Understanding Links Between Social Media Use, Sleep and Mental Health: Recent Progress and Current Challenges

Social determinants of health at multiple socio-ecological levels and sleep health in adolescents: A scoping review

Heightened sleep disturbances occur in adolescence, yet existing research has predominantly focused on individual factors linked to poor sleep and a limited set of sleep outcomes, such as sleep duration and timing. This scoping review aimed to identify the multilevel social determinants of adolescent sleep health across domains, including regularity, satisfaction/quality, alertness/sleepiness, timing, efficiency/continuity, duration, and behavior. Social determinants of health (SDoH) were categorized through a socio-ecological lens, while sleep health domains were aligned with the RU-SATED and Peds B-SATED sleep health frameworks. A systematic database search resulted in 57 studies of non-clinical adolescent and young adult populations (age 10-24 y) in North America, published between 2014 and 2022. Research gaps include 1) absence of other sleep health domains other than duration which is predicated on the included studies using a limited set of sleep outcome measures rather than a more comprehensive measurement strategy that align with the multifaceted domains of sleep health, and 2) inconsistent terminology and/or absent conceptual and operational definitions of subjective sleep reports. The findings highlight the multilevel SDoH that influence adolescent sleep health, underscoring the need for more comprehensive research. Such efforts will facilitate the development of interventions focused on fostering optimal adolescent sleep health this populations.

Cross-lagged panel analysis of the relationship between social networking sites use (SNSU) and sleep problems among university students

BACKGROUND

Sleep remains a cornerstone for sociopsychological well-being, but it is in decline, especially among today's youth. Simultaneously, engagement with social media is escalating. Research has identified a link between social networking sites use and sleep problems; however, the nature and direction of the relations remain obscure. Therefore, it is imperative to pursue longitudinal research to elucidate this correlation and guide suitable intervention practices. The present study aimed to examine the reciprocal relationship between social networking sites use and sleep problems.

METHODS

By adopting a three-stage cross-lagged design across four time points, assessment results from 194 university students were gathered at four-week intervals.

RESULTS

The findings indicate that (1) Social networking sites use was significantly greater in females than in males at all four time points, while sleep problems were significantly greater in females than in males at Time 3 and Time 4. (2) Sleep problems at the second time point serve as a positive predictor of subsequent social networking sites use at the third time point. (3) Social networking sites use at the initial time point could marginally significantly predict sleep problems at the fourth time point.

CONCLUSIONS

This study elucidates the dynamic relationship between social networking sites use and sleep problems across an academic term, suggesting the need for temporally tailored interventions.

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 mediating effect of after-midnight use of digital media devices on the association of internet-related addictive behavior and insomnia in adolescents

Background

There is evidence that overexposure to digital media devices (DMD) can not only lead to addictive patterns of internet use, but also cause insomnia symptoms. The aim of this cross-sectional study among adolescents is to provide an estimate of the prevalence of sleep impairments and to explore the mediating role of after-midnight use of DMD between internet-related addictive behavior (IRAB) and insomnia.

Methods

2,712 school students from Styrian schools participated in a population-representative online survey in a supervised school setting in spring 2022. School students were screened using established and validated scales. Data analysis was carried out using multiple imputation, linear multilevel regression and mediation analysis.

Results

Prevalence estimation indicates high proportions of clinically relevant moderate [12.6% (11.3%; 14.1%)] and severe [3.6% (2.9%; 4.4%)] insomnia, with an additional 30.6% (29.0%; 32.2%) at subthreshold level. DMD are typically used after midnight an average of 1.66 (1.58; 1.75) evenings with subsequent school day per school week. Linear multilevel regression analysis shows significant associations for sleep disparities as outcome variable e.g., with generalized anxiety [b = 0.329 (0.287; 0.371)], after-midnight use of DMD [b = 0.470 (0.369; 0.572)] and IRAB [b = 0.131 (0.097; 0.165)]. Mediation analysis shows a mediated proportion of 18.2% (13.0%; 25.0%) of the association of IRAB and insomnia by after-midnight use of DMD [Indirect effect: b = 0.032 (0.023; 0.040), direct effect: b = 0.127 (0.083; 0.170)].

Conclusions

Although the cross-sectional nature of this study limits causal inference, the results indicate a need for policies, which are already in preparation in Styria as part of a respective action plan.

Artificial intelligence and social media on academic performance and mental well-being: Student perceptions of positive impact in the age of smart learning

The advancement of artificial intelligence (AI) and the ubiquity of social media have become transformative agents in contemporary educational ecosystems. The spotlight of this inquiry focuses on the nexus between AI and social media usage in relation to academic performance and mental well-being, and the role of smart learning in facilitating these relationships. Using partial least squares-structural equation modeling (PLS-SEM) on a sample of 401 Chinese university students. The study results reveal that both AI and social media have a positive impact on academic performance and mental well-being among university students. Furthermore, smart learning serves as a positive mediating variable, amplifying the beneficial effects of AI and social media on both academic performance and mental well-being. These revelations contribute to the discourse on technology-enhanced education, showing that embracing AI and social media can have a positive impact on student performance and well-being.

What's your religious coping profile? Differences in religious orientation and subjective sleep among religious coping groups in the United States

OBJECTIVES

To determine various profiles/subgroups of religious copers based on indices of positive and negative religious coping; and to determine whether religious copers differ in their religious orientations, subjective sleep characteristics, and strategies used to cope with sleep problems.

