The longitudinal relationship between sleep problems and school burnout in adolescents: A cross-lagged panel analysis

Emotion dysregulation mediates the relationship between sleep problems and externalizing symptoms in early adolescents: A four-wave longitudinal study

BACKGROUND

Despite the growing body of longitudinal research linking sleep problems and externalizing symptoms, regarding the direction of the effects of both variables, the results have been inconsistent. Given the mixed findings and inconsistent results in the literature, we propose that emotion dysregulation may link sleep problems and externalizing symptoms.

METHODS

The participants (N = 1281, 49.65 % female; M = 12.73 years at time 1, SD = 0.68) were middle school students who completed assessments for sleep problems, externalizing symptoms, and emotion dysregulation. The interval between each wave was six months, for two consecutive years. Autoregressive mediation models using longitudinal data and cross-sectional mediation models using baseline data were evaluated and compared through structural equation modeling.

RESULTS

The results revealed that severe sleep problems (at T1, T2, or T3) were associated with higher levels of externalizing symptoms later in adolescence (at T2, T3, or T4), but not vice versa. In addition, analyses of indirect effects indicated that emotion dysregulation mediated this link, such that greater sleep problems led to more emotion dysregulation, which, in turn, led to more externalizing symptoms.

CONCLUSION

The findings highlight the critical role that emotional regulation plays in the link between sleep problems and externalizing symptoms and emphasize the need for students as well as middle school administration to pay close attention to both the sleep and externalizing symptoms of early adolescents.

Trajectories of sleep problems and the longitudinal associations with mental health difficulties among Chinese adolescents

OBJECTIVE

Growing research highlights the negative impact of sleep problems on adolescent mental health. However, the developmental trajectory of sleep problems during adolescence and their relationship with mental health difficulties, including both internalizing and externalizing symptoms, remain unclear. Additionally, the direction of the effects between sleep problems and mental health difficulties is not well established. This study aims to identify the developmental trajectories of sleep problems and examine their association with mental health difficulties in both internalizing and externalizing domains.

METHOD

The study involved 1,281 Chinese middle school students (645 males, mean age at initial assessment = 12.73, SD = 0.68). Data were collected at four time points (T1, T2, T3, T4) over approximately 6-month intervals, spanning from the first semester of seventh grade to the second semester of 8th grade.

RESULTS

Latent growth modeling revealed an overall increasing trend in sleep problems. Parallel latent growth modeling indicated that trajectories of sleep problems were positively related to the developmental trends of mental health difficulties, as shown by intercept-intercept and slope-slope associations. The cross-lagged panel model demonstrated significant bidirectional associations between sleep problems and internalizing symptoms. In contrast, we observed unidirectional associations between sleep problems and externalizing symptoms. Hence, sleep problems were a significant predictor of subsequent externalizing symptoms, with no significant reverse effect observed.

CONCLUSION

These findings suggest that future research should explore whether interventions targeting sleep problems can reduce the incidence of both internalizing and externalizing symptoms. Additionally, interventions aimed at internalizing symptoms may potentially improve adolescent sleep, while those targeting externalizing symptoms may not have the same effect.

Adaptation and Validation of School Burnout Inventory-Bangla and Its Predictive Factors Among Adolescents

School burnout (SB) among adolescents is a growing concern, yet there has been limited research in Bangladesh. This study aims to address this gap by validating the School Burnout Inventory (SBI) in Bangla and investigating the predictive factors of SB among high-school-going adolescents in Bangladesh. The study employed a cross-sectional design, recruiting participants from various high schools across urban and rural areas. Data were collected through self-reported questionnaires, which included information related to demographics, COVID-19, school burnout, daytime sleepiness, insomnia, and depression. The SBI-Bangla demonstrated high reliability and validity. The mean score of SB was 20.26 (±7.84). Significant differences in SB levels were observed across different age groups, grades, locations, mother's education levels, smoking status, and self-reported COVID-19 infection status. Multiple linear regression identified age (B = 0.647, p = .010), location (B = -1.043, p = .034), depression (B = 0.270, p < .001), daytime sleepiness (B = 0.208, p < .001), and insomnia (B = 0.662, p < .001) as significant predictors of SB. The final model explained 12.3% of the variance in SB scores. Enhancing sleep hygiene and addressing psychological issues may help reduce academic burnout. This study provides valuable baseline data that can inform future research and policy formulation aimed at reducing adolescent SB in Bangladesh.

