Sleepless due to social media? Investigating problematic sleep due to social media and social media sleep hygiene

The relationship between fear of missing out, digital technology use, and psychological well-being: A scoping review of conceptual and empirical issues

Given the rise of digital technology and its assumed impact on psychological well-being, this scoping review systematically examines the literature on Fear of Missing Out (FoMO), which is assumed to play a pivotal role in this dynamic. Although adverse effects of FoMO are commonly assumed, there is still no consensus on the nature of the phenomenon or its relations with psychological well-being and digital technology use, making a scoping review essential. To address this need, we comprehensively assess the conceptualizations of the construct of FoMO and its roles in relation to well-being and digital technology use. We conducted a literature search in PubMed, Ebsco/APA PsycINFO, and Web of Science (period 2013 to July 7, 2023), screening 4121 articles at the title and abstract level and assessing 342 full-text articles for eligibility, ultimately including 106 articles. The review revealed a fragmented FoMO literature, emphasizing the need for conceptual clarity to address critical gaps and inconsistencies in existing research. Consensus exists on FoMO's essence-an unpleasant feeling arising from missed social experiences driven by activity comparison. However, debates include FoMO's associated affective states and conceptual boundaries, as well as the need to disentangle FoMO as a trait or state. The review also underscored FoMO's multifaceted roles in well-being and digital technology use, highlighting the need for causal research, theoretical guidance, and unified terminology to advance understanding in the FoMO literature.

Impact of National Lockdown Measures on the Association Between Social Media Use and Sleep Disturbance During COVID-19: A Meta-Analysis of 21 Nations

During the COVID-19 pandemic, the extensive lockdown measures implemented for disease mitigation triggered a surge in round-the-clock social media use, giving rise to widespread concerns regarding its impact on sleep health. This meta-analysis examined the association between social media use and sleep disturbance during the pandemic, along with potential moderators. The dataset included 43 independent samples comprising 68,247 residents of 21 countries across 7 world regions. The three-level mixed-effects meta-analysis revealed a weak, positive overall effect size (r = 0.1296, 95% confidence interval: 0.0764-0.1828, k = 90). The magnitude of the effect size varied by the type of social media use: compulsive use exhibited a moderately strong effect size, whereas information-focused use showed marginal significance. The effect size was more pronounced in countries imposing stricter (vs. less strict) lockdown measures. Lockdown status also moderated this association, with a marginally significant effect size observed during lockdowns but a significant effect size after lockdowns. For demographics, samples involving emerging adults demonstrated moderately strong effect sizes, whereas those involving the general population had modest effect sizes. Notably, the interaction between the type of social media use and lockdown status was significant. Specifically, the positive association with information-focused use was significant only during lockdowns, whereas that with general use was significant after, but not during, lockdowns. However, compulsive use showed a moderately strong effect size both during and after lockdowns. These findings underscored the importance of considering multiple factors-such as the type of social media use, context, and demographics-when studying social media use and sleep health.

Social Media Use and Sleep Quality Among Secondary School Students in Aseer Region: A Cross-Sectional Study

Background

Use of different social media platforms has increased radically over the past decade, emerging as an important part of adolescents and young people's everyday life. This might exert potential adverse effects on sleep quality and daytime performance of young adults.

Aim of Study

To assess the relation between use of social media platforms and sleep quality among public secondary school students.

Methods

A cross-sectional study was conducted on 961 students in Aseer region, Saudi Arabia. Students were asked to fill in a structured interview questionnaire covering personal data, pattern of social media use, sleep quality using The Pittsburgh Sleep Quality Index (PSQI) and their mental health status using the depression, anxiety and stress scale (DASS-21).

Results

Students' ages ranged from 15 to 20 years with a mean age of 16.7 ± 2.1 years old. A total of 570 (59.3%) students were females. Tiktok (80%), Snapchat (77.9%), Instagram (63.8%) and YouTube (58.8%) were the most reported platforms used. Regarding their sleep quality, 34.7% of students were poor sleepers. TikTok use (OR 1.33, 95% CI 1.01-1.77), hours spent on social media (OR 1.26, 95% CI 1.16-1.37) and having moderate to severe depressive symptoms (OR 1.69, 95% CI 1.19-2.40) were significant independent predictors of poor sleep among the studied sample.

Conclusion

The present study emphasized the association between prolonged use of social media and poor sleep quality among Saudi adolescents. Awareness and behavioral change strategies and activities concerning the drawbacks of poor sleep and proper use of social media are urgently called for to control mental and physical health consequences of poor sleep and social media addiction.

