Self-reported sleep patterns and quality amongst adolescents: cross-sectional and prospective associations with anxiety and depression

How do adolescents experience a newly developed Online Single Session Sleep Intervention? A Think-Aloud Study

BACKGROUND

Sleep problems are common in adolescents and have detrimental impacts on physical and mental health and daily functioning. Evidence-based treatment like cognitive behaviour therapy for insomnia (CBT-I) is often hard to access, and adolescents may not engage in and adhere to longer, clinician-delivered interventions. Brief, self-guided, and accessible sleep interventions are needed.

OBJECTIVE

To explore the user experience of a prototype online self-help single session sleep intervention developed for adolescents.

METHODS

Eleven participants aged 17-19 years (8 females, 3 males) took part in online retrospective think-aloud interviews. Participants first completed the prototype intervention independently and were then shown the intervention page by page and asked to verbalise their thoughts and experiences. Transcripts were analyzed thematically.

RESULTS

Participants found the intervention helpful. Four themes were generated - 'Educative: Learning, but more fun', 'Effortless: Quicker and Easier', 'Personalization: Power of Choice', and 'Positivity: Just Good Vibes'. The theme 'Educative: Learning, but more fun' encompassed two sub-themes 'Opportunity to Learn' and 'Aesthetics and Learning'. These themes reflected participants' views that the intervention was educative, personalised, solution-oriented and easy to use, but could incorporate more graphics and visuals to aid in learning and could be made more effortless and positive through modifications to its design.

CONCLUSIONS

Findings convey the importance of ensuring educative well-designed content, personalization, a positive tone, and ease of use while designing interventions targeting adolescents's sleep and mental health. They also indicate areas for further developing the intervention.

Predictive modelling of stress, anxiety and depression: A network analysis and machine learning study

OBJECTIVE

This study assessed predictors of stress, anxiety and depression during the COVID-19 pandemic using a large number of demographic, COVID-19 context and psychological variables.

METHODS

Data from 741 adults were drawn from the Boston College daily sleep and well-being survey. Baseline demographics, the long version of the daily surveys and the round one assessment of the survey were utilized for the present study. A Gaussian graphical model (GGM) was estimated as a feature selection technique on a subset of ordinal/continuous variables. An ensemble Random Forest (RF) machine learning algorithm was used for prediction.

RESULTS

GGM was found to be an efficient feature selection method and supported the findings derived from the RF machine learning model. Psychological variables were significant predictors of stress, anxiety and depression, while demographic and COVID-19-related factors had minimal predictive value. The outcome variables were mutually predictive of each other, and negative affect and subjective sleep quality were the common predictors of these outcomes of stress, anxiety, and depression.

CONCLUSION

The study identifies risk factors for adverse mental health outcomes during the pandemic and informs interventions to mitigate the impact on mental health.

Risk and Protective Factors of Self-harm and Suicidality in Adolescents: An Umbrella Review with Meta-Analysis

Suicide remains the second most common cause of death in young people aged 10-24 years and is a growing concern globally. The literature reports a vast number of factors that can predispose an adolescent to suicidality at an individual, relational, community, or societal level. There is limited high-level research identifying and understanding these risk and protective factors of adolescent suicidality. The present study used an umbrella review and meta-analysis to synthesize evidence from the review literature in the past 20 years on risk and protective factors of self-harm and suicidality (behavior and ideation) in adolescents. The umbrella review included 33 quantitative reviews with 1149 individual studies on suicidality and self-harm. Based on the data synthesis, it compared the public health impact of exposure on the population of the identified exposure. Bullying victimization was the most attributed environmental exposure for suicidality. The other identified significant school and individual factors were sleeping disturbance, school absenteeism, and exposure to antidepressants. Several significant vulnerable young populations were identified with significantly higher prevalence of suicidality, including lesbian, gay, bisexual, transgender, queer (or questioning) youth and those with mental health disorders, problem behaviors, previous suicidality, self-harm, and gender (female). A person-centered approach emphasizing connectedness and bully-free school environments should be a priority focus for schools, health professionals, and public health policymakers.

Adolescents' Suggestions on how to Support Their Sleep: A Focus Group Study

Sleeping difficulties among adolescents constitute a pressing public health issue, and it is of the utmost importance that these are approached from a health-promotion perspective. This study explores adolescents' suggestions on how their sleep could be supported. Data were collected via eight focus group interviews with 43 adolescents aged 15-16, in Sweden, and analyzed using qualitative content analysis. The results describe the adolescents' suggestions on how their sleep could be supported in three themes: being supported by involved parents- routines, engagement, and warmth are vital; being supported to achieve knowledge on the "whys" and "hows" of sleep-increased knowledge gives the ability to make well-grounded sleep choices; and being guided into finding balance-balance in life is difficult to achieve and adolescents desire support. Parents, school nurses, health professionals, and anyone who has the opportunity to improve and promote sleep should consider adolescents' suggestions.

Adolescents' trajectories of depression and anxiety symptoms prior to and during the COVID-19 pandemic and their association with healthy sleep patterns

The COVID-19 pandemic has seen a rise in anxiety and depression among adolescents. This study aimed to investigate the longitudinal associations between sleep and mental health among a large sample of Australian adolescents and examine whether healthy sleep patterns were protective of mental health in the context of the COVID-19 pandemic. We used three waves of longitudinal control group data from the Health4Life cluster-randomized trial (N = 2781, baseline Mage = 12.6, SD =  0.51; 47% boys and 1.4% 'prefer not to say'). Latent class growth analyses across the 2 years period identified four trajectories of depressive symptoms: low-stable (64.3%), average-increasing (19.2%), high-decreasing (7.1%), moderate-increasing (9.4%), and three anxiety symptom trajectories: low-stable (74.8%), average-increasing (11.6%), high-decreasing (13.6%). We compared the trajectories on sociodemographic and sleep characteristics. Adolescents in low-risk trajectories were more likely to be boys and to report shorter sleep latency and wake after sleep onset, longer sleep duration, less sleepiness, and earlier chronotype. Where mental health improved or worsened, sleep patterns changed in the same direction. The subgroups analyses uncovered two important findings: (1) the majority of adolescents in the sample maintained good mental health and sleep habits (low-stable trajectories), (2) adolescents with worsening mental health also reported worsening sleep patterns and vice versa in the improving mental health trajectories. These distinct patterns of sleep and mental health would not be seen using mean-centred statistical approaches.

Delivering a sleep intervention across a youth mental health service using non-expert practitioners: A service evaluation

AIMS

Poor sleep is highly prevalent in young people and increases risk of mental health difficulties, yet access to sleep interventions remains limited. This paper evaluates the use of a sleep intervention delivered by non-expert practitioners in a secondary care youth mental health service.

METHOD

Assistant psychologists were trained to deliver a six-session 1:1 cognitive-behavioural sleep intervention adapted for use with young people with mental health difficulties. A within-subject design assessed clinical outcomes relating to sleep (Insomnia Severity Index), psychological distress and personal goals (Goal Based Outcome Measures) at four time points.

RESULTS

High referral, intervention take-up (82.82%) and completion (70%) rates were reported, together with high baseline levels of insomnia (Insomnia Severity Index mean 20.47, SD 3.68) and poor sleep efficiency (56.36%, SD 17.23). Fifty-six young people (average age 19.2 years, SD 3.25) were included in the outcome analysis. Statistically and clinically significant improvements were seen across all outcome measures, with 68% no longer meeting clinical threshold (ISI ≥15) for insomnia at endpoint.

CONCLUSIONS

This study demonstrates exceptionally high levels of clinical need and engagement with a sleep intervention adapted specifically for young people with mental health difficulties. Whilst limited by the uncontrolled design, large improvements in insomnia and psychological distress support its effectiveness and utility in clinical settings. More robust implementation and evaluation is warranted in broader youth mental health services to promote earlier access.

Adolescent chronic sleep restriction promotes alcohol drinking in adulthood: evidence from epidemiological and preclinical data

Epidemiological investigations have indicated that insufficient sleep is prevalent among adolescents, posing a globally underestimated health risk. Sleep fragmentation and sleep loss during adolescence have been linked to concurrent emotional dysregulation and an increase in impulsive, risk-taking behaviors, including a higher likelihood of substance abuse. Among the most widely used substances, alcohol stands as the primary risk factor for deaths and disability among individuals aged 15-49 worldwide. While the association between sleep loss and alcohol consumption during adolescence is well documented, the extent to which prior exposure to sleep loss in adolescence contributes to heightened alcohol use later in adulthood remains less clearly delineated. Here, we analyzed longitudinal epidemiological data spanning 9 years, from adolescence to adulthood, including 5497 participants of the Avon Longitudinal Study of Parents And Children cohort. Sleep and alcohol measures collected from interviews and questionnaires at 15 and 24 years of age were analyzed with multivariable linear regression and a cross-lagged autoregressive path model. Additionally, we employed a controlled preclinical experimental setting to investigate the causal relationship underlying the associations found in the human study and to assess comorbid behavioral alterations. Preclinical data were collected by sleep restricting Marchigian Sardinian alcohol preferring rats (msP, n=40) during adolescence and measuring voluntary alcohol drinking concurrently and in adulthood. Polysomnography was used to validate the efficacy of the sleep restriction procedure. Behavioral tests were used to assess anxiety, risky behavior, and despair. In humans, after adjusting for covariates, we found a cross-sectional association between all sleep parameters and alcohol consumption at 15 years of age but not at 24 years. Notably, alcohol consumption (Alcohol Use Disorder Identification Test for Consumption) at 24 years was predicted by insufficient sleep at 15 years whilst alcohol drinking at 15 years could not predict sleep problems at 24. In msP rats, adolescent chronic sleep restriction escalated alcohol consumption and led to increased propensity for risk-taking behavior in adolescence and adulthood. Our findings demonstrate that adolescent insufficient sleep causally contributes to higher adult alcohol consumption, potentially by promoting risky behavior.