Developmental changes in school burnout: The importance of sleep and problematic Internet use

INTRODUCTION

School burnout remains a prevalent problem among adolescents; it is associated with low academic achievement and school dropout risk, in turn linked to a whole host of deleterious developmental outcomes. The current longitudinal study sought to better understand the developmental course of school burnout by testing whether poor sleep and problematic internet use each uniquely and additively explained the variance in school burnout over time.

METHOD

Data were collected four times over 18 months, 6 months apart from N = 405 adolescents, grades 9 to 11.

RESULTS

Sleep quality, but not quantity, was significantly associated with the school burnout intercept (β = -0.29); no effects were found for the slope. Problematic internet use was also significantly associated with the intercept (β = .44), but not the slope. In a combined model, both sleep quality and problematic internet use significantly predicted the school burnout intercept. The slope was only predicted by age (β = -0.21).

CONCLUSIONS

The study found partial support for the hypotheses that both poor sleep quality and problematic internet use predicted school burnout, intercept only, not the rate of change. The evidence suggests that school burnout increased across high school; however, the rate of increase slowed with age. In contrast to some previous work, study findings highlight the importance of separately considering both poor sleep and problematic internet use in understanding the development of school burnout during adolescence. N = 229.

Early life adversity and adolescent sleep problems during the COVID-19 pandemic

The COVID-19 pandemic resulted in a reorganization of adolescents' routines, especially their sleep schedules. Utilising 175 caregiver-adolescent dyads, the current study examined associations of biological (e.g., prenatal substance use), environmental (e.g., poverty), and relational (e.g., child maltreatment) subtypes of early life adversity (ELA) with various components of adolescents' sleep across the first year of the COVID-19 pandemic. Relational ELA explained unique variance in adolescents' sleep disturbances, but not other sleep components, following short- and longer-term exposure to the COVID-19 pandemic. However, the direction of this association switched such that relational ELA predicted decreased sleep disturbances during the initial phase of the U.S. COVID-19 pandemic in spring 2020 beyond pre-pandemic levels, but, over time, contributed to increased sleep disturbances beyond early-pandemic levels as the pandemic extended into the winter of 2020.

Bidirectional Association Between Multimorbidity and Frailty and the Role of Depression in Older Europeans

BACKGROUND

Although previous studies have reported an association between multimorbidity and frailty, its direction and mechanism remain unclear. This study aimed to investigate the direction of this association, as well as the role of depression among older Europeans.

METHODS

We used a cross-lagged panel design to evaluate the temporal relationship between multimorbidity and frailty and the role of depression. Multimorbidity status was assessed by the self-reporting of 14 chronic diseases. Frailty was assessed based on the frailty phenotype. The European-Depression Scale (EURO-D) was used to assess depression.

RESULTS

There was a bidirectional relationship between frailty and multimorbidity. More severe multimorbidity predicted greater frailty (β = 0.159; p < .001) and vice versa (β = 0.107; p < .001). All paths from multimorbidity to frailty were stronger than the paths from frailty to multimorbidity (b1-a1: β = 0.051; p < .001). Likewise, early multimorbidity change was a significant predictive factor for late frailty change (β = 0.064; p < .001) and vice versa (β = 0.048; p < .001). Depression in Wave 5 (T5) mediated the association between frailty in Wave 4 (T4) and multimorbidity in Wave 6 (T6; indirect effect: β = 0.004; bootstrap 95% confidence interval: 0.003, 0.006).

CONCLUSIONS

A positive, bidirectional association was observed between multimorbidity and frailty. Depression may be a potential cause of an increased risk of multimorbidity later in life in frail older adults. Early monitoring of frailty and depression may slow the progression of multimorbidity, thereby interrupting the vicious cycle.

