Sleep Quality In Adolescents Research Articles

The Relationship Between Smartphone Use and Sleep Quality in Adolescents at Senior High School Negeri 1 Seram Bagian Barat District. Kairatu, West Part of Seram District

A smartphone is a telephone that is equipped with an internet connection and provides Personal Digital Assistant (PDA) functions such as a calendar, agenda book, calculator, notes, and various sophisticated applications to assist with daily activities. The sophistication and convenience provided by smartphones today causes many people to be trapped in always using smartphones. Excessive smartphone use can have unwanted negative impacts, especially on the health of its users. One of the negative impacts of smartphone use is the disruption of sleep quality. Smartphone use at bedtime can affect sleep quality to be poor, sleep efficiency decreases, and the onset of sleep becomes longer. Smartphones can be habit-forming, in the form of checking habits, repeated checks and the speed of accessing various content using smartphones can affect the increase in smartphone use or addiction. Objective The research was to identify the relationship between smartphone use and sleep quality in adolescents at Senior High School Negeri 1 seram . This research method uses quantitative research with descriptive analytic with Cross Sectional approach. A sample of 213 respondents, using the technique simple random sampling. Analysis data by using the chi square test. The results of the study were based on the chi-square statistical test which refers to the Fisher's Exact Test value, which obtained a p.value of 0.000 where <0.05 indicated that H0 was rejected and Ha was accepted, which means that there is a relationship between smartphone use and sleep quality in adolescents at Senior High School Negeri 1.

Affiliative Parent−Adolescent Bedtime and Waketime Interactions are Associated with Adolescent Sleep

ABSTRACT Objectives The current study examined whether evening and morning affiliation (i.e., warmth) and autonomy (i.e., more or less in charge) around sleep routines predicted adolescent sleep on weekdays. Method Participants were 28 parent (Mage = 43.19; 85.17% mothers) and adolescent (Mage = 12.34 years) dyads who completed the same electronic diaries morning and evening for 10 days, with a total number of 221 nights observed across dyads. Sleep duration and sleep quality were assessed via the Pittsburgh Sleep Diary; degree of affiliation and autonomy around bedtime and waketime routines were assessed with single items on a visual analog scale. Multilevel modeling was utilized to evaluate the effects of more or less affiliation or autonomy on sleep outcomes (i.e., duration and quality) between and within dyads. Results Across all participants, adolescents who reported more affiliative interactions with their parent around bedtime and waketime slept longer and had better sleep quality at night. Further, when adolescents experienced greater than average affiliative interactions with their parent than was typical for them, they had better sleep quality that night. Adolescent sleep quality and duration were not impacted by whether or not adolescents were in charge of their bedtime and waketime routines. Conclusions Findings support parents’ role in social and emotional security and highlight the importance of affiliative parent interactions around the sleep period for optimal sleep for young adolescents.

Illness uncertainty, cognitive-emotional arousal, and sleep outcomes among emerging adults with a chronic medical condition

Objective: Investigate the sleep hygiene and quality of emerging adults with a CMC compared to healthy peers as well as potential predictors of sleep quality. Participants: College students with and without a CMC (n = 137 per group; aged 18–23 years) at a Midwestern university. Methods: Participants reported on anxious and depressive symptoms, sleep quality, sleep hygiene, and illness uncertainty. Results: College students with a CMC reported poorer sleep quality (Adolescent Sleep Quality Scale-Revised) and hygiene (Adolescent Sleep Hygiene Scale-Revised) than the non-CMC group. The indirect effect of internalizing symptoms on sleep quality via cognitive-emotional arousal was only significant in the CMC. Illness uncertainty demonstrated a significant indirect effect on sleep quality though the consecutive influence of internalizing symptoms and cognitive-emotional arousal. Conclusions: Emerging adults with CMCs may experience poorer sleep outcomes than peers. Illness uncertainty, internalizing symptoms, and cognitive-emotional arousal appear relevant to sleep outcomes, suggesting clinical implications for these constructs.

