Mutual relations between sleep deprivation, sleep stealers and risk behaviours in adolescents

Exposure to secondhand smoke is associated with poor sleep quality among non-smoking university students in Bangladesh: a cross-sectional survey

Although secondhand smoke (SHS) exposure is predominant in Bangladesh, the adverse effect of SHS exposure on health-related behaviors, such as sleep quality, have remained an under-investigated area of the country's public health landscape. Therefore, the purpose of this study was to examine the association between SHS exposure and poor sleep quality among non-smoking university students in Bangladesh. A cross-sectional survey was carried out between May and September 2022. SHS exposure (main predictor variable) and other covariates (e.g., age, sex, etc.) were measured using a self-reported questionnaire and sleep quality (outcome variable) was measured via the Pittsburgh Sleep Quality Index. Multiple logistic regression models investigated the association between SHS exposure and poor sleep quality. The study included 390 students (mean age: 22 years, 53.8% male). Approximately 41.8% of the participants reported SHS exposure, and 50.5% had poor sleep quality. Students exposed to SHS were more likely to have poor sleep quality compared to their counterparts (AOR = 1.61; 95% CI 1.01, 2.58). Subgroup analysis revealed poor sleep quality was 2-times higher among male students exposed to SHS than those male students without SHS exposure (AOR = 2.03; 95% CI 1.05, 3.93). No association was found in female students. Findings from this study warrant increased awareness and public health initiatives on the implications of SHS on health behaviors, such as sleep quality, in non-smoking Bangladeshi university students.

Sleep variability and regularity as contributors to obesity and cardiometabolic health in adolescence

OBJECTIVE

Adolescence is a developmental stage of critical changes in sleep and its circadian timing when the contribution of abnormal sleep variability (amount) and sleep regularity (timing) to obesity and its associated adverse cardiometabolic health outcomes appears to increase. The aim of this study was to summarize findings from studies conducted in adolescents examining both sleep variability and regularity in relation to obesity and cardiometabolic health. Gaps in research and potential causal pathways that future studies should examine are highlighted.

RESULTS

Nightly deviations in sleep duration and sleep midpoint appear to contribute to the development of obesity and associated adverse cardiometabolic outcomes in youth. Studies show that increased sleep variability and irregularity are associated with obesity, decreased physical activity, dysregulated eating and inadequate diet, metabolic dysfunction, impaired cardiac autonomic balance, and elevated blood pressure in adolescents.

CONCLUSIONS

A stable circadian timing of sleep is essential to the overall physical well-being of youth. Emerging evidence supports that sleep variability and circadian misalignment, including sleep irregularity, contribute to adverse obesity-related health outcomes early on in adolescence. Future studies should focus on the underlying behavioral and biological mechanisms in the causal pathway between day-to-day deviations in the amount and timing of sleep and obesity.

Understanding the Need for Sleep to Improve Cognition

The restorative function of sleep is shaped by its duration, timing, continuity, subjective quality, and efficiency. Current sleep recommendations specify only nocturnal duration and have been largely derived from sleep self-reports that can be imprecise and miss relevant details. Sleep duration, preferred timing, and ability to withstand sleep deprivation are heritable traits whose expression may change with age and affect the optimal sleep prescription for an individual. Prevailing societal norms and circumstances related to work and relationships interact to influence sleep opportunity and quality. The value of allocating time for sleep is revealed by the impact of its restriction on behavior, functional brain imaging, sleep macrostructure, and late-life cognition. Augmentation of sleep slow oscillations and spindles have been proposed for enhancing sleep quality, but they inconsistently achieve their goal. Crafting bespoke sleep recommendations could benefit from large-scale, longitudinal collection of objective sleep data integrated with behavioral and self-reported data.

Circadian phase advances in children during camping life according to the natural light-dark cycle

BACKGROUND

It is known that the circadian rhythm phase in adults can be advanced in a natural light-dark cycle without electrical lighting. However, the effect of advanced sleep-wake timing according to the natural light-dark cycle on children's circadian phase is unclear. We investigated the effects of approximately 2 weeks of camping life with little access to artificial lighting on children's circadian phases. We also conducted an exploratory examination on the effects of wake time according to natural sunrise time on the manner of the advance of their circadian phases.