METHOD

Six hundred and ninety-five adults (77.3% female, 70.4% White) in the United States completed a 20-minute online questionnaire in January 2020.

RESULTS

Results of a latent profile analysis, based on 8 indicators of positive and negative religious coping, indicated a 5-class solution: (i) "Absent" (n = 101, 14.5%); (ii) "Anxious" (n = 122, 17.6%); (iii) "Ambivalent" (n = 101, 14.5%); (iv) "Secure" (n = 200, 28.8%); and (v) "Conflicted" copers (n = 171, 24.6%). Results of MANOVA tests indicated that Secure copers reported the least religious doubt and highest religious-based social support. Conflicted and Anxious copers had the worst sleep quality, while Secure, Ambivalent, and Absent copers had healthier sleep profiles. In terms of strategies used to cope with sleep problems, Secure and Conflicted copers reported the greatest use of prayer and meditation, while the use of technology was most prevalent among Conflicted and Anxious copers.

CONCLUSIONS

Individuals differ in their combined use of positive and negative religious coping, which is related to differences in their religious orientation, sleep characteristics, and strategies used to cope with sleep problems. Religious leaders should be mindful of the diverse ways in which religious coping strategies are harnessed to effectively cater to the unique religious and sleep needs of their members.

The role of sleep in prospective associations between parent reported youth screen media activity and behavioral health

BACKGROUND

Screen media activity (SMA) can negatively affect youth behavioral health. Sleep may mediate this association but has not been previously explored. We examined whether sleep mediated the association between SMA and youth behavioral health among a community sample.

METHOD

Parents completed questions about their child (N = 564) ages 3-17 at Wave 1, Wave 2 (4-8 months later), and Wave 3 (12 months later). Path analyses were conducted to examine links between Wave 1 SMA and Wave 3 behavioral health problems (i.e., internalizing, externalizing, attention, peer problems) through Wave 2 sleep disturbance and duration.

RESULTS

SMA was significantly associated with greater sleep disturbance, β = .11, 95% CI [.01, .21] and shorter sleep duration, β = -.16 [-.25, -.06], and greater sleep disturbance was associated with worse youth behavioral health across internalizing, β = .14 [.04, .24], externalizing, B = .23 [.12, .33], attention, β = .24 [.15, .34], and peer problems, β = .25 [.15, .35]. Longer sleep duration was associated with more externalizing, β = .13 [.04, .21], and attention problems, β = .12 [.02, .22], and fewer peer problems, β = -.09 [-.17, -.01], but not with internalizing problems. Lastly, there was a direct effect of SMA on peer problems, β = -.15 [-.23, -.06] such that higher SMA that does not impact sleep may have a positive impact on reducing peer problems.

CONCLUSIONS

Sleep (i.e., disturbances and shorter duration) may partially account for the small associations observed between SMA and worse behavioral health in youth. To continue expanding our understanding, future research should utilize more diverse representative samples, use objective measures of SMA and sleep, and examine other relevant aspects of SMA, including content, device type, and timing of use.

Adolescents' interactive electronic device use, sleep and mental health: a systematic review of prospective studies

Optimal sleep, both in terms of duration and quality, is important for adolescent health. However, young people's sleeping habits have worsened over recent years. Access to and use of interactive electronic devices (e.g., smartphones, tablets, portable gaming devices) and social media have become deep-rooted elements of adolescents' lives and are associated with poor sleep. Additionally, there is evidence of increases in poor mental health and well-being disorders in adolescents; further linked to poor sleep. This review aimed to summarise the longitudinal and experimental evidence of the impact of device use on adolescents' sleep and subsequent mental health. Nine electronic bibliographical databases were searched for this narrative systematic review in October 2022. Of 5779 identified unique records, 28 studies were selected for inclusion. A total of 26 studies examined the direct link between device use and sleep outcomes, and four reported the indirect link between device use and mental health, with sleep as a mediator. The methodological quality of the studies was generally poor. Results demonstrated that adverse implications of device use (i.e., overuse, problematic use, telepressure, and cyber-victimisation) impacted sleep quality and duration; however, relationships with other types of device use were unclear. A small but consistent body of evidence showed sleep mediates the relationship between device use and mental health and well-being in adolescents. Increasing our understanding of the complexities of device use, sleep, and mental health in adolescents are important contributions to the development of future interventions and guidelines to prevent or increase resilience to cyber-bullying and ensure adequate sleep.

On the Importance of Mental Health in STEM

From homework to exams to proposal deadlines, STEM academia bears many stressors for students, faculty, and administrators. The increasing prevalence of burnout as an occupational phenomenon, along with anxiety, depression, and other mental illnesses in the STEM community is an alarming sign that help is needed. We describe common mental illnesses, identify risk factors, and outline symptoms. We intend to provide guidance on how some people can cope with stressors while also giving advice for those who wish to help their suffering friends, colleagues, or peers. We hope to spark more conversation about this important topic that may affect us all-while also encouraging those who suffer (or have suffered) to share their stories and serve as role models for those who feel they cannot speak.

Association between media exposure and behavioral problems among preschool children

Background

The prevalence of behavioral problems among preschool children is remarkably increasing in the clinical setting.

