ASSOCIATION BETWEEN SOCIAL MEDIA USE AND DEPRESSION AMONG U.S. YOUNG ADULTS

Impact of the COVID-19 pandemic on social media utilization, influences related to parental vaccine decision making, and opinions on trustworthy social media vaccination campaigns: A qualitative analysis

There is a continued need for research to better understand the influence social media has on parental vaccination attitudes and behaviors, especially research capturing the effects of the COVID-19 pandemic. The goal of this study was to explore parents' perspectives related to the impact the pandemic had on 1) social media engagement, 2) vaccine messaging on social media, and 3) factors to guide future intervention development. Between February and March 2022, 6 online, synchronous, text-based focus groups were conducted with parents of adolescents aged 11 to 17 years. Participants who all utilized social media were recruited from across the United States. Qualitative data were analyzed using content analysis. A total of 64 parents participated. Average age was 47 years, and participants were predominantly White (71.9%), female (84.3%), and engaged with social media multiple times per day (51.6%). Participants (95.3%) viewed obtaining all recommended vaccines as important or very important; however, overall vaccination rates for their adolescents were varied (50% ≥1 dose HPV; 59.4% MenACWY; 78.1% Tdap; 65.6% Flu; 81.3% COVID-19). Three themes emerged highlighting the pandemic's impact on parent's (1) general patterns of social media use, (2) engagement about vaccines on social media and off-line behaviors related to vaccination, and (3) perspectives for developing a credible and trustworthy social media intervention about vaccination. Participants reported fatigue from contentious vaccine-related content on social media and desired future messaging to be from recognizable health institutions/associations with links to reputable resources. Plus, providers should continue to provide strong vaccine recommendations in clinic.

The Impact of Mobile Social Media Use on Depressive Mood Among College Students: A Chain Mediating Effect of Upward Social Comparison and Cognitive Overload

Background

The 18-24 age group has a much higher rate of depression risk than other age groups, and this age group has the highest proportion among users of mobile social media. The relationship between the use of mobile social media and depressive mood is inconsistent and the mechanism of action is controversial.

Purpose

This study explored the relationship among the intensity of social media use, upward social comparison, cognitive overload and depressive mood.

Methods

In this research, we used the Brief Self-rating Depression Scale (PHQ-9), the Social Media Usage Intensity Questionnaire, the Social Comparison Scale on Social Networking Sites and the Social Networking Site Cognitive Overload Scale to investigate the depressive mood and mobile social media use of 568 college students.

Results

The intensity of mobile social media use, social networking site upward social comparison, and social networking site cognitive overload are all positively correlated with depressive mood. The intensity of mobile social media use has a positive predictive effect on depressive mood, with upward social comparison and cognitive overload acting as independent mediators in the relationship between mobile social media use intensity and depressive symptoms, as well as exhibiting a chained mediating effect of upward social comparison-cognitive overload.

Conclusion

The upward social comparison and cognitive load that occur during the use of mobile social media are important predictive factors for the occurrence of depressive mood. This study is a supplement to the mechanism of the relationship between mobile social media use and depression, providing more evidence-based evidence and intervention directions for university teachers, mobile social media developers, and psychologists.

Cohort profile: The Social media, smartphone use and Self-harm in Young People (3S-YP) study-A prospective, observational cohort study of young people in contact with mental health services

OBJECTIVES

The Social media, Smartphone use and Self-Harm (3S-YP) study is a prospective observational cohort study to investigate the mechanisms underpinning associations between social media and smartphone use and self-harm in a clinical youth sample. We present here a comprehensive description of the cohort from baseline data and an overview of data available from baseline and follow-up assessments.

METHODS

Young people aged 13-25 years were recruited from a mental health trust in England and followed up for 6 months. Self-report data was collected at baseline and monthly during follow-up and linked with electronic health records (EHR) and user-generated data.

FINDINGS

A total of 362 young people enrolled and provided baseline questionnaire data. Most participants had a history of self-harm according to clinical (n = 295, 81.5%) and broader definitions (n = 296, 81.8%). At baseline, there were high levels of current moderate/severe anxiety (n = 244; 67.4%), depression (n = 255; 70.4%) and sleep disturbance (n = 171; 47.2%). Over half used social media and smartphones after midnight on weekdays (n = 197, 54.4%; n = 215, 59.4%) and weekends (n = 241, 66.6%; n = 263, 72.7%), and half met the cut-off for problematic smartphone use (n = 177; 48.9%). Of the cohort, we have questionnaire data at month 6 from 230 (63.5%), EHR data from 345 (95.3%), social media data from 110 (30.4%) and smartphone data from 48 (13.3%).

CONCLUSION

The 3S-YP study is the first prospective study with a clinical youth sample, for whom to investigate the impact of digital technology on youth mental health using novel data linkages. Baseline findings indicate self-harm, anxiety, depression, sleep disturbance and digital technology overuse are prevalent among clinical youth. Future analyses will explore associations between outcomes and exposures over time and compare self-report with user-generated data in this cohort.

The long-term spatio-temporal trends in burden and attributable risk factors of major depressive disorder at global, regional and national levels during 1990-2019: a systematic analysis for GBD 2019

AIMS

Caused by multiple risk factors, heavy burden of major depressive disorder (MDD) poses serious challenges to public health worldwide over the past 30 years. Yet the burden and attributable risk factors of MDD were not systematically known. We aimed to reveal the long-term spatio-temporal trends in the burden and attributable risk factors of MDD at global, regional and national levels during 1990-2019.

METHODS

We obtained MDD and attributable risk factors data from Global Burden of Disease Study 2019. We used joinpoint regression model to assess the temporal trend in MDD burden, and age-period-cohort model to measure the effects of age, period and birth cohort on MDD incidence rate. We utilized population attributable fractions (PAFs) to estimate the specific proportions of MDD burden attributed to given risk factors.

RESULTS

During 1990-2019, the global number of MDD incident cases, prevalent cases and disability-adjusted life years (DALYs) increased by 59.10%, 59.57% and 58.57%, respectively. Whereas the global age-standardized incidence rate (ASIR), age-standardized prevalence rate (ASPR) and age-standardized DALYs rate (ASDR) of MDD decreased during 1990-2019. The ASIR, ASPR and ASDR in women were 1.62, 1.62 and 1.60 times as that in men in 2019, respectively. The highest age-specific incidence, prevalence and DALYs rate occurred at the age of 60-64 in women, and at the age of 75-84 in men, but the maximum increasing trends in these age-specific rates occurred at the age of 5-9. Population living during 2000-2004 had higher risk of MDD. MDD burden varied by socio-demographic index (SDI), regions and nations. In 2019, low-SDI region, Central sub-Saharan Africa and Uganda had the highest ASIR, ASPR and ASDR. The global PAFs of intimate partner violence (IPV), childhood sexual abuse (CSA) and bullying victimization (BV) were 8.43%, 5.46% and 4.86% in 2019, respectively.

CONCLUSIONS

Over the past 30 years, the global ASIR, ASPR and ASDR of MDD had decreased trends, while the burden of MDD was still serious, and multiple disparities in MDD burden remarkably existed. Women, elderly and populations living during 2000-2004 and in low-SDI regions, had more severe burden of MDD. Children were more susceptible to MDD. Up to 18.75% of global MDD burden would be eliminated through early preventing against IPV, CSA and BV. Tailored strategies-and-measures in different regions and demographic groups based on findings in this studywould be urgently needed to eliminate the impacts of modifiable risk factors on MDD, and then mitigate the burden of MDD.

