To explore the relationship between Physical Fitness Index and sleep quality in adolescents and to provide a theoretical basis for improving adolescent sleep quality. A total of 5018 adolescents aged 13-18years were selected by whole group stratified random sampling method from September to December 2024 in Changzhi, Taizhou, Jishou, Nanchang, Suzhou, Xianyang, and Yulin, China, for the physical fitness test and sleep quality survey. The correlation coefficients between Physical Fitness Index and sleep quality were analyzed using Pearson's correlation, and the effects of Physical Fitness Index on sleep quality were analyzed using linear regression. The total Pittsburgh Sleep Quality Index score was 5.07 ± 3.03 for male adolescents and 5.79 ± 2.95 for female adolescents, with male adolescents significantly better than females (t = -8.61, p < 0.01). The mean value of Physical Fitness Index was -0.70 ± 3.89 for adolescents with poor sleep quality and 0.02 ± 3.70 for adolescents with good sleep quality in the junior high school level, which was statistically different between the two groups (t = -4.058, p < 0.01). Physical Fitness Index was negatively correlated with sleep quality index (r = -0.062, p < 0.01) and Physical Fitness Index significantly predicted sleep quality (β = -0.04, p < 0.01). There was a significant negative correlation between the Physical Fitness Index and the Pittsburgh Sleep Quality Index in Chinese adolescents.

Relationship between commuting to school and sleep disturbance in Japanese adolescents: a 2-year cohort study.

Aims: This study aimed to evaluate sleep quality in adolescents diagnosed with hypertension and to compare the results with those of normotensive healthy adolescents of the same age group. Methods: Designed as an observational case-control study, this research included 160 adolescents between the ages of 13-18, with 80 patients and 80 healthy controls, between February and August 2023. Data were collected through face-to-face interviews using a clinical and sociodemographic data form, and sleep quality was assessed with the Pittsburgh Sleep Quality Index (PSQI), which has been validated in Turkish. A significance level of p≤0.05 was accepted in the evaluation of data and tests. Results: Among the 160 participants, 35% (n=56) were female and 65% (n=104) were male. The mean PSQI total score was 6.225 (±1.090) in the case group and 4.287 (±1.264) in the control group. The mean daily sleep duration was 7.42 (±0.595) hours in the case group and 7.61 (±0.539) hours in the control group. Similarly, 72.5% (n=58) of the case group and 15% (n=12) of the control group had a PSQI total score above 5 (poor sleep quality). Sleep quality was lower in the case group. Good sleep quality (PSQI≤5) was observed in 27.5% (n=22) of the hypertensive adolescents, while 85% (n=68) of the controls had good sleep quality. Conclusion: It has been observed that adolescents diagnosed with hypertension have higher overall PSQI and component scores, thus hypertension is associated with poor sleep quality.

Prior research has demonstrated that social ostracism not only leads to social withdrawal but also impairs sleep. Good sleep is essential for cognitive function, mental health, and adolescent development. The study utilizes a longitudinal design to explore the bidirectional relationship between social ostracism and sleep quality among junior high school students. Three waves of data were collected at 2-month intervals. The random intercept cross-lagged panel model (RI-CLPM) was used to distinguish the impacts of two forms of social ostracism, neglect and rejection, on sleep quality at both the between-individual and within-individual levels. Moreover, the potential mediating role of social media disorder and anxiety was also investigated. At the between-individual level, neglect exhibited a significant negative correlation with sleep quality and a positive correlation with anxiety. Both social media disorder and anxiety were negatively correlated with sleep quality. However, these patterns were not observed for rejection. At the within-individuals level, social media disorder at T2 significantly mediated the longitudinal relationship between neglect in T1 and sleep quality in T3. These findings highlight a type of exclusion-dependent impairment of social ostracism the distinct impact of neglect, but not rejection, on sleep quality and underscore the mediating role of social media usage function as a buffer agent disorder. This study demonstrated the long-term effects of social ostracism on sleep, positioning it as a critical and persistent impact of social ostracism on sleep quality, which further demonstrated that social ostracism is an important risk factor affecting sleep quality for adolescent sleep health.