METHODS

Twenty-one healthy children (mean ± SD age, 10.6 ± 1.4 years) participated in a camping program with wake time (4:00) being earlier than sunrise time (EW condition), and 21 healthy children (10.4 ± 1.1 years) participated in a camping program with wake time (5:00) being almost matched to sunrise time (SW condition). Salivary dim light melatonin onset (DLMO) before the camping program and that after approximately 2 weeks of camping were compared.

RESULTS

DLMO was advanced by approximately 2 h after the camping program compared with the circadian phase in daily life in both conditions. In addition, the advances in DLMO were significantly correlated with mid-sleep points before the camp in both conditions (EW: r = 0.72, p < 0.01, SW: r = 0.70, p < 0.01). These correlations mean that the phase advance was greater for the children with delayed sleep habits in daily life. Furthermore, in the EW condition, mean DLMO after the camp (18:09 ± 0:33 h) was earlier than natural sunset time and there was no significant decrease in interindividual variability in DLMO. On the other hand, in the SW condition, mean DLMO after the camp (18:43 ± 0:20 h) matched natural sunset time and interindividual variability in DLMO was significantly lower than that before the camp.

CONCLUSIONS

Camping with advanced sleep and wake timing under natural sunlight advances children's circadian phases. However, DLMO earlier than sunset in an early waking condition may lead to large interindividual variability in the circadian rhythm phase.

Combined Exposure to Chronic Sleep Deprivation and Caffeine Potentiates Behavioural Deficits by Altering Neurochemical Profile and Synaptophysin Expression in Long-Evans Rats

Using the Unpredictable Chronic Sleep Deprivation (UCSD) paradigm we developed, the combined effects of chronic sleep deprivation and high caffeine intake on prefrontal cortical synaptophysin expression, neurochemical profiles, and behavioural outcomes in Long-Evans rats were evaluated. The combination of chronic sleep deprivation and high-dose caffeine treatment produced varying degrees of behavioural impairments, depletion of antioxidants, serotonin, and an upregulation of acetylcholinesterase (AChE) activity in the prefrontal cortex. An immunohistochemical assessment revealed a reduction in synaptophysin protein expression in the prefrontal cortex following exposure to high-dose caffeine and chronic sleep deprivation. Overall, our findings support the advocacy for adequate sleep for optimal mental performance as a high intake of caffeine to attenuate the effects of sleep deprivation that may alter the neurochemical profile and synaptic plasticity in the prefrontal cortex, significantly increasing the risk of neuropsychiatric/degenerative disorders.

Association between Sleep Disturbances During Childhood and Smoking Trajectories During Adulthood: The Longitudinal TEMPO Cohort Study

OBJECTIVE

This study examined the longitudinal association between child sleep disturbances from ages 3 to 16 and smoking in adulthood among subjects from a French cohort study.

METHODS

Data from 2,134 subjects who participated in the French TEMPO cohort from 1991 to 2018 were used. Sleep disturbances observed from ages 3 to 16 years defined our exposure. Tobacco consumption trajectories constitute our outcomes and were ascertained by using Group-Based Trajectory Modeling, a semiparametric probabilistic method that hypothesizes the existence of distinct developmental trajectories over time within one population. The impact of SDs in childhood on adulthood's Tobacco consumption were studied using multinomial logistic regression.

RESULTS

Sleep disturbances at 16 years or under were observed in 26.5% of participants. Five smoking trajectories were defined: "non-smokers", "decrease in consumption at age 20 years", "low-level tobacco use", "smoking followed by cessation at age 30 years" and "high-level tobacco use". No statistically significant association between sleep disturbances and smoking trajectories was found. Compared with nonsmokers, adjusted odds-ratios and 95% Confidence Intervals for each trajectory were respectively: 0.81 [0.52-1.26], 1.28 [0.74-2.22], 1.37 [0.88-2.15] and 1.01 [0.60-1.69].

