Sleep in adolescence: Physiology, cognition and mental health

Automated detection of cognitive impairment in clinical practice

OBJECTIVE

Cognitive impairment is now recognized as an impending public health crisis. About one-third of adults are concerned about their cognition, and the prevalence of objective cognitive impairment is much higher among those with neurological disorders. Existing screening tools are narrowly focused on detecting dementia in older adults and must be clinician-administered and scored, making them impractical for many neurology practices. This study examined the utility of a brief, self-administered, computerized cognitive screening tool, the Brief Assessment of Cognitive Health (BACH), in identifying cognitive impairment in adults.

METHODS

912 adults (ages 18-84) completed BACH and a neuropsychological battery. Multivariable models were developed to provide a BACH index score reflecting the probability of cognitive impairment for individual patients. Predictive accuracy was compared to that of the Montreal Cognitive Assessment (MoCA) in a subset of 160 older adults from a Memory Disorders clinic.

RESULTS

The final multivariable model showed good accuracy in identifying cognitively impaired individuals (c = 0·77). Compared to MoCA, BACH had superior predictive accuracy in identifying older patients with cognitive impairment (c = 0·79 vs. 0·67) as well as differentiating those with MCI or dementia from those without cognitive impairment (c = 0·86 vs. c = 0·67).

CONCLUSIONS

Results suggest that cognitive impairment can be identified in adults using a brief, self-administered, automated cognitive screening tool, and BACH provides several advantages over existing screeners: self-administered; automatic scoring; immediate results in health record; easily interpretable score; utility in wide range of patients; and flags for treatable factors that may contribute to cognitive complaints (i.e., depression, sleep problems, and stress).

Different correlation between depressive symptoms and sleep duration on weekdays/weekends among adolescents in Taiyuan, North China

OBJECTIVE

In Chinese adolescents, the co-occurrence of depressive symptoms and short sleep duration constitute a serious public health issue. This study investigates the association between depressive symptoms and sleep duration of Chinese adolescents on weekdays as well as weekends.

METHODS

A multistage random cluster selection was utilized to select 2660 adolescents in Taiyuan, China. The survey contents included demographic characteristics, sleep duration, and depressive symptoms.

RESULTS

About 41.95 % of students reported depressive symptoms with an average sleep duration of 7.71 ± 0.90 h. After adjusting for covariates, depressive symptoms were found to be positively correlated with sleep duration <6 h (OR = 1.88, 95 % CI: 1.20, 2.95) and 6 ~ h (OR = 1.61, 95 % CI: 1.18, 2.20) on weekdays, and sleep duration <6 h (OR = 2.10, 95 % CI: 1.17, 3.79) and 6 ~ hours (OR = 1.74, 95 % CI: 1.16, 2.62) on weekends compared with a sleep duration of 8 ~ hours. Only on weekdays, sleep duration of 7 ~ hours was positively correlated with depressive symptoms (OR = 1.39, 95%CI: 1.05, 1.84). On weekends, it was not associated with depressive symptoms (OR = 1.06, 95%CI: 0.82, 1.39). In subgroup analyses, female students (OR = 2.88, 1.97, 1.50) and middle school students (OR = 3.50, 2.07, 1.50) were more likely to experience depressive symptoms on weekdays with a sleep duration of <6 h, 6 ~ hours and 7 ~ hours.

LIMITATIONS

Sleep duration and depressive symptoms were self-reported measures.

CONCLUSION

The study highlights that short sleep duration (< 7 h) increases the risk of depressive symptoms among adolescents regardless of weekdays or weekends. Just on weekdays, the sleep duration of 7 ~ hours was a risk factor for depressive symptoms. Further, gender, grade, and the only-child played significant modification effects between depressive symptoms and sleep duration. To conclude, this study will assist in the effective promotion of the education of adolescents' sleep health.

Enhancing sleep health in urban American Indian/Alaska Native adolescents: Implications for culturally tailored interventions

BACKGROUND

Urban American Indian/Alaska Native (AI/AN) adolescents are vulnerable to sleep and other health-related disparities due to numerous social drivers, including historical trauma and relocation to urban areas. This study aims to identify strategies to increase protective factors and culturally tailor sleep health interventions for this population.

METHODS

Using community-based participatory research, the NAYSHAW study conducted in-depth interviews with urban AI/AN adolescents aged 12-19 years to understand critical components needed for developing a culturally sensitive sleep health intervention. Data from two qualitative subsamples (N = 46) and parent surveys (N = 110) were analyzed, focusing on factors that affect sleep health behaviors, including parental involvement, technology, and traditional practices.

RESULTS

Key findings include the detrimental impact of electronics use at night and protective effects of traditional practices on sleep. Parental involvement in sleep routines varied by adolescent's age. Adolescents desired sleep health education in interactive formats, whereas parents preferred workshops and digital applications for sleep health strategies. Findings suggest that interventions need to address electronics use and should also be culturally tailored to address the unique experiences of urban AI/AN adolescents.

CONCLUSIONS

Results underscore the importance of utilizing community-based strategies to develop culturally tailored sleep interventions for underserved populations, specifically urban AI/AN adolescents. Integrating traditional practices with evidence-based sleep health strategies can provide a holistic approach to improving sleep and overall well-being. Parental education and involvement will be critical to the success of such interventions.

The inter-related effects of alcohol use severity and sleep deficiency on semantic processing in young adults

BACKGROUND

Both alcohol misuse and sleep deficiency are associated with deficits in semantic processing. However, alcohol misuse and sleep deficiency are frequently comorbid and their inter-related effects on semantic processing as well as the underlying neural mechanisms remain to be investigated.

METHODS

We curated the Human Connectome Project data of 973 young adults (508 women) to examine the neural correlates of semantic processing in link with the severity of alcohol use and sleep deficiency. The latter were each evaluated using the first principal component (PC1) of principal component analysis of all drinking metrics and the Pittsburgh Sleep Quality Index (PSQI). We employed path modeling to elucidate the interplay among clinical, behavioral, and neural variables.

RESULTS

Among women, we observed a significant negative correlation between the left precentral gyrus (PCG) and PSQI scores. Mediation analysis revealed that the left PCG activity fully mediated the relationship between PSQI scores and word comprehension in language tasks. In women alone also, the right middle frontal gyrus (MFG) exhibited a significant negative correlation with PC1. The best path model illustrated the associations among PC1, PSQI scores, PCG activity, and MFG activation during semantic processing in women.

CONCLUSIONS

Alcohol misuse may lead to reduced MFG activation while sleep deficiency hinder semantic processing by suppressing PCG activity in women. The pathway model underscores the influence of sleep quality and alcohol consumption severity on semantic processing in women, suggesting that sex differences in these effects need to be further investigated.

Frontoparietal Response to Working Memory Load Mediates the Association between Sleep Duration and Cognitive Function in Children

Lack of sleep has been found to be associated with cognitive impairment in children, yet the neural mechanism underlying this relationship remains poorly understood. To address this issue, this study utilized the data from the Adolescent Brain Cognitive Development (ABCD) study (n = 4930, aged 9-10), involving their sleep assessments, cognitive measures, and functional magnetic resonance imaging (fMRI) during an emotional n-back task. Using partial correlations analysis, we found that the out-of-scanner cognitive performance was positively correlated with sleep duration. Additionally, the activation of regions of interest (ROIs) in frontal and parietal cortices for the 2-back versus 0-back contrast was positively correlated with both sleep duration and cognitive performance. Mediation analysis revealed that this activation significantly mediated the relationship between sleep duration and cognitive function at both individual ROI level and network level. After performing analyses separately for different sexes, it was revealed that the mediation effect of the task-related activation was present in girls (n = 2546). These findings suggest that short sleep duration may lead to deficit in cognitive function of children, particularly in girls, through the modulation of frontoparietal activation during working memory load.

Impact of an Intervention Aimed at Improving Sleep Quality in Hospitalized Children

BACKGROUND

Hospitalized children need adequate sleep to favor early recovery.

METHODS

To study the sleep pattern of children admitted to a pediatric inpatient unit, a cross-sectional study was carried out at a reference hospital in northern Spain. The main study variables were medical specialty of admission, sleep-inducing treatment, hours of sleep at home and during admission, number of nocturnal awakenings, and reasons for awakening. Differences in the hours of sleep and nighttime awakenings between the initial period and at six months were calculated using the Student's t-test.

RESULTS

We included 100 baseline patients and 100 post-intervention patients. Up to 4% of the baseline sample and 3% of the six-month sample had been prescribed a sleep-promoting drug. Regarding awakenings, 79% of the children in the baseline sample suffered awakenings, with a mean of 1.98 awakenings (range 1-13). At six months, the percentage of children who experienced awakenings decreased by 17%, with a mean of 1.34 (range 1-5). In the baseline sample, 48% were caused by nursing care, decreasing to 34% after the intervention.

