Associations Between Problematic Internet Use and Mental Health Outcomes of Students: A Meta-analytic Review

Unraveling the core symptoms across distinct trajectories of problematic Internet use among 27,577 adolescents: Cross-lagged panel network analyses

Problematic Internet Use (PIU) often begins in adolescence and develops along diverse trajectories. Understanding the interaction between PIU symptoms and identifying the core PIU symptoms that drive distinct trajectories among adolescents are crucial. We employed cross-lagged panel network analyses to examine temporal relationships of PIU symptoms among Chinese adolescents across four developmental trajectories over two time points. A total of 27,577 adolescents (Mean age = 13.8, SD = 1.5) participated in this study. Demographic variables and PIU symptoms were collected from December 17 to 26, 2021 (T1) and from May 17 to June 5, 2022 (T2). The symptom "Reluctant to stop" in the resilient group and "Uncontrollable checking" in the alleviating group at T1 were most predictive of remission of other symptoms at T2, while "Empty life" in the deteriorating group and "Feeling of missing" in the persistent dysfunction group were most strongly associated with worsening of other PIU symptoms. Improving self-control is likely to promote healthy and beneficial Internet use among adolescents, while enhancing social connection and fostering exercise habits may help mitigate negative emotions and reduce the emergence of additional PIU symptoms among adolescents who have developed PIU.

The longitudinal association between problematic Internet use and psychotic-like experiences in adolescents: Mediated by sleep disturbance and moderated by psychological resilience

Problematic Internet use (PIU) has been empirically identified as a risk factor for future psychotic-like experiences (PLEs) among adolescents. This study aimed to examine the short-term predictive role of PIU on PLEs in adolescents and investigate their underlying mechanisms, focusing on the mediating role of sleep disturbance and the moderating role of psychological resilience. A total of 27,260 Chinese adolescents (52.2 % males, Meanage = 14.33 ± 1.49) were included for analyses in this two-wave longitudinal study conducted six months apart. The baseline survey (time 1, T1) was between December 17 and 26, 2021, and the follow-up survey (time 2, T2) was between May 17 and June 5, 2022. Participants reported their socio-demographics, T1 PIU, T1 sleep disturbance, T1 resilience, T1 PLEs, T2 PLEs, and T2 negative life events. After controlling for socio-demographics, T1 PLEs, and T2 negative life events, T1 PIU exacerbated T2 PLEs directly and indirectly through T1 sleep disturbance, with T1 resilience moderating both parts of the mediation pathway. These findings provide novel insights into the mechanisms linking PIU to PLEs among adolescents and offer valuable implications for clinical practice and school policy.

Internet addiction affects college students' intuitive eating over physical activity: Evidence from multiple studies

Intuitive eating is a key focus in health psychology and has been closely linked to negative emotions, particularly among college students. A study examining the protective and risk factors influencing students' intuitive eating could be valuable in helping them manage their weight and improve their emotional well-being. We therefore examined the effects of physical activity and internet addiction. A total of two studies were conducted: a questionnaire survey and an ecological transient assessment. Ultimately, we found that physical activity did not influence students' intuitive eating. However, we found that internet addiction negatively influenced college students' intuitive eating, both in terms of immediate and short-term delayed effects. Using multiple studies, we found that physical activity was not a predictor of intuitive eating and that internet addiction had both immediate and short-term delayed effects on intuitive eating. Furthermore, there was no interaction effect between the two.

Examining the interrelationships of school connectedness, social anxiety, and problematic social network use in adolescents

INTRODUCTION

While social networks have become an integral part of people's lives, they also bring the potential for negative consequences, with problematic social network use emerging as a noteworthy concern, especially among adolescents. Guided by social control theory, this study examined bidirectional relationships between problematic social network use and its influencing factors: school connectedness and social anxiety.

METHODS

Random intercept cross-lagged panel models were employed to examine the bidirectional relationships among school connectedness, social anxiety, and problematic social network use. Data were collected using the School Connectedness Scale, the Social Interaction Anxiety Scale, and the Evaluation Tool for Problematic Mobile Social Network Usage. Measurements were taken at three different times, each 6 months apart, over the course of 1 year (Time 1-3; T1 in November 2020). A total of 1684 Chinese adolescents (45.23% boys, Mage = 14.66, SD = 1.30) from a secondary school in Chaozhou City, Guangdong Province, China, participated in the study.

RESULTS

The results indicated school connectedness and problematic social network use negatively predicted each other over time. In contrast, a positive bidirectional relationship was found between social anxiety and problematic social network use.

CONCLUSIONS

The findings have important implications for the development of targeted intervention strategies aimed at promoting healthy online habits and preventing the escalation of problematic social network use among adolescents. By highlighting the dynamic interplay between school connectedness, social anxiety, and social network use, this study contributes to a deeper understanding of these issues and lays the groundwork for future research and interventions aimed at supporting adolescents in navigating the digital landscape.

Associations of social network use and social network addictive behaviors with self-esteem in adolescents: the EHDLA study

Objective

The aim of the present study was to examine the relationships of social network (SN) use and SN addictive behaviors with self-esteem in Spanish adolescents. The use of specific social media platforms and their associated addictive behaviors related to self-esteem were also evaluated.

Methods

This cross-sectional study used secondary data from the Eating Healthy and Daily Life Activities (EHDLA) project, which included a representative sample of adolescents aged 12-17 years from the Valle de Ricote in the Region of Murcia, Spain. The sample consisted of 632 adolescents. Addiction and SN use were assessed via the Short Social Media Addiction Scale, and self-esteem was assessed via the Rosenberg Self-Esteem Scale. Generalized linear regression analyses with Gaussian distributions were conducted to calculate unstandardized beta coefficients (B) and their 95% confidence intervals (CIs). Sociodemographic, lifestyle, and anthropometric data were included as covariates.

Results

In terms of SN use, Instagram was the most accepted, in contrast to Facebook, which was the least used. The most notable addictive behaviors toward SN use included salience (i.e., when using SNs is the major concern and the priority motivation) and tolerance (i.e., when increasing use is desired). Furthermore, self-esteem levels decreased as adolescent's addiction levels increased. In the adjusted model, an increase in each addictive behavior was associated with a significant decrease in self-esteem (B = -0.699; 95% CI -0.890 to -0.508; p < 0.001). Individually, there was a negative and significant association between Twitter use and self-esteem (B = -0.356; 95% CI -0.695 to -0.017; p = 0.040). With respect to addictive behaviors toward SNs, mood modification showed the strongest negative association with self-esteem (B = -2.580; 95% CI -3.192 to -1.968; p < 0.001), followed by conflict (B = -1.410; 95% CI -2.147 to -0.673; p < 0.001), relapse (B = -1.350; 95% CI -1.999 to -0.701; p < 0.001), tolerance (B = -0.928; 95% CI -1.596 to -0.260; p = 0.007), salience (B = -0.892; 95% CI -1.623 to -0.161; p = 0.017), and finally, withdrawal behaviors (B = -0.170; 95% CI -1.905 to -0.435; p = 0.002), all of which were significantly negatively associated with self-esteem in adolescents.