Penggunaan Media Sosial Dan Kualitas Tidur Pada Remaja

Social media allows everyone to interact and share various activities in the form of photos or videos. Most social media users are teenagers. Social media is a need that can become addictive for teenagers. Excessive use of social media can have a negative impact on adolescents such as the poor quality of adolescent sleep. The purpose of this study was to analyze the relationship between social media use and sleep quality in adolescents. This research was conducted quantitatively using a cross-sectional design with a sampling technique that is accidental sampling and obtained a total sample of 91 respondents, namely adolescents and data collection using a questionnaire on the intensity scale of social media use (SIPMS) and the Pittsburgh Sleep Quality Index (PSQI). The results of the Chi Square test, obtained a p value = 0.025, which means that most teenagers who use active social media have poor sleep quality. Active use of social media can disrupt sleep patterns more when compared to passive use of social media, so researchers hope that there will be treatment that can be done to manage time and patterns of social use so that the sleep quality of social media users is good, especially in adolescents.

0779 Impact of 8-h Time Limited Eating on Sleep in Adolescents with Obesity

Abstract Introduction Time-based interventions, such as time-limited eating (TLE), have become a promising dietary strategy in adults with obesity. TLE involves shortening the daily eating window to a pre-specified number of hours and fasting for the remaining hours of the day without altering diet quality. No study to date has examined the impact of TLE on sleep quality in adolescents with obesity. Methods We conducted a secondary analysis of a 12-week pilot study that compared TLE (8-h eating window/16-h fasting window) to a prolonged window (12-h eating window/12-h fasting window) in adolescents with obesity (ages 14 to19, 72% female, 74% Hispanic). All youth completed the Pittsburgh Sleep Quality Index (PSQI) at baseline (n = 42), weeks 4 (n = 43), and 12 (n = 42). The seven component PSQI score, develops a global score that ranges from 0 to 21, where higher scores indicates worse sleep. Glycemic profiles were captured via continuous glucose monitors (CGM) worn for the duration of the study. Mixed effects generalized linear model in log scale and ordinal logistic regression models were utilized to (a) examine the change in PSQI total score and (b) assess the association between glycemic variability and PSQI total score overtime by intervention arm. Results Across all youth included in this analysis (n = 43), there was improvement in PSQI total score at week 12 compared to baseline that was marginally significant after adjusting for multiple testing (% change = -19.60, 95%CI = -31.83 to -5.18, p = 0.057). The median PSQI score for the TLE group (n = 29) was 6 at week 0 (5 to10) and 5 at week 12 (2.5 to 7), suggesting sleep quality improved. The changes in PSQI total score, sleep ratio, and sleep onset score over the course of study were not statistically different between groups (p > 0.05). There was no significant association between glycemic variability and PSQI score between the groups. Conclusion Findings from this secondary analysis indicate that TLE does not negatively alter sleep quality or duration in adolescents with obesity. The potential effects of TLE on sleep should be further investigated in larger randomized trials. Support (if any)

0783 Sleep Continuity and Quality in Adolescents with Functional Abdominal Pain

Abstract Introduction Functional Abdominal Pain Disorders (FAPD), in which chronic abdominal pain occurs independently of organic pathology, are common in adolescents. FAPD can lead to significant impairment in daytime function and may overlap with sleep disorders. Though several studies have explored the nature of sleep disturbances experienced by adolescents with FAPD, none have characterized differences in sleep architecture in this population. Methods Adolescents (age 11-18 years) with FAPD and age/gender-matched controls were prospectively recruited to undergo polysomnography (PSG). PSG was performed according to AASM guidelines, scored by a registered sleep technologist, and interpreted by a board-certified sleep physician. The first four hours of artifact-free NREM sleep were analyzed using fast Fourier transformation with Welch tapered windows of 1024 samples (and 50% overlap) averaged over 30-second epochs. Total power was calculated for very low (0.3 – 1 Hz), delta (1 – 4 Hz), theta (4 – 8 Hz), and alpha (8-12 Hz) frequencies. Comparisons between groups were made using Wilcoxon rank sum tests or t-tests for non-normal and normal data, respectively. Results A total of 41 subjects were recruited (FAPD n=21, control n=20). The FAPD group had a greater arousal index and a lower percentage of NREM 3 sleep when compared to the control group (FAPD arousals: mean=10.08/min ± 4.89 min, control arousals mean=7.31/min ± 3.61/min, p = 0.046), FAPD NREM 3: mean=20.13% ± 5.47%, control NREM 3: mean=24.77% ± 6.94%, p =0.023). Delta power was significantly lower in the FAPD group compared to controls (FAPD Delta mean=488.67 µV2 ± 282.82 µV2, control Delta mean=1193.14 µV2 ± 663.89 µV2, p < 0.001). Conclusion This study demonstrates significant differences in sleep architecture of adolescents with FAPD compared to their peers. In particular, decreased proportions of NREM 3 sleep and lower Delta power are indicative of diminished slow wave sleep (SWS). Reductions in SWS may be indicative of common neurotransmitter pathways shared between sleep and chronic pain syndromes, or secondary to sleep disruption associated with pain. Further research is indicated. Support (if any) This research is supported by the Cincinnati Children’s Research Foundation and the Summer Medical Student Respiratory Research Fellowship program at Cincinnati Children’s.