CONCLUSION

These results suggest that smoking in adulthood may not be related to sleep disturbances in childhood.

Sleep and violence perpetration: A review of biological and environmental substrates

Violence is a worldwide societal burden that negatively impacts individual health, wellbeing and economic development. Evidence suggests a bidirectional relationship between sleep changes and violence. This review details, evaluates and discusses the biological and demographic substrates linking sleep and violence perpetration, and summarizes the overlap of brain areas, functional neuronal systems and genetic features involved, not including violent behaviours during sleep. Knowledge on the biological variables that affect the individual's susceptibility to violent behaviour may have implications for criminology, management of detentions and rehabilitation strategies.

Quality over quantity? Using sibling comparisons to examine relations between sleep quality, sleep duration, and delinquency

RATIONALE

A growing body of research suggests that adolescents with problematic sleep patterns are more likely to engage in externalizing and delinquent behaviors. Few studies, however, have examined the role of between- and within-family effects on this association to establish whether poor sleep is related to delinquency after controlling for familial confounding.

OBJECTIVE

The current study examines the relationship between self-reported restless sleep, sleep duration, and delinquency from ages 16-19 in a population-based sample of U.S. youth.

METHODS

Data from full siblings from the Children and Young Adult sample of the National Longitudinal Survey of Youth (1979) (CNLSY) are analyzed. Negative binomial regression models and sibling comparisons are estimated to assess between- and within-family effects of sleep on delinquency during ages 16-17. Sibling comparison cross-lagged models are then fitted to the data to examine whether sibling differences in sleep are related to sibling differences in changes in delinquency from ages 16-19.

RESULTS

Siblings with higher levels of self-reported restless sleep were more likely to report higher levels of delinquency at ages 16-17, net of observable covariates and unobservable familial confounders. Sibling differences in restless sleep at ages 16-17 were also associated with increases in delinquency at ages 18-19 after controlling for familial confounding and temporal stability in both sleep and delinquent behavior.

CONCLUSIONS

Findings suggest that perhaps sleep quality, rather than sleep duration, should be the primary target for intervention/prevention programming efforts for adolescent delinquency.

Sleep disturbance and the long-term impact of early adversity

Sleep disturbance may be a central, yet underappreciated mechanism by which early adversity has a long-term impact upon mental and physical health. The fundamental regulatory processes shaped by early adversity - neural, neuroendocrine, and immune - are also central to sleep. Sleep problems, in turn, lead to a similar constellation of chronic health problems that have been linked to early adversity. We bring together work from the fields of early adversity and sleep in order to suggest a model by which sleep disturbance plays a critical role in the far-reaching impacts of early adversity on health. Future research should employ more longitudinal designs and pay particular attention to the impact of developmental periods such as adolescence and midlife when maturational and environmental factors conspire to create a unique time of sleep disturbance. We also suggesting that intervening to minimize sleep disturbance may be a promising means by which to test the model, as well as potentially blunt the long-term impact of early adversity on health.

Sleep Disorders across the Lifespan: A Different Perspective

Sleep constitutes a fundamental human behavior that results from the reorganization of brain functions [...].

Mental Health Issues and Psychological Factors in Athletes: Detection, Management, Effect on Performance, and Prevention: American Medical Society for Sports Medicine Position Statement

The American Medical Society for Sports Medicine convened a panel of experts to provide an evidence-based, best practices document to assist sports medicine physicians and other members of the athletic care network with the detection, treatment, and prevention of mental health issues in competitive athletes. This statement discusses how members of the sports medicine team, including team physicians, athletic trainers, and mental health providers, work together in providing comprehensive psychological care to athletes. It specifically addresses psychological factors in athletes including personality issues and the psychological response to injury and illness. The statement also examines the athletic culture and environmental factors that commonly impact mental health, including sexuality and gender issues, hazing, bullying, sexual misconduct, and transition from sport. Specific mental health disorders in athletes, such as eating disorders/disordered eating, depression and suicide, anxiety and stress, overtraining, sleep disorders, and attention-deficit/hyperactivity disorder, are reviewed with a focus on detection, management, the effect on performance, and prevention. This document uses the Strength of Recommendation Taxonomy (SORT) to grade level of evidence.