Mood variability during adolescent development and its relation to sleep and brain development

Mood swings, or mood variability, are associated with negative mental health outcomes. Since adolescence is a time when mood disorder onset peaks, mood variability during this time is of significant interest. Understanding biological factors that might be associated with mood variability, such as sleep and structural brain development, could elucidate the mechanisms underlying mood and anxiety disorders. Data from the longitudinal Leiden self-concept study (N = 191) over 5 yearly timepoints was used to study the association between sleep, brain structure, and mood variability in healthy adolescents aged 11-21 at baseline in this pre-registered study. Sleep was measured both objectively, using actigraphy, as well as subjectively, using a daily diary self-report. Negative mood variability was defined as day-to-day negative mood swings over a period of 5 days after an MRI scan. It was found that negative mood variability peaked in mid-adolescence in females while it linearly increased in males, and average negative mood showed a similar pattern. Sleep duration (subjective and objective) generally decreased throughout adolescence, with a larger decrease in males. Mood variability was not associated with sleep, but average negative mood was associated with lower self-reported energy. In addition, higher thickness in the dorsolateral prefrontal cortex (dlPFC) compared to same-age peers, suggesting a delayed thinning process, was associated with higher negative mood variability in early and mid-adolescence. Together, this study provides an insight into the development of mood variability and its association with brain structure.

Changes to sleep patterns and insomnia symptoms following cognitive behavioural therapy for anxiety disorders in adolescents

BACKGROUND

It is unclear whether treatment for an anxiety disorder improves sleep. This study examined baseline sleep characteristics of adolescents with an anxiety disorder, comparing weekdays and weekends, and whether there were significant improvements in sleep following cognitive behaviour therapy (CBT).

AIMS

To improve our understanding of sleep problems in adolescents with an anxiety disorder and examine whether CBT for the treatment of the anxiety disorder improves sleep.

METHOD

Data was gathered from 179 participants with an anxiety disorder (11-17 years old) who had previously engaged with the out-patient child and adolescent mental health service. Baseline self-report measures of anxiety and depression symptoms, sleep patterns and experiences of insomnia were examined. Of this group, 135 participants had baseline data. A subset (n=73) had outcome data, which was used to examine changes in sleep following CBT.

RESULTS

At baseline, adolescents reported significantly less total sleep and more night-time waking on weekdays than weekends. Following treatment for their anxiety disorder, adolescents' weekday sleep patterns significantly improved for sleep onset latency and total sleep time, whereas weekend sleep patterns only showed improvements for sleep onset latency. No significant improvements were reported for symptoms of insomnia.

CONCLUSIONS

The study relied upon subjective measurement of sleep and there was no control group; however, the findings provide promising results that CBT for adolescent anxiety disorders can improve some sleep problems. Further research is needed to understand discrepancies between subjective and objective sleep, and to explore avenues for the delivery of support for sleep problems.

Childhood correlates and young adult outcomes of trajectories of emotional problems from childhood to adolescence

BACKGROUND

Emotional problems, especially anxiety, have become increasingly common in recent generations. Few population-based studies have examined trajectories of emotional problems from early childhood to late adolescence or investigated differences in psychiatric and functional outcomes.

METHODS

Using the Avon Longitudinal Study of Parents and Children (ALSPAC, n = 8286, 50.4% male), we modeled latent class growth trajectories of emotional problems, using the parent-reported Strength and Difficulties Questionnaire emotional scale (SDQ-E) on seven occasions (4-17 years). Psychiatric outcomes in young adulthood (21-25 years) were major depressive disorder (MDD), generalized anxiety disorder (GAD), and self-harm. Functional outcomes were exam attainment, educational/occupational status, and social relationship quality.

RESULTS

We identified four classes of emotional problems: low (67.0%), decreasing (18.4%), increasing (8.9%), and persistent (5.7%) problems. Compared to those in the low class, individuals with decreasing emotional problems were not at elevated risk of any poor adult outcome. Individuals in the increasing and persistent classes had a greater risk of adult MDD (RR: 1.59 95% CI 1.13-2.26 and RR: 2.25 95% CI 1.49-3.41) and self-harm (RR: 2.37 95% CI 1.91-2.94 and RR: 1.87 95% CI 1.41-2.48), and of impairment in functional domains. Childhood sleep difficulties, irritability, conduct and neurodevelopmental problems, and family adversity were associated with a persistent course of emotional problems.

CONCLUSIONS

Childhood emotional problems were common, but those whose symptoms improved over time were not at increased risk for adverse adult outcomes. In contrast, individuals with persistent or adolescent-increasing emotional problems had a higher risk of mental ill-health and social impairment in young adulthood which was especially pronounced for those with persistent emotional problems.

Afraid and Awake: The Interaction Between Trauma and Sleep in Children and Adolescents

Traumatic experiences and sleep disturbances are both common in children and adolescents. Because of the reciprocal relationship between sleep complaints and trauma, a mental health evaluation should include not only an assessment of posttraumatic stress disorder and other trauma symptoms but also a specific evaluation of sleep-related complaints. Similarly, if a history of both trauma and sleep complaints is identified, an effective trauma-informed intervention, whether psychological, psychopharmacologic, or a combination of the two, should directly address sleep issues.

Modifiable dietary factors in adolescent sleep: A systematic review and meta-analysis

OBJECTIVE

Sleep problems are prevalent during adolescence, and modifying dietary factors may contribute to better sleep outcomes in adolescents. This systematic review and meta-analysis aimed to evaluate the impact of modifiable dietary factors on sleep health among adolescents.

METHODS

A systematic search of records from six databases including MEDLINE, PubMed, Embase, Scopus, CINAHL, and the CENTRAL from inception up to November 2023, identified 33 peer-reviewed publications that assessed the relationship between modifiable dietary factors and sleep outcomes in adolescents aged 12-18 years. The NIH Quality Assessment Tools were used to assess the quality of the included studies. Meta-analysis was performed on a sub-group of studies (n = 6) to ascertain the effect of dietary factors on sleep health.

RESULTS

Although the included studies were predominantly cross-sectional and exhibited heterogeneity, relying mainly on self-reported measures, it was observed that consumption of healthy foods was consistently linked with improved sleep outcomes among adolescents, whereas higher intake of fat-rich or sugar-rich foods and red meats or processed food was associated with poorer sleep features. The meta-analysis further substantiated that adolescents with higher caffeine intake faced increased odds of sleep problems (OR = 1.67, 95% CI: 1.28-2.17), while alcohol consumption was significantly associated with insomnia (OR = 1.17, 95% CI: 1.07-1.27).

CONCLUSION

Overall, despite high heterogeneity among studies, this systematic review underscores the promising role of healthy dietary factors in enhancing both the quality and quantity of sleep in adolescents. The meta-analysis results also highlight that reducing caffeine and alcohol intake holds potential for supporting better sleep in this population. However, further validation through intervention studies is warranted.

Sleep, brain systems, and persistent stress in early adolescents during COVID-19: Insights from the ABCD study

PURPOSE

The first year of the COVID-19 pandemic constituted a major life stress event for many adolescents, associated with disrupted school, behaviors, social networks, and health concerns. However, pandemic-related stress was not equivalent for everyone and could have been influenced by pre-pandemic factors including brain structure and sleep, which both undergo substantial development during adolescence. Here, we analyzed clusters of perceived stress levels across the pandemic and determined developmentally relevant pre-pandemic risk factors in brain structure and sleep of persistently high stress during the first year of the COVID-19 pandemic.

METHODS

We investigated longitudinal changes in perceived stress at six timepoints across the first year of the pandemic (May 2020-March 2021) in 5559 adolescents (50 % female; age range: 11-14 years) in the United States (U.S.) participating in the Adolescent Brain Cognitive Development (ABCD) study. In 3141 of these adolescents, we fitted machine learning models to identify the most important pre-pandemic predictors from structural MRI brain measures and self-reported sleep data that were associated with persistently high stress across the first year of the pandemic.

RESULTS

Patterns of perceived stress levels varied across the pandemic, with 5 % reporting persistently high stress. Our classifiers accurately detected persistently high stress (AUC > 0.7). Pre-pandemic brain structure, specifically cortical volume in temporal regions, and cortical thickness in multiple parietal and occipital regions, predicted persistent stress. Pre-pandemic sleep difficulties and short sleep duration were also strong predictors of persistent stress, along with more advanced pubertal stage.

