Adolescent Sleep and the Impact of Technology Use Before Sleep on Daytime Function

Artificial Intelligence, the Production of Scientific Texts, and the Implications for Sleep Science: Exploring Emerging Paradigms and Perspectives

The emergence of artificial intelligence (AI) has revolutionized many fields, including natural language processing, and marks a potential paradigm shift in the way we evaluate knowledge. One significant innovation in this area is ChatGPT, a large language model based on the GPT-3.5 architecture created by OpenAI, with one of its main aims being to aid in general text writing, including scientific texts. Here, we highlight the challenges and opportunities related to using generative AI and discuss both the benefits of its use, such as saving time by streamlining the writing process and reducing the amount of time spent on mundane tasks, and the potential drawbacks, including concerns regarding the accuracy and reliability of the information generated and its ethical use. In respect of both education and the writing of scientific texts, clear rules and objectives and institutional principles must be established for the use of AI. We also consider the positive and negative effects of the use of AI technologies on interpersonal interactions and behavior, and, as sleep scientists, its potential impacts on sleep. Striking a balance between the benefits and potential drawbacks of integrating AI into society demands ongoing research by experts, the wide dissemination of the scientific results, as well as continued public discourse on the subject.

Daily links between objective smartphone use and sleep among adolescents

INTRODUCTION

Concerns abound on how digital technology such as smartphone use may impair adolescent sleep. Although these linkages are supported in cross-sectional studies, research involving intensive longitudinal assessments and objective measures has called into question the robustness of associations.

METHODS

In this study, a sample of ethnically diverse U.S. adolescents (N = 71; Mage = 16.49; 56% girls) wore Fitbit devices and submitted screenshots of their smartphone screen time, pickups, and notifications over a 14-day period in 2021. The Fitbits recorded nightly sleep quality and sleep onset. Adolescents also completed daily diaries reporting the previous night's sleep onset time and sleep quality.

RESULTS

On days when adolescents engaged in greater nighttime screen time and, to some extent, pickups relative to their own average, they also had poorer sleep outcomes that night. Greater screen time was associated with later self-reported and Fitbit-recorded sleep onset and poorer self-reported sleep quality. Greater pickups was associated with later self-reported and Fitbit-recorded sleep onset. Smartphone use during the day did not relate to sleep outcomes, indicating the importance of distinguishing nighttime from daytime use.

CONCLUSIONS

Parents and clinicians should help adolescents develop healthy digital skills to avoid exacerbating sleep problems that are known to occur during this developmental period.

Factors Affecting Sleep Quality among University Medical and Nursing Students: A Study in Two Countries in the Mediterranean Region

Poor sleep quality, a global public health concern, poses a significant burden on individuals, particularly health care university students facing intense academic stress. A three-center cross-sectional study was conducted at the Higher Institute of Nursing and Health Sciences in Tetouan (Morocco), Faculty of Medicine in Tangier (Morocco) and Faculty of Nursing in Valencia (Spain). We collected various data using a sociodemographic questionnaire, the Pittsburgh sleep quality questionnaire, the international physical activity questionnaire (IPAQ) and the smartphone addiction questionnaire short-version (SAS-SV). A total of 1210 students were included in our study (mean age 20.4 years, 67.2% female, nursing students (66.2%) and medical students (33.8%), 76.1% students from Morocco and 33.9% from Spain). Analysis revealed a higher prevalence of poor sleep quality among Moroccans students compared to Spanish ones (p < 0.001), that nursing students showed less favorable sleep quality than medical students (p < 0.011) and that living with a chronic disease was linked to less favorable sleep quality (p < 0.001). Lastly, intense or weak physical activity and smartphone addiction were correlated with poor sleep quality (p < 0.001). In the multivariate analysis, an association persisted between poor sleep quality and factors such as the country of study (Odds ratio (OR): 6.25 [95% Confidence Interval (CI): 4.34-9.09]), involvement in nursing studies (OR: 3.50 [95% CI: 2.36-5.27]), and the presence of chronic diseases (OR: 2.70 [95% CI: 1.72-4.16]), (p < 0.01 each). Our findings highlight the multifaceted factors affecting sleep quality in young university students. The implications underscore the imperative of interventions tailored to this demographic group.

Why Haven't You Texted Me Back? Adolescents' Digital Entrapment, Friendship Conflict, and Perceived General Health

OBJECTIVE

Many adolescents feel pressure to be constantly available and responsive to others via their smartphones and social media. This phenomenon has been understudied using quantitative methods, and no prior study has examined adolescents' specific stress about meeting digital availability expectations within a best friendship, or entrapment. The present study offers an important preliminary examination of this unique digital stressor in a developmental context by examining prospective associations between digital entrapment, psychosocial adjustment, and health in adolescence.

