The complex role of sleep in adolescent depression

Emotional Dysregulation and Sleep Problems: A Transdiagnostic Approach in Youth

BACKGROUND

Sleep is a complex phenomenon that affects several aspects of life, including cognitive functioning, emotional regulation, and overall well-being. Sleep disturbances, especially during adolescence, can negatively impact emotional regulation, making it a critical factor in targeting psychopathology.

METHODS

This study explores the interplay between emotional dysregulation (ED) and sleep patterns in a sample of 90 adolescent patients by means of self- and parent-rated clinical measures.

RESULTS

Our findings reveal a bidirectional relationship between ED and sleep problems. Adolescents with higher affective instability experience poorer sleep quality, while those with worse sleep quality exhibit higher internalizing problems. Additionally, emotional reactivity is associated with disrupted circadian rhythms.

CONCLUSIONS

These results emphasize the significance of addressing sleep problems in the context of psychopathology treatment, potentially leading to improved outcomes. Further research is needed to determine the most effective treatment strategies, including nonpharmacological and pharmacological interventions. Understanding the intricate relationship between sleep problems and emotion regulation offers insights for more targeted and effective treatment approaches for youths struggling with ED.

Associations Among Sleep, Emotional Eating, and Body Dissatisfaction in Adolescents

The literature on adolescent sleep has shown a bidirectional relationship between sleep difficulties and altered eating habits, including emotional eating. However, it is unclear if this relationship is related to preexisting body concerns, or if poor sleep is the prime contributor to emotional eating patterns. This study therefore seeks to examine body dissatisfaction as a moderator of the sleep-emotional eating relationship in an at-risk sample. Adolescents (N = 106) presenting for overnight polysomnography self-reported on time-in-bed, insomnia, body dissatisfaction, and emotional eating. Less time-in-bed was correlated with a greater desire for thinness and greater insomnia severity was related to overall emotional eating and eating in response to anxiety, anger, and frustration and in response to depression. Moderation analyses revealed that the relationships between time-in-bed and eating in response to feeling unsettled (b =  -.002, 95% CI[- .003,  - .001], p < .005) and eating in response to anxiety, anger, and frustration (b =  -.01, 95% CI[- .01,  - .001], p < .05) were exacerbated by worse body dissatisfaction. Optimizing sleep may attenuate the risk for disordered eating, particularly for adolescents with high body dissatisfaction.

Adolescents' interactive electronic device use, sleep and mental health: a systematic review of prospective studies

Optimal sleep, both in terms of duration and quality, is important for adolescent health. However, young people's sleeping habits have worsened over recent years. Access to and use of interactive electronic devices (e.g., smartphones, tablets, portable gaming devices) and social media have become deep-rooted elements of adolescents' lives and are associated with poor sleep. Additionally, there is evidence of increases in poor mental health and well-being disorders in adolescents; further linked to poor sleep. This review aimed to summarise the longitudinal and experimental evidence of the impact of device use on adolescents' sleep and subsequent mental health. Nine electronic bibliographical databases were searched for this narrative systematic review in October 2022. Of 5779 identified unique records, 28 studies were selected for inclusion. A total of 26 studies examined the direct link between device use and sleep outcomes, and four reported the indirect link between device use and mental health, with sleep as a mediator. The methodological quality of the studies was generally poor. Results demonstrated that adverse implications of device use (i.e., overuse, problematic use, telepressure, and cyber-victimisation) impacted sleep quality and duration; however, relationships with other types of device use were unclear. A small but consistent body of evidence showed sleep mediates the relationship between device use and mental health and well-being in adolescents. Increasing our understanding of the complexities of device use, sleep, and mental health in adolescents are important contributions to the development of future interventions and guidelines to prevent or increase resilience to cyber-bullying and ensure adequate sleep.

Parental drinking, mental health and educational level, and offspring's subsequent prescription drugs treatment for sleep problems. A longitudinal HUNT survey and registry study

BACKGROUND

Parental drinking, mental health and family socioeconomic status are all associated with offspring sleep problems, but there is a paucity of research that considers the effect of risk factors, as they co-occur within and across families. Also, sleep problems are closely linked with mental health problems. Disentangling the effects on one or the other are important. We examined whether parental risk constellations are differently associated with offspring's subsequent prescription drug use for sleep problems during nine years with or without prescription drug use for anxiety and/or depression.

METHODS

The sample included 8773 adolescent offspring of 6696 two-parent families who participated in the Nord-Trøndelag Health Study in Norway. The exposures were five parental risk constellations, previously identified via Latent Profile Analysis, characterized by drinking frequencies and quantities, mental health, and years of education. The outcomes were dispensed prescription drugs in offspring during 2008-2016 for (a) only sleep problems (b) sleep problems and anxiety/depression or (c) only anxiety/depression. We used multinomial logistic regression to model the odds of the outcomes.

RESULTS

Compared to the overall low-risk parental constellation, none of the risky constellations were significantly associated with increased risk of being dispensed prescription drugs only for sleep problems. Offspring from two different risk profiles were at increased risk for being dispensed both sleep and anxiety/depression prescription drugs. These were parental profiles marked by (1) low education, symptoms of mental health problems and weekly binge drinking in both parents (OR 1.90, CI = 1.06;3.42); and (2) frequent heavy drinking in both parents and symptoms of mental health problems in fathers (OR 3.32, CI = 1.49;7.39). Offspring from the risk profile with lowest parental education had increased risk of only anxiety/depression prescription drugs (OR 1.25, CI = 1.05;1.49).

CONCLUSION

Our findings suggest that parental risk constellations are not associated with increased risk of offspring receiving sleep medications without also receiving anxiety/depression medications, as two risk constellations were associated with increased risk of dispensation of both sleep and anxiety/depression prescription drugs. Receiving both may be an indication of severity. The findings underscore the importance of including measures of mental health problems when investigating sleep problems to avoid misattribution of effects.

Correlation Between Chronotypes and Depressive Symptoms Mediated by Sleep Quality Among Chinese College Students During the COVID-19 Pandemic

Purpose

The COVID-19 pandemic has adversely impacted the mental health of the population. The current study aimed to determine the prevalence of depressive symptoms and sleep disturbances among Chinese college students during the COVID-19 pandemic and investigate the correlations between chronotypes, sleep quality, and depressive symptoms.

Participants and Methods

In the current study, 2526 college students responded anonymously to an online questionnaire survey from 26 May 2020 to 20 July 2020. The participants' chronotypes, sleep quality, and depressive symptoms were evaluated using the Chinese version of the Morning and Evening Questionnaire-5 (MEQ-5), Pittsburgh Sleep Quality Index (PSQI), and Patient Health Questionnaire-9 (PHQ-9). Sociodemographic information of the participants was also acquired. Statistical analyses were performed using Statistical Package for Social Sciences (SPSS) 19.0 software, with the mediating effect assessed by Hayes' PROCESS Macro.

Results

During the COVID-19 pandemic, the prevalence of depressive symptoms and sleep disturbances among Chinese college students surveyed was 54.95% and 48.18%, respectively. From absolute evening chronotype to absolute morning chronotype, the surveyed college students' chronotypes were negatively correlated with their depressive symptoms. Moreover, the mediation analysis showed that the correlation between chronotypes and depressive symptoms was fully mediated by sleep quality. Eveningness college students with poorer sleep quality were more likely to report higher levels of depressive symptoms.

Conclusion

Our findings suggest that during the COVID-19 pandemic, delayed circadian preference (ie, eveningness) may be linked to worse depressive symptoms among Chinese college students, and call for more attention to the sleep quality of Chinese college students as sleep quality fully mediated the correlation between chronotypes and depressive symptoms among them. Reasonable adjustment in bedtime/circadian preference and improvement in sleep quality may help to reduce the prevalence and severity of depressive symptoms among Chinese college students.

Family resilience and neighborhood factors affect the association between digital media use and mental health among children: does sleep mediate the association?

