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

Family resilience mediates exposure to adverse childhood experiences on insufficient sleep among children: findings from a population-based study

Background

Sleep plays a vital role in the well-being of children and adolescents. Researchers have identified adverse childhood experiences (ACEs) as an important factor associated with poor sleep among adolescents. The objective of this study was to examine the mediating role of family resilience on the association between ACEs and insufficient sleep among adolescents in the United States.

Methods

Data for this study came from the 2018-2019 National Survey of Children's Health (N = 28,097). The outcome variable in this study was insufficient sleep, and the main explanatory variable was exposure to ACEs. The mediating variable was family resilience. Data were analyzed using binary logistic regression.

Results

Based on parent reports, one in five (22.4%) adolescents did not meet the recommended sleep hours on an average night. About half of the adolescents had no ACEs, 24.2% had one ACE, and 14.6% had three or more ACEs. Controlling for the effect of other factors and family resilience, the odds of having insufficient sleep were 1.63 times higher for children exposed to three or more ACEs (AOR = 1.63, 95% CI = 1.30-2.05). Family resilience partially mediates the association between exposure to ACEs and insufficient sleep. Each additional increase in family resilience decreased the odds of having insufficient sleep by a factor of 12% (AOR = 0.88, 95% CI = 0.86-0.91).

Conclusions

Family resilience partially mediated exposure to ACEs on insufficient sleep. There are modifiable factors that may improve sleep outcomes among adolescents who have been exposed to adversity. Future research can help elucidate findings and establish the directionality of this association.

Adherence to sleep recommendations is associated with higher satisfaction with life among Norwegian adolescents

BACKGROUND

Sleep plays a crucial role in the health and well-being of adolescents; however, inadequate sleep is frequently reported in numerous countries. This current paper aimed to describe sleep duration, factors impacting sleep, consequences of insufficient sleep and satisfaction with life in Norwegian adolescents, stratified by sex and by adherence to the 8-hour sleep recommendation, and to examine potential associations between adherence to the 8-hours sleep recommendation and satisfaction with life.

METHODS

This is a cross-sectional study using data from the Norwegian Ungdata Survey, collected in 2021. Adolescents from five Norwegian counties were included, comprising a total of 32,161 upper secondary school students. Study variables were collected through an electronic questionnaire administered during school hours and all data are anonymous. Descriptive data of sleep patterns are presented, and linear regressions were conducted adjusting for SES, perceived stress, physical activity level, over-the-counter analgesics use, grade level and screen time.

RESULTS

73% of adolescents did not adhere to the 8-hours of sleep recommendation per night, with similar results for girls and boys. 64% reported tiredness at school (minimum 1-2 days weekly) and 62% reported that screen time negatively affected their ability to sleep. 23% reported that gaming affected their sleep, with a higher prevalence in boys than girls. Satisfaction with life score was 7.0 ± 1.9 points (out of 10) for the total sample, with higher scores for boys (7.3 ± 1.8 points) than girls (6.9 ± 1.9 points). Regressions revealed a positive association with satisfaction with life (B = 0.31, 95% [0.15 to 0.48]) in adolescents adhering to sleep recommendation of 8h compared to the ones not adhering to the sleep recommendation.

CONCLUSIONS

Most Norwegian adolescents fail to adhere to the 8-hours of sleep recommendation and the majority feel tired at school or during activities. More than half of adolescents reported that screen time negatively affected their ability to sleep. Adhering to the sleep recommendation was associated with higher life satisfaction. Our findings highlight the importance of sufficient sleep in adolescents, while future research is needed to examine other sleep related measures on adolescents´ satisfaction with life.

Bedtime Regularity and Sleep Sufficiency in Children With Tourette Syndrome

BACKGROUND

Despite research demonstrating sleep disturbance in children with Tourette syndrome (TS), few studies have examined bedtime regularity and sleep sufficiency, two important sleep health dimensions. Therefore, this study examined bedtime regularity and sleep sufficiency in children with TS relative to matched healthy control subjects, and its associated demographic, clinical, and behavioral factors.

METHODS

Participants were 384 parents or caregivers of children aged three to 17 years, including 192 with current TS and 192 matched healthy control subjects drawn from the 2020-2021 cycle of the National Survey of Children's Health. Parents completed questions assessing demographic (i.e., age, race, sex), clinical (i.e., attention-deficit/hyperactivity disorder [ADHD], autism spectrum disorder, anxiety, depression, tic severity, behavioral or conduct problems, ADHD medication, health condition-related impairment), and behavioral (i.e., screen time) characteristics. Mann-Whitney U test and chi-square test of independence were performed to compare groups on bedtime regularity and sleep sufficiency, respectively. Ordinal regression and binary logistic regression without and with backward elimination were performed to evaluate indicators of bedtime regularity and sleep sufficiency, respectively, in children with TS.

RESULTS

Children with current TS had significantly poorer bedtime regularity, but not sleep sufficiency, relative to matched healthy control subjects. In children with TS, anxiety and two or more hours of daily screen time were associated with higher likelihood of poor bedtime regularity. Autism was associated with lower likelihood of insufficient sleep, and depression was associated with increased likelihood of insufficient sleep.

CONCLUSIONS

Findings put forth screen time, anxiety, and depression as intervention targets to optimize sleep health in children with TS.

Interaction effect of screen time and sugar-sweetened beverages with depressive symptoms in adolescents: evidence from a large sample-based survey in China

Excessive screen time and the consumption of sugar-sweetened beverages are found to be independent predictors of depressive symptoms. However, the potential interaction effect of screen time and sugar-sweetened beverages, that is, whether one exposure factor strengthens the association of another with depressive symptoms, remains unclear. A large-scale adolescent health surveillance survey was conducted in 27 schools in eight regions across China. A total of 22,868 students were recruited to complete an eligible questionnaire to provide details of their screen time and sugar-sweetened beverage consumption. Depressive symptoms were assessed using the Patient Health Questionnaire (PHQ-9). Multiplicative and additive interaction models were performed to estimate the interaction effects of screen time and sugar-sweetened beverages on depressive symptoms, and whether the relationship varied by age group was also examined. The multivariate logistic regression model showed that even if the confounding factors were controlled, screen time and sugar-sweetened beverages were still risk factors for depressive symptoms in adolescents. Interaction models indicated that screen time and sugar-sweetened beverages in combination were related to greater odds of depressive symptoms. Compared with late adolescents, early adolescents had a higher probability of depressive symptoms when exposed to the joint effects. Our study may hopefully deepen the understanding of the association between screen time and sugar-sweetened beverages and depressive symptoms. Future research should further explore how and why screen time and sugar-sweetened beverages affect individuals more profoundly in early adolescence than in late adolescence and how to mitigate this.

Mediation of the association between screen time and suicidality by overweight/obesity and perceived overweight: results from the youth risk behavior surveillance system of the United States

Aim

Adolescent suicide is a major public health concern, and modifiable risk factors associated with adolescent suicide remain poorly understood. This study aimed to assess the association between screen time and overweight/obesity and self-perceived overweigh and suicidality in adolescents.

