The relationship between social media use and sleep quality is complicated and may be impacted by several contextual factors, including age, socioeconomic status, living environment, and other medical issues. It is necessary to explore the relationship between social media usage and poor sleep outcomes among university students. However, little is known about the connection between sleep issues and the detrimental effects of social media use. This study aims to investigate the relationship between social media, social media addiction (SMA), social media fatigue (SMF), fear of missing out (FoMO), and sleep quality (SQ) in Bangladeshi students.

Primary data were collected from 611 university students using a stratified random sampling technique. The Pittsburgh Sleep Quality Index and other variables of scales such as SMA, SMF, and FoMO were used in this survey. Descriptive statistics of participants and logistic regression were used to identify significant factors, and ANOVA was used to compare the means of multiple groups to determine.

Findings revealed that 413 (67.57%) respondents have sleep disruption, and most of the participants used social media for 0-2 h daily, however, only a small portion exceeded 8 h. This study also found that SMA, SMF, and FoMO significantly impact the SQ, where students with low SMF scores were 6.85 times more likely to report good sleep quality than those with high SMF scores. Low SMA scores are 2.04 times more likely to have good SQ compared to the high scores of SMA, and for FoMO, the low scores are 2.22 times more likely to have good SQ compared to high scorers of FoMO. Among the participating students, 47% of the students rated their health as "good", 45% as "fair", and 4% as "poor". The study found that sleep SQ has a significant impact on self-reported health status, with good SQ having a 0.598 times lower risk of fair health conditions than those with bad SQ. Moreover, social media use, time spent on social media, and how many hours you usually sleep at night in the past month covariates show a significant impact on student health.

University students were more likely to have sleep issues after using social media in ways that caused negative effects like SMF, SMA, and FoMO. Social media overactivity reduces sleep quality and affects on also self-reported health, respectively.

Digital stress, resulting from expectations of online availability, can increase the risk of conflicts with friends. However, friendship conflict remains an underexplored indicator, particularly in association with stressful online experiences. This study aims to examine the association between digital stress and conflict levels overtime, considering the role of social media expectations.

1185 adolescents (59.3% f, Mage = 15.97 years, SD = 1.43) completed self-report measures at two timepoints, six months apart. A Structural Equation Model was employed to examine the longitudinal associations of social media expectations (i.e., friends' social media norms, friends' social media use, and perceived social media features) on friendship conflict, focusing on the mediating role of digital stress (i.e., entrapment and disappointment). Gender differences were explored.

Perceived norms about social media use and unique features of social media (i.e., visualness) contributed to explain digital stress and, in turn, friendship conflict. Specifically, emotional responses to unmet expectations of availability on social media (i.e., disappointment) emerged as particularly relevant in explaining conflictual interactions, compared to the perceived pressure to be responsive to friends (i.e., entrapment). Males perceiving high availability of social media experience lower levels of entrapment, compared to females.

Results from this study support the importance of considering social media as a context where to study friendship dynamics, as this knowledge can have several implications for promoting positive online experiences and preventing conflicts with friends.

Loneliness and insomnia are endemic in college students, and emotion regulation is strongly related to both. Starting with a biopsychosocial framework, the present study tested a model in which emotional repair mediated the relationship between loneliness and insomnia, with the goal of using a potential mechanism of action to address loneliness. Participants were undergraduate students (N=1,513) in the United States who completed a survey including the Trait Meta-Mood Scale, Sleep Condition Indicator, and UCLA Loneliness Scale, amongst other measures. Insomnia had a significant total negative effect on loneliness, B = -0.46, 95% CI [-0.54, -0.39]. Emotional repair partially mediated this relationship, with an indirect effect of B = 0.015, 95% CI [-0.19, -0.12]. Participants with better sleep were more able to regulate their emotions, and thus tended to experience lower levels of loneliness. Treating insomnia (e.g., CBT-I) or skills associated with emotional repair and regulation (e.g., transdiagnostic approaches to emotion regulation) could reduce overall loneliness.