Aim

The current study aimed to investigate the association between media exposure and behavioral problems among preschool children.

Methods

This survey study recruited 560 children from 10 nurseries selected randomly, located in El-Mansoura, Egypt. Tools included socio-demographic characteristics the Media Exposure Questionnaire and the Conners Comprehensive Behavior Rating Scales (CBRS-48).

Results

The participants were exposed to media for an average of 105.84 min per day and displayed moderate levels in all subscales of CBRS-48. The duration of media exposure was significantly correlated to the hyperactivity index, learning problems, hyperactivity/impulsivity, conduct problem, anxiety, and psychosomatic problems (r = 0.372, 0.356, 0.323, 0.306, 0.298, 0.291, and 0.255, respectively).

Conclusion

The duration of media exposure was significantly correlated to the subscales of CBRS-48.

Implication for nursing practice

Preschool children should be engaged in concrete activities and social interactions that may lessen negative media effects such as hyperactivity, learning problems, hyperactivity/impulsivity, conduct problem, anxiety, and psychosomatic problems.

Mixed Signals in Child and Adolescent Mental Health and Well-Being Indicators in the United States: A Call for Improvements to Population Health Monitoring

Policy Points Social indicators of young peoples' conditions and circumstances, such as high school graduation, food insecurity, and smoking, are improving even as subjective indicators of mental health and well-being have been worsening. This divergence suggests policies targeting the social indicators may not have improved overall mental health and well-being. There are several plausible reasons for this seeming contradiction. Available data suggest the culpability of one or several common exposures poorly captured by existing social indicators. Resolving this disconnect requires significant investments in population-level data systems to support a more holistic, child-centric, and up-to-date understanding of young people's lives.

Sleep Deprivation and Insomnia in Adolescence: Implications for Mental Health

Sleep changes significantly throughout the human lifespan. Physiological modifications in sleep regulation, in common with many mammals (especially in the circadian rhythms), predispose adolescents to sleep loss until early adulthood. Adolescents are one-sixth of all human beings and are at high risk for mental diseases (particularly mood disorders) and self-injury. This has been attributed to the incredible number of changes occurring in a limited time window that encompasses rapid biological and psychosocial modifications, which predispose teens to at-risk behaviors. Adolescents’ sleep patterns have been investigated as a biunivocal cause for potential damaging conditions, in which insufficient sleep may be both a cause and a consequence of mental health problems. The recent COVID-19 pandemic in particular has made a detrimental contribution to many adolescents’ mental health and sleep quality. In this review, we aim to summarize the knowledge in the field and to explore implications for adolescents’ (and future adults’) mental and physical health, as well as to outline potential strategies of prevention.

Daily and average associations of physical activity, social media use, and sleep among adolescent girls during the COVID-19 pandemic

Adolescents' daily lives have been disrupted during the Coronavirus disease 2019 (COVID-19) pandemic. It remains unclear how changes in adolescents' daily physical and social behaviours affect their sleep. The present study examined the daily and average effects of physical activity and social media use (i.e., video chatting, texting, and social networking sites) on adolescent girls' sleep during the COVID-19 pandemic. Adolescent girls aged 12-17 years (N = 93; 69% White) from a larger longitudinal study completed a 10-day daily diary protocol during state-mandated stay-at-home orders. Girls reported on daily sleep (duration, timing, quality), physical activity, and social media use during COVID-19. Multilevel modelling was used to examine the within- and between-person effects of physical activity and social media on sleep duration, timing, and quality during the 10-day period. Between-person associations indicate that youth with greater social media use (texting, video chatting, and social networking) and less physical activity had later sleep timing across the 10-day study period. Only video chatting was associated with shorter sleep duration. There were no within-person effects of physical activity or social media activities on sleep outcomes. Findings indicate that physical activity and social media use may impact later adolescent sleep timing during the COVID-19 pandemic. It will be critical for research to examine the potential long-term costs of delayed sleep timing, and whether targeting specific youth behaviours associated with sleep and circadian disruption improve mental and physical health during the COVID-19 pandemic and beyond.

Estimation of Bedtimes of Reddit Users: Integrated Analysis of Time Stamps and Surveys

BACKGROUND

Individuals with later bedtimes have an increased risk of difficulties with mood and substances. To investigate the causes and consequences of late bedtimes and other sleep patterns, researchers are exploring social media as a data source. Pioneering studies inferred sleep patterns directly from social media data. While innovative, these efforts are variously unscalable, context dependent, confined to specific sleep parameters, or rest on untested assumptions, and none of the reviewed studies apply to the popular Reddit platform or release software to the research community.

OBJECTIVE

This study builds on this prior work. We estimate the bedtimes of Reddit users from the times tamps of their posts, test inference validity against survey data, and release our model as an R package (The R Foundation).

METHODS

We included 159 sufficiently active Reddit users with known time zones and known, nonanomalous bedtimes, together with the time stamps of their 2.1 million posts. The model's form was chosen by visualizing the aggregate distribution of the timing of users' posts relative to their reported bedtimes. The chosen model represents a user's frequency of Reddit posting by time of day, with a flat portion before bedtime and a quadratic depletion that begins near the user's bedtime, with parameters fitted to the data. This model estimates the bedtimes of individual Reddit users from the time stamps of their posts. Model performance is assessed through k-fold cross-validation. We then apply the model to estimate the bedtimes of 51,372 sufficiently active, nonbot Reddit users with known time zones from the time stamps of their 140 million posts.