CONCLUSIONS

An educational intervention with the implementation of targeted evidence-based practices is a useful measure for improving the sleep pattern by decreasing the number of awakenings.

Sexual and Gender Minority Sleep Health Disparities and Minority Stress in Early Adolescence

PURPOSE

Sleep is essential to adolescent development. Sexual and gender minority (SGM; e.g., lesbian, gay, bisexual, transgender) adults are at high risk for poor sleep, partially due to minority stress (e.g., discrimination). However, sleep has rarely been studied among SGM adolescents. In a national sample of early adolescents, we analyzed sexual minority (SM) and gender minority (GM) identity, gender incongruence, and gender nonconformity in association with sleep and tested minority and general stressors as mediators.

METHODS

We cross-sectionally analyzed data from 10,070 adolescents aged 10-14 in the Adolescent Brain Cognitive Development℠ Study. Using logistic regression models, we analyzed associations between identity (SM and GM), sexual identity discrimination, minority and general stressors (sexual identity discrimination, teasing, and conflict with parents) and sleep health (duration, latency, and disturbance). We used Baron and Kenny's method to test for mediation.

RESULTS

Participants reported sexual identity (4% SM, 4% questioning) and gender identity (0.4% GM, 0.6% questioning); 65% were White, 20% were Hispanic, and 52% were assigned male at birth. Compared to heterosexual, SM participants had higher odds of short sleep duration, long sleep latency, and sleep disturbance. GM participants and those reporting gender incongruence and nonconformity had higher odds of long sleep latency and sleep disturbance. Sexual identity discrimination and general social stressors partially mediated some associations.

DISCUSSION

SGM participants reported poorer sleep. Minority and general social stressors partially accounted for some disparities. Policies need to address SGM identity-based discrimination and challenge social norms that produce minority stress for SGM early adolescents.

Long-lasting effects of disturbing the circadian rhythm or sleep in adolescence

Circadian rhythms are endogenous, near 24-hour rhythms that regulate a multitude of biological and behavioral processes across the diurnal cycle in most organisms. Over the lifespan, a bell curve pattern emerges in circadian phase preference (i.e. chronotype), with children and adults generally preferring to wake earlier and fall asleep earlier, and adolescents and young adults preferring to wake later and fall asleep later than their adult counterparts. This well-defined shift speaks to the variability of circadian rhythmicity over the lifespan and the changing needs and demands of the brain as an organism develops, particularly in the adolescent period. Indeed, adolescence is known to be a critical period of development during which dramatic neuroanatomical changes are occurring to allow for improved decision-making. Due to the large amount of re-structuring occurring in the adolescent brain, circadian disruptions during this period could have adverse consequences that persist across the lifespan. While the detrimental effects of circadian disruptions in adults have been characterized in depth, few studies have longitudinally assessed the potential long-term impacts of circadian disruptions during adolescence. Here, we will review the evidence that disruptions in circadian rhythmicity during adolescence have effects that persist into adulthood. As biological and social time often conflict in modern society, with school start times misaligned with adolescents' endogenous rhythms, it is critical to understand the long-term impacts of disrupted circadian rhythmicity in adolescence.

Causality Investigation between Gut Microbiome and Sleep-Related Traits: A Bidirectional Two-Sample Mendelian Randomization Study

Recent research has highlighted associations between sleep and microbial taxa and pathways. However, the causal effect of these associations remains unknown. To investigate this, we performed a bidirectional two-sample Mendelian randomization (MR) analysis using summary statistics of genome-wide association studies (GWAS) from 412 gut microbiome traits (N = 7738) and GWAS studies from seven sleep-associated traits (N = 345,552 to 386,577). We employed multiple MR methods to assess causality, with Inverse Variance Weighted (IVW) as the primary method, alongside a Bonferroni correction ((p < 2.4 × 10-4) to determine significant causal associations. We further applied Cochran's Q statistical analysis, MR-Egger intercept, and Mendelian randomization pleiotropy residual sum and outlier (MR-PRESSO) for heterogeneity and pleiotropy assessment. IVW estimates revealed 79 potential causal effects of microbial taxa and pathways on sleep-related traits and 45 inverse causal relationships, with over half related to pathways, emphasizing their significance. The results revealed two significant causal associations: genetically determined relative abundance of pentose phosphate decreased sleep duration (p = 9.00 × 10-5), and genetically determined increase in fatty acid level increased the ease of getting up in the morning (p = 8.06 × 10-5). Sensitivity analyses, including heterogeneity and pleiotropy tests, as well as a leave-one-out analysis of single nucleotide polymorphisms, confirmed the robustness of these relationships. This study explores the potential causal relationships between sleep and microbial taxa and pathways, offering novel insights into their complex interplay.

Mid-life sleep is associated with cognitive performance later in life in aging American Indians: data from the Strong Heart Study

Background

Sleep-related disorders have been associated with cognitive decline and neurodegeneration. American Indians are at increased risk for dementia. Here, we aim to characterize, for the first time, the associations between sleep characteristics and subsequent cognitive performance in a sample of aging American Indians.

Methods

We performed analyses on data collected in two ancillary studies from the Strong Heart Study, which occurred approximately 10 years apart with an overlapping sample of 160 American Indians (mean age at follow-up 73.1, standard deviation 5.6; 69.3% female and 80% with high school completion). Sleep measures were derived by polysomnography and self-reported questionnaires, including sleep timing and duration, sleep latency, sleep stages, indices of sleep-disordered breathing, and self-report assessments of poor sleep and daytime sleepiness. Cognitive assessment included measures of general cognition, processing speed, episodic verbal learning, short and long-delay recall, recognition, and phonemic fluency. We performed correlation analyses between sleep and cognitive measures. For correlated variables, we conducted separate linear regressions. We analyzed the degree to which cognitive impairment, defined as more than 1.5 standard deviations below the average Modified Mini Mental State Test score, is predicted by sleep characteristics. All regression analyses were adjusted for age, sex, years of education, body mass index, study site, depressive symptoms score, difference in age from baseline to follow-up, alcohol use, and presence of APOE e4 allele.

Results

We found that objective sleep characteristics measured by polysomnography, but not subjective sleep characteristics, were associated with cognitive performance approximately 10 years later. Longer sleep latency was associated with worse phonemic fluency (β = -0.069, p = 0.019) and increased likelihood of being classified in the cognitive impairment group later in life (odds ratio 1.037, p = 0.004). Longer duration with oxygen saturation < 90% was associated with better immediate verbal memory, and higher oxygen saturation with worse total learning, short and long-delay recall, and processing speed.

Conclusion

In a sample of American Indians, sleep characteristics in midlife were correlated with cognitive performance a decade later. Sleep disorders may be modifiable risk factors for cognitive impairment and dementia later in life, and suitable candidates for interventions aimed at preventing neurodegenerative disease development and progression.

Exposure to maternal experiences of IPV in early childhood and sleep health in adolescence

BACKGROUND

Half of US women will experience intimate partner violence (IPV), and nearly all children in families experiencing such violence will be exposed. The negative effects of IPV exposure on children's mental and physical health are well-documented; however, less is known about effects on children's sleep health, a key marker of well-being.

OBJECTIVE

This study examines the associations of early childhood exposure to maternal experiences of IPV with sleep health in adolescence, focusing on multiple dimensions of sleep health and differences by child sex.

PARTICIPANTS AND SETTING

We rely on data from the Future of Families and Child Wellbeing Study, a population-based study following 5000 children in large US cities, from birth to age 15. Analyses are based on 2687 adolescents interviewed at the year-15 follow-up.

METHODS

Early childhood exposure to IPV is based on mothers' reports of her experiences of IPV from the child's birth to age 5. Adolescent sleep health is measured using 6 items approximating the BEARS sleep problem scale, at age 15. We estimate multivariate linear regression models to examine associations of early childhood IPV exposure with adolescent sleep health and stratify models by child sex.

RESULTS

Early childhood IPV exposure is associated with worse overall sleep health (β = 0.08; p < 0.001) and multiple dimensions of poor sleep health in adolescence. Associations are notably stronger among girls than boys.

CONCLUSIONS

The strong and lasting associations of early childhood exposure to IPV with adolescents' sleep health, particularly among girls, has important consequences for addressing adolescent health disparities.

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.

The Impact of the Double School Shift System on Lifestyle Behaviors Among Mexican Adolescents

PURPOSE

Early school start times could adversely impact adolescent sleep duration. They could also impact other behaviors like diet and physical activity, either directly or indirectly through effects on sleep. We examined whether the double school shift system was associated with sleep, diet, and physical activity behaviors among Mexican adolescents.