Conclusions

SN use and SN addictive behaviors could significantly affect adolescent's self-esteem. The findings suggest that the use of Twitter and certain addictive behaviors, such as tolerance, salience, mood modification, relapse, withdrawal, or conflict are particularly linked to lower self-esteem. These results highlight the need to develop strategies aimed at promoting healthy engagement with SN platforms and fostering adolescent's psychological well-being.

New Perspective on Digital Well-Being by Distinguishing Digital Competency From Dependency: Network Approach

BACKGROUND

In the digital age, there is an emerging area of research focusing on digital well-being (DWB), yet conceptual frameworks of this novel construct are lacking. The current conceptualization either approaches the concept as the absence of digital ill-being, running the risk of pathologizing individual digital use, or follows the general subjective well-being framework, failing to highlight the complex digital nature at play.

OBJECTIVE

This preregistered study aimed to address this gap by using a network analysis, which examined the strength of the relationships among affective (digital stress and web-based hedonic well-being), cognitive (online intrinsic needs satisfaction), and social (online social connectedness and state empathy) dimensions of DWB and their associations with some major DWB protective and risk factors (ie, emotional regulation, nomophobia, digital literacy, self-control, problematic internet use, coping styles, and online risk exposure).

METHODS

The participants were 578 adults (mean age 38.7, SD 13.14 y; 277/578, 47.9% women) recruited from the United Kingdom and the United States who completed an online survey. Two network models were estimated. The first one assessed the relationships among multiple dimensions of DWB, and the second examined the relationships between DWB dimensions and related protective and risk factors.

RESULTS

The 2 resulting network structures demonstrated high stability, with the correlation stability coefficients being 0.67 for the first and 0.75 for the second regularized Gaussian graphical network models. The first network indicated that all DWB variables were positively related, except for digital stress, which was negatively correlated with the most central node-online intrinsic needs satisfaction. The second network revealed 2 distinct communities: digital competency and digital dependency. Emotional regulation emerged as the most central node with the highest bridge expected influence, positively associated with emotion-focused coping in the digital competency cluster and negatively associated with avoidant coping in the digital dependency cluster. In addition, some demographic differences were observed. Women scored higher on nomophobia (χ24=10.7; P=.03) and emotion-focused coping (χ24=14.9; P=.01), while men scored higher on digital literacy (χ24=15.2; P=.01). Compared with their older counterparts, younger individuals scored lower on both emotional regulation (Spearman ρ=0.27; P<.001) and digital self-control (Spearman ρ=0.35; P<.001) and higher on both digital stress (Spearman ρ=-0.14; P<.001) and problematic internet use (Spearman ρ=-0.25; P<.001).

CONCLUSIONS

The network analysis revealed how different aspects of DWB were interconnected, with the cognitive component being the most influential. Emotional regulation and adaptive coping strategies were pivotal in distinguishing digital competency from dependency.

The Moderated Mediating Effects of Social Media Identity and Loneliness on the Relationship Between Problematic Internet Use and Mental Health in China: Nationwide Cross-Sectional Questionnaire Study

BACKGROUND

Mental health disorders are a major public health challenge, and problematic internet use (PIU) may play an important role in this issue. However, the underlying mechanisms of PIU and its effects on mental health have not yet been elucidated.

OBJECTIVE

This study examines the mediating effect of loneliness on the relationship between PIU and mental health, as well as the moderating effect of social media identity on the relationships among PIU, loneliness, and mental health.

METHODS

A cross-sectional questionnaire survey was conducted on 21,292 participants recruited using a multistage stratified sampling strategy from 31 provinces/regions in mainland China from June 20 to August 31, 2022. This study assesses PIU (PIU questionnaire-short form-6), depression (9-item Patient Health Questionnaire [PHQ-9]), anxiety (7-item Generalized Anxiety Disorder scale [GAD-7]), loneliness (3-item loneliness scale), and social media identity (identity bubble reinforcement scale). Additionally, we collected the sociodemographic characteristics of the participants. Participants whose total score of PHQ-9≥15 or total score of GAD-7≥10 were considered to have moderate or severe symptoms of depression or anxiety, respectively. A moderated mediation model was established to examine the mediating effect of loneliness on the association between PIU and mental health outcomes (depression and anxiety), moderated by social media identity.

RESULTS

Approximately 22.80% (4854/21,292) and 14.20% (3023/21,292) of the respondents reported moderate or severe symptoms of depression and anxiety, respectively. Loneliness significantly mediated the association between PIU and mental health outcomes, explaining 42.53% and 45.48% of the total effect of PIU on depression and anxiety, respectively. Social media identity significantly moderated the associations between PIU and depression (β=0.002, 95% CI 0.001-0.002), PIU and anxiety (β=0.001, 95% CI 0.000-0.002), loneliness and depression (β=0.010, 95% CI 0.007-0.013), and loneliness and anxiety (β=0.007, 95% CI 0.004-0.010), but not between PIU and loneliness (β=0.000, 95% CI -0.003 to 0.003). Higher levels of social media identity were significantly associated with lower levels of loneliness (β=-0.018, 95% CI -0.020 to -0.016).

CONCLUSIONS

Addressing loneliness may serve as a valuable approach to mitigate the impact of PIU on mental health outcomes. However, social media identity poses a significant challenge in addressing health issues linked to PIU.

FoMO and Socio-Emotional e-Competencies as Predictors of Media Multitasking, Phubbing and Cybergossip in University Students: Transnational Differences Between Mexico and Spain by Gender

There are clear signs of the growing use of the internet across all cultures, which generate new behaviors in the virtual environment such as media multitasking, phubbing, and cybergossip, all associated with online risks and less positive modes of socialization. FoMO (Fear of Missing Out) along with virtual emotional experiences could be relevant predictors, where literature suggests that FoMO is a trigger for problematic social media use, and socio-emotional e-competencies facilitate adaptive behaviors in virtual environments. Hence, understanding which variables predict these phenomena is crucial and whether they can be generalized across different countries. The objective of this study is to analyze whether two dimensions of socio-personal development used to interact in virtual environments, FoMO (Fear of Missing Out) and socio-emotional e-competencies (e-COM), are predictors of different cyberbehaviors (cybergossip, phubbing and media multitasking) in university students from two different countries. It also aims to verify if socio-emotional e-competencies act as a moderator of this relationship. In order to achieve this, we used a sample of 1524 university students from Mexico and Spain (19.74 years old). The results of the path analysis models show that FoMO is the strongest predictor of the three online behaviors regardless of country and gender, especially in the case of phubbing. In addition, socio-emotional e-competencies help to explain the behaviors in a differential way for each country, and the dimension of e-self-control of impulsivity plays a moderating role in FoMO in the case of phubbing and media multitasking. Some differences between countries and genders are discussed.