CONCLUSIONS

Adolescents showed variable stress responses during the first year of the COVID-19 pandemic, and some reported persistently high stress across the whole first year. Vulnerability to persistent stress was evident in several brain structural and self-reported sleep measures, collected before the pandemic, suggesting the relevance of other pre-existing individual factors beyond pandemic-related factors, for persistently high stress responses.

Sleep in young people: What works now and where to? A meta-review of behavioural and cognitive interventions and lifestyle factors

OBJECTIVES

1) Systematically review meta-analyses and systematic reviews that (a) explored health/lifestyle factors affecting sleep, and/or (b) investigated behavioral/psychological sleep interventions in young people (10-25-years); 2) Evaluate the quality of published literature, and, if an intervention; 3) Examine method and effectiveness of mode of delivery, to inform current clinical practice and research direction.

METHOD

A systematic search of Embase (n = 45), MEDLINE (n = 67), Web of Science (n = 375), Google Scholar (n = 138), and hand-searching was conducted. After full review, 12 papers were selected, 2 systematic reviews without, and 10 with, meta-analyses. Six examined associations between sleep and lifestyle/health, and six examined cognitive-behavioral (n = 4), or school education (n = 2), programs.

RESULTS

Electronic media use, type of day (week/end), sex, age, culture/geographical location, substance use, family environment, and evening light exposure were negatively associated with sleep, in young people. Only cognitive and/or behavioral interventions of at least 2 × 1-hr sessions improved sleep.

CONCLUSION

This paper informs sleep recommendations for young people and advises that ≥ 2 × 1-hr sessions of cognitive behavioral or behavioral therapy is the minimum to improve sleep in young people. School-based sleep interventions do not produce long-term change.

Improvements in sleep problems and their associations with mental health symptoms: A study of children and adolescents participating in a digital mental health intervention

Objective

A growing number of youth are utilizing digital mental health interventions (DMHIs) for treatment of mental health problems such as anxiety, depression, and ADHD. Although these mental health symptoms are closely related to sleep problems, it is unknown whether nonsleep DMHIs indirectly confer improvements in sleep. Using retrospective data, the current study assesses (1) whether youth sleep problems improve over participation in a nonsleep DMHI, and (2) whether mental health symptom severity and improvement are correlated with sleep problem severity over time.

Methods

Sleep problems and mental health symptoms were assessed every 30 days among children (ages 5-12) and adolescents (ages 13-17) participating in a pediatric digital mental health intervention (DMHI; N = 1219).

Results

Children and adolescents with elevated sleep problems (39.3%; n = 479) were older (P < .001), more predominantly female (P < .001), and more likely to have elevated anxiety (P < .001), depressive (P < .001) and inattention symptoms (P = .001), as compared to those with nonelevated sleep problems (60.7%; n = 740). From the baseline to last assessment, 77.3% (n = 269) of members with elevated sleep problems exhibited improvements, with sleep problems decreasing significantly over each month in care (P < .001). Members with improvements in anxiety, depressive, and/or ADHD symptoms had larger improvements in sleep over time compared to their peers with no improvement in their mental health symptoms (Months in care*Change type: P < .001 for all).

Conclusions

Our results provide preliminary evidence that participation in a pediatric DMHI is associated with improvements in sleep problems, even when youth are not being treated directly for sleep problems. These findings highlight a valuable secondary benefit of participating in mental health care within pediatric DMHIs and warrant further experimental research.

Time trends in self-reported depressive symptoms, prescription of antidepressants, sedatives and hypnotics and the emergence of social media among Norwegian adolescents

BACKGROUND

Research has shown increased mental health problems and use of prescription drugs among adolescents in recent years and social media use has been linked to poorer mental health. However, trend studies concerning these topics are scarce. The purpose of this study was to analyze gender-specific trends in a) symptoms of depression and loneliness, and b) prescription of antidepressants, hypnotics and sedatives, in relation to the emergence of social media among adolescents in Norway.

METHODS

This is an ecological study using data from the 'Young in Oslo' surveys from 1996 to 2021. The surveys included approximately 110 000 students, 14-17 years of age, and yielded a response rate varying from 95% in 1996 to 64% in 2021. A self-report questionnaire was used to collect information on symptoms of depression and loneliness. Information on antidepressant and sleep medication prescription was retrieved from the Norwegian Prescription Database for the age group 15 to 19 years. A graphical approach and logistic regression models were used to examine gender-specific time-trends between 1996 to 2021.

RESULTS

We found a doubling in self-reported symptoms of depression and loneliness among girls between 1996 and 2021, with the steepest increase in the period from 2006 to 2012, when Facebook and other social media were introduced. A similar trend was observed in the prescription of antidepressants among girls, with the steepest increase between 2011 and 2013. Among both boys and girls, 'worried too much about things' and 'had sleep problems' were the two symptoms with the greatest changes.

CONCLUSION

A significant upward trend in self-reported depressive symptoms and medication use was observed over the past 25 years, with variations in the rate of increase, including a steeper trajectory during certain periods immediately after the introduction of social media platforms in Norway.

Abnormal alterations of regional spontaneous neuronal activity and functional connectivity in insomnia patients with difficulty falling asleep: a resting-state fMRI study

BACKGROUND

Insomnia disorder (ID) seriously affects people's daily life. Difficulty falling asleep is the most commonly reported complaint in patients with ID. However, the mechanism of prolonged sleep latency (SL) is still obscure. The aim of our present study was to investigate the relationship between prolonged SL and alterations in spontaneous neural activity and brain functional connectivity (FC) in ID patients using functional magnetic resonance imaging (fMRI).

METHODS

A total of 52 insomniacs with difficulty falling asleep and 30 matched healthy controls (HCs) underwent resting-state fMRI. The amplitude of low-frequency fluctuation (ALFF) was measured and group differences were compared. The peak areas with significantly different ALFF values were identified as the seed regions to calculate FC to the whole brain. SL was assessed by a wrist actigraphy device in ID patients. The Pittsburgh Sleep Quality Index (PSQI), Hamilton Anxiety Rating Scale (HAMA), and Hyperarousal Scale (HAS) were evaluated in both ID patients and HCs. Finally, correlation analyses were performed between the clinical features and FC/ALFF values.

RESULTS

ID patients showed higher PSQI, HAMA, HAS scores than HCs. The functional MRI results indicated increased ALFF value in the left insula and right amygdala and decreased ALFF value in the right superior parietal lobe (SPL) in ID patients. The seed-based FC analysis demonstrated increased FC between the left insula and the bilateral precentral gyrus and FC between the right amygdala and the left posterior cingulate cortex (PCC) in patients with ID. Correlation analysis indicated that the increased FC value of the right amygdala-left PCC was positively correlated with SL measured by actigraphy.

CONCLUSION

This study revealed abnormal regional spontaneous fluctuations in the right amygdala, left insula, and right SPL, as well as increased FC in the left insula-precentral and right amygdala-left PCC. Moreover, the prolonged SL was positively correlated with the abnormal FC in the right amygdala-left PCC in ID patients. The current study showed the correlation between prolonged SL and the abnormal function of emotion-related brain regions in ID patients, which may contribute to a better understanding of the neural mechanisms underlying difficulty falling asleep in patients with ID.

CLINICAL TRIAL REGISTRATION

http://www.chictr.org.cn ., ChiCTR1800015282. Registered on 20th March 2018.

Circadian preference and mental health outcomes in youth: A systematic review and meta-analysis

Youth is a vulnerable developmental period associated with an increased preference for eveningness and risk for developing psychopathology. Growing evidence suggests a link between eveningness and poorer mental health outcomes, but the findings in the current literature are inconsistent, and a comprehensive synthesis of evidence in this area remains lacking. This meta-analysis aimed to 1) synthesise the existing evidence on the association between circadian preference and mental health outcomes in youths and 2) explore potential sleep-related factors that may moderate the relationship between circadian preference and mental health outcomes. A systematic search of five electronic databases resulted in 81 observational studies included in the review. Eveningness was found to be significantly associated with general mental health (r = 0.20), mood-related disturbances (r = 0.17), and anxiety problems (r = 0.13). The qualitative review also identified that eveningness was associated with greater risks for psychotic symptoms and maladaptive eating behaviours. These findings highlighted the need to consider circadian preference in the clinical management of youth mental health problems. Further research is needed to examine the efficacy of a circadian-focused intervention in the context of youth mental health.

Prospective associations between psychosomatic complaints in adolescence and depression and anxiety symptoms in young adulthood: A Swedish national cohort study

Background

Psychosomatic complaints are reported by high shares of adolescents in Sweden and elsewhere. Yet, little is known about to the extent to which the frequency, number, and persistence of such complaints in adolescence are associated with subsequent mental health problems. The aim of this study was to examine how the frequency, number, and persistence of psychosomatic complaints in middle and late adolescence are associated with depression and anxiety symptoms in young adulthood.

Methods

A Swedish national cohort study of adolescents who were surveyed in 2017 (t1; age 15-16), in 2019 (t2; age 17-18) and in 2022 (t3; age 20-21 years) was used. Psychosomatic complaints were measured by questions on stomach ache, headache and difficulties falling asleep at t1 and t2. Depression and anxiety symptoms were measured by the Patient Health Questionnaire-4 (PHQ-4) at t3. Multivariable binary logistic regression analyses stratified by gender were based on data from t1, t2 and t3 (n = 2779).