Bullying victimization and sleep quality in adolescents: a chain mediation model

Consequences of Screen Time on Sleep Quality in Children and Adolescents: A Scoping Review.

Adolescents’ increasing screen time has been linked to poor sleep quality, which may, in turn, affect their academic performance. This study aimed to examine screen time patterns among Jordanian adolescents and assess their associations with sleep quality and academic achievement. A descriptive correlational study was conducted among 477 students aged 12–14 years from four randomly selected schools in northern Jordan. Participants completed the validated Questionnaire for Screen Time of Adolescents (QueST) and the Adolescent Sleep–Wake Scale–Short Version (ASWS-S), while academic performance was assessed using GPA from school records. Results showed that average screen time was 9.13 h per day. Weekend screen time emerged as a significant negative predictor of sleep quality (β = –0.27, p = 0.016). Gender and school type were also significant predictors. Adolescents with screen devices in their bedrooms and those with chronic medical conditions reported higher screen time. Although total screen time did not significantly predict academic achievement, it showed a moderate negative correlation with sleep quality (r = –0.18, p &lt; 0.01). These findings suggest that excessive screen use, particularly on weekends, may impair sleep quality among adolescents. Interventions targeting screen habits could help enhance sleep and potentially benefit academic performance.

Background:The escalating prevalence of mental health issues and sleep disturbances among Chinese adolescents has become a pressing public health concern. Despite increasing recognition of this issue, there remains a paucity of research elucidating the intricate interplay between anxiety symptoms and sleep patterns. To address this critical gap, this study employs advanced network analysis to explore the complex relationships between these two domains, offering novel insights into their interconnectedness.Methods:We conducted a large-scale, online, cross-sectional survey encompassing 48,074 adolescents. Anxiety symptoms were assessed using the Generalised Anxiety Disorder Scale-7 (GAD-7), while sleep quality was evaluated via the Pittsburgh Sleep Quality Index (PSQI). Daytime sleepiness and fatigue symptoms were measured using the Chinese Adolescent Daytime Sleepiness Scale and the Fatigue Symptom Scale (FSS). Demographic data were analysed using chi-square tests, and continuous variables were examined via t-tests. To investigate symptom-level relationships, we employed network and mediation effect analysis, providing a robust methodological framework.Results:Our findings reveal a concerning prevalence of anxiety and insomnia symptoms among adolescents, at rates of 32.1% and 39.9%, respectively. Adolescents exhibiting anxiety symptoms reported significantly higher levels of insomnia, fatigue, and daytime sleepiness. Mediation effect analysis uncovered a chain mediation pathway, whereby insomnia and fatigue symptoms sequentially mediated the relationship between anxiety and daytime sleepiness. Network analysis further identified GAD2 (uncontrollable worry) and PSQI7 (daytime function) as pivotal core symptoms, with FSS (fatigue symptoms) demonstrating the highest expected impact within the network.Conclusions:This study underscores the persistent severity of anxiety and sleep pattern disturbances among adolescents. These findings highlight the importance of addressing core symptoms—particularly GAD2 and PSQI7—in therapeutic interventions. The results provide a solid foundation for developing more effective, symptom-specific strategies to improve adolescent mental health and sleep quality.

Association between sleep and awake bruxism with sleep quality and duration in children and adolescents: A systematic review and meta-analysis.

Effectiveness of sleep hygiene measures on sleep quality of adolescents with mental health disorders.