The Association Between Internet Addiction and Adolescents' Mental Health: A Meta-Analytic Review

This study examines the association between problematic internet use, or internet addiction, and adolescent mental health, focusing on key psychological variables, assessing the strength of these associations, and identifying potential moderating factors.

METHODS

A search of the Web of Science databases over the past five years identified 830 articles. Of these, 33 met the inclusion criteria, involving 303,243 participants (average age 14.57; 49.44% female). The selection process was verified by two researchers.

RESULTS

Nine psychological variables were analyzed: depression, anxiety, stress, suicidal behaviour, psychological well-being, self-esteem, externalizing problems, aggressiveness, and impulsiveness. Internet addiction showed positive correlations with aggressiveness (r+ = 0.391), depression (r+ = 0.318), anxiety (r+ = 0.252), and suicidal behaviour (r+ = 0.264). Negative correlations were observed with psychological well-being (r+ = -0.312) and self-esteem (r+ = -0.306). No significant associations were found for externalizing problems, impulsiveness, or stress. None of the moderators showed a significant correlation with internet addiction and depression.

CONCLUSIONS

Although limited by small sample sizes for some variables and the cross-sectional design of most studies, the findings confirm that there is a negative relationship between internet addiction and adolescent mental health. It is related to poorer self-perceived health, greater psychological distress, and greater aggression.

The relationship between problematic internet use and psychological distress in older Chinese teachers (40+) during different stages of the COVID-19 pandemic: three cross-sectional studies

Background

Despite a consensus on the negative implications of problematic internet use (PIU) for mental health, there is a notable gap in research concerning older demographics, particularly older teachers. This study aimed to investigate the prevalence of PIU and its impact on the mental wellbeing of this population.

Methods

Three sub-studies were conducted: Study 1 (2020) investigated how fear induced by COVID-19 influenced PIU and psychological distress among 3,929 older teachers. Study 2 (2021) examined the effects of PIU on psychological needs thwarting (the frustration of basic psychological needs) and psychological distress, involving 3,502 participants. Study 3 (2022) explored the impact of PIU on occupational burnout and psychological distress, with 1,276 participants. The Generalized Linear Model in Jamovi 2.3.23 was used to evaluate the three mediation models.

Results

The three sub-studies revealed a high prevalence of PIU among older teachers (27.4% in Study 1, 27.4% in Study 2, and 24.5% in Study 3). High levels of PIU were associated with elevated psychological distress during the 3 years of the COVID-19 pandemic. In Study 1, fear of COVID-19 indirectly influenced psychological distress through PIU as a mediator. In Studies 2 and 3, respectively, psychological needs thwarting and occupational burnout mediated the relationship between PIU and psychological distress.

Conclusion

This study confirmed the high prevalence of PIU among older school teachers and the detrimental effect of PIU on psychological needs thwarting, occupational burnout, and psychological distress. Given these findings, education authorities and school management should take proactive steps to mitigate PIU and ensure the health and wellbeing of older teachers.

The impact of family climate on problematic internet use: Findings from one nationwide study in China

BACKGROUND

With the growing attention paid to problematic internet use (PIU), this study aims to i) explore the prevalence of PIU based on a nationally representative sample and ii) propose and validate the theoretical model that correlates family climate with PIU.

METHODS

One national cross-sectional study was conducted with probability sampling and stratified sampling. Overall, 21,854 sample were included and analyzed. Validated measures of family climate, loneliness, and PIU was distributed and collected from June 2022 to August 2022.

RESULTS

The overall prevalence of PIU in the sample population is approximately 30.86 %. The model findings showed that family communication and family health had indirect effects of -0.12 and - 0.05 on PIU by the mediating effects of loneliness. The indirect effect explained 80.0 % of the total effect of family communication on PIU and 38.5 % of family health on PIU, highlighting the dominance effects of path family communication and PIU via loneliness. Extended family type (-0.047, p = 0.050), low family income (income≤3000 group, -0.127, p < 0.001) were identified as protective factors against PIU, while not living with family members (0.034, p = 0.021) was identified as risk factors of PIU.

LIMITATIONS

The nature of cross-sectional data have the limitation of preventing examining the casual relationships of PIU and the loneliness and family climate, in which future longitudinal study design is needed.

CONCLUSIONS

The high prevalence of PIU should be given adequate attention. Optimizing the family climate or family atmosphere by improving positive communication skills, providing family support and family health external resources can be served as effective strategies for controlling PIU.

Assessment of non-fatal injuries among university students in Hainan: a machine learning approach to exploring key factors

Background

Injuries constitute a significant global public health concern, particularly among individuals aged 0-34. These injuries are affected by various social, psychological, and physiological factors and are no longer viewed merely as accidental occurrences. Existing research has identified multiple risk factors for injuries; however, they often focus on the cases of children or the older adult, neglecting the university students. Machine learning (ML) can provide advanced analytics and is better suited to complex, nonlinear data compared to traditional methods. That said, ML has been underutilized in injury research despite its great potential. To fill this gap, this study applies ML to analyze injury data among university students in Hainan Province. The purpose is to provide insights into developing effective prevention strategies. To explore the relationship between scores on the self-rating anxiety scale and self-rating depression scale and the risk of non-fatal injuries within 1 year, we categorized these scores into two groups using restricted cubic splines.

Methods

Chi-square tests and LASSO regression analysis were employed to filter factors potentially associated with non-fatal injuries. The Synthetic Minority Over-Sampling Technique (SMOTE) was applied to balance the dataset. Subsequent analyses were conducted using random forest, logistic regression, decision tree, and XGBoost models. Each model underwent 10-fold cross-validation to mitigate overfitting, with hyperparameters being optimized to improve performance. SHAP was utilized to identify the primary factors influencing non-fatal injuries.

Results

The Random Forest model has proved effective in this study. It identified three primary risk factors for predicting non-fatal injuries: being male, favorable household financial situation, and stable relationship. Protective factors include reduced internet time and being an only child in the family.