RESULTS

The Pearson correlation between expected and observed Reddit posting frequencies in our model was 0.997 on aggregate data. On average, posting starts declining 45 minutes before bedtime, reaches a nadir 4.75 hours after bedtime that is 87% lower than the daytime rate, and returns to baseline 10.25 hours after bedtime. The Pearson correlation between inferred and reported bedtimes for individual users was 0.61 (P<.001). In 90 of 159 cases (56.6%), our estimate was within 1 hour of the reported bedtime; 128 cases (80.5%) were within 2 hours. There was equivalent accuracy in hold-out sets versus training sets of k-fold cross-validation, arguing against overfitting. The model was more accurate than a random forest approach.

CONCLUSIONS

We uncovered a simple, reproducible relationship between Reddit users' reported bedtimes and the time of day when high daytime posting rates transition to low nighttime posting rates. We captured this relationship in a model that estimates users' bedtimes from the time stamps of their posts. Limitations include applicability only to users who post frequently, the requirement for time zone data, and limits on generalizability. Nonetheless, it is a step forward for inferring the sleep parameters of social media users passively at scale. Our model and precomputed estimated bedtimes of 50,000 Reddit users are freely available.

Late-Night Digital Media Use in Relation to Chronotype, Sleep and Tiredness on School Days in Adolescence

Previous studies on late-night digital media use and adolescent sleep have not considered how chronotype, a natural tendency to be awake or asleep at certain time, is associated with this relationship. Therefore, the nature of the relationship between late-night digital media use and sleep in different chronotypes remains still unknown. The sample consisted of 15-20-year-old Finnish adolescents (n = 1084, mean age = 16.9 years, SD = 0.93, 45.7% female). This study examined whether chronotype, measured as diurnal type and midpoint of sleep, was associated with the time of evening/night when digital media was used. Associations between the use of different forms of digital media and sleep quality, sleep duration and tiredness on school days were also investigated. Finally, the mediation effect of late-night digital media use to the relationship between chronotype and sleep was examined. Generalized linear models showed that evening chronotype, weekend midpoint of sleep, and the time of evening or night at which digital media was used were associated with more insufficient sleep and tiredness, lower sleep quality and shorter sleep duration on school days. The total use of all media forms, i.e., late-night digital media for music, movies/series, social media, and studying, were associated with shorter sleep duration and more insufficient sleep and daytime tiredness. Late-night social media use also mediated the association between diurnal type and sleep quality. Watching movies or listening to music late at night was the strongest mediator of the association between diurnal type and sleep and tiredness. The most prominent finding shows that of the all different media forms, watching movies or listening to music late at night were associated with increased daytime tiredness, whereas late social media use was associated with poor sleep quality. These interactions were pronounced especially for evening-types. The findings of the current study suggest that the negative effects of late-night media use are reflected especially in sleep quality and daytime tiredness among evening-types during adolescence.

Digital cognitive behavior therapy for insomnia improving sleep quality: a real-world study

BACKGROUND

Digital cognitive behavior therapy for insomnia (dCBT-I) is an effective treatment in alleviating insomnia. This study examined the effect of dCBT-I for improving sleep quality in patients with insomnia complaints from a clinical population in a real-world setting.

METHODS

The study included 6,002 patients aged 18 years and above with primary complaints of dissatisfying sleep from a sleep clinic in a psychiatric hospital from November 2016 to April 2021. Patients were diagnosed with insomnia, anxiety disorders, or anxiety comorbid with insomnia or depression according to ICD-10. A mobile app was developed for self-reported assessment and delivering dCBT-I interventions and treatment prescriptions to participants. The primary outcome was change in global sleep quality measured by the Pittsburgh Sleep Quality Index (PSQI). At 8- and 12-week follow-up, 509 patients were reassessed. Data were analyzed with non-parametric tests for repeated measures.

RESULTS

Patients treated with dCBT-I monotherapy were younger, with a more frequent family history of insomnia compared to those with medication monotherapy and those with combined dCBT-I and medication therapy. Improvements of sleep quality from baseline to 8-week follow-up were significant in each treatment type. Compared to 8-week follow-up, PSQI scores at 12-week were significantly decreased in the depression group receiving combined therapy and in the anxiety group treated with dCBT-I monotherapy and with combined therapy. A time-by-treatment interaction was detected in anxiety patients indicating differential reduction in PSQI scores over time between different treatment options.

CONCLUSION

The current findings suggest dCBT-I is a practical and effective approach for lessening insomnia symptoms, especially for patients with anxiety symptoms suggesting with a more extended intervention period (i.e., 12 weeks).

TRIAL REGISTRATION

Chinese Clinical Trial Registry (ChiCTR1900022699).