Natural language sentiment as an indicator of depression and anxiety symptoms: a longitudinal mixed methods study1

The study tested how the use of positive- (e.g. beautiful) and negative-valenced (e.g. horrible) words in natural language and its change in time affects the severity of depression and anxiety symptoms among depressed and non-depressed individuals. This longitudinal mixed methods study (N = 40 participants, n = 1440 narratives) with three measurements within a year showed that at the between-person level the use of negative-valenced words was strongly associated with the increase in anxiety and depression symptoms over time while the use of positive-valenced words was slightly associated with the decrease in anxiety and depression symptom. These effects were not supported for within-person level (i.e. changes in word usage). No significant differences were observed in the effects between depressed and non-depressed groups. Summing up, the overall use of positive- and negative-valenced words (particularly negative-valenced words) had a stronger effect on the severity of psychopathological symptoms than their change over time. The results were discussed in the context of natural language processing and its application in diagnosing depression and anxiety symptoms.

Social media does not elicit a physiological stress response as measured by heart rate and salivary cortisol over 20-minute sessions of cell phone use

The pervasive use of social media has raised concerns about its potential detrimental effects on physical and mental health. Others have demonstrated a relationship between social media use and anxiety, depression, and psychosocial stress. In light of these studies, we examined physiological indicators of stress (heart rate to measure autonomic nervous system activation and cortisol to assess activity of the hypothalamic-pituitary-adrenal axis) associated with social media use and investigated possible moderating influences of sex, age, and psychological parameters. We collected physiological data from 59 subjects ranging in age from 13 to 55 across two cell phone treatments: social media use and a pre-selected YouTube playlist. Heart rate was measured using arm-band heart rate monitors before and during cell phone treatments, and saliva was collected for later cortisol analysis (by enzyme immunoassay) before and after each of the two cell phone treatments. To disentangle the effects of cell phone treatment from order of treatment, we used a crossover design in which participants were randomized to treatment order. Our study uncovered a significant period effect suggesting that both heart rate and cortisol decreased over the duration of our experiment, irrespective of the type of cell phone activity or the order of treatments. There was no indication that age, sex, habits of social media use, or psychometric parameters moderated the physiological response to cell phone activities. Our data suggest that 20-minute bouts of social media use or YouTube viewing do not elicit a physiological stress response.

Influence of social media on psychological health of youth during COVID-19 pandemic

Context

Medical undergraduates, being away from their institutes due to the lockdown, are at a greater risk of being affected by the negative news, which may easily instill fear and panic among them. Therefore, the present study was planned with the objective to study the effects of media exposure on the psychological health of undergraduate medical students at a tertiary health institute.

Aim

To assess the psychological effects of social media/media use and coping mechanisms adopted during the COVID-19 pandemic.

Settings and Design

Tertiary care teaching Institute and Cross-sectional study.

Material and Methods

It is a cross-sectional observational study performed among (under graduate) UG students, which was assessed using a pre-tested questionnaire including the pre-validated DASS-21 scale.

Statistical Analysis

Data collected was entered in MS Excel. Descriptive statistics and correlation of the study variables were analyzed while controlling for demographics using Epi-info software version 7.2.2.

Results

It was observed that around one-fifth of the participants have moderate depression, followed by mild 10.97%; one-fifth of the participants have moderate levels of anxiety 20.41% followed by extremely severe anxiety 13.27% and about two-thirds of the study participants having no stress 64.29% followed by mild stress 14.80% and moderate stress 9.69%.

Conclusion

There was a significant psychological impact of the use of social media among young populations, particularly anxiety, stress, and depression with exposure to negative news and reports on social media platforms.

Digital Being: social media and the predictive mind

Social media is implicated today in an array of mental health concerns. While concerns around social media have become mainstream, little is known about the specific cognitive mechanisms underlying the correlations seen in these studies or why we find it so hard to stop engaging with these platforms when things obviously begin to deteriorate for us. New advances in computational neuroscience, however, are now poised to shed light on this matter. In this paper, we approach the phenomenon of social media addiction through the lens of the active inference framework. According to this framework, predictive agents like us use a 'generative model' of the world to predict our own incoming sense data and act to minimize any discrepancy between the prediction and incoming signal (prediction error). In order to live well and be able to act effectively to minimize prediction error, it is vital that agents like us have a generative model, which not only accurately reflects the regularities of our complex environment but is also flexible and dynamic and able to stay accurate in volatile and turbulent circumstances. In this paper, we propose that some social media platforms are a spectacularly effective way of warping an agent's generative model and of arresting the model's ability to flexibly track and adapt to changes in the environment. We go on to investigate cases of digital tech, which do not have these adverse effects and suggest-based on the active inference framework-some ways to understand why some forms of digital technology pose these risks, while others do not.

Mathematical modelling, analysis and numerical simulation of social media addiction and depression

We formulate a mathematical model of social media addiction and depression (SMAD) in this study. Key aspects, such as social media addiction and depression disease-free equilibrium point (SMADDFEP), social media addiction and depression endemic equilibrium point (SMADEEP), and basic reproduction number (R0), have been analyzed qualitatively. The results indicate that if R0 < 1, the SMADDFEP is locally asymptotically stable. The global asymptotic stability of the SMADDFEP has been established using the Castillo-Chavez theorem. On the other hand, if R0 > 1, the unique endemic equilibrium point (SMADEEP) is locally asymptotically stable by Lyapunov theorem, and the model exhibits a forward bifurcation at R0 = 1 according to the Center Manifold theorem. To examine the model's sensitivity, we calculated the normalized forward sensitivity index and conducted a Partial Rank Correlation Coefficient (PRCC) analysis to describe the influence of parameters on the SMAD. The numerical results obtained using the Fourth-order Runge-Kutta (RK-4) scheme show that increasing the number of addicted individuals leads to an increase in the number of depressed individuals.

Association between children's caregivers time preferences and childhood overweight and obesity in Mexico

BACKGROUND

Parents or children's primary caregivers are a key influence on child weight as both decision makers and role models for eating patterns, physical activity, and other social behaviors. It is unknown whether caregivers' time preferences are associated with overweight or obesity in children. The primary objective was to estimate the association between parents' or caregivers' time preferences and children having overweight or obesity in Mexico.

METHODS

A cross-sectional study was conducted using a representative survey of the Mexican population. A multinomial logistic model was used to examine the association between parents' or caregivers' time preferences (patience and time consistency) and child overweight or obesity, adjusting for potential confounders.

RESULTS

The study included 9,102 children (mean age 10, 43% female) and 5,842 caregivers (mean age 37; 95% female). Intertemporal preference was strongly associated with increased odds of overweight or obesity in children. A medium patient caregiver had higher odds of having overweight (adjusted OR: 1.73; 95% CI: 1.19, 2.52). Similarly, having a caregiver with a present (OR: 2.52; 95% CI: 1.72, 3.70) or future bias (OR: 1.48; 95% CI: 1.11, 1.98) was associated with higher odds of obesity.

CONCLUSION

Caregivers' time preferences were associated with having overweight and obesity in children and should be considered when developing policies to reduce children's obesity status.

Nostalgia, Social Media, and Subjective Wellbeing: The Dualistic and Conditional Effects of Nostalgia During the COVID-19 Pandemic

Drastic lifestyle changes due to the COVID-19 pandemic have caused many people to undergo nostalgic longing for the past. Drawing on the regulatory model of nostalgia, we built a research model to examine the dualistic effects of nostalgia on subjective wellbeing, using self-continuity as a mediator and social media use as a moderator. The findings from an online survey (N = 373) indicated that when nostalgia is associated with an enhanced sense of self-continuity, it has a positive indirect effect on subjective wellbeing. In contrast, when not mediated by such a restorative function, nostalgia has a direct negative impact on subjective wellbeing. Both of these (positive) indirect and (negative) direct effects were moderated by social media usage, suggesting that social media use is a crucial communication-related boundary condition that reinforces or mitigates the dualistic effects of nostalgia. This study offers contributions to the literature by uncovering distinct pathways through which nostalgia carries differing implications for subjective wellbeing in times of crisis, as well as by identifying social media use as a boundary condition under which such dualistic roles of nostalgia manifest.

