Search Results (112)

The excessive and inappropriate use of the internet by children and young people increases their exposure to risky situations, especially since the COVID-19 pandemic. This study analyzes risky situations on social media among children and adolescents. The objective of this work was to identify the risks associated with the use of social media. A comparative analysis of five clustering algorithms was applied to a dataset developed by eBiz Latin America in collaboration with La Salle University of Arequipa and the Institute of Christian Schools of the De La Salle Brothers of the Bolivia-Peru district. Among the results, it was shown that children around 11 years old display a high prevalence of digital risk behaviors such as adding strangers, followed by pretending to be someone else; adults around 43 years old exhibit a tendency to follow strangers and, even more so, to take photographs without permission; adolescents with an average age of 11 show a heavy use of YouTube, TikTok, and Instagram. It is concluded that among digital risks in children and adults, the clusters highlight shared vulnerabilities, such as the addition of strangers and exposure to requests for personal data, which persist throughout the life stages but intensify in early adulthood. These findings emphasize the urgency of preventive policies addressing generational differences in social network use to promote proactive responses to digital harassment. Full article

Background: Despite growing concerns about the impact of excessive digital media use on adolescents’ health, few studies have examined how digital detox practices and physical activity interact to influence it, particularly from a gender perspective. Purpose: This study investigated the effects of digital detox and physical activity on adolescents’ health habits, focusing on gender differences and sociocultural implications. Methods: In February 2025, a self-reported survey was conducted among 652 adolescents (mean age = 15.6, SD = 1.4) residing in Seoul, South Korea, using a quota sampling method. The survey measured four domains: demographic characteristics, digital detox practices, physical activity, and perceptions of health habit improvement. Results: Gender-based analyses revealed that female students reported higher engagement in digital detox practices, whereas male students showed greater participation in physical activity and higher levels of health efficacy. Digital detox had a significant positive effect on adolescents’ health habit improvement; however, its effect on physical activity and the effect of physical activity on health habit improvement were not statistically significant. Conclusions: These findings suggest that the complex interplay among digital engagement, physical activity, and gender-based social norms shapes adolescents’ health behaviors. To effectively improve adolescent health, strategies should be tailored to address sociocultural dynamics and gender-specific needs and experiences. Full article

Background: Social media use has grown rapidly and has been integrated into the lives of many adolescents and young adults worldwide. Research indicates that excessive social media engagement can negatively impact sleep quality through various mechanisms. Objective: This scoping review of reviews aims to explore the relationship between social media use and sleep quality among adolescents and young adults, synthesize existing evidence, identify research gaps, and highlight directions for future research. Methods: Arksey’s and O’Malley’s five-stage framework was used to conduct this scoping review. Searches were conducted in PubMed, Web of Science, Embase, Medline, and Scopus for articles published between 2020 and 2025. The inclusion criteria were systematic reviews or meta-analyses focused on adolescents and young adults, examining social media use in relation to sleep quality, and peer-reviewed articles written in English. Ten articles met all eligibility criteria and were included in the review. Results: The findings indicate a small but consistent negative effect of social media use on sleep quality. Problematic social media use showed a stronger association with poorer sleep than general social media use. Specific platforms such as Facebook and Twitter contributed most to shorter sleep duration, later bedtimes, and poorer sleep quality, while Snapchat and Instagram showed moderate effects, and WhatsApp and WeChat showed smaller effects. Conclusions: Problematic social media use is strongly associated with poorer sleep quality, while general use may have smaller effects. Future research focusing on longitudinal studies would help deepen the understanding of the effects of social media on sleep and guide targeted interventions. Encouraging responsible or healthy social media use is vital in reducing the risks of problematic use while highlighting the benefits as well. Full article

The Big Five Model has been widely applied across various areas for detecting problematic or even antisocial behaviors. This research explores its potential to identify behavior patterns and usage profiles in digital environments, such as social media use, digital gaming, and related activities. This study first conducted a literature review on mobile phone use, video game addiction, and social media overuse through the lens of the Big Five Model. Then, empirical data from 492 participants were analyzed to assess how each personality trait is associated with exposure to excessive internet use. The results shown that individuals with high openness and extraversion are more likely to engage intensively with social media and online entertainment, whereas those with higher levels of neuroticism, agreeableness, or conscientiousness display lower exposure. These findings align with previous research linking personality traits to neuroanatomical patterns that shape behavioral tendencies. This study suggests that specific personality traits, as defined by the Big Five Model, influence the use of digital media and advertising channels, potentially fostering addictive behaviors in users with higher openness and extraversion. Full article