"Leave your smartphone out of bed": quantitative analysis of smartphone use effect on sleep quality

Smartphones have become an integral part of people's everyday lives. Smartphones are used across all household locations, including in the bed at night. Smartphone screens and other displays emit blue light, and exposure to blue light can affect one's sleep quality. Thus, smartphone use prior to bedtime could disrupt the quality of one's sleep, but research lacks quantitative studies on how smartphone use can influence sleep. This study combines smartphone application use data from 75 participants with sleep data collected by a wearable ring. On average, the participants used their smartphones in bed for 322.8 s (5 min and 22.8 s), with an IQR of 43.7-456. Participants spent an average of 42% of their time in bed using their smartphones (IQR of 5.87-55.5%). Our findings indicate that smartphone use in bed has significant adverse effects on sleep latency, awake time, average heart rate, and HR variability. We also find that smartphone use does not decrease sleep quality when used outside of bed. Our results indicate that intense smartphone use alone does not negatively affect well-being. Since all smartphone users do not use their phones in the same way, extending the investigation to different smartphone use types might yield more information than general smartphone use. In conclusion, this paper presents the first investigation of the association between smartphone application use logs and detailed sleep metrics. Our work also validates previous research results and highlights emerging future work.

Digital addiction, academic performance, and sleep disturbance among nursing students

PURPOSE

This study aimed to examine the relationship between digital addiction, academic performance, and sleep disturbance among nursing students.

DESIGN AND METHODS

The study was a correlational and cross-sectional design. Four hundred twenty-nine nursing students were enrolled in this study.

FINDINGS

There was a positive significant relationship between the mean Sleep Disturbance (SD) T-scores and Digital Addiction Scale (DAS) scores (r = 0.203, p < 0.01). Furthermore, a positive correlation was found between the mean SD T-scores and DAS subscale scores (p < 0.01) PRACTICE IMPLICATIONS: This study demonstrated that digital addiction had an influence on sleep disturbance. It is recommended that nursing students be provided with training to inform them about negative effects of digital addiction.

The Associations between Daytime Physical Activity, While-in-Bed Smartphone Use, Sleep Delay, and Sleep Quality: A 24-h Investigation among Chinese College Students

Bedtime smartphone use is an emerging issue that threatens the sleep health of children and young adults. Physical activity can have numerous health benefits, including reducing problematic or addictive behavior. However, the role of daily physical activity in reducing bedtime smartphone use is understudied. Hence, we conducted a one-day cross-sectional on the weekend (21-22 May 2021) to investigate the associations between daytime physical activity, bedtime smartphone use, and sleep quality. A total of 828 college students were recruited in two colleges. Their daytime physical activity indices were captured, including self-reported physical activity duration, intensity, volume, and smartphone-monitored walking steps. The participants reported whether they used smartphone while lying in bed (before sleep) and whether they delayed sleep due to smartphone use. Their while-in-bed screen time (duration) and subsequent sleep quality were also measured with self-report and a numeric rating scale, respectively. The results suggested that daytime physical activity duration was associated with lower chances of while-in-bed smartphone use (OR = 0.907, p = 0.019) and smartphone-related sleep delay (OR = 0.932, p = 0.014). However, no significant association was found between physical activity indices and while-in-bed screen time or sleep quality. These findings may contribute to understanding the reciprocal relationship between physical activity and smartphone use and highlighting the potential of controlling problematic bedtime smartphone use through daily physical activity. Future research is warranted to examine the associations with extra objective measures.

Characteristics of Sleep Patterns in Adolescents: Comparisons between Saudi Arabia and the UK

There are concerns regarding sleep deprivation among adolescents, especially with mounting evidence for the importance of sleep during puberty, and its effects on health and families. The present study aimed to characterise sleep in typical development (TD) adolescents in Saudi Arabia, and compare their sleep profiles to TD adolescents in the UK, to evaluate sleep patterns in adolescents in Saudi Arabia, and to examine the relationship between sleep patterns and the use of social media in both groups. Findings from the current study reported a shorter sleep duration for the Saudi Arabia group than in previous studies and the UK group, which may be attributed to the lack of sleep hygiene practised in Saudi Arabia. Multiple analysis of variance results found significant differences in daytime sleepiness (p < 0.001) and a preference for morningness/eveningness (p < 0.001) between Saudia Arabia and UK adolescents. Statistically significant negative correlations (p > 0.05) between the duration of social media usage and sleep duration were found in both the Saudi Arabia and UK adolescents, where a lower number of sleep hours was observed with a higher duration of social media use. This study fills a gap in the research of sleep in Saudi Arabia in adolescents, and offers important insights on the comparison in sleep habits between Saudi Arabia and UK adolescents.

Resilience to suicidal behavior in young adults: a cross-sectional study

Despite decades of research on suicide risk factors in young people, there has been no significant improvement in our understanding of this phenomenon. This study adopts a positive deviance approach to identify individuals with suicide resilience and to describe their associated psychological and sociodemographic profiles. Australian young adults aged 18–25 years with suicidal thoughts (N = 557) completed an online survey covering sociodemographic, mental health status, emotion regulatory and suicide-related domains. Latent class analysis was used to identify the individuals with suicide resilience. The predictors of suicide resilience were assessed using logistic regression models. The results suggested that one in ten (n = 55) met the criteria for suicide resilience. Factors that had a significant association with suicide resilience included greater cognitive flexibility, greater self-efficacy in expressing positive affect, reduced use of digital technology and less self-harm and substance use as a response to emotional distress. This study identified the factors that may protect young adults with suicidal thoughts from progressing to suicide attempts. Suicide prevention programs might be optimised by shifting from a deficit-based to a strength-based approach through promoting cognitive flexibility, self-efficacy and reducing maladaptive coping.

