scholarly journals The Association between Sleep and Injury among School-Aged Children in Iran

2013 ◽  
Vol 2013 ◽  
pp. 1-5 ◽  
Author(s):  
Forugh Rafii ◽  
Fatemeh Oskouie ◽  
Mahnaz Shoghi
Keyword(s):  
Sleep Duration ◽  
Sleep Problems ◽  
Multivariate Logistic Regression Analysis ◽  
Sleep Patterns ◽  
Sleep Habits ◽  
Accidental Injury ◽  
School Aged Children ◽  
Injury Occurrence ◽  
Injury Group ◽  
Significant Difference

Background. A good night’s sleep plays a key role in diseases resistance, injury prevention, and mood stability. The objective of this study was to examine relationship between sleep problems and accidental injury occurrences in school-aged children.Method. A retrospective study was conducted for comparing two groups of children. Children who have experienced injuries for at least two times during an academic year are the participants in the injury group (IG) and those who have not experienced any kind of injuries are placed in the noninjury group (NIG). Data was collected through parent-reported sleep patterns and problems using Children’s Sleep Habits Questionnaire (CSHQ).Findings. The findings showed that global sleep problems were more in the IG than in the NIG. Multivariate logistic regression analysis showed that the daytime sleepiness and sleep duration are the two major reasons for accidental injury. In addition, significant difference was seen between the sleep patterns of the two groups. Sleep duration was also shorter in the IG, and this group had a greater percentage (63% versus 41.1%) of “short sleepers” (<9 h).Conclusion. There is a significant relationship between injury occurrence and sleep problems and sleep duration in Iranian school-aged children.

scholarly journals The effects of seasons and weather on sleep patterns measured through longitudinal multimodal sensing

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Stephen M. Mattingly ◽  
Ted Grover ◽  
Gonzalo J. Martinez ◽  
Talayeh Aledavood ◽  
Pablo Robles-Granda ◽  
...  
Keyword(s):  
Sleep Duration ◽  
Seasonal Effects ◽  
Sleep Patterns ◽  
Sleep Habits ◽  
Sleep Behavior ◽  
Weather Effects ◽  
Wake Time ◽  
Multimodal Sensing ◽  
Four Seasons ◽  
Local Weather

AbstractPrevious studies of seasonal effects on sleep have yielded unclear results, likely due to methodological differences and limitations in data size and/or quality. We measured the sleep habits of 216 individuals across the U.S. over four seasons for slightly over a year using objective, continuous, and unobtrusive measures of sleep and local weather. In addition, we controlled for demographics and trait-like constructs previously identified to correlate with sleep behavior. We investigated seasonal and weather effects of sleep duration, bedtime, and wake time. We found several small but statistically significant effects of seasonal and weather effects on sleep patterns. We observe the strongest seasonal effects for wake time and sleep duration, especially during the spring season: wake times are earlier, and sleep duration decreases (compared to the reference season winter). Sleep duration also modestly decreases when day lengths get longer (between the winter and summer solstice). Bedtimes and wake times tend to be slightly later as outdoor temperature increases.

scholarly journals Impact of Remote Teaching on Japanese Medical University Students' Sleeping Habits : a Longitudinal Study

2021 ◽  
Author(s):  
Reiko Hori ◽  
Eiji Shibata ◽  
Iwao Okajima ◽  
Masahiro Matsunaga ◽  
Tomohiro Umemura ◽  
...  
Keyword(s):  
University Students ◽  
Sleep Duration ◽  
Sleep Problems ◽  
Significant Difference ◽  
Delayed Sleep Phase ◽  
The Mean ◽  
Delayed Sleep ◽  
Sleeping Habits ◽  
Medical University ◽  
The Impact