Exploring discontinuous intentions of social media users: a cognition-affect-conation perspective

Introduction

Drawing on the cognition-affect-conation (C-A-C) framework, this study investigates how perceived information and social and system feature overload induce depression and anxiety, which leads to affect discontinuous intentions of the social media users.

Methods

The data collected from 570 social networking site users in China are analyzed through structural equation modeling (SEM).

Results and Discussion

The findings show that perceived information overload, perceived social overload, and perceived system feature overload directly affect depression and anxiety among social networking site users, which directly leads to discontinuous intentions. This study fulfills the identified need for an in-depth investigation of discontinuous behavior in social networking sites. The findings provide social networking site providers with guidelines on how to actively manage social networking site user's behavior to reduce the effects of negative emotions on social networking sites.

Browsing throughout pregnancy: The longitudinal course of social media use during pregnancy

BACKGROUND

The number of people using social media has substantially increased over the past years. Previous studies have shown associations between social media overuse and mental health problems during pregnancy. The current study evaluates changes in social media use during pregnancy.

METHODS

Pregnant women were recruited at their first antenatal appointment between January 2020 and July 2022 (N = 1135). The time spent on social media, frequency of social media use and problematic social media use, using the Bergen Social Media Addiction Scale (BSMAS), were assessed at 12, 20 and 28 weeks of pregnancy. Pearson r correlations and repeated measures ANOVAs were performed to assess possible changes in social media use over the course of pregnancy. Lastly, we stratified social media use throughout pregnancy for parity.

RESULTS

There was a significant change in social media use over time, for the time spent on social media, frequency of social media use and problematic social media use. Mean social media scores were the lowest at 12 weeks of pregnancy and increased significantly at 20 weeks of pregnancy, after which they remained stable at 28 weeks. Compared to multiparous women, primiparous women spent more time on social media at 20 weeks of pregnancy, but not at 12 or 28 weeks.

CONCLUSION

Because overuse of social media has been associated with poor mental health, healthcare professionals should be aware of the intensity of social media use throughout pregnancy.

Making "Fast Friends" Online in Middle Childhood and Early Adolescence

Close peer relationships are critical to children's and adolescents' healthy development and well-being, yet youth sometimes struggle to make friends. The present work tested whether an online version of the Fast Friends procedure could engender closeness among 9- to 13-year-old youth. Participant dyads (N = 131), matched in age and gender, were randomly assigned to answer personal questions that encourage self-disclosure and play a collaborative game (Fast Friends condition) or to engage in similar activities without self-disclosure or collaboration (control condition). Fast Friends dyads reported feeling closer and expressed more interest in future contact than control dyads. The discussion addresses potential future uses and implications of an online Fast Friends procedure.

The effects of negative social media connotations on subjective wellbeing of an ageing population: A stressor-strain-outcome perspective

In recent years, users' privacy concerns and reluctance to use have posed a challenge for the social media and wellbeing of its users. There is a paucity of research on elderly users' negative connotations of social media and the way these connotations contribute to developing passive behaviour towards social media use, which, in turn, affects subjective wellbeing. To address this research vacuum we employed the stressor-strain-outcome (SSO) approach to describe the evolution of passive social media use behaviour from the perspective of communication overload, complexity, and privacy. We conceptualized subjective wellbeing as a combination of three components-negative feelings, positive feelings, and life satisfaction. Negative and positive feelings were used to derive an overall affect balance score that fluctuates between 'unhappiest possible' and 'happiest possible'. The proposed research framework was empirically validated through 399 valid responses from elderly social media users. Our findings reveal that communication overload and complexity raise privacy concerns among social media users, which leads to passive usage of social media. This passive social media use improved the subjective wellbeing favourably by lowering negative feelings and raising positive feelings and life satisfaction. The findings also revealed that respondents' overall affect balance leans towards positive feelings as a consequence of passive social media use. This study contributes to the field of technostress by illuminating how the SSO perspective aid the comprehension of the way passive social media use influences the subjective wellbeing of its users.

Promoter or barrier? Assessing how social media predicts Covid-19 vaccine acceptance and hesitancy: A systematic review of primary series and booster vaccine investigations

RATIONALE

Prior research indicates that social media is primarily a negative contributor to Covid-19 vaccine outcomes.

OBJECTIVE

The current systematic review of Covid-19 primary series and booster vaccine investigations provides a more nuanced and comprehensive assessment of this association by exploring a) how distinct social media judgments and actions predict different vaccine-related outcomes - perceptions and intentions/uptake, b) both primary series and booster findings, c) types of social media, and d) comparisons across different populations.

METHOD

We conducted a systematic review of published research examining the link between social media and COVID-19 vaccine outcomes - judgments, intentions, and uptake. Overall, we identified 113 published articles.

RESULTS

The findings reveal complex associations between distinct social media predictors and these outcomes. The most consistent negative relationships emerge within studies looking at 'social media as an information source,' 'trust', and 'general social media use/passive exposure' as predictors of less favorable vaccine judgments and intentions/uptake. Conversely, studies focused on 'information seeking' indicate more mixed results. Among the few booster investigations, there are more positive than negative associations between social media predictors and Covid-19 vaccine intentions. Across different social media platforms and sample populations, social media was a less robust/consistent negative predictor of COVID-19 judgments and intentions.

CONCLUSIONS

While social media can contribute to more negative COVID-19 vaccine judgments and motivations, the consistency of this relationship may vary across populations, the platforms users access, and the nature of exposure. Overall, social media campaigns promoting COVID-19 vaccines should employ distinct strategies to target those individuals that value social media as an information resource.

Disinhibited and angry: Investigating the relationship between social disinhibition and the components of aggression following severe TBI

Social disinhibition and aggression share many similarities. But unlike with aggression, research evidence about social disinhibition following severe traumatic brain injury (TBI) is limited and treatments are missing. Establishing the association between aggression and social disinhibition would facilitate a better conceptualization of these disorders. This study aimed to determine the relationship between social disinhibition and aggression following severe TBI.In this case-control study, 25 individuals with severe TBI and 25 control participants completed the Buss-Perry Aggression Questionnaire (BPAQ), Frontal Systems Behaviour Scale (FrSBe), and Social Disinhibition Interview (SDI).Hierarchical multiple regression analyses revealed that, when controlling for covariates, the inclusion of BPAQ Anger in the model led to a 13% increase in proportion of explained variance of social disinhibition (Adjusted R2 increased from .243 to .363, p < .005). BPAQ Anger was not a significant predictor of SDI scores. Similarly, BPAQ Physical aggression scores did not contribute to the prediction of FrSBe Disinhibition or SDI scores.In conclusion, higher levels of self-reported anger (but no other components of aggression) are associated with higher levels of self-reported social disinhibition. While these findings have potential implications for the treatment of social disinhibition, further research into the possible relationship with aggression should be conducted.

Social Media Friendship Jealousy

A new measure to assess friendship jealousy in the context of social media was developed. This one-factor, seven-item measure was psychometrically sound, showing evidence of validity and reliability in three samples of North American adults (Study 1, n = 491; Study 2, n = 494; Study 3, n = 415) and one-, two-, and three-year stability (Study 3). Women reported more social media friendship jealousy than men (Studies 2 and 3) and younger women had the highest levels of social media friendship jealousy (compared with younger men and older men and women; Study 2). Social media friendship jealousy was associated with lower friendship quality (Study 1) and higher social media use and trait jealousy (Study 2). The relation between social media friendship jealousy and internalizing symptoms indicated positive within time associations and longitudinal bidirectional relations (Study 3). Specifically, social media friendship jealousy predicted increases in internalizing problems, and internalizing problems predicted greater social media friendship jealousy accounting for gender and trait levels of social media friendship jealousy and internalizing problems. Anxious and depressed adults may be predisposed to monitor threats to their friendships via social media and experience negative consequences because of this behavior. Although social media interactions can be associated with positive well-being and social connectedness, our results highlight that they can also undermine friendships and mental health due to jealousy.