The associations between digital media use and mental well-being among children and adolescents have been inconclusive. We examined (i) the associations between digital media use and mental health outcomes, anxiety, depression, and ADHD, (ii) whether family resilience and neighborhood factors attenuate the associations, and (iii) whether sleep mediates these associations. We used the National Survey of Children's Health data from 2019 to 2020. A total of 45,989 children's (6-17 years) data were analyzed in this study. Multivariate logistic regression was used to assess the associations between digital media use and anxiety, depression, and ADHD. Path models and Paramed command in STATA were used to test the role of sleep as a mediator of these associations. The prevalence of heavy digital media users (who spent 4 or more hours per day) among the analytic sample was 30.52%, whereas anxiety was 13.81%, depression was 5.93%, and ADHD was 12.41%. Children in the heavy media user group had 63% increased odds of anxiety (95% CI: 1.32-2.01) and 99% increased odds of depression (95% CI: 1.35-2.94) after adjusting for sociodemographic factors, compared to the children in light media user group (who spent < 2 h per day), and these relations were significant at 0.01 level. However, family resilience and community factors significantly attenuated the effect of digital media use on anxiety and depression. Sleep did not mediate the associations between digital media use and anxiety or depression.   Conclusions: Family resilience and neighborhood factors protect against the harmful effects of digital media use. Further research is needed to examine the relationships of media contents, the presence of electronic devices in bedrooms, and sleep quality with mental health. What is Known: • Spending long hours on digital media may adversely affect children and adolescents' health and development. However, the mediating role of sleep in the association between digital media use and mental health outcomes is inconclusive. What is New: • Digital media use has detrimental effects on anxiety and depression. However, family resilience and neighborhood factors attenuated the association. The study highlights the importance of positive family functioning and neighborhood conditions reducing the harmful effects of digital media use.

The associations between body dissatisfaction, exercise intensity, sleep quality, and depression in university students in southern China

Background

In recent years, depression in early adulthood has become an urgent global public health concern. The university years mark a transitional period from adolescence to adulthood. Young people are required to face academic and life pressures independently, which increases the risk of mental health problems in university.

Purpose

The main goal of the current study was to explore the sex differences in depression, body dissatisfaction, sleep quality, and exercise intensity among university students in southern China and to analyze the factors affecting the level of depression among university students.

Methods

In total, 1,258 university students aged 18-23 years were recruited for this study. All participants completed anthropometric measurements, the Self-rating Depression Scale, Physical Activity Rating Scale, and Pittsburgh Sleep Quality Index. Body dissatisfaction levels were measured using sex-appropriate silhouettes.

Results

Compared with young women, young men had higher exercise intensity and sleep quality, whereas young women's body dissatisfaction and depression levels were significantly higher than those of young men. Sleep quality score (β = 0.34, p < 0.01), sex (β = 0.15, p < 0.01), physical activity score (β = -0.14, p < 0.01), and body dissatisfaction (β = 0.14, p < 0.01) were significant predictive factors of the Self-rating Depression Scale score.

Conclusion

Low levels of physical dissatisfaction have a positive effect on depression, and high levels of physical activity and quality sleep can also improve depressive symptoms. At the same time, increasing body satisfaction has the effect of increasing physical activity and improving sleep quality. Therefore, there is great potential to prevent and ameliorate depression by reducing body dissatisfaction.

Associations between dietary intake, diet quality and depressive symptoms in youth: A systematic review of observational studies

Background: Depression is the third leading cause of worldwide disease burden among youth, and nutrition- and diet-related behaviors have been considered as an effective strategy for reducing the risk of depressive symptoms. This systematic review aims to examine associations between dietary intake and diet quality with depressive symptoms among youth. Methods: In this systematic review, a search of scientific articles published between 2000 and 2021 was performed in four databases (CINAHL, Embase, PsycInfo, and PubMed) according to the PRISMA checklist. After applying inclusion and exclusion criteria, observational studies that focused on associations between micronutrient, macronutrient, food group intake, and diet quality and depressive symptoms among youth, ages 3 to 18, were selected for review. Results: Thirty-two articles met the review criteria. Dietary intake of magnesium, vitamin B12, fiber, fruits, vegetables, and fish were consistently inversely related to depressive symptoms. However, the evidence of associations between intake of vitamins B6, C, D, and E, iron, copper, zinc, omega-3 fatty acids, carbohydrate, and dietary fat and depressive symptoms was mixed. Dietary effects on decreased depressive symptoms were more pronounced in children than adolescents. Additionally, most studies failed to adjust for potential confounding variables. Conclusion: This review provides preliminary and comprehensive evidence for a relationship between dietary intake, diet quality, and depressive symptoms in youth. Although the results are heterogeneous and more research is needed, our findings indicate the importance of nutrition interventions for youth for decreasing depressive symptoms or for preventing further symptom exacerbation.

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.

Association between poor sleep for infants to two years and subsequent mental health symptoms: A systematic review and meta-analysis

Sleep plays a complex bidirectional role in the life span of most mental health illness. How soon poor sleep becomes an indicator of future mental illness is unknown. Infant sleep is a complex concept which can impact greatly on both baby and family well-being. Thus, a systematic review and meta-analysis were conducted to investigate whether poor infant sleep to age two is associated with future mental health symptoms. A systematic search of Medline, Embase, CINAHL, PsycINFO, Web of Science and Cochrane was conducted, using PRISMA guidelines. The search resulted in 17 articles to include in this review. A combined adjusted odds ratios of 1.65 (95% CI = 1.34, 2.05) for infant sleep problems leading to subsequent mental health symptoms resulted. A variety of outcome measures for both poor infant sleep and mental health symptoms/diagnosis were used, limiting the generalisability of results. Poor sleep in infancy should be considered one of many risk factors for future mental health disorder signifying the importance of early intervention.

Sleep Duration and Internalizing Symptoms in Children

OBJECTIVE

Emotional problems such as anxiety and low mood have been associated with sleep problems in children. The study's objectives were to 1) assess the association between sleep duration and internalizing symptoms (anxiety and low mood) in children aged 5-12 years (y), and 2) evaluate whether insufficient sleep according to the National Sleep Foundation (NSF) guidelines is associated with internalizing symptoms.

METHODS

A cross-sectional study of N =796 children aged 5-12y, recruited from primary care physicians' offices in Toronto, Canada was conducted through the TARGet Kids! research network. Using linear regression, we investigated 1) the cross-sectional association between parent reported 24-hour sleep duration (hours) and parent reported symptoms using the Strengths and Difficulties Questionnaire (SDQ), controlling for child age, sex, family income, maternal education, family composition, and standardized body-mass index (zBMI). The analysis was repeated using insufficient sleep per NSF guideline as the independent variable.

RESULTS

Sleep duration was inversely associated with internalizing symptoms, B estimate = -0.33 (95%CI -0.57, -0.07), p=0.012. Twenty-eight (14%) children aged 5 y, and 36 (6%) of those aged 6-12y, experienced insufficient sleep. There was a trend toward association between insufficient sleep and internalizing symptoms, B estimate = 0.64 (-0.09, 1.38), p=0.086.

CONCLUSION

The relationship between insufficient sleep and internalizing symptoms among children requires further elucidation. Children who show internalizing symptoms may benefit from interventions supporting sleep.

Impact of Covid-19 lockdown on the emotional health of schoolchildren in an urban Indian setting

Background Public health measures taken to prevent the spread of the Covid-19 pandemic can potentially impact the mental health of children. We assessed the prevalence and risk factors for childhood depression during the Covid-19 lockdown. Methods After 100 days of lockdown, we sent a survey questionnaire by WhatsApp to parents of school-aged children (5-16 years) in Chennai. The Short Mood and Feelings questionnaire was used as an objective screening tool to assess depression, with a score of 12 as the cut-off. Results There were 874 responses. The prevalence of childhood depression was 13.7%. Girls were more likely to be depressed than boys; 11-16-year-olds were more likely to be depressed than 5-10-year-old children. Children who had more than 4 hours online education had a higher likelihood of depression. Those who used a cell phone for online classes had a higher likelihood of depression compared to other devices, such as tabs or laptops. Children who slept less than 8 hours a day had a higher likelihood of depression while those who either did not sleep in the afternoon or slept less than 1 hour had a lower likelihood of depression. Children who were interacting with family over 1 hour per day had a lower likelihood of depression. Conclusion Overzealous online education, lack of adequate sleep and failure to spend quality time with the family can negatively impact the mental health of children. The impact of Covid-19 on the emotional health of children should be addressed by public health policy-makers and healthcare professionals.