Sleep quality and glycemic control in children and adolescents with type 1 diabetes mellitus.

This study aimed to investigate the frequency of sleep disorders, and the relationship between glycemic control and sleep characteristics in diabetic children and adolescents. Sixty-one patients followed for at least one year for type 1 diabetes mellitus (T1DM) aged 6-16 years old, and eighty-three group-matched healthy controls were included in the study. Time in range (TIR) and hypoglycemia episode numbers were recorded using the freestyle libre sensor data. The sleep characteristics were evaluated using the Sleep Disturbance Scale for Children (SDSC) validated survey. The diabetic patients were trichotomized according to SDSC scores, as low, medium, and high score groups. Sleep duration, SDSC total score, and subgroup scores except for sleep hyperhidrosis (3.11±1.53 vs. 2.16±0.85, p<0.001, respectively) were similar (p>0.05) between the diabetic and control group. According to the survey, 1.6% of diabetic cases and 6.1% of the control group had clinically significant sleep disturbances (p>0.05). Duration of diabetes (DD) was lower (p=0.01), and the level of HbA1C was higher (p=0.02) in the high-score group than the others. Regression analysis revealed that TIR was the only independent determinant for the SDSC score (β=-1.27, t=-1.90; p=0.012). Sleep habits and problems should be routinely evaluated in diabetic children and adolescents.

0014 Sleep Desert = More Dessert? Circadian Misalignment Predicts Greater Sugar Consumption in Adolescents

Abstract Introduction As adolescent sleep duration and quality is declining, obesity rates are also increasing. Previous studies suggest a connection between sleep behaviors and obesity, with sleep’s relationship with dietary intake emerging as a primary mechanism. Circadian misalignment may be particularly important to consider in this context due to its previously observed effects on reward processing and snack selection. This study examined the relationship between circadian misalignment and dietary intake among adolescents. Methods Fifty healthy adolescents (14-18, 58% female, 94% white) participated in an 11-day procedure. On day one, participants’ height, weight, and Body Mass Index (BMI) were measured. For the next ten days, participants maintained a sleep diary and completed three 24-hour dietary recalls on randomized days. On the eleventh day, participants came to the lab for a six-hour appointment in a dim-light room (lux &amp;lt; 5). Every 30 minutes, participants provided saliva samples to measure dim-light melatonin onset (DLMO). To measure circadian misalignment, the timing of melatonin onset was subtracted from average bedtime noted in the sleep diaries; lower values suggest greater misalignment. Results We conducted multiple regression analyses to examine circadian misalignment as a predictor of average kcal, protein, fat, and sugar consumption. We hypothesized that circadian misalignment would be a positive predictor of greater kcal, fat, and sugar intake but a negative predictor of less protein intake. However, circadian phase did not significantly predict average kcal (F(1, 42) = 1.37, p = .25, R2 = .03, β = -.18, b = -102.86), fat F(1,42) =.001, p=.97, R2=.00, β=-.01, b=-.17), or protein (F(1,42) =.59, p=.45, R2=.01, β=-.12, b=-2.75) consumption. Circadian misalignment did significantly predict average sugar intake, with greater misalignment predicting less sugar intake F(1,42) =4.27, p=.04, R 2 =.09, β=-.30, b=-13.77. Conclusion Although adolescents’ circadian misalignment does not predict kcal, protein, or fat consumption, it does predict sugar consumption. Adolescents whose sleep is not aligned with their intrinsic circadian rhythm may be at greater risk for consuming more sugar, which may ultimately increase obesity risk. These findings add to the literature on the potential relationship between sleep and obesity as moderated by dietary intake. Support (if any)