Abstract Background: The coronavirus disease 2019 (COVID-19) pandemic has changed our daily life. Owing to the imposed restrictions, many educational facilities have introduced remote teaching. This study aims to understand the impact of remote teaching on Japanese university students' sleeping habits.Methods: The participants were medical university students. We used data from an ongoing longitudinal sleeping habits survey. For 684 participants who enrolled in the university during 2018–2020, multilevel analyses of sleep duration during weekdays and weekends across 3 years were conducted, adjusting for gender, grade, place of stay, sleep problems and lifestyle habits. Results: Among the participants, 356 male (mean ± standard deviation: 22 ± 3, 18–37 years old) and 288 female (22 ± 3, 18–32 years old) students in 2018, 365 male (24 ± 3,18–36 years old) and 284 female (22 ± 2, 18–33 years old) students in 2019, and 226 male (20 ± 3,18-36 years old) and 167 female (21 ± 2, 18–34 years old) students in 2020 answered the questionnaire. The mean sleep duration during weekdays (in minutes) was 407.6 ± 60.3 in 2018, 406.9 ± 63.0 in 2019, and 417.3 ± 80.9 in 2020. The mean sleep duration during weekends (in minutes) was 494.5 ± 82.5 in 2018, 488.3 ± 87.9 in 2019, and 462.3 ± 96.4 in 2020. The analysis showed that sleep duration during weekdays was associated with the place of stay and survey year. Moreover, students reported significantly longer sleep duration during weekdays in 2020 than 2019, but no significant difference in sleep duration between 2018 and 2019. Sleep duration during weekends was found to be associated with the survey year, gender and always doing something before going to bed. Sleep duration during weekends was shorter in 2020 than 2019 and longer in male students and students who always do something before going to bed. Ten students were reported to have a delayed sleep phase in 2020. Conclusions: Students' sleep duration increased during weekdays and decreased during weekends in 2020. This difference could be explained by the COVID-19 pandemic and the introduction of remote teaching.

scholarly journals Impact of methylphenıdate and atomoxetıne on sleep ın chıldren wıth ADHD

2020 ◽  
Vol 6 (5) ◽  
pp. 216-218
Author(s):  
Elif Gokce ERSOY SIMSEK ◽  
◽  
Saniye Tulin FIDAN ◽  
Keyword(s):  
Sleep Disorders ◽  
Sleep Problem ◽  
Sleep Problems ◽  
Inpatient Service ◽  
Sleep Habits ◽  
Time Duration ◽  
Children With Adhd ◽  
Falling Asleep ◽  
Child Psychiatric ◽  
Significant Difference

Aim: Our purpose in this study is to determine the effects of methylphenidate and atomoxetine on the sleep of children with attention-deficit/hyperactivity disorder (ADHD). Methods: Eighty-one children admitted to a child psychiatric inpatient service with ADHD participated in a double-blind, crossover study in which 42 subjects received extended release methylphenidate, and 39 subjects received atomoxetine only one dose in the morning daily at least for 6 months. Kiddie Schedule for Affective Disorders and Schizophrenia for School-Age Children-Present and Lifetime Version (KSADS-PL) and Child Sleep Habits Survey (CSHS) were applied to all children. Results: There was a sleep problem in 81% (n = 34) of the patients using methylphenidate and 89.7% (n=35) of the group using atomoxetine. When we evaluated according to the CSHS cut-off score, whether having a sleep problem or sleep problems, and there was no statistically significant difference between the two groups (p> 0.05). We are not able to find significant difference between two groups in terms of bedtime resistance, sleep duration, sleep anxiety, night awakenings, parasomnia, sleep-breathing problems, and daytime sleepiness subtest and total sleep scores (p> 0.05). There was a significant difference in sub-test of the falling asleep duration. It was found that the methylphenidate group had a longer falling asleep time duration(p <0.05). Discussion: Sleep-related complaints in children diagnosed with ADHD are not uncommon in clinical practice. It is known that 25-55% of children with ADHD often report various sleep problems and in addition, more sleep problems are reported by their parents. In our study, when the total scores of CSHS filled by the family were evaluated, this rate was found to be 85%. There was no difference in the frequency of sleep problems between the group using methylphenidate and the group using atomoxetine. In our study, there was significant difference between the group using methylphenidate and the group using atomoxetine in terms of delay in falling asleep. In many studies based on both objective and subjective measurements, psychostimulant drugs have been reported to be associated with difficulty falling asleep and prolonged sleep latency. Sleep disorders are common in ADHD. It is important that child and adolescents with ADHD must be evaluated the sleep habits before medical treatment to identify the etiology of sleep disorders.

Headaches and sleep problems in US adolescents: Findings from the National Comorbidity Survey – Adolescent Supplement (NCS-A)

Cephalalgia ◽  
2019 ◽  
Vol 39 (10) ◽  
pp. 1226-1235 ◽  
Author(s):  
Tarannum Lateef ◽  
Kailyn Witonsky ◽  
Jianping He ◽  
Kathleen Ries Merikangas
Keyword(s):  
Mood Disorders ◽  
Sleep Disturbances ◽  
Sleep Problems ◽  
The United States ◽  
Sleep Patterns ◽  
Cross Sectional ◽  
Comorbid Anxiety ◽  
National Comorbidity Survey ◽  
Significant Difference ◽  
Insomnia Symptoms