Religious Involvement and Sleep Among Older African Americans

Objective: This study sought to determine whether religious involvement is associated with sleep quality in a nationally representative sample of older African Americans. Methods: The analytic sample included African American respondents aged 55+ from the National Survey of American Life-Reinterview (N = 459). Religious involvement variables included service attendance, reading religious texts, watching religious television programs, listening to religious radio programs, prayer, and subjective religiosity. Sleep outcomes were restless sleep and sleep satisfaction. Multiple linear regression analysis was used. Results: Watching religious television programs was associated with more restless sleep. Respondents who attended religious services less than once a year, at least once a week, or nearly every day reported greater sleep satisfaction than respondents who never attended religious services. Subjective religiosity was associated with lower sleep satisfaction. Discussion: The findings demonstrate the importance of examining a variety of religious involvement domains, which could point to different explanatory pathways between religious involvement and sleep.

Equal Benefits? An Examination of the Potential Consequences of Later School Start Times for Adolescents and Their Mental Health

BACKGROUND

Given the documented benefits of later school start times on adolescents' mental health, the aim of the current study was to examine if the association between school start times and depressive symptoms differed across adolescents from families of different socioeconomic status levels.

METHODS

Using a cross-sectional design, the current study incorporated an online survey for high school students and their parents across the United States, with average sleep duration measured through a 7-day sleep diary. A total of 193 adolescent (Mean_age  = 15.7 years old, SD = .94; 54.4% female; 71% white) and parent (Mean_age  = 47.6 years old, SD = 5.4; 80% female; 79% white) dyads participated. Adolescents reported on depressive symptoms, sleep quality and duration, chronotype, and demographic covariates; parents reported on school start times and socioeconomic status.

RESULTS

Results suggested that only in adolescents from higher socioeconomic status families (+1 SD) did the association between later start times and fewer depressive symptoms emerge as significant.

CONCLUSIONS

Although more school start times research is needed to understand its impact across diverse groups of students, current findings suggest a disproportionate benefit of reduced depression for youth from families of higher socioeconomic status with having a later start time.

Social Media Reinvented: Can Social Media Help Tackle the Post-Pandemic Mental Health Onslaught?

Social media plays an omnipresent role in our modern lives, influencing every aspect of it, mental health being one of them. There has been increased focus on social media in recent times, especially its role in the ongoing coronavirus disease 2019 (COVID-19) pandemic. With various forms of social media, we hope to review the impact of various online platforms and emphasize their usage during the novel COVID-19 pandemic, which has led to a universal feeling of consternation throughout the world, mainly as a consequence of social distancing norms and cancellations of schools and places of work, which has affected not only the livelihood but also the way of life of scores of people. Despite the negative press social media often receives in the field of mental health, there are opportunities to utilize its impact positively. This is not limited to connecting persons to mental health resources, spreading information about available COVID-19 treatment, and allowing social connection across the world. In this article, we review the renewed role that social media has had and future possibilities for its usage in the fight against the current pandemic.

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.

Depressive Symptom and Associated Factors Among School Adolescents of Urban, Semi-Urban and Rural Areas in Bangladesh: A Scenario Prior to COVID-19

Background: The purpose of this study was to investigate the prevalence of depressive symptom and the factors associated with this condition among urban, semi-urban and rural adolescents in the Dhaka district of Bangladesh. Methods: A cross sectional study using two stage cluster sampling procedure was performed. A self-administered questionnaire was conveyed to 2,355 adolescents from nine secondary schools of Dhaka district of Bangladesh. Of the respondents, 2,313 completed the nine item Patient Health Questionnaire (PHQ-9). Besides, sociodemographic information, self-reported body image as well as modification of Leisure Time Exercise Questionnaire (LTEQ) and WHO Global PA Questionnaire (GPAQ) were used to determine the sociodemographic and lifestyle factors associated with depressive symptom among adolescents. Results: A total of 30.1% adolescents were found to be suffering from moderate to severely severe depressive symptom. Females (60.8%) were found suffering significantly more than males (39.2%). Sociodemographic factors, for example, residential setting and family size were found significantly associated with depressive symptom among adolescents. Adjusted estimate of logistic regression shows that physical inactivity (AOR: 1.44; 95% CI: 1.14-1.84), >2 h/day screen time (AOR: 1.68; 95% CI: 1.39-2.03), sleep dissatisfaction (AOR: 3.23; 95% CI: 2.64-3.96), and underweight body image perception (AOR: 2.30; 95% CI: 1.70-3.13) were significantly associated with depressive symptom among adolescents. Conclusions: Among urban, semi-urban and rural school adolescents in Dhaka, Bangladesh, depressive symptom is quite prevalent. To lessen the spread of depressive symptom among Bangladeshi adolescents, urgent steps should therefore be taken.

Social media use and social connectedness among adolescents in the United Kingdom: a qualitative exploration of displacement and stimulation

Background

Connectedness to family and peers is a key determinant of adolescent mental health. Existing research examining associations between social media use and social connectedness has been largely quantitative and has focused primarily on loneliness, or on specific aspects of peer relationships. In this qualitative study we use the displacement hypothesis and the stimulation hypothesis as competing theoretical lenses through which we examine the complex relationship between social media use and feelings of connectedness to family and peers.