Self-reported quantity and quality of sleep in children and adolescents with a chronic condition compared to healthy controls

To assess self-reported quantity and quality of sleep in Dutch children with a chronic condition compared to healthy controls and to the recommended hours of sleep for youth. Sleep quantity and quality were analyzed in children with a chronic condition (cystic fibrosis, chronic kidney disease, congenital heart disease, (auto-)immune disease, and medically unexplained symptoms (MUS); n = 291; 15 ± 3.1 years, 63% female. A subset of 171 children with a chronic condition were matched to healthy controls using Propensity Score matching, based on age and sex, ratio 1:4. Self-reported sleep quantity and quality were assessed with established questionnaires. Children with MUS were analyzed separately to distinguish between chronic conditions with and without an identified pathophysiological cause. Generally, children with a chronic condition met the recommended amount of sleep, however 22% reported poor sleep quality. No significant differences in sleep quantity and quality were found between the diagnosis groups. Children with a chronic condition and with MUS slept significantly more than healthy controls at ages 13, 15, and 16. Both at primary and secondary school, poor sleep quality was least frequent reported in children with a chronic condition and most often reported in children with MUS. Conclusion: Overall, children with chronic conditions, including MUS, met the recommended hours of sleep for youth, and slept more than healthy controls. However, it is important to obtain a better understanding of why a substantial subset of children with chronic conditions, mostly children with MUS, still perceived their sleep quality as poor.What is Known:• According to the Consensus statement of the American Academy of Sleep medicine, typically developing children (6 to 12 years) should sleep 9 to 12 h per night, and adolescents (13 to 18 years) should sleep 8 to 10 h per night.• Literature on the optimal quantity and quality of sleep in children with a chronic condition is very limited.What is New:Our findings are important and provide novel insights:• In general, children with a chronic condition sleep according to the recommended hours of sleep.• A substantial subset of children with chronic conditions, perceived their sleep quality as poor. Although this was reported mostly by children with medically unexplained symptoms (MUS), the found poor sleep quality was independent of specific diagnosis.

Sleep hygiene and sleep quality in Iranian adolescents during the COVID-19 pandemic

ObjectivesSleep is one of the issues that attracted the attention of researchers during the COVID-19 pandemic. Researchers focused their studies on the prevalence of sleep disorders, sleep quality, and sleep duration. Sleep hygiene is a set of guidelines that play an important role in the sleep quality, the present study sought to evaluate the amount of sleep hygiene and sleep quality in Iranian adolescents and their relationship during the COVID-19 pandemic.MethodsThe present study was conducted using a cross-sectional design. The research population consisted of all adolescents living in Kermanshah (western Iran) in 2021. The participants were a sample of 610 adolescents. They completed the Pittsburgh Sleep Quality Inventory and Adolescent Sleep Hygiene Scale.ResultsThe mean sleep quality score for the participants was 7.14 ± 2.47, indicating the high frequency of sleep problems affecting the participants. There were significant correlations between all components of sleep hygiene and sleep quality. There was also a significant correlation (r = − 0.46 between sleep hygiene and sleep quality (p < 0.001). No significant difference was observed in sleep hygiene and sleep quality between the male and female adolescents. The results showed that sleep hygiene subscales can predict sleep quality (R = 0.53, F = 39.20, p < .01).ConclusionsThe data in this study confirmed the poor observance of sleep hygiene in adolescents during the COVID-19 pandemic and reported frequent sleep problems among the participants. The results also indicated a moderate relationship between sleep hygiene and sleep quality in adolescents. Thus, sleep hygiene components can be related to sleep quality.