Abstract Background Adolescent sleep health is a growing public health concern, with poor sleep linked to adverse mental and physical health. Early school start times often conflict with adolescents’ naturally delayed sleep rhythms during puberty, contributing to poor sleep quality. While international evidence suggests that later school start times improve sleep outcomes, this relationship is underexplored in Flanders. This study examines the association between school start time and adolescent sleep quality in Flemish secondary schools. Methods Data were drawn from the 2022 Flemish Health Behaviour in School-aged Children (HBSC) survey, including 16,253 adolescents (mean age = 15.46, SD = 1.85) from 103 secondary schools. Sleep quality was assessed using the Groningen Sleep Quality Scale (α = .90), with five items on poor sleep, difficulty falling asleep, insufficient sleep, disturbed sleep and morning fatigue. Participants rated the frequency of these issues (never = 1 to always = 5) and a total score was calculated. School start time data (hours and minutes) were collected. Linear regression analyses assessed the association between school start time and sleep quality. Analyses were controlled for covariates selected based on Directed Acyclic Graphs. Results Later school start times were associated with better sleep quality. Specifically, each additional minute of delay in school start time was associated with a decrease of 0.022 in the sleep quality score (β = -0.022, p &amp;lt; .001), suggesting a modest improvement in sleep quality with later school start times. Conclusions These findings suggest that later school start times are linked to higher sleep quality among adolescents in Flanders. Aligning school schedules with adolescents’ natural sleep rhythms could serve as an effective public health intervention to mitigate poor sleep and its related consequences. Key messages • Later school start times are linked to improved sleep quality in adolescents. • Delaying school start times to align with adolescents’ natural sleep rhythms can improve sleep health, offering a promising direction for public health policy.

PurposeThe purpose of this study was to investigate the relationship between glymphatic function and sleep quality in adolescents with Major Depressive Disorder (MDD). Previous research has linked glymphatic dysfunction to MDD in adults, often associated with sleep disturbances, but the relationship between these factors in adolescents remains unclear.Patients and MethodsThis study utilized Diffusion Tensor Imaging analysis along the perivascular space (DTI-ALPS) to assess glymphatic system function and the Pittsburgh Sleep Quality Index (PSQI) to evaluate sleep quality in adolescents. A total of 138 participants were included: 80 first-episode and medication-naive patients with MDD (total 80: 9 with mild MDD, 28 with moderate MDD, 43 with severe MDD), and 58 healthy controls. Pearson correlation analysis was performed to examine the relationship between sleep quality and glymphatic function.ResultsThe results showed adolescents with MDD demonstrated poor sleep quality, whereas healthy controls exhibited normal sleep quality. However, no significant impairment in glymphatic function was observed. Furthermore, no clear correlation was found between sleep quality and glymphatic function in the adolescent MDD group.ConclusionThis study provides novel insights into the neurobiological mechanisms of adolescent MDD, suggesting that the glymphatic system may not contribute to its pathogenesis in the same way as in adults. However, this cross-sectional study, with its small sample size and single-center design, limits the generalizability of the findings. Future research should adopt longitudinal, multicenter, and larger-scale designs to further investigate these relationships in more depth.

