, 95% CI: 0.8, 1.3). Conclusions Sleep periods immediately following migraine headaches are not associated with shorter duration, higher disruption, or poorer sleep quality in patients with episodic migraine. These results suggest that clinical evaluation of sleep disturbance in patients with episodic migraine should be approached independently of their migraine status.

2015 ◽  
Vol 33 (29_suppl) ◽  
pp. 107-107
Author(s):  
Brenda O'Connor ◽  
Pauline Ui Dhuibhir ◽  
Declan Walsh

107 Background: Insomnia is difficulty with sleep onset, maintenance, early morning wakening or non-restorative sleep. Cancer prevalence is 30-75%. Daytime consequences include fatigue. It is under-reported and impairs quality of life. Measurement previously required sleep laboratories. Technology advances help real-time measurement in the natural environment. This study investigated the feasibility and acceptability of a wireless device to evaluate sleep in cancer. Methods: Prospective observational study: Stage A: 10 consecutive in-patient hospice admissions; Stage B: 20 consecutive community patients Sleep quality was rated by Insomnia Severity Index (ISI). Participants used a wireless non-contact bedside monitor (SleepMinder) for 3 nights. Acceptability questionnaires were completed by participant and nurse (Stage A) or family (Stage B).Descriptive statistics were generated by Microsoft Excel. Results: 30 participants with metastatic cancer were recruited. Median age: 63 years (47-84). Median Eastern Cooperative Oncology Group (ECOG) performance score: 2 (0-3). In-patient (n=10): In 50%, sleep onset was delayed >30 minutes. Median duration: 8 hours. Median awakenings per night: 1 (0-8). Median sleep efficiency (proportion of time in bed spent asleep): 89% (74-100%). ISI score correlated with sleep duration in 70%. Participants and nurses reported 100% device acceptability. Community (n=20): Sleep onset was delayed >30 minutes in 25%. Median duration: 8 hours. Median awakenings per night: 3 (0-10). Median sleep efficiency: 91% (46-100). ISI score correlated with sleep duration in 90%. Participants and family reported 100% device acceptability. Conclusions: (1)A wireless monitor effectively measures sleep in cancer in both inpatient and community settings, (2) High acceptability supports clinical use, (3) Subjective sleep quality reports correlate with device, and (4) Further research: evaluate sleep improvement interventions with device.


SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A86-A86
Author(s):  
C W St Laurent ◽  
R Spencer

Abstract Introduction Sedentary behavior, physical activity (PA), and sleep are health behaviors that contribute significantly to overall and early childhood health. Although interactive relationships of these behaviors have been reported in adults and school-aged children, there is limited evidence that PA is associated with sleep using objective measures in younger children and findings have been mixed. The purpose of this study was to determine if objectively measured PA and sleep behavior outcomes are associated in preschoolers. Methods Participants (n=77, age: 4.34±177;0.91 years; 55.8% female) were included in this cross-sectional study. Actiwatch Spectrum monitors (wrist-worn, triaxial accelerometers) were worn 24-hours for 16-days to measure PA (total PA counts, sedentary time [ST], light PA, and moderate-to-vigorous PA [MVPA]) and sleep (24-hour, nighttime, and nap sleep duration, bedtime, wake after sleep onset [WASO], and sleep efficiency). Results Multiple linear regression models adjusted for age and wear time during wake periods indicated that greater MVPA was associated with less nighttime sleep duration (β=-3.48, p<0.001), less total 24-hour sleep duration (β=-3.38, p<0.001), and a later bedtime (β=0.07, p<0.001). Total PA counts were associated with less nighttime sleep duration (β=-0.0002, p=0.001), less total 24-hour sleep duration (β=-0.0002, p=0.001), and a later bedtime (β=4.83, p=0.001). Greater ST was associated with greater total 24-hour sleep duration (β=1.92, p=0.006) and an earlier bedtime (β=-0.36, p=0.02). Percent time spent in light PA was not associated with any sleep outcomes and no PA variables were associated with nap sleep duration, WASO, or sleep efficiency. Conclusion As these findings are in contrast to previous studies reporting null or beneficial associations, further analyses are warranted to examine potential mediators/effect modifiers (e.g., sleep timing, gender, body mass index, and socioeconomic status) and temporal relationships between these movement behaviors in young children. Support NIH R01 HL111695


Author(s):  
Spencer S.H. Roberts ◽  
Emma Falkenberg ◽  
Alysha Stevens ◽  
Brad Aisbett ◽  
Michele Lastella ◽  
...  