Methods

Adolescents from the United States Youth Risk Behavior Surveillance System (YRBSS) between 2013 and 2019 were included in this cross-sectional study. The outcome was suicidality, including considered suicide, made a suicide plan, attempted suicide, and injurious suicide attempt. Multivariable logistic regression model was used to investigate the associations between screen time, overweight/obesity, self-perceived overweight, and suicidality, and expressed as odds ratio (OR) and 95% confidence interval (CI). Mediation analysis was used to explore the role of overweight/obesity and self-perceived overweight on the association between screen time and suicidality.

Results

A total of 30,731 adolescents were included, of which 6,350 (20.65%) had suicidality, including 5,361 (17.45%) with considered suicide, 4,432 (14.42%) with made a suicide plan, 2,300 (7.45%) with attempted suicide, and 677 (2.21%) with injurious suicide attempt. Adolescents with screen time ≥3h were related to higher odds of suicidality (OR=1.35, 95%CI: 1.23-1.46), overweight/obesity (OR=1.27, 95%CI: 1.19-1.38), and self-perceived overweight (OR=1.38, 95%CI: 1.30-1.48) after adjusting confounders. Adolescents with overweight/obesity (OR=1.30, 95%CI: 1.19-1.43) and self-perceived overweight (OR=1.54, 95%CI: 1.39-1.70) were associated with higher odds of suicidality. The association between screen time and suicidality was 4.67% mediated by overweight/obesity and 9.66% mediated by self-perceived overweight. Moreover, the mediating role of overweight/obesity was observed only in females, whereas there were no sex differences in the mediating effect of self-perceived overweight.

Conclusion

Both overweight/obesity and self-perceived overweight mediated the association between screen time and suicidality.

The genetic architecture of youth anxiety: a study protocol

BACKGROUND

Anxiety disorders are the most common psychiatric problems among Canadian youth and typically have an onset in childhood or adolescence. They are characterized by high rates of relapse and chronicity, often resulting in substantial impairment across the lifespan. Genetic factors play an important role in the vulnerability toward anxiety disorders. However, genetic contribution to anxiety in youth is not well understood and can change across developmental stages. Large-scale genetic studies of youth are needed with detailed assessments of symptoms of anxiety disorders and their major comorbidities to inform early intervention or preventative strategies and suggest novel targets for therapeutics and personalization of care.

METHODS

The Genetic Architecture of Youth Anxiety (GAYA) study is a Pan-Canadian effort of clinical and genetic experts with specific recruitment sites in Calgary, Halifax, Hamilton, Toronto, and Vancouver. Youth aged 10-19 (n = 13,000) will be recruited from both clinical and community settings and will provide saliva samples, complete online questionnaires on demographics, symptoms of mental health concerns, and behavioural inhibition, and complete neurocognitive tasks. A subset of youth will be offered access to a self-managed Internet-based cognitive behavioral therapy resource. Analyses will focus on the identification of novel genetic risk loci for anxiety disorders in youth and assess how much of the genetic risk for anxiety disorders is unique or shared across the life span.

DISCUSSION

Results will substantially inform early intervention or preventative strategies and suggest novel targets for therapeutics and personalization of care. Given that the GAYA study will be the biggest genomic study of anxiety disorders in youth in Canada, this project will further foster collaborations nationally and across the world.

The Impact of Screen Time on Sleep Patterns in School-Aged Children: A Cross-Sectional Analysis

BACKGROUND

In a world filled with technology, there's concern about the impact of screen time on children and teenagers. A recent study of 11,875 children aged nine to 10 in the US explored how screen time affects mental health, behaviour, school performance, sleep, and friendships. The results indicate that more screen time is mildly linked to worse mental health, more behaviour problems, lower academic performance, and poorer sleep, but slightly better peer relationships. However, these connections were weak, with socioeconomic status (SES) having a stronger influence on these outcomes. The study doesn't prove that screen time causes these issues, suggesting that increased screen time might not be directly harmful to children in this age group. The research adds to the understanding of how screen time impacts children's well-being and highlights the importance of promoting healthy habits. Our study aims to add to this literature by examining how screen time impacts sleep quality, dream recall, and academic performance in school-aged children. Understanding the potential consequences of screen time is crucial for promoting healthy habits and ensuring the overall well-being of children. Our research seeks to provide further insights into the relationship between screen time and key aspects of children's lives as its prevalence continues to rise.

METHODS

The research incorporates a cohort of 1000 school-aged children, bifurcated evenly into two categories based on their daily screen exposure: a low screen time group (less than one hour daily, n = 500) and a high screen time group (over three hours daily, n = 500). The study probes into the correlation between screen time and various health parameters, such as sleep patterns, dream recall, and academic prowess.

RESULTS

The analysis showed that children with low screen time had better sleep efficiency (90% vs. 75%), more frequent dream recall (70% vs. 30%), fewer nocturnal awakenings (0.5 vs. 1.5 times weekly), less daytime sleepiness (20% vs. 60%), and higher physical activity levels (60 vs. 30 minutes per day) compared to those with high screen time. They also had less weekend sleep variability (1.2 hours) and a lower risk of circadian rhythm disturbances (20% increased risk in the high screen time group). Additionally, a screen-free bedroom was more common in the low screen time group (85% vs. 30%), and parental involvement in sleep routines was higher (90% vs. 40%). Academically, the low screen time group achieved higher grades ('A' to 'A+' vs. 'B'), and they had more face-to-face social interactions (two vs. one hour per day).

CONCLUSION

Escalating screen time is correlated with detrimental impacts on sleep efficiency, dream recall, physical activity, circadian rhythms, and academic performance in school-aged children. Fostering a screen-free bedroom environment and augmenting parental involvement in sleep routines may alleviate these adverse effects.

Association between smartphone usage and health outcomes of adolescents: A propensity analysis using the Korea youth risk behavior survey

OBJECTIVES

We aimed to investigate the association between smartphone use and adverse behavioral health outcomes using nationwide Korea Youth Risk Behavior Web-based Survey data for 2017 and 2020.

METHODS

The 2020 data (N = 54,809) were used to analyze the relationships between daily smartphone usage time (non-user, 0-2 h [hour], 2-4 h, 4-6 h, 6-8 h, and > 8 h), and adverse health outcomes (stress, sleep, depression, suicide, substance use, and smartphone overdependence). A 1:1 propensity score matching (PSM) was used to control for confounding variables.

RESULTS

A total of 40,998 adolescents with < 4 h/day and > 4 h/day of usage were included. Adolescents' mean smartphone usage time in 2020 increased compared to that in 2017 (weighted % of > 2 h/day; 64.3% vs. 85.7%). The curvilinear relationships between smartphone usage time and adverse health outcomes were prominent after > 4 h/day. Adolescents using smartphones 2-4 h/day showed no increased adverse health outcomes compared to non-users, except for smartphone overdependence. Using a smartphone > 4 h/day was significantly associated with stress perception (1.16; 1.11-1.22), suicidal ideation (1.22; 1.13-1.31), and substance use (alcohol, 1.66; 1.57-1.75) after PSM.

CONCLUSIONS

Our study demonstrated the curvilinear relationship between smartphone usage time and adverse health outcomes in adolescents. Our findings can help establish smartphone usage guidelines for adolescents.

