Fear of missing out and sleep: Cognitive behavioural factors in adolescents' nighttime social media use

Electronic Media Use and Sleep Quality: Updated Systematic Review and Meta-Analysis

BACKGROUND

This paper explores the widely discussed relationship between electronic media use and sleep quality, indicating negative effects due to various factors. However, existing meta-analyses on the topic have some limitations.

OBJECTIVE

The study aims to analyze and compare the impacts of different digital media types, such as smartphones, online games, and social media, on sleep quality.

METHODS

Adhering to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, the study performed a systematic meta-analysis of literature across multiple databases, including Web of Science, MEDLINE, PsycINFO, PubMed, Science Direct, Scopus, and Google Scholar, from January 2018 to October 2023. Two trained coders coded the study characteristics independently. The effect sizes were calculated using the correlation coefficient as a standardized measure of the relationship between electronic media use and sleep quality across studies. The Comprehensive Meta-Analysis software (version 3.0) was used to perform the meta-analysis. Statistical methods such as funnel plots were used to assess the presence of asymmetry and a p-curve test to test the p-hacking problem, which can indicate publication bias.

RESULTS

Following a thorough screening process, the study involved 55 papers (56 items) with 41,716 participants from over 20 countries, classifying electronic media use into "general use" and "problematic use." The meta-analysis revealed that electronic media use was significantly linked with decreased sleep quality and increased sleep problems with varying effect sizes across subgroups. A significant cultural difference was also observed in these effects. General use was associated with a significant decrease in sleep quality (P<.001). The pooled effect size was 0.28 (95% CI 0.21-0.35; k=20). Problematic use was associated with a significant increase in sleep problems (P≤.001). The pooled effect size was 0.33 (95% CI 0.28-0.38; k=36). The subgroup analysis indicated that the effect of general smartphone use and sleep problems was r=0.33 (95% CI 0.27-0.40), which was the highest among the general group. The effect of problematic internet use and sleep problems was r=0.51 (95% CI 0.43-0.59), which was the highest among the problematic groups. There were significant differences among these subgroups (general: Qbetween=14.46, P=.001; problematic: Qbetween=27.37, P<.001). The results of the meta-regression analysis using age, gender, and culture as moderators indicated that only cultural difference in the relationship between Eastern and Western culture was significant (Qbetween=6.69; P=.01). All funnel plots and p-curve analyses showed no evidence of publication and selection bias.

CONCLUSIONS

Despite some variability, the study overall confirms the correlation between increased electronic media use and poorer sleep outcomes, which is notably more significant in Eastern cultures.

A bidirectional model of sleep and technology use: A theoretical review of How much, for whom, and which mechanisms

The link between technology and sleep is more complex than originally thought. In this updated theoretical review, we propose a new model informed by the growing body of evidence in the area over the past 10 years. The main theoretical change is the addition of bi-directional links between the use of technology and sleep problems. We begin by reviewing the evidence to date for the originally proposed mechanisms of bright light, arousal, nighttime sleep disruptions, and sleep displacement. Then, in support of the new direction of effect (sleep problems preceding technology use), we propose two new mechanisms: technology before sleep might be used as a time filler and/or as an emotional regulation strategy to facilitate the sleep-onset process. Finally, we present potential moderators of the association between technology and sleep, in recognition of protective and vulnerability factors that may mitigate or exacerbate the effects of technology on sleep and vice versa. The goal of this theoretical review is to update the field, guide future public health messages, and to prompt new research into how much technology and sleep affect each other, for whom it may be problematic, and which mechanisms may explain their association.

The dark side of mobile work during non-work hours: moderated mediation model of presenteeism through conservation of resources lens

Owing to the development of Information and Communication Technology (ICT) and the inevitability of telecommuting in the COVID-19 environment, the boundary between working and non-working hours has become blurred. mWork, that is, ICT-based off-hour work, which has increased through the pandemic, affects employees' work attitudes, such as presenteeism. Hence, we designed a study to investigate the antecedents and mechanisms of employee presenteeism from the perspective of the conservation of resources theory. We supported our hypothesis using a sample of 325 Korean office workers obtained through three rounds of time-delay surveys. The results show that presenteeism is higher among employees with high mWork. In addition, employees' mWork increases sleep deprivation and presenteeism, and the exchange ideology of employees reinforces the positive effect of sleep deprivation on presenteeism. Additionally, the higher the level of exchange ideology, the stronger the mediating effect of mWork on presenteeism through sleep deprivation. This study verified the conservation of resources theory by identifying the mechanism by which mWork affects an employee's life, which in turn affects their work, and provides practical implications for managing productivity loss due to presenteeism.

"I could do almost nothing without digital technology": a qualitative exploration of adolescents' perception of the risks and challenges of digital technology

Background

The fast development of digital technology and of its use at even younger ages is significantly shaping the current generation of adolescents. This is leading to an almost unlimited accessibility that provides a large number of opportunities, but also to many challenges that adolescents have to face. The aim of our study was to explore the perceptions adolescents have of the risks of digital technology.

Methods

We conducted online semi-structured interviews as a part of the international Health Behaviour in School-aged Children study. The sample consisted of 15 Slovak adolescents (mean age: 15.33; 20% boys). To analyse our data, we used consensual qualitative research and thematic analysis.

Findings

Our findings confirmed that adolescents are aware of the risks associated with the use of digital technology. Regarding their specific types of the perceived risks, we identified four main themes: 1. dependence on the functionality of technology; 2. problematic control; 3. vulnerability in the virtual environment; 4. health risks. Adolescents thus want technology that is functional, safe and does not endanger their health.

Conclusion

Despite the fact that adolescents know of the risks they may experience due the digital technology, they still use it. Preventive strategies should focus on functionality, safety and healthiness; furthermore, they should support the constant development of adolescents' digital awareness and raising their awareness about effective and non-threating use of technology.

Can restricting while-in-bed smartphone use improve sleep quality via decreasing pre-sleep cognitive arousal among Chinese undergraduates with problematic smartphone use? Longitudinal mediation analysis using parallel process latent growth curve modeling

BACKGROUND AND AIM

Problematic smartphone use (PSU) has become a global public health problem. Excessive while-in-bed smartphone use may result in poor sleep quality. The present study aimed to examine whether restricting while-in-bed smartphone use can improve sleep quality and the mediating role of pre-sleep cognitive arousal in this process.

METHODS

A total 152 Chinese undergraduates with symptoms of PSU (Smartphone Addiction Scale-Short Version [SAS-SV] > 31) were recruited and randomly assigned to the intervention group (N = 76) and the control group (N = 76) for a 4-week follow-up experiment. Sleep quality (assessed by the Pittsburgh Sleep Quality Index) and pre-sleep cognitive arousal (assessed by the Pre-sleep Arousal Scale-Cognitive Arousal) were measured at baselime, Week1, Week2, Week3, and Week4. The longitudinal mediation model was analyzed using parallel process latent growth curve modeling. The significance of indirect effect was tested by 95% biascorrected accelerated confidence intervals on the basis of 5000 bootstrap samples.

RESULTS

The initial level of sleep quality was positively associated with the initial level of pre-sleep cognitive arousal. The intervention decreased pre-sleep cognitive arousal and increased sleep quality. The slope of pre-sleep cognitive arousal was positively associated with the slope of sleep quality. The mediating effect of pre-sleep cognitive arousal was significant.