Reexploring Problematic Social Media Use and Its Relationship with Adolescent Mental Health. Findings from the "LifeOnSoMe"-Study

Purpose

Previous approaches used to assess problematic social media use risk inflating prevalence numbers and classifying unproblematic social media use as problematic. The main aim of this study was to take an exploratory view as to how different types of activities, experiences, and motivations on social media are associated with problematic mental health outcomes in adolescents.

Patients and Methods

This study is based on a cross-sectional survey of 2023 adolescents (mean age 17.4 years (SD 0.9), 44.4% males) from the year 2020. Exploratory graph analysis and exploratory factor analysis were performed on 28 pre-selected items assessing adolescents' use of social media, to identify underlying potentially problematic factors associated with social media use. Sets of gender-adjusted multiple linear regression analyses were performed to assess the degree to which social media factors predicted depression, anxiety, well-being, and time spent on social media.

Results

Three factors were identified: 1) "subjective overuse", 2) "social obligations", and 3) "source of concern". All three factors showed significant positive associations with mental health problems. The factor "source of concern", which identifies feelings of being overwhelmed and concerned over social media use, had the strongest association to mental health problems and simultaneously the weakest association to time spent on social media.

Conclusion

Three identified factors measuring problematic social media use showed positive associations with mental health problems. This lends support to the notion that problematic social media use is a multidimensional phenomenon and demonstrates the need to move beyond addiction criteria when assessing problematic social media use.

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

Background

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

Methods

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

Findings

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

Conclusion

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

A Reasoned Action Approach to Limiting Excessive Social Media Usage Among Adults

The literature on social media suggests a link between use and negative mental health consequences. Numerous theoretical perspectives have attempted to explain the underlying mechanisms for this relationship but are lacking a clear explanation for why some individuals may be negatively impacted by their social media use. Despite a plethora of research on this relationship, minimal research has examined the act of limiting social media use as a promotional behavior. This study takes a fresh approach by investigating attitudinal components that predict intentions to limit social media use via the reasoned action approach. US adults (N = 298) participated in an online survey on excessive social media use. Attitudes, perceived norms, and perceived behavioral control were significant predictors of intentions to limit social media use. In addition, perceived behavioral control was hypothesized to moderate both the attitude to intention and norm to intention relationships in that these associations would be stronger for those with higher control beliefs. Results showed that strong control beliefs strengthened the attitudes to intentions relationship but weakened the norm to intention relationship. Future practical and research directions are discussed to promote limiting social media use and further investigate the negative mental health outcomes of excessive social media.

Association between screen time and depressive symptoms in a sample of Chinese medical students: Mediator role of empathy

Medical students are at high risk of psychological subhealth under heavy stress with increasing screen time. This study aimed to explore the association between screen time and depressive symptoms and determine empathy as a mediating factor. In this cross-sectional study, a total of 945 medical students were surveyed, and 924 medical students were ultimately included after standard exclusion criteria. They reported their daily screen time and completed the Chinese version of the Jefferson Scale of Empathy-Student Version (JSE-S) and the Self-Rating Depression Scale (SDS). t tests and analysis of variance showed a significant difference in empathy and depressive symptoms by sex, stage, and screen time. The correlation analysis revealed that both affective and cognitive empathy have inverse associations with depressive symptoms. The mediation model confirmed that cognitive empathy played a positive mediating role between screen time and depressive symptoms, reducing the impact of screen time on depressive symptoms. Our study may add empirical evidence to prevent and intervene in depressive symptoms. These findings call for considering controlling screen time and enhancing cognitive empathy as interventions for medical students' depressive symptoms.

Trends in migraine incidence among women of childbearing age from 1990 to 2019 and the prediction for 2030: an analysis of national data in China

BACKGROUND

Migraine is a primary headache, which has been producing heavy disease burden globally. There is no data on the incidence of migraine among women of childbearing age worldwide, including China. This study aimed to investigate the time trend in incidence rate of migraine among women of childbearing age in China from 1999 to 2019, and to make a prediction for 2030.

METHODS

Data on migraine incidence and population among women of childbearing age in China were derived from the Global Burden of Diseases Study 2019. Crude and age-standardized incidence rates of migraine (CIR, ASIR) were presented. The trend in migraine during 1990-2019 was examined using annual percent change and average annual percent change based on Joinpoint regression models. Age-period-cohort model was introduced to estimate the independent effect of age, period and cohort on migraine incidence rate among participants over the three decades. Bayesian age-period-cohort analysis was conducted to predict migraine incidence rate for 2030 among women of childbearing age in China.

RESULTS

For women of childbearing age in China, the case number, CIR and ASIR of migraine kept rising, with a cumulative percentage increase of 10.87%, 2.01% and 5.65%, respectively, from 1990 to 2019. An annual percent increase of 0.18% in the ASIR was observed over the three decades. As for the age, period and cohort effects, the adjusted cohort-specific relative risks constantly increased from 0.91 (95% CI: 0.90, 0.93) in the 1940-1949 cohort to 1.04 (95% CI: 1.03, 1.05) in the 1995-2004 cohort, while the period-specific relative risks initially declined from 1.00 (95% CI: 0.99, 1.00) in 1990-1994 cohort to 0.99 (95% CI: 0.98, 0.99) in 1995-1999 cohort, and then increased to 1.04 (95% CI: 1.03, 1.04) in 2015-2019 cohort. Moreover, the age-specific relative risks of migraine followed a bimodal pattern with peaks at the age-group of 25-29 years (CIR = 1718.27/100000) and 35-39 years (CIR = 1635.18/100000). Projection modeling showed that the CIR and ASIR of migraine will continue to significantly increase from 2020 to 2030.

CONCLUSION

Migraine incidence remained an increasing trend from 1990 to 2019 and is projected to continually increase till 2030 among women of childbearing age in China. This study has important public health implication for population-level migraine prevention in China. Precision intervention strategies and approaches shall be considered in campaigns initiated for migraine prevention among Chinese women of childbearing age.

A systematic review on automated clinical depression diagnosis

Assessing mental health disorders and determining treatment can be difficult for a number of reasons, including access to healthcare providers. Assessments and treatments may not be continuous and can be limited by the unpredictable nature of psychiatric symptoms. Machine-learning models using data collected in a clinical setting can improve diagnosis and treatment. Studies have used speech, text, and facial expression analysis to identify depression. Still, more research is needed to address challenges such as the need for multimodality machine-learning models for clinical use. We conducted a review of studies from the past decade that utilized speech, text, and facial expression analysis to detect depression, as defined by the Diagnostic and Statistical Manual of Mental Disorders (DSM-5), using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guideline. We provide information on the number of participants, techniques used to assess clinical outcomes, speech-eliciting tasks, machine-learning algorithms, metrics, and other important discoveries for each study. A total of 544 studies were examined, 264 of which satisfied the inclusion criteria. A database has been created containing the query results and a summary of how different features are used to detect depression. While machine learning shows its potential to enhance mental health disorder evaluations, some obstacles must be overcome, especially the requirement for more transparent machine-learning models for clinical purposes. Considering the variety of datasets, feature extraction techniques, and metrics used in this field, guidelines have been provided to collect data and train machine-learning models to guarantee reproducibility and generalizability across different contexts.

