Adolescent Sleep Patterns Research Articles

Sleep Status Among Children and Adolescents Aged 6-17 Years - China, 2016-2017.

There has been little to no description of sleep status among children and adolescents nationwide in recent years. This report assesses the sleep duration and sleep patterns of children and adolescents in China. Approximately half of the adolescents did not get the recommended amount of sleep on school days, and more than half overslept on weekends. The importance of children and adolescents meeting recommended sleep durations needs greater emphasis, especially among older age groups and those in urban areas.

Longitudinal associations between adolescent catch-up sleep, white-matter maturation and internalizing problems

Sleep is an important contributor for neural maturation and emotion regulation during adolescence, with long-term effects on a range of white matter tracts implicated in affective processing in at-risk populations. We investigated the effects of adolescent sleep patterns on longitudinal changes in white matter development and whether this is related to the emergence of emotional (internalizing) problems. Sleep patterns and internalizing problems were assessed using self-report questionnaires in adolescents recruited in the general population followed up from age 14–19 years (N = 111 White matter structure was measured using diffusion tensor imaging (DTI) and estimated using fractional anisotropy (FA). We found that longitudinal increases in time in bed (TIB) on weekends and increases in TIB-variability between weekdays to weekend, were associated with an increase in FA in various interhemispheric and cortico-striatal tracts. Extracted FA values from left superior longitudinal fasciculus mediated the relationship between increases in TIB on weekends and a decrease in internalizing problems. These results imply that while insufficient sleep might have potentially harmful effects on long-term white matter development and internalizing problems, longer sleep duration on weekends (catch-up sleep) might be a natural counteractive and protective strategy.

Do both timing and duration of screen use affect sleep patterns in adolescents?

Sleep duration has declined in adolescents over the last 30 years and screen use has been identified as a risk factor. Studies have examined the duration of screen use and screen-based activities but have not differentiated between evening and night-time use. Cross sectional questionnaire survey of adolescents recruited in schools. Sleep habits on school nights and weekends, symptoms of insomnia and daytime repercussions were recorded using an online questionnaire administered in the classroom setting. Sleep deprivation (<7 hours in bed /night), school night sleep restriction (≥2 hours difference in sleep duration on school nights vs weekends), excessive sleepiness (score >6 on a visual analogue scale), duration of screen use and timing of screen use (evening vs after bedtime) were determined. 2513 students (53.4% female, median age 15 years) were included. 20% were sleep deprived and 41% sleep restricted. A clear dose effect relationship in a model controlling for age, sex, school level and sociodemographic class was seen with all levels of night-time screen use on sleep deprivation and sleep restriction (>2 hours use sleep deprivation OR 5.23[3.03-9.00]. sleep restriction OR 2.05[1.23-3.42]) and > 2 hours evening use (>2 hours use sleep deprivation OR 2.72[2.15-3.44] sleep restriction OR 1.69[1.36-2.11]) but not moderate evening use. All night-time use and > 2 hours evening use increased the risk of insomnia, non refreshing sleep, and affected daytime function (daytime sleepiness, lack of energy and irritability). Both duration of screen use and timing are associated with adverse effects on sleep and daytime functioning in adolescents. More than 2 hours evening use and all night-time use should be avoided.

Characteristic Sleep Patterns and Associated Obesity in Adolescents.

Poor sleep adversely affects health and may cause obesity. Poor sleep includes short sleep duration, low quality of sleep, and sleep discrepancy. Although most studies have focused on the association between sleep duration and obesity, poor sleep is a significant risk factor for obesity. Adolescents have characteristic sleep patterns which correspond to poor sleep. Adolescents sleep late due to various biological and psychosocial factors; also, they wake up early to be on time for school. This causes them to sleep less. To make up for this sleep debt, adolescents sleep more on non-school days, which causes sleep discrepancies. Therefore, since adolescents have characteristic sleep patterns, an in-depth investigation is needed to identify whether poor sleep is a risk for obesity. This article presents an overview of the characteristic sleep patterns of adolescents, and reviews studies on the association of each sleep pattern with obesity.

Characteristics of Sleep Patterns in Adolescents: Comparisons between Saudi Arabia and the UK.