Assessment of the impact of social media addiction on psychosocial behaviour like depression, stress, and anxiety in working professionals

OBJECTIVE

Social media (SM), with its addictive nature and the accompanying psychosocial challenges such as stress, anxiety, and depression, is the primary factor exacerbating mental health problems and adversely impacting individuals' wellbeing. Our study's goal was to determine how SM affects employees' psychosocial behaviours and assess the various factors that contributed to the employee's excessive use of SM.

METHODS

A cross-sectional correlational analysis was conducted. Using a relevant questionnaire on employees, the study was assessed to establish the relationship or association between SM addiction and psychosocial disorders like depression, anxiety, and stress. 200 people with a minimum age of 24 were enrolled in the study. The questionnaire contained the social networking addiction scale (SNAS) and the depression, anxiety, and stress-21 (DASS-21) scales; the data were statistically assessed.

RESULTS

The association between SM addiction and psychosocial behaviours has been examined using statistical tools including descriptive statistics and the Chi-square analysis. SM addiction has a strong, statistically significant correlation with depression (p = 0.001), stress (p = 0.001), and anxiety (p = 0.001).

CONCLUSION

This study discovered a connection between SM use and depression, stress, and anxiety among working employees, raising questions regarding worries about overuse and addiction to SM. Various factors influencing excessive usage included revealed that employees also majorly over used SM for entertainment, boredom avoidance, constant knowledge sharing, and relationship-building.

When and what: A longitudinal study on the role of screen time and activities in adolescent sleep

OBJECTIVES

Previous research has highlighted a link between electronic media use and sleep outcomes, but the nuanced impacts of screen use at different time of day and activities on adolescent sleep are underexplored.

METHODS

831 participants underwent online assessment three times with interval of three months regarding their screen time and activities at specific times of the day, daytime sleepiness was assessed with the Epworth Sleepiness Scale, and sleep outcomes were assessed with the Pittsburgh Sleep Quality Index and Insomnia Severity Index. The associations between time spent on various screen activities, and sleep outcomes were examined respectively after controlling for inter-individual differences using the Random Intercept Cross-Lagged Panel Model models and LMMs.

RESULTS

The RI_CLPM model revealed that both electronic screen time during daytime and after lights off in the evening in Wave1 negatively predicted the sleep quality in Wave2; the nighttime screen time before lights off in Wave1 significantly negatively predicted the seventy of insomnia in Wave2. Whereas no cross-lag and predictive effects of sleep outcomes on screen time were revealed. Moreover, daytime screen exposure, including T.V. watching and social media use, and nighttime music listening were negatively associated with sleep quality. Conversely, nighttime screen time of shopping and working/studying positively influenced sleep quality. Additionally, daytime screen time of T.V. viewing was positively associated with increased insomnia severity, whereas nighttime work/study-related screen time negatively affected insomnia severity. Nighttime screen time of music listening negatively predicted daytime sleepiness.

CONCLUSIONS

The current findings contributed to the existing literature suggesting that the effects of electronic screen time on sleep depended on both the time of day and type of screen activities.

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.

Identifying protective and risk behavior patterns of online communication in young people

INTRODUCTION

Research has investigated the association between time spent online and mental well-being, however the nuances between specific online behaviors and well-being have been less explored. This research examines how specific online behaviors (i.e., how young people are engaging online and with whom), are associated with one another, and how these patterns of behaviors are related to well-being.

METHODS

We used the November 2020 and March 2021 Understanding Society COVID-19 Panel data. The sample consisted of 1432 adolescents aged 10-15 years, who participated in November 2020. Latent class analysis was used to explore patterns of online behaviors. We also investigated how sociodemographic characteristics differed across the classes, along with physical, social, and mental well-being as distal outcomes both cross-sectionally and longitudinally.

RESULTS

We identified four classes: "Avid users," "Scholars," "Midways," and the "Passengers." The avid users had the highest frequency of posting online content regularly, likewise the scholars also posted online content regularly, however the scholars were differentiated by their higher frequency of schoolwork and news intake online. The midways had more complex activity characterized by talking to friends often and having a social media account, but posted online content less frequently. The passengers were the least active online as they posted pictures and videos less (76% said "never") and only 63% had a social media account. The avid users had the lowest well-being cross-sectionally and longitudinally, and the midways had lower social well-being and appearance dissatisfaction.

CONCLUSIONS

Online behaviors such as regularly posting or talking to internet-only friends could be related to lower well-being. Policymakers should consider both improving regulations online and building an evidence base to enable caregivers from all backgrounds to support young people.