Sleep duration in schooldays is associated with health-related quality of life in norwegian adolescents: a cross-sectional study

BACKGROUND

Insufficient sleep is commonly reported in adolescence and is negatively associated with a wide range of health outcomes. A way to grasp the complicated challenge of how sleep impact different aspects of the adolescents´ everyday life is by examining the relationship between sleep duration in schooldays and weekends on different health-related quality of life (HRQOL) subscales. Furthermore, to expand the understanding of possible underlying mechanisms between sleep and HRQOL, testing for self-efficacy as a possible mediator is of importance.

METHODS

A cross-sectional study was performed among 696 adolescents aged 13-15 years from a school-based setting. All participants completed an electronic survey in their respective classrooms. The survey included demographic data, the School Sleep Habits Survey, the KIDSCREEN-27 questionnaire measuring HRQOL, and the General Perceived Self-Efficacy Scale. Statistical analyses were conducted using SPSS Statistics software including PROCESS macro by Andrew Hayes.

RESULTS

Our findings revealed overall similar sleep patterns in boys and girls including longer sleep duration in the study sample during weekends (10:09 h) than in schooldays (08:36 h). Regression analyses revealed that sleep duration in schooldays was positively and statistically associated with HRQOL subscales psychological well-being (95% CI [0.44 to 1.33]), autonomy and parents (95% CI [0.12 to 1.06]), school environment (95% CI [0.47 to 1.40]), and self-efficacy (95% CI [0.01 to 0.47]). Sleep duration in weekends revealed no associations with the HRQOL subscales, except for the HRQOL subscale psychological well-being (95% CI [0.09 to 0.85]). Mediation analyses revealed that sleep duration in schooldays explained most of the associations (64 - 75%) in 4 out 5 HRQOL subscales, except in the association with the HRQOL subscale physical well-being revealing an indirect effect of 71.9%.

CONCLUSIONS

This cross-sectional study described sleep among Norwegian adolescents and demonstrated that sleep durations in weekends and schooldays impact HRQOL and self-efficacy, revealing overall better outcome in HRQOL and self-efficacy with sufficient sleep during schooldays. These findings support the regularity of sleep and highlight the importance of sufficient sleep during schooldays, especially in a school-based sample of adolescents.

Association between duration of electronic screen use for non-educational purposes and depression symptoms among middle and high school students: a cross-sectional study in Zhejiang Province, China

Background

Existing literature on the association of electronic screen use duration with depression among adolescents is contradictory. The current study aimed to elucidate the association between duration of electronic screen use for non-educational purposes and depression symptoms among middle and high school students in Zhejiang Province, China.

Methods

A cross-sectional study of 27,070 students in grades 7-12 from 376 middle and high schools was conducted through an anonymous self-administered questionnaire between April and June 2022. Poisson regression was utilized to examine the association between electronic screen use duration for non-educational purposes and depression symptoms.

Results

Of the 27,006 eligible students, 51.6% (13932) were boys and the mean (SD) age was 15.6(1.7) years. The overall prevalence of symptoms of depression was 22.4% (95%CI 21.4-23.4); girls (27.6%, 26.2-29.0) had a higher prevalence than boys (17.7%, 16.7-18.8). After adjustment for socio-demographic status, lifestyle factors, self-perceived health, academic performance, loneliness and sadness, compared to those who did not use electronic screens for non-educational purposes, the prevalence ratios (PRs) for depression symptoms were 1.03 (95% CI 1.02-1.04) for those exposed to electronic screens for <1 h/day, 1.07 (1.05-1.09) for 1.0-1.9 h/day, 1.10 (1.07-1.13) for 2.0-2.9 h/day, 1.14 (1.10-1.18) for 3.0-3.9 h/day, 1.18 (1.12-1.23) for 4.0-4.9 h/day, and 1.21 (1.15-1.29) for ≥5 h/day.

Conclusion

Duration of electronic screen use for non-educational purposes was positively associated with symptoms of depression among middle and high school students, even with a relatively short daily duration of use.

Time Use and Cognitive Achievement among Adolescents in China: Depression Symptoms as Mediators

Everyone's time is limited, and there is competition between different aspects of time use; this requires comprehensive consideration of the effects of different aspects of time use on cognitive achievement in adolescents. This study uses a dataset of 11,717 students from a nationally representative large-scale survey project conducted in 2013 to 2014 to clarify the relationship between time use (including working on homework, playing sports, surfing the Internet, watching TV, and sleeping) and cognitive achievement among Chinese adolescents, and explores the mediating role of depression symptoms in the relationship between time use and cognitive achievement. The results of the correlation analysis show that the average daily time spent on homework, playing sports, and sleeping is significantly positively correlated with cognitive achievement (p < 0.01), while time spent surfing the Internet and watching TV are significantly negatively correlated with cognitive achievement (p < 0.01). The results of the mediating effect model show that depression symptoms play a mediating role in the relationship between time use and cognitive achievement among Chinese adolescents. Specifically, time spent playing sports (indirect effect = 0.008, p < 0.001) and sleeping (indirect effect = 0.015, p < 0.001) have a positive effect on cognitive achievement when using depression symptoms as mediators; time spent on homework (indirect effect = -0.004, p < 0.001), surfing the Internet (indirect effect = -0.002, p = 0.046), and watching TV (indirect effect = -0.005, p < 0.001) have a negative effect on cognitive achievement when using depression symptoms as mediators. This study contributes to the understanding of the relationship between time use and cognitive achievement among Chinese adolescents.

Associations Between Multidimensional Sleep Health Parameters and Adolescents' Self-reported Light Exposure in the Free-living Environment

The objective of this study was to characterize the associations between light exposure in the free-living environment and multiple dimensions of sleep health of typically developing adolescents. Fifty-six (29 girls, 27 boys) typically developing adolescents (mean age = 13.59, SD = 0.89, range = 12-17 years) participated. For six consecutive nights, sleep was assessed in the home environment using actigraphy. During the same period, participants were asked to fill out a daily sleep log and a daily light exposure log, and to complete questionnaires regarding their alertness and subjective sleep satisfaction. Longer self-reported exposure to daylight in the morning was associated with longer objectively measured sleep duration. Longer self-reported exposures to electronic devices in the evening were associated with later objectively measured sleep onset and offset times, shorter sleep duration, and greater day-to-day sleep variability. Longer morning exposure to outdoor light was associated with a longer sleep duration. Self-reported light exposure was not associated with sleep satisfaction, alertness/sleepiness, or sleep efficiency. Among the covariates, circadian preference accounted for the highest percentage of variance. Adolescents' sleep health is associated with the self-reported duration of exposure to daylight in the morning and to electronic devices in the evening.

Association between Sexual Violence Victimization and Electronic Vaping Product Use among Adolescents: Findings from a Population-based Study

BACKGROUND

Although studies have investigated the association between sexual violence (SV) victimization and substance use, few studies have examined the association between SV victimization and electronic vaping product (EVP) use among adolescents in the United States. The objective of this study was to examine the cross-sectional association between SV victimization and EVP use among adolescents.

METHODS

Data were pooled from the 2017 and 2019 Youth Risk Behavior Survey. An analytic sample of 28,135 adolescents (51.2% female) was analyzed using binary logistic regression. The outcome variable investigated was EVP use, and the main explanatory variable was SV victimization.