METHOD

Students in a rural, lower-income school district in the southeastern US (n = 714; 53.8% female; 45.9% White, 22.7% Black, 24.0% Hispanic/Latino) completed self-report measures of digital entrapment, perceived general health, friendship conflict, and depressive symptoms at two timepoints, one year apart.

RESULTS

Digital entrapment, which 76.3% of the sample reported experiencing, was associated prospectively with higher levels of friendship conflict and worse perceived general health one year later among boys, but not girls. Findings suggest that digital entrapment is an extremely common experience for adolescents that may disproportionally affect boys. Entrapment was not prospectively associated with depressive symptoms.

CONCLUSIONS

Results offer insight into how boys may have different social media experiences significant to their development and health, while much work exploring gender differences in social media use thus far has elucidated negative effects for girls. Boys may perceive and respond to novel social norms of digital environments differently such that digital entrapment has the potential to be detrimental to their friendships and health.

The Influence of Smartphones on Adolescent Sleep: A Systematic Literature Review

(1) Background: Sleep is considered to be a complex condition for human beings, with the aim of ensuring physical and psychological recovery. Technology, including the cell phone, is a tool for teenagers that ensures they are always available to interact, even at night. This study aims to understand the influence of the use of smartphones on adolescent sleep quality. (2) Methods: The guidelines proposed by the Joanna Briggs Institute were followed. The search was conducted in October 2022 through the EBSCOhost platform, with access to the CINAHL Complete and Medline databases and through the b-On database. (3) Results: The use of electronic equipment plays an important role in adolescents' lives. There is a negative relationship between the use of electronic equipment, such as smartphones, and sleep, for reducing both the quality and quantity of sleep. There is also a relationship between nighttime smartphone use, insufficient sleep, and mental health problems. (4) Conclusions: The use of new technologies at night causes a change in the behavior of adolescents with repercussions in terms of the quality of sleep and sleep duration and consequent well-being and performance during the day.

The relationship between sleep duration and health among Pacific adolescents within New Zealand: Findings from the Pacific Islands families study

OBJECTIVE

Sleep insufficiency is bi-directionally associated with adverse behavioural, physical and mental health outcomes in paediatric populations. However, little is known about the degree of sleep insufficiency and its effect on Pacific adolescents' wellbeing.

METHODS

A cross-sectional study of 14-year old Pacific adolescents nested within a longitudinal birth cohort was conducted. Self-reported sleep duration was related to sentinel physical, mental, and risk taking behaviour measures in crude and adjusted logistic regression models. Complete case and multiple imputed analyses were conducted.

RESULTS

916 Pacific adolescents were eligible, with a mean age of 14.2 years. Valid sleep data were available from 828 (90.4%) participants, with only 220 (26.6%) meeting the recommended amount of sleep. Insufficient sleep duration was associated with significantly higher rates of depressive symptoms and risk taking behaviours. In multiple imputed analyses, increased body mass index was also significantly related.

CONCLUSIONS

Sleep insufficiency is ubiquitous among Pacific adolescents and associated with negative impacts on their health and wellbeing.

IMPLICATIONS FOR PUBLIC HEALTH

Insufficient sleep duration is amenable to change. Bespoke, culturally responsive public health strategies that draw attention to the importance of positive sleep practices are needed. Particularly, among adolescents who are at risk of experiencing the greatest burden of insufficient sleep.

Digital media use and sleep in late adolescence and young adulthood: A systematic review

Despite much attention on digital media use and young peoples' sleep, the literature on digital media and its impact on sleep in older adolescents and young adults remains to be synthesized. We conducted a systematic review of studies including young people aged 16-25 years. We searched Medline, Web of Science, and CINAHL for observational studies, identifying 60 studies. These studies were assessed for methodological quality. Only studies rated as moderate or high-quality studies were included (n = 42). A narrative synthesis summarized the impact of digital media use on eight sleep outcomes: Bedtime; Sleep onset latency or problems falling asleep; Sleep duration; Early awakening; Sleep disturbance; Daytime tiredness and function; Sleep deficits; Sleep quality. In summary, digital media use was associated to shorter sleep duration and poorer sleep quality. These associations were found for general screen use and use of mobile phone, computer, internet, and social media, but not for television, game console, and tablet use. Most studies investigating bedtime or nighttime use found associations to poor sleep outcomes. Later bedtime and daytime tiredness were associated with mobile phone use at night. Additional research is warranted to draw solid conclusions about the causal direction and to understand the underlying mechanisms.

Estimated all-day and evening whole-brain radiofrequency electromagnetic fields doses, and sleep in preadolescents

OBJECTIVE

To investigate the association of estimated all-day and evening whole-brain radiofrequency electromagnetic field (RF-EMF) doses with sleep disturbances and objective sleep measures in preadolescents.