Factorial validity of the problematic social media use scale among Chinese adults

The Problematic Social Media Use Scale (PSMUS) is a promising self-report measure assessing problematic use of social media among adolescents and adults. However, data concerning its psychometrics are still scant, and adaptation in Eastern cultures is missing. This study aimed to test the factorial structure, internal consistency, and external validity of the Chinese version of the PSMUS in a sample of 672 adults (31% males) aged between 18 and 58. A series of confirmatory factor analyses supported the bifactor structure of the PSMUS, including a general factor and five specific independent components, namely preference for online social interactions, mood regulation, cognitive preoccupation, compulsive use, and negative outcomes. Hierarchical Omega supported the presence of a general factor, and also ancillary indexes suggested that the questionnaire is not strictly unidimensional. Subsequent structural equation modeling testing the incremental contribution of each PSMUS facet in predicting negative emotional states showed that, above and beyond the general factor, only one of the five dimensions (i.e., negative outcomes) significantly links to our criterion measure further support the use of an overall PSMU score. Moreover, results support the external validity of the questionnaire, given its positive association with depression, anxiety, and stress scores. The Chinese version of the PSMUS is a psychometric sound instrument to assess the level of PSMU in adults. Future research may evaluate the cross-cultural validity of the bifactor model and its associations with other assessment methods.

Screen time and addictive use of gaming and social media in relation to health outcomes

Introduction

This study examined associations between screen time and addictive use (i.e., heavy involvement and negative consequences) of gaming and social media, and their independent effects on health outcomes.

Methods

Survey data were collected from 2,265 participants (mean age = 21.57). Internet Gaming Disorder (IGD) and Social Media Disorder (SMD) were measured with the Gaming and Social Media Questionnaire (GSMQ-9), with separate measures for heavy involvement and negative consequences. Screen time was measured by weekly hours of gaming and social media. Assessed health outcomes were psychological problems, low self-concept, social problems, sleep problems, and sleep time.

Results

Screen time and addictive use were significantly associated for both gaming and social media, with associations being stronger for symptoms of heavy involvement compared to symptoms of negative consequences. However, despite significant associations, a substantial proportion of the participants with a high screen time did not meet any or just one symptom of addiction. More importantly, it was primarily negative consequences that had independent effects on health outcomes, except for sleep. High levels of heavy involvement in gaming, were even related to lower, not higher, levels of psychological problems.

Conclusion

The present findings study show that screen time is a poor indicator of addictive use of gaming and social media. Given that it was primarily negative consequences of gaming or social media that had effects on health outcomes, our study also emphasizes the need to distinguish between different types of addictive use and to further examine the diagnostic validity of the nine IGD symptom criteria.

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.

The influence of cognitive activity on subsequent daytime nap: A deep neural network model based on sleep spindles

OBJECTIVES

Understanding the influence of cognitive activity on subsequent sleep has both theoretical and applied implications. This study aims to investigate the effect of pre-sleep cognitive activity, in the context of avoiding emotional interference, on macro-sleep and sleep spindles.

METHODS

In a within-subjects design, participants' sleep electroencephalography was collected in both the with and without pre-sleep cognitive activity conditions. Subsequent macro-sleep (i.e., sleep stage distribution and sleep parameters) and spindle characteristics (i.e., density, amplitude, duration, and frequency) were analyzed. In addition, a novel machine learning framework (i.e., deep neural network, DNN) was used to discriminate between cognitive activity and control conditions.

RESULTS

There were no significant differences in macro-sleep and sleep spindles between the cognitive activity and control conditions. Spindles-based DNN models achieved over 96% accuracy in differentiating between the two conditions, with fast spindles performing better than full-range and slow spindles.

CONCLUSIONS

These results suggest a weak but positive effect of pre-sleep cognitive activity on subsequent sleep. It sheds light on a possible low-cost and easily accessible sleep intervention strategy for clinical and educational purposes.

Association of Screen Time with Anxiety and Depressive Symptoms in College Students During COVID-19 Outbreak in Shanghai: Mediation Role of Sleep Quality

The study aimed to investigate the associations between different types of screen time (ST) and anxiety and depressive symptoms in college students during the Coronavirus disease 2019 (COVID-19) outbreak in Shanghai, China; the potential mediation role of sleep quality was also examined. A total of 1,550 college students completed an online survey in May 2022. ST, Self-rating Anxiety Scale (SAS) score, Self-rating Depression Scale (SDS) score, Pittsburgh Sleep Quality Index (PSQI) score, and physical activity were self-reported. Multiple linear regression and mediation analysis were conducted. The results showed that more time spent in TV/movie viewing (>2 h/day) and recreational reading (>1 h/day) was associated with higher levels of anxiety, while more time spent in online social media (>2 h/day) was associated with a higher level of depressive symptoms. In contrast, time spent in online social media (1-2 h/day) was associated with a lower level of anxiety. Meanwhile, recreational reading (2-3 h/day) had a significant indirect effect on anxiety and depressive symptoms through sleep quality. During the COVID-19 outbreak, the associations of ST with anxiety and depressive symptoms varied by the type of screen viewing in college students. The associations of slightly excessive time spent on recreational reading with higher levels of anxiety and depressive symptoms were partially mediated by sleep quality.