Fear of missing out (FoMO) is the apprehension that others may be having more rewarding experiences from which one is absent. A positive relationship between FoMO and social media related behaviors is well established. Limited studies have examined how FoMO may be associated with risky health behaviors, such as alcohol use. Risky alcohol use is a pervasive public health issue among college students, a population with high rates of alcohol consumption and alcohol-related consequences. Emerging studies have identified alcohol-related content (ARC) on social media may predict greater college drinking. Yet no research has investigated if social media ARC exposure is a mechanism linking FoMO to alcohol outcomes among college students. This study examined if FoMO is indirectly related to college student (N = 705; ages 18-25) alcohol outcomes (i.e., quantity, frequency, problems, and peak drinks) via frequency of checking social media and frequency of ARC exposure from peers. All paths sequentially linking FoMO to alcohol outcomes were significant and positive. Greater FoMO was related to more frequent social media checking, greater ARC exposure, and indirectly related to greater alcohol consumption and problems. FoMO may be a helpful indicator of who is at risk of risky drinking and problems via social media use.

Stress is closely related to depression, anxiety, and sleep problems. However, few studies have explored the complex symptom-level relationships among these variables at different stress levels among college students.

From March to April 2024, a survey was conducted using a convenience sampling method in three universities in Daqing City, Heilongjiang Province. A total of 7,845 participants (2,447 males and 5,398 females) were assessed using the Psychological Stress Tolerance Index (PSTR), the General Health Questionnaire-20 (GHQ-20), and the Self-Rating Scale of Sleep (SRSS). Based on the GHQ-20 scores, college students were categorized into low, medium, and high-stress levels. Non-parametric tests and Post-hoc tests were conducted to explore the impact of stress levels on depression, anxiety, and sleep. Network analysis methods were used to reveal the differences in the symptom networks of depression, anxiety, and sleep among college students at different stress levels.

Non-parametric test results indicate significant differences in depression, anxiety, and sleep scores among high, medium, and low-stress groups. Post-hoc tests reveal that the high-stress group scores significantly higher in depression, anxiety, and sleep than the medium and low-stress groups. The medium-stress group scored significantly higher than the low-stress group. Network analysis shows that the core symptoms in the low-stress group are "Difficulty falling asleep", "Anxious and restless", and "Taking sleeping pills", with bridging symptoms including "Hopeless future", "Feeling useless", "Life is a battlefield", and "Anxious and restless". For the medium-stress group, the core symptoms are "Difficulty falling asleep", "Easily awakened after sleeping", and "Life is hopeless", with bridging symptoms including "Feeling useless", "Life is a battlefield", "Anxious and restless", and "Taking sleeping pills". In the high-stress group, the core symptoms are "Difficulty falling asleep", "Feeling useless", and "Anxious and resless", with bridging symptoms including "Feeling useless", "Life is a battlefield", "Anxious and restless", and "Stress hinders tasks".

Stress exacerbates depression, anxiety, and sleep problems among college students, with differences in core symptoms and bridging symptoms of depression, anxiety, and sleep disturbances at varying levels of stress. Therefore, precise interventions can be implemented based on the core and bridge symptoms of the three networks, further improving university students' physical and mental health.

Despite the recognition of the impact of Fear of Missing Out (FoMO) on learning engagement, research conclusions remain inconsistent. This inconsistency may be due to a lack of exploration of the underlying mechanisms and the singularity of research perspectives.

Drawing from motivational dynamics model for learning engagement, this study investigated the relationship between FoMO and learning engagement from both variable-centered and person-centered perspectives, and further explored the mediating role of self-control. A total of 1,510 college students from eastern China were selected via an online platform, including 642 males and 868 females.

The results from the variable-centered analysis indicated that FoMO had a significant positive direct effect on learning engagement (effect = 0.293, 95% CI = [0.185, 0.401]). FoMO negatively predicted self-control, which in turn had a negative impact on learning engagement (effect = -0.375, 95% CI = [-0.456, -0.295]). This suggests that self-control acts as a masking effect between FoMO and learning engagement. The person-centered results suggest the presence of four latent profiles of FoMO: the low trait-FoMO low state-FoMO group, the high trait-FoMO low state-FoMO group, the low trait-FoMO high state-FoMO group, and the high trait-FoMO high state-FoMO group. Specifically, compared to the low trait-FoMO low state-FoMO group, self-control acts as a masking role between the low trait-FoMO high state-FoMO group, the high trait-FoMO high state-FoMO group and learning engagement.