The effect of social media environmental information exposure on the intention to participate in pro-environmental behavior

With the threat of global warming, countries worldwide have enhanced their environmental campaigns on social media to increase users' willingness to take pro-environmental actions. In this study, we examined the direct and indirect effects of exposure to environmental information on Chinese young adults' (18-25 years old) intention to participate in environmental protection actions (e.g., recycling, using public transportation, involvement in an environmental group, and participation in eco-friendly events). Data were collected from a sample of 291 Chinese young adults using a web-based survey and a thoroughly designed questionnaire. The accumulated data were analyzed using SPSS version 20. Hierarchical regression and mediation analysis were performed for testing hypotheses. The results indicated that exposure to environmental information on Chinese social media platforms (WeChat and Xiaohongshu) positively affected individuals' intention to participate in pro-environmental behavior, perceived pro-environmental behavior control, pro-environmental attitude, and fear of victimization. The indirect effect demonstrated that pro-environmental behavior control and attitude mediated the relationship between exposure to environmental information on both WeChat and Xiaohongshu and the intention to participate in pro-environmental behavior. Extending the existing literature, this study provides empirical evidence on the influence of environmental information exposure on the intention to participate in environmental protection among Chinese adults. In addition, it provides valuable insights into the mediating mechanisms involving cognitive, psychological, and emotional factors in this relationship. Policy makers should implement effective pro-environmental promotions on social media to inspire individuals to engage in environmentally friendly actions. In addition, social media managers should strictly authenticate and remove misleading environmental content.

US Soldiers' Individual and Unit-level Factors Associated with Perceptions of Disinformation in the Military Context

INTRODUCTION

Although the US Government considers threats of misinformation, disinformation, and mal-information to rise to the level of terrorism, little is known about service members' experiences with disinformation in the military context. We examined soldiers' perceptions of disinformation impact on the Army and their units. We also investigated associations between disinformation perceptions and soldiers' sociodemographic characteristics, reported use of fact-checking, and perceptions of unit cohesion and readiness.

METHODS

Active-duty soldiers (N = 19,465) across two large installations in the Southwest US completed an anonymous online survey.

RESULTS

Sixty-six percent of soldiers agreed that disinformation has a negative impact on the Army. Thirty-three percent of soldiers perceived disinformation as a problem in their unit. Females were more likely to agree that disinformation has a negative impact on the Army and is a problem in their unit. Higher military rank was associated with lower odds of agreeing that disinformation is a problem in units. Most soldiers were confident about their ability to recognize disinformation (62%) and reported using fact-checking resources (53%), and these factors were most often endorsed by soldiers who agreed that disinformation is a problem for the Army and their unit. Soldiers' perceptions of unit cohesion and readiness were negatively associated with the perception that disinformation is a problem in their unit.

CONCLUSION

While the majority of soldiers viewed disinformation as a problem across the Army, fewer perceived it as problematic within their units. Higher levels of reported fact-checking were most evident among those who perceived disinformation as a problem, suggesting that enhancing awareness of the problem of disinformation alone could help mitigate its deleterious impact. Perceptions of disinformation problems within units were associated with soldiers' perceptions of lower unit cohesion and readiness, highlighting misinformation, disinformation, and mal-information's impact on force readiness. Limitations and future directions are discussed.

Having Social Media among Integrated Plastic Surgery Applicants: Is It Needed to Match?

Background

Little information exists on the perceptions of integrated plastic and reconstructive surgery (PRS) residency applicants on the need for having social media (SoMe) during the application process.

Methods

A cross-sectional survey study was conducted during the 2022 match cycle to assess integrated PRS residency applicants' perceptions on the role of SoMe during the match. Univariate and multivariate analyses were performed on variables of interest. Qualitative analysis was conducted on free-form responses.

Results

Seventy-nine surveys were completed (response rate: 24%). The majority of respondents were educated in the United States (92%). Instagram was the most commonly used SoMe platform (92%). Of those surveyed, 18% thought that SoMe was beneficial to the application process. Twenty-nine percent of respondents agreed that a SoMe presence increases one's chances of matching into PRS residency (41% disagreed and 30% responded neutrally). Forty-four percent endorsed stress about maintaining a SoMe presence in PRS. Having mentors who recommended maintaining a SoMe presence was associated with the belief that SoMe increases one's chances of matching [odds ratio (OR) 8.1, 95% confidence interval (CI) 1.1-40.4, P = 0.011] and stress about maintaining a SoMe presence (OR 6.3, 95% CI 1.2-33.3, P = 0.030). Applicants who did research years had lower odds of experiencing stress (OR 0.16, 95% CI 0.04-0.70, P = 0.015).

Conclusions

The growing role of SoMe in the residency selection process may be exacerbating applicants' stress and anxiety. PRS programs may consider establishing clear policies for how SoMe will be used in evaluating candidates.

Action control and selection in social disinhibition following severe TBI: a pavlovian-to-instrumental transfer and outcome devaluation study

INTRODUCTION

Social disinhibition is a significant sequela of severe traumatic brain injury (TBI). Some research suggests that it could reflect a deficiency in goal-directed behavior. The current study aimed to test whether these inappropriate behaviors tend to be deficient in goal-directed control, that is, triggered more by environmental stimuli than by the known consequences of their actions.

METHOD

We used a between-group design with 25 adult participants with severe TBI, and 27 control participants. Social disinhibition was measured using Frontal Systems Behavior Scale and Social Disinhibition Interview. Changes in reward-related goal-directed behavior were evaluated using a computer-based task in which we assessed the influence of cues predicting reward and of reward devaluation on choice performance.

RESULTS

We found no difference in the levels of social disinhibition between the TBI and control groups and, using mixed two-way ANCOVAs, no overall effect of the stimuli or outcome devaluation. However, after combing these groups and splitting them based on their disinhibition levels, a significant interaction between group (High vs Low disinhibition) and reward type (Valued vs Devalued) in sensitivity to outcome devaluation test (F = 5.99, p = .01, ηp2 = .13) appeared. Comparing with the baseline rate of responding, the Low disinhibition group decreased their responding to devalued and increased their responding to still-valued outcomes. In contrast, the High disinhibition group showed the opposite pattern of choice performance.

CONCLUSIONS

It appears that people with clinical levels of social disinhibition are both prone to outcome-response priming effects and insensitive to changes in the value of the consequences of their actions, that is, despite evidence they were aware of the reduction in the value of their actions's outcomes, people with high-level disinhibition kept performing those actions. This pattern has the hallmarks of a habit suggesting their disinhibition reflects a loss of executive control.

Coping in the Digital Age: Do Coping Strategies Mediate the Link Between Online and In-Person Victimization and Depressive Symptoms?

With increased use of social networking sites in recent years, there has also been an increased opportunity for users to fall prey to bullying victimization. However, little is known about the differences between online and in-person victimization in association with depression or how different coping strategies may mediate this relationship among college students. The goal of the current study was to examine whether there were similarities or differences in the extent to which self-reported online and in-person victimization were associated with depressive symptoms in a sample of 210 undergraduate students (72.9% Women; 85.4% Cauasian), as well as whether different problem- and emotion-focused coping may differentially mediate the links between young adult victimization and depressive symptoms. Participants reported depressive symptoms, problem- and emotion-focused coping, and in-person and online victimization. In-person and online victimization independently predicted emotion-focused coping and depressive symptoms in young adults, and both problem- and emotion-focused coping predicted depressive symptoms. Further, emotion-focused coping partially mediated the effect of in-person victimization and depressive symptoms, suggesting that training more effective coping strategies may be an important intervention target to reduce depressive symptoms for those experiencing bullying victimization. Future research should continue to explore how different coping strategies act as a mechanism between victimization and depressive symptoms.

Social media use as a risk factor for depressive symptoms during pregnancy

BACKGROUND

Accumulating research has shown associations between excessive social media use (SMU) with depressive symptoms. Depression is common during pregnancy, but it is not known whether SMU plays a role in the etiology and clinical course of depressive symptoms during pregnancy.

METHODS

The current study is a prospective cohort study with Dutch-speaking pregnant women recruited at the first antenatal appointment (N = 697). Depressive symptoms were measured at each trimester of pregnancy using the Edinburgh Depression Scale. Growth mixture modeling was used to determine classes of women based on longitudinal trajectories of depressive symptoms. SMU was assessed at 12 weeks of pregnancy, specifically, intensity (time and frequency) and problematic SMU (Bergen Social Media Addiction Scale). Multinomial logistic regression analyses were used to examine the associations between SMU and trajectories of depressive symptoms.