METHODS

We included preadolescents aged 9-12 years from two population-based birth cohorts, the Dutch Generation R Study (n = 974) and the Spanish INfancia y Medio Ambiente Project (n = 868). All-day and evening overall whole-brain RF-EMF doses (mJ/kg/day) were estimated for several RF-EMF sources including mobile and Digital Enhanced Cordless Telecommunications (DECT) phone calls (named phone calls), other mobile phone uses, tablet use, laptop use (named screen activities), and far-field sources. We also estimated all-day and evening whole-brain RF-EMF doses in these three groups separately (i.e. phone calls, screen activities, and far-field). The Sleep Disturbance Scale for Children was completed by mothers to assess sleep disturbances. Wrist accelerometers together with sleep diaries were used to measure sleep characteristics objectively for 7 consecutive days.

RESULTS

All-day whole-brain RF-EMF doses were not associated with self-reported sleep disturbances and objective sleep measures. Regarding evening doses, preadolescents with high evening whole-brain RF-EMF dose from phone calls had a shorter total sleep time compared to preadolescents with zero evening whole-brain RF-EMF dose from phone calls [-11.9 min (95%CI -21.2; -2.5)].

CONCLUSIONS

Our findings suggest the evening as a potentially relevant window of RF-EMF exposure for sleep. However, we cannot exclude that observed associations are due to the activities or reasons motivating the phone calls rather than the RF-EMF exposure itself or due to chance finding.

Social media use, sleep, and psychopathology in psychiatrically hospitalized adolescents

Sleep disruption among adolescents represents a major public health concern, and social media use may play an important role in affecting sleep and subsequent mental health. While prior studies of youth sleep and mental health have often focused on social media use frequency and duration, adolescents' emotional experiences related to social media have been underexplored, particularly among clinically acute populations. This study offers a preliminary investigation of associations among negative emotional experiences using social media, sleep disturbance, and clinical symptom severity in a sample of psychiatrically hospitalized youth. A sample of 243 adolescents (Mage = 15.34) completed self-report measures at a single time point. Measures assessed social media use, including frequency and duration, subjective experiences of use, and emotional responses to use, as well as sleep disturbance and clinical symptom severity, including suicidal ideation, internalizing symptoms, and attention problems. Results revealed that more frequent negative emotional responses to social media use were linked to greater sleep disturbance and higher clinical symptom severity. Furthermore, sleep disturbance mediated the relation between negative emotional responses to social media and clinical symptom severity. While gender differences were revealed in characteristics of social media use, sleep disturbance, and clinical outcomes, the associations among these constructs did not vary across gender groups. Overall, these findings highlight sleep disturbance as a potential mechanism through which negative emotional experiences on social media may impact clinical symptoms in psychiatrically vulnerable youth.

Pre-sleep social media use does not strongly disturb sleep: a sleep laboratory study in healthy young participants

OBJECTIVE

Sleep is critical for our mental health and optimal cognitive functioning. Social media use is increasingly common and suspected to disturb sleep due to increasing bedtime arousal. However, most studies rely on self-reported sleep.

METHODS

We tested the effects of 30 min social media use on arousal and subsequent sleep in the sleep laboratory in 32 healthy young volunteers. Effects of blue-light were excluded in this study. We compared it to 30 min progressive muscle relaxation (PMR) and neutral sleep in a within-subject design.

RESULTS

Thirty minutes of social media use immediately before sleep did not significantly increase arousal and did neither disturb objective nor subjective sleep. After social media use, participants only spent less time in sleep stage N2. In contrast, PMR had the expected positive effects on pre-sleep arousal level indicated by reduced heart rate. In addition, PMR improved sleep efficiency, reduced sleep onset latency, and shortened the time to reach slow-wave sleep compared to a neutral night. Oscillatory power in the slow-wave activity and spindle bands remained unaffected.

CONCLUSION

Social media use before sleep (controlling for effects of blue-light) had little effect on bedtime arousal and sleep quality than what was previously expected. The most notable effect appears to be the additional time spent engaging in social media use at bedtime, potentially keeping people from going to sleep. As wake up-time is mostly determined externally, due to school or working hours, limiting personal media use at bedtime-and especially in bed-is recommended to get sufficient hours of sleep.

Sex differences in childhood sleep and health implications

CONTEXT

Sleep is critical for optimal childhood metabolic health and neurodevelopment. However, there is limited knowledge regarding childhood sex differences in sleep, including children with neurodevelopmental disorders, and the impact of such differences on metabolic health.