Results

The frequency, number, and persistence of psychosomatic complaints during adolescence were associated with symptoms of depression and anxiety in young adulthood. Both earlier (at t1 only) and more recent (at t2 only) complaints were linked to subsequent depression and anxiety symptoms, while persistent (at both t1 and t2) psychosomatic complaints showed stronger associations in girls.

Conclusions

Psychosomatic complaints in adolescence were associated with depression and anxiety symptoms in young adulthood. This was true for the frequency, number, and persistence of psychosomatic complaints. Among girls, those who reported persistent psychosomatic complaints from middle to late adolescence had the highest likelihood of reporting subsequent depression and anxiety symptoms. Taken together, the results indicate that psychosomatic complaints during adolescence can translate into later depression and anxiety symptoms. Furthermore, repeated measurements of psychosomatic complaints can be used to identify the most vulnerable group.

Construction of a model for adolescent physical and mental health promotion based on the multiple mediating effects of general self-efficacy and sleep duration

We developed a model for promoting adolescent physical and mental health (MH) to investigate the integrated pathways of physical activity (PA), MH, general self-efficacy (GSE), and sleep duration (SD) promotion among adolescents in China. The research hypotheses were tested using questionnaires, descriptive statistics, and validated factor analysis. The mean age of the respondents was 14.94 ± 1.76 years, the PA level was 2.49 [95% confidence interval (CI): 2.46-2.53], the GSE score was 2.60 (95% CI: 2.57-2.64), the SD was 436.52 min/day (95% CI: 432.89-440.15), and the total mean MH score was 1.72 (95% CI: 1.69-1.76) (model fitness index: χ2/df = 1.295, comparative fit index = 0.999, Tucker-Lewis index = 0.997, root mean square error of approximation = 0.014, standardized root mean square residual = 0.007). The SD accounted for 46.85% of the mediating effect. The adolescents exhibited moderately low PA levels, severe SD deficits, and high rates of overall MH abnormalities. Consequently, the constructed model for promoting adolescent physical health and MH was confirmed to be reliable; GSE and SD are significant factors mediating MH promotion.

Associations between sleep habits, quality, chronotype and depression in a large cross-sectional sample of Swedish adolescents

OBJECTIVE

To investigate behavioral sleep habits, self-perceived quality of sleep, and chronotype, and to examine their association with clinically relevant levels of depression in Swedish adolescents.

METHOD

Questionnaire data were obtained from a representative sample of Swedish adolescents (n = 8449; 50.8% girls; aged 12-16). Depression was defined as >13 BDI-II scores. Logistic regression modelling estimated the effects of sleep duration, sleep quality, and chronotype on depression, adjusted for socio-demographic factors.

RESULTS

On weekdays, approximately 46% of adolescents slept less than the recommended length of eight hours per night (depressed: 68%, non-depressed: 40%). On weekends, however, only 17% slept shorter than recommended. Short weekday sleep duration was more common among girls than boys (53% vs. 38%) and girls reported worse sleep quality. The regression model showed that depression was predicted by weekday sleep duration (OR = 0.773, p < .0001), sleep quality (OR = 0.327, p < .0001), and late chronotype (OR = 1.126, p = .0017), but not by weekend sleep duration. A 30-minute increase in weekday sleep duration was associated with about 10% lower odds of depression.

CONCLUSIONS

A substantial proportion of Swedish adolescents do not seem to meet the sleep recommendations of eight hours per night. Short sleep duration on weekdays, poor sleep quality, and late chronotype were associated with increased risk of depression. Interventions promoting longer weekday sleep duration (e.g., later school start times) seem relevant in this context, but further research is needed to investigate the directionality and underlying mechanisms of these associations.

Polygenic predisposition, sleep duration, and depression: evidence from a prospective population-based cohort

Suboptimal sleep durations and depression frequently cooccur. Short-sleep and long-sleep are commonly thought of as symptoms of depression, but a growing literature suggests that they may be prodromal. While each represents a process of mutual influence, the directionality between them remains unclear. Using polygenic scores (PGS), we investigate the prospective direction involved in suboptimal sleep durations and depression. Male and female participants, aged ≥50, were recruited from the English Longitudinal Study of Ageing (ELSA). PGS for sleep duration, short-sleep, and long-sleep were calculated using summary statistics data from the UK Biobank cohort. Sleep duration, categorised into short-sleep ("≤5 h"), optimal-sleep (">5 to <9 h"), and long-sleep ("≥9 h"), was measured at baseline and across an average 8-year follow-up. Subclinical depression (Centre for Epidemiological Studies Depression Scale [≥4 of 7]) was also ascertained at baseline and across an average 8-year follow-up. One standard deviation increase in PGS for short-sleep was associated with 14% higher odds of depression onset (95% CI = 1.03-1.25, p = 0.008). However, PGS for sleep duration (OR = 0.92, 95% CI = 0.84-1.00, p = 0.053) and long-sleep (OR = 0.97, 95% CI = 0.89-1.06, p = 0.544) were not associated with depression onset during follow-up. During the same period, PGS for depression was not associated with overall sleep duration, short-sleep, or long-sleep. Polygenic predisposition to short-sleep was associated with depression onset over an average 8-year period. However, polygenic predisposition to depression was not associated with overall sleep duration, short-sleep or long-sleep, suggesting different mechanisms underlie the relationship between depression and the subsequent onset of suboptimal sleep durations in older adults.

Associations between insomnia symptom trajectories with depression and self-harm behaviors in Chinese college students before and during the COVID-19 pandemic: A five-wave longitudinal investigation

BACKGROUND

Sleep problems are highly prevalent during COVID-19 pandemic. However, only very limited studies have examined the changing patterns of insomnia symptom before and during the COVID-19 pandemic, and most of these studies were limited to two-wave designs and the variable-centered approach.

METHODS

The data was taken from a large-scale health-related cohort among Chinese college students. This cohort was a five-wave design and 3834 participants who completed at least two waves were included in the present study. Growth mixture modeling (GMM) was used to estimate trajectory classes for insomnia symptoms, followed by binary logistic regression to explore the association between trajectory classes and subsequent mental health problems.

RESULTS

GMM analyses extracted four distinct trajectories of insomnia symptoms: stable-low pattern (n = 2897, 75.6 %), increasing pattern (n = 405, 10.6 %), decreasing pattern (n = 182, 4.7 %), and stable-high pattern (n = 350, 9.1 %). Additionally, we found that individuals in stable-high and increasing patterns were more likely to experience mental health problems after the COVID-19 pandemic even after adjusting significant covariates and outcomes at baseline.

CONCLUSIONS

Appreciable heterogeneity in insomnia symptoms among college students was revealed before and during the COVID-19 pandemic. About 20 % of college students were classified as high-risk patterns of insomnia symptoms. Psychological interventions should target such vulnerable groups to reduce the rates of mental health problems.

Using Nightly Sleep Guidelines to Address Links Between Adolescents' Self-Reported Weekly Sleep Patterns and Anxiety and Depression Symptoms

Short and long nightly sleep durations are associated with anxiety and depression symptoms among adolescents. However, studies have not used recommended hours of nightly sleep or focused on sleep patterns across weekdays and weekends in examining links with anxiety and depression symptoms. The present study included 709 adolescents in Grade 11 (402 females; 307 males) who self-reported hours of sleep on weeknights and weekends and anxiety and depression symptoms. Using the recommended 8-10 h to define average nightly sleep for adolescents, sleep patterns across weekdays and weekends were categorised into seven classes: short stable, short increasing, average decreasing, average stable, average increasing, long decreasing, and long stable. Relative to average stable sleepers, short stable, short increasing, and long stable sleepers had significantly higher anxiety and depression. Adolescents require 8-10 h of sleep on weeknights, regardless of weekends, for optimal emotional wellbeing.

Anxious-Withdrawal and Sleep Problems during Adolescence: The Moderating Role of Peer Difficulties

Anxious-withdrawal is a well-established individual risk factor for psychosocial difficulties during adolescence. It is unknown, however, whether it also places youth at increased risk for physical health problems, such as sleep difficulties. This study examines the concurrent and prospective associations between anxious-withdrawal and six types of sleep difficulties (i.e., sleeping too much, sleeping too little, talking/walking in sleep, being overtired, nightmares, and general trouble sleeping). We further evaluate whether these associations differ for adolescents who are high versus low in exclusion and victimization. The participants were 395 adolescents (Mage = 13.61 years; 35% ethnic minority) who completed peer nominations of anxious-withdrawal, exclusion, and victimization at Time 1 (T1). Their mothers completed reports of sleep difficulties at T1 and at Time 2 (T2). Path analyses revealed unique associations between anxious-withdrawal and several types of sleep difficulties (e.g., sleeping too much) at T1. Analyses also revealed a significant interaction effect between T1 anxious-withdrawal and exclusion/victimization such that anxious-withdrawal was prospectively associated with trouble sleeping only for those young adolescents who are highly excluded/victimized. Our findings are the first to link anxious-withdrawal to a physical health outcome in adolescence and point to the need for future research to not only examine anxious-withdrawal and physical health but also to include assessments of peer difficulties.

