Associations among daytime sleepiness, depression and suicidal ideation in Korean adolescents

Major depressive episode with insomnia and excessive daytime sleepiness: A more homogeneous and severe subtype of depression

Previous studies have noted the crucial role of excessive daytime sleepiness (EDS) in the course of depressive illness, and more recently, a few studies documented its strong associations with an increased risk of suicide. While insomnia is associated with heightened emotional reactivity, suicidal behaviors, and increased relapses and recurrence. Our main hypothesis is that major depressive episodes (MDE) with insomnia and EDS are associated with more severe manifestations of depression. However, to date, no study has directly compared MDE with insomnia without EDS (Ins), and MDE with insomnia with EDS (InsEDS) using both subjective biomarkers (administration of self-assessment questionnaires for psychiatric evaluation and sleep complaints) and objective biomarkers (of sleep and circadian rhythms (using actigraphy). The InsEDS group, compared to the Ins group, exhibited significantly increased suicidal ideation, larger seasonal impacts on mood, alterations in sleep duration, weight, appetite, energy levels, and social activities throughout the year. Furthermore, they had significant delayed onset of daily activity measured with actigraphy. These findings provided new insights into the link between suicide, sleep, alertness, and biological clock. They also hold significant implications for identifying individuals with more severe depressive manifestations and for developing tailored and personalized therapeutic strategies.

Associations between sleep complaints, suicidal ideation and depressive symptoms among adolescents and young adults in Greece

Depression prevalence increases significantly during adolescence/early adulthood. Depression in youth may present suicidal ideation, while suicide represents the leading cause of death in this age group. Moreover, adolescents/young adults frequently report sleep complaints that may partially be due to depressive symptoms. Studies on the associations between depression, sleep complaints and suicidality in this age group are limited. We aimed to examine associations between depressive symptoms, sleep complaints and suicidal ideation in a large (n = 2771), representative sample of adolescents (age: 15-17 years, n = 512) and young adults (age: 18-24 years, n = 2259) from the general population in Greece. A telephone structured questionnaire was administered. Depressive symptoms were assessed using the modified Patient Health-7 questionnaire score, while presence of suicidal ideation and sleep complaints were assessed using the ninth and third question of Patient Health-9 questionnaire, respectively. Mediation logistic regression analysis revealed significant direct paths from depressive symptoms to sleep complaints (odds ratio [OR] 1.22, 95% confidence interval [CI] 1.19-1.24; OR 1.21, 95% CI 1.18-1.24) and suicidal ideation (OR 1.18, 95% CI 1.14-1.22; OR 1.18, 95% CI 1.14-1.22), as well as sleep complaints and suicidal ideation (OR 1.82, 95% CI 1.32-2.50; OR 1.91, 95% CI 1.33-2.76) in the total group and in young adults, respectively, but not among adolescents. Moreover, we detected a significant indirect effect of depressive symptoms on suicidal ideation mediated by sleep complaints (18.8%) in young adults. These findings support the hypothesis that treatment of sleep disturbances among youth with depression may independently further reduce suicidal risk.

Diurnal symptoms of sleepiness and dysfunction predict future suicidal ideation in a French cohort of outpatients (FACE-DR) with treatment resistant depression: A 1-year prospective study about sleep markers

BACKGROUND

Patients suffering from treatment-resistant depression (TRD) are at risk of suicide. Sleep and circadian rhythm alterations are widely recognized as core symptoms of major depressive disorder and are associated with suicidal ideation. Thus, sleep and circadian rhythm alterations may be targeted to prevent suicide.

METHODS

Patients were recruited from a prospective cohort of the French network of TRD expert centers. Mood, sleep and circadian rhythms were assessed at baseline; suicidal risk was assessed both at baseline and during a one-year follow-up with standardized subjective questionnaires.

RESULTS

Excessive daytime sleepiness (adjusted odds ratio aOR = 1.7(1-3.3), p = 0.04) and daytime dysfunction (aOR = 1.81(1.16-2.81), p = 0.0085) increased the risk of suicidal thoughts over the one-year follow-up period in patients with TRD after adjustment on age, gender, depression, trauma, anxiety, impulsivity, current daily tobacco smoking and body mass index. Hypnotics intake is associated with a reduced risk of suicidal ideation at one-year follow-up after the same adjustments (OR = 0.73(0.56-0.95), p = 0.019). Other associations between sleep quality or circadian rhythms and suicidal ideations at either baseline or one year did not remain significant in multivariate analyses after the same adjustments.

LIMITATIONS

Sleep assessments were based on self-reported questionnaires rather than objective measures.