OBJECTIVE

To evaluate if sex differences in childhood sleep exist and if sleep associates with metabolic health outcomes equally by sex. Using autism spectrum disorder (ASD) as a case study, we also examine sleep sex differences in children with a neurodevelopmental disorder.

METHODS

A narrative review explored the literature focussing on sex differences in childhood sleep.

RESULTS

Sex differences in sleep were not detected among pre-adolescents. However, female adolescents were more likely to report impaired sleep than males. Childhood obesity is more common in males. Shorter sleep duration may be associated with obesity in male pre-adolescents/adolescents; although findings are mixed. ASD is male-predominant; yet, there was an indication that pre-adolescent female children with ASD had more impaired sleep.

CONCLUSION

Sex differences in sleep appear to emerge in adolescence with more impaired sleep in females. This trend was also observed among pre-adolescent female children with ASD. Further research is needed on sex differences in childhood sleep and metabolic health and the underlying mechanisms driving these differences.

Contemporary Variables that Impact Sleep and Development in Female Adolescent Swimmers and Gymnasts

The effects of sleep on elite athletes in late adolescence and early adulthood have been well documented in a myriad of sports. However, there is underrepresentation of pre-pubertal and young female adolescent athlete research between the ages of 11-17, and specifically female gymnast and swimmers. Neglecting to understand how high energy demand at a young age relates to sleep and restoration may lead to developmental ramifications for this group, as they display physiological dysfunctions like delayed puberty, amenorrhea and are at risk for the female athlete triad or components of the triad. This review aims to summarize the contemporary variables of blue light emitting screens, social media, and caffeine on quality and quantity of sleep in young athletes while identifying gaps in the literature on how these factors impact the target group of young female swimmers and gymnasts.  The implications of this work include sleep hygiene recommendations for increasing duration and quality of sleep, as well as future research with respect to electronic device usage, social media participation, caffeine consumption, and sport engagement in female early adolescent athletes.

Social learning in the digital age: Associations between technoference, mother-child attachment, and child social skills

Technoference refers to incidents in which technology use interferes with interpersonal exchanges (e.g., conversations, playing). Although research on technoference is in its infancy, there is preliminary evidence that mothers believe technoference has a detrimental impact on the social-emotional functioning of their child. The current study investigated the degree to which technoference was associated with attachment between mothers and their elementary-aged children. A second aim was to determine if the relationship between technoference and children's social-emotional functioning may be moderated by mother-child attachment. Surveys were completed by a sample of 80 mothers and their elementary-aged children. This study is unique in asking elementary-aged children to report their perceptions of parental technoference and the impact it has on their relationship with their mother and their own social-emotional functioning. More frequent technoference was associated with less secure mother-child attachment as rated by children, but not as rated by mothers. That is, frequent technoference may not significantly influence a mother's attachment to their child, but it is associated with a child's attachment to their mother. More frequent technoference was associated with decreased ratings by mothers regarding their child's social-emotional functioning. Furthermore, maternal attachment moderated the relationship between technoference and child externalizing behaviors, such that a more secure attachment served as a protective factor against the negative impact of technoference on child externalizing behaviors. However, attachment did not moderate the relationship between technoference and most social skills assessed in our study. Implications from this study are discussed, including ways to increase awareness of technoference among school personnel, parents, and youth.

A longitudinal investigation of sleep and technology use in early adolescence: does parental control of technology use protect adolescent sleep?

OBJECTIVE

A bi-directional relationship between technology use and adolescent sleep is likely, yet findings are mixed, and it is not known whether parental control of technology use can protect sleep. The current study examined bi-directionality between technology use on school nights and morning/eveningness, sleep duration and daytime sleepiness in early adolescents. We also examined whether time spent using technology mediated the relationship between parental control of technology and adolescent sleep.

METHODS

Adolescents and their primary caregiver (96% mothers) completed questionnaire measures of sleep, technology use and parental control across three, annual waves: Wave 1 (N = 528, M_age = 11.18, SD = 0.56, range = 10-12, 51% male), Wave 2 (N = 502, M_age = 12.19, SD = 0.53, 52% male) and Wave 3 (N = 478, M_age = 13.19, SD = 0.53, 52% male).

RESULTS

When examining the direct relationship between sleep and technology use, cross-lagged panel models showed that time spent using technology predicted shorter sleep duration and greater daytime sleepiness in adolescence, and evening diurnal preference and shorter sleep duration contributed to increased technology use over time. The relationship between technology use and sleep duration was bi-directional. Time spent using technology and adolescent sleep predicted, yet were not predicted by, parental control of technology use.

CONCLUSIONS

While normative changes in sleep (eg, increased eveningness) may promote increased technology use, technology use may further impinge upon sleep. Results suggest it may be pertinent to instead find creative ways in which adolescents themselves can mitigate their risk of inadequate sleep.