The Influence of Smartphones on Adolescent Sleep: A Systematic Literature Review

(1) Background: Sleep is considered to be a complex condition for human beings, with the aim of ensuring physical and psychological recovery. Technology, including the cell phone, is a tool for teenagers that ensures they are always available to interact, even at night. This study aims to understand the influence of the use of smartphones on adolescent sleep quality. (2) Methods: The guidelines proposed by the Joanna Briggs Institute were followed. The search was conducted in October 2022 through the EBSCOhost platform, with access to the CINAHL Complete and Medline databases and through the b-On database. (3) Results: The use of electronic equipment plays an important role in adolescents' lives. There is a negative relationship between the use of electronic equipment, such as smartphones, and sleep, for reducing both the quality and quantity of sleep. There is also a relationship between nighttime smartphone use, insufficient sleep, and mental health problems. (4) Conclusions: The use of new technologies at night causes a change in the behavior of adolescents with repercussions in terms of the quality of sleep and sleep duration and consequent well-being and performance during the day.

Impact of 6 months’ Use of Intermittently Scanned Continuous Glucose Monitoring on Habitual Sleep Patterns and Sleep Quality in Adolescents and Young Adults with Type 1 Diabetes and High-Risk HbA1c

Background. The bidirectional relationship between sleep and blood glucose levels may particularly affect adolescents and young adults (AYA), who are more likely to experience less healthy glycemic outcomes and more disrupted sleep patterns. To date, few data exist describing the impact of intermittently scanned continuous glucose monitoring (isCGM) on habitual sleep patterns and sleep quality in AYA with type 1 diabetes (T1D). Objective. To evaluate the impact of 6-month use of isCGM on habitual sleep and wake timing, sleep duration, frequency, and duration of night-time awakenings, sleep efficiency, and perceived sleep quality in young people with T1D and HbA1c ≥ 75 mmol/mol. Participants. The study recruited 64 participants aged 13–20 years (mean 16.6 ± 2.1), 48% female, diabetes duration 7.5 ± 3.8 years, 41% Māori or Pasifika, and a mean HbA1c 96.0 ± 18.0 mmol/mol [10.9 ± 3.8%]; 33 were allocated to an isCGM plus self-monitoring blood glucose [SMBG] intervention, and 31 were allocated to the SMBG control group. Methods. Participants completed 7-day actigraphy measures and the Pittsburgh Sleep Quality Index questionnaire at the baseline and at 6 months. Regression analyses were used to model between-group comparisons, adjusted for baseline sleep measures. Results. At 6 months, subjective measures for overall sleep quality, latency, duration, efficiency, night-time disturbances, use of sleep medications, and daytime dysfunction were similar between the groups. Regression analyses of actigraphy found no significant differences in objectively measured sleep timing and duration across the week after adjusting for age, the period of the school year, and baseline sleep values. Conclusions. The use of first-generation isCGM in addition to finger-prick testing did not impact objective or subjective sleep measures in AYA with T1D, elevated HbA1c, and highly variable sleep patterns. Research using alternative interventions for improving glycemic outcomes and habitual sleep-wake timing, duration, and perceived sleep quality is warranted in this population group.

The relationship of smoking habits to sleep quality and the risk of hypertension in adolescents in Banjar Adat Pande, Bangli district

Background: Adolescence is a period of transition and search for identity, which makes adolescents often follow trends that affect society and the environment. One of the adolescent behaviors caused by environmental exposure is smoking. Repeated smoking behavior will become a habit that can affect sleep quality and the risk of hypertension. This study aimed to determine the relationship between smoking habits and sleep quality with the risk of hypertension in adolescents.&#x0D; Methods: This study used a cross-sectional study design. The sample is determined by purposive sampling. The number of study participants was 52 adolescents. Smoking habits were measured using the Brinkman Index questionnaire, a Sphygmomanometer to measure blood pressure, and the Pittsburgh Quality Index Questionnaire (PSQI) to measure adolescent sleep quality. Computer software analyzed data using a chi-square test to determine the relationship between smoking habits to sleep quality and the risk of hypertension in adolescents.&#x0D; Results: The chi-square test of smoking habits and adolescent sleep quality was shown with a p-value of 0.008. The chi-square test results of smoking habits with risk of hypertension in adolescents were indicated by a p-value of &lt;0.001.&#x0D; Conclusion: There was a significant positive relationship between smoking habits to sleep quality and the risk of hypertension in adolescents.