Conclusion

The study highlighted five key factors influencing non-fatal injuries: sex, household financial situation, relationship stability, internet time, and sibling status. In identifying these factors, the Random Forest, Logistic Regression, Decision Tree, and XGBoost models demonstrated varying effectiveness, with the Random Forest model exhibiting superior performance.

Associations of generalized anxiety and social anxiety symptoms with sleep duration, amount of intense exercise, and excessive internet use among adolescents

BACKGROUND

Among adolescents, symptoms of generalized anxiety disorder (GAD) and social anxiety disorder (SAD) are not only clinically significant but also continuingly increasing. During adolescence, individuals begin to establish distinct, self-determined lifestyle patterns. This study seeks to identify the associations between such lifestyle factors and the prevalence of GAD and SAD symptoms.

METHODS

The analyzable sample was based on a cross-sectional, nationally representative survey of Finnish 14-18 year old students from comprehensive schools, general upper secondary schools, and vocational institutions. The sample consisted of 60,252 boys and 71,118 girls, with the mean age of 16.05 years (standard deviation 1.06). Symptoms were identified using the GAD-7 (cutpoint of 10), the Mini-SPIN (cutpoint of 6), and the PHQ-2 (cutpoint of 3). Logistic regression models for both GAD and SAD symptoms were stratified by comorbidity group variables.

RESULTS

GAD symptoms were closely related to excessive internet use and decreased sleep duration among adolescents, regardless of comorbidity with depression or SAD. SAD symptoms were associated with excessive internet use and a lack of intense exercise, independent of comorbid depression or GAD.

CONCLUSIONS

The findings underscore the importance of considering lifestyle factors when developing interventions to mitigate GAD and SAD symptoms in adolescents. Interventions and policy recommendations aiming at improving adolescents' health behaviour and mental health should take into account the intertwining of these factors.

Correlations between problematic internet use and suicidal behavior among Chinese adolescents: a systematic review and meta-analysis

Background

Problematic Internet Use (PIU) has been increasingly linked to suicidal behavior among adolescents, raising significant public health concerns, particularly in Chinese youth. This study aimed to systematically review and meta-analyze the correlation between PIU and suicidal behavior in Chinese adolescents to provide a clearer understanding of this association.

Methods

A comprehensive search was conducted across seven databases up to July 1, 2024. Studies investigating the relationship between PIU and suicidal behavior among Chinese adolescents were included. A random-effects meta-analysis was employed to assess pooled effect sizes, with subgroup analyses conducted to explore potential moderators, such as geographic region, age, gender, assessment tools for PIU and suicidal ideation, and the presence of depression. Data analysis was performed using STATA software (version 16).

Results

This meta-analysis, comprising 23 studies with 353,904 participants, identified significant associations between PIU and suicidal behavior among Chinese adolescents. PIU was associated with increased risks of suicidal ideation (OR = 1.72, 95% CI: 1.45, 2.03), suicidal plans (OR = 1.50, 95% CI: 1.02, 2.20), and suicidal attempts (OR = 1.48, 95% CI: 1.16, 1.89). Subgroup analyses indicated higher risks in specific groups: adolescents from Central China (OR = 1.84, 95% CI: 1.46, 2.32), college students (OR = 2.09, 95% CI: 1.66, 2.62). The risk of suicidal ideation was particularly elevated when depression was not controlled (OR = 1.86, 95% CI: 1.53, 2.25). These findings underscore the need for targeted interventions in vulnerable populations.

Conclusion

This meta-analysis demonstrated significant associations between PIU and suicidal behaviors among Chinese adolescents. The findings emphasize the need for targeted interventions, particularly for adolescents from Central and Western China, college students, and those with untreated depression. Focused strategies are required to mitigate the risks associated with PIU and to effectively address suicidal behaviors in these high-risk populations.

Systematic review registration

https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42024577593, identifier CRD42024577593.

Relationship between personality and adolescent depression: the mediating role of loneliness and problematic internet use

BACKGROUND

Previous research has indicated that personality traits, loneliness, and problematic internet use (PIU) significantly contribute to the prevalence of adolescent depression. However, the specific interrelationships among these variables in explaining the occurrence of depression remain unclear. Drawing upon susceptibility theory and cognitive-behavioral theory, this study explored whether personality traits influences adolescent depression through loneliness and PIU.

METHODS

A total of 2476 adolescents (aged 12-18) from all over the country completed a psycho-social test, including the 10-Item Big Five Personality Inventory (BFI-10), three-Item Loneliness Scale (T-ILS), Problematic Internet Use Questionnaire-Short Form (PIUQ-SF-6) and the Patient Health Questionnaire-9 (PHQ-9). The mediation model was built and bootstrap method was used to test the mediating effect.

RESULTS

Results showed that neuroticism, conscientiousness, openness, and agreeableness have a direct role on depression. Loneliness and PIU partially mediated the relationship between neuroticism, conscientiousness, agreeableness and depression, and completely mediated the relationship between extroversion and depression.

CONCLUSIONS

The results suggest that loneliness and PIU play important mediating roles in the relationship between personality traits and depression. This remind us that alleviating sense of loneliness and reducing overuse of the internet are a strategy for improve depression among adolescents.

Screen time and mental health: a prospective analysis of the Adolescent Brain Cognitive Development (ABCD) Study

BACKGROUND

Despite the ubiquity of adolescent screen use, there are limited longitudinal studies that examine the prospective relationships between screen time and child behavioral problems in a large, diverse nationwide sample of adolescents in the United States, which was the objective of the current study.

METHODS

We analyzed cohort data of 9,538 adolescents (9-10 years at baseline in 2016-2018) with two years of follow-up from the Adolescent Brain Cognitive Development (ABCD) Study. We used mixed-effects models to analyze associations between baseline self-reported screen time and parent-reported mental health symptoms using the Child Behavior Checklist, with random effects adjusted for age, sex, race/ethnicity, household income, parent education, and study site. We tested for effect modification by sex and race/ethnicity.

RESULTS

The sample was 48.8% female and racially/ethnically diverse (47.6% racial/ethnic minority). Higher total screen time was associated with all mental health symptoms in adjusted models, and the association was strongest for depressive (B = 0.10, 95% CI 0.06, 0.13, p < 0.001), conduct (B = 0.07, 95% CI 0.03, 0.10, p < 0.001), somatic (B = 0.06, 95% CI 0.01, 0.11, p = 0.026), and attention-deficit/hyperactivity symptoms (B = 0.06, 95% CI 0.01, 0.10, p = 0.013). The specific screen types with the greatest associations with depressive symptoms included video chat, texting, videos, and video games. The association between screen time and depressive, attention-deficit/hyperactivity, and oppositional defiant symptoms was stronger among White compared to Black adolescents. The association between screen time and depressive symptoms was stronger among White compared to Asian adolescents.