Association of parent-child physical activity: a review update of Brazilian studies – Report Card Brazil

Abstract This systematic review update aimed to search for new evidences about parent-child physical activity among Brazilian studies. A new literature search for Brazilian studies published until 31 December 2019 was performed in the databases Medline, Embase, Cinahl, Lilacs, Sport Discus, and SciELO by the combination of descriptors regarding children and adolescents, physical activity, and parental support, restricted to English and Portuguese language. As result, only one new study were included besides those from previous review which corroborated with previous findings about positive relationship of parent-child physical activity. The included studies (n=14) were presented according to geographical distribution, year of publication, research design and physical activity assessment method. Limitations and future directions about specific physical activity domains and weekly amount, as well as peers and environmental support were highlighted. This review findings reinforced that parental lifestyle behavior is an important factor for active lifestyle promotion among Brazilian children and adolescents.

The Effects of Mobile Electronic Devices Use on the Sleep States of University Students

OBJECTIVE

In this study, the purpose was to evaluate the effect of mobile electronic devices (MEDs) use on the sleep states of university students.

METHODS

The study was conducted in a cross-sectional fashion between April 21, 2019 and May 31, 2019 with the participation of the students registered in a public university at medical faculties and faculty of health sciences. Television viewing, MED and desktop computer use form, Morningness-Eveningness Questionnaire, Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), and Sleepiness Severity Index (SSI) were used as data collection tools. The data of 752 students (56.5% girls, mean age: 20.57 [SD = 1.54] years) were analyzed.

RESULTS

In this study, overall MED use times and PSQI, ESS, and SSI total scores were higher in students who had an evening-oriented chronotype. There was a negative relationship between overall and evening MED use times and the chronotype scores of the students. As a result of the regression analyses applied to the PSQI, ESS, and SSI dependent variables, a positive and significant relationship was detected with smartphone use times (P < 0.05, P = 0.05, and P < 0.001, respectively). In addition, there was a positive relationship between PSQI and ESS variables and iPod touch use times (P < 0.001 and P < 0.05, respectively).

CONCLUSION

Overall MED use times were determined to be higher in students who had Type E chronotype. It was also determined that their sleep quality was poorer and their insomnia severity was higher, and there was more sleepiness in the students with chronotype E. Comprehensive interventions must be planned by professional healthcare staff for students on the topics of sleep hygiene and conscious media use.

The impact of reduced sleep on school related outcomes for typically developing children aged 11–19: A systematic review

This systematic literature review examines the relationship between restricted and reduced sleep and school performance, learning and cognitive functioning in typically developing adolescents. Correlational and experimental data were evaluated from 17 studies which included participants ranging from 11 to 19 years in studies from seven countries around the world. The review found that there is evidence that restricted and reduced sleep is negatively associated with school performance and cognitive outcomes, although the findings were mixed. Implications for psychologists working with schools are discussed. More research and evaluation is needed to establish how these factors relate to each other conclusively.

Evening and night exposure to screens of media devices and its association with subjectively perceived sleep: Should "light hygiene" be given more attention?

OBJECTIVE

The aim of the study was to examine subjective sleep quality in a population of healthy volunteers and its association with evening and night light exposure to screens of media devices.

METHODS

A total of 693 participants (mean age 31.2±11.4 years, 159 men, and 538 women) completed an online questionnaire battery consisting of several sleep-related questionnaires: PSQI, FSS, MCTQ, MEQ, and added questions assessing the timing and character the evening and night exposure to electronical devices (TV, PC, tablets, and phones), and the use of various filters blocking short-wavelength light.

RESULTS

Statistical analyses show that longer cumulative exposure to screen light in the evening was associated with greater sleep inertia in the morning (P = .019, η²=0.141) and longer sleep latency on workdays P = .038, η²=0.135). Furthermore, exposure to screen light 1.5 h before sleep or during night awakenings was also associated with a decreased chance to wake up before alarm clock (P = .003, d=0.30), larger social jet lag (P < .001, d=0.15), more daytime dysfunction (P < .001, d=0.40), decreased subjective sleep quality (P = .024, d=0.16), and more fatigue (P < .001, d=0.52). A statistical trend for an increase in duration of sleep on weekdays (P = .058, d=0.23) was also found in participants using blue-light filters in the evening hours.

DISCUSSION

Our results are in line with other studies that converge to show the negative association of evening and night exposure to short-wavelength light on subjective and objective sleep parameters. Results suggest that light hygiene in general population should be given more attention not only in the context of clinical sleep medicine but also in the realm of public health.