Adolescent Sleep Quality in Palangka Raya City

Abstract : Sleep quality is the individual's ability to stay asleep, not just the amount or duration of sleep. Sleep quality shows the individual's ability to sleep and get the amount of rest that suits his needs. The quality of a person's sleep can be influenced by environmental, physical, activity, and lifestyle conditions. This study aims to determine the factors that can affect the quality of sleep in adolescents in the city of Palangka Raya. Methods Cross-sectional research with a cross sectional design. The number of samples was 98 students of class XI at two public high schools in Palangka Raya City, the sample was taken using proportiona (PSQI ),te stratified random sampling. Adolescent sleep quality was measured using The Pittsburgh Sleep Quality Index questionnaire. Data were analyzed through Chi Square test. The results showed that female adolescent students were more dominant in having poor sleep quality as much as 59.2%. Adolescents' poor sleep quality due to an uncomfortable environment was 82.7% (p value 0.773), poor sleep quality in students who did not do physical exercise/not tired as much as 84.9% (p value 0.34). Students with light activities had poor sleep quality as much as 84.9% (p value 0.346). Students with light activity have poor sleep quality as much as 82.4% (p value 0.720). Students who have bad sleep habits before bedtime are 80.9% (p value 0.848). Factors that affect the quality of sleep for adolescents in the city of Palangka Raya are physical exercise and fatigue

200. The Effect of Passive Music Intervention on the Sleep Quality of Adolescents with Chronic Health Conditions Admitted at the East Avenue Medical Center

200. The Effect of Passive Music Intervention on the Sleep Quality of Adolescents with Chronic Health Conditions Admitted at the East Avenue Medical Center

Does parental phubbing aggravates adolescent sleep quality problems?

Based on the theoretical model for the "stress-sleep" relationship, this study investigated the impact of parental phubbing on adolescent sleep quality problems and a moderated mediation mechanism. A total of 781 adolescents was surveyed using the Chinese version of Parental Phubbing Scale, the Ultra-brief Screening Scale for Depression and Anxiety Scale, the Self-Control Questionnaire for Chinese children, and the Chinese version of Pittsburgh Sleep Quality Index Scale. Parental phubbing and negative emotions were significantly and positively correlated to sleep quality problems, but self-control was not correlated to sleep quality problems. Parental phubbing directly influenced sleep quality problems and also indirectly influenced sleep quality problems through the mediating effect of negative emotions. Moreover, self-control played a moderating role in the path of parental phubbing affecting negative emotions. That is, the effect was more significant for adolescents low in self-control relative to those high in self-control. Parental phubbing is a risk factor for adolescent sleep quality problems. This study is the first to demonstrate empirical evidence for the relationship between parental phubbing and sleep quality problems.

Smartphone Addiction and Sleep Quality in Adolescents

Objective: To determine the frequency of smartphone addiction and poor sleep in high school adolescents and to evaluate the relationship between phone addiction and sleep, together with demographic characteristics.&#x0D; Methods: A face-to-face survey was applied to 730 high school students in the Kahta district of Adıyaman, Turkey, between November 2021 and January 2022. The Smartphone Addiction Inventory-Short Form (SPAI-SF) was used to assess smartphone addiction, and the Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality.&#x0D; Results: The rate of smartphone addiction in adolescents was 41%, and poor sleep quality was 61%. When smartphone addiction increases, sleep quality decreases, and when sleep quality decreases smartphone addiction increases. Smartphone addiction and poor sleep quality were higher in girls compared to boys. As the parents’ education level and family income increase, the level of addiction increases, but sleep quality remain the same. We found that as age increases, the risk of smartphone addiction and the risk of deterioration in sleep quality increase.&#x0D; Conclusion: Smartphone addiction and poor sleep quality trigger each other in a vicious circle. The COVID-19 pandemic may have made smartphone addiction the most common addiction in the world. This addiction can increase the risk of substance addiction by impairing the quality of sleep in adolescents and lead to many physical, social, and mental problems. A multidisciplinary approach is vital for solving the problem.

Sleep tight! Adolescent sleep quality across three distinct sleep ecologies.