Depressive Symptoms Among Adolescents in Bangladesh

Adolescent mental well-being hardly took precedence in Bangladesh, which is reflected in both policies and literature. This study assessed the common symptoms of depression among school-going adolescents (aged 10–19 years) in Bangladesh. Primary data were collected during October–November 2019 from 289 participants in four schools using a questionnaire based on the WHO global school-based student health survey and WHO stepwise approach to NCD (Tools version 9.5). Sadness (45.3%) and aggression (40.5%) were the most common depressive symptoms found in the study, followed by confusion (27.7%), worthlessness (21.8%), fatigue (21.5%), and insomnia (18.0%). The sex of the student, grade of study, and duration of daily sleep showed differential associations with these symptoms. These findings indicate a crucial stage of adolescence, where the different societal pressures often ignored by primary carers, could have detrimental effect on children. There is an urgent need to address the growing adolescent mental health issue in Bangladesh and a need for health system to recognize its precedence.

Graph Theory Analysis of the Cortical Functional Network During Sleep in Patients With Depression

Depression, a common mental illness that seriously affects the psychological health of patients, is also thought to be associated with abnormal brain functional connectivity. This study aimed to explore the differences in the sleep-state functional network topology in depressed patients. A total of 25 healthy participants and 26 depressed patients underwent overnight 16-channel electroencephalography (EEG) examination. The cortical networks were constructed by using functional connectivity metrics of participants based on the weighted phase lag index (WPLI) between the EEG signals. The results indicated that depressed patients exhibited higher global efficiency and node strength than healthy participants. Furthermore, the depressed group indicated right-lateralization in the δ band. The top 30% of connectivity in both groups were shown in undirected connectivity graphs, revealing the distinct link patterns between the depressed and control groups. Links between the hemispheres were noted in the patient group, while the links in the control group were only observed within each hemisphere, and there were many long-range links inside the hemisphere. The altered sleep-state functional network topology in depressed patients may provide clues for a better understanding of the depression pathology. Overall, functional network topology may become a powerful tool for the diagnosis of depression.

Movement behaviors and their association with depressive symptoms in Brazilian adolescents: A cross-sectional study

BACKGROUND

Physical activity, sleep, and sedentary behaviors compose 24-h movement behaviors and have been independently associated with depressive symptoms. However, it is not clear whether it is the movement behavior itself or other contextual factors that are related to depressive symptoms. The objective of the present study was to examine the associations between self-reported and accelerometer-measured movement behaviors and depressive symptoms in adolescents.

METHODS

Cross-sectional data from 610 adolescents (14-18 years old) were used. Adolescents answered questions from the Center for Epidemiological Studies Depression scale and reported time spent watching videos, playing videogames, using social media, time spent in various physical activities, and daytime sleepiness. Wrist-worn accelerometers were used to measure sleep duration, sleep efficiency, sedentary time, and physical activity. Mixed-effects logistic regressions were used.

RESULTS

Almost half of the adolescents (48%) were classified as being at high risk for depression (score ≥20). No significant associations were found between depressive symptoms and accelerometer-measured movement behaviors, self-reported non-sport physical activity, watching videos, and playing videogames. However, higher levels of self-reported total physical activity (odd ratio (OR) = 0.92, 95% confidence interval (95%CI): 0.86-0.98) and volume of sports (OR = 0.88, 95%CI: 0.79-0.97), in minutes, were associated with a lower risk of depression, while using social media for either 2.0-3.9 h/day (OR = 1.77, 95%CI: 1.58-2.70) or >3.9 h/day (OR = 1.67, 95%CI: 1.10-2.54), as well as higher levels of daytime sleepiness (OR = 1.17, 95%CI: 1.12-1.22), were associated with a higher risk of depression.

CONCLUSION

What adolescents do when they are active or sedentary may be more important than the time spent in the movement behaviors because it relates to depressive symptoms. Targeting daytime sleepiness, promoting sports, and limiting social media use may benefit adolescents.

Sleep Moderates Improvements in Mental Health Outcomes in Youth: Building Resilience for Healthy Kids

PURPOSE

To examine the role of sleep in a school-based resiliency intervention.

DESIGN

Single group feasibility study.

SETTING

Urban middle school Subjects: Sixth grade students Intervention: A total of 285, 11-12-year-old students (70% White, 18% Hispanic, 55% female) participated in the six-week 1:1 Healthy Kids intervention. Youth (n=248) completed electronic surveys at pre-post the 6-week study assessing mental health parameters and self-reported bed and wake time.

MEASURES

Students were categorized as having insufficient sleep opportunity if they reported time in bed of <9 hours per night.

ANALYSIS

General linear models examined differences between groups for each mental health parameters pre-post study.

RESULTS

A third of participants (28%) were classified as having insufficient sleep opportunity. Youth with insufficient sleep were more often Hispanic (27% vs 16%; p<0.001) and were more often classified with both mild to severe depression and anxiety symptoms (55% vs 35%; p=0.004). The health coaching intervention was found to have a significant improvement on overall resilience and self-efficacy only among students who reported sufficient sleep, while no significant intervention effect was found for those students who reported insufficient sleep.

CONCLUSIONS

Our findings suggest that youth with poor sleep health may not benefit from school-based resiliency interventions.

The relationship between sleep and depression and bipolar disorder in children and young people

BACKGROUND

Sleep difficulties are often reported in practice, and are part of the diagnostic criteria for depression and bipolar disorder.

AIMS

To inform the understanding of the relationship between sleep and both depression and bipolar disorder.

METHOD

We conducted a narrative literature review of affective disorders and sleep difficulties in children and young people.

RESULTS

Specific sleep disorders, such as parasomnias, narcolepsy and sleep-related movement disorders, are associated with depression, whereas insomnia, obstructive sleep apnoea and circadian rhythm disorders are associated with both depression and bipolar disorder in children and young people. Conversely, children and young people with depression can present with a number of sleep difficulties, and these are associated with higher depression severity and greater fatigue, suicidal ideation, physical complaints, pain and decreased concentration. Sleep disturbances among adolescents with bipolar disorder can affect the severity of depressive and manic symptoms, are a poor prognostic indicator and have been associated with social and academic impairment. Antidepressants and antipsychotics can directly affect sleep architecture, which clinicians need to be aware of. Non-pharmacological interventions for sleep problems could prevent and/or minimise the risk of relapse in affective disorders.

CONCLUSIONS

Sleep difficulties can occur before, during and after an episode of depression or bipolar disorder, and have a higher prevalence in affective disorders compared with the general population. A multi-modal approach would include the treatment of both the affective and specific sleep disorder. Further research is needed in this field to understand the impact of combined interventions on clinical outcomes.

Possible Effects of Bright Light Therapy on Electroencephalogram-Vigilance in the Treatment of Depression in Adolescents: A Pilot Study

BACKGROUND

Chronotherapeutic treatments for depression, such as bright light therapy (BLT), are non-invasive and produce almost no side effects. However, study evidence for reliable neurobiological changes associated with treatment response is still rare. Several studies using EEG-vigilance indicate higher arousal and a later decline during resting state in adult depressive patients compared to healthy controls. To our knowledge, there are no study reports on EEG-vigilance in depressive youth to date.

METHODS

A total of 11 adolescents with depression receiving BLT were compared to 11 age and gender-matched patients with depression receiving treatment as usual (TAU). The BLT was administered in the morning for 2 weeks on five consecutive days per week. The depressive symptomatology was assessed using the Beck Depression Inventory (BDI-II) and the resting state electroencephalogram (EEG) of 20 min was recorded. EEG and BDI-II were assessed before and after 10 days of treatment. Vigilance level and vigilance decline were estimated using the VIGALL toolbox.

RESULTS

Brain arousal increased after 10 days of bright light therapy in adolescents with depression. Severe depressive symptoms were associated with higher brain arousal levels; the BDI-II sum score correlated negatively with the amount of drowsiness.

LIMITATIONS

The sample size was small and participants' brain arousal at baseline was not matched and differed between BLT and TAU groups.

CONCLUSION

The BLT might have an additional effect on brain arousal. EEG-vigilance seems to be a reliable and valid marker for neurobiological changes that are probably associated with depression and its treatment and, therefore, might be of clinical relevance.