There are concerns regarding sleep deprivation among adolescents, especially with mounting evidence for the importance of sleep during puberty, and its effects on health and families. The present study aimed to characterise sleep in typical development (TD) adolescents in Saudi Arabia, and compare their sleep profiles to TD adolescents in the UK, to evaluate sleep patterns in adolescents in Saudi Arabia, and to examine the relationship between sleep patterns and the use of social media in both groups. Findings from the current study reported a shorter sleep duration for the Saudi Arabia group than in previous studies and the UK group, which may be attributed to the lack of sleep hygiene practised in Saudi Arabia. Multiple analysis of variance results found significant differences in daytime sleepiness (p < 0.001) and a preference for morningness/eveningness (p < 0.001) between Saudia Arabia and UK adolescents. Statistically significant negative correlations (p > 0.05) between the duration of social media usage and sleep duration were found in both the Saudi Arabia and UK adolescents, where a lower number of sleep hours was observed with a higher duration of social media use. This study fills a gap in the research of sleep in Saudi Arabia in adolescents, and offers important insights on the comparison in sleep habits between Saudi Arabia and UK adolescents.

Changes in adolescents' sleep during COVID-19 outbreak reveal the inadequacy of early morning school schedules.

ObjectivesThe forced closure of schools during the COVID-19 outbreak imposed on adolescents a new reality of home-schooling. This new situation has affected adolescent sleep patterns due to the absence of the pressure to wake up earlier induced by school times during pandemic. This study aimed to investigate the changes in sleep and napping habits in Brazilian adolescents during the COVID-19 outbreak.MethodsA sample of 259 high school adolescents (mean age = 15.5 years) reported sleep and napping habits by means validated questionnaires in both baseline year (March-June 2019) and during COVID-19 lockdown (July 2020).ResultsThe tendency to eveningness was higher and daytime sleepiness was reduced during the social isolation. Time in bed (TIB) increased by more than 2 hours and sleep onset time was delayed during the pandemic. More adolescents reported getting enough TIB during the pandemic. Moreover, sleepiness during remote classes was reduced compared to that reported during traditional classes one year before. The nap habit decreased during the pandemic compared to the baseline year.DiscussionThe lack of early wake-up pressure to attend school in the morning could explain the sleep improvements perceived during the COVID-19 outbreak. Therefore, parents, educators, and policy makers need to discuss more feasible school times for adolescents in order to implement these changes as soon as returning to presential/hybrid learning.

Screen media use and sleep patterns in Spanish adolescents during the lockdown of the coronavirus pandemic.

PurposeThe aim of this study was to investigate screen media use and sleep patterns among Spanish adolescents during the lockdown (LD) of the first peak of the coronavirus pandemic.MethodsCross-sectional community-based study of adolescents aged 11–18 years. An online questionnaire with queries about screen time, sleep, and other healthy habits was completed by parents or guardians.ResultsOverall 265 adolescents were enrolled. The mean age was 13.6 ± 2.3 years, 58% were boys, 68% were in secondary school and 72% lived in urban areas. Before the LD (BLD) 87% of adolescents used electronic devices < 4 h/d, while during the LD (DLD) screen time was > 4 h/d in 75% of cases (p < 0.0001). A delayed wake time and bedtime weekdays (BLD wake time weekdays: later than 09:45 0.0% vs. DLD 30%, p < 0.0001, and BLD bedtime weekdays: later than 00:30 3% vs. DLD 35%, p < 0.0001) and weekends DLD was observed. Adolescents who used electronic devices > 4 h/d DLD compared with those who used < 4 h/d reported more frequently long sleep latency (93% vs. 7%, p = 0.007), low sunlight exposure (77% vs. 23%, p = 0.031), less physical activity (86%. vs. 15%, p = 0.011) and weight gain (78%. vs. 22%, p = 0.049).ConclusionsDuring the lockdown Spanish adolescents reported elevated screen time and delayed sleep patterns. An increase in screen media use was associated with unhealthy habits.