Sleep duration change among adolescents in Canada: Examining the impact of COVID-19 in worsening inequity

Purpose

The purpose of this study was to assess if adolescent sub-populations in Canada (i.e., based on race/ethnicity, sex/gender, socioeconomic status, and urbanicity groups) experienced a larger change in sleep duration and guideline adherence between 2019 and 2020 (pre-pandemic) and the 2020-2021 (mid-pandemic) school years.

Methods

Longitudinally linked data from 2019 to 2020 (pre-pandemic) and 2020-2021 (mid-pandemic) of a prospective cohort study of secondary school students (M = 14.2, SD = 1.3 years, N = 8209) in Canada were used for analyses. Regression modelling tested the main effects of race/ethnicity, sex/gender, socioeconomic status, and urbanicity on changes in sleep duration as well as adherence to Canada's 24-h Movement Guidelines for sleep (8-10 h/night). Interactions between identity variables (race/ethnicity or sex/gender) and other main effect variables were subsequently tested.

Results

Females gained more sleep (4.5 [1.5, 7.5] min/day more) and increased guideline adherence (AOR = 1.16 [1.04, 1.30] than males on average. Asian race/ethnic identity was associated with less sleep gain than White identity -10.1 [-19.4, -0.8], but not guideline adherence. Individuals in large urban areas gained less sleep and adhered less to guidelines than individuals from any other level of urbanicity (-21.4 [-38.5, -4.2] to -15.5 [-30.7, -0.2] min/day). Higher individual SES scores were associated with greater sleep gain (linear trend: 11.16 [1.2-21.1]). The discrepancies in sleep gain and guideline adherence between males and females were significantly modified by race/ethnicity and urbanicity.

Discussion

Increases in sleep duration may be one of the few benefits to adolescents during the COVID-19 pandemic but were not equally distributed across sub-populations. Efforts to promote better sleep adherence may need to account for sex/gender differences, especially in less urbanized areas and certain racial/ethnic groups.

Development and validation of a prediction nomogram for academic burnout among Chinese adolescents: a cross-sectional study

OBJECTIVES

This study aimed to screen the potential risk factors for academic burnout among adolescents during the COVID-19 pandemic, develop and validate a predictive tool based on the risk factors for predicting academic burnout.

DESIGN

This article presents a cross-sectional study.

SETTING

This study surveyed two high schools in Anhui Province, China.

PARTICIPANTS

A total of 1472 adolescents were enrolled in this study.

OUTCOME MEASURES

The questionnaires included demographic characteristic variables, living and learning states and adolescents' academic burnout scale. Least absolute shrinkage and selection operator and multivariate logistic regression analyses were employed to screen the risk factors for academic burnout and develop a predictive model. The receiver operating characteristic (ROC) curve and decision curve analysis (DCA) were used to assess the accuracy and discrimination of the nomogram.

RESULTS

In this study, 21.70% of adolescents reported academic burnout. Multivariable logistic regression analysis showed that single-child family (OR=1.742, 95% CI: 1.243 to 2.441, p=0.001), domestic violence (OR=1.694, 95% CI: 1.159 to 2.476, p=0.007), online entertainment (>8 hours/day, OR=3.058, 95% CI: 1.634 to 5.720, p<0.001), physical activity (<3 hours/week, OR=1.686, 95% CI: 1.032 to 2.754, p=0.037), sleep duration (<6 hours/night, OR=2.342, 95% CI: 1.315 to 4.170, p=0.004) and academic performance (<400 score, OR=2.180, 95% CI: 1.201 to 3.958, p=0.010) were independent significant risk factors associated with academic burnout. The area under the curve of ROC with the nomogram was 0.686 in the training set and 0.706 in the validation set. Furthermore, DCA demonstrated that the nomogram had good clinical utility for both sets.

CONCLUSIONS

The developed nomogram was a useful predictive model for academic burnout among adolescents during the COVID-19 pandemic. It is essential to emphasise the importance of mental health and promote a healthy lifestyle among adolescents during the future pandemic.

