Digital screen time and suicidality during high school: How important is cyberbullying? A mediation analysis using the youth risk behavioral surveillance survey, 2011-2019

Pediatric suicide: Review of a preventable tragedy

Concepts of suicide are explored in this issue with a focus on suicide in children and adolescents. The epidemiology of pediatric suicide in the United States is reviewed; also, risk and protective factors, as well as prevention strategies, are discussed. Suicide in the pediatric athlete and the potential protective effect of exercise are examined. In addition, this analysis addresses the beneficial role of psychological management as well as current research on pharmacologic treatment and brain stimulation procedures as part of comprehensive pediatric suicide prevention. Though death by suicide in pediatric persons has been and remains a tragic phenomenon, there is much that clinicians, other healthcare professionals, and society itself can accomplish in the prevention of pediatric suicide as well as the management of suicidality in our children and adolescents.

Sex Differences in the Associations of mental Health, Suicidality, Screentime, and Sleep: A Mediation Effect Analysis of Sleep Using Youth Risk Behavioral Surveillance Survey 2021

Objective: This study was conducted to explore the sex differences in the direct and indirect associations among mental health/suicidality, sleep, and screen time. Methods: Using the 2021 Youth Risk Behavior Survey (YRBS) data, 9408 participants were included in the analyses. The associations of endogenous variables (mental health and suicidality), exogenous variable (screen time), mediator (sleep), and covariates (demographic features and risky behaviors) were analyzed using the Structural Equation Model and "medsem" package, as well as logistic regression and bootstrapping methods. To explore the sex differences in the mediation effect, the Likelihood Ratio Test was used for the multiple-group analysis to compare the unconstrained model with the mediation path-constrained model. Results: Screen time had a significant negative association with sleep duration (female: β = -.09, p < .001; male: β = -.04, p < .001), positive relations to mental health problems (female: β = .10, p < .001; male: β = .12; p < .001), and suicidality (female: OR: 1.07, 95% CI: 1.02-1.13; male: OR: 1.06, 95% CI: 1.01-1.23). Sleep duration is negatively associated with mental health problems (female: β = -.16, p < .001; male: β = -.14; p < .001) and negatively associated with the likelihood of suicidality (female: .89, 95% CI: .85-.94; male: OR: .84, 95% CI: .79-.90). Furthermore, female adolescents had higher frequencies in mental health problems, higher odds ratio in suicidality, shorter sleep duration, and bigger mediation effects of sleep, compared to their male counterparts. Conclusion: Mental health and suicidality were affected differently by screen time and sleep between female and male adolescents. Future research may continue to explore sex differences and their underlying reasons.

Screen exposure, mental health and emotional well-being in the adolescent population: is it time for governments to take action

During the last decade, a multitude of epidemiological studies with different designs have been published assessing the association between the use of digital media and psychological well-being, including the incidence of mental disorders and suicidal behaviours. Particularly, available research has very often focused on smartphone use in teenagers, with highly addictive potential, coining the term 'problematic smartphone use' and developing specific scales to measure the addictive or problematic use of smartphones. Available studies, despite some methodological limitations and gaps in knowledge, suggest that higher screen time is associated with impaired psychological well-being, lower self-esteem, higher levels of body dissatisfaction, higher incidence of eating disorders, poorer sleeping outcomes and higher odds of depressive symptoms in adolescents. Moreover, a significant association has also been found between screen time and higher suicide risk. Finally, problematic pornography has been shown to be highly prevalent and it is a strong cause of concern to many public health departments and national governments because it might be eventually associated with aggressive sexual behaviours.

Exploring suicide ideation in university students: sleep quality, social media, self-esteem, and barriers to seeking psychological help

The purpose of the current study is to analyze how variations in suicidal ideation scores can relate to sleep quality, social media consumption, self-esteem, and perceived barriers to seeking psychological help in a sample of university students in Honduras. A quantitative cross-sectional design was used. Self-reported data was collected from a non-random sample of 910 university students in Honduras; their average age was 24.03 years (SD=6.05). Most respondents were women (67%) with men accounting for 33% of the sample. Measurements included item 9 of the Patient Health Questionnaire-9, the Single-Item Sleep Quality Scale, Rosenberg's Self-Esteem Scale, Barriers to Seeking Psychological Help Scale for College Students, and a self-reported questionnaire on social media. In response to the query, "Over the past two weeks, how frequently have you experienced thoughts that you would be better off dead or of hurting yourself?" 54% (n=495) of participants indicated "not at all" 18% (n=168) reported "several days" 14% (n=129) responded "more than half of the days" and 13% (n=118) stated "nearly every day". The results from the ordinal logistic regression model indicate that sleep quality and self-esteem serve as protective factors associated with decreased suicide ideation. At the same time, a higher number of social media platforms used per week and perceived barriers to seeking psychological help increase suicide ideation. Altogether, these variables explained 19% of the variance in suicidal ideation scores. Suicidal ideation is highly prevalent among the sampled university students.