METHODS

The analytic sample included 305 Mexican adolescents from a cohort study (on average 14.53 ± 1.75 years old and 51% male). Sleep and physical activity were measured with wrist actigraphy, while diet and other lifestyle behaviors were assessed with questionnaires. Regression analyses were conducted to compare lifestyle behaviors between the morning and afternoon school shifts, adjusting for potential confounders.

RESULTS

Adolescents attending the morning school shift (44%) had pronounced differences in sleep compared to those attending afternoon shift, including a 1.77-hour shorter sleep duration on weekdays (95% CI -1.55, -2.00), a 0.40-hour longer sleep duration on weekends (95% CI 0.10, 0.70), higher social jetlag (1.07 hours with a 95% CI of 0.87, 1.27), and an earlier chronotype. Morning shift students also had 0.85 hours longer sedentary time (95% CI 0.61, 1.10) and higher consumption of a meat and starchy food dietary pattern. Among boys only, morning shift was associated with a lower likelihood of smoking and higher consumption of a breakfast pattern.

DISCUSSION

Overall, attending a morning school shift was associated with shorter sleep, more social jetlag, greater sedentary time, and higher consumption of a meat and starchy diet. However, among boys, a few healthier behaviors were observed for the morning versus afternoon shift.

Exploring the Association Between Structural Racism and Mental Health: Geospatial and Machine Learning Analysis

BACKGROUND

Structural racism produces mental health disparities. While studies have examined the impact of individual factors such as poverty and education, the collective contribution of these elements, as manifestations of structural racism, has been less explored. Milwaukee County, Wisconsin, with its racial and socioeconomic diversity, provides a unique context for this multifactorial investigation.

OBJECTIVE

This research aimed to delineate the association between structural racism and mental health disparities in Milwaukee County, using a combination of geospatial and deep learning techniques. We used secondary data sets where all data were aggregated and anonymized before being released by federal agencies.

METHODS

We compiled 217 georeferenced explanatory variables across domains, initially deliberately excluding race-based factors to focus on nonracial determinants. This approach was designed to reveal the underlying patterns of risk factors contributing to poor mental health, subsequently reintegrating race to assess the effects of racism quantitatively. The variable selection combined tree-based methods (random forest) and conventional techniques, supported by variance inflation factor and Pearson correlation analysis for multicollinearity mitigation. The geographically weighted random forest model was used to investigate spatial heterogeneity and dependence. Self-organizing maps, combined with K-means clustering, were used to analyze data from Milwaukee communities, focusing on quantifying the impact of structural racism on the prevalence of poor mental health.

RESULTS

While 12 influential factors collectively accounted for 95.11% of the variability in mental health across communities, the top 6 factors-smoking, poverty, insufficient sleep, lack of health insurance, employment, and age-were particularly impactful. Predominantly, African American neighborhoods were disproportionately affected, which is 2.23 times more likely to encounter high-risk clusters for poor mental health.

CONCLUSIONS

The findings demonstrate that structural racism shapes mental health disparities, with Black community members disproportionately impacted. The multifaceted methodological approach underscores the value of integrating geospatial analysis and deep learning to understand complex social determinants of mental health. These insights highlight the need for targeted interventions, addressing both individual and systemic factors to mitigate mental health disparities rooted in structural racism.

The association between sleep duration and cardiometabolic risk among children and adolescents in the United States (US): A NHANES study

PURPOSE

This work aims to assess the association of sleep duration with cardiometabolic risk (adiposity, blood pressure, lipids, albuminuria and A1C) and to investigate lifestyle factors (physical activity, light exposure, caffeine consumption and sugar consumption) associated with sleep duration in children.

METHODS

A nationally representative sample of 3907 children ages 6-17 years enrolled in NHANES from 2011 to 2014 was included in this cross-sectional study. Sleep duration was defined as the daily average time spent sleeping over 7 days as measured by a physical activity monitor (PAM). Participants without valid sleep data for ≥95% of the study were excluded. Regression models were adjusted for age, sex, race, body mass index (BMI) Z score, physical activity and light exposure.

RESULTS

In adjusted regression models, longer sleep duration was associated with lower systolic blood pressure index (β = -3.63 * 10-5, 95% CI -6.99 * 10-5, -2.78 * 10-6, p = 0.035) and BMI Z score (β = -0.001, 95% CI -0.001, 0.000, p = 0.002). In logistic regression models, longer sleep duration was associated with lower odds of obesity (OR = 0.998, 95% CI 0.997, 0.999, p < 0.001) and overweight status (OR = 0.998, 95% CI 0.997, 0.999, p = 0.004). Greater light exposure (β = 6.64 * 10-5, 95% CI 3.50 * 10-5, 9.69 * 10-5, p < 0.001) and physical activity (β = 0.005, 95% CI 0.004, 0.006, p < 0.001) were associated with longer sleep.

CONCLUSION

Longer sleep duration was associated with lower blood pressure and adiposity measures in children. Improving sleep quality by increasing physical activity and light exposure in childhood may decrease the lifetime risk of cardiometabolic disease.

Disengagement coping and sleep problems among trauma-exposed adolescents

BACKGROUND

The formation of healthy sleep patterns is a critical component of positive adolescent development. Dysregulated sleep habits can put youth at risk for the development of a multitude of inimical outcomes, particularly among those who are exposed to a traumatic event.

DESIGN AND METHODS

The present study investigated the links between voluntary disengagement coping (e.g., avoidance, denial, wishful thinking) and sleep outcomes among 86 trauma-exposed and non-exposed adolescents between the ages of 12-17 (Mage = 15.44, SD = 1.51; 41.9% female).

RESULTS

The relationship between voluntary disengagement coping and sleep outcomes was significant only among trauma-exposed adolescents, such that greater use of voluntary disengagement strategies was associated with greater sleep disturbances and greater daytime dysfunction.

CONCLUSIONS

Targeting disengagement coping may be an important strategy to improve sleep health among trauma-exposed adolescents. Continued efforts in improving the efficacy of trauma-exposed adolescent intervention strategies are needed.

Sleep and mental health among Chinese adolescents: the chain-mediating role of physical health perception and school adjustment

OBJECTIVE

Sleep problems and their detrimental effects on adolescents' physical and mental health have received substantial attention. Prior studies have focused mainly on the direct association between sleep and mental health; however, little is known about the underlying mediating mechanism. To address this gap, the present study constructed a chain mediation model to examine the association between sleep deficiency and mental health status in adolescents, by introducing two mediating variables-physical health perception and school adjustment.

METHODS

A sample of 7530 senior high school students completed a battery of self-report questionnaires measuring their sleep duration, mental health status, physical health perception, and school adjustment. Data were collected from the Database of Youth Health at Shandong University. All the measures showed good reliability and validity in the present study. Data were analyzed using SPSS 25.0 and the SPSS PROCESS.

RESULTS

The results were as follows: (1) Sleep duration was significantly associated with physical health perception and mental health. (2) Physical health perception partially mediated the association between sleep and mental health. (3) Physical health perception and school adjustment played a chain mediating role between sleep and mental health. In conclusion, sleep not only directly associated with mental health among adolescents, but also influences mental health by the chain mediating effect of perception of physical health and school adjustment.

CONCLUSION

These findings in the present study contribute to understanding the mechanisms underlying the association between sleep and mental health and have important implications for interventions aimed at improving mental health status among adolescents in China. Our results indicated that promoting adequate sleep duration and improving sleep quality are possible key mental health promotion strategies for adolescents.

Development and psychometric properties of an instrument to measure sleep behavior self-regulation in adolescent students

Background

The prevalence of inadequate sleep among adolescents is a significant worry due to its potential to adversely affect their health and academic performance. Addressing this matter necessitates a comprehensive grasp of the underlying factors influencing sleep regulation and the formulation of evidence-based interventions to counteract its detrimental consequences. Hence, the central objective of this study is to create and assess a dependable questionnaire designed to evaluate adolescents' self-regulation of sleep behavior.

Methods

In this cross-sectional study, data from 401 high school students randomly selected from west Iran were incorporated and subjected to psychometric assessments. The average age of the participants was 16.5 ± 0.92. Initially, 136 preliminary items were formulated, drawing from a contextual framework and comprehensive literature review. The subsequent steps involved specialized analyses, including content validity analysis, item analysis, exploratory and confirmatory factor analysis, as well as convergent validity analysis.

Results

Both exploratory and confirmatory factor analyses support a strong structural model, including factors like self-control, outcome expectation, goal setting, and self-efficacy, which are linked to regulating sleep behavior. The model fit was satisfactory. The instrument had 22 items which demonstrated good internal consistency, adequate test-retest reliability, and evidence of convergent validity.