RESULTS

Three trajectories of depressive symptoms during pregnancy were identified: a low stable (N = 489, 70.2 %), intermediate stable (N = 183, 26.3 %), and high stable (N = 25, 3.6 %) class. SMU Time and Frequency were significantly associated with belonging to the high stable class. Problematic SMU was significantly associated with belonging to the intermediate or high stable class.

LIMITATIONS

The study does not allow to draw conclusions about causality. The group sizes of the three trajectories differed considerably. Data were collected during the COVID-19 pandemic which may have influenced the results. SMU was measured by self-report.

CONCLUSIONS

These results indicate that both higher intensity of SMU (time and frequency) and problematic SMU may be a risk factor for higher levels of prenatal depressive symptoms during pregnancy.

Factors Affecting Social Media Addiction in University Students and the Relationship of Social Media Addiction with Depression and Fear of Missing Out

Amaç: Araştırma üniversite öğrencilerinde sosyal medya bağımlılığını etkileyen faktörleri ve sosyal medya bağımlılığının depresyon, gelişmeleri kaçırma korkusu ile ilişkisini belirlemek amacı ile kesitsel olarak yapılmıştır. Yöntem: Çalışma 448 üniversite öğrencisi ile yapılmıştır. Veriler; anket formu, Sosyal Medya Bağımlılığı Ölçeği-Yetişkin Formu (SMBÖ-YF), Üsküdar Gelişmeleri Kaçırma Korkusu Ölçeği (ÜGKKÖ) ve Beck Depresyon Ölçeği (BDÖ) kullanılarak toplanmıştır. Bulgular: Kadın öğrencilerin SMBÖ-YF puan ortalamalarının erkek öğrencilere göre yüksek olduğu ve yaş arttıkça SMBÖ-YF puanının azaldığı görülmüştür. Annenin sosyal medya kullanımının artması, öğrencilerin uyuşturucu madde kullanması, sosyal medya kullanım sıklığının ve tek oturumda sosyal medya kullanım süresinin artması, sosyal medyaya akıllı telefon ile bağlanmak, sosyal medyayı paylaşımda bulunmak amacıyla kullanmak SMBÖ-YF puanını arttırmaktadır. Öğrencilerin SMBÖ-YF puanları ile BDÖ puanları arasında pozitif yönde zayıf düzeyde, SMBÖ-YF puanları ile ÜGKKÖ puanları arasında pozitif yönde orta düzeyde anlamlı ilişki saptanmıştır. Sosyal medya bağımlılığının artmasındaki en güçlü 3 etken sırasıyla; ÜGKKÖ puanı, günlük 3 saatten fazla sosyal medya kullanımı ve BDÖ puanıdır. Sonuç: Öğrencilerin orta düzeyde sosyal medya bağımlılığına sahip olduğu bulunmuştur. Depresyon ve sosyal medya bağımlılığı birbirlerini çift taraflı olarak etkilemektedir. Aynı şekilde gelişmeleri kaçırma korkusu ve sosyal medya bağımlılığı da birbirlerini çift taraflı olarak etkilemektedir. Öğrencilerin sosyal medya bağımlılığının olumsuz sonuçları ve sosyal medya okuryazarlığı hakkında bilgilendirilmesi, bağımlılık ile ilgili kamu spotlarının sosyal medya üzerinden yayınlanmasının sağlanması önerilebilir.

Sustainable Smart Cities-Social Media Platforms and Their Role in Community Neighborhood Resilience-A Systematic Review

The COVID-19 pandemic took most communities off guard and has highlighted gaps in community preparedness and resilience in spite of the numerous technological advancements and the variety of available social media platforms that many relied on during lockdown periods. This served to emphasise the necessity for exploring the roles of social media and smart city technologies in mitigating pandemic impacts. In this systematic literature review, we examined twelve articles on social media usage and smart city technologies and their contributions to community resilience during COVID-19. The analysis focused on the use of social media platforms and smart city technologies during and after lockdown periods, examining their role in fostering community resilience. Results indicate that social media and smart city technologies were instrumental in helping communities adapt and recover from the pandemic. While past studies have examined community resilience, social media, or smart cities separately, there is limited literature collating insights on the three elements combined. We therefore argue that these technologies, employed collaboratively, enhance community resilience during crises. Nevertheless, further research is recommended, particularly on urban resilience and comparative analyses to deepen our understanding of the complex interplay between these variables.

Major depression with co-occurring suicidal thoughts, plans, and attempts: An increasing mental health crisis in US adolescents, 2011-2020

This study aimed to examine national trends and disparities in the prevalence and treatment of adolescent 12-month major depressive episode (MDE) with co-occurring suicidal thoughts, plans, and attempts. Publicly available data for adolescents aged 12-17 in the 2011-2020 National Survey on Drug Use and Health were analyzed. Bivariate and multivariable logistic regression analyses were conducted. In 2011, 4.6%, 2.1%, and 1.7% of adolescents had 12-month MDE with co-occurring suicidal thoughts, plans, and attempts, and the prevalence increased steadily to 9.8%, 5.3%, and 3.5% in 2019, respectively. In 2011, 45% of adolescents with MDE and suicidal thoughts received any mental health treatment, and the prevalence increased slightly to 46.6% in 2019. Meanwhile, the prevalence of treatment use among adolescents with MDE and suicidal plans remained stable at below 54%. Lastly, the prevalence of treatment use increased significantly from 53.6% in 2011 to 60.8% in 2019 among those with MDE and suicidal attempts. Continued high prevalence and low treatment use were observed in 2020. Disparities in treatment use were found in older adolescents, adolescents without insurance, Hispanics, and Asians. Concerted efforts are needed to prioritize evidence-based interventions, enhance outreach to high-risk groups, and expand service provisions to underserved adolescents.

Depression in South Korean Adolescents Captured by Text and Opinion Mining of Social Big Data

Depression in adolescence is recognized as an important social and public health issue that interferes with continued physical growth and increases the likelihood of other mental disorders. The goal of this study was to examine online documents posted by South Korean adolescents for 3 years through the text and opinion mining of collectable documents in order to capture their depression. The sample for this study was online text-based individual documents that contained depression-related words among adolescents, and these were collected from 215 social media websites in South Korea from 1 January 2012 to 31 December 2014. A sentiment lexicon was developed for adolescent depressive symptoms, and such sentiments were analyzed through opinion mining. The depressive symptoms in the present study were classified into nine categories as suggested by the Diagnostic and Statistical Manual for Mental Disorders, 5th Edition (DSM-5). The association analysis and decision tree analysis of data mining were used to build an efficient prediction model of adolescent depression. Opinion mining indicated that 15.5% were emotionally stable, 58.6% moderately stressed, and 25.9% highly distressed. Data mining revealed that the presence of depressed mood most of the day or nearly every day had the greatest effect on adolescents' depression. Social big data analysis may serve as a viable option for developing a timely response system for emotionally susceptible adolescents. The present study represents one of the first attempts to investigate depression in South Korean adolescents using text and opinion mining from three years of online documents that originally amounted to approximately 3.1 billion documents.

Disordered Social Media Use during COVID-19 Predicts Perceived Stress and Depression through Indirect Effects via Fear of COVID-19

The 2019 novel coronavirus disease (COVID-19) is a global threat that can have an adverse effect on an individuals' physical and mental health. Here, we investigate if disordered social media use predicts user stress and depression symptoms indirectly via fear of COVID-19. A total of 359 (timepoint 1 = 171, timepoint 2 = 188) participants were recruited via social media and snowball sampling. They completed an online survey that measured disordered social media use, fear of COVID-19, perceived stress, and depression symptomatology at two cross-sectional timepoints. We found that disordered social media use predicts depression indirectly through fear of COVID-19 at both timepoints. We also found that disordered social media use predicts perceived stress indirectly through fear of COVID-19, but only at timepoint 1. Taken together with previous research, our findings indicate that disordered social media use may lead to increased fear of COVID-19, which in turn may lead to poorer psychological wellbeing outcomes. Overall, there is evidence that the impact of the COVID-19 pandemic is affecting the physical, psychological, and emotional health of individuals worldwide. Moreover, this impact may be exacerbated by disordered use of social media.