Unpacking the relationship between technological conflicts, dissatisfaction, and social media discontinuance intention: An integrated theoretical perspective

Previous research has largely overlooked the examination of the association between family, work, and personal (FWP) conflict, user dissatisfaction, and subsequent discontinuation intention in the context of social networking sites (SNS). Addressing this research gap, the present study aims to present an integrated theoretical perspective that combines Expectancy Disconfirmation Theory (EDT) and Merton's functions. By doing so, we seek to provide a comprehensive understanding of the factors influencing SNS withdrawal behavior. To achieve this objective, data were collected from 360 SNS users using a time-lag method across three waves, and Structural Equation Modeling (SEM) was employed for data analysis. The findings of our study reveal that all three disconfirmation-based factors (i.e., FWP conflicts) positively contribute to SNS user dissatisfaction, which subsequently leads to users' intention to discontinue their SNS usage. Additionally, we explored the moderating role of Merton's functions, specifically manifest and latent functions, in influencing users' decisions to discontinue SNS use. The results indicate that the manifest functions of social media weaken the relationship between dissatisfaction and discontinuation intention, whereas the latent functions do not exhibit a significant interaction effect. By proposing a dual theoretically integrated mechanism of SNS discontinuation intention, study contributes to the existing literature in the field of information systems. Furthermore, our findings provide valuable insights for managers regarding the timing and manner in which social media FWP conflicts can lead to user dissatisfaction. This knowledge can assist in the development of effective strategies aimed at retaining users in SNS and enhancing their overall user experience.

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.

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.

Family Matters More Than Friends on Problematic Social Media Use Among Adolescents: Mediating Roles of Resilience and Loneliness

Problematic social media use (PSMU) among adolescents has raised global concern in the current digital age. Despite the important role of perceived social support in adolescents' PSMU has been examined, possible different influences between perceived support from family and friends are still unknown. To address the gap, the present study aimed to examine how perceived support from family and friends is associated differently with PSMU and the mediating roles of resilience and loneliness therein. A sample of 1056 adolescents was recruited to complete standard questionnaires. Mediation analysis showed that resilience and loneliness mediated this association partially between perceived support from family and PSMU but totally between perceived support from friends and PSMU. Further, ANOVA-based analysis showed that influences of perceived support from family and friends on PSMU were mutually independent, and there was no interaction between them. Our results not only highlight different and independent impacts of perceived support from family and friends on PSMU, but also clarify the mediating mechanisms linking perceived social support to adolescent PSMU.

Digital self-harm and suicidality among adolescents

BACKGROUND

Research on digital self-harm - the anonymous online posting, sending, or otherwise sharing of hurtful content about oneself - is still in its infancy. Yet unexplored is whether digital self-harm is related to suicidal ideation or suicide attempts.

METHODS

In the current study, survey data were collected in 2019 from a national sample of 4972 American middle and high school students (M_age  = 14.5; 50% female). Logistic regression analysis was used to assess whether lifetime engagement in two different indicators of digital self-harm was associated with suicidal thoughts and attempts within the past year.

RESULTS

Logistic regression analysis showed that engagement in digital self-harm was associated with a five- to sevenfold increase in the likelihood of reporting suicidal thoughts and a nine- to 15-fold increase in the likelihood of a suicide attempt.

CONCLUSIONS

Results suggest a connection between digital self-harm and suicidality. As such, health professionals must screen for digital self-harm to address underlying mental health problems among youth that may occur prior to or alongside suicidality, and parents/caregivers must convey to children that they are available to dialog, support, and assist with the root issues that may eventually manifest as digital self-harm.