Conclusion

In future studies exploring sleep behavior, the present questionnaire, which has demonstrated initial validity and reliability, holds the potential to provide valuable assistance in evaluating and enhancing self-regulation in sleep behavior, particularly within school environments.

Altered neuronal response to visual food stimuli in adolescents undergoing chronic sleep restriction

STUDY OBJECTIVES

Poor sleep in adolescents can increase the risk of obesity, possibly due to changes in dietary patterns. Prior neuroimaging evidence, mostly in adults, suggests that lacking sleep results in increased response to food cues in reward-processing brain regions. Needed is a clarification of the mechanisms by which food reward processing is altered by the kind of chronic sleep restriction (SR) typically experienced by adolescents. This study aimed to elucidate the impact of sleep duration on response to visual food stimuli in healthy adolescents using functional neuroimaging, hypothesizing increased reward processing response after SR compared to a well-rested condition.

METHODS

Thirty-nine healthy adolescents, 14-17 years old, completed a 3-week protocol: (1) sleep phase stabilization; (2) SR (~6.5 h nightly); and (3) healthy sleep (HS) duration (~9 h nightly). Participants underwent functional MRI while performing a visual food paradigm. Contrasts of food versus nonfood responses were compared within-subject between conditions of SR and HS.

RESULTS

Under SR, there was a greater response to food stimuli compared to HS in a voxel cluster including the left ventral tegmental area and substantia nigra. No change in food appeal rating due to the sleep manipulation was detected.

CONCLUSIONS

Outcomes of this study suggest that SR, as commonly experienced by healthy adolescents, results in the elevated dopaminergic drive of the reward network that may augment motivation to seek food in the context of individual food appeal and inhibitory profiles. Countermeasures that reduce food salience could include promoting consistent HS habits.

Sleep Habits, Academic Performance and Health Behaviors of Adolescents in Southern Greece

Adolescents often experience insufficient sleep and have unhealthy sleep habits. Our aim was to investigate the sleep patterns of secondary education students in Heraklion, Crete, Greece and their association with school performance and health habits. We conducted a community-based cross-sectional study with 831 students aged 13-19 years who completed an online self-reported questionnaire related to sleep and health habits. The data are mostly numerical or categorical, and an analysis was performed using t-tests, chi-square tests and multiple logistic regression. During weekdays, the students slept for an average of 7 ± 1.1 h, which is significantly lower than the 7.8 ± 1.5 h average on weekends (p < 0.001). Nearly 79% reported difficulty waking up and having insufficient sleep time, while 73.8% felt sleepy at school at least once a week. Having sufficient sleep time ≥ 8 h) was positively correlated with better academic performance (OR: 1.48, CI: 1.06-2.07, p = 0.022) and frequent physical exercise (never/rarely: 13.5%, sometimes: 21.2%, often: 65.3%; p = 0.002). Conversely, there was a negative correlation between adequate sleep and both smoking (OR: 0.29, CI: 0.13-0.63) and alcohol consumption (OR: 0.51, CI: 0.36-0.71, p = 0.001). In conclusion, this study shows that students in Heraklion, Crete frequently experience sleep deprivation, which is associated with compromised academic performance, reduced physical activity and an increased likelihood of engaging in unhealthy behaviors like smoking and alcohol consumption.

Associations between muscle dysmorphia symptomatology and sleep duration and difficulty in the Canadian Study of Adolescent Health Behaviors

OBJECTIVES

Prior research has shown links between mental health symptomatology and poor sleep. However, associations between muscle dysmorphia symptomatology and poor sleep remain unknown, which was the aim of this study.

METHODS

Data from the Canadian Study of Adolescent Health Behaviors (2021-2022) were analyzed (N = 912). Multinomial logistic regression analyses and logistic regression analyses were used to determine the association between muscle dysmorphia symptomatology and average sleep duration (5 hours or less, 6 hours, 7 hours, and 8 or more hours) and difficulty falling or staying asleep over a 2-week period.

RESULTS

Findings indicated significant associations between muscle dysmorphia symptomatology and shorter sleep duration and greater sleep difficulty in both cross-sectional and prospective analyses.

CONCLUSIONS

The findings from this study underscore poor sleep as a correlate of muscle dysmorphia symptomatology among adolescents and young adults, emphasizing the need for screening and interventions in healthcare settings.

Associations between receiving non-consensual image and video sexts and average sleep duration among adolescents and young adults

Background Sexting is the sending and receiving of nude or partially nude images or videos. Despite it being a part of contemporary relationships, it can have adverse effects. This is particularly the case when receiving non-consensual sexts. To date, there remains a gap in the literature on whether receiving non-consensual sexts is associated with poor sleep. Therefore, the aim of this study was to determine the association between receiving non-consensual sexts and average sleep duration. Methods Data from Wave 2 (2022) of the Canadian Study of Adolescent Health Behaviours (N =906) were analysed. Multinomial logistic regression analyses were used to determine the association between receiving non-consensual sexts (both image and video) in the past 12months and average sleep duration (≤5h, 6h, 7h, 8h, and ≥9h) in the past 2weeks. Analyses were stratified by gender. Results Girls and women who received non-consensual image and video sexts, compared to those who did not, were more likely to report ≤5h of average sleep in the past 2weeks, relative to 8h of average sleep. There were no significant findings among boys and men. Conclusion Findings underscore that receiving non-consensual image and video sexts may negatively impact sleep among girls and women, which may be contextualised by trauma responses experienced because of gender-based sexual violence. Healthcare and mental health professionals should be made aware of this association to provide effective care to girls and women.

Interactive Screen-Based Activities Predict Worse Actigraphic Sleep Health That Night Among Adolescents

PURPOSE

To determine the micro-longitudinal effects of duration and timing of screen-based activities on sleep within and between adolescents.

METHODS

Daily survey and actigraphy data from the age 15 wave of the Future of Families and Child Wellbeing Study were analyzed using multilevel modeling. Four hundred seventy five adolescents provided three or more days of valid daily survey and nighttime sleep data.

RESULTS

Within-person results showed that on days when adolescents played video games more than their daytime average ± SE (1.3 ± 1.2 hours), sleep onset (6 ± 2 minutes, p < .01) and midpoint (4 ± 2 minutes, p < .02) were delayed for each additional hour of gaming. Between-person results showed that for each hour adolescents used screens to communicate with friends across the day, sleep onset was later (11 ± 3 minutes, p < .01), sleep midpoint was later (8 ± 3 minutes, p < .01), and sleep duration was shorter (-5 ± 2 minutes, p < .03). Adolescents who used screens to communicate with friends or play video games in the hour before bed had later sleep onset (30 ± 14 minutes, p < .03) and midpoint (25 ± 13 minutes, p < .05).

DISCUSSION

Among adolescents, passive screen usage such as browsing the Internet or watching videos may not affect sleep timing or duration, but limiting interactive screen-based activities could protect adolescent sleep health and well-being.

Disruption of Circadian Sleep/Wake Rhythms in Infants May Herald Future Development of Autism Spectrum Disorder

We investigated whether the abnormal rhythms in infants are related to the future development of autism spectrum disorder (ASD), using a questionnaire from September to October 2016. The parents of 160 children with ASD (male, n = 123; female, n = 37) were recruited from two hospitals in K and H cities, and as a control group, 145 children (male, n = 75; female, n = 70) were recruited from four nursery schools in T city. The associations between ASD and bedtime and waking time on weekdays and weekends in infancy (<1 years of age), at 1-3 years, and at 3-5 years of ages were studied using a multivariable logistic regression analysis. In particular, at <3 years of age, the following factors were associated with an increased prevalence of ASD in the future: (1) short sleep periods (<8 h); (2) taking a long time to fall asleep (>60 min); (3) sleep beginning after 22:00; (4) a wake-up time after 08:00; and (5) frequent (>3 times) and long-term awakening periods (>60 min). The misalignment and/or shift of the circadian rhythm in infants may be one of the precursors and/or risk factors for the future development of ASD.

Tobacco Smoke Exposure and Sleep Duration among U.S. Adolescents

OBJECTIVES

Tobacco smoke exposure (TSE) and poor sleep are public health problems with their own set of consequences. This study assessed whether TSE was associated with sleep duration among U.S. adolescents.

METHOD

We conducted a secondary analysis of 2013-2018 National Health and Nutrition Examination Survey data including 914 nontobacco-using adolescents ages 16-19 years. TSE measures included cotinine and self-reported home TSE groups including no home TSE, thirdhand smoke (THS) exposure, and secondhand smoke (SHS)+THS exposure. Sleep duration was assessed in hours and categorically as insufficient sleep (recommended hours). Weighted multiple linear regression and multinomial regression models were conducted.