Probing different aspects of short and ill-timed sleep in adolescents using the Morningness-Eveningness Scale for Children

ABSTRACT Sleep problems among adolescents are believed to be related to the circadian changes that occur at this age. Therefore, most self-report instruments that measure sleep patterns in adolescence focus solely on measuring circadian rhythms. However, sleep-wake cycles reflect both circadian and homeostatic processes. Recently, it was shown that answers to the Morningness-Eveningness Questionnaire for adults, which is used to assess circadian typology, were able to identify three interrelated latent factors: two that can be conceptualized as homeostatic (sensitivity to the build-up of sleep pressure and efficiency of dissipation of sleep pressure) and a less well-defined factor related to activity preference time (APT). To better understand self-reported changes in sleep patterns in adolescents we applied confirmatory factor analysis to explore whether responses to the Morningness-Eveningness Scale for Children (MESC) could also identify these three factors. The sample comprised 397, 9- to 17-year-olds. A three-correlated and a bifactor-(S-1) model (with sleep onset characteristics as a reference factor) had acceptable/good fit indices. This indicates that the MESC captures dissociable, but interrelated, homeostatic and circadian processes in addition to APT. These factors correlated with corresponding reported sleep habits, showing individual differences that may be more associated with sleep difficulties than the effects of age, which only correlated very modestly with some sleep habits. Our results indicate that the MESC can show distinct individual differences in three sleep factors that can help identify adolescents at higher risk of sleep-related problems that may require factor-specific interventions.

Regularity and Timing of Sleep Patterns and Behavioral Health Among Adolescents.

Sleep is vital to supporting adolescent behavioral health and functioning; however, sleep disturbances remain under-recognized and undertreated in many health care settings. One barrier is the complexity of sleep, which makes it difficult for providers to determine which aspects-beyond sleep duration-may be most important to assess and treat to support adolescent health. This study examined associations between 2 sleep indices (regularity and timing) and adolescent behavioral health and functioning over and above the impact of shortened/fragmented sleep. Eighty-nine adolescents recruited from the community (mean age = 14.04, 45% female participants) completed 7 days/nights of actigraphy and, along with a parent/guardian, reported on behavioral health (internalizing and externalizing symptoms) and psychosocial functioning. Stepwise linear regressions examined associations between sleep timing and regularity and behavioral/functional outcomes after accounting for shortened/fragmented sleep. Delayed sleep timing was associated with greater self-reported internalizing (F[6,82] = 11.57, p = 0.001) and externalizing (F[6,82] = 11.12, p = 0.001) symptoms after accounting for shortened/fragmented sleep. Irregular sleep was associated with greater self-reported and parent-reported externalizing symptoms (self: F[7,81] = 6.55, p = 0.01; parent: F[7,80] = 6.20, p = 0.01) and lower psychosocial functioning (self: F[7,81] = 6.03, p = 0.02; parent: F[7,78] = 3.99, p < 0.05) after accounting for both shortened/fragmented sleep and delayed sleep timing. Sleep regularity and timing may be critical for understanding the risk of poor behavioral health and functional deficits among adolescents and as prevention and intervention targets. Future work should focus on developing and evaluating convenient, low-cost, and effective methods for addressing delayed and/or irregular adolescent sleep patterns in real-world health care settings.

701 Daily Associations Between Adolescent Sleep and Mental Health During the COVID-19 Pandemic

IntroductionSleep disturbances after a trauma forecast mental health difficulties such as post-traumatic stress symptoms (PTSS). COVID-19 has resulted in numerous stressors for youth (e.g., school closures, social isolation) that directly disrupt sleep and may have negative mental health consequences. However, investigations of sleep and adverse events in youth have primarily been limited to months or years after a trauma has occurred. How adolescent sleep patterns and mental health intersect during an ongoing adverse experience is unknown.MethodsAdolescents from the United States (N = 503; 80.9% female; 13–18 years) participated in an online daily diary study within 3 weeks after COVID-19 was declared a national emergency. Participants completed one week of twice daily reports (5406 observations) on their nightly sleep (sleep timing, sleep quality, sleep onset difficulties, and nightmares) and daytime mental health symptoms (COVID-19 PTSS, positive affect, negative affect, and loneliness).ResultsMixed models adjusting for age, sex, and socioeconomic status indicated that cyclical, bidirectional effects emerged, with daytime mental health symptoms predicting same-night sleep disturbances, and sleep disturbances predicting next-day mental health. Greater PTSS predicted sleep onset difficulties (Estimate = .02, SE = .004, t = 5.56 p < .001) and sleep onset difficulties predicted next-day PTSS (Estimate = .35, SE = .17, t = 2.04, p < .05). Greater daytime negative affect predicted greater nightmares (Estimate = .07, SE = .01, t = 4.97, p < .001), and nightmares predicted marginally more next-day negative affect (Estimate = .07, SE = .04, t = 1.66, p = .09). PTSS (Estimate = .01, SE = .003, t = 3.47, p < .001) and negative affect (Estimate = .05, SE = .03, t = 2.06, p < .05) both predicted poorer sleep quality the following night.ConclusionFindings suggest that mental health symptoms during the onset of the COVID-19 pandemic are associated with increased sleep disturbances. In turn, these sleep disturbances predict increased mental health symptoms. Overall, results provide a greater understanding of youth sleep patterns during COVID-19 and how sleep disturbances may inhibit resilience in the context of an ongoing stressor.Support (if any)Center for American Indian and Rural Health Equity