Trends in admissions to a child and adolescent neuropsychiatric inpatient unit in the 2007-2017 decade: how contemporary neuropsychiatry is changing in Northwestern Italy

PURPOSE

Rising levels of psychopathology in the adolescent population have been evidenced in the last few years throughout the Western world. We aim to examine how contemporary neuropsychiatry is changing in Northwestern Italy and how this impacts inpatient services.

METHODS

The present research considered the 1177 admissions to a public neuropsychiatric inpatient service in the 2007-2017 decade. The annual percentual change (APC) was analysed for the total admissions, the number of the neurological vs psychiatric admissions, the length of inpatient stay, and the mean age at admission, also accounting for sex differences. The annual trend was also calculated for each diagnosis.

RESULTS

The overall number of inpatient admissions decreased significantly (APC = - 5.91), in particular for children under 12 years of age (APC = - 7.23). The rate of neurologic diagnoses significantly decreased (APC = - 26.44), while the length of the inpatient stay (APC = 6.98) and the mean age at admission (APC = 6.69) increased. Among the psychiatric diagnoses, depression significantly rose (APC = 41.89), in particular among female adolescents (APC = 40.30).

CONCLUSIONS

These data document a substantial change in the utilization of inpatient neuropsychiatric services for children and adolescents, with a major increase in psychiatric hospitalizations and a parallel decrease in neurological ones. These trends call for greater attention to early preventive intervention in mental healthcare system.

Geographical variations in the association between bullying victimization and sleep loss among adolescents: a population-based study of 91 countries

OBJECTIVE

To examine geographical variations in the association between bullying victimization and sleep loss over worry among adolescents.

METHODS

We used data from the Global School-based Student Health Survey conducted between 2003 and 2017 in 91 countries across the globe. Sleep loss was categorised as: none/minimum (reported never or rarely sleep loss), moderate (reported sometimes), and severe (reported most of the time or always). We obtained country-specific estimates from multiple multinomial logistic regression analyses and pooled estimates from meta-analyses.

RESULTS

Of 282,036 adolescents 13-17 years of age, 28.1% (male: 25.4%, female: 31.0%) and 8.4% (male: 7.3%, female: 9.5%) of adolescents reported moderate and severe sleep loss respectively. Adolescents who frequently experienced bullying (≥3 per 30 days) reported higher prevalence of severe sleep loss. Meta-analyses showed that increased frequency of bullying victimization is associated with increased odds of sleep loss, with adolescents who experienced bullying for ≥3 days in the past 30 days were 1.65 and 2.65 times more likely than adolescents without being bullied to experience respectively moderate (OR 1.65, 95% CI: 1.59-1.72) and severe (OR 2.65, 95% CI: 2.52-2.79) sleep loss. Irrespective of sex, the association between bullying victimization and sleep loss was significant in all regions, income groups, and in all but a few countries.

CONCLUSIONS

Increased frequency of bullying victimization is positively associated with increased sleep loss among adolescents. Appropriate policies and programmes to stop bullying at school could help downgrade the risk of sleep loss among adolescents.

Adolescent sleep health and school start times: Setting the research agenda for California and beyond: A research summit summary: A research summit summary

In fall 2019, California passed and signed into law SB328, the first US statewide legislation explicitly designed to protect adolescent sleep health by requiring most California public school districts to start no earlier than 8:00 AM for middle schools and 8:30 AM for high schools. Recognizing the unique opportunity presented by the bill's 3-year implementation period, a group of experts in adolescent sleep and school start times held a virtual summit on January 22-23, 2021 to (1) summarize the research on adolescent sleep and school start time change; (2) develop recommendations for relevant, refined, and innovative research areas and research questions; (3) provide input regarding research design, methodology, and implementation; and (4) offer a forum for networking, exchanging ideas, and establishing interdisciplinary research collaborations. Participants represented a multidisciplinary range of academic backgrounds including sleep and circadian biology, neuroscience, education, medicine, public health, mental health, safety, public policy, economics, implementation science, criminology, diversity studies, and science communication. This paper summarizes summit presentations regarding current knowledge on adolescent sleep health and school start times and key research recommendations from small group workshops on topics including research design and tools, methodological issues, sleep health disparities, logistical challenges in conducting school-based research, public-health impact, and novel and expanded approaches to research.

Chronic sleep deprivation in teenagers: Practical ways to help

Teenagers of today sleep less than previous generations. Technology is largely to blame for keeping people perpetually connected in the digital world which is in turn driven by changing social demands for immediacy as a form of intimacy. The consequences for teenagers are later bed times, reduced total sleep time and a degree of sleep catch up on weekends. This is termed chronic sleep deprivation or "social jetlag". The consequences of chronic sleep deprivation are underappreciated in the medical setting. They include altered mood, more somatic and psychological symptomatology, greater anxiety, more school absenteeism, reduced educational results and compromised vocational aspirations. Engagement with reluctant teenagers and their parents may be challenging and at times frustrating for all concerned. Much of the art of improving outcomes involves developing a rapport with the teenager, assisting them to gain insight into the problems associated with chronic sleep deficiency and fostering commitment from all family members to implement unpopular boundaries on the use of technology.

The experience of sleep problems for adolescents with depression in short-term psychological therapy

A growing body of literature demonstrates a strong relationship between sleep disturbances and depression in adolescence. In spite of this, few studies have explored how adolescents with depression experience sleep problems. The present study aimed to qualitatively explore the experience of sleep problems in adolescents with depression, including their understanding of how a psychological therapy impacted on these sleep difficulties. The sample included 12 adolescents with sleep disturbances who had been offered treatment for depression through a large, multi-centre, randomised controlled trial. Semi-structured interviews conducted after treatment and 1-year post treatment were analysed using thematic analysis. Two main themes were identified. Both themes demonstrated how an overarching desire to escape impacted the adolescents' sleep in distinct ways; 'thinking about the 'bad stuff'' was characterised by ruminative thinking, which prevented sleep, whereas 'sleep as an escape' indicated a desire to sleep excessively due to feelings of helplessness. Overall, the findings demonstrate a nuanced relationship between sleep and depression in adolescence, and imply that the underlying meaning of the sleep difficulties for each young person should be considered in the delivery of therapy for adolescent depression.

Investigating Viewership of Season 3 of "13 Reasons Why" and the Mental Wellness of Adolescents: Partially Randomized Preference Trial

BACKGROUND

A conflicting body of research suggests that additional investigation is needed to understand how globally watched television shows featuring social and mental health issues, such as 13 Reasons Why, might affect adolescents' mental wellness.

OBJECTIVE

This study aims to investigate adolescents' viewership of the third season of the Netflix drama 13 Reasons Why (13RW-3) and their engagement with show-related content, paying special attention to mental health outcomes and conversational partners.

METHODS

A panel-based research platform operated by the National Opinion Research Center at the University of Chicago recruited 157 adolescents aged 13 to 17 years from its nationally representative pool of participants. Participants answered questions about how they discussed and learned about social and mental health issues portrayed in 13RW-3 (eg, masculine role pressure and sexual assault) and questions about mental wellness (eg, mental health self-efficacy and depression). After the participants completed the survey (T1), they were directed to either watch 13RW-3 as it aired for the first time (intervention group) or not watch 13RW-3 (control group). Approximately one month later (T2), all the participants were asked to complete the postsurvey. Additional survey questions about conversational partners, information seeking because of watching the show, and use of show-related content were included in the intervention postsurvey.

RESULTS

Our sample (N=157) was 52.2% (n=82) female and 54.8% (n=86) White, with a mean age of 14.99 (SD 1.4) years. At T2, viewers of 13RW-3 spoke about suicide significantly more frequently than nonviewers (P=.007). From T1 to T2, viewers increasingly discussed issues explored by 13RW-3 (P=.002), especially suicide, mental health, and bullying. Adolescent viewers were most likely to speak with friends, and parents were the second most commonly named. Two variables emerged as consistent moderators of conversational choices-having depressive symptoms and being impacted by sexual assault. There was no association between conversational frequency and information seeking around social and mental health issues, and neither mental health self-efficacy scores nor masculine role pressure scores significantly differed between viewers and nonviewers at T2.

CONCLUSIONS

Viewing 13RW-3, a globally watched television show featuring social and mental health issues, led to adolescent conversations and information searches about topics explored by the show. Depressive symptoms and the impact of sexual assault moderated several relationships, guiding participants toward engaging with certain issues and seeking out specific conversational partners. As 13RW-3's stories drove conversations-and story-driven conversations can raise awareness, reduce stigma, shift attitudes, normalize certain behaviors, and strengthen supportive relationships-potential wellness implications for television shows featuring social and mental health issues are considerable.