CONCLUSIONS

Screen time is prospectively associated with a range of mental health symptoms, especially depressive symptoms, though effect sizes are small. Video chat, texting, videos, and video games were the screen types with the greatest associations with depressive symptoms. Future research should examine potential mechanisms linking screen use with child behavior problems.

The relationship between health literacy and problematic internet use in Chinese college students: The mediating effect of subject well-being and moderating effect of social support

BACKGROUND

The issue of problematic Internet use (PIU) amongst college students is emerging as a major concern for mental health. Factors such as health literacy, subjective well-being and the extent of social support may be critical in preventing PIU. However, the complex relationship between these factors has not been extensively explored in research.

METHODS

A national cross-sectional study based on multistage random sampling was conducted in China in 2022. The subjects for this study were 7669 college students who completed a set of questionnaires assessing their health literacy, subjective well-being, PIU and social support. A structural equation model (SEM) was utilised for exploring the mediating effect of subjective well-being, and the PROCESS macro was used to test the moderating effect of social support.

RESULTS

After controlling for demographic factors, a significantly negative correlation was found between health literacy and PIU, and subjective well-being partially mediated this relationship. In addition, social support was negatively related to PIU and could moderate the relationship between health literacy and subjective well-being and between subjective well-being and PIU.

LIMITATIONS

This is a cross-sectional study, and the results cannot inform the causality between these variables.

CONCLUSION

Results revealed that the relationship between health literacy and PIU was partially mediated by subjective well-being in college students. The correlation between health literacy and subjective well-being and between subjective well-being and PIU were moderated by social support. Thus, future interventions for college students' PIU should be facilitated by improving health literacy, subjective well-being and social support.

"Alexithymia, Cognitive Distortion and internet Addiction: Moderating Role of Emotional Intelligence"

Excessive engagement in online activities, also known as Internet addiction can have detrimental impacts on the mental, social, and physical well-being of individuals. This research work aims to contribute to the existing body of knowledge on internet addiction and alexithymia to provide insights that may inform the development of targeted interventions to support university students at risk of internet addiction. With emotional intelligence as the moderator and cognitive distortion as the mediator, the study investigated the effect of alexithymia on internet addiction. The approach of this cross-sectional design allowed researchers to investigate intricate interactions among several elements influencing internet addiction among university students in northern Indian areas. For data collection, the study created a thorough English 53-item questionnaire. Initially, 600 surveys were distributed, and 508 useable surveys were used. All the study hypotheses have received adequate support from empirical evidence, thus offering significant insights. This study supported a direct positive correlation between alexithymia and internet addiction. Also, the findings revealed a positive relationship between alexithymia and cognitive distortions which further leads to internet addiction. Moreover, moderation results show that emotional intelligence acts as a significant moderator in this relationship between alexithymia and internet addiction. The study has added a unique antecedent of cognitive distortion of internet addiction, which is currently under-researched in previous works. This research adds to the knowledge of alexithymia as not only a personality characteristic but also a variable that should be taken into account regarding constituent processes of the regulation of emotions.

Dose-Response Associations of Internet Use Time and Internet Addiction With Depressive Symptoms Among Chinese Children and Adolescents: Cross-Sectional Study

Background

Children's lives are increasingly mediated by digital technologies, yet evidence regarding the associations between internet use and depression is far from comprehensive and remains unclear.

Objective

This study aimed to investigate the dose-response association between internet use, including use time and addiction behaviors, and depressive symptoms among children and adolescents in Zhejiang Province.

Methods

Data were collected from a school-based health survey China Common Disease and Risk Factor Surveillance Among Students, encompassing 21,336 students in Zhejiang Province. The daily internet use time, internet addiction (IA) behaviors, and depressive symptoms were assessed with questionnaires. Logistic regression models were used to explore the associations of internet use time and IA behaviors with depressive symptoms among children and adolescents. Restricted cubic spline curves were used to determine the dose-response associations.

Results

A total of 6225 (29.2%) students had depressive symptoms. Compared to those reporting no internet use, boys using the internet for >2 hours/day (odds ratio [OR] 1.53, 95% CI 1.34-1.74) and girls using internet for 1.1-2 hours/day (OR 1.22, 95% CI 1.06-1.39) and >2 hours/day (OR 1.70, 95% CI 1.50-1.93) were at higher risks of depressive symptoms. A significant J-shaped association was identified between internet use time and depressive symptoms among children and adolescents, especially in boys and primary school students (nonlinear P values were .006, .003, and <.001, respectively). Increased IA behaviors were associated with a higher odd of depressive symptoms (1 IA behavior: OR 2.01, 95% CI 1.83-2.21; 2 IA behaviors: 2.91, 95% CI 2.57-3.29; and ≥3 IA behaviors: 4.72, 95% CI 4.26-5.22). A positive nonlinear association between the number of IA behaviors and depressive symptoms was found in total population, girls, and primary school students (nonlinear P values were .02, .002, .007, respectively).

Conclusions

Findings suggested that excessive internet use time and IA behaviors were significantly associated with an increased risk of depressive symptoms, highlighting the importance of interventions to regulate and educate about adequate internet use during childhood and adolescence.

Effects of mobile Internet use on the health of middle-aged and older adults: evidences from China health and retirement longitudinal study

The rapid development of digital technology has radically changed people's lives. Simultaneously, as the population is rapidly aging, academic research is focusing on the use of Internet technology to improve middle-aged and older people's health, particularly owing to the popularity of mobile networks, which has further increased the population's accessibility to the Internet. However, related studies have not yet reached a consensus. Herein, empirical analysis of the influence of mobile Internet use on the subjective health and chronic disease status of individuals in their Middle Ages and above was conducted utilizing ordered logit, propensity score matching (PSM), and ordered probit models with data from the 2020 China Health and Retirement Longitudinal Study. The study aimed to provide a theoretical basis and reference for exploring technological advances to empower the development of a healthy Chinese population and to advance the process of healthy aging. The health of middle-aged and older adults mobile Internet users was greatly improved, according to our findings. Further, the use of mobile Internet by these persons resulted in improvements to both their self-assessed health and the state of their chronic diseases. As per the findings of the heterogeneity analysis, the impact of mobile Internet use was shown to be more pronounced on the well-being of middle-aged persons aged 45-60 years compared to those aged ≥ 60 years. Further, the endogeneity test revealed that the PSM model could better eliminate bias in sample selection. The results suggest that the estimates are more robust after eliminating endogeneity, and that failure to disentangle sample selectivity bias would overestimate not only the facilitating effect of mobile Internet use on the self-assessed health impacts of middle-aged and older adults, but also the ameliorating effect of mobile Internet use on the chronic diseases of middle-aged and older adults. The results of the mechanistic analysis suggest that social engagement is an important mediating mechanism between mobile Internet use and the health of middle-aged and older adults. This implies that mobile Internet use increases opportunities for social participation among middle-aged and older adults, thereby improving their health.