Sleep Well, Study Well: A Systematic Review of Longitudinal Studies on the Interplay between Sleep and School Experience in Adolescence

Adolescents spend most of their daily time in school and performing school-related activities. Different aspects of their school experiences, such as school performance, psychological factors related to school, and structural factors, consistently impact adolescents' health and are likely to be intertwined with their sleep (i.e., quantity and quality, sleep disturbances). This systematic review aimed to comprehensively summarize the reciprocal and longitudinal associations between adolescents' sleep and multiple aspects of their school experience. Using multiple search strategies and applying a two-step selection process, 25 journal articles matched the eligibility criteria and were thus included in the review. The results highlighted the contribution of poor sleep quality and sleep disturbances in predicting longitudinal school experiences-related outcomes (i.e., decreasing school engagement and performance, and increasing school-related burnout, absenteeism, and bullying). At the same time, the results showed how experiences related to the school's psychological factors (e.g., high levels of school burnout and stressful environment) and structural characteristics (e.g., early school entrance time) affect youth sleep over time (i.e., decreasing sleep quality and quantity). These main findings provided novel insights into the bidirectional relationship between school experience and sleep health, highlighting the importance of more longitudinal research investigating all aspects of healthy sleep, including the size and direction of the association.

An Italian Adaptation of the Burnout Assessment Tool-Core Symptoms (BAT-C) for Students

Burnout is psychological, physical, and emotional suffering that may affect students with low or inadequate resources to face stressful events at school. Although the existing instruments are used worldwide to assess school burnout risk, they show several flaws and mainly focus on the emotional facets of the syndrome. No previous studies have developed a multi-component tool to reveal students’ burnout by simultaneously analyzing cognitive, behavioral, and emotional problems. The central core of the current study is to adapt the Burnout Assessment Tool-Core symptoms (BAT-C; Schaufeli et al., 2020), comprising four subscales, exhaustion, mental distance, cognitive impairment, and emotional impairment, for a sample of Italian students. The factor structure, the reliability, and the validity of the scale are investigated. The participants are 745 middle school students (male, 52.2%; aged 9–13, M = 11.84, and SD = 1.21). Confirmatory factor analyses confirmed the best fit of the second-order model (four first-order factors and one second-order factor). Specifically, four factors were loaded onto a main high-order factor, which constitutes the BAT-C. Our findings support the Italian adaptation of the BAT-C for students’ samples as a valid instrument for measuring the core symptoms of school burnout.

Self and parent-reported sleep problems of adolescents with childhood conduct problems and comorbid psychological problems

INTRODUCTION

Childhood conduct problems (CP) are characterized by maladaptive externalizing behaviors and are linked with poor sleep. CP are highly comorbid with other psychological problems, including attention deficit/hyperactivity disorder and depression, which are also associated with disturbed sleep. The present study examined if childhood CP and comorbid depressive and/or attentional-hyperactivity problems were prospectively associated with parent and self-reported sleep difficulties in adolescence.

METHODS

Participants (N = 744; 53% boys) from an ongoing longitudinal study in Québec, Canada were assessed for CP and comorbidities when they were between 6 and 9 years old. Participants were classified as without CP, CP only, CP and depressive symptoms, CP and attention-hyperactivity problems, or CP, depressive symptoms, and attention-hyperactivity problems. Regressions were conducted to examine the associations between comorbidity groups, parent, and self-reported sleep problems 7 years later (Median age = 15.33 years), controlling for sex, age, family income, primary caregiver education and medication.

RESULTS

Adolescents in all CP groups had higher self and parent-reported sleep problems compared to adolescents without histories of CP. Adolescents with histories of CP, depressive symptoms and attention-hyperactivity problems had more sleep problems than all other groups according to self-reports, but not parent-reports.

CONCLUSION

Childhood CP was prospectively linked to sleep problems in adolescence, and comorbid conditions exacerbated these problems, according to youth but not parents.