CONCLUSIONS

Daytime sleepiness and dysfunction are predictors of suicidal ideations, whereas hypnotics intake is associated with a reduced risk of suicidal ideations. Diurnal symptoms of sleep disturbances are therefore red flags to target for preventing suicide in depressed patients, and hypnotics seem efficient in preventing suicide for patients with TRD.

Adolescent mobile phone addiction during the COVID-19 pandemic predicts subsequent suicide risk: a two-wave longitudinal study

Both the rate of mobile phone addiction and suicidality among adolescents have increased during the pandemic lockdown. However, the relationship between mobile phone addiction and suicide risk and the underlying psychological mechanisms remains unknown. This study examined the associations between mobile phone addiction in adolescents during the first month of lockdown and the suicide risk in the subsequent five months. A two-wave short-term longitudinal web-based survey was conducted on 1609 senior high school students (mean age = 16.53 years, SD = 0.97 years; 63.5% female). At Time 1 (T1), the severity of mobile phone addiction and basic demographic information was collected from Feb 24 to 28, 2020 in Sichuan Province, China (at the pandemic’s peak). Five months later, between July 11 and July 23 (Time 2, T2), mobile phone addiction, daytime sleepiness, depression, and suicidality were measured within the past five months. The regression analysis revealed that mobile phone addiction during quarantine directly predicted suicidality within the next five months, even after controlling for the effect of depression and daytime sleepiness. Meanwhile, mobile phone addiction at T1 also indirectly predicted suicidality at T2, with depression and daytime sleepiness mediating this association. Programs targeting improvement of daytime sleepiness and depressive symptoms may be particularly effective in reducing suicide risk among adolescents with mobile phone addiction.

A Comprehensive Review of the Literature on Sleep Difficulties and Suicidality in Youth to Inform an Integrative Developmental Model and Future Directions

Purpose of Review

Suicide is currently the second leading cause of death among youth. Identification of modifiable near-term risk factors can inform suicide prevention strategies. One promising, readily assessed factor is sleep. We critically review the literature on sleep and suicidal thoughts and behaviors among youth.

Recent Findings

Most studies examining the youth sleep-suicidality relationship are from epidemiological samples in which both sleep problems and suicidality were assessed over variable timeframes using limited items from scales not designed to measure these constructs. Nonetheless, these data overwhelmingly support an association between suicidality and a range of sleep difficulties (e.g., insomnia, short/long sleep, weekend oversleep), above and beyond depressive symptoms. Limited studies include clinical samples or prospective designs. We review potential mechanisms and present a developmentally-informed integrative model.

Summary

Literature supports a clear association between sleep difficulties and youth suicidality. Future directions include prospective longitudinal studies and targeted prevention efforts.

Suicidal Ideation Is Associated With Excessive Smartphone Use Among Chinese College Students

BACKGROUND

Suicidal ideation is the first step and a strong predictor of suicide. College students are at a considerably high risk of suicidal ideation, and smartphones are commonly used in this group. However, the relationship between suicidal ideation and smartphone use among Chinese college students is unclear. The current study aimed to investigate the prevalence of suicidal ideation among Chinese college students and its association with smartphone use and addiction factors.

METHODS

A total of 439 college students participated the survey. We collected the demographic information, physical health, psychosocial factors (depressive symptoms, social support, sleep quality), characteristics of smartphone use, and mobile phone addiction (MPA). Suicidal ideation was measured with a single question, "did you feel that life was not worth living in the past 1 year?"

RESULTS

The prevalence of suicidal ideation ("Yes" response) in the past year among Chinese college students was 7.5%. In binary logistic regression analysis, suicidal ideation was significantly correlated with less subjective social support (OR: 2.49, p = 0.049), lower utilization of social support (OR: 13.28, p = 0.012), more depressive symptoms (OR:4.96, p = 0.005), and more than 5 h of daily smartphone use (OR: 2.60, p = 0.025).

CONCLUSION

Considering the widely use of smartphones in Chinese colleges and the correlation with suicidal ideation, excessive phone use among college students should be given more attention by administrators and health workers. It is necessary to obtain more information about the intention of smartphone use, make full use of smartphones for health education, and monitor excessive use of smartphones, while improving social support and coping mechanisms for depression, to identify suicidal ideation and prevent suicidal behavior among Chinese college students.