RESULTS

Of the 28,135 adolescents, the prevalence of past 30-day EVP use and SV victimization was 22.7% and 10.8%, respectively. Controlling for other factors, adolescents who experienced SV had 1.52 times higher odds of being EVP users when compared to their counterparts who did not experience SV (AOR = 1.52, p < .001, 95% CI = 1.27-1.82). Other factors associated with EVP use included cyberbullying victimization, symptoms of depression, and current use of cigarettes, alcohol, and marijuana.

CONCLUSIONS

Experiencing SV was associated with EVP use. Future studies that employ longitudinal designs may offer more insight into the mechanisms underlying the association between SV victimization and EVP use. In addition, school-based interventions that focus on sexual violence prevention and reducing substance use among adolescents are warranted.

Prevalence and Determinants of Excessive Screen Viewing Time in Children Aged 3-15 Years and Its Effects on Physical Activity, Sleep, Eye Symptoms and Headache

Screen viewing time is the total time spent by a child on any digital/electronic device. The objective of the present study was to determine the prevalence and predictors of excessive screen viewing time in children in Ujjain, India. This cross-sectional, community-based study was conducted through a house-to-house survey using the three-stage cluster sampling method in 36 urban wards and 36 villages of Ujjain District, India. Excessive screen viewing time was defined as screen viewing for >2 h/day. The prevalence of excessive screen viewing time was 18%. Risk factors identified using the multivariate logistic regression model were age (OR: 1.63, p < 0.001); mobile phone use before bedtime (OR: 3.35, p = 0.004); parents' perception about the child's habituation to screen time (OR: 8.46, p < 0.001); television in the bedroom (OR: 35.91, p < 0.001); morning mobile screen viewing time (OR: 6.40, p < 0.001); not reading books other than textbooks (OR: 6.45, p < 0.001); and lack of outdoor play for >2 h (OR: 5.17, p < 0.001). The presence of eye pain was a protective factor for excessive screen viewing time (OR: 0.13, p = 0.012). This study identified multiple modifiable risk factors for excessive screen viewing time.

A Narrative Review of Screen Time and Wellbeing among Adolescents before and during the COVID-19 Pandemic: Implications for the Future

The COVID-19 pandemic has disrupted the lives of many. In particular, during the height of the pandemic, many experienced lockdowns, which in turn increased screen time drastically. While the pandemic has been declared an endemic and most activities have been reinstated, there appears to still be elevated screen time among adolescents due to poor habits formed during the pandemic lockdowns. This paper explores the factors by which screen time affects well-being among adolescents and how the pandemic may have influenced some of these factors. For example, beyond having greater screen time, many adolescents have also reduced their physical activities and picked up poor sleeping habits. These findings highlight the importance of having integrated activity guidelines that go beyond limiting adolescents' daily screen time. It is important to affirm that beyond ensuring that adolescents limit their daily screen time, they are also meeting physical activity and sleep guidelines so that they achieve a holistic sense of wellbeing.

Extending weeknight sleep of delayed adolescents using weekend morning bright light and evening time management

STUDY OBJECTIVES

Shift sleep onset earlier and extend school-night sleep duration of adolescents.

METHODS

Forty-six adolescents (14.5-17.9 years; 24 females) with habitual short sleep (≤7 h) and late bedtimes (≥23:00) on school nights slept as usual for 2 weeks (baseline). Then, there were three weekends and two sets of five weekdays in between. Circadian phase (Dim Light Melatonin Onset, DLMO) was measured in the laboratory on the first and third weekend. On weekdays, the "Intervention" group gradually advanced school-night bedtime (1 h earlier than baseline during week 1; 2 h earlier than baseline during week 2). Individualized evening time management plans ("Sleep RouTeen") were developed to facilitate earlier bedtimes. On the second weekend, Intervention participants received bright light (~6000 lux; 2.5 h) on both mornings. A control group completed the first and third weekend but not the second. They slept as usual and had no evening time management plan. Weekday sleep onset time and duration were derived from actigraphy.

RESULTS

Dim light melatonin onset (DLMO) advanced more in the Intervention (0.6 ± 0.8 h) compared to the Control (-0.1 ± 0.8 h) group. By week 2, the Intervention group fell asleep 1.5 ± 0.7 h earlier and sleep duration increased by 1.2 ± 0.7 h; sleep did not systematically change in the Control group.

CONCLUSIONS

This multi-pronged circadian-based intervention effectively increased school-night sleep duration for adolescents reporting chronic sleep restriction. Adolescents with early circadian phases may only need a time management plan, whereas those with later phases probably need both time management and morning bright light.

CLINICAL TRIALS

Teen School-Night Sleep Extension: An Intervention Targeting the Circadian System (#NCT04087603): https://clinicaltrials.gov/ct2/show/NCT04087603.

Differential Associations Between Meeting 24-Hour Movement Guidelines With Mental Wellbeing and Mental Illness Among Chinese Adolescents

PURPOSE

Contemporary mental health models simultaneously consider psychological distress and wellness. Researchers have proposed that adhering to the 24-hour movement guidelines (24-HMG) contributes to mental health. 24-HMG integrates recommendations of time distribution among sleep, screen use, and moderate to vigorous physical activity (MVPA). Yet, there are few studies on the relationship between meeting 24-HMG and mental health, especially mental wellbeing. This study aimed to examine the associations between adherence to 24-HMG with mental wellbeing and mental illness among Chinese adolescents.

METHODS

Cross-sectional data of 67,281 Chinese adolescents aged 10-17 years (mean age = 13.0 years, 51.9% males) were collected by sending online questionnaires to local primary and middle schools in Shenzhen in 2021. We used multilevel generalized linear models to analyze associations between meeting 24-HMG with mental wellbeing (subjective wellbeing, resilience, and positive youth development) and mental illness (depression and anxiety).

RESULTS

Only 1.7% of participants met recommendations for all three behaviors (sleep, screen use, and MVPA). Compared with meeting none of the recommendations, participants who met one or more recommendations reported significantly better performance in mental wellbeing (all p < .001); on the contrary, meeting one or more recommendations (except for only meeting the MVPA recommendation) were significantly related to lower severity of mental illness (all p < .001). The relationship between the number of recommendations met with mental well-being and mental illness indicators presented a dose-response pattern (all p < .001).

DISCUSSION

Meeting 24-HMG was associated with superior mental health, including a higher propensity for mental wellbeing and a lower risk of mental illness. The importance of limiting screen time and getting enough sleep should be highlighted in promoting mental health in adolescents.

Association between use of electronic vaping products and insufficient sleep among adolescents: Findings from the 2017 and 2019 YRBS

BACKGROUND AND OBJECTIVE

Although studies have investigated the association between cigarette smoking and sleep outcomes among adolescents in the United States, few studies have examined the association between electronic vaping products (EVPs) use and insufficient sleep among adolescents. The objective of this study was to investigate the cross-sectional association between the use of EVPs and insufficient sleep among adolescents.

METHODS

Data were pooled from the 2017 and 2019 Youth Risk Behavior Survey. An analytic sample of 28,135 adolescents (51.2% female) was analyzed using binary logistic regression. The dependent variable investigated was insufficient sleep, and the main independent variable was the use of EVPs.