Social Jetlag and Its Association With Screen Time and Nighttime Texting Among Adolescents in Sweden: A Cross-Sectional Study

The discrepancy between social and biological clock due to sleep and wake up time difference across weekdays and weekends is referred as social jetlag. The overall aim of this study is to test whether there is an association between both screen time and nighttime texting and social jetlag among 13- to 15-year-old adolescents in Sweden. This study included a cross-sectional survey in which data were collected from all schools with grades 7 and 8 in four municipalities in southern Sweden. The sample consisted of 1518 students (72.7% response rate), among whom 50.7% were girls. Ages varied between 13 and 15 years (mean, 13.9; standard deviation (SD), 0.4). Social jetlag was defined as more than 2 h difference between bedtime and wake-up time on school days compared to weekends. The prevalence of social jetlag among this study population was 53.9%. After adjusting for age, sex, and economic status, the multivariate binary logistic regression analysis results showed that increased screen time (p < 0.001) and texting at night (p = 0.002) were significantly associated with social jetlag. Irregular bedtime and wake-up habits on school days and weekends are associated with nighttime texting and increased screen time. For future research, more focus should be given to identifying causality factors and gain an understanding of the effects of social jetlag, which will help in developing appropriate public health messages and intervention programs.

Parents still matter: the influence of parental enforcement of bedtime on adolescents’ depressive symptoms

Study Objectives

The aim of the current study was to test a multilevel mediation model that examined how adolescent sleep duration might be linked to depressive symptoms via their daytime energy levels. Furthermore, the study examined how parents’ enforcement of various types of bedtime rules predicted the duration of adolescent sleep.

Methods

A total of 193 adolescent (ages 14–17; Mage = 15.7 years old, SD = .94; 54.4% female; 71% Caucasian) and parent dyads completed baseline, online surveys, and adolescents also completed online 7-day, twice-daily (i.e. morning and evening) reports of their sleep duration (morning diary) and their energy levels and depressive symptoms throughout the day (evening diary). Parents (Mage = 47.6 years old, SD = 5.4; 80% female) completed assessments of enforcement of bedtime-related rules (i.e. bedtime, cessation of electronic media usage, prohibiting afternoon/evening caffeine consumption). Multilevel modeling enabled the testing of the mediation model both at the between-person level and within individuals.

Results

Results suggested that adolescents’ energy levels mediated the association between adolescents’ sleep duration and depressive symptoms. Furthermore, both greater enforcement of bedtimes and later school start times predicted longer sleep durations for adolescents, and were indirectly associated with adolescents’ depressive symptoms.

Conclusions

These findings underscore the importance of adolescents obtaining sufficient sleep to support their mental health and suggest a critical point of intervention for preventing or decreasing insufficient sleep. Given the diverse threats to adolescents’ sleep as well as adolescents’ desire for greater independence, collaborative, autonomy-promoting bedtime limit-setting is recommended to support adolescents’ well-being.

The association between excessive screen-time behaviors and insufficient sleep among adolescents: Findings from the 2017 youth risk behavior surveillance system

Although studies have examined the association between television viewing and poor sleep quality, few studies have considered the association between excessive screen-time behaviors and insufficient sleep among adolescents drawing on a large nationally representative sample. The objective of this study was to examine the association between excessive screen-time behaviors and insufficient sleep among adolescents. Data for this study came from the 2017 Youth Risk Behavior Survey. A sample of 14,603 adolescents aged 14-18 years (51.5% female) was analyzed using logistic regression with insufficient sleep as the outcome variable and excessive screen-time behaviors as the main explanatory variable. Of the 14,603 adolescents, almost three out of four (74.8%) had less than 8 h of sleep on an average school night, and about 43% engaged in excessive screen-time behaviors on an average school day. Controlling for all other predictors, odds were 1.34 times higher for adolescents who engaged in excessive screen-time behaviors to have insufficient sleep when compared to adolescents who did not engage in excessive screen-time behaviors (AOR = 1.34, p < .001, 95% CI = 1.22-1.48). School-based behavior interventions that focus on reduction in excessive screen-time and sedentary behaviors might be beneficial in reducing excessive screen-time behaviors and consequently improve sleep quality among adolescents.

Sex differences in insomnia and risk for psychopathology in adolescence

This review examines sex differences in sleep disturbance and risk for psychopathology, with a particular focus on the emergence of insomnia and risk for depression among adolescents. Possible explanations for the female preponderance of adolescent insomnia is discussed. The significance of the temporal relationship between adolescent insomnia and depression is discussed, as the extant literature suggests that insomnia tends to precede depression more than the inverse. Whether a causal relationship may exist between the two conditions and possible mechanisms underlying sex differences are highlighted along with important areas for future research.