The Role of Job Insecurity, Social Media Exposure, and Job Stress in Predicting Anxiety Among White-Collar Employees

Purpose

The purpose of this study is to examine the combined effects and relationships between social media exposure, job insecurity, job stress, and anxiety among individuals and to propose an innovative model exploring how these factors contribute to increased anxiety.

Patients and Methods

This empirical research paper focuses on understanding the role of job insecurity, social media exposure, and job stress in predicting anxiety levels. The study was conducted on a sample of 292 white-collar employees in various organizations and institutions across the United States amid the COVID-19 pandemic and the ongoing economic crisis, during the broader transition to a digital working environment. A self-report Likert-type questionnaire was administered to measure employees' job stress, uncertainty, anxiety levels and social media exposure. The present study employed theoretical background of Lazarus' Theory of Psychological Stress and the JDR Model. Structural equation modeling (SEM) was used to examine the relationships between these constructs, while confirmatory factor analysis (CFA) was conducted to assess the validity of the measurement model.

Results

The study provides empirical support for the claim that employees with pervasive job stress will likely develop anxiety symptoms. It also highlights the mechanisms by which social media exposure increases employees' anxiety levels and how management and policymakers can buffer the stressors.

Conclusion

The research emphasizes the importance of addressing occupational mental health problems, and the implications of the findings indicate the need for managerial interventions in securing effective measures for buffering stress and controlled social media usage. This study contributes to the body of knowledge by informing managers and policymakers on key aspects to consider in promoting psychological balance and a healthy organizational climate.

Sleep, social media use and mental health in female adolescents aged 12 to 18 years old during the COVID-19 pandemic

BACKGROUND

Adolescents with high social media (SM) use experienced poor sleep quality and high anxiety and depression levels. The study aimed to investigate the characteristics of sleep, use of SM, mental health in female aged 12 to 18 years old, and to assess the association between poor sleep, SM usage, and mental health.

METHODS

In total, 219 Thai female adolescents were recruited between December 2019 and September 2020 and completed self-administrative questionnaires three periods of time (baseline, 3 months and 6 months later). The questionnaires included: the Pittsburgh Sleep Quality Index (PSQI), depression screening (PHQ-9), Screen for Child Anxiety Related Emotional Disorders (SCARED). Demographic and use of social media data were also included. Cochran's Q test, correlation coefficient, and binary logistic regression were performed.

RESULTS

Participants' mean age was 14.52 (range 12-17) years. Average Thai-PSQI global scores did not differ during 3 periods (p = 0.13) but average time of sleep latency, sleep duration, and SM usage were significant different (p = 0.002, p = 0.001, and p = < 0.001, respectively). There were positive correlations between PSQI scores and total SM usage at baseline (r = 0.14; P < 0.05) and 6 months (r = 0.20; P < 0.05). Anxiety, depression, and self-perception of poor sleep were significantly related to poor sleep quality during the 3 periods. After adjusting for confounding factors, depression and self-reported poor sleep were the only significant factors predicting poor sleep quality.

CONCLUSIONS

Poor sleep was associated with SM usage, depression, and anxiety in this population. Time-limited SM usage should be implemented for Thai female adolescents to improve sleep-related outcomes.

On the Importance of Mental Health in STEM

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

Evaluating the role of social media in providing support for family caregivers of individuals with spinal cord injury

STUDY DESIGN

Quantitative study.

OBJECTIVES

The study aimed to explore Family Caregivers of Individuals with Spinal Cord Injury (FC-SCI) social media use patterns, most frequently used platforms, importance of social media for receiving and providing support, and type of social support (i.e., social companionship, emotional support, informational support) that FC-SCI receive or provide online.

SETTING

FC-SCI participants from Canada and USA.

METHODS

FC-SCI responded to measures regarding the social media platforms they use to access support, the importance of each platform, and the types of online social support they access through social media.

RESULTS

Sample consisted of 115 FC-SCI. Most caregivers were a partner or spouse of the individual with SCI (n = 110) and female (n = 111). Majority of FC-SCI spent 1-3 h daily on social media (n = 74), and Facebook was used predominantly (n = 108), followed by Instagram (n = 92), and YouTube (n = 66). For receiving or providing support, Facebook was ranked most important (60%), followed by Instagram (26%) and YouTube (17%). The mean differences and standard deviation were found for the types of social support: emotional support (25.93 ± 7.60), social companionship (23.85 ± 7.46), and informational support (27.24 ± 7.50).

CONCLUSIONS

Using social media for informational support is desired by FC-SCI as it is easily accessible, and time-efficient. The prevalent use of social media for support by FC-SCI demonstrates that social media is a valued platform for support. The support benefits for the mental and physical health of caregivers should be further evaluated.

Anxiety and depression amongst youth as adverse effects of using social media : A Review

Social media use has become widely popularized in modern society and because of that, human interactions have drastically changed. In parallel, depression and anxiety have reached unprecedented levels among the youth, and concerns have emerged on social media use compromising mental health. The objectives of our review are to explore if there is a relation between social media and the development of those two disorders among youth, to highlight the patterns that could lead to them, and to give recommendations for future research.

Methods

Based on the Scale for the Assessment of Narrative Review Articles (SANRA) Criteria, the authors performed a search of all-time articles published in the Medline database using terms such as social media, social media use, problematic social media use, depression, anxiety, suicidality, self-harm, fear of missing out, cyberchondria, cyberbullying, sexting, and online shopping. The initial search yielded 184 924 articles. After review, 77 articles were included for discussion.

Results

Social media use is often associated with depression and anxiety. Different patterns are thought to predict poorer mental health outcomes like multitasking, emotional investment, appearance-based activities, passive media use, problematic social media use, cyberbullying, sexting, and disaster awareness.

Conclusion

Specific patterns of engagement with social media appear to be associated with poor mental health outcomes in youth. It is important for physicians to address social networks exposure in well-visits and for parents to communicate about it openly. However, more in-depth research needs to be done to determine a relation of causality.

Assessment of depression and anxiety in young and old with a question-based computational language approach

Middle aged adults experience depression and anxiety differently than younger adults. Age may affect life circumstances, depending on accessibility of social connections, jobs, physical health, etc, as these factors influence the prevalence and symptomatology. Depression and anxiety are typically measured using rating scales; however, recent research suggests that such symptoms can be assessed by open-ended questions that are analysed by question-based computational language assessments (QCLA). Here, we study middle aged and younger adults' responses about their mental health using open-ended questions and rating scales about their mental health. We then analyse their responses with computational methods based on natural language processing (NLP). The results demonstrate that: (1) middle aged adults describe their mental health differently compared to younger adults; (2) where, for example, middle aged adults emphasise depression and loneliness whereas young adults list anxiety and financial concerns; (3) different semantic models are warranted for younger and middle aged adults; (4) compared to young participants, the middle aged participants described their mental health more accurately with words; (5) middle-aged adults have better mental health than younger adults as measured by semantic measures. In conclusion, NLP combined with machine learning methods may provide new opportunities to identify, model, and describe mental health in middle aged and younger adults and could possibly be applied to the older adults in future research. These semantic measures may provide ecological validity and aid the assessment of mental health.