DISCUSSION

Restricting while-in-bed smartphone use can improve sleep quality via decreasing pre-sleep cognitive arousal among Chinese undergraduates with symptoms of PSU. These results suggests that restricting while-in-bed smartphone use is a potential remedy for sleep disturbance induced by PSU.

Mediating effect of sleep in the association between social media use and mental health among French adolescents during the COVID-19 sanitary crisis

OBJECTIVE/BACKGROUND

Social media use could have deleterious effects on mental health through short sleep duration and poor sleep quality among adolescents. This study aimed to investigate the mediating role of both sleep duration and sleep quality in the association between social media use and mental health among adolescents.

PATIENTS/METHODS

We used cross-sectional data collected from adolescents in the EXIST pilot project conducted during COVID-19 pandemic. Adolescents self-reported wellbeing (WEMWBS), anxiety and depression (HADS) as mental health outcomes. We used ad-hoc questionnaires to assess social media use during weekdays and weekend days, and sleep duration and quality. Mediation analyses were carried out following Baron and Kenny's method, using adjusted linear regression models.

RESULTS

A total of 340 adolescents (13.5 ± 0.6 years, 45.3 % girls) were included. Greater social media use, poorer sleep quality, and shorter sleep duration were associated with poorer mental health. Greater social media use was associated with poorer sleep quality only during the weekend days. The total effect of social media use during weekend days on anxiety (β = 2.54; 95%CI [-1.59; 6.68]) was significantly conveyed through sleep quality (β = 1.22; 95%CI [0.17; 2.62]; mediated proportion = 48.0 %) and duration (mediated proportion = 46.8 %). Mediated proportions ranged from 12.5 % to 20.6 % for wellbeing and depression. Mediating effects were not evident during weekdays.

CONCLUSIONS

Sleep duration and quality mediated the association between social media use and mental health among adolescents during weekend days but not weekdays. Our findings highlight the importance of promoting healthy social media habits, especially during periods of increased reliance on digital platforms, such as COVID-19 pandemic.

COVID-19 lockdown stress and problematic social networking sites use among quarantined college students in China: A chain mediation model based on the stressor-strain-outcome framework

The COVID-19 pandemic has coincided with a global increase in problematic social networking sites use (PSNSU). By drawing on transactional stress theory and applying the stressor-strain-outcome (SSO) framework, we proposed and verified a chain mediation model to explore the mediating roles of fear of missing out (FoMO) and future anxiety (FA) in the relationship between COVID-19 lockdown stress (CL stress) and PSNSU. Our sample of 670 quarantined college students in China responded to a COVID-19 student stress questionnaire, a social network addiction scale, a fear of missing out scale, and a dark future scale. The results revealed that (1) CL stress significantly positively predicted PSNSU, (2) both FoMO and FA mediated the relationship between CL stress and PSNSU, (3) FoMO significantly positively predicted FA, and (4) a full chain mediation was observed between CL stress and PSNSU.

Social Media Usage and Its Effects on the Psychological Health of Adolescents

Social media usage is ubiquitous among adolescents. Although social media may appeal to adolescents due to the ability to connect with peers and develop relationships, many teens also report feelings of exclusion or victimization associated with their social media use. High usage of social media may act as a forum for negative behaviors and psychological detriments. Awareness and understanding of how social media affects adolescents' psychological well-being will help parents and school staff better support teenagers and develop programs to improve coping skills and self-regulation of social media for adolescents.

Exploring associations between social media addiction, social media fatigue, fear of missing out and sleep quality among university students: A cross-section study

BACKGROUND

Social media use has been linked to poor sleep outcomes among university students in the cyber age, but the association between the negative consequences of social media use and sleep problems is not yet well understood. The present study investigated the relationships among social media usage, social media fatigue (SMF), fear of missing out (FoMO), social media addiction (SMA) and sleep quality in university students.

METHOD

An online survey was administered to 2744 respondents that included the Pittsburgh Sleep Quality Index (PSQI); questionnaires evaluating FoMO, SMF, and SMA; and questions regarding sleep duration, social media use, health status, and demographic information.

RESULT

A total of 19.9% of respondents suffered from sleep disturbance. A total of 15.6% of participants had sleep durations less than 5 h, and 21.6% of subjects had sleep durations longer than 9 h. Sleep quality was positively associated with SMF (OR = 1.387, 95% CI: 1.103~1.743), and SMA (OR = 1.415, 95% CI: 1.118~1.791). The relationship between FoMO and sleep disturbance was not significant. Compared to a sleep duration > 9 h, SMF increased the risk of shorter sleep durations [5-6 h sleep (OR = 2.226, 95% CI: 1.132~4.375), 6-7 h sleep (OR = 1.458, 95% CI: 1.061~2.002), and 7-8 h sleep (OR = 1.296, 95% CI: 1.007~1.670)]. FoMO and SMA did not significantly affect sleep duration. In addition, SMA (OR = 3.775, 95% CI: 3.141~4.537), FoMO (OR = 3.301, 95% CI: 2.753~3.958), and sleep disorders (OR = 1.284, 95% CI: 1.006~1.638) increased SMF.

CONCLUSION

Upon experiencing negative consequences of social media use, such as SMF and SMA, university students were likely to experience sleep problems. Further research exploring the interventions that improve sleep and alleviate negative consequences of social media use should be conducted.

manymome: An R package for computing the indirect effects, conditional effects, and conditional indirect effects, standardized or unstandardized, and their bootstrap confidence intervals, in many (though not all) models

Mediation, moderation, and moderated mediation are common in behavioral research models. Several tools are available for estimating indirect effects, conditional effects, and conditional indirect effects and forming their confidence intervals. However, there are no simple-to-use tools that can appropriately form the bootstrapping confidence interval for standardized conditional indirect effects. Moreover, some tools are restricted to a limited type of models. We developed an R package, manymome, which can be used to estimate and form confidence intervals for indirect effects, conditional effects, and conditional indirect effects, standardized or not, using a two-step approach: model parameters are estimated either by structural equation modeling using lavaan or by a set of linear regression models using lm, and then the coefficients are used to compute the requested effects and form confidence intervals. It can be used when there are missing data if the model is fitted by structural equation modeling. There are only a few limitations on some aspects of a model, and no inherent limitations on the number of predictors, the number of independent variables, or the number of moderators and mediators. The goal is to have a tool that allows researchers to focus on model fitting first and worry about estimating the effects later. The use of the model is illustrated using a few numerical examples, and the limitations of the package are discussed.

Loneliness and problematic social networking sites use in young adults with poor vs. good sleep quality: The moderating role of gender

Despite the evidence of a relationship between loneliness, problematic social networking sites use (PSNSU), and sleep quality, associations between specific PSNSU symptoms and loneliness in individuals with poor vs. good sleep quality and possible gender differences have yet to be understood. We examined the relationships between loneliness and PSNSU symptoms (i.e., preference for online social interaction - POSI, mood regulation, deficient self-regulation, and negative outcomes), and possible moderating effects of gender for individuals with poor vs. good sleep quality. Seven hundred and sixty-three young adults completed an online survey including self-report measures of sleep quality, loneliness, and PSNSU symptoms. Individuals with poor sleep quality reported higher levels of loneliness and greater scores on all PSNSU domains than those with good sleep quality. Slope analyses revealed that in men vs. women with poor sleep quality, greater deficient self-regulation of social networking sites use was associated with lower levels of loneliness. Conversely, in men vs. women with good sleep quality, greater POSI was associated with higher levels of loneliness. Our findings showed that individuals with poor sleep quality are characterized by higher levels of loneliness and more severe PSNSU symptoms that may be the result of sleep disturbance-related metabolic, neural, and hormonal processes. Moreover, our results highlight gender differences for individuals with poor vs. good sleep quality which may help clarify the nature of the association between loneliness and PSNSU.