RESULTS

Adolescents with higher log-cotinine levels had higher number of sleep hours (β = 0.31, 95%CI = 0.02,0.60) and were at increased odds of reporting excess sleep (AOR = 1.41, 95%CI = 1.40,1.42), but were at reduced odds of reporting insufficient sleep (AOR = 0.88, 95%CI = 0.87,0.89). Compared to adolescents with no home TSE, adolescents with home THS exposure and home SHS+THS exposure were at increased odds of reporting insufficient sleep (AOR = 2.27, 95%CI = 2.26,2.29; AOR = 2.75, 95%CI = 2.72,2.77, respectively) and excess sleep (AOR = 1.89, 95%CI = 1.87,1.90; AOR = 5.29, 95%CI = 5.23,5.34, respectively).

CONCLUSIONS

TSE may affect insufficient and excess sleep duration among adolescents. Eliminating TSE may promote adolescent respiratory and sleep health.

Developmental alcohol exposure is exhausting: Sleep and the enduring consequences of alcohol exposure during development

Prenatal alcohol exposure is the leading nongenetic cause of human intellectual impairment. The long-term impacts of prenatal alcohol exposure on health and well-being are diverse, including neuropathology leading to behavioral, cognitive, and emotional impairments. Additionally negative effects also occur on the physiological level, such as the endocrine, cardiovascular, and immune systems. Among these diverse impacts is sleep disruption. In this review, we describe how prenatal alcohol exposure affects sleep, and potential mechanisms of those effects. Furthermore, we outline the evidence that sleep disruption across the lifespan may be a mediator of some cognitive and behavioral impacts of developmental alcohol exposure, and thus may represent a promising target for treatment.

Relationship between accelerometer-measured sleep duration and Stroop performance: a functional near-infrared spectroscopy study among young adults

Objectives

Short sleep is becoming more common in modern society. This study aimed to explore the relationship between accelerometer-measured sleep duration and cognitive performance among young adults as well as the underlying hemodynamic mechanisms.

Methods

A total of 58 participants were included in this study. Participants were asked to wear an ActiGraph GT3X+ accelerometer to identify their sleep duration for 7 consecutive days. Cognitive function was assessed by the Stroop test. Two conditions, including the congruent and incongruent Stroop, were set. In addition, stratified analyses were used to examine sensitivity. 24-channel functional near-infrared spectroscopy (fNIRS) equipment was applied to measure hemodynamic changes of the prefrontal cortex (PFC) during cognitive tasks.

Results

Results showed that sleep duration was positively associated with accuracy of the incongruent Stroop test (0.001 (0.000, 0.002), p = 0.042). Compared with the regular sleep (≥7 h) group, lower accuracy of the incongruent Stroop test (-0.012 (-0.023, -0.002), p = 0.024) was observed in the severe short sleep (<6 h). Moreover, a stratified analysis was conducted to examining gender, age, BMI, birthplace, and education's impact on sleep duration and the incongruent Stroop test accuracy, confirming a consistent correlation across all demographics. In the severe short sleep group, the activation of left middle frontal gyri and right dorsolateral superior frontal gyri were negatively associated with the cognitive performance.

Conclusions

This study emphasized the importance of maintaining enough sleep schedules in young college students from a fNIRS perspective. The findings of this study could potentially be used to guide sleep time in young adults and help them make sleep schemes.

The sleep-circadian interface: A window into mental disorders

Sleep, circadian rhythms, and mental health are reciprocally interlinked. Disruption to the quality, continuity, and timing of sleep can precipitate or exacerbate psychiatric symptoms in susceptible individuals, while treatments that target sleep-circadian disturbances can alleviate psychopathology. Conversely, psychiatric symptoms can reciprocally exacerbate poor sleep and disrupt clock-controlled processes. Despite progress in elucidating underlying mechanisms, a cohesive approach that integrates the dynamic interactions between psychiatric disorder with both sleep and circadian processes is lacking. This review synthesizes recent evidence for sleep-circadian dysfunction as a transdiagnostic contributor to a range of psychiatric disorders, with an emphasis on biological mechanisms. We highlight observations from adolescent and young adults, who are at greatest risk of developing mental disorders, and for whom early detection and intervention promise the greatest benefit. In particular, we aim to a) integrate sleep and circadian factors implicated in the pathophysiology and treatment of mood, anxiety, and psychosis spectrum disorders, with a transdiagnostic perspective; b) highlight the need to reframe existing knowledge and adopt an integrated approach which recognizes the interaction between sleep and circadian factors; and c) identify important gaps and opportunities for further research.

The Negative Effects of Travel on Student Athletes Through Sleep and Circadian Disruption

Collegiate athletes must satisfy the academic obligations common to all undergraduates, but they have the additional structural and social stressors of extensive practice time, competition schedules, and frequent travel away from their home campus. Clearly such stressors can have negative impacts on both their academic and athletic performances as well as on their health. These concerns are made more acute by recent proposals and decisions to reorganize major collegiate athletic conferences. These rearrangements will require more multi-day travel that interferes with the academic work and personal schedules of athletes. Of particular concern is additional east-west travel that results in circadian rhythm disruptions commonly called jet lag that contribute to the loss of amount as well as quality of sleep. Circadian misalignment and sleep deprivation and/or sleep disturbances have profound effects on physical and mental health and performance. We, as concerned scientists and physicians with relevant expertise, developed this white paper to raise awareness of these challenges to the wellbeing of our student-athletes and their co-travelers. We also offer practical steps to mitigate the negative consequences of collegiate travel schedules. We discuss the importance of bedtime protocols, the availability of early afternoon naps, and adherence to scheduled lighting exposure protocols before, during, and after travel, with support from wearables and apps. We call upon departments of athletics to engage with sleep and circadian experts to advise and help design tailored implementation of these mitigating practices that could contribute to the current and long-term health and wellbeing of their students and their staff members.

Psychosocial Determinants of Sleep Behavior and Healthy Sleep Among Adolescents: A Two-Wave Panel Study

To date, it remains unknown which psychosocial determinants identified by several leading behavior change theories are associated with different sleep parameters among adolescents. Therefore, this study investigates whether changes in knowledge about healthy sleep, attitude toward healthy sleep and going to bed on time, self-efficacy to engage in healthy sleep behavior, perceived parental and peer norms, perceived barriers (e.g., worrying, fear of missing out), and perceived support (e.g., bedtime rules, encouragement) related to healthy sleep are associated with changes in adolescents' sleep duration on school days and free days and sleep quality over a period of 1 year. Two-wave data of 1648 Flemish adolescents (mean age = 15.01, SD = 0.65, 46.3% female) were analyzed using linear models. Increased levels of parental social support, positive attitude towards and perceived advantages of healthy sleep, norm-knowledge, and perceived peer behavior were associated with sleep duration, with parental social support having the strongest association. Increased levels of perceived barriers were associated with decreased levels of sleep quality parameters, and increased levels of self-efficacy, positive attitude, and parental modeling were associated with improved sleep quality parameters, with perceived barriers having the strongest association. The current results indicate that behavior change theories are useful in the context of adolescent sleep behavior and suggest that perceived parental support (i.e., bedtime rules) and perceived barriers are most strongly associated with adolescents' sleep duration and/or quality.

Neighborhood determinants of sleep and the moderating role of cultural factors among native adolescents

OBJECTIVE

This study examined the association between neighborhood social environment and sleep among urban American Indian and Alaska Native (AI/AN) adolescents as well as the moderating role of cultural factors in this association.

METHOD

The analytic sample included 133 urban AI/AN adolescents (age 12-16, 57.1% female, Mage = 14.03, SDage = 1.35). Perceived neighborhood social environment included safety and cohesion. Cultural factors included AI/AN cultural identification and historical loss. Sleep duration, efficiency, and wake after sleep onset (WASO) were measured via actigraphy. Sleep disturbance was measured via a questionnaire.

RESULTS

Greater neighborhood safety was significantly associated with lower sleep disturbance (b = -2.17, SE = 0.8, p = .008), higher sleep efficiency (b = 1.75, SE = 0.64, p = .006), and lower WASO (b = -8.60, SE = 3.34, p = .01). Neighborhood cohesion was not associated with any sleep outcomes. Cultural factors moderated the association between neighborhood social environment and sleep outcomes (p < .05). Specifically, both neighborhood safety and cohesion were associated with lower sleep disturbance, only among individuals reporting higher levels of AI/AN cultural identification. Further, neighborhood safety was associated with greater sleep efficiency and lower WASO (i.e., better sleep) only among adolescents with higher contemplation of historical loss.

CONCLUSIONS

Findings highlight the importance of considering cultural factors in addressing sleep and health disparities. AI/AN cultural identification and a sense of historical loss may be important targets for identifying adolescents who might benefit the most from policies and interventions focused on improving the social environment in order to improve sleep and other health outcomes. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Bidirectional Associations Between Daily Sleep and Wake Behaviors in Urban American Indian/Alaska Native Youth

PURPOSE

This is the first study to examine daily, bidirectional associations between sleep and wake behaviors/mood in urban American Indian/Alaska Native (AI/AN) adolescents.