146 Better Aerobic Fitness Is Associated with Distinct Sleep Characteristics in Adolescents

Abstract Introduction Aerobic fitness facilitates brain synaptic plasticity, which influences global and local sleep expression. While it is known that sleep patterns/behavior and non-rapid eye movement (NREM) sleep slow wave activity (SWA) tracks brain maturation, little is known about how aerobic fitness and sleep interact during development in youth. The aim of this pilot was to characterize relationships among aerobic fitness, measures of global/local sleep expression, and habitual sleep patterns in children and adolescents. We hypothesized that greater aerobic fitness would be associated with better sleep quality, indicated by increased SWA. Methods 20 adolescents (mean age=14.6±2.3 years old, range 11-17, 11 females) were evaluated for AF (peak VO2 assessed by ramp-type progressive cycle ergometry in the laboratory), habitual sleep duration and efficiency (continuous 7-14 day actigraphy with sleep diary), and topographic patterns of spectral power in slow wave, theta, and sleep spindle frequency ranges in non-rapid eye movement (NREM) sleep using overnight polysomnography with high-density electroencephalography (hdEEG, 128 channels). Results Significant relationships were observed between peak VO2 and habitual bedtime (r=-0.604, p=0.013) and wake-up time (r=-0.644, p=0.007), with greater fitness associated with an earlier sleep schedule (going to bed and waking up earlier). Peak VO2 was a significant predictor of slow oscillations (0.5-1Hz, p=0.018) and theta activity (4.5-7.5Hz, p=0.002) over anterior frontal and central derivations (p&amp;lt;0.001 and p=0.001, respectively) after adjusting for sex and pubertal development stage. Similar associations were detected for fast sleep spindle activity (13-16Hz, p=0.006), which was greater over temporo-parietal derivations. Conclusion Greater AF was associated with earlier habitual sleep times and with enhanced expression of developmentally-relevant sleep oscillations during NREM sleep. These data suggest that AF may 1) minimize the behavioral sleep delay commonly seen during adolescence, and 2) impact topographically-specific features of sleep physiology known to mechanistically support neuroplasticity and cognitive processes which are dependent on prefrontal cortex and hippocampal function in adolescents and adults. Support (if any) NCATS grant #UL1TR001414 &amp; PERC Systems Biology Fund

145 Aerobic Fitness Is Associated with Advanced Circadian Rhythms in Adolescents

Abstract Introduction Aerobic fitness facilitates brain synaptic plasticity, which influences global and local sleep expression. While it is known that sleep patterns/behavior and non-rapid eye movement (NREM) sleep slow wave activity (SWA) tracks brain maturation, little is known about how aerobic fitness and sleep interact during development in youth. The aim of this pilot was to characterize relationships among aerobic fitness, measures of global/local sleep expression, and habitual sleep patterns in children and adolescents. We hypothesized that greater aerobic fitness would be associated with better sleep quality, indicated by increased SWA. Methods 20 adolescents (mean age=14.6±2.3 years old, range 11-17, 11 females) were evaluated for AF (peak VO2 assessed by ramp-type progressive cycle ergometry in the laboratory), habitual sleep duration and efficiency (continuous 7-14 day actigraphy with sleep diary), and topographic patterns of spectral power in slow wave, theta, and sleep spindle frequency ranges in non-rapid eye movement (NREM) sleep using overnight polysomnography with high-density electroencephalography (hdEEG, 128 channels). Results Significant relationships were observed between peak VO2 and habitual bedtime (r=-0.604, p=0.013) and wake-up time (r=-0.644, p=0.007), with greater fitness associated with an earlier sleep schedule (going to bed and waking up earlier). Peak VO2 was a significant predictor of slow oscillations (0.5-1Hz, p=0.018) and theta activity (4.5-7.5Hz, p=0.002) over anterior frontal and central derivations (p&amp;lt;0.001 and p=0.001, respectively) after adjusting for sex and pubertal development stage. Similar associations were detected for fast sleep spindle activity (13-16Hz, p=0.006), which was greater over temporo-parietal derivations. Conclusion Greater AF was associated with earlier habitual sleep times and with enhanced expression of developmentally-relevant sleep oscillations during NREM sleep. These data suggest that AF may 1) minimize the behavioral sleep delay commonly seen during adolescence, and 2) impact topographically-specific features of sleep physiology known to mechanistically support neuroplasticity and cognitive processes which are dependent on prefrontal cortex and hippocampal function in adolescents and adults. Support (if any) NCATS grant #UL1TR001414 &amp; PERC Systems Biology Fund