The role of insufficient sleep and circadian misalignment in obesity

Traditional risk factors for obesity and the metabolic syndrome, such as excess energy intake and lack of physical activity, cannot fully explain the high prevalence of these conditions. Insufficient sleep and circadian misalignment predispose individuals to poor metabolic health and promote weight gain and have received increased research attention in the past 10 years. Insufficient sleep is defined as sleeping less than recommended for health benefits, whereas circadian misalignment is defined as wakefulness and food intake occurring when the internal circadian system is promoting sleep. This Review discusses the impact of insufficient sleep and circadian misalignment in humans on appetite hormones (focusing on ghrelin, leptin and peptide-YY), energy expenditure, food intake and choice, and risk of obesity. Some potential strategies to reduce the adverse effects of sleep disruption on metabolic health are provided and future research priorities are highlighted. Millions of individuals worldwide do not obtain sufficient sleep for healthy metabolic functions. Furthermore, modern working patterns, lifestyles and technologies are often not conducive to adequate sleep at times when the internal physiological clock is promoting it (for example, late-night screen time, shift work and nocturnal social activities). Efforts are needed to highlight the importance of optimal sleep and circadian health in the maintenance of metabolic health and body weight regulation.

Cell Phone Social Media Use and Psychological Well-Being in Young Adults: Implications for Internet-Related Disorders

Internet-related disorders are on the rise and increasing cell phone social media use may be one of the reasons for these disorders. To better understand internet-related disorders, we aim to explore the psychological and social aspects of cell phone social media behaviors. We hypothesized that, according to humanistic theories of positive functioning, cell phone social media connectedness to self (engagement, interest, pleasure, sense of enjoyment, meaningfulness, purposefulness, optimism, acceptance, and feeling accomplished) would relate positively to psychological well-being of undergraduate students. We also hypothesized that, according to Maslow's hierarchy of needs, cell phone social media connectedness to others (affiliation, feeling rewarded, being liked by others, and contributions to the well-being of others) would relate positively to the psychological well-being of undergraduate students. During the fall of 2019, 523 (75.4% female) undergraduate students from a large public university participated in this study by completing validated quantitative surveys on their cell phone use and psychological well-being. Spearman's rho and ordinal logistics were implemented to analyze the findings. Correlational data showed that cell phone social media connectedness to self and cell phone social media connectedness to others were positively associated with the psychological well-being of undergraduate students. Ordinal logistics showed higher odds of psychological well-being occurring with cell phone social media connectedness to self and cell phone social media connectedness to others. Cell phone social media connectedness to self significantly predicted psychological well-being with the medium effect, whereas cell phone social media connectedness to others was not a significant predictor of the psychological well-being of undergraduate students. An increase in cell phone social media connectedness to self and an increase in cell phone social media connectedness to others of undergraduate students helped them improve their psychological well-being. Cell phone social media connectedness to self significantly predicted but cell phone social media connectedness to others did not predict the psychological well-being of undergraduate students, which may have implications for the research pertaining to behavioral addiction and may help better understand internet-related disorders.

An investigation on information quality, media richness, and social media fatigue during the disruptions of COVID-19 pandemic

Mobile social platforms have become a valuable information source by which users gain information about the COVID-19 pandemic. However, little is known about whether users have experienced increased daily fatigue as a result of the disruptions caused by pandemic. Drawing on the cognitive activation theory of stress (CATS), this study proposed that two typical characteristics of social media platforms (SMP), information quality and media richness, are associated with event disruptions of the COVID-19 pandemic (EDC), and then induce social media fatigue. To address this, this study used the experience sampling method (ESM), collecting 550 matched cases from 110 users of the WeChat application in mainland China over five consecutive days. Through multilevel structural equation modeling (MSEM), this study discovered three main findings: (1) daily information quality is negatively related to event disruptions of the COVID-19 pandemic, which in turn decreases daily social media fatigue; (2) daily media richness is positively associated with such event disruptions, which ultimately increases daily social media fatigue; (3) these effects were stronger for users who reported higher (vs. lower) levels of health consciousness. The implications of these results for the COVID-19 pandemic and beyond are discussed.

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.

"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.

Loneliness, perceived isolation and sleep quality in later life. Longitudinal evidence from a population-based German study

OBJECTIVES

To date, there is restricted knowledge regarding the association between loneliness, perceived social isolation and sleep quality based on longitudinal studies. Our aim was therefore to clarify the association between loneliness, perceived social isolation and sleep quality stratified by sex using a longitudinal approach.

METHODS

Longitudinal data (wave 5 and wave 6) were used from a nationally representative sample of community-dwelling individuals ≥ 40 years in Germany. In our analytical sample, n equaled 8784 observations. The Bude and Lantermann tool was used to quantify perceived social isolation and the De Jong Gierveld tool was used to measure loneliness. Relying on key items of the Pittsburgh Sleep Quality Index, sleep quality was assessed.

RESULTS

Increases in loneliness were associated with worsening sleep quality (in men: in two outcomes; in women: in all three outcomes). Moreover, in men, increases in perceived social isolation was associated with decreases in overall sleep quality (β = 0.10, p < 0.01), but not with the other outcomes. In contrast, perceived social isolation was not associated with changes in any of the outcome measures in women.