RESULTS

Of the 28,135 adolescents, 22.6%, 19.2%, and 58.2% were current, former, and never users of EVPs, respectively. More than three in four adolescents (76.5%) did not obtain the recommended 8 h of sleep on an average school night. Controlling for demographic factors and other covariates, adolescents who currently used EVPs had 1.33 times higher odds of having insufficient sleep (AOR = 1.33, p < .001, 95% CI = 1.16-1.52), and adolescents who previously used EVPs had 1.29 times higher odds of having insufficient sleep (AOR = 1.29, p < .001, 95% CI = 1.15-1.44) when compared to adolescents who had never used EVPs. Adolescents were more likely to get insufficient sleep if they were older, non-Hispanic Black, had symptoms of depression, experienced suicidal ideation, engaged in excessive screen-time behaviors, or currently used alcohol. Physical activity had a protective effect on insufficient sleep.

CONCLUSION

This study found that EVPs use was associated with insufficient sleep among adolescents over and above demographic and other covariates. As EVP use increases among adolescents, it is important to consider the potential impact on multiple domains, including sleep. Future studies that employ longitudinal designs may offer additional insight into the mechanisms underlying the association between EVPs use and insufficient sleep.

Associations between adolescent sleep difficulties and active versus passive screen time across 38 countries

BACKGROUND

High screen use has been adversely linked with mental wellbeing; however, little is known about how active versus passive screen time are associated with sleep-onset difficulties among adolescents.

METHODS

We analysed data from 38 European and North American countries that participated in the 2014 Health Behaviour in School-aged Children (HBSC) survey. Difficulties in falling sleep were assessed using a self-reported item with a 5-point Likert scale, and then dichotomised. Participants reported h/day of discretional time spent watching television, electronic gaming, and computer use.

RESULTS

Of the 195,668 participants (M_age 13.59 [1.62] years; 51 % girls), about 25 % of girls reported sleep-onset difficulties, while the rate was 18 % in boys. Adolescents who played electronic games >4 h/day (≤1 h/day as reference) had 30 % higher odds in boys (OR 1.30; 95 % CI: 1.23-1.38) and 38 % higher odds in girls (OR 1.38; 95 % CI: 1.31-1.45) of reporting sleep difficulties. High computer use (>4 h/day) increased the odds of sleep difficulties by 41 % in boys (OR 1.41, 95 % CI: 1.33-1.49) and 61 % in girls (OR 1.61, 95 % CI: 1.53-1.69). Similarly, high television time (>4 h/day) had increased the odds of sleep difficulties by 15 % in boys (OR 1.15, 95 % CI: 1.08-1.22) and 19 % in girls (OR 1.19, 95 % CI: 1.12-1.25).

LIMITATIONS

Cross-sectional analyses cannot establish causality of the associations.

CONCLUSIONS

Higher levels of recreational screen use of any type were associated with sleep-onset difficulties among adolescents with adverse effects being more prevalent in active than passive screen time. Prospective research with objective measures is warranted to understand causality of these relationships.

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.

Do both timing and duration of screen use affect sleep patterns in adolescents?

BACKGROUND

Sleep duration has declined in adolescents over the last 30 years and screen use has been identified as a risk factor. Studies have examined the duration of screen use and screen-based activities but have not differentiated between evening and night-time use.

METHODS

Cross sectional questionnaire survey of adolescents recruited in schools. Sleep habits on school nights and weekends, symptoms of insomnia and daytime repercussions were recorded using an online questionnaire administered in the classroom setting. Sleep deprivation (<7 hours in bed /night), school night sleep restriction (≥2 hours difference in sleep duration on school nights vs weekends), excessive sleepiness (score >6 on a visual analogue scale), duration of screen use and timing of screen use (evening vs after bedtime) were determined.

RESULTS

2513 students (53.4% female, median age 15 years) were included. 20% were sleep deprived and 41% sleep restricted. A clear dose effect relationship in a model controlling for age, sex, school level and sociodemographic class was seen with all levels of night-time screen use on sleep deprivation and sleep restriction (>2 hours use sleep deprivation OR 5.23[3.03-9.00]. sleep restriction OR 2.05[1.23-3.42]) and > 2 hours evening use (>2 hours use sleep deprivation OR 2.72[2.15-3.44] sleep restriction OR 1.69[1.36-2.11]) but not moderate evening use. All night-time use and > 2 hours evening use increased the risk of insomnia, non refreshing sleep, and affected daytime function (daytime sleepiness, lack of energy and irritability).

CONCLUSIONS

Both duration of screen use and timing are associated with adverse effects on sleep and daytime functioning in adolescents. More than 2 hours evening use and all night-time use should be avoided.

The association of smartphone screen time with sleep problems among adolescents and young adults: cross-sectional findings from India

Background

Although sleep problem is a growing public health issue with the advancement of technology, especially among adolescents and young adults, it received little attention. The study aimed to examine the association of screen time on smartphone with sleep problems among adolescents and young-adults in India.

Methods

We used data from the “Understanding the lives of adolescents and young-adults” (UDAYA, 2018). The effective sample size for the study was 16,292 adolescents and young adults (males-4428 and females-11,864). Descriptive statistics and bivariate analysis with percentages and chi-square test were used to report the preliminary results. Multivariable logistic regression analysis was conducted to examine the association between smartphone screen time and sleep problems, separately for adolescents and young adults.

Results

Nearly 15.6% of males and 23.5% of females had sleep problems in their adolescence in the last 15 days, while these percentage were high among young-adults (18.4% males and 33.24% females). Adolescents [AOR: 1.55; CI: 1.21-1.99] and young adults [AOR: 1.48; CI: 1.24-1.75], who spent more than 2 h on smartphone had higher odds of reporting sleep problems than those who did not use smartphone in the last 24 hours. Adolescent females who used smartphone for less or equal to 2 h and three or more hours respectively, had 2.11 [AOR: 2.11; CI: 1.63-2.73] and 2.94 times [AOR: 2.94; CI: 1.97-4.38] higher odds of reporting sleep problems than adolescent males who did not use smartphones. Additionally, among the young adult females, the odds of sleep problems were 1.66 times [AOR: 1.66; CI: 1.55-2.38] and 2.36 times [AOR: 2.36; CI: 1.59-3.51] greater than the non-users young adult males.

Conclusion

The increased time spent on mobile phones’s screen among adolescents and young-adults, particularly in females is associated with a higher likelihood of reporting sleeping problems. The current findings have important implications for adolescence and young-adults’ mental health programmes. The findings can also be used to further inform how different strategies need to be developed for better sleep outcome during adolescence and young-adults.