Purpose: Australian football has elite men’s (Australian Football League; AFL) and women’s (Australian Football League Women’s; AFLW) competitions. This study compared AFL and AFLW players’ sleep and characterized players’ sleep in the context of current sleep recommendations. Methods: A total of 70 players (36 AFL, 34 AFLW) had their sleep monitored via actigraphy over a 10-day preseason period. Sleep outcomes and their intraindividual variation, were compared between AFL and AFLW players using linear mixed models. Proportions of players sleeping ≥7 and ≥8 hours per night, and achieving ≥85% sleep efficiency, were compared using chi-square analyses. Results: Compared with AFL players, AFLW players slept less (7.9 [0.5] vs 7.1 [0.6] h, P = .000), had lower sleep efficiency (89.5% [2.8%] vs 84.0% [4.4%], P = .000), and greater intraindividual variation in sleep efficiency (3.1% [0.9%] vs 5.1% [2.1%], P = .000). A total of 47% of AFLW versus 3% of AFL players averaged <7 hours sleep (χ2 = 18.6, P = .000). A total of 88% of AFLW versus 50% of AFL players averaged <8 hours sleep (χ2 = 11.9, P = .001). A total of 53% of AFLW versus 14% of AFL players averaged <85% sleep efficiency (χ2 = 12.1, P = .001). Conclusions: AFLW players slept less and had poorer sleep quality than AFL players. Many AFLW players do not meet current sleep duration or sleep quality recommendations. Research should test strategies to improve sleep among Australian rules footballers, particularly among elite women.


Author(s):  
Martin Theiler ◽  
Nicole Knöpfel ◽  
Susanne von der Heydt ◽  
Agnes Schwieger-Briel ◽  
Isabelle Luchsinger ◽  
...  

AbstractSleep problems are frequently reported in infants treated with propranolol for infantile hemangiomas, possibly serving as a marker for a negative impact on central nervous system function. In this cohort study, we objectively investigate the sleep behavior of infants with infantile hemangiomas on propranolol compared to a healthy, untreated control group. Sleep of propranolol-treated infants and controls was investigated using ankle actigraphy and a 24-h diary for 7–10 days at ages 3 and 6 months. The main outcome measures were the Number of Nighttime Awakenings and Sleep Efficiency. The main secondary outcome measures included 24-hour Total Sleep, daytime sleep behavior, and parent-rated infant sleep quality and behavioral development based on the Brief Infant Sleep Questionnaire (BISQ) and the age-appropriate Ages-and-Stages Questionnaire (ASQ), respectively. Fifty-four term-born infants were included in each cohort. No group difference in any investigated parameter was seen at age 3 months. At age 6 months, the propranolol group exhibited a decrease in Sleep Efficiency and a trend towards an increased Number of Nighttime Awakenings compared to the control group. Treated infants at 6 months also had shorter daytime waking periods. 24-hour Total Sleep was unaffected by propranolol. No negative impact of propranolol on subjective sleep quality and behavioral development was noted.Conclusion: Propranolol exerts a measurable yet mild impact on objectively assessed infants’ sleep measures. Behavioral developmental scores were unaffected. Our results support propranolol as first-line therapy for complicated infantile hemangiomas. What is Known:• Sleep disorders are frequently reported in infants with infantile hemangiomas treated with propranolol and often lead to treatment discontinuation.• Investigations of the sleep pattern in this patient group using objective measures are lacking. What is New:• The sleep pattern of propranolol-treated infants is assessed using actigraphy and a 24-h sleep diary and compared to healthy, untreated controls.• Propranolol leads to a decreased sleep efficiency at night and an increased demand of daytime sleep, yet effects are mild overall.