Social media is deeply integrated into life, offering new opportunities for learning and communication. However, excessive use has been linked to negative effects on well-being and cognitive functions. A rapidly growing platform, TikTok has been a focal point of controversy due to concerns over its short-form content. The present study investigates the relationship between TikTok usage, problematic social media use (PSMU), and executive function (EF) to distinguish platform-specific features from broader patterns of problematic use. A survey conducted with 346 college students measured EF, TikTok use intensity, PSMU, and mental health variables. The findings indicate that while PSMU and TikTok use correlate with EF dysfunction, TikTok use is not a significant predictor when PSMU and mental health factors are statistically accounted for. Mediation analysis suggests that PSMU mediates the relationship between TikTok use and EF impairment, indicating that problematic media use—rather than platform-specific characteristics—relates to poor cognition connected to social media. These results contribute to the growing literature on digital media’s cognitive effects, underscoring the importance of addressing problematic usage patterns rather than focusing on individual platforms. Additionally, the association of PSMU with EF impairments and poor mental health reinforces the need for interventions targeting excessive social media engagement. Full article

Background/Objectives: Excessive social media usage in the current times and high rates of food advertising can impact the health status of individuals by increasing food cues related to perceived hunger and, thus, dietary behaviour. This study examined the association between social media usage patterns, food-related advertising, and dietary choices among Gen Z individuals. Methods: A cross-sectional study was carried out amongst 314 young adults between the ages of 18 and 25 in Surat city, Gujarat. Data was collected for social media usage, the most used platforms, preferred content, and eating patterns. Anthropometric measurements (height and weight) were also recorded. Perceived hunger responses to 12 social media-based food images were assessed using a ten-point Visual Analogue Scale (VAS). Statistical analyses were performed using SPSS (version 26.0), with the significance level set at p < 0.05. Results: YouTube and Instagram were the most used social media apps. There were no significant differences observed between the BMI of participants using social media for 2 h a day and those using it 3+ hours a day. However, a significant association between the BMI of those who viewed advertisements for ready-to-eat foods (p = 0.004) and the BMI of those who viewed advertisements for food delivery platforms (p = 0.001) was seen. A significant difference between usage of Pinterest (p = 0.02), Instagram (p = 0.047), and BMI was also found. Conclusions: Social media marketing and food content are shaping the dietary choices of young adults, and more studies need to be conducted in Pan India to understand the reasons. Such evidence will be crucial for guiding nutrition policies, digital marketing regulations, and youth-focused awareness programmes. Full article

Social media is an essential part of people’s lives worldwide. This study aimed to analyze the predictive capacity of social media addiction on academic engagement among students enrolled in the Faculty of Health Sciences at the National University of Chimborazo during the first academic period of 2023. The Social Media Addiction Questionnaire (ARS) and the Utrecht Work Engagement Scale (UWES-S-17) were applied to 1200 participants during an analytical study. According to the simple linear regression model, 11.2% of the variance in academic engagement levels was explained by social media addiction, with statistical significance (p < 0.05). The multiple linear regression model was significant, although it showed a low capacity to explain and predict the level of academic engagement, considering the dimensions of the level of addiction to social media (obsession, lack of control, and excessive use). The ROC curve parameters showed statistical significance, showing a moderate ability to discriminate insufficient academic commitment. The results serve as a basis for future studies and as a diagnostic basis for establishing policies and strategies in the institution where the research was conducted to increase academic engagement and reduce social media addiction. Full article

De-influencing is an emerging trend that appeared in 2023 on the TikTok platform as a reaction to overconsumption. De-influencers are content creators who, through their videos, seek to discourage consumers from purchasing products or services widely promoted by major brands. They position themselves in opposition to traditional social media influencers, who are oriented toward paid brand promotion and driven by the commercial logic of the influencer marketing. Through their content, de-influencers advocate for the mindful use of the planet’s resources and for the consumption of goods and services in a way that meets present needs without compromising the ability of future generations to meet their own. Thus, the de-influencing movement has been grounded in the growing awareness of the multiple dangers posed by excessive consumption of goods, products, and services—overconsumption having negative effects on natural resources, which are diminishing exponentially and ultimately generating major imbalances in both the environment and society. Full article