Background There is limited research on the association of sleep problems with International Classification of Headache Disorders (ICHD-II)-defined headache subtypes in youth, particularly from community-based samples. This cross-sectional study examines the associations of sleep patterns, symptoms and disorders with specific headache subtypes among adolescents from the general population of the United States. Methods The sample includes 10,123 adolescents in the National Comorbidity Survey – Adolescent Supplement, a face-to-face survey of adolescents aged 13–18 years in the continental USA. Headache subtype diagnoses were based on modified ICHD-III criteria, and mood and anxiety disorders were based on Diagnostic and Statistical Manual of Mental Disorders criteria. The associations of self-reported sleep patterns and insomnia symptoms and headache status were estimated with multivariate regression models that adjust for demographic characteristics and comorbid anxiety and mood disorders. Results There was no significant difference in bedtime between youth with and without headache. However, adolescents with migraine headache reported significantly shorter sleep duration ( p = .022) and earlier wakeup time ( p = .002) than those without headache. Youth with any headache, particularly migraine, had significantly more sleep disturbances than those without headache. With respect to headache subtypes, youth with migraine with aura were more likely to report difficulty maintaining sleep, early morning awakening, daytime fatigue, and persistent insomnia symptoms than those with migraine without aura. However, these associations were largely accounted for by comorbid anxiety and mood disorders. There was a monotonic increase in the number of insomnia symptoms with increasingly restrictive definitions of migraine. Conclusion Pervasive sleep disturbances in adolescents with headache have important implications for the evaluation, treatment and etiology of pediatric headache.

626 Association between Co-Sleep and Behavioral Problems among Preschoolers in Taiwan

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A245-A246
Author(s):  
Yu-Ting Wu ◽  
Ya-Chuan Huang ◽  
Yung-Sen Chang ◽  
Chien-Ming Yang
Keyword(s):  
Sleep Duration ◽  
Behavioral Problems ◽  
Sleep Problems ◽  
Sleep Onset ◽  
Emotional And Behavioral Problems ◽  
Sleep Habits ◽  
Developmental Problems ◽  
Bed Sharing ◽  
Nighttime Sleep ◽  
Children’S Sleep

Abstract Introduction ‘Co-sleep’ is defined as the sleep arrangements in which parents and their child sharing a sleeping surface (bed-sharing or room-sharing). Similar to the other Asian countries, Taiwan has a high reported rates of bed-sharing. Previous researches had shown shorter sleep duration and poorer sleep quality in children with co-sleep. However, the association between co-sleep and the children’s emotional and behavioral problems has not been well studied. This study aims to explore the association between sleeping arrangements and children’s sleep, as well as their daytime emotional and behavioral problems. Methods 9,582 caregivers of preschoolers (age= 4.70±0.806; Male: Female=52%:48%) completed a questionnaire regarding their children’s sleep schedule, the Children’s Sleep Habits Questionnaire (CSHQ) and Strength and Difficulties Questions (SDQ). The reported frequency on the items of the CHSQ question regarding co-sleep, asking whether the child falls asleep in parent’s or sibling’ s bed or sleep alone, were used to divide the children into three groups: usually co-sleep group, sometimes co-sleep group and sleep-alone group. Results Among 2,967 preschoolers, 6,272 children (65.5%) reported usually co-sleep, 816 children (8.5%) reported sometimes co-sleep, and 2,494 children (26%) reported sleeping alone. One-way ANOVAs showed significant differences among three groups in: 1) sleep patterns, including weekday nighttime sleep duration (F=24.43, p&lt;.01), weekend nighttime sleep duration (F=3.13, p&lt;.05), weekday nap duration (F=4.24, p&lt;.05), and weekend nap time (F=4.39, p&lt;.05); 2) sleep problems on the CHSQ, including bed time resistance (F=7027.25, p&lt;.01), sleep onset delay (F=33.06, p&lt;.01), sleep duration (F=65.51, p&lt;.01), sleep anxiety (F=788.48, p&lt;.01), night waking (F=37.90, p&lt;.01), parasomnias (F=47.43, p&lt;.01), sleep disorder breathing (F=7.58, p&lt;.01), and sleepiness (F=13.44, p&lt;.01); 3) behavioral problems and development on the SDQ, including hyperactivity (F=21.16, p&lt;.01), emotional symptom (F=23.08, p&lt;.01), conduct problem (F=8.65, p&lt;.01), peer problems (F=20.59, p&lt;.01), and prosocial (F=17.67, p&lt;.01). Conclusion Our results indicate that children with more frequent co-sleep may have shorter sleep duration, more sleep problems as well as more external and internal behavioral problems, while sleep-alone children showed more prosocial behaviors, longer sleep duration, and less sleep problems. The potential developmental problems related to co-sleep may be underestimated in Asian culture and need more attentions. Support (if any):