Association of Nighttime Sleep Duration with Depressive Symptoms and Its Interaction with Regular Physical Activity among Chinese Adolescent Girls

Depression has become a major mental health concern among adolescents globally, and the relationship between depressive symptoms and nighttime sleep duration among adolescent girls remains unclear. This study aimed to examine the association between nighttime sleep duration and depressive symptoms among Chinese adolescent girls. This cross-sectional study, conducted in 2018, included 4952 girls aged 10-19 years from the eastern, central, and western regions of China. Depressive symptoms were assessed by the Patient Health Questionnaire-9, and categorized into depressive symptoms and non-depressive symptoms. Logistic regression models were used to estimate the odds ratios (ORs) of depressive symptoms. After adjustment for covariates, adolescent girls with a nighttime sleep duration of <7 h/night (OR = 2.28, 95% CI: 1.76-2.95) and 7 h/night (OR = 1.82, 95% CI: 1.48-2.24) were associated with increased risk of depressive symptoms, compared to those with a sleep duration of 8 h/night. An interaction between nighttime sleep duration and regular physical activity on the risk of depressive symptoms was observed (p for interaction = 0.036). Among both girls with and without regular physical activity, a sleep duration of <7 h/night was associated with increased odds of depressive symptoms, and the magnitude of the ORs among girls with regular physical activity was lower than those without regular physical activity. This study found a significant association of short nighttime sleep duration with increased risk of depressive symptoms, and demonstrates the importance of maintaining adequate nighttime sleep duration and ensuring regular physical activity in improving depressive symptoms among adolescent girls.

Associations Between Social Media, Bedtime Technology Use Rules, and Daytime Sleepiness Among Adolescents: Cross-sectional Findings From a Nationally Representative Sample

BACKGROUND

Social media use is associated with poor sleep among adolescents, including daytime sleepiness, which affects adolescents' mental health. Few studies have examined the associations among specific aspects of social media, such as frequency of checking and posting, perceived importance of social media for social belonging, and daytime sleepiness. Identifying whether certain adolescents are more at risk or protected from the effects of social media on sleepiness may inform future interventions for social media, sleep, and mental health.

OBJECTIVE

This study aims to examine the association between social media use frequency and importance, daytime sleepiness, and whether the perceived importance of social media for social interactions and parental rules around bedtime technology moderated these relationships.

METHODS

This cross-sectional survey study was conducted with a sample of 4153 adolescents from across the United States. Qualtrics was used to collect data via panel recruitment from a national sample representing the US demographics of teens aged 12 to 17 years. Participants completed measures of daytime sleepiness, frequency of social media checking and posting, and the importance of social media for social interactions. Parents reported whether they had a household rule around bedtime media and screen use. Hierarchical regressions and moderation analyses were conducted, covarying for age, gender, and age at first smartphone use.

RESULTS

Participants had a mean age of 14.64 (SD 1.66) years in grades 6 to 12, 46.45% (1929/4153) identified as female, and 67.93% (2821/4153) identified as White. The results indicated that adolescents who posted (B=0.70, SE 0.04; P<.001) or checked (B=0.76, SE 0.04; P<.001) social media more frequently or who perceived social media to be more important for social belonging (B=0.36, SE 0.02; P<.001) had higher levels of daytime sleepiness. Moderation analyses indicated that the relationship between social media use frequency and daytime sleepiness was exacerbated by higher levels of perceived social media importance (B=0.04, SE 0.01; P<.001). Adolescents without household rules around bedtime technology use were more likely to be affected by social media checking (B=-0.34, SE 0.09; P<.001) and importance (B=-0.16, SE 0.04; P<.001) on daytime sleepiness.

CONCLUSIONS

The findings suggest that social media use frequency and perceived importance of social interactions are associated with daytime sleepiness among adolescents. It is important to consider youth's perceptions of social media when assessing the potential effects of social media use frequency on youth well-being. Furthermore, youth who did not have parental rules around bedtime technology use were most likely to be affected by social media use and perceived importance. The findings may extend to other mental health outcomes and may guide future prevention and intervention programs designed to improve social media use, sleep, and mental health.

Association between snoring and depressive symptoms in adolescents

While previous studies have suggested that snoring may be associated with depressive symptoms and suicidality in adults and preschool children, there have been no investigations in non-clinical adolescent populations. This study aimed to demonstrate the association between snoring and depressive symptoms/suicidality in adolescents. This survey study recruited 8530 students (grades 7-11) and examined depressive symptoms, suicidality, snoring frequency, daytime sleepiness, sleep duration, and presence of insomnia by questionnaires. Correlation analyses, multiple linear regression analyses and mediation analyses were performed to determine the association between snoring frequency and depressive symptoms/suicidality. The study population included 8080 students (16.73 ± 1.09 years old). Snoring frequency was positively correlated with depressive symptoms and suicidality. Snoring frequency was associated with depressive symptoms and suicidality when adjusted for age and sex, and the association remained significant after additionally adjusting for sleep duration, insomnia, and daytime sleepiness. When depressive symptoms were included as a predictor of suicidality, snoring frequency showed no significant predictive value. Mediation analysis confirmed that depressive symptoms mediate the association between snoring frequency and suicidality. Our findings suggest that self-reported complaints of snoring are associated with increased depressive symptoms and suicidality in adolescents independently of sleep duration, insomnia, and daytime sleepiness, and the connection between snoring and suicidality is mediated by depressive symptoms. These data underscore the importance of identifying snorers among adolescents and screening for depression and suicidal ideation in this population.