Bullying Involvement in Adolescence: Implications for Sleep, Mental Health, and Academic Outcomes

Adolescents' involvement in bullying is associated with both sleep and mental health problems, but the nature of this association remains unclear; further, its association with academic outcomes has received little attention. Thus, the aims of the current study were to (a) determine whether involvement in bullying as a victim, bully, or bully-victim was associated with greater sleep and mental health problems and (b) explore the potential mediating effect of sleep and mental health problems on the association between bullying and academic outcomes. A large 2012 population-based study in Hordaland County, Norway, surveyed 10,220 adolescents (16-19 years; 54% girls) about bullying involvement using the revised version of the Olweus Bully/Victim Questionnaire, detailed sleep assessment, and mental health questionnaires. Academic outcomes were obtained from official administrative registries. 1.7% of the adolescents (n = 156) reported being victims of bullying, 1.0% (n = 92) reported being a bully, and 0.5% (n = 50) reported being a bully-victim. All categories of bullying involvement had higher rates of mental health problems compared with adolescents not involved in bullying. Victims reported more symptoms of anxiety and depression, whereas bullies reported higher rates of conduct problems. Adolescents in all bullying categories also reported significantly shorter sleep duration and higher prevalence of insomnia as well as lower grade point average (GPA) compared with adolescents not involved; however, school absence was not associated with bullying involvement. Bullying involvement and GPA showed complete mediation for bullies and bully-victims and partial mediation for victims through sleep duration, conduct problems, and symptoms of depression and attention deficit hyperactivity disorder (ADHD). Bullying is strongly associated with mental health and sleep problems, in addition to lower academic performance. Findings support the importance of addressing bullying involvement during this important developmental period.

Promoting Sleep and Balanced Screen Time among School-Aged Children with Neurodevelopmental and Mental Health Disorders: A Parent Perspective

Background: Children with neurodevelopmental and mental health disorders (N/MHD), such as autism spectrum, mood disorders, and anxiety, are more likely to engage in excessive screen time, receive insufficient sleep, and to have obesity than neurotypical peers. However, little is known about how parents of these children approach promoting sleep and balanced screen time. Methods: We conducted semistructured interviews with 24 parents of children aged 8-15 years with a diagnosis of N/MHD to assess barriers and facilitators to promoting sleep and balanced screen time. Interviews were transcribed, double-coded using constant comparative methods, and summarized into themes using NVivo 11. Results: Many parents described children's chronic sleep challenges, often compounded by screen use and no clear solutions. When feeling overwhelmed, some parents reluctantly reported co-sleeping or allowing gaming devices in bed. Nearly all participants reported chronic, occasionally severe, conflict when managing children's screen time, with some parents experiencing opposition and physical aggression. Parents struggled to weigh the benefits of screen use (i.e., behavior management, learning, and social connection) with the costs (i.e., reduced self-care and limited physical activity). To combat barriers, parents described firm routines (i.e., "screens off" time and consistent bedtime on weekdays and weekends), moderating access (i.e., shutting down internet and no device in bedroom), verbal priming, and coping strategies (i.e., music and books). Conclusions: Parents of children with N/MHD face unique challenges in promoting sleep and balanced screen time. Given these behaviors may impact weight status and mental health, future interventions should examine ways to support parents in reducing conflict while promoting healthy habits.

Sleep duration does not mediate the association between screen time and adolescent depression and anxiety: findings from the 2018 National Survey of Children's Health

OBJECTIVE/BACKGROUND

Adolescence is a crucial time period in which individuals are at high risk for depression and anxiety. Associations between screen time and adolescent depression and anxiety have been inconclusive. We examined 1) the associations of screen time with adolescent depression and anxiety and 2) whether sleep duration mediates these relationships.

METHODS

This study utilized data from the 2018 US. National Survey of Children's Health, a large cross-sectional population representative dataset with parent/caregiver responses. Multivariable logistic regression was used to estimate the associations between screen time and depression and anxiety in separate models. Path models were used to test the mediating role of sleep duration. Confounders, as sex, age, and sociodemographic variables were included in our adjusted models.

RESULTS

Data of 10,907 adolescents aged 13 to 17 were included in this study. The average screen time was 3.76 h daily. Compared to no screen time, adolescents who used over 4 h of screen time per day had higher odds of depression (OR = 2.23, 95% CI:1.27-3.91) and anxiety (OR = 1.85, 95% CI: 1.26-2.72). Sleep duration did not mediate the associations between screen time and depression and anxiety.

CONCLUSIONS

Further research is necessary to examine the associations of screen time content with depression and anxiety, as well as the effects of sleep quality in conjunction with sleep duration on the relationships of screen time and depression and anxiety.

Elevated risk of depression among adolescents presenting with sleep disorders

STUDY OBJECTIVES

Depression is prevalent among patients with sleep disorders, and studies show associations between suicidal ideation and insufficient sleep. Using retrospective clinic records, we examined positive depression screening rates among adolescent sleep clinic patients relative to other subspecialty clinic patients. We also examined relationships between sleep diagnoses and positive depression screening rate in adolescent sleep clinic patients.

METHODS

Data were analyzed from patients ages 12-18 (n = 12,520) who were screened for depression using the Patient Health Questionnaire-2 (PHQ-2). Those who screened positive were administered the PHQ-9. Logistic regression was used to examine effects of age, sex, race, ethnicity, and clinic on likelihood of a positive depression screen. Within sleep clinic patients (n = 308), demographic factors, sleep disorder diagnosis, and body mass index percentile were examined using logistic and linear regression.

RESULTS

Among all patients screened, older age and female sex predicted positive depression screens. Sleep clinic patients were more likely to screen positive than patients in 9 other clinics [odds ratios 2.03-6.83]. Results were similar even when the PHQ-9 sleep item was excluded [odds ratios 2.18-6.41]. Within sleep clinic patients, sleep disorder diagnosis (eg, insomnia, obstructive sleep apnea) was predictive of a positive depression screen (χ²(1) = 10.88, P = .004): insomnia patients were most likely to be experiencing depression.

CONCLUSIONS

Adolescent sleep clinic patients are at increased risk for depressive symptoms. Among insomnia patients, risk was independent of age, sex, and obesity, suggesting a unique relationship between insomnia and affective distress, as has been found in adults. Assessing adolescents for sleep disorders should be prioritized, given the strong association with depression.

Association of Youth Depression With Subsequent Somatic Diseases and Premature Death

IMPORTANCE

Early-onset depression has been linked to poor health outcomes. However, it is unclear the extent to which this disorder is associated with specific diseases and premature death and whether these associations remain after controlling for psychiatric comorbidity.

OBJECTIVE

To quantify the association of youth depression with subsequent diagnoses of numerous somatic diseases and mortality.

DESIGN, SETTING, AND PARTICIPANTS

A population-based cohort study was conducted using Swedish national registers containing data on all individuals born in Sweden between 1982 and 1996. A total of 1 487 964 participants were followed up from age 5 years through 2013 if no censoring occurred. Data analysis was performed from January 15, 2019, to August 10, 2020.

EXPOSURES

Youth depression was defined as having received at least 1 diagnosis of depression from inpatient or outpatient care between ages 5 and 19 years.

MAIN OUTCOMES AND MEASURES

This study examined 69 somatic conditions diagnosed after youth depression, as well as all-cause and cause-specific mortalities. Overall and sex-specific hazard ratios (HRs), together with 95% CIs, were estimated using Cox proportional hazards regression with attained age as underlying timescale and time-varying exposure, and adjusted for birth year and sex. All analyses were repeated controlling for psychiatric comorbidities. Absolute risk differences were calculated using standardization with Cox proportional hazards regression.