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.

National Trends in the Prevalence of Screen Time and Its Association With Biopsychosocial Risk Factors Among Korean Adolescents, 2008-2021

PURPOSE

Prior studies suggested an increase in screen time among adolescents during the COVID-19 pandemic; however, due to limited sample size and a short-term observation period, these associations are inconclusive and inconsistent. Thus, we aimed to compare screen time during the pandemic and the long-term trend through a Korean large-scale and long-term study of one million adolescents.

METHODS

Data from 2008 to 2021 on 913,191 Korean adolescents aged 12-18 years were obtained via a nationwide, large-scale, and serial study. We investigated the change of screen time use over time and the change in trend before and during the pandemic (2008-2019 vs. 2020-2021) by using weighted linear regression model with estimates of β-coefficients and 95% confidence intervals (CIs). Moreover, we analyzed the differences in vulnerability of biopsychosocial factor before and during the pandemic.

RESULTS

A total of 913,191 adolescents were included in this analysis. During the pandemic, the overall screen time of Korean adolescents significantly increased compared to the expected based on the prepandemic period during the pre-COVID-19 period (weighted screen time before the pandemic [133.24 min/day; 95% CI, 132.08-134.40] vs. during the pandemic [303.66 min/day; 95% CI, 300.59-306.73]; βdiff 0.331; 95% CI, 0.311-0.351). Comparing before and during the pandemic, potential risk factors associated with screen exposure included female sex, sadness, suicidal thoughts, alcohol consumption, low educational level of parents, low level of vigorous physical activity, middle school students, and low household income.

DISCUSSION

Through large-scale nationwide study, this study described the 14-year trend of screen time among Korean adolescents. In the era of COVID-19, the prevalence of screen exposure has been increasing more rapidly than before at the population level. Also, the pandemic amplified the differences in screen time across grade, sex, sadness, suicidal thoughts, smoking, alcohol consumption, education level of parents, physical activity, and household income groups.

New Wine in an Old Bottle? Exposure to Bullying-Related Media and Bullying Perpetration Behavior in Daily Life Among Adolescents

Although the effect of media violence on aggression has garnered major attention, little is known about the link between bullying-related media exposure and bullying behaviors. Across three studies, we examined this association among Chinese adolescents. Study 1 used a large sample of adolescents (n=10,391, 51.4% boys) to investigate the link between bullying-related media exposure and bullying perpetration. Using another adolescent sample (n=3,125, 49.5% boys), Study 2 replicated the findings from Study 1 and extended the investigation from traditional bullying to cyberbullying perpetration. Study 3 examined the longitudinal associations between bullying-related media exposure and (cyber)bullying perpetration 6 months later (n = 2,744, 47.0% boys). The results suggested a positive, albeit small, association between exposure to bullying-related media and (cyber)bullying perpetration. Importantly, personal anti-bullying attitudes moderated this link, with a significant association observed among adolescents holding weak anti-bullying attitudes. Findings are discussed with respect to the media's effect on bullying behaviors.

Identifying disparities in suicidal thoughts and behaviors among US adolescents during the COVID-19 pandemic

BACKGROUND

Suicidal thoughts and behaviors (STBs) became more common among racial and ethnic minorities and sexual and gender minorities (SGM) during the COVID-19 pandemic relative to White and non-SGM adolescents. This study examines associations between pandemic-related stressors and STBs among a nationally representative sample of adolescents to identify vulnerable subpopulations.

METHODS

We analyzed data from 6769 high school students using the 2021 Adolescent Behaviors and Experiences Survey. Pandemic-related stressors were assessed via seven items related to negative experiences (e.g., parent job loss; food insecurity) during the COVID-19 pandemic. Logistic regression analyses estimated the association between pandemic-related stressors and four outcomes: (1) sadness/hopelessness; (2) suicidal ideation; (3) suicide planning; and (4) recent suicide attempt (i.e., past 12 months). Interactions were modeled by sex, race/ethnicity, and sexual identity.

RESULTS

A greater number of pandemic-related stressors was associated with higher odds for sadness and hopelessness (aOR: 1.55; 95% CI:1.44-1.67), suicidal ideation (aOR: 1.48; 95% CI:1.39-1.57), suicide planning (aOR:1.47; 95% CI: 1.36-1.59), and recent suicide attempt (aOR: 1.64; 95% CI:1.42-1.88). Pandemic-related stressors were also more strongly associated with some types of STBs in males (relative to females) and SGM females (relative to heterosexual females).

CONCLUSION

Study findings indicate that pandemic-related stressors are associated with STBs within the US adolescent population, particularly among male and SGM female adolescents. Researchers are encouraged to use this knowledge to ensure nationwide suicide prevention efforts adequately address inequities in suicide risk.