Why mobile social media-related fear of missing out promotes depressive symptoms? the roles of phubbing and social exclusion

BACKGROUND

With the popularity of mobile socialization, people have become more closely connected with their phones. While people enjoy the convenience that phones bring (e.g., accessing information and socializing), they also feel anxious about missing out on certain information. Previous researches have shown that fear of missing out (FoMO) can trigger depressive symptoms, however, the underlying psychological mechanisms are not yet clear. In addition, limited research has explored this issue in the context of mobile social media.

METHODS

To address this research gap, we surveyed 486 Chinese college students (278 males and 208 females, mean age = 19.95 years, SD = 1.14) and all participants completed a self-report questionnaire including mobile social media-related FoMO scale, phubbing scale, social exclusion scale, and the patient health questionnaire-9. The data were analyzed by SPSS24.0 and the Process macro and developed a mediating and moderating model incorporating phubbing and social exclusion.

RESULTS

The results showed that (1) mobile social media-related FoMO (MSM-related FoMO) can significantly and positively predict depressive symptoms among college students; (2) phubbing partially mediates the relationship between MSM-related FoMO and depressive symptoms; (3) the direct predictive effect of MSM-related FoMO on depressive symptoms is moderated by social exclusion.

CONCLUSION

These findings are not only valuable for understanding the underlying mechanisms linking MSM-related FoMO and depressive symptoms, but also contribute to the development of psychological intervention programs (e.g., interventions based on social exclusion or phubbing) aiming at reducing college students' depressive symptoms.

Mobile phone dependency and sleep quality in college students during COVID-19 outbreak: the mediating role of bedtime procrastination and fear of missing out

OBJECTIVE

The purpose of this study was to investigate the associations between mobile phone dependency, bedtime procrastination, FoMO, and sleep quality among college students during the COVID-19 outbreak. Specifically, we examined whether bedtime procrastination and FoMO mediate the relationship between mobile phone dependency and sleep quality.

METHODS

A total of 881 college students completed an online survey in May 2022 in Shanghai, China. Mobile Phone Involvement Questionnaire, Bedtime Procrastination Scale, Fear of Missing Out Scale and Pittsburgh Sleep Quality Index were used to assess mobile phone dependency, bedtime procrastination, fear of missing out, and sleep quality, respectively. Multiple linear regression and mediation analysis were conducted.

RESULTS

The correlation analyses indicated mobile phone dependency was positively associated with fear of missing out, bedtime procrastination, and poor sleep quality among college students. The structural equation modeling analyses revealed that mobile phone dependency had significant indirect effects on sleep quality through bedtime procrastination (indirect effect: 0.030, 95%CI: 0.022-0.041) and fear of missing out (indirect effect: 0.013, 95%CI: 0.003-0.023).

CONCLUSION

The findings indicated that bedtime procrastination and fear of missing out are mediators mediating the relationship between mobile phone dependency with sleep quality. Bedtime procrastination and fear of missing out should be considered as potential intervention targets for reducing mobile phone dependency and improving sleep quality in college students.

Exploring associations between eHealth literacy, cyberchondria, online health information seeking and sleep quality among university students: A cross-section study

Background

University students are increasingly inclined to use the Internet for health-related purposes, and their sleep problems are becoming increasingly prominent. Currently, the relationship between sleep quality and online health-related searches is poorly understood. The aim of this study was to exam the associations of sleep quality, Internet use, eHealth literacy, online health information seeking and cyberchondria in the sample of Chinese university students.

Methods

A total of 2744 students completed self-reported questionnaires online containing the Pittsburgh Sleep Quality Index (PSQI), eHealth Literacy Scale, Online Health Information Seeking, Cyberchondria Severity Scale (CSS) and questions regarding sleep duration, Internet use, health status, and demographic information.

Results

The prevalence of poor sleep quality (PSQI >7) among the university students was 19.9% and 15.6% students slept less than 7 h per day. As time spent on online daily and playing phone before bed increased, the prevalence of sleep disturbance gained. Sleep disturbance was significantly associated with cyberchondria (OR = 1.545, p = 0.001), health status [good (OR = 0.625, p = 0.039), poor (OR = 3.128, p = 0.010), and fair (OR = 1.932, p = 0.001)]. Sleep quality, online health information seeking and eHealth literacy positively influenced with cyberchondria. Compared to 7-8 h sleep duration, online health information seeking (OR = 0.750, p = 0.012) was significantly associated with ≥8 h sleep duration.

Conclusion

Our findings highlighted poor health status, too much time spent on online daily and high cyberchondria level might decrease sleep quality in the sample of Chinese university students, further suggesting the need for developing interventions based on online health-related searches for improving sleep quality among university students.

Adolescent use of social media and associations with sleep patterns across 18 European and North American countries

OBJECTIVE

Over the past decade, concurrent with increasing social media use (SMU), there has been a shift toward poorer sleep among adolescents in many countries. The purpose of this study was to examine the cross-national associations between adolescent SMU and sleep patterns, by comparing 4 different categories of SMU (nonactive, active, intense, and problematic use).

DESIGN, SETTING, AND PARTICIPANTS

Data were from 86,542 adolescents in 18 European and North American countries that participated in the 2017/18 Health Behaviour in School-aged study.

MEASUREMENTS

Mixed-effects linear regression models were used to examine cross-national associations between 4 SMU categories and adolescent sleep duration, bedtime and social jetlag derived from self-reported data.

RESULTS

For all countries combined, nonactive SMU was associated with longer sleep, earlier bedtimes, and less social jetlag, compared to active SMU, although the differences were minor. By comparison, intense and problematic SMU were associated with less sleep and later bedtimes on both school and nonschool days, and greater social jetlag, compared to active SMU. While findings were relatively consistent between countries, some differences were observed, suggesting that the national and cultural context may be important in interpreting results.

CONCLUSIONS

These findings suggest that both intense and problematic SMU are associated with poorer sleep patterns in adolescents across most countries. Further research is needed to identify effective policies, programs, and messaging to promote the healthy use of social media and prevent potential negative impacts on adolescent sleep.

A serial mediation model of social media addiction and college students' academic engagement: the role of sleep quality and fatigue

BACKGROUND

It has been documented that social media addiction (SMA) has a detrimental effect on college students' academic engagement. However, the mechanisms underlying this association are not well understood. This study aimed to determine the serial mediation effects of sleep quality and fatigue on the relationship between SMA and academic engagement among college students.

METHODS

A cross-sectional survey was conducted with 2661 college students (43.3% males, mean age = 19.97 years). The participants completed the Bergen Social Media Addiction Scale, the Utrecht Student Work Engagement Scale for Students, the Pittsburgh Sleep Quality Index, and the Fatigue Assessment Scale. The serial mediation effects were examined using Model 6 in the Hayes' PROCESS macro for SPSS.

RESULTS

The results showed that SMA among college students had a direct negative relationship with their academic engagement (Effect = - 0.051, 95% CI: -0.087 to - 0.015). In addition, sleep quality and fatigue mediated the relationship between SMA and academic engagement both independent and serially, with the independent mediation effect of sleep quality being - 0.031 (95% CI: -0.048 to - 0.016), the independent mediation effect of fatigue being - 0.109 (95% CI: -0.133 to - 0.088), and the serial mediation effect of sleep quality and fatigue being - 0.080 (95% CI: -0.095 to - 0.066). The total indirect effect of the three mediation paths was 80.9%.