Good sleep quality, associated with few arousals, no daytime sleepiness and self-satisfaction with one's sleep, is pivotal for adolescent growth, maturation, cognition and overall health. This article aims to identify what ecological factors impact adolescent sleep quality across three distinct sleep ecologies representing a gradient of dense urbanity to small, rural environments with scarce artificial lighting and no Internet. We analyze variation of sleep efficiency, a quantitative measure of sleep quality-defined as the ratio of total time spent asleep to total time dedicated to sleep-in two agricultural indigenous populations and one post-industrial group in Mexico (Campeche = 44, Puebla = 51, Mexico City = 50, respectively). Data collection included actigraphy, sleep diaries, questionnaires, interviews and ethnographic observations. We fit linear models to examine sleep efficiency variation within and between groups. We found that sleep efficiency varied significantly across sites, being highest in Mexico City (88%) and lowest in Campeche (75%). We found that variation in sleep efficiency was significantly associated with nightly exposure to light and social sleep practices. Our findings point toward contextual cost-benefits of sleep disruption in adolescence. We highlight the need to prioritize research on adolescent sleep quality across distinct developmental ecologies and its impact on health to improve adolescent wellbeing through evidence-based health practices.

SLEEP QUALITY ASSESSMENT IN ADOLESCENTS WITH TYPE 1 DIABETES MELLITUS

Background and Aims: Diabetes has been reported to be a risk factor for sleep disturbances in adolescent age groups. Although the impact of type1 diabetes mellitus (T1DM) on sleep patterns of children is well recognized, data about its prevalence is scant. This study aims to determine the quality of sleep among adolescents with T1DM and factors inuencing it. Methods: This is a cross-sectional study collected data from 30 adolescent diagnosed with T1DM at least 6 months earlier. They presented to Paediatric endocrine OPD from May 2021 to May 2022. Subjects were asked to complete the Pittsburgh Sleep Quality Index (PSQI) 19-item self-report questionnaire. Children with T1DM being under treatment for sleep disorder were excluded. The combined score of the 7 components (subjective sleep quality, sleep latency, sleep duration, habitual sleep efciency, sleep disturbances, use of sleeping medication, and daytime dysfunction) was used for analysis and the score ranged from 0 to 21. Atotal score &gt;5 was considered as “poor sleep quality”. The quality of sleep was correlated with drug, dietary compliance and metabolic control. p-value &lt;0.05 was considered signicant. Results: The mean age of study population was 14.3±1.7 years. 18 were boys and 12 were girls. Total 8 patients showed poor sleep quality (PQSI score &gt;5). No signicant relationship was found between sleep quality, duration of diabetes and HbA1c levels in the diabetes group (P= 0.59, P= 0.41, respectively). The total sleep time of boys (8.4 ± 1.2 h) was longer than girls (7.6 ± 1.7 h), but the overall total sleep time per night did not differ signicantly between boys and girls (P= 0.053). Conclusion: The present study shows that diabetes control may affect sleep quality in adolescents. Optimal diabetes management can positively affect sleep patterns in these adolescents. Further larger studies are needed to validate our results

Effects of Sleep on Adolescents' Appetite, Dietary Intake, and Weight.

Several factors have been associated with excess weight gain in adolescents, including loss of sleep. The purpose of this study is to examine the effects of sleep factors on appetite, dietary intake, and the body weights of adolescent youth. A prospective correlational study design was used. Male and female adolescents (N = 76) ages 12-18 years completed a 5-night study. Sleep was assessed using Fitbits (88.5% accuracy) and the Pittsburgh Sleep Quality Index (PSQI) (test-retest reliability = .81); appetite was assessed by a Visual Analog Scale (α = 0.84); dietary intake was assessed by the Block Kids Food Screener (reliability up to .88); sleep hygiene was assessed using the Adolescent Sleep Hygiene Practice Scale (α = .67). Poor sleep quality was reported by 39.5% of participants, and 75% of participants had inadequate sleep time (7.33 h). Participants' age significantly correlated with PSQI scores (r = .28, p < .05) and BMI (r = .37, p < .01). Participants' PSQI scores significantly correlated with sleep hygiene (r = .45, p = .05) and appetite (r = .3 3, p < .01). Sleep latency significantly correlated with sleep hygiene (r = .32, p < .05). Several sleep hygiene factors correlated significantly with the participants' sleep quality, quantity and latency scores and dietary intakes. These findings suggest that changes in sleep hygiene practices may improve adolescent sleep quality and quantity as well as appetite and dietary intake.