2017 ◽  
Vol 40 ◽  
pp. 78-83 ◽  
Author(s):  
Dongming Wang ◽  
Yun Zhou ◽  
Yanjun Guo ◽  
Runbo Zhang ◽  
Wenzhen Li ◽  
...  

SLEEP ◽  
2021 ◽  
Author(s):  
Xiaoyu Li ◽  
Sebastien Haneuse ◽  
Michael Rueschman ◽  
Emily R Kaplan ◽  
Xinting Yu ◽  
...  

Abstract Study Objectives Suboptimal sleep is associated with obesity and its sequelae in children and adults. However, few studies have examined the association between sleep and physical growth in infants who experience rapid changes in sleep/wake patterns. We examined the longitudinal association of changes in objectively assessed sleep/wake patterns with changes in growth between ages 1 and 6 months. Methods We studied 298 full-term infants in the longitudinal Rise & SHINE cohort study. Changes from 1 and 6 months in nighttime sleep duration, wake after sleep onset (WASO), and number of waking bouts ≥5 min were assessed using ankle actigraphy. Overweight was defined as age- and sex-specific weight for length ≥95th percentile. Generalized estimating equation analyses adjusted for infants′ and mothers′ characteristics. Results The mean (SD) birth weight was 3.4 (0.4) kg; 48.7% were boys. In multivariable adjusted models, each 1-h increase in nighttime sleep duration between months 1 and 6 was associated with a 26% decrease in the odds of overweight from 1 to 6 months (odds ratio [OR] = 0.74; 95% confidence interval [CI, 0.56, 0.98]). Each 1-unit decrease in number of waking bouts was associated with a 16% decrease in the odds of overweight (OR = 0.84; 95% CI [0.72, 0.98]). Changes in WASO were not associated with the odds of overweight. Conclusions Greater increases in nighttime sleep duration and more consolidation of nighttime sleep were associated with lower odds of overweight from 1 to 6 months. Adverse sleep patterns as early as infancy may contribute to excess adiposity.


SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A58-A59
Author(s):  
Rebecca Burdayron ◽  
Marie-Helene Pennestri ◽  
Elizabeth Keys ◽  
Lianne Tomfohr-Madsen ◽  
Gerald Giesbrecht

Abstract Introduction Poor sleep quality is common during pregnancy and can increase the risk of adverse obstetric and fetal outcomes. Existing research on the association between prenatal sleep and infant sleep is scarce and has focused on other aspects of prenatal sleep such as sleep duration, chronotype, and insomnia symptoms. To our knowledge, no studies have examined the association between prenatal sleep quality and infant sleep outcomes. Thus, this study aimed to investigate whether maternal sleep quality during pregnancy was prospectively associated with infant sleep dimensions, independent of relevant covariates. Methods Participants were a subset of 272 mother-infant dyads enrolled in an ongoing cohort study. Maternal prenatal sleep quality was assessed with the Pittsburgh Sleep Quality Index (PSQI) in early to mid- (M gestational age = 15.12 ± 3.56 weeks) and late- (M gestational age = 32.44 ± 0.99 weeks) pregnancy. Mothers completed the Brief Infant Sleep Questionnaire (BISQ) at 3, 6, and 12 months postpartum. The following infant sleep parameters were assessed: sleep duration (day, night, 24-hour), number of night awakenings, and wake after sleep onset. Prenatal depressive symptoms were assessed with the Edinburgh Postnatal Depression Scale (EPDS) at both pregnancy time points. Other covariates included maternal age at enrollment, infant age, parity, and co-sleeping status. Results Generalized estimating equations (GEE) models revealed that poorer maternal sleep quality during early-to-mid pregnancy did not significantly predict infant sleep parameters after adjustment for covariates (p &gt; .05). However, in late pregnancy, poorer maternal sleep quality significantly predicted shorter 24-hour sleep duration and longer wake after sleep onset, but not daytime sleep duration, nighttime sleep duration, and number of night awakenings (p &lt; .05). Conclusion Study findings advance our understanding of the prospective link between maternal prenatal sleep quality and infant sleep. Results indicate that maternal sleep quality during late gestation may play a role in the development of infant sleep patterns. These findings have important implications for intervention efforts targeting maternal sleep quality during pregnancy. Future research should use objective measures of sleep, such as actigraphy, to better elucidate the effects of prenatal sleep quality on infant sleep outcomes. Support (if any) The Canadian Institutes of Health Research (CIHR)