FoMO exhibits a "dual-edged sword effect". Educators should adopt diverse instructional methods to leverage the positive aspects of FoMO while guiding students in self-control training to mitigate its negative effects to enhance college students' learning engagement.

The amount of time available in a day is fixed, and consequently, sleep is often sacrificed for waking activities. For college students, daily activities, comprised of scheduled classes, work, study, social, and other extracurricular events, are major contributors to insufficient and poor-quality sleep. We investigated the impact of daily schedules on sleep-wake timing in 223 undergraduate students (age: 18-27 years, 37% females) from a United States university, who were monitored for ~30 days. Sleep-wake timing and daily recorded activities (attendance at academic, studying, exercise-based, and/or extracurricular activities) were captured by a twice-daily internet-based diary. Wrist-worn actigraphy was conducted to confirm sleep-wake timing. Linear mixed models were used to quantify associations between daily schedule and sleep-wake timing at between-person and within-person levels. Later scheduled start time predicted later sleep onset (between and within: p < .001), longer sleep duration on the previous night (within: p < .001), and later wake time (between and within: p < .001). Later schedule end time predicted later sleep onset (within: p < .001) and shorter sleep duration that night (within: p < .001). For every 1 hour that activities extended beyond 10 pm, sleep onset was delayed by 15 minutes at the within-person level and 40 minutes at the between-person level, and sleep duration was shortened by 6 and 23 minutes, respectively. Increased daily documented total activity time predicted earlier wake (between and within: p < .001), later sleep onset that night (within: p < .05), and shorter sleep duration (within: p < .001). These results indicate that daily schedules are an important factor in sleep timing and duration in college students. Clinical Trial: Multi-scale Modeling of Sleep Behaviors in Social Networks; URL: https://clinicaltrials.gov/study/NCT02846077; Registration:NCT02846077.

A high level of fear of missing out (FOMO) is related to many adverse emotions and behaviors, including stress, maladaptive coping, risk-taking, and alcohol consumption. However, previous research on FOMO has not considered particularly vulnerable cohorts like individuals with alcohol use disorder (AUD). In this project, we have conducted two preliminary studies (N1 = 356; N2 = 66) investigating the role of FOMO in alcohol-related coping strategy in a general population of young adults as well as a clinical sample of AUD patients. Results showed that FOMO is a positive predictor of alcohol coping in both studied samples, and it is a positive predictor of health risk-taking among people with AUD. The study identifies high FOMO as a risk factor for adopting maladaptive coping strategies, specifically alcohol coping.

Solitary cannabis use has been associated with greater cannabis problems than social use and may be increasingly prevalent due to pandemic-related isolation. However, little is known about patterns, correlates, and consequences of solitary cannabis use. This study sought to characterize solitary cannabis use since pandemic onset, examine psychosocial risk factors, and examine interactions between solitary and social cannabis use frequency on cannabis consequences. College students (N = 168) who were lifetime cannabis users at a private, northeastern university in the US completed an online cross-sectional survey in fall of 2020. Past-year solitary cannabis use was common among life-time cannabis users (42% past year, 29% monthly or more), especially among past-year regular cannabis users (85% monthly or more). Solitary use frequency was associated with interpersonal sensitivity and pandemic-related stress. Further, solitary use attenuated associations of social use frequency with cannabis consequences, such that social use frequency was associated with greater consequences only among exclusively social users. In contrast, regardless of social use frequency, solitary users reported greater cannabis consequences than exclusively social users. Findings suggest solitary cannabis use is concurrently associated with greater cannabis consequences, and affective risk factors (interpersonal sensitivity, pandemic stress) should be considered for prevention and intervention strategies.

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

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

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

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

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

Many adolescents feel pressure to be constantly available and responsive to others via their smartphones and social media. This phenomenon has been understudied using quantitative methods, and no prior study has examined adolescents' specific stress about meeting digital availability expectations within a best friendship, or entrapment. The present study offers an important preliminary examination of this unique digital stressor in a developmental context by examining prospective associations between digital entrapment, psychosocial adjustment, and health in adolescence.

Students in a rural, lower-income school district in the southeastern US (n = 714; 53.8% female; 45.9% White, 22.7% Black, 24.0% Hispanic/Latino) completed self-report measures of digital entrapment, perceived general health, friendship conflict, and depressive symptoms at two timepoints, one year apart.