Effects of red light on sleep and mood in healthy subjects and individuals with insomnia disorder

Introduction

This study aimed to determine the influence of red light on objective sleep and the relationship between mood and sleep among individuals with insomnia disorder (ID).

Method

57 individuals with insomnia symptoms and 57 healthy participants were randomly divided into three groups (red- and white-light groups, and the black control group), which received different light treatments for 1 h before bedtime. The emotions and subjective alertness of participants were evaluated using Positive and Negative Affect Schedule scales (PANAS) and Karolinska Sleepiness Scale (KSS), their sleeping data were recorded using polysomnography (PSG).

Result

The negative emotion scores were higher in the healthy subject-red light (HS-RL) group than in the HS-white light (WL) and HS-black control (BC) groups (p < 0.001). The anxiety and negative emotion scores were higher in the ID-RL group than in the ID-WL and ID-BC groups (p = 0.007 and p < 0.001, respectively). The KSS scores were lower in the RL group than in the WL and BC groups for both HS and ID group (both p < 0.001). The SOL was shorter in the HS-RL group than in HS-WL group (p = 0.019). Compared with the HS-BC group, the HS-RL group had an increase in microarousal index (MAI) and N1% (p = 0.034 and p = 0.021, respectively), while the total sleep time (TST) and sleep efficiency (SE) decreased (p = 0.001 and p < 0.001, respectively). Compared with the ID-WL group, the SOL was shorter in the ID-RL group (p = 0.043), while TST, SE, number of microarousals (NMA), and numbers of cycles of REM period were increased (p = 0.016, p = 0.046, p = 0.001, and p = 0.041, respectively). Compared with the ID-BC group, the ID-RL group had increases in the SOL, WASO, and the numbers of cycles and NMA in REM period (p = 0.038, p = 0.005, p = 0.045, and p = 0.033, respectively), and a decrease in SE (p = 0.014). The effects of ID-WL (vs. ID-RL group) and ID-BC (vs. ID-RL group) on SOL were mediated by negative emotions (mediating effects were - 37.626 and - 33.768, respectively).

Conclusion

Red light can increase subjective alertness, anxiety, and negative emotions in both healthy subjects and people with ID, which can affect sleep directly or indirectly via the mediating effect of negative emotions.

Associations Between Sleep Duration and Positive Mental Health Screens During Adolescent Preventive Visits in Primary Care

OBJECTIVE

The purpose of this paper was to understand associations between low sleep duration (<8.ßhours) and positive mental health screens among adolescents (ages 13...18) seen for preventive visits in primary care.

METHODS

Data were from two randomized controlled trials testing the efficacy of an electronic health risk behavior screening and feedback tool for adolescent preventive visits. Participants (n.ß=.ß601) completed screeners at baseline, 3 months, and 6 months which included sleep duration in hours and the Patient Health Questionnaire 9 and Generalized Anxiety Disorder 7 screeners for depression and anxiety, respectively. Main analyses included adjusted logistic regressions testing associations between low sleep duration and positive mental health screens.

RESULTS

Adjusted models showed that low sleep duration was associated with significantly greater odds of a positive depression screen (OR.ß=.ß1.58, 95% CI: 1.06...2.37) but not with a positive anxiety screen or co-occurring positive depression and anxiety screens. However, follow-up analyses indicated an interaction between sleep duration and anxiety in the association with a positive depression screen, such that the association between low sleep and a positive depression screen was driven by those who did not screen positive for anxiety.

CONCLUSIONS

As pediatric primary care guidelines for sleep continue to evolve, further research, training, and support for sleep screening are warranted to ensure effective early intervention for sleep and mental health problems during adolescence.

Perspective: Teenagers and the sleep paradox

STUDY OBJECTIVES

Teenagers experience sleep deficits as they try to manage expectations with school, their social media presence, and increasingly competitive extracurriculars. Late-night screen time is a barrier to sleep hygiene. It is important to acknowledge and understand lifestyle challenges that can prevent teenagers from receiving adequate sleep every night. A teenager perspective on these issues and recommendations can incite better ways to outreach, educate, and support teenagers in maintaining good sleep.

METHODS

We describe what is known and not known about sleep health among teenagers and challenges to maintaining adequate sleep from the perspective of a third-year high school student. We also provide recommendations for outreach to promote early recognition of issues and tools that can support sleep hygiene to reinforce future mental and physical health.

RESULTS

While teenagers enjoy good sleep, this is limited by heavy loads of homework along with increasingly competitive extracurriculars, keeping up with social and cultural demands, and early school starts. Also, teenagers may not understand what adequate sleep entails and the full impact of sleep on well-being.

CONCLUSIONS

Social media provides a channel to extend outreach to teenagers to communicate the importance of consistent quality and quantity of sleep, increase awareness of sleep tracking tools, and highlight the impact of sleep on mental health. Additionally, better engagement is needed with schools and community to manage academic and extracurricular schedules that allow teenagers to schedule consistent bedtimes and wake times.

CITATION

Ramar S, Lloyd RM Perspective: teenagers and the sleep paradox. J Clin Sleep Med. 2023;19(8):1569-1571.

Smartphones, social Media and Adolescent mental well-being: the impact of school policies Restricting dayTime use-protocol for a natural experimental observational study using mixed methods at secondary schools in England (SMART Schools Study)

INTRODUCTION

Smartphone and social media use is prevalent during adolescence, with high levels of use associated with lower levels of mental well-being. Secondary schools in the UK have introduced policies that restrict daytime use of smartphones and social media, but there is no evaluation on the impact of these policies on adolescent mental well-being. The SMART Schools Study aims to determine the impact of daytime restrictions of smartphone and social media use on indicators of adolescent mental well-being, anxiety, depression, physical activity, sleep, classroom behaviour, attainment and addictive social media use.

METHODS AND ANALYSIS

This is a natural experimental observational study using mixed methods. Secondary schools within a 100 mile radius of the recruiting centre in the West Midlands (UK) have been categorised into two groups: Schools that restrict (intervention) and permit (comparator) daytime use of smartphones. We aim to recruit 30 schools (20 restrictive, 10 permissive) and 1170 pupils aged 12-13 and 14-15 years. We will collect data on mental well-being, anxiety and depressive symptoms, phone and social media use, sleep and physical activity from pupil surveys, and accelerometers. Policy implementation measures and data on individual pupil factors will be collected through school staff surveys, and website/policy analysis. Six case study schools will explore individual, school and family/home factors that influence relationships between school smartphone policies, smartphone/social media use, and mental well-being. Economic evaluation will be completed through a cost-consequence analysis from an education sector perspective.

ETHICS AND DISSEMINATION

Ethical approval was obtained from the University of Birmingham's Research Ethics Committee (ERN_22-0723). Parents/carers of pupil participants can complete a form to opt their child out of the study. Pupil, school staff and parent/carer participants are asked to complete online/written consent (or assent). Findings will be disseminated through policy briefings, resources for schools, social media, reports, and open access publications.

TRIAL REGISTRATION NUMBER

ISRCTN77948572.

Evening chronotype, insufficient weekday sleep, and weekday-weekend gap in sleep times: What is really to blame for a reduction in self-perceived health among university students?

The association of insufficient sleep with reduced self-perceived health was previously well established. Moreover, it was sometimes shown that the indicators of poorer health were significantly related to chronotype and weekday-weekend gaps in sleep timing and duration. It remains to be elucidated, however, whether chronotype and these gaps can contribute to the reduced health self-ratings independently from shortened sleep duration or, alternatively, their relationship with health can be simply explained by their association with insufficient sleep on weekdays. In an online survey, we tested whether the self-rated health of university students can be predicted by several individual characteristics of the sleep-wake cycles, such as chronotype, weekday and weekend sleep times, weekday-weekend gap in sleep times, sleepability and wakeability at different times of the day, etc. Responses to a question about general health and to items of several questionnaires for chronobiological assessment were collected from smartphones of 1582 university students (mean age ± standard deviation was 19.5 ± 1.7 y). The results of regression analyses suggested that lower odds of having good self-rated health were significantly associated with an earlier weekday risetime, a later weekday bedtime, and, consequently, a shorter weekday time in bed. After accounting for weekday sleep, self-rated health showed significant association with neither chronotype nor weekday-weekend differences in sleep duration and timing. Besides, the adverse health effects of reduced weekday sleep were independent from the significant adverse effects of several other individual sleep-wake characteristics including poorer nighttime sleepability and lower daytime wakeability. We concluded that university students perceive the negative health impacts of losing sleep by waking up early on weekdays irrespective of their night sleep quality and daytime level of alertness. Their chronotype and weekday-weekend difference in sleep times might not be among significant contributors to this perception. It is of practical importance to consider the reduction of weekday sleep losses among the interventions aimed at preventing sleep and health problems.

Association of sleep behavior with depression: a cross-sectional study in northwestern China

Background

This study aimed to examine the association between sleep duration, sleep problems, and depression in Northwest China.