COVID-19 and sleep patterns in adolescents and young adults

ObjectiveIn March 2020, the world experienced a global pandemic, which involved the shutdown of schools or a transposition to remote teaching in most countries. The objective of the present study was to investigate the impact of the COVID-19 pandemic related lockdown on sleep patterns and sleep quality in adolescents and young adults. MethodsAn online survey was conducted in June 2020 with adolescents and young adults (n = 498) aged 12–25 years. Participants had to answer questions on sleep, first retrospectively, referring to the time prior to the pandemic, and then referring to the time during the pandemic. ResultsA pronounced shift towards later sleep combined with an increase in sleep duration was found during the pandemic. However, these changes in sleep habits were more pronounced in adolescents than in young adults and seem to occur mostly during weekdays compared to weekends. During the pandemic, teens also reported an improvement in daytime sleepiness and subjective sleep quality, while young adults reported an increase in sleep difficulties associated with sleep onset difficulties, nocturnal and early morning awakenings, and nightmares. ConclusionsThe COVID-19 related lockdown seems to have had a beneficial effect on sleep in adolescents. In young adults, benefits are not as obvious. These results support that later school start times would be beneficial for adolescents. However, in young adults it could be important to investigate the effects of other situational or interindividual factors (stress, lifestyle habits, employment, etc.).

The impact of lockdown on sleep patterns of children and adolescents with ADHD.

The current study examined the impact of home confinement (lockdown) because of the COVID-19 pandemic on the sleep patterns of children and adolescents with attention-deficit hyperactivity disorder (ADHD). Nine hundred ninety-two parents of children and adolescents with ADHD filled out an anonymous online survey through the ADHD family association website. The survey investigated the sleep patterns and disturbances (using a modified version of the Sleep Disturbance Scale for Children) and screen exposure time before and during lockdown. During lockdown, 59.3% of children and 69.4% of adolescents with ADHD reported a change of bedtime, with a significant increase in patients with ADHD who went to sleep at 11 pm or later. Sleep duration, in contrast, resulted in 2 opposing processes with more children and adolescents sleeping either less than 6 hours/night or 10-11 hours/night. Among children and adolescents, respectively, 19.9% and 22% slept less than they did before lockdown, whereas 21.4% and 27.4% slept for more hours. Bedtime delay and decreased sleep duration were associated with an increase in screen time exposure. Moreover, patients with ADHD reported an increase in sleep disturbances when compared to their previous condition, mainly including difficulties falling asleep, anxiety at bedtime, night awakenings, nightmares, and daytime sleepiness. Lockdown impacted sleep-wake rhythms by strengthening the maladaptive sleep patterns reported in usual-life conditions in children and adolescents with ADHD. Bruni O, Giallonardo M, Sacco R, Ferri R, Melegari MG. The impact of lockdown on sleep patterns of children and adolescents with ADHD. J Clin Sleep Med. 2021;17(9):1759-1765.

Prospective examination of adolescent sleep patterns and behaviors before and during COVID-19.