Sleep duration, handgun carrying, and taking a handgun to school: an analysis of a statewide sample of Florida youth

OBJECTIVES

To investigate whether sleep duration is associated with adolescent handgun carrying behaviors.

DESIGN

The Florida Youth Substance Abuse Survey (FYSAS) is a cross-sectional study of adolescents.

SETTING

The state of Florida.

PARTICIPANTS

Middle school and high school students (n = 42,182) attending public schools in 2018.

METHODS

Dichotomous measures of general handgun carrying and taking a handgun to school within the past 12 months were modeled as dependent variables. Self-reports of hours slept on an average school night were used to construct multiple indicators of sleep duration (ordinal, dichotomous, and hourly dummy variable series) to predict general handgun carrying and taking a handgun to school in logistic regression models when accounting for several covariates.

RESULTS

Adjusting for model covariates, youth who reported sleeping four or fewer hours at night had 40% greater odds of general handgun carrying than youth who reported sleeping eight or more hours. Likewise, youth who reported sleeping four or fewer hours at night had 85% greater odds of taking a handgun to school than youth who reported sleeping eight or more hours. Youth who reported sleeping five, six, or seven hours were no more likely to report handgun-carrying behaviors than youth who reported sleeping eight or more hours.

CONCLUSIONS

Among youth in Florida, severe deficits in sleep are associated with general handgun carrying as well as taking a handgun to school. More modest sleep deficits are not associated with these behaviors.

Poor sleep and adolescent obesity risk: a narrative review of potential mechanisms

Poor sleep is related to increased obesity risk in adolescents, though the mechanisms of this relationship are unclear. This paper presents a conceptual framework of the various pathways that have been proposed to drive this relationship. In this framework, increased food reward, emotional reactivity, decreased inhibitory control, metabolic disturbances, poorer dietary quality, and disrupted meal timings may increase the likelihood of increasing overall energy intake. This paper further notes how poor sleep increases sedentary behavior and screen time, which likely limits overall energy expenditure. The model posits that these mechanisms result in an imbalance of energy intake and expenditure following poor sleep, intensifying the overall risk for obesity. Increases in food reward processes, decreases in insulin sensitivity, disrupted meal timing, and increases in sedentary behavior seem to be the most compelling mechanisms linking poor sleep with increased obesity risk in adolescents. Future directions and clinical implications of this framework are discussed.

Rhythms of life: circadian disruption and brain disorders across the lifespan

Many processes in the human body - including brain function - are regulated over the 24-hour cycle, and there are strong associations between disrupted circadian rhythms (for example, sleep-wake cycles) and disorders of the CNS. Brain disorders such as autism, depression and Parkinson disease typically develop at certain stages of life, and circadian rhythms are important during each stage of life for the regulation of processes that may influence the development of these disorders. Here, we describe circadian disruptions observed in various brain disorders throughout the human lifespan and highlight emerging evidence suggesting these disruptions affect the brain. Currently, much of the evidence linking brain disorders and circadian dysfunction is correlational, and so whether and what kind of causal relationships might exist are unclear. We therefore identify remaining questions that may direct future research towards a better understanding of the links between circadian disruption and CNS disorders.

Sleep in adolescence: sex matters?

Objective

Sleep is of upmost importance for everybody and especially for adolescents who face life and leisure challenges that may impair their sleep. This study aimed to verify if girls are at a higher risk to present sleep problems and if associations of a sleep perception are different between sexes even when accounting for biological maturation.

Methods

Data is from the HBSC Portuguese survey 2014, all variables were self-reported. Participants were 3869 adolescents (2057 girls), mean age 14.8 years. Participants' socio-demographic characteristics included sex, age, school grade, father and mother education; besides participants were inquired about sleep duration and characteristics of their sleep quality.