The impact of online classes on sleep, physical activity, and cognition functioning among physical education students

Introduction

Online education has become a crucial component of teachers' professional development, and universities incorporate innovative pedagogical approaches to enhance teachers' training. These approaches have proven invaluable, particularly during the COVID-19 pandemic. This study investigates the impact of online versus face-to-face learning environments on sleep quality, physical activity, and cognitive functioning among physical education students.

Methods

Utilizing a unique methodological approach that combines wrist actigraphy, the Pittsburgh Sleep Quality Index, and the Cambridge Neuropsychological Test Automated Battery, we provide a comprehensive assessment of these variables. Over 4 weeks, 19 male students participated in alternating online and face-to-face class formats.

Results

Our results reveal no significant differences in sleep quality or cognitive function between learning environments. However, notable findings include significant differences in Paired Associates Learning and weekday step counts in the face-to-face setting.

Discussion

These insights suggest that while online learning environments may not adversely affect sleep or cognitive functions, they could impact certain aspects of physical activity and specific cognitive tasks. These findings contribute to the nuanced understanding of online learning's implications and can inform the design of educational strategies that promote student well-being.

Family functioning and problematic usage of the internet in youth: A cross-sectional investigation

BACKGROUND

Problematic usage of the internet (PUI) refers to maladaptive use of the Internet linked to functional impairment as a growing concern in many countries. Youths are often considered more vulnerable to PUI than other age groups. The relationship between PUI and family dynamics is likely bidirectional and complex, warranting further research. Using a cross-sectional study design, we aimed to determine the rate of PUI and the association between PUI and family functioning in a South African sample between the ages of 18 and 30 years.

METHODS

South African youths were recruited via email and social media. Respondents completed an online survey as part of a cross-sectional study to assess the extent and the types of activities for which they use the internet, as well as the quality of their family relationships and functioning, employing standardised questionnaires (including the IAT-10) and the General Functioning Scale of the Family Assessment Device (GF-FAD). The sample included 814 participants (65% female; aged 21 years; SD 3 years).

RESULTS

15.5% of our sample presented with PUI. There was a significant, moderate positive correlation between totals on the IAT-10 and GF-FAD (r = 0.33, p < .001). An independent samples t-test found that individuals with self-reported PUI (GF-FAD: M = 2.57, SD = 0.51) had significantly poorer quality family functioning than individuals without PUI (GF-FAD: M = 2.13, SD = 0.61; t (812) = -7.52, p < .001; Cohen's d = -0.73, 95% CI [-0.92, -0.54]). Correlations were found between increased time spent on various online activities, including pornography (r = 0.20, p < 0.001), cyberbullying (r = 0.17, p < 0.001), social networking (r = 0.11, p = 0.003), and streaming media (r = 0.11, p = 0.003), and poorer quality family functioning.

CONCLUSION

PUI is common in South African youth. Presence of PUI and increased PUI severity were associated with worse family functioning in this sample. We recommend using family-based approaches in promoting a healthy family environment, and in the prevention of PUI and mitigation of its effects, with the goal of striking a balance between the benefits of the internet and its potential role in compromising aspects of family relationships.

Latent profiles of emotion regulation among university students: links to repetitive negative thinking, internet addiction, and subjective wellbeing

Recent years have seen a deterioration in the mental health of university students and notable surge in the need for psychological support. Due to its links to psychopathology and high-risk behaviors, difficulty in emotion regulation frequently serves as a transdiagnostic dimension. This cross-sectional study used a person-centered analytical approach (latent profile analysis; LPA) to identify groups of Portuguese university students with similar profiles of emotion regulation difficulties (N = 261; Mage = 22.5 ± 1.2 years; n = 213 female) and describe how these groups differ in their presentation of repetitive negative thinking, internet addiction, and subjective wellbeing. The analyses identified four latent profiles: 14.5% of students showed global dysregulation (the Low Emotion Regulation Profile), 23% were moderately dysregulated with elevated problems in goal-directed behavior (the Moderate Emotion Regulation Profile), 8% showed specific difficulties with low emotional awareness and clarity (the Low Insight Profile), and 54.4% showed adaptive emotion regulation (the High Emotion Regulation Profile). As anticipated, the Low Emotion Regulation Profile had the lowest subjective wellbeing and the highest prevalence of repetitive negative thinking and internet addiction. Students with a Low Insight Profile also showed low subjective wellbeing, but less repetitive negative thinking compared to the Low Emotion Regulation Profile. Our findings suggest that interventions aimed at improving health and wellbeing among university students should consider each student's unique set of emotion regulation difficulties, rather than focusing on particular strategies. Further research may help determine whether emotion regulation profiles can serve as predictive indicators of varying mental health trajectories and subjective wellbeing in university students.

Effects of internet and smartphone addiction on cognitive control in adolescents and young adults: A systematic review of fMRI studies

BACKGROUND

Internet Addiction (IA) refers to excessive or uncontrolled behaviors related to Internet access, causing impairment or distress. Similarly, Smartphone Addiction (SPA) involves the excessive use of smartphones, disrupting users' daily lives. Cognitive control plays a relevant role in the development of IA and SPA, with executive functions and rewards processing being particularly important.

OBJECTIVE

This study aims to provide a synthesis of scientific evidence on the differential effects of IA and SPA on cognition in young adults and adolescents, using fMRI.

METHODS

Relevant articles published between 2013 and May 2023 were identified following the PRISMA protocol.

RESULTS

Included studies (n = 21) revealed that both behavioral addictions were associated with impairments in cognitive control related to reward processing (ACC, insula, amygdala) and executive function (DLPFC, frontal, parietal lobes) in adolescents and young adults.

CONCLUSION

These findings provide evidence for neuroanatomical similarities between IA and SPA in young adults and adolescents related to executive functions and rewards processing. However, differential effects of SPA and IA on cognitive control were not found in this study. Future research should explore the relationship between these addictions with other cognitive domains to further expand our understanding within this field. While both IA and SPA involve the excessive use of online technology, SPA could involve a higher risk, given that smartphones allow internet connectivity anytime.