&lt;p&gt;&lt;strong&gt;Background:&lt;/strong&gt; Teenagers use the internet for their daily needs such as attending online classes, watching entertainment (such as YouTube or playing games) or even playing social media. The purpose of this study was to determine the relationship between cyberbullying incidents and sleep quality with internet addiction in adolescents.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Research Methods:&lt;/strong&gt; This study used an observational analytical method using the PSQI, KDAI, and cyberbullying questionnaires. 276 adolescent respondents who were willing to fill out the questionnaire distributed via G-form were obtained. This study was analyzed with SPSS 26.0.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results&lt;/strong&gt; :The univariate results showed that 75 (27.2%) adolescents were addicted to the internet, 82 (29.7%) adolescents had been victims/perpetrators of cyberbullying, respondents experienced overall sleep quality, 90 students (32.6%) had good sleep quality and 186 students (67.4%) had poor sleep quality. The results of the bivariate analysis of this study found a significant relationship between internet-addicted teenagers and cyberbullying perpetrators (p = 0.000). A significant relationship was found between cyberbullying victims and internet addiction (p = 0.028). There was a significant relationship between subjective sleep quality (p = 0.000), sleep latency (p = 0.022), and sleep disturbance (p = 0.032) with internet addiction (p &amp;lt;0.05). The results of the Chi-Square statistical test obtained a value of 0.031, there was also a significant relationship between overall sleep quality and internet addiction. Using logistic regression, it can be seen that the independent variables that have a sig. &amp;lt;0.05 are the cyberbullying perpetrator variables and subjective sleep quality, so it can be said that both independent variables have a significant effect on internet addiction.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusion:&lt;/strong&gt; Significant relationship between subjective sleep quality and cyberbullying perpetrators on teenagers who tend to be addicted to the internet.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Introduction: &lt;/strong&gt;Sleep disorders in adolescents vary, but some studies suggest quite a high number. Around 39% of teenagers reported experiencing insomnia or difficulty sleeping. sleep. Another study stated that up to 73.4% of adolescents experience sleep disorders. &lt;strong&gt;Aim: &lt;/strong&gt;evaluating the effects of progressive muscle relaxation training (PMRE) applied to patients in improving sleep quality in adolescents&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Method&lt;/strong&gt;: The design of this research is&lt;em&gt;Pre-Eksperiment Intack Group Comparison. &lt;/em&gt;In this study there is one group but divided into two, namely half the group for the experiment (treated) and half for the control group. The sampling technique in this study was carried out by adolescents. Determination of the sample in this study was by purposive random sampling technique, which amounted to 20 people, namely 10 experimental people and 10 control people in adolescents who experience insomnia who have met the inclusion criteria and exclusion criteria. Sample criteria Inclusion criteria: adolescents aged 11-13 years, have complaints of insomnia, do not receive pharmacological therapy, do not experience significant psychological trauma, depression, withdraw, Not consuming alcohol.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Findings: &lt;/strong&gt;The average level of difficulty sleeping in female adolescents in the control group was (2.60), meaning the level of difficulty sleeping was mild (95% CI: 1.37-2.43), with a standard deviation of 0.516.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusion and recommendation: &lt;/strong&gt;&lt;/p&gt;&lt;p&gt;In line with these findings, it has been determinedthat PMRE improves sleep quality in adolescents. It is recommended that education about PMRE be provided and that the exercises be taught.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Keywords: &lt;/strong&gt;sleep quality, progressive muscle relaxation exercises, adolescents&lt;/p&gt;

Exploring the Association Between Sleep Quality and Menstrual Abnormalities in Adolescents.

Objectives The study aimed to investigate the relationship between physical activity, lifestyle behaviours, and sleep quality in adolescents, a group more likely to develop risky behaviours compared to other populations. Material and Methods This cross-sectional survey-based study was conducted among adolescents (ages 10-19) residing in Istanbul. The International Physical Activity Questionnaire Short Form (IPAQ-SF), Adolescent Lifestyle Profile (ALP), and Pittsburgh Sleep Quality Index (PSQI) were utilized to investigate the relationships between the study’s outcome measures. The statistical analysis was performed using SPSS version 26.0. Depending on the distribution properties of the data, the Pearson/Spearman correlation coefficient, independent sample t-test, or Mann-Whitney U test was used, along with one-way ANOVA or Kruskal-Wallis test, with p &lt; 0.05 considered statistically significant. Results Fifty-one girls and thirty-three boys were enrolled and completed the study. The IPAQ-SF, ALP global, and PSQI global scores were 2439.80 ± 1751.55, 123.69 ± 12.36, and 4.43 ± 2.53, respectively. No significant correlation was observed between the IPAQ-SF and PSQI global (r = -0.61, p = 0.581). A significant negative correlation was found between PSQI and ALP global (r = -0.366, p &lt; 0.001). Girls exhibited better healthy lifestyle behaviours than boys (p = 0.041). Conclusion Many physiological, psychological, social, and environmental factors affect physical activity, lifestyle behaviours, and sleep quality in adolescents. Carefully examining these factors may help develop new strategies and approaches to promote physical activity, healthy lifestyle behaviours, and sleep quality among adolescents.