CONCLUSIONS

Increases in loneliness were particularly associated with worsening sleep quality among women, whereas the overall sleep quality decreases when perceived social isolation increases in men. Efforts to reduce perceived social isolation (men) and loneliness (in men, but particularly in women) can contribute to sleep quality in individuals aged 40 years and over in Germany.

Effect of social media overload on college students’ academic performance under the COVID-19 quarantine

Features and relevant services of online social media have been attracting users during the COVID-19 pandemic. Previous studies have shown that college students tend to use social media more frequently than other groups. However, in being affected by social media overload, the social media use behaviors of many college students have been out of their control in terms of their capabilities or cognition. Based on the stressor–strain–outcome (SSO) model and the theory of compensatory internet use (TCIU), we developed a research model to study the causes of social media overload and its impact on college students’ academic performance during the COVID-19 pandemic. A total of 441 valid responses from college students through questionnaires in China are collected via purposive sampling and used in the data analysis. This study conducts PLS-SEM to analyze collected data, finding that boredom proneness is associated with overload (stress), which has a bearing on social media overload (strain) and the reduction in final performance (outcome). Through illustrating the psychological and behavioral conditions that hinder the academic performance of students, this study provides deeper insights into students’ uncontrollable use of social media. Moreover, with respect to the identified antecedents, this study aims to find solutions to mitigate the impact of social media overload resulting from boredom proneness on the academic performance of college students.

The relationship between social anxiety and academic engagement among Chinese college students: A serial mediation model

BACKGROUND

Few studies have elucidated the mechanisms linking social anxiety and academic engagement. This study aimed to explore the link between social anxiety and academic engagement through a series of mediating effects of social media addiction and sleep quality among college students.

METHODS

2661 college students completed the Liebowitz Social Anxiety Scale, the Bergen Social Media Addiction Scale, the Pittsburgh Sleep Quality Index, and the Utrecht Work Engagement Scale for Student. The serial mediation analysis was conducted using Hayes' PROCESS macro (Model 6).

RESULTS

Social anxiety had a significantly direct effect on academic engagement (c = -0.162, p < 0.001) and through three significantly indirect pathways: (1) through social media addiction (B = -0.019, 95% CI: -0.027 to -0.011), accounting for 11.7% of the total effect; (2) through poor sleep quality (B = -0.043, 95% CI: -0.052 to-0.034), accounting for 26.5% of the total effect; and (3) through the serial mediators involving in social media addiction and poor sleep quality (B = -0.007, 95% CI: -0.009 to -0.005), accounting for 4.3% of the total effect. The total mediating effect was 42.6%.

LIMITATIONS

This cross-sectional study prevented us from establishing causality.

CONCLUSIONS

This study highlights the serial mediating role of social media addiction and sleep quality, the behavior and lifestyle factors, in the relationship between social anxiety and academic engagement. Therefore, social media addiction and sleep quality interventions for college students with social anxiety have the potential to improve their academic engagement.

The impact of screen time changes on anxiety during the COVID-19 pandemic: sleep and physical activity as mediators

Under the burden caused by COVID-19 and rapid lifestyle changes, many people increased their screen time due to psychological needs and social requirements. The current study investigated the relationship between screen time changes and anxiety symptoms during the pandemic of COVID-19. Furthermore, we examined whether sleep and physical activity would mediate the association between screen time changes and anxiety. The self-developed questionnaire was delivered online to collect people's changes in anxiety, sleep patterns, and screen time during COVID-19. 970 participants (74.4% female) with an average age of 23 years were involved in this study. After adjusting demographic variables, the ordinal logistic regression analyses revealed that a significant increase in screen time was linked with anxiety. Slightly increased screen time, slightly and significantly decreased screen time did not predict anxiety symptoms during the pandemic. The level of anxiety was significantly higher among respondents who reported decreased sleep quality. Sleep quality directly mediated the association between screen time changes and anxiety, while sleep latency did not. The longer sleep latency caused by increased screen time would amplify anxiety by affecting sleep quality. In addition, the relationship between screen time changes and anxiety was also mediated by physical activity. We concluded that the fluctuation of screen time in a modest range does not affect the anxiety level substantially. The significantly increased screen time would contribute to poor sleep (including longer sleep latency and worse sleep quality) and lack of physical activity, which would lead to higher levels of anxiety.