Methods

In-depth paired and individual interviews were conducted with twenty-four 13–14-year-olds in two inner-city English secondary schools. Interviews were transcribed verbatim, coded and thematically analysed.

Results

Analysis identified four themes: (i) ‘Displacement of face-to-face socialising’ (ii) ‘Social obligations’ (iii) ‘(Mis)Trust’ and (iv) ‘Personal and group identity’. Results indicated stronger support for the stimulation hypothesis than the displacement hypothesis. We found evidence of a complex set of reciprocal and circular relationships between social media use and connectedness consistent with a ‘rich-get-richer’ and a ‘poor-get-poorer’ effect for family and peer connectedness – and a ‘poor-get-richer’ effect in peer connectedness for those who find face-to-face interactions difficult.

Conclusion

Our findings suggest that parents should take a measured approach to social media use, providing clear guidance, promoting trust and responsible time management, and acknowledging the role of social media in making connections. Understanding and sharing in online experiences is likely to promote social connectedness. Supporting young people to negotiate breathing space in online interactions and prioritising trust over availability in peer relationships may optimise the role of social media in promoting peer connectedness.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-021-11802-9.

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.

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.

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.

Trading likes for sleepless nights: A lifespan investigation of social media and sleep

OBJECTIVES

The present study sought to examine the association between social media use and sleep and whether the association differed by age.

METHODS

Total 3,284 adults (M age = 42.74, SD = 16.72; 48.5% female; 80.8% White) participated in an online study of sleep and health across the lifespan. Sleep quality and duration were assessed using the Pittsburg Sleep Quality Index (PSQI). Participants reported the total time they spent using social media daily.

RESULTS

Greater social media use was associated with poorer sleep quality (P < .001) and shorter sleep duration (P= .002). Age moderated the relationship between social media use and sleep quality (P= .006), as well as duration (P= .001). The strength of the associations between social media and sleep increased with age.

CONCLUSION

The findings highlight potential adverse sleep outcomes associated with social media use. They also provide preliminary evidence suggesting the need for further exploration of age-related processes involved in social media use and sleep.

Effect of COVID-19-Related Home Confinement on Sleep Quality, Screen Time and Physical Activity in Tunisian Boys and Girls: A Survey

COVID-19 home confinement has led to a stressful situation for children around the world and affected their lifestyle. The present study aimed to investigate the effect of these restrictions on sleep quality, screen time (ST) and physical activity (PA) in Tunisian children with a special focus on gender differences. An online survey was launched in April 2020. Questions were presented in a differential format, with expected responses related to "before" and "during" confinement. Participants (52 boys and 48 girls, age: 8.66 ± 3.3 years) responded to the Pittsburgh Sleep Quality Index (PSQI), the digital media use, and the Ricci and Gagnon sedentary behavior questionnaires. Findings revealed that COVID19 home confinement had a negative effect on all the considered parameters (p < 0.05). Significant effects of gender were found on sleep disturbances (p = 0.016, np2 = 0.05), subjective sleep quality (p < 0.01, np2 = 0.07), global score of PSQI (p = 0.01, np2 = 0.01) and nocturnal and global screen time (p < 0.001, np2 = 0.09) with poorer sleep and higher screen time in girls compared to boys during home confinement. A significant correlation was shown between Global ST and PSQI score (r = 0.39, p < 0.001). Programs of PA for children and sensitization campaigns against the use of screens have been deemed urgent with special focus oriented to girls.

Nodding off but can't disconnect: development and validation of the iNOD index of Nighttime Offline Distress

BACKGROUND

There is a pressing need to update sleep models, education and treatment to better reflect the realities of sleep in a 24/7 connected social world. Progress has been limited to date by available measurement tools, which have largely focused on the frequency or duration of individuals' social media use, without capturing crucial sleep-relevant aspects of this inherently social and interactive experience.

METHODS

Survey data from 3008 adolescents (aged 10-18 years) was used to rigorously develop and validate a new self-report measure that quantifies difficulty disengaging from social media interactions at night: the index of Nighttime Offline Distress (iNOD). Exploratory and Confirmatory Factor analyses in a random split sample produced a ten-item two-factor solution, with subscales capturing concerns about Staying Connected and Following Etiquette (Cronbach's alphas = 0.91 and 0.92 respectively).

RESULTS

Those with higher scores on these subscales tended to report using social media for longer after they felt they should be asleep (r_s = 0.41 and 0.26, respectively), shorter sleep duration (r_s = -0.24 and -0.17, respectively) and poorer sleep quality (r_s = -0.33 and -0.31, respectively). Results also pointed towards a potentially fragmented process of sleep displacement for those who may struggle to disconnect - and to stay disconnected - from social interactions in order to allow sufficient uninterrupted sleep opportunity.

CONCLUSIONS

These findings can inform current models for understanding normal and disordered sleep during adolescence, whilst highlighting specific social concerns as important potential targets for sleep education efforts.