Relationship between loneliness and internet addiction: a meta-analysis

BACKGROUND

In the digital age, the Internet has become integrated into all aspects of people's work, study, entertainment, and other activities, leading to a dramatic increase in the frequency of Internet use. However, excessive Internet use has negative effects on the body, psychology, and many other aspects. This study aims to systematically analyze the research findings on the relationship between loneliness and Internet addiction to obtain a more objective, comprehensive effect size.

METHODS

This study employed a comprehensive meta-analysis of empirical research conducted over the past two decades to investigate the relationship between loneliness and Internet addiction, with a focus on the moderating variables influencing this relationship. This meta-analysis adopted a unique approach by categorizing moderating variables into two distinct groups: the objective characteristics of research subjects and the subjective characteristics of researchers. It sheds light on the multifaceted factors that influence the relationship between loneliness and Internet addiction.

RESULTS

A literature search in web of science yielded 32 independent effect sizes involving 35,623 subjects. Heterogeneity testing indicated that a random effects model was appropriate. A funnel plot and Begg and Mazumdar's rank correlation test revealed no publication bias in this meta-analysis. Following the effect size test, it was evident that loneliness was significantly and positively correlated with Internet addiction (r = 0.291, p < 0.001). The moderating effect analysis showed that objective characteristics significantly affected the relationship. However, subjective characteristics did not affect the relationship.

CONCLUSIONS

The study revealed a moderately positive correlation between loneliness and Internet addiction. Moreover, this correlation's strength was found to be influenced by various factors, including gender, age, grade, and the region of the subjects. However, it was not affected by variables such as the measurement tool, research design, or research year (whether before or after COVID-19).

Bidirectional associations between loneliness and problematic internet use: A meta-analytic review of longitudinal studies

BACKGROUND

Loneliness and problematic Internet use (PIU) are both major public health concerns around the world. These two constructs have long been linked, but there is conflicting evidence regarding the temporal nature of the loneliness-PIU relationship.

METHOD

We searched 8 databases to identify studies examining longitudinal associations between loneliness and PIU published on or before August 2023. From the 316 articles identified, 26 studies were included with a total of 23,382 participants.

RESULTS

Moderate, positive, and significant prospective pathways were found from loneliness to PIU (r = 0.287, p < 0.001, 95 % CI [0.241, 0.331]), and from PIU to loneliness (r = 0.255, p < 0.001, 95 % CI [0.205, 0.303]). Moderator analyses suggested that the association of loneliness with PIU was stronger in samples from Eastern countries, with more males, more young adults, less time passed, and in more recent years. The association of PIU with loneliness was stronger in samples from Eastern countries, with more males, more young adults, and in more recent years.

CONCLUSIONS

This meta-analytic review provided the first estimation for the overall bidirectional longitudinal associations between loneliness and PIU. A deeper comprehension of the relations has implications for loneliness and PIU intervention programs, where interventions targeting both constructs might be fruitfully applied.

The cycle of solitude and avoidance: a daily life evaluation of the relationship between internet addiction and symptoms of social anxiety

A consistent association has been observed between internet addiction and symptoms of social anxiety. However, there is a lack of empirical research that delves into potential explanations for this relationship and its directionality, making it difficult to translate findings into development of interventions for social anxiety that account for technology-related behaviors. The present study aimed to evaluate the longitudinal dynamics between internet addiction, symptoms of social anxiety, avoidance of social interactions, and using the internet to cope with loneliness. By means of an ecological momentary assessment study, we evaluated a sample of 122 young adults from Chile using intensive self-report measurements five times a day, for a period of 10 days. Using mixed-effects models, we examined the directionality between internet addiction and symptoms of social anxiety, together with an explanation of their relationship. Results indicate that internet addiction antecedes symptoms of social anxiety; however, the reverse relationship was not observed. Furthermore, instances where individuals avoided social interactions or used the internet to cope with loneliness were predictive of later increases in levels of internet addiction, suggesting a vicious cycle. Significant heterogeneity was observed in these effects, highlighting the need for a more personalized approach when including technology-related behaviors in social anxiety interventions. Theoretical and clinical implications are discussed.

Problematic Internet use and attitudes towards persons with disabilities - cross-sectional research among Polish students

BACKGROUND

Problematic Internet use (PIU) can have detrimental effects on physical, emotional, psychological, and social functioning. Besides well-described PIU correlations in psychological domains such as personality traits, or life satisfaction, and self-assessment, the social aspect of PIU risk also appeared to be important. This study aimed to investigate the association between PIU and attitudes towards persons with disabilities.

METHODS

A total of 595 Polish students aged 18-29 participated in this research by completing the Internet Addiction Test, Multidimensional Attitudes Scale Towards Persons With Disabilities, and personal information form.

RESULTS

The findings revealed that 30.6% of the respondents were at high risk for PIU. Moreover, heightened levels of PIU were more prevalent among male participants and students in technical fields of study than in those in medical and social fields of study. Increased PIU was also associated with more negative attitudes towards persons with disabilities in general and in the domains of emotions and behaviours. Additionally, prior personal contact with individuals with disabilities was related to both PIU rates and attitudes towards persons with disabilities in the domain of emotions and beliefs.

CONCLUSIONS

This study highlights the prevalence of PIU among Polish students and emphasizes the need for preventive measures, particularly targeting male students and those in technical fields of study. The results indicate a relationship between PIU and attitudes towards individuals with disabilities. Further research is required to determine the direction of the relationship. It is recommended that educational programs provide opportunities for interaction with individuals with disabilities to promote understanding and acceptance.

Loneliness Is Associated With Problematic Internet Use but Not With the Frequency of Substance Use: A Czech Cross-Sectional Study

Objectives: This study aimed to assess the associations between loneliness and the frequency of substance use and problematic Internet use (PIU) in different age groups. Methods: Data were collected in April 2021 from a sample of 1,293 participants with main characteristics close to a nationally representative sample (mean age = 50.1 ± 15.4 years; 56% male). We measured loneliness with the Three-Item Loneliness Scale (TILS), PIU with the General Problematic Internet Use Scale-2 (GPIUS-2) and the frequency of drugs, alcohol, smoking or caffeine consumption. Spearman's correlation, the t-test, and one-way and multivariate linear regression models were used to analyze the data. Results: In our study, 43.8% of respondents reported moderate to severe levels of loneliness. Loneliness was associated with the severity of PIU [F (3, 1,277) = 15.25, p < 0.001], with higher loneliness corresponding to higher PIU. No significant relationship was found between loneliness and drugs, alcohol, smoking or caffeine consumption. Conclusion: Regardless of age, loneliness is associated with PIU but not with the frequency of substance use. Professional help for lonely people should focus on problematic Internet use in all age groups.