Trajectories, Risk Factors, and Impact of Persistent Pain After Major Musculoskeletal Surgery in Adolescents: A Replication Study

Studies have identified high rates of chronic postsurgical pain in adolescents. Characterizing patterns of pain in the transition from acute to chronic following major surgery may pinpoint critical periods of recovery. This observational study modelled pain trajectories over 1-year following surgery to attempt replication of prior work and evaluate baseline psychosocial factors and 12-month health outcomes. Adolescents 10 to 18 years completed electronic daily pain reporting for 7 days and self-reported health outcomes, at 5 assessment timepoints. Group-based trajectory modelling identified two trajectories with similar starting points in-hospital but distinct recovery courses at home. Pain declined steadily in one group across the study period ("Declining Pain"; estimated probability,18.9%), but pain increased after hospital discharge and remained high through 12-months in the other group ("High and Persistent Pain"; estimated probability,81.1%). Pre-surgery pain (Aor = 1.86, P = .001) and sleep quality (Aor = 0.49, P = .029) were associated with the High and Persistent pain trajectory in multivariate regressions. This trajectory was associated with lower total quality of life (B=-9.79, P = .002), physical health (B = -15.93, P < .001), psychosocial health (B = -6.73, P = .06), and greater fatigue (B = -13.61, P = .001). This study replicated prior findings identifying two post-surgical pain trajectories with diverging pain in the first two weeks. Clinical detection of those with increasing pain and early intervention may interrupt persistence of pain. PERSPECTIVE: This article replicates a prior study identifying distinct post-surgical pain trajectories, Declining Pain and High and Persistent Pain. The High and Persistent pain trajectory is associated with pre-surgery pain, pre-surgery sleep quality, and lower quality of life (total, physical, and psychosocial health as well as fatigue) at 12-month follow-up.

Sports- and physical activity-related concussion and mental health among adolescents: Findings from the 2017 and 2019 Youth Risk Behavior Survey

This study examined the association between self-reported sports- or physical activity-related concussion and symptoms of depression and suicidal behaviors (suicidal ideation, having a suicide plan, and suicide attempts). This study used data from the 2017 and 2019 Youth Risk Behavior Survey (YRBS), a biennial, school-based, nationally representative survey of U.S. students in grade levels 9 to 12 (N = 14,496). Multivariate logistical regression models assessed the association between self-reported sports-or physical activity-related concussions and suicidal behaviors among students, controlling for a range of demographic and psychosocial variables. Altogether, 13.6% of students reported a sports-or physical activity related concussion in the past 12 months. Among youth, sports-or physical activity related concussions were significantly associated with greater odds of symptoms of depression, suicidal ideation, making a suicide plan, and suicide attempts compared to other youth who did not experience sports- or physical activity-related concussion. Findings highlight increased risk for adverse mental health outcomes among students with sports-or physical activity related concussions. Providing resources for students to engage in physical activity and sports teams may help prevent the onset of depression and suicidal behaviors; however, resources must also be available to monitor any concussions related to these activities to provide support for student emotional well-being.

Network Analysis of Time Use and Depressive Symptoms Among Emerging Adults: Findings From the Guizhou Population Health Cohort Study

Background

To date, the relationship between diverse time use behaviors and depression status among emerging adults have not been disentangled in the literature. Therefore, if and how the time displacement mechanism activates depressive symptoms among emerging adults remains unclear.

Methods

To fill this gap in the literature, we employed a network analysis to make estimations. The emerging adult sample (N = 1,811) was collected by the Guizhou Population Health Cohort Study. Time use behaviors were measured by an adaption of the self-administered International Physical Activity Questionnaire, and depressive symptoms were assessed using the 9-item Patient Health Questionnaire (PHQ-9).

Results

The results revealed that the time displacement mechanism of emerging adults differed from that of adolescents. Sleep duration was not crowded out by other activities, while the time spent on computer use was found to be negatively related to time spent on heavy work activities. Moreover, computer use behavior triggered three depressive symptoms ("Anhedonia," "Guilt," and "Motor"), but inhibited "Suicide." The results of the directed acyclic graph revealed that females and heavy drinkers were at risk of depression.

Limitations

The study sample was confined to only one province, which may limit its generalizability. The cross-sectional design impeded the ability to draw causal inferences.

Conclusion

Our results enhance the current understanding of the internal mechanism of how time use behaviors influence depressive symptoms among emerging adults.

Psychometric Properties of the Stress and Anxiety to Viral Epidemics-6 Items (SAVE-6) Scale for High School Students During the COVID-19 Pandemic

OBJECTIVES

Owing to the COVID-19 pandemic, high school students have experienced a sudden change of school environment, which may result in difficulties related to mental health. The aim of this study is to estimate the reliability and validity of the Stress and Anxiety to Viral Epidemics-6 Items (SAVE-6) scale among high school students.

METHODS

A cross-sectional online survey was conducted among 300 high school students. The following scales were administered: the SAVE-6, Generalized Anxiety Disorder-7 Items (GAD-7), and Patient Health Questionnaire-9 Items (PHQ-9). Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were conducted, and the psychometric properties of the SAVE-6 were assessed.

RESULTS

The results of the CFA indicated good model fit for the SAVE-6 scale among high school students (χ2/df = 0.485, CFI = 1.000, TLI = 1.010, RMSEA < 0.001, and SRMR = 0.029). In addition, the SAVE-6 scale demonstrated good reliability (Cronbach's alpha = 0.844, McDonald's Omega = 0.848, and split-half reliability = 0.883). The appropriate cut-off score for the SAVE-6 scale was estimated as ≥15, which corresponds to a mild level of anxiety as assessed by the GAD-7 (≥5).

CONCLUSION

The SAVE-6 scale was found to be reliable and valid, and can be used as a tool to assess the stress and anxiety of high school students during the COVID-19 pandemic.

Sports- and Physical Activity-Related Concussions, Binge Drinking and Marijuana Use among Adolescents: The Mediating Role of Depression and Suicidal Ideation

BACKGROUND

Although past studies have examined the adverse impact of sports- and physical activity-related concussions (SPACs) on health and mental health outcomes, there is a dearth of research investigating the association between SPACs and binge drinking and marijuana use.

OBJECTIVE

The objective of this study is to examine the cross-sectional association between SPACs and binge drinking and marijuana use among adolescents and whether symptoms of depression and suicidal ideation mediate this association.

METHODS

Data for this study came from the 2017 and 2019 National Youth Risk Behavior Survey. An analytic sample of 17,175 adolescents aged 14-18 years (50.2% male) was analyzed using binary logistic regression.

RESULTS

Of the 17,175 adolescents, 13.7% engaged in binge drinking and 19.3% used marijuana 30 days preceding the survey date. Approximately one in seven (14.1%) adolescents had SPACs during the past year. Upon controlling for the effects of other factors, adolescents who had SPACs had 1.74 times higher odds of engaging in binge drinking (AOR = 1.74, p<.001, 95% CI = 1.47-2.06) and 1.42 times higher odds of using marijuana (AOR = 1.42, p<.001, 95% CI = 1.24-1.62) than those who did not have SPACs. Symptoms of depression and suicidal ideation explained 12% of the association between SPACs and binge drinking, and 19% of the association between SPACs and marijuana use.

CONCLUSIONS

Understanding the association between SPACs and substance use and mental health could contribute to early identification of adolescents who may engage in substance use.

Association Between the Patterns of Five Unhealthy Behaviors and Suicidal Behaviors Among Adolescents in Six Provinces of China

BACKGROUND

In adolescents, multiple unhealthy behaviors frequently occur together and are likely to be associated with suicidal behaviors (SBs), increasing the risk of suicide. This study aimed to clarify the potential patterns of unhealthy behaviors in Chinese adolescents and to examine the associations between the different patterns of unhealthy behaviors and SBs.

METHODS

A total of 22,628 middle school students were enrolled in this study. Self-reported unhealthy behaviors and SBs were investigated using questionnaires. Latent class analysis (LCA) was performed based on five unhealthy behaviors [smoking, alcohol use (AU), diet pill use (DPU), screen time (ST), and problematic mobile phone use (PMPU)]. Multivariate logistic regressions were used to examine associations between the different patterns of unhealthy behaviors and SBs.