Social Media Use and Adolescents' Sleep: A Longitudinal Study on the Protective Role of Parental Rules Regarding Internet Use before Sleep

The popularity of social media use among adolescents has raised concerns about the potentially harmful effects of social media use on adolescents' sleep. Since longitudinal research considering this relationship is scarce, the present two-wave longitudinal study of 2021 secondary school students (Mage = 13.86, SD = 1.25) examined whether frequency of social media use and problematic social media use predicted adolescents' bedtime and quality of sleep. Moreover, the protective role of parental rules regarding Internet and smartphone use one hour before sleep was examined. The findings indicated that strict parental rules about Internet and smartphone use before sleep might prevent negative consequences of social media use on bedtime and sleep quality, but only among less engaged social media users. Once adolescents are highly engaged social media users, strict parental rules do not seem to prevent negative media influences on sleep. This implies that limiting Internet accessibility before bedtime can help prevent adolescents' sleep problems, but that regulation is less effective for adolescents who are already highly involved in social media use.

Taking a Break from Social Media Improves Wellbeing Through Sleep Quality

As social media use has increased in prevalence, so have concerns that social media may be detrimental to mental health and wellbeing. The primary aim of the current study was to investigate whether limiting social media use leads to increases in wellbeing. A secondary aim was to assess whether sleep quality contributed to the hypothesized relationship between social media use and wellbeing. One hundred and thirty-two individuals participated in the current study, with half the participants limiting their use of Facebook, Instagram, and Snapchat for 1 week. Social media use was monitored by having participants email screen shots of their battery usage, which included information on the level of usage for Facebook, Instagram, and Snapchat. Relative to a control group that did not limit social media use, taking a break from social media led to a small improvement in wellbeing. This improvement, at least in part, appears to be due to changes in sleep quality.

Later bedtimes predict President Trump's performance

Technology and social media use are increasingly associated with delays in nightly sleep. Here, we consider the timing of President Trump's official Twitter account posts as a proxy for sleep duration and how it relates to his public performance. The President wakes around 6am, a routine which has not changed since early 2017. In contrast, the frequency of Twitter activity 11pm-2am increased 317% from under one day per week in 2017 to three days a week in 2020. The President's increased late-night activity is not accounted for by increases in the frequency of his use of social media over time, his travel schedule, or seasonality. On the day following one where he posts late at night, his Twitter followers interact less with his posts, described as "official statements by the President of the United States". He receives 7400 fewer likes per tweet, 1300 fewer retweets per tweet, and 1400 fewer replies per tweet after a late night (drops of 6.5%-8%). Tweets aside, the President's speeches and interview transcripts have previously been coded for their dominant emotion through text analysis. On the day following a late night, the President's inferred emotion is less likely to be "happy" and nearly three times more likely to be "angry" in his interviews and speeches. Finally, the 2020 election odds of the President's chief opponent also increase after a late night, while the President's are unchanged. The pattern we document is consistent with a progressive shortening of the President's sleep over his first term and compromised performance from sleep deprivation.

Social media use predicts later sleep timing and greater sleep variability: An ecological momentary assessment study of youth at high and low familial risk for depression

INTRODUCTION

Social media (SM) use has been increasingly recognized as a potential contributor to poor sleep. Few studies have examined SM use and sleep using ecological momentary assessment (EMA), compared different types of media use (SM, television, gaming), or examined whether youth at high and low familial risk for depression are differentially affected by SM use.

METHODS

The current study included 76 youth (46% female; Mean age = 11.28 years) who were recruited based on parental history of recurrent depression (N = 35 high risk; N = 41 low risk) in the United States. Youth completed a 9-day EMA protocol, which included current activity at time of prompt and daily sleep onset and offset times. Regression and multilevel models were conducted to examine the effects of media use on sleep.

RESULTS

Results indicated that youth who used more SM (mean and number of days) went to sleep later, but did not have shorter sleep duration. Youth with more SM use also had higher levels of variability of both sleep timing and sleep duration across the 9-day period. There were no effects of gaming or TV on sleep, and youth at high risk for depression did not have differences in SM use or its effects on sleep compared to low-risk youth.

CONCLUSIONS

These findings indicate a unique impact of SM use on sleep timing and variability for youth (regardless of risk status), which may suggest a unique and modifiable pathway through which SM use contributes to poor health.

Energy Justice in Slum Rehabilitation Housing: An Empirical Exploration of Built Environment Effects on Socio-Cultural Energy Demand

The interaction of energy and buildings institutes a complex socio-technical system that influences the eudemonic well-being of the occupants. Understanding these drivers become even more necessary in impoverished areas where occupants struggle to avail essential energy services. The literature indicates that energy injustice can be addressed through provisioning of comfort, cleanliness, and convenience (3Cs) as critical cultural energy services in low-income areas. This study investigates the socio-architectural influence for slum rehabilitation housing (SRH) on cultural energy services that can promote distributive justice. The methodology adopts an empirical route using data from 200 household surveys from SRH in Mumbai, India, and João Pessoa, Brazil. A model between the 3Cs and socio-architectural elements was established using Firth’s binary logistic regression. The survey results showed that the SRH in Brazil had twice the appliance ownership as compared to the Mumbai SRH. There were distinct energy service preferences in the study areas, despite common poverty burdens. The empirical results showed that the lack of socio-architectural design elements like open spaces, privacy, and walkability in the study areas demanded specific comfort and convenience appliances as a counter-response. A critical policy implication drawn was on the need for socio-architectural inclusive energy planning for distributive justice in poverty. Mitigating rising energy demand through appropriate built environment design of slum rehabilitation housing can contribute to fulfilling the UN’s SDG 7 (clean and affordable energy) and 11 (sustainable cities and communities) goals.