RESULTS

Of 1 487 964 individuals included in the analysis, 51.2% were male. A total of 37 185 patients (2.5%; 67.4% female) had an inpatient or outpatient contact for depression between ages 5 and 19 years (mean [SD] age at first recorded diagnosis of depression, 16.7 [2.1] years for males and 16.7 [1.8] years for females). Age at the end of follow-up ranged between 17 and 31 years. Individuals with youth depression had higher relative risks for 66 of the 69 somatic diagnoses. Strong associations were observed for certain injuries, especially self-harm in females (HR, 14.4; 95% CI, 13.8-15.1), sleep disorders (HR, 8.1; 95% CI, 7.6-8.7), viral hepatitis (HR, 6.1; 95% CI, 5.4-6.8), all-cause mortality (HR, 5.9; 95% CI, 5.3-6.6), and cause-specific mortalities, especially death by intentional self-harm (HR, 14.6; 95% CI, 12.6-16.9). Most associations were attenuated but persisted after adjusting for psychiatric comorbidity. The absolute risk difference of a specific disease within 12 years from the first diagnosis of depression during youth ranged from -0.2% (95% CI, -1.0% to 0.6%) for arthropathies among males to 23.9% (95% CI, 22.7%-25.0%) for the broader category of injuries among females.

CONCLUSIONS AND RELEVANCE

In this Swedish population cohort study, patients with depression diagnosed during their youth appeared to have increased risks for many somatic diseases as well as for mortality, even after controlling for other psychiatric disorders. These findings suggest that several medical conditions should be considered when investigating youth depression.

Higher Rates of Sleep Disturbance Among Offspring of Parents With Recurrent Depression Compared to Offspring of Nondepressed Parents

OBJECTIVE

Youth who have a parent with recurrent depression are at high risk for mental health problems. There is a need to identify transdiagnostic and clinically actionable mechanisms that explain higher rates of psychopathology among high-risk youth. The present study sought to examine whether offspring of depressed parents exhibit greater parent- and self-reported sleep disturbance, shorter sleep duration, and later sleep midpoint compared to youth without any parental psychopathology.

METHOD

Participants included 82 youth, including 41 youth (ages 9-13; mean age = 11.07 years; 46% female) deemed to be at high-risk based on having a parent with a recurrent depression history, and 41 (mean age = 11.16 years; 49% female) at low-risk based on having parents without any history of psychopathology. Youth and their parents completed measures of youth sleep disturbance, and youth completed measures of sleep duration and midpoint using a daily sleep diary for 9 days.

RESULTS

Offspring of parents with depression exhibited more sleep disturbance (e.g., problematic nighttime behaviors and daytime sleepiness) than low-risk youth as reported by both parents and youth. For parent-reported sleep disturbance, there were also sex differences. High-risk girls had more sleep disturbance than high-risk boys or low-risk girls. There were no group differences for daily sleep duration and midpoint.

CONCLUSION

Sleep disturbance may be an important area for assessment among offspring of parents with depression. Our findings highlight one potential transdiagnostic risk factor that may emerge among high-risk youth, and sex-specific differences in sleep disturbance, which have implications for prevention and intervention.

Study Protocol for Teen Inflammation Glutamate Emotion Research (TIGER)

This article provides an overview of the study protocol for the Teen Inflammation Glutamate Emotion Research (TIGER) project, a longitudinal study in which we plan to recruit 60 depressed adolescents (ages 13–18 years) and 30 psychiatrically healthy controls in order to examine the inflammatory and glutamatergic pathways that contribute to the recurrence of depression in adolescents. TIGER is the first study to examine the effects of peripheral inflammation on neurodevelopmental trajectories by assessing changes in cortical glutamate in depressed adolescents. Here, we describe the scientific rationale, design, and methods for the TIGER project. This article is intended to serve as an introduction to this project and to provide details for investigators who may be seeking to replicate or extend these methods for other related research endeavors.

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

BACKGROUND

Sleep problems are common in adolescence, and frequently comorbid with both anxiety and depression. Research studies have suggested a bidirectional relationship between sleep and psychopathology, which includes evidence that sleep interventions can alleviate symptoms of anxiety and depression. However, little is known about the nature of sleep problems amongst adolescents with anxiety and depression, and whether specific sleeping difficulties are involved in the longitudinal relationship between sleep, anxiety and depression.

METHOD

The sample was derived from the Avon Longitudinal Study of Parents and Children (ALSPAC), a population-based, prospective, birth cohort study of children born in 1991-1992. Data were explored from a subset of participants who took part in a clinical assessment at age 15, on self-report sleep patterns and quality, and diagnostic outcomes of anxiety and depression (N = 5,033). Subsequent diagnostic and symptom severity data on anxiety and depression at ages 17, 21 and 24 were also examined.

RESULTS

Cross-sectional and longitudinal analyses were conducted to explore the relationship between sleep problems, anxiety and depression. Results revealed that adolescents aged 15 with depression experience difficulties with both sleep patterns and sleep quality, whereas adolescents with anxiety only reported problems with sleep quality. A range of sleep variables at age 15 predicted the severity of anxiety and depression symptoms and the diagnoses of anxiety and depressive disorders at age 17, 21 and 24 years.

CONCLUSIONS

The results provide further insight into the nature of sleep problems amongst adolescents with anxiety and depression, and the prospective relationship between sleep disturbance and future psychopathology. These data suggest that targeting sleep difficulties during adolescence may have long-term mental health benefits.

Association between Lifestyle Behaviors and Health-Related Quality of Life in a Sample of Brazilian Adolescents

This study aimed to analyze the association between lifestyle behaviors and health-related quality of life (HRQoL) among Brazilian adolescents. We evaluated 739 adolescents (51.0% girls; mean age, 16.4 ± 1.0 years) from the mesoregion Grande Florianópolis, Brazil. Participants were asked to complete an online questionnaire and sex, age, mother's education, health-related quality of life, physical activity, screen time indicators, sleep duration, diet, cigarette smoking, alcohol drinking, and drug experimentation were retrieved. Health-related quality of life was assessed using the Kidscreen-10 instrument. Measures of body mass and height were taken by trained researchers. Mixed-effects linear regression models were used. Self-reported health-related quality of life was higher in males (β = 3.68, 95%CI: 2.75; 4.61) compared to females, and no association was observed for age and mother's education level. Practicing sports (β = 1.19, 95%CI: 0.29; 2.08) was associated with better HRQoL, while processed food score (β = -0.45, 95%CI: -0.78; -0.13), working using screen devices for more than 4 h/day (β = -2.38, 95%CI: -4.52; -0.25), having experimented illicit drugs (β = -2.05, 95%CI: -3.20; -0.90), and sleeping less than 8 h/night (β = -1.35, 95%CI: -2.27; -0.43) were unfavorably associated with HRQoL. Non-sport physical activities, unprocessed food, studying, watching videos, playing videogames, using social media, alcohol drinking, and smoking were not associated with health-related quality of life. These findings suggest that promoting sports and adequate sleep, and preventing excessive workloads and the use of drugs among adolescents may be effective strategies to improve HRQoL.

The interaction between sleep disturbances and anxiety sensitivity in relation to adolescent anger responses to parent adolescent conflict

INTRODUCTION

Sleep disturbances are common among adolescents and are associated with elevated anxiety, and difficulties managing affect. Familial conflict is associated with both anxiety sensitivity and adolescent sleep disturbances. No work to date has examined how adolescent sleep disturbances may interact with anxiety sensitivity in relation to adolescent affective responding to parent-adolescent conflict. The current study was designed to address this gap in the literature by examining how adolescent sleep disturbances, anxiety sensitivity, conflict elicited anger, and conflict avoidance are associated.

METHOD

Seventy-two American adolescents (n = 39 males) between the ages of 12 and 16 years (M_age = 13.84, SD = 1.38) completed a baseline assessment as well as a well-validated mother-adolescent laboratory-based conflict task.

RESULTS

For youth low in anxiety sensitivity, greater sleep disturbance related positively to conflict-elicited anger, which in turn predicted higher conflict avoidance. In contrast, this indirect effect was not significant for adolescents relatively higher in anxiety sensitivity. Instead, for these adolescents, increased sleep disturbances were associated with lower levels of conflict elicited anger.

CONCLUSIONS

Results suggest that the effects of sleep disturbances on conflict elicited anger may vary as a function of adolescent anxiety vulnerability. These findings highlight the importance of considering the unique effects of sleep disturbances on adolescent affect as a function of adolescent anxiety vulnerability.