Relationship between Physical Activity, Screen Time, and Sleep Quantity and Quality in US Adolescents Aged 16⁻19

Despite the health benefits associated with physical activity (PA), screen time reduction, and sleep quantity and quality, the relationships between PA, screen time, and sleep quantity and quality remain unclear in adolescents. The present study is a cross-sectional analysis of data from adolescents aged 16–19 years who participated in the 2005–2006 National Health and Nutrition Examination Survey (n = 542). Multivariable logistic regression models, adjusted for confounders, examined the relationship between objectively measured PA, self-reported screen time, and sleep quantity and quality. Respondents who met the current PA recommendation had 50% lower odds of having sufficient sleep (≥8 h) than those not meeting the recommendation (OR = 0.50, 95% CI: 0.26, 0.94). Respondents who met the screen time recommendation (≤2 h/day) had 55% lower odds of reporting poor sleep quality than those whose screen time exceeded the recommendation (OR = 0.45, 95% CI: 0.22, 0.91), with similar patterns observed for females and males. However, males who met both PA and screen time recommendations had 73% lower odds of reporting poor sleep quality than males who met neither recommendation (OR = 0.27, 95% CI: 0.07, 0.99). In conclusion, PA and screen time are associated with sleep quantity or sleep quality in adolescents, and there are differences in these associations by sex.

Telecommunication devices use, screen time and sleep in adolescents

PURPOSE

To investigate the association between telecommunication and other screen devices use and subjective and objective sleep measures in adolescents at 17-18 years.

METHODS

Cross-sectional study on adolescents aged 17-18 years from a Spanish population-based birth cohort established in Menorca in 1997-1998. Information on devices use was collected using self-reported questionnaires. Mobile Phone Problematic Use Scale was used to assess mobile phone use dependency. Pittsburgh Sleep Quality Index was used to assess subjective sleep (n = 226). ActiGraph wGT3X-BT for 7 nights was used to assess objective sleep (n = 110).

RESULTS

One or more cordless phone calls/week was associated with a lower sleep quality [Prevalence Ratio (PR) 1.30 (95%Confidence Interval (CI) 1.04; 1.62)]. Habitual and frequent problematic mobile phone use was associated with a lower sleep quality [PR 1.55 (95%CI 1.03; 2.33) and PR 1.67 (95%CI 1.09; 2.56), respectively]. Higher tablet use was associated with decreased sleep efficiency and increased minutes of wake time after sleep onset [β-1.15 (95%CI -1.99; -0.31) and β 7.00 (95%CI 2.40; 11.60) per increase of 10 min/day of use, respectively]. No associations were found between other devices and sleep measures.

CONCLUSIONS

Frequency of cordless phone calls, mobile phone dependency, and tablet use were related to an increase of subjective and objective sleep problems in adolescents. These results seem to indicate that sleep displacement, mental arousal, and exposure to blue light screen emission might play a more important role on sleep than a high RF-EMF exposure to the brain. However, more studies are needed assessing personal RF-EMF levels to draw conclusions.

[Sleep and Psychological Functioning of Children and Adolescents - a Narrative Review]

Sleep and Psychological Functioning of Children and Adolescents - a Narrative Review Children and adolescents need sufficient and restoring sleep to improve their cognitive, emotional, social and behavioral performance. The present narrative review describes the associations between children's and adolescents' sleep patterns and a broad variety of topics; these topics were chosen at the authors' discretion and does not claim to be exhaustive. After a short introduction, we describe the associations between (adolescent) children's sleep in tight relation to the family functioning. Specifically, (adolescent) children's sleep and psychological functioning appears to be related to mothers' sleep and psychological functioning. Findings from longitudinal studies are reported, which underline that poor sleep at childhood increases the risk of poor sleep and somatic and psychological health issues later in life. Excessive screen time in the evening increases the risk of shorter sleep duration and increased daytime sleepiness; on the flip side, it also appears the excessive screen time might be a coping strategy to deal with symptoms of anxiety; further, using social media in the evening seems to be associated with the adolescents' need to stay in touch with their peers. While physical inactivity and sedentary behavior is a serious health concern, in children and adolescents, regular physical activity is associated with improved subjective and objective sleep and a broad variety of psychological health outcomes. Further selective topics are: While children and adolescents with repaired cleft did not show disadvantages in their sleep and psychological functioning compared to their counterparts without clefts, at the age of seven to nine years, very preterm children show unfavorable sleep patterns and psychological functioning, compared to typically developing children.

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.

The Prospective Association Between Electronic Device Use Before Bedtime and Academic Attainment in Adolescents

PURPOSE

To examine longitudinal associations between five commonly used technology devices prior to bedtime and real-life academic outcomes in adolescents.