Method

Depression was diagnosed at the hospital and self-reported by the participants in the baseline survey. Sleep duration and problems, including difficulty initiating and maintaining sleep, early morning awakening, daytime dysfunction, use of sleeping pills or drugs, and any sleep problems, were obtained by a self-reported questionnaire. Logistic regression was used to estimate odds ratios (ORs) with corresponding 95% confidence intervals (CIs) for exploring the association between sleep duration, sleep problems, and depression, adjusting for demographic and socioeconomic characteristics and health behaviors. The association between depression and sleep duration was also evaluated continuously with restricted cubic spline curves based on logistic models.

Results

36,515 adults from Regional Ethnic Cohort Study in Northwest China were included. About 24.04% of participants reported short sleep duration (<7 h), and 15.64% reported long sleep duration (≥9 h). Compared with standard sleep duration (7-9 h), short sleep duration was associated with a higher risk of depression (OR: 1.69, 95%CI: 1.26-2.27, p = 0.001). Self-reported sleep problems were also related to four times depression risk increased (OR: 4.02, 95%CI: 3.03-5.35, p < 0.001) compared with no sleep problems. In addition, a nonlinear relationship was found between sleep duration and depression after adjusting covariates (p = 0.043).

Conclusion

Sleep duration and sleep problems are associated with depression. Enough sleep time and healthy sleep habits in life course might be a practical health promotion approach to reduce depression risk in Northwest Chinese adults. A further study from cohort study is needed to verify the temporal association.

Adolescent use of social media and associations with sleep patterns across 18 European and North American countries

OBJECTIVE

Over the past decade, concurrent with increasing social media use (SMU), there has been a shift toward poorer sleep among adolescents in many countries. The purpose of this study was to examine the cross-national associations between adolescent SMU and sleep patterns, by comparing 4 different categories of SMU (nonactive, active, intense, and problematic use).

DESIGN, SETTING, AND PARTICIPANTS

Data were from 86,542 adolescents in 18 European and North American countries that participated in the 2017/18 Health Behaviour in School-aged study.

MEASUREMENTS

Mixed-effects linear regression models were used to examine cross-national associations between 4 SMU categories and adolescent sleep duration, bedtime and social jetlag derived from self-reported data.

RESULTS

For all countries combined, nonactive SMU was associated with longer sleep, earlier bedtimes, and less social jetlag, compared to active SMU, although the differences were minor. By comparison, intense and problematic SMU were associated with less sleep and later bedtimes on both school and nonschool days, and greater social jetlag, compared to active SMU. While findings were relatively consistent between countries, some differences were observed, suggesting that the national and cultural context may be important in interpreting results.

CONCLUSIONS

These findings suggest that both intense and problematic SMU are associated with poorer sleep patterns in adolescents across most countries. Further research is needed to identify effective policies, programs, and messaging to promote the healthy use of social media and prevent potential negative impacts on adolescent sleep.

The impact of fear of hypoglycaemia on sleep in adolescents with type 1 diabetes

AIMS

Fear of hypoglycaemia (FOH) can contribute to impaired sleep for adults with type 1 diabetes (T1D) and parents of children with T1D, although it is unknown how FOH may affect sleep for adolescents with T1D. This study examines the relationship between adolescent FOH and sleep and assessed the influences of continuous glucose monitor (CGM) and insulin pump use.

METHODS

Adolescents ages 14-18 years with T1D completed questionnaires evaluating FOH (Child Hypoglycemia Fear Survey) and sleep (Pittsburgh Sleep Quality Index, PSQI). Analyses included linear and logistic regression, t-tests and Fisher's exact tests.

RESULTS

Participants included 95 adolescents (52 female) with a median (IQR) age of 16.5 (15.3-17.7) years and a T1D duration of 5.7 (2.5-9.6) years. Analyses showed increased FOH-Worry subscale scores were associated with reduced sleep duration (β = -0.03, p = 0.042, adjusting for BMI z-score, race and ethnicity) and increased sleep disturbances (OR = 1.1, p = 0.038, adjusting for race and ethnicity). Frequent CGM users had longer sleep duration (average 7.5 h) compared with infrequent or non-CGM users (average = 6.8 h; p = 0.029), and pump users had overall improved sleep health as determined by PSQI score (p = 0.019). Technology use did not have significant interactions in the relationships between FOH and sleep duration or sleep disturbances.

CONCLUSIONS

Worrying about hypoglycaemia was associated with impaired sleep for adolescents with T1D. Diabetes technology users have some sleep improvements, but CGM and pump use do little to alter the relationship between FOH and sleep outcomes.

Association between healthy sleep patterns and depressive trajectories among college students: a prospective cohort study

BACKGROUND

The purpose of this study was to identify different develpment trajectories of depression symptoms during college period, and prospectively investigate the associations healthy sleep patterns with trajectories of depression symptoms among college students from freshman through junior year.

METHODS

A total of 999 participants from the College Student Behavior and Health Cohort Study were included between April 2019 and June 2021. Healthy sleep patterns were defined by chronotype, sleep duration, insomnia, snoring, and daytime sleepiness. Latent growth curve model was used to identify trajectories of depression symptoms. Then binary logistic regression was used to examine association of the healthy sleep patterns with these trajectories.

RESULTS

In baseline survey, we found that a total of 100 (10.0%) participants had healthy sleep patterns' score equal to 5. Then, we used 5 surveys' data to identify 2 distinct trajectories of depression symptoms during college (decreasing: 82.5%; increasing: 17.5%). The healthy sleep patterns were associated with these trajectories, the better healthy sleep patterns significantly decrease the risk of increasing trajectories of depression symptoms in males (OR: 0.72, 95%CI: 0.54 ~ 0.97, P = 0.031). Moreover, we found out that the healthy sleep patterns of college students can predict the future depressive symptoms in this study (all P < 0.001).

CONCLUSION

Our findings indicate that the better healthy sleep patterns may significantly decrease the risk of increasing trajectory of depression symptoms only in male college students. The results speak to a need for college student with depression symptoms to identify and address sleep problems when present, which could prevent or reduce depression detriments in later life.

Attachment to Mother and Father, Sleep, and Well-Being in Late Middle Childhood

The security of attachment has been related to several advantageous developmental outcomes, such as good sleep quality and higher well-being indicators. However, few studies concern the associations between attachment dimensions to both parents, sleep, and well-being in late middle childhood. Our study aims to expand knowledge in this area, clarifying the above-mentioned associations by considering the secure base and safe haven dimensions of attachment. We also investigate the role of sleep as a mediator of the relationship between attachment and well-being. The 258 participants (49.2% girls, mean age = 11.19, SD = 0.85) completed self-report questionnaires regarding attachment (KSS), sleep (SSR), and well-being (CHIP-CE). The results show significant associations between attachment to both parents (0.40 ** ≤ r ≤ 0.61 **) and between attachment security, sleep (-0.21 ** ≤ r ≤ -0.35 **) and child well-being (0.42 ** ≤ r ≤ 0.47 **). Besides, sleep quality partially mediated the relations between all attachment dimensions to both parents and well-being. The results are discussed in light of attachment theory, focusing on the comparison between attachment to mother and father as a valid framework to unravel differences in child well-being, with sleep as a process that can help to explain the mechanisms through which attachment security enables subjective perceptions of well-being.

Life stress, insomnia, and anxiety/depressive symptoms in adolescents: A three-wave longitudinal study

PURPOSE

Life stress has negative impacts on sleep and mental health. Little empirical work has investigated the associations between life stress, insomnia, and anxiety/depressive symptoms (ADS) in multi-wave longitudinal studies. This longitudinal study examined these associations in a large sample of adolescents.

METHODS

A total of 6995 adolescents (mean age = 14.86 years, 51.4 % male) participated in a 3-wave longitudinal study of behavior and health in Shandong, China. Standardized rating scales were used to assess life stress, insomnia, and ADS in 2015 (T1), 1 year later (T2), and 2 years later (T3). Three-wave longitudinal panel models were conducted to examine the prospective relationships between life stress, insomnia, and ADS.

RESULTS

The prevalence and persistence rates of insomnia and ADS across T1-T3 significantly increased with elevated life stress score (p < .001). Cross-lagged panel analysis showed that life stress, insomnia, and ADS at a later time point were significantly predicted by the same variable at earlier time points (all p < .01). Life stress, insomnia, and ADS significantly predicted each other bidirectionally over time (all p < .01). The relationship between life stress and ADS was partially mediated by insomnia. The relationship between life stress and insomnia was partially mediated by ADS.

STUDY LIMITATION

Life stress, insomnia, and ADS were all self-reports.

CONCLUSIONS

Life stress, insomnia, and ADS are prospectively bidirectionally related to one another. Insomnia was a mediator of life stress and subsequent ADS and vice versa. These findings underscore the importance of sleep and mental health assessment and intervention in adolescents following life stress.

Sleep and Mental Health Problems in Children and Adolescents

Previous reviews have described the links between sleep and mental health extensively. In this narrative review, we focus on literature published during the last decade investigating the links between sleep and mental health difficulties in childhood and adolescence. More specifically, we focus on the mental health disorders listed in the most recent edition of the Diagnostic and Statistical Manual of Mental Disorders. We also discuss possible mechanisms underlying these associations. The review ends with a discussion of possible future lines of enquiry.