Coping with pandemics using social network sites: A psychological detachment perspective to COVID-19 stressors

Prior research has often portrayed information technology (IT) as a stressor. In this paper, we propose and demonstrate that IT can also be an effective means of coping with life stressors, including those induced by pandemics such as COVID-19. We thus deviate from the common IT-as-a-stressor perspective and adopt an IT-as-a-coping-mechanism viewpoint. To this end, we apply the stressor-detachment model from organisational psychology to the use of social network sites (SNSs) in coping with stressors wrought by the COVID-19 pandemic. We examine psychological well-being as our dependant variable and introduce psychological detachment through SNS use as a mediator and moderator of the associations between psychological well-being and two COVID-19 stressors: work-family conflict and perceived isolation. We used structural equation modelling and tested this model with survey data collected from 398 professionals who were in lockdown and working from home during the pandemic. The results indicated that psychological detachment through SNS uses increased psychological well-being and that heightened work-family conflict motivated this detachment strategy. In contrast, consistent with helplessness and motivation-opportunity theories, perceived isolation as a stressor did not influence psychological detachment through SNS use. While perceived isolation directly reduced individual well-being, the effect of work-family conflict on well-being was contingent upon users' levels of psychological detachment through SNS use. These findings suggest that while psychological detachment through SNS use is an effective means of improving one's well-being, it can be positively or negatively affected by stressors. Our study contributes to research on technology-mediated strategies for coping with stress and the psychosocial implications of global pandemics.

Is psychological distress the key factor in the association between problematic social networking sites and poor sleep quality?

BACKGROUND AND AIMS

Problematic Social Networking Sites Use (PSNSU) has been indicated as potentially detrimental for users' mental and sleep health. The present study tested whether PSNSU is directly associated with poor sleep quality and indirectly via psychological distress (stress, anxiety, depression) in a healthy adult sample of Social Networking Sites (SNSs) users.

DESIGN

Cross-sectional study among Italian adults who completed online questionnaires between December 2020 and January 2021.

SETTING

Italy.

PARTICIPANTS

A convenient sample of N = 726 SNSs users (51.8% females; mean age = 28.59 years, SD = 8.19 years).

MEASUREMENTS

Self-report data were collected on problematic social networking sites use, sleep quality, psychological distress (stress, anxiety, depression), and socio-demographics.

FINDINGS

PSNSU was not directly associated with poor sleep quality. Depression and stress mediated such association.

CONCLUSION

Healthcare providers should consider psychological distress and PSNSU when encountering sleep problems, with consideration of the potentially important role of users' age and mental health status.

Developing a mental health index using a machine learning approach: Assessing the impact of mobility and lockdown during the COVID-19 pandemic

Governments worldwide have implemented stringent restrictions to curtail the spread of the COVID-19 pandemic. Although beneficial to physical health, these preventive measures could have a profound detrimental effect on the mental health of the population. This study focuses on the impact of lockdowns and mobility restrictions on mental health during the COVID-19 pandemic. We first develop a novel mental health index based on the analysis of data from over three million global tweets using the Microsoft Azure machine learning approach. The computed mental health index scores are then regressed with the lockdown strictness index and Google mobility index using fixed-effects ordinary least squares (OLS) regression. The results reveal that the reduction in workplace mobility, reduction in retail and recreational mobility, and increase in residential mobility (confinement to the residence) have harmed mental health. However, restrictions on mobility to parks, grocery stores, and pharmacy outlets were found to have no significant impact. The proposed mental health index provides a path for theoretical and empirical mental health studies using social media.

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.

Suicide Risk in Emerging Adulthood: Associations with Screen Time over 10 years

Suicide rates have increased over the past decade, and screen media (and social media in particular) are often blamed for this marked increase. However, there is little longitudinal research on this topic. The current study examined the link between various types of screen media use over a 10-year period (from adolescence to emerging adulthood) to suicide risk in emerging adulthood. Participants included 500 adolescents (51% female) who were first surveyed in 2009, when they were an average of 13.82 years old (range 12-15 years). For girls, a high level of social media or television use in early adolescence followed by a marked increase over time was most predictive of suicide risk in emerging adulthood. Additionally, video game use that increased over time was also associated with a higher risk for developing suicide risk for girls. A passive sensing measurement was also included at the final wave of data collection to obtain a more accurate and complete picture of phone use in particular. The use of entertainment apps was risky for girls while reading apps were risky for boys. Additionally, video game use (for boys) was associated with suicide risk when cyberbullying was also high. Identifying nonnormative patterns of media during adolescence may be instructive in terms of suicide prevention efforts.