Results

Sleep deprivation was reported by 13.1% of the adolescents (girls 14.3%, boys 11.7%, p<0.05). The most prevalent characteristics of poor sleep quality were waking up tired (50.8%) and difficulties falling asleep (19.5%), for both girls presented higher prevalence than boys. Overall, girls presented a poorer sleep health with low quality and quantity of sleep. Furthermore, associations of an enough and good sleep were different between boys and girls, even when controlling for the impact of delayed pubertal maturity.

Discussion

Together with screen time, substance use, poorer nutrition, sedentary behaviours and abuse of screen time, sleep is an issue that must be addressed by professionals, families and public policies with impact in family life and family routines. Modelling a health education in schools should include the sleep topic. In addition, yes, sex matters and must be included on board.

Mobile Phone Use and Mental Health. A Review of the Research That Takes a Psychological Perspective on Exposure

The purpose of this study was to carry out a review of observational studies that consider links between mobile phone use and mental health from a psychological or behavioral perspective. Systematic literature searches in PubMed and PsycINFO for articles published until 2017 were done. Exclusion criteria included: papers that considered radiofrequency fields, attention, safety, relational consequences, sexual behavior, cyberbullying, and reviews, qualitative, and case or experimental studies. A total of 4738 papers were screened by title and abstract, 404 were retrieved in full text, and 290 were included. Only 5% had any longitudinal design. Self-reporting was the dominating method of measurement. One third of the studies included children or youth. A majority of adult populations consisted of university students and/or self-selected participants. The main research results included associations between frequent mobile phone use and mental health outcomes, such as depressive symptoms and sleep problems. Mobile phone use at bedtime was associated with, e.g., shorter sleep duration and lower sleep quality. "Problematic use" (dependency) was associated with several negative outcomes. In conclusion, associations between mobile phone use and adverse mental health outcomes are found in studies that take a psychological or behavioral perspective on the exposure. However, more studies of high quality are needed in order to draw valid conclusions about the mechanisms and causal directions of associations.

Impact of Sleep and Circadian Rhythms on Addiction Vulnerability in Adolescents

Sleep homeostasis and circadian function are important maintaining factors for optimal health and well-being. Conversely, sleep and circadian disruptions are implicated in a variety of adverse health outcomes, including substance use disorders. These risks are particularly salient during adolescence. Adolescents require 8 to 10 hours of sleep per night, although few consistently achieve these durations. A mismatch between developmental changes and social/environmental demands contributes to inadequate sleep. Homeostatic sleep drive takes longer to build, circadian rhythms naturally become delayed, and sensitivity to the phase-shifting effects of light increases, all of which lead to an evening preference (i.e., chronotype) during adolescence. In addition, school start times are often earlier in adolescence and the use of electronic devices at night increases, leading to disrupted sleep and circadian misalignment (i.e., social jet lag). Social factors (e.g., peer influence) and school demands further impact sleep and circadian rhythms. To cope with sleepiness, many teens regularly consume highly caffeinated energy drinks and other stimulants, creating further disruptions in sleep. Chronic sleep loss and circadian misalignment enhance developmental tendencies toward increased reward sensitivity and impulsivity, increasing the likelihood of engaging in risky behaviors and exacerbating the vulnerability to substance use and substance use disorders. We review the neurobiology of brain reward systems and the impact of sleep and circadian rhythms changes on addiction vulnerability in adolescence and suggest areas that warrant additional research.

Lack of sleep is associated with internet use for leisure

OBJECTIVE

Previous studies have suggested that excessive internet use may cause lack of sleep. However, recent studies have hypothesized that lack of sleep may instigate internet use for leisure. To elucidate the potential effects of sleep time on internet use, we explored the different associations between sleep time and internet use according to its purpose.