Digital entrapment, which 76.3% of the sample reported experiencing, was associated prospectively with higher levels of friendship conflict and worse perceived general health one year later among boys, but not girls. Findings suggest that digital entrapment is an extremely common experience for adolescents that may disproportionally affect boys. Entrapment was not prospectively associated with depressive symptoms.

Results offer insight into how boys may have different social media experiences significant to their development and health, while much work exploring gender differences in social media use thus far has elucidated negative effects for girls. Boys may perceive and respond to novel social norms of digital environments differently such that digital entrapment has the potential to be detrimental to their friendships and health.

Based on the interaction of person-affect-cognition-execution model, this study examined the association between stress perception and problematic social network use among Chinese college students and explored the mediating effect of the fear of missing out (FoMO) on the relationship between stress perception and problematic social network use. A questionnaire survey was conducted among 554 students from nine universities in China. We found that stress perception was significantly positively correlated with problematic social network use and FoMO (r = 0.38, 0.46; p < 0.001), and FoMO was significantly positively correlated with problematic social network use (r = 0.45, p < 0.001). FoMO mediated the relationship between stress perception and problematic social network use. Conclusion: Stress perception has a negative impact on college students' problematic social network use via the mediating effect of FoMO. Practical implications that reveal the college students' problematic social network use were discussed as well.

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

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

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

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

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

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.

To investigate factors associated with poor sleep quality. A cross-sectional study was conducted in 2019 with random sampling. Information on sleep was obtained using the Mini Sleep Questionnaire (MSQ). Independent variables included sociodemographic, behavioural, academic and psychological health characteristics. Adjusted analyzes were performed using Poisson regression. A total of 996 undergraduate students participated in the study. The poor sleep quality affected 23.1% of the sample (95%CI 20.5-25.9), ranging from 13.4% for those with little concern about violence in the neighbourhood to 36.5% for those with less social support. In the adjusted analysis, female sex [PR] 1.81; (95%CI 1.33-2.45), concern about violence in the neighbourhood [PR] 2.21; (95%CI 1.48-3.28), discrimination at university [PR] 1.42; (95%CI 1.08-1.86) and food insecurity [PR] 1.45; (95%CI 1.11-1.89) were associated with the presence of poor sleep quality, as well as having less social support and income and suffering psychological distress. The results highlight socioeconomic and mental health factors that affect sleep quality and demonstrate the need for reflection and interventions capable of minimizing this problem.

In adolescence, peer relationships become crucial since youths start to rely on their peers for support. Thus, multiple facets of adolescents' well-being are affected by their peer relationships. In this vein, one of the central well-being aspects that could be affected by the peer relationships of adolescents is sleep quality. Nevertheless, it is still unclear how multiple peer relationship factors (i.e., positive, negative, emotional, and behavioral issues related to peer relationships) are intertwined with adolescents' sleep quality. For this reason, this systematic review with meta-analysis aims to summarize longitudinal studies to uncover how the interplay between peer relationship factors and adolescents' sleep quality unfolds over time. Nineteen longitudinal studies involving a total of 21,232 adolescents were included. Overall, findings from this review showed that (a) positive peer relationships and sleep quality were not associated over time; (b) negative peer relationships and sleep quality were bidirectionally associated over time; (c) few studies evaluated the bidirectional relations between emotional and behavioral issues and sleep quality, showing links with sleep schedule and duration, but not with sleep quality. Meta-analytic results were discussed, considering their implications.

The complementarity interference (CI) model suggests that the Internet may either inhibit or facilitate interpersonal communications. This paper empirically examines the impact of Internet usage on interpersonal interactions, using a micro dataset from China to answer whether the Internet brings people closer together or further apart. The empirical results demonstrate, first, that Internet usage significantly increases both the time and frequency of people's communications with their family and friends, rather than causing them to feel more disconnected and isolated. Holding other factors constant, for each one-standard-deviation increase in Internet usage, weekly communications with family members increases by an average of 102.150 min, while there is an average increase of 54.838 min in interactions with friends. These findings as to its positive effects are robust when using other regression models and interpersonal contact measures, as well as the instrumental variable method. Second, Internet usage also contributes to decreased loneliness; it exerts this effect primarily by improving people's interactions with their family members. However, communications with friends do not significantly mediate such impacts. Third, the positive role of Internet usage on communications is more prominent for people with more frequent online socialization and self-presentation, better online skills, younger age, higher educational level, and who are living in urban areas. In addition, the beneficial effects of Internet usage are larger for communications with family members in the case of migrants. Therefore, in the context of the rapid development of information technology, the network infrastructure should be improved to make better use of the Internet to facilitate interpersonal communications and promote people's wellness.