CONCLUSIONS

Decreased academic engagement caused by SMA can be aggravated by poor sleep quality and fatigue. Strengthening supervision and intervention in social media use among college students, supplemented by attention to psychosomatic health, including sleep quality and fatigue could promote their engagement in academic work.

A preliminary study on the association between social media at night and sleep quality: The relevance of FOMO, cognitive pre-sleep arousal, and maladaptive cognitive emotion regulation

Research shows that nighttime social media is negatively associated with sleep quality and that it might be utilized to cope with aversive psychological states related to cognitive pre-sleep arousal (i.e., transdiagnostic psychopathology variables, referring to maladaptive repetitive thought), namely Fear of Missing Out (FoMO). The use of nighttime social media to cope with other aversive cognitive states (i.e., worry/rumination), their relationship with FoMO, and these variables' association with sleep are not fully understood. This study explored the relationships between nighttime social media, sleep quality, FoMO, cognitive pre-sleep arousal, and maladaptive cognitive emotion regulation (i.e., worry/rumination). The present correlational study followed a cross-sectional design. Participants were 525 university students, ranging in age from 18 to 64 (M = 22.39, SD = 5.62). Measures of sleep quality, morningness/eveningness, cognitive pre-sleep arousal, worry, rumination, FoMO, nighttime screen, and social media use were collected online or in pencil-paper format. Multiple linear regression analyses were performed. Nighttime social media and FoMO were associated with rumination, worry (H1) and cognitive pre-sleep arousal. Both FoMO and worry predicted higher levels of cognitive pre-sleep arousal (H2) and nighttime social media use (H3). Nighttime social media use independently predicted poor sleep quality (H4). These results suggest that worry and FoMO may potentially affect sleep quality by increasing cognitive pre-sleep arousal and nighttime social media. A possible explanation for these findings is that nighttime social media might be used as a strategy to cope with aversive cognitive states. These conclusions may contribute to improving sleep intervention in this population.

Social media use is linked to poor sleep quality: The opportunities and challenges to support evidence-informed policymaking in the UAE

BACKGROUND

This study was conducted among a convenience sample of Ajman University students in UAE between February 2018 and May 2019.

METHODS

All undergraduate and master's degree students from the 1st to 5th year of medical and non-medical colleges. The survey was carried out by distributing a pre-designed, pre-structured questionnaire to the students during lectures. The questionnaires were primarily composed of three sections: demographic characteristics, educational characteristics and sleep quality characteristics. The data were analyzed using STATA version 14.2. Logistic regression analysis was used to investigate the association between sleep characteristics, social media use and other significant risk factors. The P-values < 0.05 were considered to be statistically significant.

RESULTS

The vast majority of the study participants were social media users, and a considerable proportion suffered from poor sleep quality. A significantly increased risk of bad sleep quality and intermittent/anxious sleep patterns were observed among social media users.

CONCLUSION

Health policymakers should fully consider these factors in improving the sleep quality of university students.

What's "app"-ning to adolescent sleep? Links between device, app use, and sleep outcomes

This study investigated the associations between adolescent evening use of technology devices and apps, night time sleep, and daytime sleepiness. Participants were 711 adolescents aged 12-18 years old (46% Female, M_age = 15.1, SD = 1.2). Time spent using technology devices and apps in the hour before bed, and in bed before sleep onset, was self-reported. Participants additionally completed a questionnaire about their sleep on school nights and next day sleepiness. In the hour before bed, 30 min of phone use was associated with a 9-min delay in bedtimes. Thirty minutes spent using laptops, gaming consoles, and watching YouTube was associated with later lights out times of 9 min, ∼16 min and ∼11 min respectively, while watching TV was associated with a 9 min earlier lights out times. Using gaming consoles and watching YouTube were associated with greater odds of receiving insufficient sleep (≤7 h TST). In bed before sleep onset, 30 min spent using laptops, phones, iPad/tablets, and watching YouTube were linked with later lights out times of ∼7 min for phones and laptops, 9 min for iPad/tablets, and ∼13 min for YouTube. Watching Netflix was associated with greater daytime sleepiness. YouTube at this time point was associated with increased odds of sleeping ≤7 h on school nights. Adolescents are engaging with a wide range of technology devices and apps in the evenings. However, certain devices and apps (e.g., phones, laptops, gaming and YouTube) might lead to more negative sleep outcomes for adolescents on school nights compared to others.

Mediated effects of insomnia in the association between problematic social media use and subjective well-being among university students during COVID-19 pandemic

Recently, the use of social media has penetrated many aspects of our daily lives. Therefore, it has stimulated much debate and polarisation regarding its impact on mental well-being. The present study investigated the association between problematic use of social media, subjective well-being, and insomnia's potential mediator. A proportionate random sample was collected from a Univerity in Algeria between March and April 2020.The participants (n=288; mean [SD] age = 20.83 [2.13]) involved 101 (35.1%) males. Nearly three-fourths of the participants (n=214; 74.3%) used up more-than three hours daily surfing on social media. Their mean (SD) score was 15.64 (4.80) on the Bergan Social Media Addiction Scale, 16.19 (9.15) on the Arabic Scale of Insomnia, and 28.13 (7.90) on the overall subjective well-being. Structural equation modeling (SEM) revealed an indirect correlation between problematic use of social media and the overall subjective well-being of users. Similarly, the indirect but not direct effects were found for the overall subjective well-being subdomains. Moreover, all SEM models have a satisfactory fit with the data. Based on the results, it can be concluded that insomnia appears to play an important role in mediating the association between subjective well-being and problematic social media use. This suggests the importance of tackling the issues of insomnia and problematic use of social media for university students. It also has important implications in dealing with the misuse of social media, especially during the covid-19 pandemic.

Social media engagement, perceptions of social media costs and benefits, and well-being in college student-athletes

Objective: The present study investigated the association between social media engagement and factors related to well-being (e.g., depression, anxiety, sleep, loneliness, self-esteem). Participants: A sample of 1120 college student-athletes (338 males, 777 females, 5 identified as non-binary) from nine universities participated in this study. Method: Data were collected through self-report measures and screen shots of participants' screen time in the previous week. Results: Overall screen time taken from devices was not associated with self-reported well-being, whereas use of social media during daily activities was related to worse well-being across domains (e.g., lower self-esteem, higher fear of missing out, stress, anxiety, depression). In addition, student-athlete perceptions that social media interfere with their lives were related to worse well-being. Conclusions: The implications of these findings, including the possibility of using protective behavioral strategies (PBS) to reduce negative impacts of social media in college students, are discussed.

Multidimensional self-rating biological rhythm disorder and its association with depression and anxiety symptoms among adolescents aged 11-23 years: a school-based cross-sectional study from China

BACKGROUND

Depression and anxiety are topical concerns worldwide, especially among adolescents. Besides, biological rhythm disorder as a candidate mechanism for mood disorders is highly prevalent, but relevant research among adolescents in China is presently limited. We conducted the present study to investigate the distribution of multi-dimensional self-rating biological rhythm disorder and the association of self-rating biological rhythm disorders with depression and anxiety symptoms among Chinese adolescents in different academic stages.