METHODS

A total of 853 adolescents were recruited to a three-year prospective cohort study, with annual assessments. Academic grades/levels for three core subjects (English, Mathematics, and Science) were extracted from school records, and standardized (z-scores) were derived at the end of each academic year. A validated questionnaire was used to determine the frequency of using five types of technology (television viewing, video gaming, mobile telephone use, listening to music, and social networking) before bedtime.

RESULTS

After adjustment, English attainment was the subject most affected by prebedtime technology use, where three of five technologies assessed were negatively and prospectively associated (social networking [β = -.07 and p = .024], video gaming [β = -.10 and p = .008], and mobile telephone [β = -.07 and p=.017]). Social networking (β = -.07and p = .042), television viewing (β = -.08 and p = .044), and mobile telephones (β = -.07 and p = .031) were associated with significant impairment in English for girls whereas attainment in boys was most impaired by video gaming (β = -.12 and p = .014).

CONCLUSIONS

The use of electronic devices by adolescents before bedtime may reduce their academic attainment, but apart from video gaming for boys, the negative impact of near bedtime technology use on academic performance is small.

Insufficient Sleep Is Associated with Obesity and Excessive Screen Time Amongst Ten-Year-Old Children in Sweden

PURPOSE

This study investigated sleep, television, computer habits, and obesity in school-age children.

DESIGN AND METHODS

This was a cross-sectional self-report survey of 1260 children in grade 4 (mean age, 10.1) living in southern Sweden (49.1% boys). The heights and weights of 1097 (87.1%) of the children were recorded. Descriptive statistics, bivariate analyses, and multiple logistic regression were employed.

RESULTS

The median length of self-reported sleep on weeknights was 9.5h. Approximately 40% of the children reported receiving <9h of sleep. The median bedtime was 9PM (21:00). On weekends, the median bedtime was 1 h later, and they delayed getting up by 1.5h. The median time spent watching TV and using a computer was 1 h each. The prevalence of being overweight (including obesity) was 18%. Insufficient sleep (<9h) was associated with being overweight, watching TV, or using a computer for two or more hours each day, difficulty falling asleep, and being tired at school.

CONCLUSIONS

School-age children who receive less sleep are more likely to be overweight and report excessive television and computer use. A strong and urgent need exists to highlight the importance of healthy sleep and media habits. It is challenging for pediatric nurses and school nurses to teach children and their families about healthy sleep and media habits.

Adolescents' Perspectives on Using Technology for Health: Qualitative Study

BACKGROUND

Adolescents' wide use of technology opens up opportunities to integrate technology into health visits and health care. In particular, technology has the potential to influence adolescent behavior change by offering new avenues for provider communication and support for healthy choices through many different platforms. However, little information exists to guide the integration of technology into adolescent health care, especially adolescents' perspectives and preferences for what they find useful.

OBJECTIVE

This qualitative study aimed to take a broad approach to understanding adolescents' use of technology for supporting their overall health and to understand whether and how adolescents envision using technology to enhance their health and clinical care, particularly in communicating with their provider.

METHODS

Adolescents (13-18 years) were recruited to participate in semi-structured, in-depth individual interviews. Potential participants were approached in-person through the Seattle Children's Hospital Adolescent Medicine Clinic while they were waiting for consultation appointments, through outreach to youth who expressed interest in other local research study activities, and via flyers in waiting rooms. Interviews were recorded, transcribed, and analyzed using a thematic analysis approach.

RESULTS

Thirty-one adolescents (58% female, M= 15.2 years) were interviewed and described 3 main uses of technology: (1) to gather information, (2a) to share their own experiences and (2b) view others' experiences in order to gain social support or inspiration, and (3) to track behaviors and health goals. Perceived benefits and potential downsides were identified for technology use. Teens desired to use technology with their provider for 3 main reasons: (1) have questions answered outside of visits, (2) have greater access to providers as a way to build relationship/rapport, and (3) share data regarding behaviors in between visits. Social media was not a preferred method for communicating with providers for any of the youth due to concerns about privacy and intrusiveness.

CONCLUSIONS

Although youth are avid users of technology in general, in regard to technology for health, they display specific use preferences especially in how they wish to use it to communicate with their primary care provider. Healthcare providers should offer guidance to youth with regard to how they have used and plan to use technology and how to balance potential positives and negatives of use. Technology developers should take youth preferences into account when designing new health technology and incorporate ways they can use it to communicate with their healthcare provider.

Sleepiness in Adolescents

Sleepiness and sleep deprivation among adolescents are increasingly being recognized as a public health concern. Many of the determinants of this growing problem lie beyond the biomedical scope of explanation. In this article, the authors begin with a review of the prevalence and consequences of sleepiness in adolescents and then present the approach to a sleepy adolescent and the underlying cause. The topic is discussed from clinical as well as public health perspectives.