Study ObjectivesTo prospectively examine changes in adolescent sleep before and during the COVID-19 pandemic in adolescents with and without ADHD.MethodsParticipants were 122 adolescents (ages 15–17; 61% male; 48% with ADHD). Parents reported on adolescents’ sleep duration and difficulties initiating and maintaining sleep (DIMS); adolescents reported on sleep patterns, sleep duration, delayed sleep/wake behaviors, and daytime sleepiness before (September 2019 to February 2020) and during (May–June 2020) COVID-19. Adolescents also reported on their health behaviors, COVID-19-related negative affect, and difficulties concentrating due to COVID-19.ResultsParents reported adolescents had more DIMS during COVID-19 than before COVID-19, with clinically elevated rates increasing from 24% to 36%. Both bedtimes and waketimes shifted later during COVID-19, and adolescents reported more delayed sleep/wake behaviors. Adolescents also reported less daytime sleepiness and longer school night sleep duration during COVID-19. In considering differences between adolescents with and without ADHD, adolescents with ADHD did not experience an increase in school night sleep duration and were less likely to obtain recommended sleep duration during COVID-19. In the full sample, controlling for ADHD status, COVID-19-related sadness/loneliness was associated with increases in DIMS, and spending less time outside and more COVID-19-related worries/fears were associated with increases in delayed sleep/wake behaviors during COVID-19.ConclusionsCOVID-19 had negative and positive impacts on adolescent sleep. Adolescents with ADHD did not experience the benefit of increased school night sleep duration during COVID-19 like adolescents without ADHD. Negative affect and health behaviors may be useful intervention targets for reducing negative impacts of COVID-19 for adolescent sleep.

Sleep Characteristics in the Italian Pediatric Population: A Systematic Review.

Objective:During childhood sleep duration, quality and patterns evolve and change greatly and relate strongly to healthy development. This systematic review aims to summarize the literature on sleep characteristics in the Italian pediatric population, adopting a cultural perspective.Method:Pubmed, PsycINFO and Medline databases were systematically searched. Eligible studies had to: include Italian children and adolescents; report data for one or more sleep-related variables; be published in English or Italian.Results:Twenty-nine studies were selected including 18551 Italian children or adolescents. Studies were categorized by age group: infancy and toddlerhood (0-3 years); preschool and school age (3-12 years); adolescence (12-18 years) and mixed age groups. Overall, studies showed that the Italian pediatric population present shorter sleep duration and longer sleep onset latency compared to international recommendations. Furthermore, data indicate high prevalence of dysfunctional sleep habits, such as late bed-time (all age groups), involvement of parents during bed-time (infancy and toddlerhood), and high variability between sleep times on week-days vs. weekends (adolescence). Nevertheless, most studies lacked comprehensive data on sleep patterns, focusing instead on isolated variables.Conclusion:These results suggest a strong trend among Italian children and adolescents towards unhealthy sleep patterns. Comprehensive data are still lacking and large studies evaluating a broad range of sleep characteristics in Italian pediatric populations are needed. Data strongly suggest that Italian Pediatric Primary Care should place higher focus on sleep problems and implement clinical protocols directed towards improving sleep patterns in children and adolescents.

Dikkat Eksikliği/Hiperaktivite Bozukluğu olan Çocuk ve Ergenlerde Yeme ve Uyku Alışkanlıklarının Değerlendirilmesi

Giriş ve Amaç: Bu çalışmanın amacı Dikkat Eksikliği/Hiperaktivite Bozukluğu (DEHB) tanılı 11-17 yaş arası çocuk ve ergenlerin yeme tutumları ve uyku paternlerinin sağlıklı kontrollerle karşılaştırılarak incelenmesidir.&#x0D; Gereç ve Yöntemler: 11-17 yaş arası 35 DEHB tanılı çocuk ve ergen ile yaş ve cinsiyet olarak eşleştirilmiş herhangi bir psikopatolojisi olmayan 11-17 yaş arası 35 sağlıklı kontrol örneklemi oluşturdu. Her iki gruba sosyodemografik veri formu, Okul Çağı Çocukları için Duygulanım Bozuklukları ve Şizofreni Formu-Şimdi ve Yaşam boyu şekli Türkçe Uyarlaması (K-SADS-PL), Yeme Tutumu Testi (YTT), Düzey-2 Uyku Bozukluğu-6-17 Yaş Arası Çocuğun Ebeveyn Formu, Düzey-2 Uyku Bozukluğu-11-17 Yaş Arası Çocuk formu uygulandı.&#x0D; Bulgular: DEHB tanılı grup ve kontrol grubu arasında Düzey-2 Uyku Ölçeği Ebeveyn Formu ve YTT toplam puanlarında istatistiksel olarak anlamlı fark saptandı (p

Perceived Barriers and Facilitating Factors in Implementing Delayed School Start Times to Improve Adolescent Sleep Patterns.