METHODS

Participants were 142 urban AI/AN adolescents (mean age = 14 years, 58% female). Sleep was measured with actigraphy (total sleep time [TST] and sleep efficiency) and daily diary (bedtime, wakeup time, and sleep quality) over seven consecutive days. Wake behaviors (caffeine consumption, physical activity, participation in cultural activities, and electronic use after 8p.m.) and mood upon awakening (higher rating indicates greater happiness) were measured via daily diary for seven consecutive days. Multilevel models examined the degree to which nightly sleep predicted next day's wake behaviors and, conversely, wake behaviors and mood predicted nightly sleep, controlling for age, gender, and weekday/weekend.

RESULTS

Earlier bedtime and wakeup times predicted greater participation in physical activity the following day. Later bedtime and wakeup time, worse sleep quality, and shorter TST predicted greater electronic use the following night. Earlier bedtime and wakeup time and better sleep quality predicted higher mood ratings. Conversely, greater caffeine consumption during the day predicted both later bedtime and wakeup time. Participation in cultural activities is predicted later bedtime. More nighttime electronic use predicted both later bedtime and wakeup time, poorer sleep quality, and worse TST and sleep efficiency. Higher mood ratings in the morning predicted earlier bedtime and later wakeup time.

DISCUSSION

Findings highlight dynamic associations between sleep and wake behaviors and mood in AI/AN adolescents and may elucidate novel pathways for intervention and future research.

Sleep Quality and Cognitive Abilities in the Greek Cohort of Epirus Health Study

Purpose

Sleep is essential to all human body functions as well as brain functions. Inadequate sleep quantity and poor sleep quality have been shown to directly affect cognitive functioning and especially memory. The primary aim of the present study was to investigate the association of sleep quality with cognitive abilities cross-sectionally in a middle-aged Greek population and secondarily to examine this association prospectively in a smaller group of these participants.

Patients and Methods

A total of 2112 healthy adults aged 25-70 years (mean: 46.7±11.5) from the Epirus Health Study cohort were included in the analysis and 312 of them participated in secondary prospective analysis. Sleep quality was measured by the Pittsburgh Sleep Quality Index (PSQI) scale and cognition was assessed in primary cross-sectional analyses with three neuropsychological tests, namely the Verbal Fluency test, the Logical Memory test and the Trail Making test, and in secondary prospective analyses with online versions of Posner cueing task, an emotional recognition task, the Corsi block-tapping task and the Stroop task. Statistical analysis was performed using multivariable linear regression models adjusted for age, sex, education, body mass index and alcohol consumption.

Results

Attention/processing speed was the only cognitive domain associated cross-sectionally with PSQI score. Specifically, participants with better self-reported sleep quality performed faster on the Trail Making Test - Part A (β= 0.272 seconds, 95% CI 0.052, 0.493).

Conclusion

Further studies are needed to clarify the association of sleep quality with cognition, especially in middle-aged people that are still in productive working years.

The interaction effects of age, APOE and common environmental risk factors on human brain structure

Mounting evidence suggests considerable diversity in brain aging trajectories, primarily arising from the complex interplay between age, genetic, and environmental risk factors, leading to distinct patterns of micro- and macro-cerebral aging. The underlying mechanisms of such effects still remain unclear. We conducted a comprehensive association analysis between cerebral structural measures and prevalent risk factors, using data from 36,969 UK Biobank subjects aged 44-81. Participants were assessed for brain volume, white matter diffusivity, Apolipoprotein E (APOE) genotypes, polygenic risk scores, lifestyles, and socioeconomic status. We examined genetic and environmental effects and their interactions with age and sex, and identified 726 signals, with education, alcohol, and smoking affecting most brain regions. Our analysis revealed negative age-APOE-ε4 and positive age-APOE-ε2 interaction effects, respectively, especially in females on the volume of amygdala, positive age-sex-APOE-ε4 interaction on the cerebellar volume, positive age-excessive-alcohol interaction effect on the mean diffusivity of the splenium of the corpus callosum, positive age-healthy-diet interaction effect on the paracentral volume, and negative APOE-ε4-moderate-alcohol interaction effects on the axial diffusivity of the superior fronto-occipital fasciculus. These findings highlight the need of considering age, sex, genetic, and environmental joint effects in elucidating normal or abnormal brain aging.

The association between cortical gyrification and sleep in adolescents and young adults

STUDY OBJECTIVES

Healthy sleep is important for adolescent neurodevelopment, and relationships between brain structure and sleep can vary in strength over this maturational window. Although cortical gyrification is increasingly considered a useful index for understanding cognitive and emotional outcomes in adolescence, and sleep is also a strong predictor of such outcomes, we know relatively little about associations between cortical gyrification and sleep. We aimed to identify developmentally invariant (stable across age) or developmentally specific (observed only during discrete age intervals) gyrification-sleep relationships in young people.

METHODS

A total of 252 Neuroimaging and Pediatric Sleep Databank participants (9-26 years; 58.3% female) completed wrist actigraphy and a structural MRI scan. Local gyrification index (lGI) was estimated for 34 bilateral brain regions. Naturalistic sleep characteristics (duration, timing, continuity, and regularity) were estimated from wrist actigraphy. Regularized regression for feature selection was used to examine gyrification-sleep relationships.

RESULTS

For most brain regions, greater lGI was associated with longer sleep duration, earlier sleep timing, lower variability in sleep regularity, and shorter time awake after sleep onset. lGI in frontoparietal network regions showed associations with sleep patterns that were stable across age. However, in default mode network regions, lGI was only associated with sleep patterns from late childhood through early-to-mid adolescence, a period of vulnerability for mental health disorders.

CONCLUSIONS

We detected both developmentally invariant and developmentally specific ties between local gyrification and naturalistic sleep patterns. Default mode network regions may be particularly susceptible to interventions promoting more optimal sleep during childhood and adolescence.

Unveiling a novel clinical risk assessment model for identifying non-suicidal self-injury risks in depressed Chinese adolescents amidst the COVID-19 pandemic: insights from low self-esteem, internet use, and sleep disturbance

Background

Non-suicidal self-injury (NSSI) is a highly prevalent behavioral problem among depression adolescent patients that can result in numerous adverse outcomes. This study endeavors to bridge this knowledge gap by creating a comprehensive model that incorporates multiple aspects of NSSI to accurately evaluate its risk in adolescents with depression, thereby enhancing our ability to prevent and address this challenging issue.

Method

Using a cross-sectional design, we recruited 302 adolescents with depressive disorders who visited or were hospitalized at Shandong Mental Health Center from December 2021 to June 2022. The participants completed several self-report questionnaires, including the Chinese version of the Internet Addiction Test, the Pittsburgh Sleep Quality Index questionnaire, the Defeat Scale, the Social Avoidance and Distress Scale and the Children's Depression Inventory. Logistic regression analysis was performed to identify the diagnostic factors, which were further used to establish clinical risk assessment models. A receiver operating characteristic curve (ROC) to identify the best model. An external validating team was introduced to verify the assessing efficiency.

Results

Based on a logistic regression analysis, three variables have been identified as significant risk factors. Specifically, adolescents with depression who experience low self-esteem, internet use, or suffer from sleep disturbance face an increased risk of NSSI. An integrated risk index for NSSI exhibits excellent accuracy in identifying depressed adolescents at risk of NSSI (area under the curve = 0.86, sensitivity = 0.88, specificity = 0.69). In the validation cohort, the identification performance remains strong (area under the curve = 0.84, sensitivity = 0.72, specificity = 0.81).

Conclusion

This study highlighted the role of self-esteem, internet use and sleep disturbance in the development of NSSI. The risk index diagnosing NSSI onset may help to guide the design and application of novel interventions to minimize this risky behavior in future depressed adolescents.

A meta-analysis of longitudinal studies on the interplay between sleep, mental health, and positive well-being in adolescents

Objective

This review aimed to summarize longitudinal research about the interplay between sleep, mental health, and positive well-being in adolescents.

Method

Multiple search strategies were applied until 28th January 2023 to identify relevant research published in peer-reviewed journal articles or available grey literature. A final set of 63 studies were included in the systematic review and 42 in the meta-analysis.