scholarly journals COVID-19 illness in relation to sleep and burnout

2021 ◽  
pp. bmjnph-2021-000228
Author(s):  
Hyunju Kim ◽  
Sheila Hegde ◽  
Christine LaFiura ◽  
Madhunika Raghavan ◽  
Eric Luong ◽  
...  
Keyword(s):  
Risk Factors ◽  
High Risk ◽  
Sleep Duration ◽  
Sleep Problems ◽  
Inverse Association ◽  
Sleep Habits ◽  
Lower Odds ◽  
Logistic Regression Models ◽  
High Level ◽  
Daytime Nap

BackgroundSleep habits and burnout have been shown to be associated with increase in infectious diseases, but it is unknown if these factors are associated with risk of COVID-19. We assessed whether sleep and self-reported burnout may be risk factors for COVID-19 among high-risk healthcare workers (HCWs).MethodsFrom 17 July to 25 September 2020, a web-based survey was administered to HCWs in six countries (France, Germany, Italy, Spain, UK, USA) with a high frequency of workplace exposure. Participants provided information on demographics, sleep (number of sleep hours at night, daytime napping hours, sleep problems), burnout from work and COVID-19 exposures. We used multivariable linear and logistic regression models to evaluate the associations between sleep, burnout and COVID-19.ResultsAmong 2884 exposed HCWs, there were 568 COVID-19 cases and 2316 controls. After adjusting for confounders, 1-hour longer sleep duration at night was associated with 12% lower odds of COVID-19 (p=0.003). Daytime napping hours was associated with 6% higher odds, but the association varied by countries, with a non-significant inverse association in Spain. Compared with having no sleep problems, having three sleep problems was associated with 88% greater odds of COVID-19. Reporting burnout ‘every day’ was associated with greater odds of COVID-19 (OR: 2.60, 95% CI 1.57 to 4.31, p trend across categories=0.001), longer duration (OR: 2.98, 95% CI 1.10 to 8.05, p trend=0.02) and severity (OR: 3.26, 95% CI 1.25 to 8.48, p trend=0.02) compared with reporting no burnout. These associations remained significant after adjusting for frequency of COVID-19 exposures.ConclusionsIn six countries, longer sleep duration was associated with lower odds of COVID-19, but the association with daytime nap may not be consistent across countries. Greater sleep problems and high level of burnout were robustly associated with greater odds of COVID-19. Sleep and burnout may be risk factors for COVID-19 in high-risk HCWs.

scholarly journals Sleep patterns among Norwegian nurses between the first and second wave of the COVID-19 pandemic

BMC Nursing ◽  
2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Siri Waage ◽  
Ståle Pallesen ◽  
Øystein Vedaa ◽  
Hogne Buchvold ◽  
Kjersti Marie Blytt ◽  
...  
Keyword(s):  
Health Care ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Health Care Workers ◽  
Sleep Problems ◽  
Virus Disease ◽  
Categorical Variables ◽  
Sleep Patterns ◽  
Care Workers ◽  
Relevant Variables

Abstract Background Nurses are in the frontline and play an important role in the battle against the COrona VIrus Disease-2019 (COVID-19) pandemic. Sleep problems among health care workers are likely to increase due to the pandemic. However, it is conceivable that negative health outcomes related to the pandemic fluctuate with the infection rate waves of the pandemic. The present study aimed to investigate sleep patterns among Norwegian nurses, after the first wave, during a period with very low rates of COVID-19. Methods Data stemmed from the cohort study “SUrvey of Shift work, Sleep and Health (SUSSH)” among Norwegian nurses. A total of 1532 nurses responded one time to a questionnaire between June and September in 2020 including items about demographics and work, information about COVID-19 and quarantine, sleep patterns and changes in sleep patterns due to the pandemic. Descriptive statistics for all relevant variables were calculated and McNemar tests were used to compare categorical variables. Results The majority of nurses (84.2%) reported no change in sleep duration after the first wave of the COVID-19 pandemic compared to before, 11.9% reported less sleep, and 3.9% reported more sleep. Similarly, 82.4% of the nurses reported no change in their sleep quality, whereas 16.2% of the nurses reported poorer sleep quality after the first wave of the pandemic compared to before. The majority of nurses reported no change in their sleep schedule due to the pandemic, although 9.6% of the nurses reported to go to bed later and 9.0% woke up earlier than before the pandemic. Conclusions Most existing literature exploring sleep among health care workers during the COVID-19 pandemic has been carried out during periods with high infection rates. In this study we aimed to investigate sleep patterns among Norwegian nurses following the first wave, during a period of low COVID-19 rates in Norway. Most of the nurses reported no change in neither sleep duration, sleep quality, bedtime, nor wake-up times compared to before the pandemic. Still, nearly 12% reported shorter sleep duration, and about 16% reported poorer sleep quality indicating that some nurses experienced worsening of their sleep following the pandemic.