A meta-analysis of the relationship between subjective sleep and depressive symptoms in adolescence

BACKGROUND

Adolescence is a risk period for the development of mental illness, as well as a time for pronounced change in sleep behaviour. While prior studies, including several meta-analyses show a relationship between sleep and depressive symptoms, there were many inconsistences found in the literature.

OBJECTIVE

To investigate the relationship between subjective sleep and depressive symptoms.

METHODS

Following PRISMA guidelines, we conducted a literature search that yielded forty-nine recent studies (2014-2020) with adolescent samples aged 9 to 25-year-olds, and more than double the sample size of previous meta-analyses (N = 318,256).

RESULTS

In a series of meta-analyses, we show that while several common categories of subjective sleep are associated with depressive symptoms in adolescents, the strength of this relationship varies. Measures of sleep perception: poor sleep quality (r = 0.41), insomnia (r = 0.37), sleep disturbances (r = 0.36), wake after sleep onset (r = 0.31), and daytime sleepiness (r = 0.30) correlated more strongly with depressive symptoms, than measures of sleep behaviour: sleep latency (r = 0.22), and sleep duration (r = -0.19).

CONCLUSIONS

These findings suggest that in studies of depressive symptoms it may be important to assess an adolescent's perception about their sleep, in addition to their sleep/wake behaviours.

Evidence Base Update on Assessing Sleep in Youth

BACKGROUND

Sleep is vital to youth well-being and when it becomes disturbed - whether due to environmental or individual factors - mental and physical health suffer. Sleep problems can also be a symptom of underlying mental health disorders. Assessing different components of sleep, including quality and hygiene, can be useful both for identifying mental health problems and for measuring changes in well-being over time. However, there are dozens of sleep-related measures for youth and it can be difficult to determine which to select for a specific research or clinical purpose. The goal of this review was to identify sleep-related measures for clinical and/or research use in youth mental health settings, and to update the evidence base on this topic.

METHOD

We generated a list of candidate measures based on other reviews and searched in PubMed and PsycINFO using the terms "sleep" AND (measure OR assessment OR questionnaire) AND (psychometric OR reliability OR validity). Search results were limited to studies about children and adolescents (aged 2-17) published in English. Additional criteria for inclusion were that there had to be at least three publications reporting on the measure psychometrics in community or mental health populations. Sleep measures meeting these criteria were evaluated using the criteria set by De Los Reyes and Langer (2018).

RESULTS

Twenty-six measures, across four domains of sleep - insomnia, sleep hygiene, sleepiness, sleep quality - met inclusion criteria. Each measure had at least adequate clinical utility. No measure(s) emerged as superior across psychometric domains.

CONCLUSION

Clinicians and researchers must evaluate sleep measures for each use case, as the intended purpose will dictate which measure is best. Future research is necessary to evaluate measure performance in transdiagnostic mental health populations, including youth with serious mental illness.

Sleep difficulties and suicidality in youth: current research and future directions

Studies have established a clear relationship between subjective sleep problems and the continuum of suicidality in adolescents. These studies are primarily cross-sectional in nature and conducted with epidemiological and depressed clinical samples. More recent studies focus on prospective data. Herein, we provide an update on current studies on the sleep-suicide association among youth. To further the critical mission of youth suicide prevention, future directions include more nuanced study of sleep employing a sleep health framework, longitudinal studies employing both objective and subjective sleep measures, fine-grained temporal associations between these constructs and their fluctuations over time, as well as enhanced understanding of the mechanisms underlying these associations.

Associations Between Daytime Sleepiness, Psychological Symptoms, Headache, and Abdominal Pain in Schoolchildren

Daytime sleepiness and different symptoms are common problems affecting health and well-being of schoolchildren. This population-based cohort study included 568 children who were followed from ages 10 to 15 years. Daytime sleepiness, headache, abdominal pain, and psychological symptoms (depression, irritability or bad temper, nervousness, anxiety, and dejection) were assessed by self-administered questionnaires. The prevalence of frequent daytime sleepiness was 13% at the ages of 10 and 12 years and increased significantly up to 24% at the age of 15 (p < .0001). Daytime sleepiness as well as psychological symptoms were positively associated with headache and abdominal pain from ages 10 to 15 years. Headache in girls at the ages of 10 predicted the occurrence of headache at the age of 15. School nurses and other professionals need to understand the importance of a holistic evaluation of sleep and different symptoms in children. There is also a need for interventions targeting several co-occurring symptoms.