Background/Objectives: Social media has become a key activity in adolescents’ lives, with potential implications for their health and well-being. Because of this, the objective was to examine the influence of social media on the eating behavior and sleep quality of adolescents aged 13 to 18 years. Methods: The PubMed, Scopus, Proquest, Web of Science, and Cochrane Library databases were reviewed following the PRISMA protocol. The inclusion criteria for the studies were as follows: a sample of adolescents aged 13 to 18 years without a baseline clinical diagnosis and research objectives related to social media and its influence on eating behavior or sleep quality. A total of 24 articles were included at the end of the search. Due to heterogeneity in measurement formats, a single pooled analysis was not feasible. Instead, two partial random-effects meta-analyses of continuous outcomes were performed (sleep and eating behaviours). Results: Qualitative synthesis revealed consistent associations between problematic social media use, poor sleep quality, and disordered eating. The meta-analyses showed a small-to-moderate and statistically significant association on sleep quality (r = 0.36) while the pooled estimate for eating behaviours was imprecise and not significant (r = 0.35), reflecting the very limited number of eligible studies. Conclusions: Excessive social media use is associated with poorer sleep and eating outcomes among adolescents. These findings highlight the need for educational and preventive strategies promoting healthy digital habits and psychological well-being. This systematic review elucidates the implications of social media use for health promotion at this development stage. Full article

Background: Social media addiction is a growing concern among undergraduates, with nursing students particularly vulnerable as their stressful academic and clinical context may promote excessive use, impaired sleep, and higher depression risk. Therefore, we aimed to evaluate whether sleep disturbance mediates the association between problematic social media use and symptoms of depression among nursing students in Mexico. Methods: We conducted a multicenter, cross-sectional, analytical study using a random sample of 638 nursing students from three Mexican public universities. Between August and December 2024, participants completed validated scales for social media addiction, sleep quality, and depression. Counterfactual causal mediation analysis was performed using logistic regression with robust errors. Results: Sleep disturbance affected 51.7% of students, and 27.5% reported depression. Social media addiction showed a dose–response association with both outcomes. Mediation analysis revealed a total effect on depression (OR = 2.19; 95% CI = 1.45–3.30) and an indirect effect via sleep disturbance (OR = 1.22; 95% CI = 1.01–1.38), explaining 31.4% of the effect. Conclusions: Sleep disturbance partially mediates this association. Interventions addressing digital behavior and sleep hygiene may improve mental health in nursing students. Full article

ToM (ToM) and empathy, integral components of children’s social cognitive development, are shaped by multifaceted factors. The developmental trajectories of ToM and empathy in kindergarten children have long been focal points of inquiry for researchers and educators. Among these determinants, environmental factors emerge as significant predictors of children’s ToM and empathetic abilities. In contemporary society, digital screens have transformed into a ubiquitous medium for kindergarten children, deeply embedded in their daily life, learning, and recreational activities. Consequently, screen exposure has become a novel and distinctive environmental context for childhood development, diverging from traditional settings. This shift raises critical questions that have become focal in recent developmental media research: Does screen exposure correlate with children’s ToM and empathy? And how do key dimensions of screen use (e.g., duration, content) influence the development of these social cognitive skills? To address these queries, this study employed a two-phase experimental approach. Initially, a total of 642 parental questionnaires were collected to comprehensively investigate the current status of digital screen usage among Chinese kindergarten children. Subsequently, the ToM and empathy levels of 126 children were systematically evaluated. The findings revealed that the average daily duration of children’s screen time exhibited a significant negative predictive effect on their ToM level, consistent with prior longitudinal studies that linked early excessive screen exposure to poorer later ToM performance. Conversely, engagement with child-friendly content (e.g., prosocial narratives) and parent–child discussions regarding character emotions during screen exposure (e.g., dialogic questioning while co-viewing) emerged as positive predictors of ToM. Notably, no significant predictive relationships were identified between various dimensions of screen exposure and children’s empathy. This research elucidates the impact of screen exposure on crucial aspects of children’s social cognition, offering practical implications for optimizing screen device utilization to foster children’s holistic development. Full article