scholarly journals Sleep Patterns of Urban and Rural School-going Adolescents

2016 ◽  
Vol 1 (1) ◽  
pp. 20-23
Author(s):  
Nitin Trivedi ◽  
Munish Kumar Kakkar ◽  
Divya Bohra ◽  
Jitendra Gupta ◽  
Yashu Saini
Keyword(s):  
Urban Area ◽  
Rural Area ◽  
Urban Areas ◽  
Total Sleep Time ◽  
Sleep Time ◽  
Rural School ◽  
Rural Setting ◽  
Sleep Patterns ◽  
Sleep Habits ◽  
Significant Difference

ABSTRACT Objective To analyze the variance in sleep habits of adolescents (10—18 years) in urban and rural Rajasthan. Design: Cross-sectional questionnaire-based study. Setting: Community based school survey in an urban and a rural setting. Subjects: School-going adolescents 10 to 18 years. Materials and methods A total of 565 adolescents aged 10 to 18 years were included. The questionnaire contained questions related to sleep habits. Each question was explained to the participants and their responses were noted. Outcome parameters were total sleep time. Results Out of 585 adolescents, 285 were residing in urban areas while 280 from rural areas. Total 43.3% adolescent were using bedroom for sleep only without any significant difference in rural and urban area. Alcohol consumption was seen in urban area only (n = 6) and mainly by 10 to 15 year age group. Urban adolescents on week days spend 7.15 hours of sleep while on week ends they spend 9.2 hours while In rural area week days sleep was 6.34 hours while at week ends it was 6.64 hours. So surprisingly sleep deprivation was more in rural area and there was not much variation in total sleep time in rural area on weekdays or weekend. How to cite this article Kakkar MK, Bohra D, Trivedi N, Gupta J, Saini Y. Sleep Patterns of Urban and Rural School- going Adolescents. J Mahatma Gandhi Univ Med Sci Tech 2016;1(1):20-23.

scholarly journals Prevalence of sleep problems and its relation to sleeping habits in toddlers

2019 ◽  
Vol 2 (1) ◽  
pp. 29-34
Author(s):  
Sima Maree ◽  
Esa Mohammadi Zidi ◽  
Saeed Yari ◽  
Maryam Javadi
Keyword(s):  
Sleep Duration ◽  
Attention Deficit Disorder ◽  
Sleep Problems ◽  
Pearson Correlation ◽  
Sleep Time ◽  
Sleep Habits ◽  
Chi Square ◽  
Sleeping Habits ◽  
Children’S Sleep ◽  
The Impact

Background: Sleep problems in children have serious physical and psychological consequences such as obesity, aggression and attention deficit disorder in toddlers. The aim of the present study was to determine the prevalence of sleep problems and its relation with sleeping habits of toddlers in 2017. Methods: By random sampling from rural families of Razan city of Hamadan province, 120 mothers of 12- to 36-month-old children were selected and data collection tools included contextual questions, medical history and 33-question questionnaire of children's sleep habits (CSHQ) completed. Data were analyzed by SPSS software version 23, independent t-test, chi-square, Pearson correlation coefficient and multiple linear regression. Results: The mean age of the children was 22.82±7.53 months and 55% of them were boys and the prevalence of sleep problems was 70.8% (95% confidence interval: 71.9-69.7). The average sleep duration of the children was 11 hours and more than 60% of the children went to bed after 23 o'clock. Results show that age is an important factor in most dimensions of CSHQ and age predicts daytime sleepiness (β = -0.263), nocturnal wakefulness (β = -0.113) and duration, Sleep time (β = -0.108) and sleep resistance (β = 0.194) respectively. Also, parents' education and child's current weight were predictors of subscales of CSHQ questionnaire (P <0.05). In addition, there was a positive and significant correlation between sleep duration with infant sleep anxiety (r = 0.527) and resistance to sleep (r = 0.473) as well as nocturnal wakefulness with parasomnia (r = 0.416) (P <0.001). Conclusion: Given the alarming prevalence of sleep problems in toddlers in the present study and the impact of some changeable factors on children's sleep health, designing interventions aimed at educating mothers to improve healthy sleep habits in toddlers is necessary.

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