To explore the mechanism of the relationship between college students' family functioning and psychotic-like experiences, a chain multi-intermediary model is constructed to investigate the multiple mediating effects of interpersonal adaptation, sleep quality and loneliness on college students' family functioning and psychotic-like experiences.

Seven hundred seven college students in China were surveyed by using the Family Care Index Questionnaire, Loneliness Scale, Pittsburgh Sleep Quality Index Questionnaire, College Students' Interpersonal Adaptability Subscale and Community Assessment of Psychiatric Experiences.

(a) The detection rate of psychotic-like experiences among college students is 72.14%, of which 6.93% reported frequent psychotic-like experiences; (b) There is a significant correlation between family functioning, sleep quality, loneliness, interpersonal adaptation and psychotic-like experiences of college students; (c) Interpersonal adaptation, loneliness and sleep quality of college students have chain multiple mediating effect in the relationship between family functioning and psychotic-like experiences.

The results reveal the mechanism of the relationship between family functioning and psychotic-like experiences, which helps us to better understand how family functioning affects the occurrence and development of college students' psychotic-like experiences.

Sleep is important for physical and mental health. Latinx individuals are thought to experience worse sleep and associated health outcomes, resulting in health disparities. There is a dearth of research on the factors (e.g., employment status, age at immigration) that predict poor sleep among Latinx immigrants. The present study aimed to (1) examine the link between demographic factors, immigration-related factors, and acculturation stress, and sleep, and (2) identify factors that either attenuate or intensify the link between acculturation stress and sleep among Latinx immigrants in the US South, an immigrant-hostile area that is home to an increasing Latinx population that remains understudied. Hierarchical regressions were used to analyze data from 391 Latinx adult immigrants, examining the link between demographic factors, immigration-related factors, acculturation stress, and two sleep variables (sleep quality, difficulty falling asleep). Employment status and age at immigration were examined as moderators of the link between acculturation stress and sleep. Data were collected through in-person surveys. Regressions showed that acculturation stress was significantly linked to worse sleep quality (β = 0.30, p = 0.001) and more difficulty falling asleep (β = 0.41, p < 0.001), while controlling for participant characteristics. Younger age at immigration (β = - 0.14, p = 0.005) and being unemployed (β = - 0.13, p = 0.006) were associated with more difficulty falling asleep. Age at immigration intensified the relationship between acculturation stress and sleep quality (β = 0.14, p = 0.005), difficulty falling asleep (β = 0.15, p = 0.002). Reducing acculturation stress is a meaningful intervention focus, with important implications for sleep health, particularly for recent Latinx immigrants. Age at immigration and employment status are also important factors to consider when designing targeted interventions.

No previous studies have examined the cross-sectional association between fear of missing out (FOMO) and binge-drinking among adolescents. The aim of the present study was: (i) to estimate the magnitude of this association; (ii) to assess the impact of potential confounders (i.e. sensation-seeking, symptoms of depression and self-regulation); and (iii) determine if it is uniform across all levels of these characteristics.

Cross-sectional study of adolescents from 33 middle schools in Norway, stratified according to geographic location, urban and rural locations, and standard of living. Participants were a nation-wide sample of N = 2646 adolescents (mean age 16.2 years, 43% boys). Self-report data were collected on binge-drinking, FOMO, sensation-seeking, symptoms of depression and self-regulation.