METHODS

In the cross-sectional study, 3693 students aged 11-23 from Zhengzhou City, Henan Province, China were included. The Patient Health Questionnaire (PHQ-9) and General Anxiety Disorder (GAD-7) were used to evaluate symptoms of depression and anxiety, respectively. Additionally, the Self-Rating of Biological Rhythm Disorder for Adolescents (SBRDA) was used to assess status of biological rhythm disorders. Multivariate logistic regression was developed to explore factors potentially associated with symptoms of depression and anxiety stratified by academic stages.

RESULTS

Among all participants, 44.14 and 36.15% suffered from depression and anxiety symptoms, respectively. On average, participants scored 74.66 ± 19.37 on the measure of total biological rhythm disorder. Adjusted for demographic confounding factors, the logistic regression analysis showed higher scores of total biological rhythm disorder were associated with more severe depression (OR = 14.38, 95%CI: 11.38-18.16) and anxiety symptoms (OR = 11.63, 95%CI: 9.14-14.81). The similar results were also found in the stratified analysis by academic stages.

CONCLUSIONS

Self-rating biological rhythm disorders are significantly associated with depression and anxiety symptoms among adolescents. Discrepancy across academic stages should also be taken into account in establishing public health strategies.

Adolescent sleep duration: associations with social‐cognitive determinants and the mediating role of sleep hygiene practices

Insufficient sleep duration among adolescents is a widespread public health problem. Gaining better insight into social-cognitive determinants associated with adolescent sleep duration is necessary for developing effective preventive interventions to support healthy sleep. This study aimed to explore whether social-cognitive determinants regarding sufficient sleep duration were associated with sleep duration, and if these associations were mediated by collective sleep hygiene practices. Furthermore, we examined these associations for social-cognitive determinants related to not using media before bedtime and doing relaxing activities and considered whether these associations were mediated by specific sleep hygiene practices. Data were collected amongst second- and third-grade adolescents from 10 Dutch high schools. A total of 878 adolescents (mean [SD] age 13.3 [0.71] years) completed data on sleep duration, social-cognitive determinants of the Theory of Planned Behaviour (i.e., attitude, subjective norms from parents, subjective norms from peers, perceived behavioural control, intention), and sleep hygiene practices. Single- and multivariable path models were constructed and mediation by sleep hygiene practices was analysed by Monte Carlo simulation. All social-cognitive determinants except for subjective norms from peers were associated with longer sleep duration (p < 0.01). Sleep hygiene practices mediated all associations between social-cognitive determinants and sleep duration (mediation ranging from 16% to 72%). Although some of the significant associations and mediation disappeared in the multivariable model, behavioural arousal was the strongest mediator, but collective sleep hygiene practices and cognitive/emotional arousal also explained parts of the associations. The findings indicate that social-cognitive factors should not be overlooked when targeting adolescent sleep duration.

Research trends in social media addiction and problematic social media use: A bibliometric analysis

Despite their increasing ubiquity in people's lives and incredible advantages in instantly interacting with others, social media's impact on subjective well-being is a source of concern worldwide and calls for up-to-date investigations of the role social media plays in mental health. Much research has discovered how habitual social media use may lead to addiction and negatively affect adolescents' school performance, social behavior, and interpersonal relationships. The present study was conducted to review the extant literature in the domain of social media and analyze global research productivity during 2013-2022. Bibliometric analysis was conducted on 501 articles that were extracted from the Scopus database using the keywords social media addiction and problematic social media use. The data were then uploaded to VOSviewer software to analyze citations, co-citations, and keyword co-occurrences. Volume, growth trajectory, geographic distribution of the literature, influential authors, intellectual structure of the literature, and the most prolific publishing sources were analyzed. The bibliometric analysis presented in this paper shows that the US, the UK, and Turkey accounted for 47% of the publications in this field. Most of the studies used quantitative methods in analyzing data and therefore aimed at testing relationships between variables. In addition, the findings in this study show that most analysis were cross-sectional. Studies were performed on undergraduate students between the ages of 19-25 on the use of two social media platforms: Facebook and Instagram. Limitations as well as research directions for future studies are also discussed.

Between- and within-person associations of mobile gaming time and total screen time with sleep problems in young adults: Daily assessment study

OBJECTIVES

To explore associations of screen time (total, mobile gaming) with sleep problems in Chinese young adults.

METHODS

This was a 4-week daily morning (completion rate = 82.1%, 909/1107) and evening (completion rate = 92.4%, 1061/1148) assessment study in 41 university students (22 female, mean age = 22.3 [SD 4.2] years). Short sleep duration < 7 h, difficulty initiating sleep, difficulty maintaining sleep, early morning awakening, and any of these three insomnia symptoms were self-reported in the morning. Mobile gaming time was self-reported in the evening, whilst total screen time was objectively tracked. Bayesian multilevel mixed-effects modeling disaggregated between- and within-person associations.

RESULTS

Between person, longer mobile gaming time predicted short sleep duration (adjusted odds ratio [AOR] = 1.90, 95% CI 1.39, 2.69), any insomnia symptoms (AOR = 1.59, 95% CI 1.20, 2.11), difficulty initiating sleep (AOR = 3.05, 95% CI 1.51, 6.24), and difficulty maintaining sleep (AOR = 2.19, 95% CI 1.18, 3.74). Short sleep duration (adjusted b = 0.99, 95% CI 0.05, 1.95), any insomnia symptoms (adjusted b = 1.19, 95% CI 0.24, 1.94), and difficulty initiating sleep (adjusted b = 1.72, 95% CI 0.11, 3.19) reversely increased mobile gaming time. Within person, any insomnia symptoms (adjusted b = 0.17, 95% CI 0.04, 0.31) and early morning awakening (adjusted b = 0.28, 95% CI 0.08, 0.48) increased next-day mobile gaming time. Total screen time was not associated with sleep problems both between and within person.

CONCLUSIONS

Bidirectional between-person associations of mobile gaming time with short sleep duration and insomnia symptoms informed multiple-health-behavior-change interventions. Unidirectional within-person associations of insomnia symptoms with next-day mobile gaming time informed just-in-time adaptive interventions addressing daily variations in insomnia symptoms. [250/250 word limits].

Drivers and Consequences of Short-Form Video (SFV) Addiction amongst Adolescents in China: Stress-Coping Theory Perspective

As a hedonic technology, short-form videos (SFVs) have attracted numerous users. However, one related problem that merits research is SFV addiction, especially among adolescents due to their immature self-control abilities. Although recent research has discussed the formation process of SFV addiction from psychological needs and the SFV features perspective, scarce attention has been paid to investigating the relationship between stress and SFV addiction, as well as the relationship between SFV addiction and its consequences. Therefore, the purpose of this study is to examine whether school burnout (school stress), social phobia (social stress), and parental phubbing (family stress) trigger SFV addiction based on stress-coping theory and, furthermore, whether SFV addiction leads to low levels of happiness (psychological consequence), parent-child relationship quality (relational consequence), and perseverance (behavioral consequence) among adolescents. The proposed model was tested based on data collected from 242 adolescents from across China under the age of 18 with the experience watching SFVs. A covariance-based structural equation modeling (CB-SEM) method was used for data analysis. The results showed that school burnout and social phobia significantly triggered SFV addiction, which later negatively and significantly influenced adolescents' happiness, parent-child relationship quality, and perseverance. The study also found that SFV addiction served as a mediator between the drivers and consequences of SFV addiction. This study provides several theoretical implications. First, this study is one of the first to explain adolescents' SFV addiction from stress-coping perspective, thereby enriching research in the field of SFV addiction. Second, prior research has rarely discussed the impacts of stresses from various environments on addiction behavior in a single study. Therefore, this study contributes to the knowledge of stress-related research in an SFV addiction context. Finally, our study enhances our understanding of the impact of SFV addiction on its consequences, in both an SFV research context and a social media research context.