Background: The nutritional condition of adolescents is a crucial element of their general health and development, shaped by several factors, including physical activity and sleep quality. Nutritional challenges in East Nusa Tenggara (NTT) encompass both under-nutrition and over-nutrition among adolescents. According to Riskesdas data from 2018, the prevalence of malnutrition among adolescents in NTT was 25.7% for those aged 13-15 years and 26.9% for those aged 16-18 years, while the obesity rate was 16% for adolescents aged 13-15 years. This issue is further intensified by insufficient physical exercise and poor sleep. Despite the existence of several interventions targeting dietary behaviors, the correlation between these elements and nutritional health remains underexplored, particularly in NTT. Objectives: This study aimed to examine the correlation between physical activity, sleep quality, and nutritional status in teenagers aged 15 to 18 years at SMK Negeri 3 Kupang, East Nusa Tenggara. This study sought to determine the primary determinants factors affecting the nutritional status of teenagers, particularly in regions experiencing intricate dietary challenges such as NTT. Methods: This research used a cross-sectional study design, conducted in April 2024 at SMK Negeri 3 Kupang. A total of 221 students were selected using the probability sampling technique. Physical activity was categorized into mild, moderate, and vigorous activities, assessed by the Physical Activity Level (PAL) questionnaire. Sleep quality was assessed via the Pittsburgh Sleep Quality Index (PSQI), while nutritional status was determined by body mass index (BMI). The correlation test was carried out using Goodman and Kruskal gamma and strengthened by the Chi-square test to compare the distribution of nutritional status in various categories of physical activity and sleep quality. Results: This study showed no significant correlation between physical activity, sleep quality, and nutritional status, with a p-value greater than 0.05. Despite variations in exercise levels and sleep quality among groups with differing nutritional statuses, the correlation between these characteristics and nutritional status was not statistically significant. Conclusion: Physical activity and sleep quality alone are sufficient to determine adolescent nutritional health. A more holistic approach that incorporates additional aspects such as nutrition, socioeconomic status, and other characteristics, is required. Effective therapies should focus on enhancing dietary behaviors, augmenting physical activity, managing stress, and fostering improved sleep patterns to elevate adolescent nutritional status.

This study aims to comprehensively discuss the effect of non-pharmacological therapy on sleep disorders in adolescents, to improve sleep quality in this population. The method used in this study is a scoping review. Article searches were carried out systematically by the 2020 PRISMA Flow guidelines, with the databases used in the article search, namely Google Scholar, Science Direct, and PubMed. The articles obtained were sorted based on inclusion and exclusion criteria. The results of the study show that 10 articles were worthy of being reviewed regarding non-pharmacological interventions that can overcome sleep disorders, so that adolescent sleep quality can be improved. The conclusion is that several non-pharmacological therapies can improve sleep quality in adolescents, including exercise, relaxation, the use of herbs, and sleep hygiene. Keywords: Adolescents, Sleep Disorders, Sleep Quality

Evidence suggests a potential association between alcohol consumption and sleep quality. However, knowledge of this association among adolescents in China is limited. Thus, this study aims to investigate the association between alcohol consumption and sleep quality in a group of adolescents in China. A cross-sectional survey was conducted in Shenzhen, Guangdong Province in China from October 2021 to December 2021. Alcohol consumption refers to drinking more than half a bottle/a can of beer, a small cup of white wine/foreign wine and a glass of wine/rice wine/fruit wine/highland wine at a time in the past year. Sleep quality was measured using the Pittsburgh Sleep Quality Index (PSQI) with a cutoff >5 indicating sleep disturbance. Multivariable logistic regression models were utilized to estimate the association. A total of 2,505 adolescents were included in the analysis. Among them, the mean age was 14.36 years (SD 1.74); 58.08% were male, and 41.92% were female. The overall drinking rate was 26.07%, and the median score of PSQI was 5. The interquartile distance of the PSQI global score was 4. Multivariable logistic regression illustrated that alcohol consumption exhibited positive significant associations with poor PSQI scores (OR = 1.89, 95% CI: 1.52-2.35) compared with good scores. Alcohol consumption is associated with poor sleep quality in adolescents in China accounting for socioeconomic contexts and psychosocial stressors. The findings underscore the public health urgency of addressing alcohol drinking behaviors to mitigate sleep disturbances in adolescents. Further studies need to be performed to explore the causality between alcohol consumption and sleep quality in adolescents. Frequency and dosage of alcohol consumption need to be considered to explore dose-response relationships.

Examining school climate and sleep in adolescents with and without ADHD.