Characterizing psychiatric symptoms and neurocognitive functioning among substance-naïve early adolescents: Associations with sleep problems

AIM

Evidence consistently links psychiatric symptoms, reduced neurocognitive functioning (NCF) and sleep problems to the initiation of a wide range of risk behaviours. Less is known, however, about the associations between sleep problems with psychiatric symptoms and NCF among early adolescents yet to engage in substance use.

METHODS

The present study examined baseline data from an ongoing prospective study of 529 youth aged 10-12 years who completed a battery of instruments measuring symptom counts for four psychiatric disorders, performance on six tests of NCF and five types of sleep behaviour on week days. We used latent class analysis to classify the 473 substance-naïve youth into subtypes characterized by probabilistic patterns of psychiatric symptoms and poorer NCF.

RESULTS

Four subtypes emerged: normative (24% of the sample); nonspecific mental health symptoms (27%); lower neurocognitive function (24%) and comorbid psychiatric symptoms and lower neurocognitive function (25%). In a multivariable latent regression model, three or more sleep arousals per night, sleep phase of two or more hours and sleep latency of 20 minutes or more were significantly associated with the two classes having higher symptom counts. Lack of family support was significantly associated with the two classes having lower neurocognitive function and comorbid psychiatric symptoms.

CONCLUSIONS

The youth subtypes in this study provide an important baseline characterization to subsequently understand how these neuropsychiatric relationships may change when substance use and other risk behaviours develop during adolescence. Implications for preventing and treating sleep problems associated with psychiatric comorbidity and neurocognitive dysfunctions are discussed.

Sleep Quality as a Mediator of the Relationship Between Cyber Victimization and Depression

PURPOSE

Cyber victimization is a national mental health concern, especially among adolescents who are digital natives. The current study examined sleep quality as a mediator of the association between cyber victimization and depressive symptoms among adolescents.

DESIGN AND METHOD

A prospective study design was utilized with a community sample of adolescents (N = 801; 57% female; mean age = 14.45, SD = .85) from the eastern United States. Participants completed (a) the Pittsburgh Sleep Quality Index; (b) the Cyber Victimization Scale; and (c) the Center for Epidemiologic Studies Depression Scale Revised via online surveys at baseline and 6-month follow-up. The inter-relationship between variables was analyzed by Hayes' mediation approach.

FINDINGS

Cyber victimization was not directly associated with having depressive symptoms 6 months later when controlling for adolescents' poor sleep quality, sex, and age (direct effect [c'] = .012, t(676) = 1.12, p < .05, confidence interval [CI] -.008, .036). The mediation analysis indicated a significant indirect effect of poor sleep quality on the relationship between cyber victimization and depressive symptoms (ab = .005, bootstrapped standard error [SE] = .003, bootstrapped CI .001, .011; a is the effect of cyber victimization on poor sleep quality; b is the effect of poor sleep quality on depressive symptoms). Specifically, adolescents' cyber victimization led to poor sleep quality (a = .039, SE = .041, p < .05), which also led to increased depressive symptoms (b = .116, SE = .019, p < .001), after controlling for depressive symptoms at baseline, sex, and age. The indirect effect of cyber victimization on depressive symptoms was estimated through poor sleep quality (a*b = .039(.116) = .0045).

CONCLUSIONS

The findings suggest that poor sleep quality may be a mechanism through which cyber bullying is related prospectively to depressive symptoms. Interventions for cyber-victimized adolescents should include assessment of sleep quality and incorporate sleep hygiene education.

CLINICAL RELEVANCE

Adolescents should be screened for cyber victimization and sleep quality. Moreover, promotion of sleep hygiene among cyber-victimized adolescents may help to reduce depression.

Are one-year changes in adherence to the 24-hour movement guidelines associated with depressive symptoms among youth?

Background

There remains a need for prospective research examining movement behaviours in the prevention and management of mental illness. This study examined whether changes in adherence to the 24-h Movement Guidelines (moderate-to-vigorous physical activity [MVPA], sleep duration, screen time) were associated with depression symptoms among youth.

Methods

Conditional change models were used to analyze two waves of longitudinal questionnaire data (2016/17, 2017/18) from students in grades 9–12 (N = 2292) attending 12 schools in Ontario and British Columbia, Canada, as part of the COMPASS study. One-year change in adherence to the MVPA, screen time, and sleep duration guidelines were modeled as predictors of depressive symptoms, adjusting for covariates and prior year depressive symptoms. Models were stratified by sex.

Results

Continued adherence to sleep guidelines and transitioning from inadequate to sufficient sleep were associated with lower depressive symptoms than continued nonadherence, and continued adherence was associated with lower depression than transitioning from sufficient to short sleep. For screen time, transitioning from exceeding guidelines to guideline adherence was associated with lower depressive symptoms than continued nonadherence. MVPA guideline adherence was not associated with depression scores, when controlling for sleep and screen time guideline adherence change and covariates. When combined, meeting additional guidelines than the year prior was associated with lower depressive symptoms among females only.

Conclusions

Adherence to the sleep guidelines emerged as the most consistent predictor of depression symptoms. Promoting adherence to the Movement Guidelines, particularly sleep, should be considered priorities for youth mental health at a population level.

Do sleep disturbances in depressed adolescents improve following psychological treatment for depression?

BACKGROUND

Persistent sleep disturbances are one of the most common symptoms of Major Depressive Disorder (MDD) in adolescence. These are not typically targeted in psychological treatments and it is not known if psychological treatment for depression improves sleep.

METHODS

Secondary analyses were conducted using data from a large, multi-centre, randomised controlled trial (Goodyer et al., 2017b). Young people aged 12-18 years (N = 465; 75% female) met diagnostic criteria for Major Depressive Disorder, based on the Kiddie-Schedule for Affective Disorders and Schizophrenia (K-SADS). They were randomised to one of three psychological treatments. Sleep difficulties were assessed at baseline, post-treatment (36 weeks) and one year follow up (86 weeks) with the K-SADS, and the Mood and Feelings Questionnaire (MFQ).

RESULTS

At baseline, 92% of young people exhibited clinically significant sleep difficulties. Exploratory analyses suggest that sleep difficulties significantly decreased from baseline to end of treatment on self-report and interview-based measures, and this decrease was maintained at follow up. Reduction in sleep difficulties did not differ between the psychological treatments. Approximately, half of young people reported residual sleep difficulties at the end of treatment and at follow-up.

LIMITATIONS

This paper reports secondary data analyses and findings are exploratory.

CONCLUSIONS

Tentative results suggest that psychological treatments for depression reduced sleep problems for some participants. However, young people with treatment-resistant sleep problems may benefit from adjunctive sleep interventions. Future work with a range of sleep measures is needed to determine those who have residual sleep problems at the end of treatment and post-treatment follow-up.

Clinical evaluation of biological rhythm domains in patients with major depression

Objective:

Sleep, physical activity, and social domains of biological rhythm disruptions may have specific effects on the symptom cluster and severity of depression. However, there is a lack of structured clinical evaluation to specify the domains of biological rhythms in patients with depression.

Methods:

Ninety drug-naïve subjects with depression and 91 matched healthy controls were recruited for the study. The severity of depression was examined with the Hamilton Rating Scale for Depression (HRSD), while biological rhythm was evaluated using the Biological Rhythms Interview of Assessment in Neuropsychiatry (BRIAN).

Results:

Patients with depression showed significantly greater biological rhythm disturbances than healthy controls in all domains of BRIAN (sleep, activity, social, and eating). BRIAN-Total correlated positively with HRSD-Total and HRSD-Total without sleep cluster. The sleep and activity domains correlated significantly with HRSD-Total score. Additionally, the sleep, activity, and social domains correlated significantly with HRSD-Total without the sleep cluster score. Regression analysis revealed the activity (β = 0.476, t = 5.07, p<0.001) and sleep (β = 0.209, t = 2.056, p = 0.043) domains may predict HRSD-Total score.

Conclusion:

Consideration of biological rhythm domains in clinical examination and focusing on the sleep and activity domains may hold promise for the management of depression.

Cross-Sectional Survey of Sleep Practices of Australian University Students

Sleep insufficiency is often associated with the life of a university student, yet it is well known that inadequate sleep can have a negative impact on physical and mental health and be detrimental to cognitive skills for learning. The aim of this study was to replicate a Canadian study to survey university student sleep practices, the way in which students address any sleep issues, and the students' preferred method to receive targeted sleep information.