Sleep health and its related influencing factors in primary and middle school students in Fuzhou: A large multi-center cross-sectional study

Background

This current study set out to investigate the status of sleep health in 7–20-year-old students in Fuzhou and explore the related influencing factors of sleep health.

Methods

A total of 38,467 children and adolescents in Fuzhou were included in the study through a random stratified cluster sampling. Data were collected from May to June 2019, in 18 primary schools and 18 middle schools from nine districts, Fuzhou. Children's parents and adolescents of sampled classes were invited to fill out a series of questionnaires about the performance of the last 6 months (sociodemographic characteristics, sleep-related lifestyle behaviors, and electronic-products usage). Multiple linear regression was carried out to analyze data.

Results

Of the total 40,888 questionnaires we released, 38,467 were valid and effective with the response rate was 94.08%. The age of the surveyed participants was 11.85 ± 3.1, including 20,013 boys and 18,454 girls. The multiple linear regression analysis identified factors associated with sleep health (p < 0.05): Boy (coef = 0.073, 95% CI: 0.030–0.115), age (coef = 1.797, 95% CI: 0.224–0.243), key school (coef = 2.069, 95% CI: 0.105–0.193), urban (coef = 0.096, 95% CI: 0.054–0.139), excessive daytime sleepiness (coef = 0.535, 95% CI: 0.432–0.639), unhealthy sleep habits (coef = 0.363, 95% CI: 0.307–0.419), eating before sleep (coef = 0.578, 95% CI: 0.527–0.630), using electronic products in bedroom (coef = 0.074, 95% CI: 0.028–0.121), screen time per day during school (coef = 0.260, 95% CI: 0.235–0.284), frequency of using electronics 30 min before bedtime (coef = 0.150, 95% CI: 0.134–0.166), strained relationship with parents (coef = 0.361, 95% CI: 0.270–0.452), strained relationship with peers (coef = 0.267, 95% CI: 0.171–0.363), excessive homework or learning (coef = 0.189, 95% CI: 0.141–0.237), time for doing homework (coef = 0.266, 95% CI: 0.245–0.287), and mood swings frequently (coef = 1.174, 95% CI: 1.127–1.221) negatively impact sleep health. Sleep alone (coef = −0.204, 95% CI: −0.262–0.147) were the risk factors for sleep health. Furthermore, frequent mood swings was considered the most influential factor on overall variables.

Conclusions

Sleep health is associated with factors covered sociodemographic characteristics, family sleep habits, and routine activities before bedtime. Multiple measures should be taken to improve sleep quality in a targeted manner.

The COVID-19 infodemic at your fingertips. Reciprocal relationships between COVID-19 information FOMO, bedtime smartphone news engagement, and daytime tiredness over time

Considering that insufficient sleep has long been regarded as a significant public health challenge, the COVID-19 pandemic and its co-evolving infodemic have further aggravated many people's sleep health. People's engagement with pandemic-related news, particularly given that many people are now permanently online via smartphones, has been identified as a critical factor for sleep health, such that public health authorities have recommended limited news exposure. This two-wave panel survey, conducted with a representative sample in Austria during its first COVID-19 lockdown, examines (a) how fear of missing out on pandemic-related news (i.e., COVID-19 information FOMO) is reciprocally related to smartphone-based bedtime news engagement, as well as (b) how both bedtime news engagement and COVID-19 information FOMO predict daytime tiredness. Partial metric measurement invariant structural equation modeling revealed that COVID-19 information FOMO and bedtime news engagement are reciprocally associated over time, indicating a potentially harmful reinforcing loop. However, results further suggested that COVID-19 information FOMO may be the primary driver of daytime tiredness, not smartphone-based bedtime news engagement. These findings suggest that a perceived loss of (informational) control over the pandemic outbreak more strongly than poor sleep habits accounts for depleted energy resources during lockdown. However, given the initial evidence for a reinforcing loop, this effect pattern may change in the long term.

Reexamining Social Media and Socioemotional Well-Being Among Adolescents Through the Lens of the COVID-19 Pandemic: A Theoretical Review and Directions for Future Research

Social media has rapidly transformed the ways in which adolescents socialize and interact with the world, which has contributed to ongoing public debate about whether social media is helping or harming adolescents. The COVID-19 pandemic has magnified both the challenges and opportunities of adolescents' social-media use, which necessitates revisiting the conversation around teens and social media. In this article, we discuss key aspects of adolescent social-media use and socioemotional well-being and outline how these issues may be amplified in the context of the COVID-19 pandemic. We use this as a springboard to outline key future research directions for the field, with the goal of moving away from reductionist approaches and toward a more nuanced perspective to understand the who, what, and when of social-media use and its impact on adolescent well-being. We conclude with a commentary on how psychological science can inform the translation of research to provide evidence-based recommendations for adolescent social-media use.

The Association Between Self-Reported Screen Time, Social Media Addiction, and Sleep Among Norwegian University Students

The aim of this study was to assess the relationship between daily screen time and sleep, evening screen time and sleep, and between social media addiction and sleep in a student population. This cross-sectional study is based on data from a national survey of all college and university students in Norway (the SHoT2018 study; n = 49,051). The sleep outcomes were sleep duration, sleep onset latency, sleep efficiency, and insomnia operationalized according to formal DSM-5 criteria. The results show a strong negative association between time spent on screen-based devices and sleep quality and quantity, and where screen use in bed had more consistent negative associations with sleep. Furthermore, there were higher rates of insomnia among those with higher levels of addiction, and curvilinear relationships with sleep duration, sleep onset latency, and sleep efficiency. Those with higher levels of addiction also had more evening screen time. The findings suggest that screen use plays an important role in students' sleep quantity and quality, where evening screen time has a stronger relationship with sleep compared to total daily screen time. The results also suggest a role of social media addiction, and addictive social media use may be a target for intervention in order to reduce evening screen time.

Virtual connection, real support? A study of loneliness, time on social media and psychological distress among men

BACKGROUND

In an age of increasing loneliness and associated poor mental health, research uncovering the extent to which social connection can be achieved digitally is paramount. This is particularly important among men, who experience unique barriers to achieving meaningful social connections due to masculine norms including independence and self-reliance. Loneliness is a known determinant of both psychological distress and greater time on social media, however relationships among these constructs are yet to be studied specifically among men.

AIMS

This study aimed to examine a novel mediation model to uncover whether time on social media mediates the association between loneliness and psychological distress, alongside a moderating effect of age.

METHOD

A community sample of 979 men of mean age 36.0 years (range = 18-78, SD = 13.11) took part via an online survey involving measures of study constructs.

RESULTS

Results highlighted a novel moderated mediation effect: for younger men only, loneliness predicts psychological distress via time spent on social media.

CONCLUSION

Men experiencing loneliness appear to turn to social media in attempt at digital connection, however for younger men in particular, often this fails to ameliorate links between loneliness and psychological distress. Implications for public health messaging, clinical work with men and future interventional studies are discussed.