Results

Results highlighted that long sleep duration, good sleep quality, and low insomnia symptoms were bidirectionally related to lower internalizing (Sleep T1 → Internalizing symptoms T2: r = -.20, p < .001; Internalizing symptoms T1 → Sleep T2: r = -.21, p < .001) and externalizing (Sleep T1 → Externalizing symptoms T2: r = -.15, p < .001; Externalizing symptoms T1→ Sleep T2: r = -.17, p < .001) symptoms, and to higher levels of psychological well-being (Sleep T1 → Psychological well-being T2: r = .15, p < .001; Psychological well-being T1 → Sleep T2: r = .15, p < .05). Moreover, good sleep was positively related to higher subjective well-being at a later time point (r = .18, p < .001).

Conclusions

Overall, these findings suggest a bidirectional relation between different aspects of sleep, mental health, and positive well-being.

Mind and skin: Exploring the links between inflammation, sleep disturbance and neurocognitive function in patients with atopic dermatitis

Atopic dermatitis (AD) is a chronic, pruritic and inflammatory, dry skin condition with many known comorbidities. These include airway disease, food allergies, atopic eye disease and autoimmune conditions. Furthermore, there is often significant sleep disturbance as well as increased psychological distress and mental health problems. Severe AD therefore often has a significant impact on the quality of life of both patients and their families. In this review we discuss recent findings on the putative links between AD, its association with itch, sleep disturbance and neuropsychiatric morbidity, including the role of inflammation in these conditions. Itch was thought to predominantly drive sleep disruption in AD. We now understand changes in sleep influence immune cell distribution and the associated inflammatory cytokines, which suggests a bidirectional relationship between AD and sleep. We also increasingly recognize inflammation as a key driver in psychological symptoms and disorders. The link between cutaneous, systemic and possible brain inflammation could at least in part be driven by the sleep deprivation and itch-driven neuronal proliferation seen in AD.

Dozing Off With Drosophila: The Effect of Disrupted Circadian Rhythms and Sleep Disturbance on Mortality, Mood, and Addiction

Many environmental factors can disrupt sleep and circadian rhythms, yet the consequences of such disruptions are poorly understood. The main goals of this project were to study the effects of disrupted circadian rhythms and sleep disturbance on Drosophila melanogaster's: (1) lifespan, (2) depression-like behaviors, and (3) propensity to consume caffeine-containing media. Three experimental groups were used: controls, Circadian Dysfunction (CD), and Sleep Disturbance (SD). Circadian disruption (CD): used flies with Tim01 mutation, which eliminates circadian behavioral rhythms. Sleep disturbance (SD): used flies subjected to hourly light exposure and manual mechanical disruption, for 48 hours. To assess the effect on lifespan, the percent of flies surviving over time, within each group, was calculated. Impaired geotaxis, or loss of climbing motivation, was assessed as a measure of a depression-like state. Preference for caffeine-containing food was evaluated using a choice chamber where caffeine enriched, and regular media were presented to flies. Group differences were analyzed with survival curves. Chi-square tests were used for the categorical variables. Survival curve analysis showed that Flies with the timeless gene mutation (tim01) have a significantly shorter lifespan than controls. Geotaxis was not significantly impaired by sleep disturbance, but it was negatively affected by circadian dysfunction. Both the Circadian Dysfunction and Sleep Disturbance groups showed a preference for caffeine-containing food, after 72 hours of exposure to it, although the Circadian Dysfunction group was much more affected than the Sleep Disturbance group. Sleep and circadian disturbances can negatively influence physical and mental wellbeing and the accompanying molecular mechanisms, as well as disrupted brain physiology, must be studied. It is critical to identify and minimize social and environmental disruptors of such biological rhythms.

Relationship between sleep problems and headaches among adolescents: Pelotas 2004 Birth cohort

Objective

To investigate the cross-sectional association between sleep problems (the exposure) and headaches (the outcome) among 15-year-olds from the Pelotas 2004 Birth Cohort, a population-based study in the south of Brazil.

Method

The occurrence of headaches was obtained through the question: "Do you usually suffer headaches?" and the ICHD-3 criteria were used to classify as: tension-type headache, headache with characteristics of migraine with or without aura, or other. Regarding sleep, the weekly frequency in the last month of insomnia and bad dreams/nightmares, and self-reported sleep quality were investigated. Unadjusted and adjusted prevalence ratios (PR) with 95% confidence intervals were calculated using Poisson regression with robust variance.

Results

A total of 1916 adolescents were analyzed. The prevalence of headaches was 51.6% (69.0% in females and 34.8% in males): 31.8% (39.7% vs. 24.1%) reported tension-type headache; 14.7% (21.9% vs. 7.8%), headaches with characteristics of migraines without aura; 3.6%, headaches with characteristics of migraines with aura; and 1.5% (5.1% vs. 2.3%), other types. Adolescents with insomnia ≥3 times/week presented higher probability of headaches (PR = 1.54; 95%CI 1.23-1.93), compared with those with no problems falling asleep or maintaining sleep. Among those who classified their sleep as poor/very poor, the probability of headaches was 33% higher (PR = 1.33; 95%CI 1.13-1.57) than among those who classified their sleep as very good.

Conclusions

Headaches were highly prevalent among the adolescents and were related to sleep problems even after allowing for several confounders.

Sleep, Nutrition, and Injury Risk in Adolescent Athletes: A Narrative Review

This narrative review explores the impact of sleep and nutrition on injury risk in adolescent athletes. Sleep is viewed as essential to the recuperation process and is distinguished as an active participant in recovery through its involvement in growth, repair, regeneration, and immunity. Furthermore, the literature has shown that the sleep of athletes impacts elements of athletic performance including both physical and cognitive performance, recovery, injury risk, and mental well-being. For sleep to have a restorative effect on the body, it must meet an individual's sleep needs whilst also lasting for an adequate duration and being of adequate quality, which is age-dependent. The literature has suggested that athletes have increased sleep needs compared to those of the general population and thus the standard recommendations may not be sufficient for athletic populations. Therefore, a more individualised approach accounting for overall sleep health may be more appropriate for addressing sleep needs in individuals including athletes. The literature has demonstrated that adolescent athletes achieve, on average, ~6.3 h of sleep, demonstrating a discrepancy between sleep recommendations (8-10 h) and actual sleep achieved. Sleep-wake cycles undergo development during adolescence whereby adaptation occurs in sleep regulation during this phase. These adaptations increase sleep pressure tolerance and are driven by the maturation of physiological, psychological, and cognitive functioning along with delays in circadian rhythmicity, thus creating an environment for inadequate sleep during adolescence. As such, the adolescent period is a phase of rapid growth and maturation that presents multiple challenges to both sleep and nutrition; consequently, this places a significant burden on an adolescent athletes' ability to recover, thus increasing the likelihood of injury. Therefore, this article aims to provide a comprehensive review of the available literature on the importance of sleep and nutrition interactions in injury risk in adolescent athletes. Furthermore, it provides foundations for informing further investigations exploring the relation of sleep and nutrition interactions to recovery during adolescence.

A Review of the Effects of Adolescent Cannabis Use on Physical Health

The current review highlights the available research related to cannabis and indicators of physical health in a variety of domains. Various studies have found associations between cannabis use with pulmonary, cardiovascular, gastrointestinal, and endocrine function as well as body mass index and sleep. At this time, more research is needed to understand the influence of cannabis use on physical health, particularly among adolescent samples.

Links Between Objectively-Measured Hourly Smartphone Use and Adolescent Wake Events Across Two Weeks

PURPOSE

Psychosocial and bioregulatory pressures threaten sleep during adolescence. Although recent work suggests that the ubiquity of smartphone use throughout adolescence may also relate to poorer sleep outcomes, most existing research relies upon self-report and retrospective measures. This study drew upon objective measures of smartphone use and sleep at the hourly level to understand how smartphone use was associated with the duration of wake events during sleeping hours.

METHODS

Across a 14-day daily study, 59 racially and ethnically diverse adolescents ages 15 to 18 had their sleep assessed via Fitbit Inspire 2 devices and uploaded screenshots of their screen time, pickups, and notifications as logged by their iPhone's iOS. Multi-level modeling was performed to assess hourly level associations between adolescent smartphone use and wake-events during their sleep sessions (N = 4,287 hourly cases).

RESULTS

In hours during adolescents' sleep session with more screen time or pickups, adolescents had longer wake event duration. More notifications in a given hour were not associated with wake event duration in the same hour.

CONCLUSIONS

Using objectively measured smartphone and sleep data collected at the hourly level, we found that during sleeping hours, when adolescents are actively engaging with their smartphones, their sleep is disrupted, such that their wake events are longer in that hour.

Adolescent loneliness across the world and its relation to school climate, national culture and academic performance

BACKGROUND

Loneliness during adolescence has adverse consequences for mental health, education and employment outcomes. Yet, we know little about common correlates of loneliness among adolescents, making intervention work difficult.

AIMS

In this study, we (1) explore individual-, school- and country-level correlates of loneliness to help identify potential intervention targets, and (2) examine the influence of loneliness on academic performance.