METHODS

An anonymous on-line survey was promoted to all enrolled students at one Australian University in August 2017.

RESULTS

In total, 601 students responded to the survey. One third indicated that they had insufficient sleep (less than 6.5 hrs). Almost two thirds reported a perception of not getting sufficient sleep. There was a significant association between the reported number of sleep hours, and the perception of high-quality sleep. Strategies to get to sleep included the use of social media which is counter to best practice in sleep hygiene.

CONCLUSION

The study supports the need for education about sleep health coupled with stress management to better the demands of student life.

Subjective sleep problems and sleep hygiene among adolescents having depression: A case-control study

Sleep research has often focussed heavily on polysomnography while ignoring subjective sleep complaints of individuals, especially the young ones. Discordance has been seen between objective and subjective parameters of sleep among children and adolescents. There has been a trend towards worsening of sleep hygiene among adolescents, which may predispose to psychiatric disorders like depression. So, we compared the subjective sleep quality and sleep hygiene among depressed and normal adolescents. A sample of 31 depressed adolescents and 32 healthy controls were compared on sleep parameters using Adolescent Sleep Wake Scale (ASWS), Adolescent Sleep Hygiene Scale (ASHS) and School Sleep Habits Survey. Depressed adolescents were found to have significantly worse sleep quality [ASWS score 3.72 ± 0.952 vs 4.79 ± 0.552, p < 0.001], longer sleep onset latency [68.23 ± 62.98 vs 19.53 ± 19.48 minutes, p < 0.001], and shorter sleep duration [414.19 ± 110.78 vs 498.28 ± 56.86 minutes, p < 0.001]. Sleep quality significantly correlated with depression severity (measured on Children's Depression Rating Scale- revised), i.e., higher the severity of depression, poorer was the sleep quality (r = -0.605, p < 0.01). But sleep hygiene was statistically similar between the two groups [ASHS score 3.21 ± 0.60 vs 3.36 ± 0.51, p = 0.293], and was inadequate (< 3.8) among all adolescents irrespective of depression. Hence, despite the lack of evidence from objective sleep measures, there seem to be subjective sleep impairments among adolescents having depression. Future research needs to address the underlying etiological factors and causal directions for depression and sleep impairments among adolescents. Sleep hygiene education must be a part of broader primary prevention strategies for psychiatric disorders.

Association of Screen Time with Sleep Duration in School-Aged Children; a Nationwide Propensity Score‑Matched Analysis: The CASPIAN‑V Study

BACKGROUND

This study aims to determine the association of sleep duration with screen time in children and adolescents.

STUDY DESIGN

A matched case-control study.

METHODS

This nationwide study was conducted in 2015 among 14,274 students aged 7-18 years, and one of their parents who lived in 30 provinces in Iran. Data collection was performed using questionnaires and physical examination. Watching television and working with computer were categorized into two groups (<2 h/day and ≥2 h). Moreover short sleep duration was defined as sleep duration ≤ 8 h/day. The analysis was conducted based on the propensity score using a matched case-control study design. Data analysis was performed by a conditional logistic regression.

RESULTS

Overall, 14,274 students and one of their parents completed the survey (participation rate: 99%). Mean (standard deviation) age of students was 12.3 (3.2) years, and the frequency of short sleep was (4672) 33.5% .In total, 54.3% of students watched TV ≥2 h/day and 9% of those used a computer ≥2 h/day in their leisure time. In the multivariate model, Individuals who watched TV ≥2 h/day had significantly higher odds of short sleep (OR 1.13, 95% CI 1.03, 1.24), and individuals who worked with computer ≥2 h/day had significantly higher odds of short sleep (OR 1.65, 95% CI 1.40, 1.94).

CONCLUSION

This study revealed significant association between watching TV and using computer during leisure time with insufficient sleep. Public awareness should be provided regarding the adverse effects of screen use on sleep. Developing special guide lines and educational school programs on restricting screen time and increasing physical activities should be considered as a health priority for children and adolescents.

Sex differences in sleep patterns and changes in 7th to 12th graders: a longitudinal follow-up study in Taiwan

Study Objectives

To assess the relationship between sex and the development of sleep patterns in adolescents from grade 7 to 12.

Methods

We analyzed longitudinal data from annual school-based assessments of sleep habits among secondary school students in northern Taiwan. Measures of sleep patterns included sleep length on weekdays and weekends as well as weekend-weekday difference (WndD), defined as the discrepancy in the time in bed (TIB) between weekdays and weekends. Growth curve models were used to assess sex differences in sleep patterns. Associations between other covariates and sleep patterns were also explored.

Results

We found shorter weekday TIB in girls compared with boys at all time points. In contrast, girls had longer weekend TIB than boys over time except in the 12th grade. WndD was also longer in girls than boys. All interaction terms between sex and time were insignificant, indicating that developmental change across time was not statistically different for boys and girls. Several other factors, namely, parental education, pubertal development, self-perceived health, weight status, depressive symptoms, academic stress, infrequent exercise, and substance use, were also found to be associated with sleep patterns.

Conclusions

Our findings show a sex difference in TIB both on weekdays and weekends. No sex difference was found in the development of sleep patterns over time.

Mediating Effect of Sleep Quality on the Relationship Between Problematic Mobile Phone Use and Depressive Symptoms in College Students

Background and Aim: Problematic mobile phone use (PMPU) and depression are great public health concerns among adolescents. The aim of this study was to determine the association between PMPU and symptoms of depression, as well as the mediating role of sleep quality. Methods: A total of 4,624 college students participated in this study. The Self-rating Questionnaire for Adolescent Problematic Mobile Phone Use (SQAPMPU), Pittsburgh Sleep Quality Index (PSQI), and Patient Health Questionnaire-9 (PHQ-9) were administered to assess PMPU, sleep quality, and symptoms of depression. Mediation analysis was conducted using PROCESS macro in the SPSS software. Results: Of the participants, 27.5% were classified as PMPU, 44.9% exhibited symptoms of depression, and 15.6% reported sleep problems. Compared with those without PMPU, those with PMPU exhibited higher rates of sleep problems and depressive symptoms. The mediation analysis further revealed partial mediation effects of sleep quality on the association between PMPU and depression. Conclusions: This study demonstrated that PMPU was associated with mental health in college students, and sleep quality played a mediating role in this relationship. Our findings highlight the critical role of early intervention for depression with a focus on those with PMPU and, more specifically, on those with sleep problems.

Moderating effects of depressive symptoms on the relationship between problematic use of the Internet and sleep problems in Korean adolescents

BACKGROUND

Adolescence is a period of marked sleep pattern changes and sleep problems, which may result from both endogenous and exogenous factors. Among the various factors affecting adolescent sleep, depression and problematic Internet use (PIU) have received considerable attention. We examined if there is a different PIU effect on sleep between depressed group and non-depressed groups.

METHODS

Data for a total of 766 students' between 7th and 11th grades were analyzed. We assessed various variables related sleep to problems and depression and compared those variables between an adolescent group with problematic Internet use (PIUG) and an adolescent group with normal Internet use (NIUG).

RESULTS

One hundred fifty two participants were classified as PIUG, and 614 were classified as NIUG. Compared with the NIUG, the members of the PIUG were more prone to insomnia, excessive daytime sleepiness and sleep-wake behavior problems. The PIUG also tended to include more evening types than the NIUG. Interestingly, the effect of Internet use problems on sleep problems appeared to be different according to the presence or absence of the moderating effect of depression. When we considered the moderating effect of depression, the effect of Internet use problems on sleep-wake behavior problems, insomnia and excessive daytime sleepiness increased with increasing Young's Internet Addiction Scale (IAS) scores in the non-depressed group. However, in the depressed group, the effects of Internet use problems on sleep-wake behavior problems and insomnia did not change with increasing Internet use problems, and the effect of Internet use problems on excessive daytime sleepiness was relatively decreased with increasing Internet use problems in the depressed group.

CONCLUSIONS

This study demonstrated that the effect of PIU on sleep presented differently between the depressed and non-depressed groups. PIU is associated with poorer sleep in non-depressed adolescents but not in depressed adolescents. This finding might be observed because PIU may be the biggest contributor to sleep problems in the problematic Internet user without depression, but in the problematic Internet user with depression, depression might be a more important contributor to sleep problems; thus, the influence of PIU on sleep effect might be diluted.