METHODS

The population-based, cross-sectional study group from the Korea Youth Risk Behavior Web-based Survey (KYRBWS) collected data from 57,425 middle school students in 2014 and 2015. Sleep time over the past 7 days was classified into the following groups: < 7 h (6 h); ≥ 7 h, < 8 h (7 h); ≥ 8 h, < 9 h (8 h); and ≥ 9 h (9+ h). Internet use time per day was separately surveyed for leisure and for study and categorized as follows: 0 h; > 0 h, ≤ 1 h (1 h); > 1 h, ≤ 2 h (2 h); and > 2 h (2+ h) per day. Information on age, sex, region of residence, body mass index (BMI), economic level, parental education level, stress level, school performance level, and sleep satisfaction were retrieved. The relationships between sleep time and internet use time for leisure/study were analyzed using multinomial logistic regression with complex sampling. In the subgroup analysis according to sleep satisfaction (good, normal, and poor), the associations of sleep time with internet use for leisure were analyzed using the same methods.

RESULTS

Compared to 9+ h of sleep, less sleep was related to a long internet use time (2+ h) for leisure (adjusted odds ratio, AOR [95% confidence interval, CI] of sleep: 8 h = 1.23 [1.14-1.32]; 7 h = 1.42 [1.31-1.54]; and 6 h = 1.56 [1.44-1.70]; P < 0.001). Conversely, a relationship between less sleep and a long internet use time (2+ h) for study was evident only for 6 h of sleep (AOR of sleep: 8 h = 0.84 [0.84-1.04]; 7 h = 1.05 [0.94-1.17]; and 6 h = 1.32 [1.27-1.59]; P < 0.001). In the subgroup analysis according to sleep satisfaction, less sleep was associated with a long internet use time for leisure in all sleep satisfaction groups, although the relationship was more significant in the lower sleep satisfaction group.

CONCLUSION

Less sleep was significantly related to long-term use of the internet for leisure, whereas this association was not definite for internet use for study. Furthermore, poor sleep quality potentiated the relationship between less sleep time and internet use for leisure.

School start time effects on adolescent learning and academic performance, emotional health and behaviour

PURPOSE OF REVIEW

The investigation of the relationship between the time of day that school begins and the effects it could have on students began in the mid-1990s. Since that time, many articles have been written either for the medical literature or the educational literature. This review is intended to bridge that gap by examining together the findings for both academic and health outcomes, exploring what we know and what is needed in further investigation.

RECENT FINDINGS

Teens who are sleep deficient (defined as obtaining less than 8 h per night) because of early starting time for their school are much more likely to engage in risky behaviours, such as drug, cigarette and alcohol use, have significant feelings of depression, get lower grades and are at greater risk for car crashes. Many studies of academic performance and later school start time indicate benefits, although further research is needed to understand the related mechanisms that contribute to improvements in achievement. Recent research in adolescent sleep and outcomes is being shaped by not only measuring sleep duration, but also examining the timing in which sleep occurs.

SUMMARY

Early school starting time for middle and high students has a clear, deleterious effect on their health and well being. Most recently, sleep deficit in teens is being viewed as a public health issue that needs a wider discussion about its impact and it necessitates improved public education about the sleep phase shift that occurs during adolescence.

Excessive internet use in young women: What are the implications?

PURPOSE OF REVIEW

There are considerable gender differences in youth engaging in excessive internet use (EIU). This review provides updates based on the recent literature focusing on the EIU in young women to describe its implications including what it constitutes of, its correlates, sequelae and preventive and/or treatment strategies.

RECENT FINDINGS

Definition of EIU and its conceptualization still requires refinement. Recent studies indicate a changing trend towards female predominance of EIU. Women also differ in their internet use compared with men regarding their preference in the internet content and online activities, motives of use and factors related to access to the internet, including the device, sociocultural restrictions, etc. The correlates and sequelae of EIU encompass psychological, physical, biological, family and social domains that could form the basis of identifying individuals at risk and strategizing treatment.

SUMMARY

The findings indicate the need for standardization in definition and measures of EIU for better recognition of EIU and identification of its at-higher-risk females. Effective preventive and treatment measures are still limited by various methodology flaws outlined here.