Most adolescents in the United States do not obtain sufficient sleep. Early school start times play a significant role in adolescent sleep deprivation. Most primary and secondary schools begin classes earlier than the 8:30 am. Perceived barriers to implementing a delayed school start time have been suggested in the literature but have not been quantified. This study explored perceived barriers and facilitating factors for implementing delayed high-school start times. A cross-sectional study. School administrators who had delayed their school start times were invited to complete an online questionnaire ranking the perceived barriers and facilitating factors for implementing the delayed start times. Most commonly cited perceived barriers were lack of a tiered bus system, school athletes missing more afternoon classes, and less time after school for athletics. Most commonly cited facilitating factors were school-administrator involvement in the decision-making process and sleep education for family members and school administrators. Participants found that providing sleep education to fellow administrators, teachers, school staff members, families, and students and including them in the decision-making process positively facilitated the implementation of delayed school start times. Perceived barriers to implementation may be overcome with support from stakeholders and planning committees.

Eating habits and sleep patterns of adolescents with depression symptoms in Mumbai, India.

Adolescents with depression engage in unhealthy eating habits and irregular sleep patterns and are often at an increased risk for weight‐related problems. Improvement in these lifestyle behaviours may help to prevent depression, but knowledge about the associations between depression, sleep, eating habits and body weight among adolescents in India is limited. This cross‐sectional study investigated the prevalence of depression and its association with sleep patterns, eating habits and body weight status among a convenience sample of 527 adolescents, ages 10–17 years in Mumbai, India. Participants completed a survey on sleep patterns such as sleep duration, daytime sleepiness and sleep problems and eating habits such as frequency of breakfast consumption, eating family meals and eating out. Depression was assessed using the Patient Health Questionnaire modified for Adolescents (PHQ‐A). Anthropometric measurements were also taken. Within this sample, 25% had moderate to severe depression (PHQ‐A ≥ 10) and 46% reported sleeping less than 6 h > thrice a week. Adolescents with moderate to severe depression had significantly higher body mass index than those with minimal depression (26.2 ± 6.6 vs. 20.2 ± 4.8 kg/m2). The odds of having clinically significant depression (PHQ‐A ≥ 10) was 4.5 times higher in adolescents who had family meals ≤ once a week, 1.6 times higher among those who were sleeping <6 h and 2.3 times higher among participants having trouble falling to sleep more than thrice a week. The findings indicated that a significant proportion of adolescents had depression symptoms; improving sleep and eating habits may present potential targets for interventions.

Sleep Quality and Associated Factors among Adolescents

Introduction: This study aimed to investigate sleep quality and sleep patterns in adolescents. The second aim was to find out whether there was an association between sleep quality, sleep patterns, dietary habits, food consumptions, and anthropometric measurements in an adolescent population.Material and methods: This cross-sectional study was conducted on 346 adolescents. Data was recorded with a questionnaire form. The questionnaire form included items on adolescents’ characteristics, sleep patterns, dietary habits, food consumptions, and anthropometric measurements. Sleep quality was measured using the Pittsburgh Sleep Quality Index (PSQI). Results: Sleep duration of &gt;8 hours (67.6%) and sleep latency of 15 minutes (53.8%) were the most commonly identified sleeping patterns. The mean PSQI score was 3.07±2.54. PSQI scores revealed poor sleep quality in 13.6% of participants. A significant difference was observed between age, disease diagnosed by physician, skipping main meals, having regular breakfast, and PSQI score (p&lt;0.05). PSQI score was found to be significantly associated with spending time in front of the computer and regular sleep. The amount of daily saturated fatty acid was statistically significantly lower (p=0.040) in individuals in the good PSQI. Conclusions: The vast majority of adolescents had good sleep quality. Sleep duration of adolescents was consistent with the recommended need. Individual factors, dietary habits, food consumption, and screen times were factors associated with sleep quality. This current study results support the development of interventions to help adolescents improve sleep quality. We recommend further investigation to clarify this finding.