SAMPLE

A total of 518,210 students aged 15 years from 75 countries provided self-reported loneliness data.

RESULTS

Using multilevel modelling, we found individual-, school- and country-level correlates of self-reported school-based loneliness, and showed that loneliness negatively influenced academic performance.

CONCLUSIONS

Based on the findings, interventions that focus on enhancing social and emotional skills, increasing trust between teachers and students and changing school climate to be more inclusive are likely to be the most effective for adolescents; they should also be culturally sensitive.

July 14th 2016 Nice Terrorist Attack Court Trial: A Protocol on Sleep Quality and Somatic Symptoms as Markers of Risk for Traumatic Reactivation in Adolescents Exposed to This Attack

The court trial of the 14th of July 2016 terrorist attack in Nice (France) opened in September 2022 and ended in December 2022. Engaging in court proceedings, whether as a victim or a witness, can lead to a significant risk of traumatic reactivation (i.e., the re-emergence of post-traumatic stress symptoms). The present protocol aimed to improve knowledge of the pathophysiology of traumatic reactivation due to the media coverage of the trial by assessing sleep disturbances and somatic symptoms that could reappear if there is a traumatic reactivation. Method and Analysis: This is a monocentric longitudinal study, with recruitment solely planned at the Nice Pediatric Psychotrauma Center (NPPC). We intended to include 100 adolescents aged 12 to 17 years who were directly or indirectly exposed to the attack and included in the "14-7" program). Assessments began one month before the trial, in August 2022, and were scheduled once a month until the end of the trial. A smartwatch recorded sleep activity. Somatic and PTSD symptoms and sleep were assessed through validated questionnaires. The main analyses comprised the variance and regression analyses of predictors of clinical evolution over time. Ethics and Dissemination: The National Ethics Committee "NORD OUEST III" approved the "14-7" program protocol (number 2017-A02212-51). The specific amendment for this research was approved in April 2022 by the same national ethical committee. Inclusions started in August 2022.

Associations between sleep habits, quality, chronotype and depression in a large cross-sectional sample of Swedish adolescents

OBJECTIVE

To investigate behavioral sleep habits, self-perceived quality of sleep, and chronotype, and to examine their association with clinically relevant levels of depression in Swedish adolescents.

METHOD

Questionnaire data were obtained from a representative sample of Swedish adolescents (n = 8449; 50.8% girls; aged 12-16). Depression was defined as >13 BDI-II scores. Logistic regression modelling estimated the effects of sleep duration, sleep quality, and chronotype on depression, adjusted for socio-demographic factors.

RESULTS

On weekdays, approximately 46% of adolescents slept less than the recommended length of eight hours per night (depressed: 68%, non-depressed: 40%). On weekends, however, only 17% slept shorter than recommended. Short weekday sleep duration was more common among girls than boys (53% vs. 38%) and girls reported worse sleep quality. The regression model showed that depression was predicted by weekday sleep duration (OR = 0.773, p < .0001), sleep quality (OR = 0.327, p < .0001), and late chronotype (OR = 1.126, p = .0017), but not by weekend sleep duration. A 30-minute increase in weekday sleep duration was associated with about 10% lower odds of depression.

CONCLUSIONS

A substantial proportion of Swedish adolescents do not seem to meet the sleep recommendations of eight hours per night. Short sleep duration on weekdays, poor sleep quality, and late chronotype were associated with increased risk of depression. Interventions promoting longer weekday sleep duration (e.g., later school start times) seem relevant in this context, but further research is needed to investigate the directionality and underlying mechanisms of these associations.

Alterations of functional connectivity in young people with depression mediate the relationship between sleep quality and cognitive function

BACKGROUND

Sleep disturbances is common in young people with depression, and poor sleep quality affects the ability to learn. In this study, we examined possible resting-state functional connectivity abnormalities between regions of interest, and clarified the relationship with depressive symptoms, sleep quality, and cognitive function.

METHODS

Resting-state functional magnetic resonance imaging (fMRI) was collected on 42 healthy controls (HCs), 82 youth depressive patients (44 without sleep disturbances (NSD), and 38 with sleep disturbances (SD)). Regions of interest were defined by using Brainnetome Atlas. Functional connectivity was calculated, and its associations with depressive symptoms, sleep quality, and cognitive function were examined using correlation analysis and mediation analysis.

RESULTS

The left and right caudal of cingulate gyrus, tongue and larynx region of postcentral gyrus were significant brain regions in NSD versus SD. The average functional connectivity between these regions was associated with poor sleep quality (r = 0.368, p = 0.001) and worse working memory (r = -0.256, p = 0.023) and mediated the relationship between sleep quality and working memory (c = -0.738, c' = -0.500).

LIMITATION

Data consistency in this study was not good enough. This study did not monitor sleep rhythms to provide objective sleep-related data.

CONCLUSION

The functional connectivity between the left and right caudal of cingulate gyrus with tongue and larynx region of postcentral gyrus may be the neural mechanism by which sleep disturbances affect working memory. This provides an intervention target for clinically improving cognitive function in young people with depression.

Sleep Duration and Executive Function in Adults

PURPOSE OF REVIEW

To review the literature examining the relationship between sleep and cognition, specifically examining the sub-domain of executive function. We explore the impact of sleep deprivation and the important question of how much sleep is required for optimal cognitive performance. We consider how other sleep metrics, such as sleep quality, may be a more meaningful measure of sleep. We then discuss the putative mechanisms between sleep and cognition followed by their contribution to developing dementia.

RECENT FINDINGS

Sleep duration and executive function display a quadratic relationship. This suggests an optimal amount of sleep is required for daily cognitive processes. Poor sleep efficiency and sleep fragmentation are linked with poorer executive function and increased risk of dementia during follow-up. Sleep quality may therefore be more important than absolute duration. Biological mechanisms which may underpin the relationship between sleep and cognition include brain structural and functional changes as well as disruption of the glymphatic system. Sleep is an important modifiable lifestyle factor to improve daily cognition and, possibly, reduce the risk of developing dementia. The impact of optimal sleep duration and sleep quality may have important implications for every ageing individual.

The Association of Sleep Duration with Grade Point Averages and Absences Among 9th Graders in Georgia, USA

This study aimed to examine the association between sleep measures (self-reported sleep duration and weekend catch-up sleep) and grade point average (GPA) and absences among 9th grade students from two racially and economically diverse high schools in a semi-rural county of north-central Georgia. Linear and Poisson regression models estimated the association between sleep measures and GPA and absences (separately), respectively. Analyses adjusted for gender, race/ethnicity, free/reduced-price school lunch status, and parental education. Sleep duration was significantly associated with both GPA and absences, such that for every one additional hour of sleep, GPA increased by 0.8 percentage points (b=0.8, 95% CI:0.1,1.5) while the number of absences was lower by 6% (b=-0.05; OR=0.94, 95% CI:0.91,0.98). Weekend catch-up sleep was also significantly and positively associated with absences (b=0.04; OR=1.04, 95% CI; 1.02, 1.07). Increasing sleep may be a strategy to improve GPA and reduce absences among teenagers. Future research should identify effective measures to lengthen sleep.

Optimizing sleep staging on multimodal time series: Leveraging borderline synthetic minority oversampling technique and supervised convolutional contrastive learning

Sleep is an important research area in nutritional medicine that plays a crucial role in human physical and mental health restoration. It can influence diet, metabolism, and hormone regulation, which can affect overall health and well-being. As an essential tool in the sleep study, the sleep stage classification provides a parsing of sleep architecture and a comprehensive understanding of sleep patterns to identify sleep disorders and facilitate the formulation of targeted sleep interventions. However, the class imbalance issue is typically salient in sleep datasets, which severely affects classification performances. To address this issue and to extract optimal multimodal features of EEG, EOG, and EMG that can improve the accuracy of sleep stage classification, a Borderline Synthetic Minority Oversampling Technique (B-SMOTE)-Based Supervised Convolutional Contrastive Learning (BST-SCCL) is proposed, which can avoid the risk of data mismatch between various sleep knowledge domains (varying health conditions and annotation rules) and strengthening learning characteristics of the N1 stage from the pair-wise segments comparison strategy. The lightweight residual network architecture with a novel truncated cross-entropy loss function is designed to accommodate multimodal time series and boost the training speed and performance stability. The proposed model has been validated on four well-known public sleep datasets (Sleep-EDF-20, Sleep-EDF-78, ISRUC-1, and ISRUC-3) and its superior performance (overall accuracy of 91.31-92.34%, MF1 of 88.21-90.08%, and Cohen's Kappa coefficient k of 0.87-0.89) has further demonstrated its effectiveness. It shows the great potential of contrastive learning for cross-domain knowledge interaction in precision medicine.