RESULTS

Four subgroups of unhealthy behaviors were identified by LCA, including high-risk class (smoking/AU/DPU/PMPU/ST), moderate-risk class 1 (DPU/PMPU), moderate-risk class 2 (smoking/AU/ST), and low-risk class. Compared with the low-risk class, moderate-risk class 1, moderate-risk class 2, and high-risk class had higher risks of suicidal ideation, suicide plan, and suicide attempt.

CONCLUSIONS

These findings suggested that patterns of unhealthy behaviors were related to SBs in Chinese adolescents. Accordingly, considerations of different classes of unhealthy behaviors may be essential for developing effective preventive programs.

Individual and Collective Positive Health Behaviors and Academic Achievement Among U.S. High School Students, Youth Risk Behavior Survey 2017

PURPOSE

We examined associations between academic grades and positive health behaviors, individually and collectively, among U.S. high school students.

DESIGN

Cross-sectional study design.

SETTING

Data were from the 2017 national Youth Risk Behavior Survey. Response rates were 75% for schools, 81% for students, and 60% overall (n = 14,765 students).

SUBJECTS

Youth in grades 9th-12th.

MEASURES

We focused on youth behaviors that can prevent or delay the onset of chronic health conditions. Seven dietary, 3 physical activity, 2 sedentary screen time, and 4 tobacco product use behaviors were assessed. Variables were dichotomized (0/1) to indicate that a score was given to the positive health behavior response (e.g.,, did not smoke cigarettes = 1). A composite score was created by summing each positive health behavior response among 16 total health behaviors.

ANALYSIS

Multivariable logistic regression analyses for each individual health behavior, and a multivariable negative binomial regression for the composite score, were conducted with self-reported academic grades, controlling for sex, grade in school, race/ethnicity, and body mass index (BMI) categories.

RESULTS

Controlling for covariates, students who reported mostly A's had 2.0 (P < .001) more positive health behaviors; students who reported mostly B's had 1.3 (P < .001) more positive health behaviors; and students who reported mostly C's had .78 (P < .001) more positive health behaviors, compared to students who reported mostly D's/F's.

CONCLUSIONS

Higher academic grades are associated with more positive individual and cumulative health behaviors among high school students. Understanding these relationships can help inform efforts to create a healthy and supportive school environment and strive for health equity.

Associations between insufficient sleep and prescription opioid misuse among high school students in the United States

STUDY OBJECTIVES

The aim of this study was to estimate the association between insufficient sleep and prescription opioid misuse among US high school students.

METHODS

Participants were 6,884 high school students who self-reported on sleep duration and prescription opioid misuse in the 2019 Youth Risk Behavior Survey. Sleep duration was categorized by the Youth Risk Behavior Survey according to the American Academy of Sleep Medicine guidelines as follows: recommended sleep duration (8-9 hours) vs insufficient sleep (< 8 hours). Participants also reported whether they had any prescription opioid misuse during their lifetime and whether they had prescription opioid misuse within the past 30 days.

RESULTS

Most (79.4%) participants reported sleeping less than 8 hours per night. Among all youth, 12.9% reported lifetime prescription opioid misuse and 6.2% reported current prescription opioid misuse. Prevalence of both lifetime and current opioid medication misuse was higher among those also reporting insufficient sleep compared to those reporting recommended sleep duration (14.3% vs 7.7%, P < .0001 for lifetime misuse and 6.6% vs 4.3%, P = .0091 for current misuse). In multivariate models, insufficient sleep was associated with an increased odds of lifetime prescription opioid misuse (adjusted odds ratios = 1.4; 95% confidence interval, 1.1-1.2; P = .006); however, we did not find an association between sleep duration and current prescription opioid misuse in multivariate analysis.

CONCLUSIONS

Sleep duration is associated with lifetime opioid misuse among US youth. Longitudinal studies are needed to test whether causal relationships exist, and to understand biobehavioral mechanisms that underlie associations between sleep deficiency and opioid misuse in adolescents.

CITATION

Groenewald CB, Rabbitts JA, Tham SW, Law EF, Palermo TM. Associations between insufficient sleep and prescription opioid misuse among high school students in the United States. J Clin Sleep Med. 2021;17(11):2205-2214.

Nonlinear relationship between sleep duration and non-suicidal self-injurious behaviour among Chinese adolescents

BACKGROUND

Previous studies have shown a positive association between sleep deprivation and non-suicidal self-injury (NSSI) among adolescents, but few studies have described the effects of oversleeping and weekend catch-up sleep on NSSI. The present study aimed to explore the nonlinear relationship between sleep duration and NSSI among Chinese adolescents.

METHODS

Data from China's National Adolescent Health Surveillance for the years 2014 to 2015 were collected from 15,713 students located across four provinces in China. A self-report questionnaire was used to assess sleep duration and 12-month NSSI. Binomial logistic regression models were used to examine the association between NSSI and sleep duration. The locally estimated scatter plot smoothing (LOESS) method was used to explore the associations of total NSSI number with sleep duration, and binomial regression analysis was used to test this relationship.

RESULTS

About 68.5% of adolescents reported sleeping less than 8 h on weeknights, while 37.8% of adolescents slept more than 10 h per night during weekends. The 12-month prevalence rate of NSSI was 29.4%. Compared to adolescents who reported weekend catch-up sleep of 0-1 h, those who slept < 0 h (adjusted odds ratio [aOR] = 1.38, 95% Confidence Interval [95% CI]: 1.16-1.64) had a higher risk of NSSI. Males who reported ≥3 h of weekend catch-up sleep had significantly increased odds of NSSI (aOR = 1.20, 95%CI: 1.01-1.42). Notably, a positive U-shaped association was observed between the sleep duration and the total NSSI number.

CONCLUSIONS

The findings reveal a nonlinear relationship between sleep duration and NSSI among Chinese adolescents. Therefore, it is necessary to be vigilant and screen for sleep duration among adolescents in NSSI treatment or prevention.

Use of smartphones, mobile apps and wearables for health promotion by people with anxiety or depression: An analysis of a nationally representative survey data

People with mental illness have increased cardiovascular risk factors, which contributes significantly to mortality in this population. Digital interventions have emerged as promising models to promote physical health, although their potential for use in mental health populations is relatively unexplored. We examined the potential for using digital tools for health promotion by people with common mental disorders like anxiety or depression. Using data from the 2019 edition of the Health Information National Trends Survey (HINTS 5), we evaluated differences between individuals with self-reported history of diagnosed depression/anxiety and the general population with respect to ownership, usage, and perceived usefulness of digital tools for managing their health. Overall, individuals with anxiety or depression were as likely as the general population to use digital devices for their care. Those with anxiety or depression who had health apps were more likely to report intentions to lose weight than those without health apps. Significant sociodemographic predictors of digital tools usage included gender, age, income, and education level. People with anxiety or depression own and use digital health tools at similarly high rates to the general population, suggesting that these tools present a novel opportunity for health promotion among people with these disorders.