We examine how gamification attributes shape user preferences for metaverse platforms and how these relationships vary across age groups. Using rank-ordered logit on 304 metaverse users from the Korean Media Panel Survey, we code platform features into four domains—character customization, experience/skill systems, social networking, and economic systems—and link them to stated preference rankings of leading services. Results show that realistic avatars and expressive behaviors are positively associated with preference, whereas complex body/environment customization is not. Within experience/skill systems, quest presence, content creation, and real-world–mirroring quests relate positively to preference, while excessive freedom/option breadth does not. In social networking, close interactions and group conversation capacity are valued, but rigid chat-window styles are not. Users also prefer low device dependency and real-world task utility. Age heterogeneity emerges: teens show stronger interest in appearance customization, whereas users in their twenties and thirties value mirroring quests, conversational freedom, and monetization. We provide design guidelines for segment-sensitive gamification and discuss implications for inclusive metaverse retail and service strategy. Full article

Background: The rise of problematic social media use among children and adolescents is often associated with significant physical and psychosocial effects. In China, QQ, a popular social media platform among youth, has become a major mental health concern due to its excessive use. The present study aimed to explore the association between QQ addiction and negative mental health through a Latent Class Analysis (LCA). Methods: The study data were collected from a sample of 1006 Chinese school students (49.8% male; age M = 13.32, SD = 1.34 years) through a paper-pencil survey using the convenience sampling technique. Results: LCA identified three latent groups based on QQ addiction symptom scores: No-risk (77.2%), At-risk (16.8%), and High-risk (6.0%). The analysis revealed that children and adolescents in the High-risk class exhibited significantly higher levels of depression, anxiety, emotional problems, conduct issues, hyperactivity, and peer problems, as well as lower life satisfaction and prosocial behaviors compared to the No-risk and At-risk groups (p < 0.05), signifying a strong association between problematic QQ use and poor mental health. Conclusions: Mental health professionals would benefit from designing intervention plans to mitigate the negative mental health among the High-risk and At-risk classes of problematic QQ users. Full article

Excessive social media use (ESMU) may negatively impact college students. Less is known about whether cannabis use may influence ESMU. This study assessed the association between current cannabis use and ESMU in addition to cannabis use risk and ESMU among U.S. college students. An analysis of the 2022–2023 American College Health Association’s National College Health Assessment dataset including 65,052 college students aged 18–24-years old was performed. Unadjusted and adjusted logistic regression models were analyzed. In total, 23.2% of college students reported current cannabis use within the past 30 days. The unadjusted and adjusted logistic model results indicated that college students reporting current cannabis use were at increased odds of reporting ESMU compared to college students not reporting current cannabis use (OR = 1.22, 95% CI = 1.16–1.28; AOR = 1.27, 95% CI = 1.20–1.34, respectively). Furthermore, unadjusted and adjusted logistic regression results demonstrated that college students with moderate cannabis use risk (OR = 1.21, 95% CI = 1.12–1.30; AOR = 1.21, 95% CI = 1.12–1.30) or high cannabis use risk (OR = 1.78, 95% CI = 1.50–2.11; AOR = 1.82, 95% CI = 1.53–2.16) were at increased odds of reporting ESMU compared to college students with low cannabis use risk. U.S. college students who currently use cannabis, especially those exhibiting a moderate or high cannabis use risk, are at an increased odds of excessively using social media sites. Full article

The rise in social media has blurred work–life boundaries, and concerns have been raised about its impact on employee well-being. This study examines how excessive social media use at work (ESMU) and social media use for work during non-work hours (SMUNW) affect turnover intention. Social media exhaustion is tested as a mediator, and resilience is tested as a moderator. Survey data were collected from 453 civil servants in Shandong Province, China. Hierarchical regression and the PROCESS MARCO were used for analysis. The results indicate that ESMU (β = 0.42, p < 0.001) and SMUNW (β = 0.14, p < 0.01) both significantly increase turnover intention. Social media exhaustion mediates these relationships, while resilience reduces their negative impact. Our findings contribute to technostress research by clarifying how digital demands influence public employees. For managers and organizations, the results highlight the need to set boundaries for work-related social media use; monitor employees’ digital exhaustion; and foster resilience through recruitment, training, and organizational support. Full article