Assessment and Diagnostic Classification Using DC:0-5 in Early Childhood Mental Health Clinics: The Protocol for the Developmental Psychiatry Diagnostic Challenges Study (DePsy)

Mental health problems in early childhood are common, but there is a lack of psychiatric research on this age group. DC:0-5 is a multiaxial classification system for mental disorders in early childhood, providing a framework for standardizing clinical practice and research. However, research on the validity of DC:0-5 is scarce. The Developmental Psychiatry Diagnostic Challenges Study (DePsy) is a multi-site, prospective clinical study including six German early childhood mental health (ECMH) clinics. The main objective of the study is to contribute to the validation of Axis I and Axis II of DC:0-5. A second aim of the study is to describe the population of the participating clinics regarding diagnoses, family context, and treatment outcomes. Additionally, the impact of environmental risk factors, including parental Adverse Childhood Experiences (ACEs) and media use, on child psychopathology and caregiver-child relationships will be examined. Over two years, patients aged 0.0-5.9 years old will be enrolled in the study. Assessments include ICD-10 and DC:0-5 diagnoses, developmental tests, video-based observations of caregiver-child interactions, and questionnaires on child psychopathology, media use, parental stress, and treatment satisfaction. Study results will promote the standardization of assessment and treatment in ECMH clinics aiming to improve the development of patients and their families.

Problematic internet use and psychological distress among student nurses: The mediating role of coping skills

Problematic internet use has become a growing concern among student nurses, posing potential risks to their well-being and academic performance. Yet, the extent to which coping skills can help alleviate the adverse effects of problematic internet use on the psychological well-being of student nurses remains largely understudied. This study examined the mediating role of coping skills in the relationship between problematic internet use and psychological distress among student nurses. This cross-sectional study was conducted to collect data from 279 student nurses enrolled in a public-funded nursing school. Mediation analyses were conducted using the PROCESS Macro with Model 4. Findings showed that student nurses reported moderate levels of problematic internet use with a mean score of 2.233 (SD = 0.765). Several factors strongly predicted problematic internet, including being on the 3rd year of education (β = -0.261, p < 0.001), having an average academic performance (β = 0.184, p = 0.006), and using the internet for <3 h per day (β = -0.304, p < 0.001). Problematic internet use was significantly associated with increased psychological distress (β = 0.1791, p < 0.01). Coping skills were found to mediate the relationship between problematic internet use and psychological distress (β = 0.0160, SE = 0.0095). Overall, this study sheds light on the determinants of problematic internet use among student nurses and its negative impact on psychological well-being. By addressing problematic internet use and promoting healthy coping mechanisms, nursing education can better prepare student nurses to maintain their well-being and academic performance in the digital age.

Socio-demographic and mental health correlates of internet addiction amongst Hong Kong university students under COVID-19

Introduction

Regarding the problem of Internet addiction (IA) amongst university students under the pandemic, there are several research gaps. Firstly, few studies have examined IA of university students in Hong Kong, which is a Chinese society heavily influenced by Western values. In addition, findings on the socio-demographic correlates and psychological well-being predictors of IA in university students are unclear. Finally, researchers have not systematically examined the interaction effects of socio-demographic factors (particularly gender and personal infection of COVID-19) and psychological morbidity on IA. This pioneer study aimed to investigate the predictive role of socio-demographic factors and psychological morbidity in IA, and the moderating effects of gender and personal infection of COVID-19 on the relationship between psychological morbidity and IA.

Methods

We conducted an online survey (N = 1,020 university students) during the ending phase of Wave 5 of the pandemic in Hong Kong (late 2022 to early 2023). Socio-demographic correlates included age, gender, living status, personal and family financial situation, student status, personal and family infection of COVID-19. Participants responded to validated measures of psychological morbidity, including depression, suicidal behavior, and hopelessness. Hierarchical regression and simple slope analyses were used to examine the predictive role of socio-demographic variables and psychological morbidity in IA and the interactive effect of gender and personal infection of COVID-19 with psychological morbidity on IA.

Results

Personal financial difficulty was a significant socio-demographic predictor of IA. Depression, suicidal behavior, and hopelessness positively predicted IA. We also found a significant interaction effect of gender and psychological morbidity on IA. While the predictive relationship between depression and IA was stronger in males than in females, hopelessness was more strongly related to IA in females than in males. Finally, there was a significant interaction effect of personal infection of COVID-19 and suicidal behavior on IA.

Conclusion

Personal financial difficulty was a socio-economic correlate of IA. Psychological morbidity also predicted IA. Gender and personal infection of COVID-19 moderated the linkage between psychological morbidity and IA. The findings of the study enhance our understanding of individual differences in IA in university students during the pandemic, particularly concerning different ecological risk factors.

Internet use, loneliness, and mental health in Greek students

Background

Problematic internet use among university students is a rising phenomenon with repercussions worldwide. We aimed to determine the association between time spent online, loneliness, and mental health.

Methods

We conducted an online cross-sectional study using self-administered questionnaires on demographics, frequency of internet use as assessed by the Internet Addiction Inventory (IAT), depressive symptoms as reported by answering the Beck Depression Inventory (BDI), loneliness as depicted by the UCLA Loneliness scale, and general psychopathology on the self-reported General Health Questionnaire-28 (GHQ-28) scale. We performed statistical analysis using the IBM SPSS for Windows, Version 25.0.

Results

The mean age (n =294, 62.9 % female) was 23.19 ± 6.454 years. One-third (33.3 %) and 8.2 % were mildly and moderately addicted to the Internet, respectively. There was no participant with severe dependence. Nearly one-quarter (24.5 %) of participants reported mild, 10.6 % moderate, and 3.3 % severe depression and 44.8 % reported moderate and 11.9 % a moderately high degree of loneliness. Four in ten (41.8 %) of participants self-reported mental health problems. Mean IAT, BDI, UCLA Loneliness, and GHQ-28 score differences were statistically significant between IAT categories across all questionnaires. Correlations between the scales were statistically significant, and a binary logistic regression model revealed that the level of self-reported depressive symptoms, loneliness, and general psychopathology scores could predict internet use.

Conclusions

In our student sample, mental health problems were present in approximately 40 % of participants. They were significantly correlated with problematic internet use, thus complicating the development of essential communication skills in young adults. The higher the internet use, the greater the loneliness felt. Future studies should be more extensive, focusing on the relation of internet use with the type of use, family history of psychopathology, use of substances, and impulsivity. HIPPOKRATIA 2023, 27 (2):31-36.