[Measuring adolescents' use of social media: A systematic review]

OBJECTIVE

The purpose of this review was to provide an overview of the methods used to measure social network site use among adolescents. Such a review is important given the number and diversity of sites and the prevalence of their use among adolescents.

METHODS

A systematic review of the literature was conducted in line with PRISMA guidelines to arrive at an analysis of 58 peer-reviewed studies indexed in PubMed, PsychInfo, or Scopus. To be included in the review, articles had to be peer-reviewed, available in full text, and published in French or English. For inclusion, studies were required to pertain to adolescents aged between 11 and 18 years; to focus on social network site use and indicate how their use was estimated. Studies that simultaneously examined social network sites and general internet use or video games and only provided a combined analysis were excluded. The keywords for the search were: social media use, social media usage, social media misuse, measure, teen, and adolescents.

RESULTS

In the literature, different methods were used to operationalize the use of social network sites: quantitative methods with the measurement of frequency and duration of use of social network sites, and qualitative methods to measure the different activities adolescents engage in on such sites. In this review, 28 articles investigated the use of social media through a measurement of frequency and 22 articles through a measurement of the duration of use. Most of the studies focused on social network sites in general, without specifying which sites in particular were considered by the respondents when answering the question. However, some articles provided cross measures of quantitative and qualitative measurements resulting in the examination of both the frequency of use and the time spent on specific activities on social network sites.

CONCLUSIONS

The present review highlights the great diversity in the methods used to measure the use of social network sites among adolescents. The reliance on frequency-based measurements without taking into account the specificities of the activities or sites involved limits the investigation of their impact on adolescent functioning and behaviors. Given the observed discrepancies in the literature concerning the measurement of social network site use among adolescents and their associated biases, the development of specific instruments is needed to advance in this important field of research.

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.

Reexamining Social Media and Socioemotional Well-Being Among Adolescents Through the Lens of the COVID-19 Pandemic: A Theoretical Review and Directions for Future Research

Social media has rapidly transformed the ways in which adolescents socialize and interact with the world, which has contributed to ongoing public debate about whether social media is helping or harming adolescents. The COVID-19 pandemic has magnified both the challenges and opportunities of adolescents' social-media use, which necessitates revisiting the conversation around teens and social media. In this article, we discuss key aspects of adolescent social-media use and socioemotional well-being and outline how these issues may be amplified in the context of the COVID-19 pandemic. We use this as a springboard to outline key future research directions for the field, with the goal of moving away from reductionist approaches and toward a more nuanced perspective to understand the who, what, and when of social-media use and its impact on adolescent well-being. We conclude with a commentary on how psychological science can inform the translation of research to provide evidence-based recommendations for adolescent social-media use.

Associations Between Social Media, Bedtime Technology Use Rules, and Daytime Sleepiness Among Adolescents: Cross-sectional Findings From a Nationally Representative Sample

BACKGROUND

Social media use is associated with poor sleep among adolescents, including daytime sleepiness, which affects adolescents' mental health. Few studies have examined the associations among specific aspects of social media, such as frequency of checking and posting, perceived importance of social media for social belonging, and daytime sleepiness. Identifying whether certain adolescents are more at risk or protected from the effects of social media on sleepiness may inform future interventions for social media, sleep, and mental health.

OBJECTIVE

This study aims to examine the association between social media use frequency and importance, daytime sleepiness, and whether the perceived importance of social media for social interactions and parental rules around bedtime technology moderated these relationships.

METHODS

This cross-sectional survey study was conducted with a sample of 4153 adolescents from across the United States. Qualtrics was used to collect data via panel recruitment from a national sample representing the US demographics of teens aged 12 to 17 years. Participants completed measures of daytime sleepiness, frequency of social media checking and posting, and the importance of social media for social interactions. Parents reported whether they had a household rule around bedtime media and screen use. Hierarchical regressions and moderation analyses were conducted, covarying for age, gender, and age at first smartphone use.

RESULTS

Participants had a mean age of 14.64 (SD 1.66) years in grades 6 to 12, 46.45% (1929/4153) identified as female, and 67.93% (2821/4153) identified as White. The results indicated that adolescents who posted (B=0.70, SE 0.04; P<.001) or checked (B=0.76, SE 0.04; P<.001) social media more frequently or who perceived social media to be more important for social belonging (B=0.36, SE 0.02; P<.001) had higher levels of daytime sleepiness. Moderation analyses indicated that the relationship between social media use frequency and daytime sleepiness was exacerbated by higher levels of perceived social media importance (B=0.04, SE 0.01; P<.001). Adolescents without household rules around bedtime technology use were more likely to be affected by social media checking (B=-0.34, SE 0.09; P<.001) and importance (B=-0.16, SE 0.04; P<.001) on daytime sleepiness.

CONCLUSIONS

The findings suggest that social media use frequency and perceived importance of social interactions are associated with daytime sleepiness among adolescents. It is important to consider youth's perceptions of social media when assessing the potential effects of social media use frequency on youth well-being. Furthermore, youth who did not have parental rules around bedtime technology use were most likely to be affected by social media use and perceived importance. The findings may extend to other mental health outcomes and may guide future prevention and intervention programs designed to improve social media use, sleep, and mental health.

Impact of high-risk glycemic control on habitual sleep patterns and sleep quality among youth (13-20 years) with type 1 diabetes mellitus compared to controls without diabetes

BACKGROUND

In type 1 diabetes mellitus (T1D), glycemic control and sleep have a bidirectional relationship, with unhealthy glycemic control impacting sleep, and inadequate sleep impacting diabetes management. Youth are at risk for poor quality sleep; however, little is known about sleep among youth with high-risk glycemic control.

OBJECTIVE

To assess differences in habitual sleep timing, duration, and quality among youth with T1D and controls.

SUBJECTS

Two-hundred-thirty youth (13-20 years): 64 with T1D (mean age 16.6 ± 2.1 years, 48% female, diabetes duration 7.5 ± 3.8 years, HbA1c 96 ± 18.0 mmol/mol [10.9 ± 1.7%]), and 166 controls (mean age 15.3 ± 1.5, 58% female).

METHODS

Comparison of data from two concurrent studies (from the same community) using subjective and objective methods to assess sleep in youth: Pittsburgh Sleep Quality Index evaluating sleep timing and quality; 7-day actigraphy measuring habitual sleep patterns. Regression analyses were used to compare groups.

RESULTS

When adjusted for various confounding factors, youth with T1D reported later bedtimes (+36 min; p < 0.05) and shorter sleep duration (-53 min; p < 0.05) than controls, and were more likely to rate subjective sleep duration (OR 3.57; 95% CI 1.41-9.01), efficiency (OR 4.03; 95% CI 1.43-11.40), and quality (OR 2.59; 95% CI 1.16-5.76) as "poor" (p < 0.05). However, objectively measured sleep patterns were similar between the two groups.

CONCLUSIONS

Youth with high-risk T1D experience sleep difficulties, with later bedtimes contributing to sleep deficit. Despite a lack of objective differences, they perceive their sleep quality to be worse than peers without diabetes.

It's not all about the likes: Social media affordances with nighttime, problematic, and adverse use as predictors of adolescent sleep indicators

OBJECTIVES

Adolescents are the most prominent users of social media, and their exposure to different contents, platforms, and types of use continues to develop. At the same time, sleep deprivation is on the rise, which may contribute to worsened health. Therefore, this cross-sectional study set out to examine the relationships among several social media affordances, habits of use, and sleep indicators in adolescents.