Patterns of unhealthy behaviours during adolescence and subsequent anxiety and depression in adulthood: a prospective register linkage study of the HUNT survey and health registries

BACKGROUND

There is increasing need for prospective investigations in the preventing role of health-related behaviours on mental health problems. The aim of this study is to identify patterns of health-related behaviours in adolescence, and the association between the behavioural patterns and the subsequent diagnoses and/or drug treatment for anxiety and/or depression in adulthood.

METHODS

This prospective study consisted of 13-19-year-old participants in the Trøndelag Health Study (Young-HUNT3) in 2006-2008 (n = 2061, 1205 females and 856 males) in Norway, who also participated in HUNT4 (2017-2019). Survey data on health-related behaviours in adolescence, including low level of physical activity, low consumption of wholegrain bread, fish, fruit, vegetables and high consumption of sugar-sweetened beverages and insomnia were linked on an individual level to prospective information on drug use and diagnosis in national health registries. The different patterns of health-related behaviours were identified through latent class analysis. Subsequent anxiety or depression was defined as at least one recording in either of three registries covering recorded diagnosis in primary and specialist healthcare, or dispensed prescription drugs during 2008-2019. Additionally, self-reported psychological distress measured in young adulthood was applied as a supplemental outcome measure.

RESULTS

Four patterns of health-related behaviours were identified: high risk behaviours (class 1), moderate to high risk behaviours (class 2), low to moderate risk behaviours (class 3) and low risk behaviours (class 4). Adolescents in class 3 showed higher odds of subsequent diagnoses for anxiety and/or depression in primary and specialist healthcare compared to class 4 participants. In addition, both class 1 and class 4 participants had higher odds for self-reported psychological distress than those class 4 (OR = 1.56 and OR = 1.86, respectively).

CONCLUSIONS

Our findings suggest that health-related behaviours are clustered among Norwegian adolescents. The patterns of unhealthy behaviours during adolescence only partly increased the risk of anxiety and depression in adulthood. Promoting healthy behaviours during adolescence may potentially reduce the burden of mental illness in adulthood, but further research is needed to clarify the nature of the relationships.

The beauty and the beast of social media: an interpretative phenomenological analysis of the impact of adolescents' social media experiences on their mental health during the Covid-19 pandemic

Despite extensive research, the mental health implication of social media in adolescents is not yet understood due to mixed and inconsistent findings and more in-depth qualitative studies are needed to expand our understanding of the impact of social media on adolescent mental health during the Covid-19 pandemic. The purpose of this study was to explore why and how adolescents use social media, adolescents' lived experiences on social media, how they make sense of these experiences having impact on their mental health, and the influence of the Covid-19 pandemic on their use of social media and mental health. In-depth interviews were conducted with eleven adolescents aged 14-16 (five female, six male) across England. The interviews were audio-recorded, transcribed verbatim and analysed using interpretative phenomenological analysis. Two key themes were identified: the beauty of social media that captured positive experiences and emotions of adolescents and the beast of social media that captured negative experiences and emotions. From the adolescents' accounts, social media has both positive and negative impacts on their mental health, but mostly positive impacts during the Covid-19 pandemic. The results were discussed in relation to the study aims and previous study findings. Strengths and methodological limitations of the study, implications for future research that emerged from the study were discussed.

Two-year changes in sleep duration are associated with changes in psychological distress in adolescent girls and boys: the fit futures study

Objective

Studies indicate an inverse association between sleep duration and psychological distress. We aimed to explore associations between changes in sleep duration and changes in psychological distress in girls and boys.

Methods

The Fit Futures Study is a broad adolescent study providing data from 373 girls and 294 boys aged 15–18 years collected in 2010/2011 (FF1) and 2012/2013 (FF2). Psychological distress was measured by the Hopkins Symptom Checklist (HSCL-10) and sleep duration was self-reported. Change score variables were calculated as the change between baseline and follow-up for sleep duration and HSCL-10, respectively. Associations between changes in sleep duration and changes in HSCL-10 were explored by linear regressions, in gender-stratified analyses.

Results

At FF1, girls and boys slept on average 6.93 (SD = 1.08) and 7.05 (SD = 1.20) hours per night respectively, and correspondingly, 6.83 (SD = 1.19) and 6.85 (SD = 1.21) at FF2. At FF1, 22.8% of the girls and 25.8% of the boys slept ≤ 6 h per night, and correspondingly 28.0% and 28.2% at FF2. In girls and boys, one unit increase (30 min) in sleep duration was associated with a decrease in HSCL-10 score of B [95% CI] = −0.090 [−0.131, −0.048], p < 0.001, and −0.054 [−0.091, −0.017], p < 0.001, respectively. The associations remained significant after adjusting for confounders.

Conclusion

Our findings show that increased sleep duration was associated with decreased psychological distress during adolescence. Future studies should examine the causality between sleep duration and psychological distress.

Leading Predictors of COVID-19-Related Poor Mental Health in Adult Asian Indians: An Application of Extreme Gradient Boosting and Shapley Additive Explanations

During the COVID-19 pandemic, an increase in poor mental health among Asian Indians was observed in the United States. However, the leading predictors of poor mental health during the COVID-19 pandemic in Asian Indians remained unknown. A cross-sectional online survey was administered to self-identified Asian Indians aged 18 and older (N = 289). Survey collected information on demographic and socio-economic characteristics and the COVID-19 burden. Two novel machine learning techniques-eXtreme Gradient Boosting and Shapley Additive exPlanations (SHAP) were used to identify the leading predictors and explain their associations with poor mental health. A majority of the study participants were female (65.1%), below 50 years of age (73.3%), and had income ≥ $75,000 (81.0%). The six leading predictors of poor mental health among Asian Indians were sleep disturbance, age, general health, income, wearing a mask, and self-reported discrimination. SHAP plots indicated that higher age, wearing a mask, and maintaining social distancing all the time were negatively associated with poor mental health while having sleep disturbance and imputed income levels were positively associated with poor mental health. The model performance metrics indicated high accuracy (0.77), precision (0.78), F1 score (0.77), recall (0.77), and AUROC (0.87). Nearly one in two adults reported poor mental health, and one in five reported sleep disturbance. Findings from our study suggest a paradoxical relationship between income and poor mental health; further studies are needed to confirm our study findings. Sleep disturbance and perceived discrimination can be targeted through tailored intervention to reduce the risk of poor mental health in Asian Indians.

Sleep duration change from childhood to adulthood and adult depressive disorders in the Chinese population

BACKGROUND

Sleep deprivation may cause depressive disorders in both children and adults. However, the effects of sleep duration change from childhood to adulthood on adult depressive disorders are poorly documented. Using the China Family Panel Study (CFPS) data, we aimed to examine the association between sleep duration change from childhood to adulthood and adult depressive disorders in the Chinese population.

METHODS

Data were from 1172 children aged 10-15 years in 2010 who were followed up through 2018 based on the nationally representative and population-based CFPS. According to sleep duration in childhood and early adulthood, the sleep duration change was categorized into four groups: persistently insufficient sleep, sleep duration loss, sleep duration gain and persistently sufficient sleep.

RESULTS

After adjustment for potential covariates, compared with individuals with persistently sufficient sleep duration, those with sleep duration loss (OR = 1.98, 95% CI = 1.14-3.46) and persistently insufficient sleep (OR = 2.35, 95% CI = 1.43-3.88) had higher odds of depressive disorders in adulthood. In contrast, the odds of adult depressive disorders did not significantly increase in those with sleep duration gain (OR = 1.46, 95% CI = 0.88-2.41).

LIMITATIONS

Information on sleep duration was obtained through a questionnaire; the sample size of this study was not large; the generalizality of our findings to other populations should be caucious.

CONCLUSION

Persistently insufficient sleep duration and sleep duration loss from childhood to adulthood were associated with higher odds of adult depressive disorders, while those who were able to change their sleep duration from insufficient status to sufficient status didn't have an increased odds of adult depressive disorders.

Adolescent sleep and the foundations of prefrontal cortical development and dysfunction

Modern life poses many threats to good-quality sleep, challenging brain health across the lifespan. Curtailed or fragmented sleep may be particularly damaging during adolescence, when sleep disruption by delayed chronotypes and societal pressures coincides with our brains preparing for adult life via intense refinement of neural connectivity. These vulnerabilities converge on the prefrontal cortex, one of the last brain regions to mature and a central hub of the limbic-cortical circuits underpinning decision-making, reward processing, social interactions and emotion. Even subtle disruption of prefrontal cortical development during adolescence may therefore have enduring impact. In this review, we integrate synaptic and circuit mechanisms, glial biology, sleep neurophysiology and epidemiology, to frame a hypothesis highlighting the implications of adolescent sleep disruption for the neural circuitry of the prefrontal cortex. Convergent evidence underscores the importance of acknowledging, quantifying and optimizing adolescent sleep's contributions to normative brain development and to lifelong mental health.

