Associations between Insomnia, Daytime Sleepiness, and Depressive Symptoms in Adolescents: A Three-Wave Longitudinal Study

Sleep disturbance and suicidal ideation among youth with depression

BACKGROUND

Sleep disturbance may exacerbate the risk of suicide among youth with depression, but whether this association is independent of psychopathology requires further study.

METHODS

This cross-sectional study included 576 youths (13-25 years old) recruited from January 2022 to May 2023. The patients were first divided into two groups by the presence of suicidal ideation according to the Columbia-Suicide Severity Scale (C-SSRS). Sleep quality was assessed by the Athens Insomnia Scale (AIS) and mental health with the Hamilton Depression Rating Scale (HAMD) and Hamilton Anxiety Rating Scale (HAMA). Logistic regression was conducted to analyze the association between sleep disturbance and suicidal ideation, adjusted for depressive symptoms severity.

RESULTS

The suicidal ideation group exhibited more severe sleep disturbances, anxiety symptoms, and depressive symptoms than the non-suicidal ideation group. Pearson correlation showed that sleep disturbance (AIS) was significantly correlated with the severity of anxiety symptoms, depressive symptoms, and suicidal ideation. Logistic regression analysis revealed that the AIS factor "daytime dysfunction" (β = 0.145; OR = 1.156, 95 % CI: 1.02, 1.309; p = 0.023) was significantly associated with suicidal ideation after adjusting for demographic characteristics and depressive symptoms severity.

LIMITATIONS

Due to the cross-sectional nature of the data, no causal inference can be made regarding the observed associations between sleep disturbance and suicidal ideation.

CONCLUSION

Sleep disturbance, particularly in the realm of daytime dysfunction, is associated with increased suicidal ideation among depressed youth. Clinicians need to assess and manage sleep disturbance in the context of suicidal ideation for young depression patients.

Bidirectional associations between sleep problems and suicidal thought/attempt in adolescents: A 3-wave data path analysis

PURPOSE

This longitudinal data analysis examined the bidirectional relationships between sleep problems and suicidal thought (ST)/attempt (SA) in a large sample of Chinese adolescents.

METHODS

A total of 6995 adolescents (mean age = 14.86 years and 51.4% males) participated in a 3-wave longitudinal study of behavior and health in Shandong, China. A self-administered questionnaire and standardized scales were used to assess ST, SA, sleep duration, insomnia, daytime sleepiness, and behavioral/emotional problems in 2015 (T1), 1 year later (T2), and 2 years later (T3). Path analyses were performed without and with adjustment for covariates, including gender, grade level, chronic diseases, cigarette smoking, alcohol use, anxiety/depressive symptoms, paternal education, and family economic status.

RESULTS

The prevalence rates of short sleep (<7 h/night), insomnia symptoms, and daytime sleepiness were 46.9-58.8%, 16.0-19.4%, and 25.1-25.3% at T1, T2, and T3, respectively. The rates of past-year ST and SA were 9.1-12.4% and 1.6-2.4% at T1, T2, and T3, respectively. Path analyses showed that short sleep, insomnia, and daytime sleepiness predicted subsequent ST, and vice versa. Daytime sleepiness and SA predicted each other 1 year later. Sleep problems and ST/SA in the previous year significantly predicted themselves in the follow-up year.

STUDY LIMITATION

All data were based on self-report.

CONCLUSION

Short sleep, insomnia, and daytime sleepiness all had bidirectional relationships with ST. Daytime sleepiness and SA were bidirectionally linked. Our findings suggest that interventions should be taken for both night sleep disturbances and daytime sleepiness to prevent suicide. Adverse sleep outcomes in suicidal adolescents should be assessed, which can in turn increase suicide risk.

Life stress and suicidality mediated by insomnia and depressive symptoms in adolescents: a three-wave longitudinal study

STUDY OBJECTIVES

Little empirical work has investigated the associations between life stress (LS), insomnia, depression, and suicidality in multi-wave longitudinal studies. With three waves of data collection 1-year apart, this longitudinal study with a large sample of adolescents examined the predicting effects of LS on suicidality 1-year later and 2 years later and the mediating roles of insomnia and depression in the LS-suicidality link.

METHODS

A total of 6995 adolescents (mean age = 14.86 years, 51.4% male) participated in a three-wave longitudinal study of behavior and health in Shandong, China. A self-administered structured questionnaire and standardized scales were used to assess suicidality (including suicidal thought [ST], suicide plan [SP], and suicide attempt [SA]), LS, insomnia, and depression in 2015 (T1), 1-year later (T2), and 2 years later (T3). Mediation effects were examined with path models.

RESULTS

The overall prevalence rates of past-year suicidality were 13.4% at T1, 10.0% at T2, and 9.5% at T3, respectively. The prevalence rates of suicidality across T1-T3 significantly increased with elevated levels of baseline LS, insomnia, and depression (p < .001). Path models indicated that the relationship between baseline LS and suicidal ideation (i.e., ST/SP) 2 years later was significantly mediated by both insomnia and depression. Depression was also a significant mediator between LS and SA.

CONCLUSIONS

LS is a significant predictor of suicidality 1-2 years later in adolescents. Depression mediates the association between LS and suicidal ideation and suicide attempt while insomnia appears to be a mediator for suicidal ideation rather than suicide attempt.

A bibliometric analysis of insomnia in adolescent

Background

The negative effects of insomnia on adolescents' development, academic performance, and quality of life place a burden on families, schools, and society. As one of the most important research directions for insomnia, adolescent insomnia has significant research value, social value, and practical significance. Unfortunately, there is no bibliometric analysis in this field of study. This study aims to analyze published articles using bibliometrics, summarize the current research progress and hot topics in this field systematically and exhaustively, and predict the future direction and trend of research.

Methods

For this study, the Web of Science Core Collection (WoSCC) database was searched between 2002 and 2022 for publications related to adolescent insomnia. The R-bibliometrix, VOSViewer, and CiteSpace software were utilized for bibliometric analysis.

Results

This investigation included 2468 publications from 3102 institutions in 87 countries, led by China and the United States. This field of research has entered a period of rapid development since 2017. The journal with the most publications on adolescent insomnia is Sleep, which is also the most co-cited journal. American Journal of Psychology has the highest impact factor among the top 10 journals. These papers were written by 10605 authors; notably, Liu Xianchen emerged as the author with the highest frequency of publications, while Mary A. Carskadon was the most frequently co-cited author. Mental health and comorbid diseases were the main research directions in this field. "Depression," "anxiety," "mental health," "COVID-19," "stress," "quality of life," "heart rate variability," and "attention-deficit hyperactivity disorder" were hot spots and trends in this field at the current moment.

Conclusion

The research on adolescent insomnia has social value, research value, and research potential; its development is accelerating, and an increasing number of researchers are focusing on it. This study summarized and analyzed the development process, hot spots, and trends of adolescent insomnia research using bibliometric analysis, which identified the current hot topics in this field and predicted the development trend for the future.

The Complex Association between Sleep Quality, Psychological Wellbeing, and Neurodevelopmental Disorders in Childhood

During child development, the psychophysiological state is influenced by factors such as family routine, school experiences, stressful life events, or, in general, the environmental context in which the child grows up [...].