2019 ◽  
Vol 35 (4) ◽  
pp. 713-724
Author(s):  
Theresa Casey ◽  
Hui Sun ◽  
Helen J. Burgess ◽  
Jennifer Crodian ◽  
Shelley Dowden ◽  
...  

Background: Metabolic and hormonal disturbances are associated with sleep disturbances and delayed onset of lactogenesis II. Research aims: The aim of this study was to measure sleep using wrist actigraphy during gestation weeks 22 and 32 to determine if sleep characteristics were associated with blood glucose, body mass index, gestational related disease, delayed onset of lactogenesis II, or work schedule. Methods: Demographic data were collected at study intake from primiparous women who wore a wrist actigraph during gestation weeks 22 ( n = 50) and 32 ( n = 44). Start and end sleep time, total nighttime sleep, sleep efficiency, wake after sleep onset, and sleep fragmentation were measured. Night to night variability was assessed with the root mean square of successive difference. Blood glucose levels, body mass index, and gestational disease data were abstracted from medical charts. Timing of lactogenesis II was determined by survey. Results: Between gestation week 22 and 32, sleep efficiency decreased and fragmentation increased ( p < .05). During gestation week 32, blood glucose was negatively correlated with sleep duration, and positively related to fragmentation ( p < .05). Women who experienced delayed lactogenesis II had lower sleep efficiency and greater fragmentation ( p < .05), and greater night-to-night variability in sleep start and end time, efficiency, and duration during gestation week 32 ( p < .05). Conclusion: Women with better sleep efficiency and more stable nightly sleep time are less likely to experience delayed onset of lactogenesis II. Interventions to improve sleep may improve maternal health and breastfeeding adequacy.


SLEEP ◽  
2022 ◽  
Author(s):  
Yanan Wang ◽  
Marcel van de Wouw ◽  
Lauren Drogos ◽  
Elnaz Vaghef-Mehrabani ◽  
Raylene A Reimer ◽  
...  

Abstract Sleep plays a significant role in the mental and physical development of children. Emerging evidence in animals and human adults indicates a relationship between sleep and the gut microbiota; however, it is unclear whether the sleep of preschoolers during a key developmental period, associates with features of their gut microbiota. The objective of this study was to assess the relationship between sleep and gut microbiota in preschool aged children (4.37 ±0.48 years, n=143). Sleep measures included total nighttime sleep (TST), sleep efficiency (SE), and wake-time after sleep onset (WASO) assessed using actigraphy. Beta-diversity differences between children with low and high TST (p =0.048) suggest gut microbiota community differences. Particularly, relative abundance of Bifidobacterium was higher in the high TST group and Bacteroides, was higher in children who had higher SE and low WASO (LDA score &gt;2). In contrast, some Lachnospiraceae members including Blautia and Coprococcus 1 were associated with shorter nighttime sleep duration and less efficiency, respectively. We also found a group of faecal metabolites, including specific neuroactive compounds and immunomodulating metabolites were associated with greater sleep efficiency and less time awake at night. Notably, tryptophan and its metabolizing products were higher in children who had higher SE or lower WASO (LDA score &gt;2); concentration of propionate was higher in children with lower WASO (p =0.036). Overall, our results reveal a novel association between sleep and gut microbiota in preschool aged children. Longer nighttime sleep and greater sleep efficiency were associated with specific commensal bacteria that may regulate sleep through modulating neurotransmitter metabolism and the immune system.


2020 ◽  
Vol 73 ◽  
pp. 238-245
Author(s):  
Elizabeth L. Adams ◽  
Jennifer S. Savage ◽  
Lindsay Master ◽  
Orfeu M. Buxton

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