A protocol for applying health equity-informed implementation science models and frameworks to adapt a sleep intervention for adolescents at risk for suicidal thoughts and behaviors

Background

Effective and equitable strategies to prevent youth suicidal thoughts and behaviors (STB) are an urgent public health priority. Adolescent sleep disturbances are robustly linked to STB but are rarely addressed in preventive interventions or among Black and/or Hispanic/Latinx youth for whom STB risk is increasing disproportionately. This paper describes an application of health equity-informed implementation science models and frameworks to adapt and evaluate the evidence-based Transdiagnostic Sleep and Circadian (TSC) intervention for primary care implementation with adolescents of minoritized backgrounds with depression and STB risk.

Methods

This multiphase study protocol uses the Assessment, Decision, Adaptation, Production, Topical Experts-Integration, Training, Testing (ADAPT-ITT) model to adapt and evaluate TSC for primary care implementation with adolescents who are depressed, at risk for STB, and of primarily Black and/or Hispanic/Latinx backgrounds. We integrate the Consolidated Framework for Implementation Research (CFIR) in an initial qualitative inquiry of adolescent, caregiver, and clinician perceptions of TSC. Subsequent ADAPT-ITT phases include systematically and iteratively testing adaptations based on the qualitative inquiry, with ongoing key informant input, and then evaluating the adapted TSC for feasibility, acceptability, and efficacy in a pilot randomized trial.

Anticipated results

Based on youth depression and sleep health disparities research, we expect that TSC adaptations will be needed to enhance intervention content for adolescents with depression, STB risk, and primarily Black and/or Hispanic/Latinx backgrounds. We also anticipate adaptations will be needed to align TSC delivery methods with primary care implementation.

Conclusions

Adapting evidence-based interventions with end-users and contexts in mind can help ensure that intervention strategies and delivery methods are acceptable to, and feasible with, health disparate populations. Although TSC has shown effectiveness for adolescents with sleep disturbances, we expect that additional multiphase research is necessary to optimize TSC for primary care delivery with Black and/or Hispanic/Latinx adolescents with depression and STB risk.

Back to Basics: Lifestyle Interventions for Adolescent Depression

LEARNING OBJECTIVES

After completing this activity, practitioners will be better able to:• Discuss and better understand the recently adopted screening standards for adolescents with depression and the potential advantages of using "lifestyle medicine"• Set up a process for providing effective interventions for the increased number of patients with adolescent depression• Design or update their toolbox of treatment options for adolescents with depression based on the new literature and increased demand.

ABSTRACT

Recently adopted quality standards recommend that pediatricians screen adolescents for depression and that they document follow-up plans for those who screen positive. As a result of these new recommendations, pediatricians and other pediatric providers, as well as psychiatrists and other mental health professionals, may face an increasing number of referrals and a growing need for effective interventions for adolescent depression. Given the widely acknowledged scarcity of traditional mental health resources, the current study reviewed the rapidly expanding array of evidence-based, but nontraditional, interventions applicable to outpatient pediatric and mental health care settings. Many of these interventions come from a lifestyle medicine framework. Lifestyle medicine interventions are congruent with the cultures of pediatrics and outpatient psychiatry, and offer additional evidence-based tools for providers managing adolescent depression. These interventions can be implemented individually or within group or community settings, and may be used in conjunction with more common interventions such as psychotherapy or psychotropic medications.

Sleep to Internalizing Pathway in Young Adolescents (SIPYA): A proposed neurodevelopmental model

The prevalence of internalizing disorders, i.e., anxiety and depressive disorders, spikes in adolescence and has been increasing amongst adolescents despite the existence of evidence-based treatments, highlighting the need for advancing theories on how internalizing disorders emerge. The current review presents a theoretical model, called the Sleep to Internalizing Pathway in Young Adolescents (SIPYA) Model, to explain how risk factors, namely sleep-related problems (SRPs), are prospectively associated with internalizing disorders in adolescence. Specifically, SRPs during late childhood and early adolescence, around the initiation of pubertal development, contribute to the interruption of intrinsic brain networks dynamics, both within the default mode network and between the default mode network and other networks in the brain. This interruption leaves adolescents vulnerable to repetitive negative thought, such as worry or rumination, which then increases vulnerability to internalizing symptoms and disorders later in adolescence. Sleep-related behaviors are observable, modifiable, low-stigma, and beneficial beyond treating internalizing psychopathology, highlighting the intervention potential associated with understanding the neurodevelopmental impact of SRPs around the transition to adolescence. This review details support for the SIPYA Model, as well as gaps in the literature and future directions.

Sleep health and its related influencing factors in primary and middle school students in Fuzhou: A large multi-center cross-sectional study

Background

This current study set out to investigate the status of sleep health in 7–20-year-old students in Fuzhou and explore the related influencing factors of sleep health.

Methods

A total of 38,467 children and adolescents in Fuzhou were included in the study through a random stratified cluster sampling. Data were collected from May to June 2019, in 18 primary schools and 18 middle schools from nine districts, Fuzhou. Children's parents and adolescents of sampled classes were invited to fill out a series of questionnaires about the performance of the last 6 months (sociodemographic characteristics, sleep-related lifestyle behaviors, and electronic-products usage). Multiple linear regression was carried out to analyze data.

Results

Of the total 40,888 questionnaires we released, 38,467 were valid and effective with the response rate was 94.08%. The age of the surveyed participants was 11.85 ± 3.1, including 20,013 boys and 18,454 girls. The multiple linear regression analysis identified factors associated with sleep health (p < 0.05): Boy (coef = 0.073, 95% CI: 0.030–0.115), age (coef = 1.797, 95% CI: 0.224–0.243), key school (coef = 2.069, 95% CI: 0.105–0.193), urban (coef = 0.096, 95% CI: 0.054–0.139), excessive daytime sleepiness (coef = 0.535, 95% CI: 0.432–0.639), unhealthy sleep habits (coef = 0.363, 95% CI: 0.307–0.419), eating before sleep (coef = 0.578, 95% CI: 0.527–0.630), using electronic products in bedroom (coef = 0.074, 95% CI: 0.028–0.121), screen time per day during school (coef = 0.260, 95% CI: 0.235–0.284), frequency of using electronics 30 min before bedtime (coef = 0.150, 95% CI: 0.134–0.166), strained relationship with parents (coef = 0.361, 95% CI: 0.270–0.452), strained relationship with peers (coef = 0.267, 95% CI: 0.171–0.363), excessive homework or learning (coef = 0.189, 95% CI: 0.141–0.237), time for doing homework (coef = 0.266, 95% CI: 0.245–0.287), and mood swings frequently (coef = 1.174, 95% CI: 1.127–1.221) negatively impact sleep health. Sleep alone (coef = −0.204, 95% CI: −0.262–0.147) were the risk factors for sleep health. Furthermore, frequent mood swings was considered the most influential factor on overall variables.

Conclusions

Sleep health is associated with factors covered sociodemographic characteristics, family sleep habits, and routine activities before bedtime. Multiple measures should be taken to improve sleep quality in a targeted manner.

Device-measured sleep onset and duration in the development of depressive symptoms in adolescence

BACKGROUND

Sleep deprivation in adolescence is increasing in prevalence and may be linked to subsequent depression. Findings regarding associations between sleep duration, sleep onset time, and the development of depressive symptoms over time in adolescents are mixed, and rely on subjective measures of sleep.

METHODS

Sleep onset and duration were assessed using a combined heart rate monitor and accelerometer and self-report in 688 participants from the ROOTS study at age 15. Participants reported depressive symptoms at ages 14.5, 16, and 17.5, using the Mood and Feelings Questionnaire. Latent growth curve modelling was used to model development of depressive symptoms and test associations with baseline sleep onset and duration.

RESULTS

Cross-sectionally, falling asleep later and shorter sleep duration were both associated with higher depressive symptoms in males and females, using both device-measured and self-reported sleep. There were no longitudinal associations between baseline sleep duration and change in depressive symptoms. A later sleep onset-time was associated with a decrease in depressive symptoms over time, in females only, using device-measured sleep only.

LIMITATIONS

The current sample was more economically advantaged and ethnically white than the UK average, and with lower MFQ symptoms than the original cohort, which may reduce generalisability.

CONCLUSIONS

Adolescents who fall asleep later or sleep less have higher levels of depressive symptoms cross-sectionally, but do not show increases in depressive symptoms over time. Interventions targeting sleep onset and duration in adolescence may improve mental health in the short-term but the possibility of reverse causality should be explored further.

Sleep’s role in the development and resolution of adolescent depression

Two adolescent mental health fields — sleep and depression — have advanced largely in parallel until about four years ago. Although sleep problems have been thought to be a symptom of adolescent depression, emerging evidence suggests that sleep difficulties arise before depression does. In this Review, we describe how the combination of adolescent sleep biology and psychology uniquely predispose adolescents to develop depression. We describe multiple pathways and contributors, including a delayed circadian rhythm, restricted sleep duration and greater opportunity for repetitive negative thinking while waiting for sleep. We match each contributor with evidence-based sleep interventions, including bright light therapy, exogenous melatonin and cognitive-behaviour therapy techniques. Such treatments improve sleep and alleviate depression symptoms, highlighting the utility of sleep treatment for comorbid disorders experienced by adolescents.

Sleep problems are both a symptom and precursor of adolescent depression. In this Review, Gradisar et al. describe how the combination of adolescent sleep biology and psychology predisposes adolescents to develop depression, and describe interventions that improve sleep and depression symptoms in this population.