The association between passive social network usage and depression/negative emotions with envy as a mediator

This study aimed to investigate the relationships between passive social network usage (PSNU) and depression/negative emotions over time with the mediating role of envy among Vietnamese adolescents. First, it revealed that PSNU had a simultaneous effect on depression/negative emotions as well as at different time points, indicating that social network site behaviors can predict psychological states over time (explained by the social comparison theory). Second, the autoregressive effect also confirmed a potential reciprocal relationship between PSNU and depression, whereas PSNU appeared to have an impact on negative emotions but not the other way around. Specifically, depression at Time 1 was positively associated with PSNU at Time 2, whereas negative emotions did not exhibit a similar pattern (explained by the cognitive dissonance theory). The different associations were interpreted as depression having cognitive elements, while negative emotions were thought to be purely emotional states. The results demonstrated that behavior may potentially have a long-lasting effect on mental health (both negative emotions and depression), while it was depression, rather than negative emotions, that had a long-term effect on behaviors. Third, envy played a mediating role that connected the changes of PSNU and depression/negative emotions. The implications and limitations of these findings are discussed.

Social support as the mediator for the relationship between internet gaming disorder and psychological problems among university students

BACKGROUND

There has been increasing recognition of internet gaming disorder as a psychiatric problem that is linked with serious impairment and distress and correlated with psychological reactions and social consequences. Thus, this study proposed that psychological problems (stress, anxiety, and depression) and social support could be associated with IGD and social support had a mediating role between these psychological problems and IGD among university students in Jordan.

METHODS

A cross-sectional, descriptive correlational design was adopted. The university students (N = 1020) were selected randomly from four universities (two public and two private) in Jordan. A self-structured questionnaire was used to collect data using the Internet Gaming Disorder Test (IGD-20 Test), Depression Anxiety Stress Scales-21 (DASS-21), Multidimensional Social Support Scale (MSPSS), and sociodemographic data.

FINDINGS

Findings of this study found that the mean age of the participants was 21.38 (S.D ± 2.12) and 55.9% of them were males The prevalence of internet gaming disorder was 12.16% among the participants, where the cut-off point for internet gaming disorder was 71 out of 100. Internet gaming disorder was significantly correlated with stress, anxiety, social support, and depression. However, stress, anxiety, and social support had a direct effect on internet gaming disorder, while social support had the strongest effect on internet gaming disorder. It was found that social support had a mediating role between anxiety and stress (β = -0.172, T-Statistics = 3.92, p < 0.001; β = -0.268, T-Statistics = 5.45, p < 0.001, respectively) and internet gaming disorder (p < 0.001).

CONCLUSION

This study can help policymakers and instructors develop health education programs and/or health training programs that focus on using social support as a coping method when experiencing psychological problems including stress and anxiety and adopt social support in management programs for excessive use of internet gaming.

Relationships between Depression, Fear of Missing Out and Social Media Addiction: The Mediating Role of Self-Esteem

The present study examines the relationships between depression, self-esteem, fear of missing out, online fear of missing out, and social media addiction in a sample of 311 Italian young adults (66.2% women and 33.8% men), ages 18-35 yrs. (M = 23.5; SD = 3.5). The following hypotheses were tested: that depression is positively correlated with fear of missing out, online fear of missing out, and social media addiction, while being significantly negatively correlated with self-esteem; that depression, self-esteem, fear of missing out, and online fear of missing out explain social media addiction scores; that self-esteem mediates the relationship between depression and social media addiction; and that, among Italian participants between the ages of 18 and 35, younger women report higher scores on fear of missing out, online fear of missing out, and social media addiction. Results strongly supported the hypotheses. Taken together, our findings not only contribute to the growing body of research on online addictive behaviors and individuals' well-being, but also provide support for prevention programs in the field.

Should I post? The relationships among social media use, emotion recognition, and mental health

Introduction

While increased time spent on social media can be negatively related to one's overall mental health, social media research often fails to account for what behaviors users are actually engaging in while they are online. The present research helps to address this gap by measuring participants' active and passive social media behavioral styles and investigates whether and how these two social media behavioral styles are related to depression, anxiety, and stress, and the mediating role of emotion recognition ability in this relationship.

Methods

A pre-study (N = 128) tested whether various social media behaviors reliably grouped into active and passive behavioral styles, and a main study (N = 139) tested the relationships between social media use style, emotion recognition, and mental health.

Results

While we did not find evidence of a mediating relationship between these variables, results supported that more active social media use was related to more severe anxiety and stress as well as poorer emotion recognition skill, while passive social media use was unrelated to these outcomes.

Discussion

These findings highlight that, beyond objective time spent on social media, future research must consider how users are spending their time online.

Prevalence and Determinants of Social Media Addiction among Medical Students in a Selected University in Saudi Arabia: A Cross-Sectional Study

Social media addiction has become a serious public health concern due to its adverse psychological effects. Therefore, the purpose of this study was to assess the prevalence and determinants of social media addiction among medical students in Saudi Arabia. A cross-sectional study was designed. Participants (n = 326) from King Khalid University in Saudi Arabia completed the sociodemographic information, patient health questionnaire-9 scale, and the generalized anxiety disorder-7 tool to measure explanatory variables. The Bergen social media addiction scale (BSMAS) was used to measure social media addiction. A multiple linear regression model was fitted to investigate the predictors of social media addiction. The prevalence of social media addiction among study participants was 55.2% (mean BSMAS score: 16.6). According to the adjusted linear regression, male students had higher social media addiction scores than their female counterparts (β = 4.52, p < 0.001). Students' academic performance was negatively associated with social media addiction scores. Moreover, students with symptoms of depression (β = 1.85, p = 0.005) or anxiety (β = 2.79, p = 0.003) had a higher BSMAS score compared to their counterparts. Further longitudinal studies are warranted to identify the causal factors of social media addiction, which would assist intervention initiatives by policymakers.

Effects of media exposure on PTSD symptoms in college students during the COVID-19 outbreak

Objective

We aimed to investigate the influence of media on college students' mental health during the COVID-19 pandemic.

Methods

After the COVID-19 outbreak, we used cross-sectional surveys through online questionnaires to investigate the mental health of college students in lockdown at home. We identified the influencing factors of PTSD symptoms using the Chi-Square test and ordinal logistic regression analysis.

Results

In 10,989 valid questionnaires, 9,906 college students with no PTSD symptoms, 947 college students with subclinical PTSD symptoms (1-3 items), and 136 college students with four or more PTSD symptoms were screened out. The results showed that media content impacted the mental health of college students in lockdown at home. Positive media content was negatively correlated with PTSD symptoms among college students. PTSD symptoms were not associated with sources of information. Moreover, College students with PTSD symptoms would reduce their willingness to learn and could not complete online learning efficiently.

Conclusion

PTSD symptoms are related to media exposure and excessive information involvement of COVID-19 in college students, which influences the willingness to attend online classes.

Spanish validation of two social media appearance-related constructs associated with disordered eating in adolescents: The Appearance-related Social Media Consciousness scale (ASMC) and the Critical Thinking about Media Messages scale (CTMM)

Appearance-related constructs underlying social media are negatively associated with mental health. However, their impact on the Spanish population is still unexplored. The present study aimed to validate the Spanish versions of two appearance-related scales: (1) the appearance-related social media consciousness (ASMC) scale; and (2) the critical thinking about media messages (CTMM) scale. Translation and cultural adaptation of the scales were carried out. The scales' psychometric properties were assessed using exploratory and confirmatory factor analyses, measurement invariance across gender (boys vs. girls) and age groups (early adolescents vs. middle adolescents), internal consistency, and convergent validity. The sample included 803 Spanish secondary school adolescents aged between 12 and 18 (M_age = 15.1, 47.9% girls, 47.2% boys, 4.9% non-binary gender/others). The exploratory factor analyses replicated original one-factor structures of both scales, which was verified using confirmatory factor analysis. Regarding the ASMC Scale, a re-specified model (allowing for error correlations between Items 1-2) presented an adequate fit. Both models were invariant across gender and age groups. Excellent internal consistency was found. Bivariate correlations between the ASMC and eating disorders related variables (body esteem, disordered eating, self-esteem, sociocultural attitudes towards appearance, and general mental health) supported its convergent validity and proved ASMC to be a potential target for future preventive eating disorder interventions. However, the CTMM scale correlated only with sociocultural pressures, thus, further research is needed to assess the validity of the CTMM in Spanish samples.