METHODS

Students ages 12-18 from a high school on Long Island, New York (N = 410) participated in an anonymous online survey focusing on various aspects of social media use as well as major sleep indicators (sleep displacement, presleep arousal, sleep quality, fatigue).

RESULTS

Snapchat was the only platform to predict a worsened sleep indicator (later bedtime) and it correlated with problematic, adverse, and nighttime use, possibly due to closer relationships among users. More viewing of posts of sports, friends, and family predicted better sleep. Additionally, nighttime social media use, problematic social media use, and adverse social media use each predicted at least one worsened sleep indicator in a hierarchical regression model.

CONCLUSIONS

Although some implications were positive, results provided insight into the cons of social media use. This study provides evidence that in order to understand the role of social media in the sleep-wake process, one must look at the specific affordances each platform provides and the different nighttime, problematic, and adverse habits of use that can arise. Documenting the variety of media use behaviors, however, introduces a considerable multiple testing threat to this research area.

Empathy and authenticity online: The roles of moral identity, moral disengagement, and parenting style

OBJECTIVES

Research suggests that the Internet could be considered an arena for both virtuous and vicious behaviors, with observations of enhanced perspective-taking and honest self-reflections occurring alongside evidence of cyberbullying and deceptive communications. In the current study, we explore the role of three widely recognized sources of moral behavior-moral identity, moral disengagement, and authoritative parenting-in predicting adolescents' online empathy and online authenticity.

METHOD

In total, 788 UK adolescents aged 11-18 years (66% male) completed measures of these key constructs.

RESULTS

Structural equation modeling results suggest that parental responsiveness and autonomy granting are positively related to adolescents' moral identity. In turn, moral identity was positively related to both online empathy and online authenticity. Having a stronger moral identity also meant that adolescents were less likely to morally disengage, and moral disengagement was negatively related to online authenticity in adolescent females. Partial invariance across gender and age was observed.

CONCLUSIONS

The findings indicate that moral identity encourages moral thoughts, feelings, and actions in the online environment, including being authentic and empathic. As the formation and accessibility of one's moral identity can be promoted, we discuss the implications of these findings for cultivating prosocial behavior in the online environment as well as future research avenues.

Fear of missing out: A brief overview of origin, theoretical underpinnings and relationship with mental health

Fear of missing out (FoMO) is a unique term introduced in 2004 to describe a phenomenon observed on social networking sites. FoMO includes two processes; firstly, perception of missing out, followed up with a compulsive behavior to maintain these social connections. We are interested in understanding the complex construct of FoMO and its relations to the need to belong and form stable interpersonal relationships. It is associated with a range of negative life experiences and feelings, due to it being considered a problematic attachment to social media. We have provided a general review of the literature and have summarized the findings in relation to mental health, social functioning, sleep, academic performance and productivity, neuro-developmental disorders, and physical well-being. We have also discussed the treatment options available for FoMo based on cognitive behavior therapy. It imperative that new findings on FoMO are communicated to the clinical community as it has diagnostic implications and could be a confounding variable in those who do not respond to treatment as usual.

Quantity, Content, and Context Matter: Associations Among Social Technology Use and Sleep Habits in Early Adolescents

PURPOSE

This study aimed to investigate the associations of social technology access and content, bedtime behaviors, parental phone restrictions, and timing and duration of sleep on school nights in early adolescents.

METHODS

Adolescents (aged 11-15 years, n = 772) in the Northeast U.S. completed an online survey during or after school in spring 2019.

RESULTS

Quantity of social technology use (e.g., checking social media, problematic internet behaviors, mobile use), content viewed (e.g., emotional or violent videos, risky behaviors), and social context (e.g., bedtime behaviors, starting social media at an early age) were significantly related to later bedtimes and fewer hours of sleep on school nights. Parental rules restricting mobile phone and online use before bed and obtaining a smartphone at a later age were associated with increased sleep time and earlier bedtime.

CONCLUSIONS

Quantity, content, and context of social technology use may affect sleep timing and duration in early adolescents.

Social media use and emotional and behavioural outcomes in adolescence: Evidence from British longitudinal data

We investigate the relationship between social media use and emotional and behavioural outcomes in adolescence using data from a large and detailed longitudinal study of teenagers from the UK. We use individual fixed effects, propensity score matching and treatment effects with Inverse Probability Weighted Regression Adjustment, controlling for a rich set of children's and family's characteristics and using comprehensive sensitivity analyses and tests to assess the potential role of unobserved variables. Our results show that prolonged use of social media (more than 4 hours per day) is significantly associated with poor emotional health and increased behavioural difficulties, and in particular decreased perception of self-value and increased incidence of hyperactivity, inattention and conduct problems. However, limited use of social media (less than 3 h per day) compared to no use has some moderate association with positive peer relationships.

Daytime and nighttime smartphone use: A study of associations between multidimensional smartphone behaviours and sleep among 24,856 Danish adults

The around-the-clock smartphone use and its relation to disturbed sleep is a public health concern. The present study aimed to quantify the effects of different dimensions of smartphone behaviours (frequency of daytime use, problematic use, use before sleep and use during the sleep period) on disturbed sleep (sleep quality and sleep quantity) and to disentangle their inter-relationship in a large population-based sample of 24,856 Danish adults aged ≥16 years. Data come from the SmartSleep Experiment, which is a web-based survey carried out using a citizen science approach. Tested items were used to evaluate smartphone use and disturbed sleep was evaluated with the Karolinska Sleep Questionnaire (KSQ). Linear and multinomial logistic regression was employed to evaluate the relationship between smartphone use and disturbed sleep. While several of the smartphone measures were associated with disturbed sleep when assessed individually, smartphone use during the sleep period was the only dimension consistently associated with disturbed sleep when assessed independently of other smartphone behaviours. Weekly smartphone use during the sleep period versus no use was associated on average with a 0.96 point higher score (95% confidence interval [CI] 0.90-1.02) on the 5-point KSQ scale, and a higher risk of both short (odds ratio [OR] 1.32, 95% CI 1.08-1.62) and long (OR 1.94, 95% CI 1.63-2.32) sleep duration. Smartphone use during the sleep period is the factor strongest associated to disturbed sleep relative to other dimensions of smartphone use. Recommendations around smartphone use during the sleep period are warranted in order to protect the fundamentally important biological and mental processes of sleep.

The role of social communication technologies in cognition and affect in older adults

Affect and cognition have both been associated with communication across one's social network during ageing. Thus, it is important to consider how communication varies by different aspects of one's social network, and by communication mode, including phone, email and social media. This study aimed to investigate the relationship between technology-mediated communication, depression and an executive function-related fluid-reasoning measure among older adults. Data were drawn from the Health and Retirement dataset's 2016 wave. Hierarchical regression analyses were conducted to examine the link between communication modes (phone, email and social media) with children, family and friends with a fluid-reasoning cognition measure and Center for Epidemiologic Studies Depression Scale, controlling for demographic covariates, among 3,798 older American adults. Phone and email communication, but not social media, were significantly related to depression and cognition. The model fit was considerably stronger for the analyses with cognition than depression. Curvilinear associations were found for communication via phone and email with cognition, suggesting moderate amounts of communication by phone and email across social groups were most closely linked with higher scores on fluid reasoning. For depression, curvilinear relationships were found for talking on the phone with family and friends, and emailing for children and family, indicating that moderate communication levels revealed the lowest depression levels. Implications for how older adults’ social support may contribute to depression and cognition status are discussed.