Overall, 21% reported binge-drinking ≤ once per month in the past 12 months, while 9% reported binge-drinking more than once per month. Multinomial logistic regression showed that the crude effect, where greater FOMO was associated with greater risk of binge-drinking, was substantial (relative-risk ratio = 1.50 [1.35, 1.66], P < 0.001), but somewhat attenuated after including all potential confounders (relative-risk ratio = 1.28 [1.14, 1.43], P < 0.001). Effect modification analyses showed that the effect of FOMO on binge-drinking ≤ once per month was stronger for adolescents with low symptom levels of depression and weaker for adolescents at high levels of depression.

Norwegian adolescents with higher FOMO have greater risk of binge-drinking.

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

This study aims to determine the relationship between smartphone use among intern nursing students, fear of missing out and their care-related behaviour.

Today, smartphone use is common and fear of missing out is a prominent issue in our society; this behaviour and issue are linked and may lead to adverse consequences.

The study is conducted as a cross-sectional design.

The target population in this research consists of senior nursing students (n = 101). There was no sampling selection and the study was completed with 97 students who agreed to participate in the research. Data were collected with introductory questionnaire forms, the Smartphone Addiction Scale (SAS), the Fear of Missing Out Scale (FoMOs) and the Caring Assessment Questionnaire (Care-Q). The valid and reliable SAS, FoMOs and Care-Q were transformed into online forms and the link was distributed to the participants via online Google forms.

Based on the results of the study, the mean scores were 83.30 ± 2.21 of SAS, 21.56 ± 6.42 for FOMOs and 5.54 ± 0.87 for Care-Q scale. There were statistically significant differences between gender and Care-Q score and between the duration of smartphone use, daily smartphone usage time and SAS score (p < 0.05). There was a weak positive relationship between SAS and FoMOs scale scores, along with a weak negative relationship between the accessibility and comfort sub-dimensions of the SAS and Care-Q scale. Also, the SAS score explains 0.4% of the comfort subscale of the Care-Q scale (p < 0.05).

Further research focusing on nursing students is recommended to identify potential adverse effects created by the use of smartphones and the fear of missing out. In addition, educators are recommended to develop guidelines and prepare new policies for smartphone use to minimise the potential negative effects of smartphone use and fear of missing out on student care behaviour.

The fear of missing out on rewarding social experiences (FOMO) is an increasingly studied psychological construct, related to negative affectivity and increased online social engagement. Yet the heterogeneity of FOMO across individuals is not known. We conducted a latent profile analysis (LPA) of FOMO self-report ratings to determine sample heterogeneity and uncover underlying subgroups (profiles) of participants. We recruited 920 undergraduate participants through a Chinese university for an online survey, administering the FOMO Scale and the Depression Anxiety Stress Scale-21. Results demonstrated support for a four-profile LPA model based on FOMO ratings. Using multinomial logistic regression, more severe latent profiles (i.e., those with the greatest amount of FOMO endorsed) were associated with female sex, and higher stress and anxiety severity. Results suggest four distinct latent profiles based on FOMO ratings; findings are discussed in the context of self-determination theory.

The widespread use of social media on smartphones has lead to the fear of missing out (FoMO) and smartphone addiction among a minority of adolescents and adults. However, few studies have investigated the impact of trait affect on sleep quality via FoMO and smartphone addiction. The present study examined whether FoMO (trait-FoMO and state-FoMO) and smartphone addiction mediated the relationship between positive affect (PA)/negative affect (NA) and sleep quality, and the prevalence of sleep disturbance among Chinese university students.

The sample comprised 1,164 university students and they completed a survey which included the Chinese Trait-State Fear of Missing Out Scale (T-SFoMOS-C), Mobile Phone Addiction Index (MPAI), International Positive and Negative Affect Scale Short-Form (I-PANAS-SF), and the Pittsburgh Sleep Quality Index (PSQI).

The prevalence of sleep disturbance was found to be 15.98% among Chinese university students. The serial multiple mediation effects indicated that PA directly impacted on sleep quality, but the mediation effects of trait-FoMO and state-FoMO were not found. NA impacted on sleep quality via the mediation effects of trait-FoMO/state-FoMO and smartphone addiction.

Negative affect was positively associated with poor sleep quality, which was partially mediated by FoMO and smartphone addiction among Chinese university students. Individuals with high negative affect were more likely to have high levels of FoMO and were more prone to smartphone addiction as well as experiencing poor sleep quality. These findings provide an evidence base for emotion management, prevention of smartphone addiction, and sleep improvement.