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

OBJECTIVE

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

METHODS

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

RESULTS

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

CONCLUSION

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

Social Media Addiction in High School Students: A Cross-Sectional Study Examining Its Relationship with Sleep Quality and Psychological Problems

The aim of this study was to examine the relationship of social media addiction with sleep quality and psychological problems in high school students. The study is a cross-sectional, correlational type. The study was conducted with 1,274 students receiving education in a district located in the western region of Turkey. For the collection of the data, a Descriptive Information Form, the Social Media Addiction Scale for Adolescents (SMASA), the Strengths and Difficulties Questionnaire (SDQ), the Sleep Quality Scale (SQS) and the Sleep Variables Questionnaire (SVQ) were used. Among the high school students who participated in the research, 49.3% stated that they had been using social media for 1-3 years, 53.9% reported that they spent 1-3 h per day on social media, and 42.8% stated that they placed their telephone under their pillow or beside their bed while sleeping. Students' mean scores were 16.59 ± 6.79 (range: 9-45) for the SMASA, 16.54 ± 4.27 (range: 0-40) for total difficulties, and 14.18 ± 1.56 (range: 7-21) for the SQS, while their sleep efficiency value was 97.9%. According to the research model, difficulties experienced by high school students increase their social media addiction, while they decrease prosocial behaviours. Social media addiction in high school students decreases students' sleep efficiency (p < 0.05). It is considered important to conduct further public health studies for children and adolescents related to the risks caused by the excessive use of technology, the consequences of social media addiction, measures to protect psychological health, sleep programmes and the importance of sleep quality.

Exploring the factors in information seeking behavior: a perspective from multinational COPD online forums

This research establishes a theoretical framework for evaluating antecedents of the information seeking behaviors of online forum participants with chronic obstructive pulmonary disease (COPD). We evaluated the proposed framework using partial least squares structural equation modeling (PLS-SEM) after gathering data using a cross-sectional survey. We subsequently assessed the framework using importance-performance map analysis (IPMA). Findings suggest that perceived ease of use does not singularly influence COPD forum users' information seeking behavior. IPMA analysis reveals that the opportunity to interact with other forum members creates the greatest impact on COPD forum users' mindsets, among all the indicators. For healthcare professionals, the results of this study provide a blueprint in terms of utilizing COPD online forums to foster recurrent associations among forum administrators and users and by creating a strong social and informational resource for COPD information seekers.

Information overload and fake news sharing: A transactional stress perspective exploring the mitigating role of consumers’ resilience during COVID-19

The spread of fake news in social networks has become a major concern for various sectors of society, including retail and service providers, some of whom have suffered from decreasing sales due to misinformation consumers shared online. The current COVID-19 crisis has added to the surrounding hysteria, as fake news during crises can heighten negative behavioural responses in consumers, such as irrational panic buying or taking false medical precautionary measures. In fact, driven by the ubiquitous social media landscape, the dissemination of misinformation and the overarching overabundance of information have been major challenges of the pandemic. Given that current research offers little insight into the processes behind the sharing of fake news among consumers and that research on consumer-centred mitigating mechanisms is missing, this study explores the relationship between information overload, fake news sharing, and the overlooked concept of consumers' resilience as a potential shield as viewed through the lens of the current crisis. Structural equation modelling is applied to cross-sectional data from 241 social media users. Drawing from theories of transactional stress and psychological resilience, it is demonstrated that information overload leads to an increased likelihood of fake news sharing by increasing consumers' psychological strain. Furthermore, the study shows that consumers' resilience has the power to mitigate the drastic effects of this negative chain of influence by inhibiting each of the processual components. The results have important implications extending beyond crises. Measures should be taken to enhance consumers’ resilience amidst technology-induced stressors while altering the information environment confronting consumers.

COVID-19 information overload and generation Z's social media discontinuance intention during the pandemic lockdown

While previous research highlights the benefits of social media in times of a pandemic, this research focuses on the potential dark side of social media use among Generation Z (Gen Z) in the UK during the COVID-19 pandemic lockdown between March and May 2020. The study reveals that COVID-19 information overload through social media had a negative impact on Gen Z social media users' psychological well-being. Moreover, perceived information overload heightened both social media fatigue and fear of COVID-19, which, in turn, increased users' social media discontinuance intention. In addition, considering that social media is the predominant method of maintaining connectivity with others for Gen Z users during the lockdown, the fear of missing out (FoMO) buffered the impact of social media fatigue and fear of COVID-19 on Gen Z users' social media discontinuance intention. Our research adds a hitherto underexplored perspective to the impact of the COVID-19 pandemic on young people's mental health. We offer a series of practical suggestions for social media users, social media platform providers, and health officials, institutions, and organizations in the effective and sustainable use of social media during the global COVID-19 pandemic and in the post-pandemic time.