School time is associated with cardiorespiratory fitness in adolescents: The HELENA study

We assessed the association between school time and physical fitness in adolescents. The study included 2,024 adolescents, aged 12.5-17.5 years, who participated in the Healthy Lifestyle in Europe by Nutrition in Adolescence study. Health-related physical fitness components were assessed using the physical fitness tests battery. Cardiovascular risk was categorized using the sex-specific cut-offs for a healthy cardiorespiratory fitness level in adolescents proposed by FitnessGram®. School time was classified as short or long. Multivariate analysis accounted for confounding factors such age, sex, body mass index, time spent in moderate to vigorous physical activity, pubertal status, and parents' educational level. Cardiorespiratory fitness was higher in adolescents with a long school time than in those with a short school time (42.0 ± 7.6 vs 40.7 ± 7.2 mL.kg^-1.min^-1, respectively; p < 0.05). The percentage of adolescents at cardiovascular risk in adulthood was higher in the short than in the long time group (45.2% vs 31.7%, respectively) (p < 0.05). These findings suggest that a long school day is associated with higher cardiorespiratory fitness in adolescents and that school time should be considered in interventions and health promotion strategies.

Body Weight Perception and Health-Related Behaviors Among U.S. Adolescents: Mediating Effects of Body Weight Control Behaviors

This study examined mediating effects of body weight control behaviors in the relationship between body weight perception and health-related behaviors among 11,458 U.S. adolescents from the 2010 National Youth Physical Activity and Nutrition Survey. Parallel multiple mediation analysis was performed for the secondary data analysis. Nearly one third of adolescents (32.5%) had overweight or obesity; one quarter (25.0%) perceived themselves as slightly overweight and 5.1% thought they were very overweight. More girls (58.6%) had tried to lose weight than boys (32.3%), while boys were more physically active than girls. Healthy and unhealthy weight control behaviors significantly mediated the relationship between adolescents' body weight perception and health-related behaviors (physical activity and screen time). Teachers and parents should help adolescents have accurate weight perception and utilize reliable and healthy weight control strategies. Future studies should consider the intercorrelated relationships among adolescents' perceptions and behaviors regarding weight to provide successful weight control intervention programs.

Does the Effect of Internet Use on Chinese Citizens' Psychological Well-Being Differ Based on Their Hukou Category?

This paper draws support from the 2018 wave of the China Family Panel Studies (CFPS 2018) and uses unconditional quantile regression, re-centered influence function (RIF) decomposition, linear structural equation modelling, extended regression modelling and censored regression to explore the heterogeneity of the impact of Internet use on the psychological well-being of Chinese non-agricultural and agricultural hukou holders. We find that Internet use better improves the psychological well-being of non-agricultural hukou holders, thereby widening the gap in psychological well-being between urban and rural residents in China. Through RIF decomposition, we observe that, except for the 10th quantile, the expansion effect of Internet use on the inequality in psychological well-being between agricultural and non-agricultural hukou holders is mainly reflected in the structure effect, which shows that compared to non-agricultural hukou holders, the return rate of Internet use on the psychological well-being of agricultural hukou holders is lower. Further mechanism analysis shows that using the Internet to socialize, obtain information and understand politics is more beneficial for the psychological well-being of non-agricultural hukou holders; moreover, Internet use can further exert different effects on the psychological well-being of the two groups by differently influencing their job satisfaction, government evaluation, and sleep quality. This study also confirms that relying only on external scientific and technological progress has a limited corrective effect on existing inequalities.

Investigating the association between bullying victimization and suicidal ideation among adolescents: Evidence from the 2017 Youth Risk Behavior Survey

BACKGROUND

Suicide among adolescents in the United States is the second leading cause of death. Bullying victimization has also been identified as a growing public health concern. Although studies have examined the association between bullying victimization and mental health outcomes, there is a dearth of research investigating the association between bullying victimization and suicidal ideation among adolescents.

OBJECTIVE

The objective of this study is to investigate the association between bullying victimization and suicidal ideation among adolescents.

PARTICIPANTS AND SETTING

Data for this study came from the 2017 National Youth Risk Behavior Survey.

METHODS

An analytic sample of 14,603 adolescents aged 14-18 years (52 % female) was analyzed using binary logistic regression.

RESULTS

About 18 % of adolescents experienced suicidal ideation during the past 12 months. About one in ten adolescents (9.1 %) were victims of both school bullying and cyberbullying. Bullying victimization was associated with suicidal ideation whereby, adolescents who experienced both school bullying and cyberbullying victimization had 3.26 times higher odds of experiencing suicidal ideation (AOR = 3.26, p < .001, 95 % CI=3.10-3.43), adolescents who experienced school bullying victimization had 2.15 times higher odds of experiencing suicidal ideation (AOR = 2.15, p < .001, 95 % CI=2.04-2.27), and adolescents who experienced cyberbullying victimization had twice the odds of experiencing suicidal ideation (AOR = 2.00, p < .001, 95 % CI=1.87-2.14). Other factors significantly associated with suicidal ideation include forced sexual intercourse, depressive symptoms, cigarette smoking, alcohol use, cannabis use, and illicit drug use.

CONCLUSION

Understanding the association between bullying victimization and suicidal ideation could contribute to early identification of adolescents who may be at risk for suicide.

Physical Disorders are Associated with Health Risk Behaviors in Chinese Adolescents: A Latent Class Analysis

It is known that health risk behaviors (HRBs) can lead to a variety of physical and mental health problems among adolescents, but few studies have paid attention to the relationship between latent classes of HRBs and adolescent diseases. The purpose of this study was to use latent class analysis (LCA) to clarify the potential subgroups of HRBs (smoking, drinking, screen time, non-suicidal self-injuries, suicidal behaviors, and unintentional injuries) and examine the association between the subgroups of HRBs and physical disorders (diarrhea, fever, cough, and vomiting) with multiple logistic regression analysis, in Chinese adolescents. Self-reported HRBs and physical disorders were used to evaluate 22,628 middle school students in six cities of China, from November 2015 to January 2016, based on a multistage stratified cluster sampling approach. The prevalence of diarrhea, fever, cough, and vomiting was 23.5%, 15.9%, 50.6%, and 10.7%, respectively. We identified four latent classes of HRBs by LCA, including low-risk class, moderate-risk class 1 (smoking, drinking, and screen time), moderate-risk class 2 (non-suicidal self-injuries and suicidal behaviors, unintentional injuries), and high-risk class (smoking, drinking, screen time, non-suicidal self-injuries, suicidal behaviors, and unintentional injuries), which were 64.0%, 4.5%, 28.8% and 2.7% of participants, respectively. Compared to the low-risk class, all other classes showed higher risk for these physical disorders (P < 0.01 for each). In particular, the high-risk class had the highest risk (diarrhea (odds ratio (OR) = 2.628, 95% confidence interval (CI) 2.219 to 3.113), fever (OR = 3.103, 95% CI 2.591 to 3.717), cough (OR = 2.142, 95% CI 1.805 to 2.541), and vomiting (OR = 3.738, 95% CI 3.081 to 4.536). In conclusion, these results indicated that heterogeneity exists in HRBs, and subgroups of HRBs were correlated to the occurrence of common physical disorders in Chinese adolescents. Therefore, multiple HRBs rather than single factors should be considered for the prevention of common physical disorders in schools.