Data-driven, generalizable prediction of adolescent sleep disturbances in the multisite Adolescent Brain Cognitive Development Study

STUDY OBJECTIVES

Sleep disturbances are common in adolescence and associated with a host of negative outcomes. Here, we assess associations between multifaceted sleep disturbances and a broad set of psychological, cognitive, and demographic variables using a data-driven approach, canonical correlation analysis (CCA).

METHODS

Baseline data from 9093 participants from the Adolescent Brain Cognitive Development (ABCD) Study were examined using CCA, a multivariate statistical approach that identifies many-to-many associations between two sets of variables by finding combinations for each set of variables that maximize their correlation. We combined CCA with leave-one-site-out cross-validation across ABCD sites to examine the robustness of results and generalizability to new participants. The statistical significance of canonical correlations was determined by non-parametric permutation tests that accounted for twin, family, and site structure. To assess the stability of the associations identified at baseline, CCA was repeated using 2-year follow-up data from 4247 ABCD Study participants.

RESULTS

Two significant sets of associations were identified: (1) difficulty initiating and maintaining sleep and excessive daytime somnolence were strongly linked to nearly all domains of psychopathology (r2 = 0.36, p < .0001); (2) sleep breathing disorders were linked to BMI and African American/black race (r2 = 0.08, p < .0001). These associations generalized to unseen participants at all 22 ABCD sites and were replicated using 2-year follow-up data.

CONCLUSIONS

These findings underscore interwoven links between sleep disturbances in early adolescence and psychological, social, and demographic factors.

Latent Profiles of Sleep Disturbance and Impairment in Elementary School-Age Youth: Concurrent and Longitudinal Associations with Emotional, Behavioral, and Academic Functioning

OBJECTIVE

The links from youth sleep problems to emotional, behavioral, and academic functioning are well documented. Latent variable mixture modeling (LVMM) has been used to explore these relations; however, additional research is needed in diverse samples and with self-reports of sleep-related difficulties. The objectives of the current study were to identify profiles based on patterns of sleep disturbance and impairment and explore associations among profiles and functioning at baseline and over a subsequent 6-month period.

METHODS

Participants were 278 third- through fifth-grade students (M age = 9.27; 51.8% male; 51.1% Hispanic/Latine) and homeroom teachers. Children completed measures of sleep disturbance and impairment, emotion (dys)regulation, and depressive, anxiety, and anger symptoms. Teachers completed measures of youth's emotional and conduct problems, emotion (dys)regulation, and academic performance. LVMM was conducted.

RESULTS

Three profiles emerged: (1) "Average Sleep Disturbance and Impairment" (n = 148); (2) "Elevated Sleep Disturbance and Average Sleep Impairment" (n = 40); and (3) "Elevated Sleep Disturbance and Impairment" (n = 90). Overall, youth with above average sleep problems had worse functioning at baseline. Further, youth in Profile 3 exhibited increases in self-reported symptoms of depression, anxiety, and anger, as well as worsening teacher-reported academic performance and conduct problems. In contrast, youth in Profile 2 exhibited improvements in self-reported symptoms of depression, anxiety, and anger, as well as teacher-reported emotion regulation, conduct problems, and academic performance.

CONCLUSIONS

Results highlight the importance of examining self-reports of sleep problems and the need for intervention among children exhibiting elevated sleep disturbance and impairment.

Is the association between sleep and socio-emotional development mediated by weight in toddlers aged 12 to 36 months?

Introduction

Childhood is an important stage for socio-emotional development. Understanding the associations of lifestyle habits with the healthy development of social and emotional skills is crucial for better interventions early in life. This study aims to analyze the association between sleep and socio-emotional development in toddlers aged 12 to 36 months and examine whether weight mediated these associations.

Methods

This study is part of a cluster randomized controlled trial developed in Portuguese childcare centers. A sample of 344 children (176 females) enrolled in the study. Participants' anthropometrics were measured while at childcare centers using standardized procedures. Body mass index (BMI) was computed as the body weight/height2 (kg/m2) ratio. Sleep quality was collected with the Tayside Children's Sleep Questionnaire, a 10-item scale that evaluates the child's ability to initiate and maintain sleep. Two additional questions regarding sleep duration were added. Parental questionnaires assessed the child's sex and date of birth, socioeconomic status, and total energy intake (TEI). Motor (fine and gross) was assessed using Bayley-III scales and socio-emotional (SE) by the Greenspan Social-Emotional Growth Chart questionnaire. Linear regression models were used to examine the associations between sleep (duration and quality) and SE with adjustments for sex, age, BMI, mothers' education, motor development, and TEI. Mediation analysis was conducted using path analysis.

Results

SE development was significantly associated with nighttime sleep duration even when adjusted for confounders (β = 0.223; 95% CI: 0.001, 0.004 and β = 0.168; 0.0003, 0.003; respectively). Sleep quality was not significantly associated with SE development, and the weight did not explain the associations between sleep and SE development.

Conclusion

This study supports that sleep duration is directly associated with SE development in toddlers. From a public health perspective, sleep duration should be prioritized in intervention programs to improve socio-emotional development early in life.

Bidirectional associations between sleep problems and behavioural difficulties and health-related quality of life in adolescents: Evidence from the SCAMP longitudinal cohort study

Background

Sleep problems show associations with negative outcomes in both physical and mental health in adolescents, but the associations may be reciprocal. We aimed to assess bidirectional associations between sleep problems and mental health symptoms including behavioural difficulties (internalising and externalising difficulties) and low health-related quality of life (HRQoL).

Methods

A total of 6616 adolescents (52.4% females) across Greater London completed baseline assessments when they were aged 11-12 years, and 3803 of them (57.2% females) completed follow-up assessments at aged 13-15 years. Weekday and weekend sleep duration were derived from self-reported bedtime, sleep onset latency and wake time. Sleep disturbance was assessed using a standardized sleep disturbance scale. Internalising and externalising difficulties were assessed using subscales of the Strength and Difficulties Questionnaire. HRQoL was assessed using the KIDSCREEN-10 questionnaire. Cross-lagged structural equation modelling was used with multiple imputation to examine bidirectional associations between sleep problems and mental health symptoms.

Results

Females had greater internalising difficulties, worse HRQoL and more sleep disturbance than males. Persistent insufficient weekday and weekend sleep, and sleep disturbance (i.e., at both baseline and follow-up) were associated with internalising and externalising difficulties and low HRQoL at follow-up (ORs ranged from 1.53 to 3.63). Persistent externalising difficulties and low HRQoL were also associated with insufficient weekend sleep and sleep disturbance at follow-up (ORs ranged from 1.68 to 4.25). Using continuous variables, we found bidirectional associations between weekday sleep duration and HRQoL, weekend sleep duration and externalising score, sleep quality and internalising score, and sleep quality and HRQoL. The association magnitudes were mostly similar in the two directions.

Conclusions

Our study showed bidirectional associations between sleep problems and mental health symptoms during adolescence, indicating that early intervention and treatment on the first-occurring symptom may prevent the development of subsequent problems.