Problematic internet usage: the impact of objectively Recorded and categorized usage time, emotional intelligence components and subjective happiness about usage

Psychological Well-Being and Life Satisfaction in Children and Adolescents with Chronic Illness: The Role of Depression, Nonproductive Thoughts, and Problematic Internet Use

THEORETICAL BACKGROUND

The study of psychological well-being in children and adolescents living with chronic illness is of particular relevance, as the physical and psychosocial aspects of the illness can have a significant impact on their quality of life. Previous research has highlighted that depression, nonproductive thoughts and various aspects of problematic internet use may be related to life satisfaction and ways of coping with illness. This study aims to examine how depression, nonproductive thoughts, and problematic internet use interact with illness perception and burden to affect psychological well-being and life satisfaction.

METHODS

A cross-sectional study was conducted with 207 chronically ill children aged 10-18 years. The children, aged between 10 and 18 years old, attended regular check-ups in different specialities (gastroenterology, pulmonology, onco-haematology, and paediatric rehabilitation). A cross-sectional study was carried out using psychological instruments to measure life satisfaction (SWLS), nonproductive thoughts (NPG-K), problematic internet use (PIU-Q), illness perception (PRISM) and illness burden (PRISM-D, IIRS), and depression (BDI-R). Spearman rank correlation analysis was used to explore the associations between variables.

RESULTS

Life satisfaction was negatively related to nonproductive thoughts (r = -0.28, p < 0.001), internet obsession (r = -0.20, p < 0.01), and internet neglect (r = -0.20, p = 0.004). Conversely, a positive correlation was found with the PRISM (r = 0.14, p = 0.042), suggesting that less dominance of illness detection is associated with higher life satisfaction. Depression and nonproductive thoughts showed a strong positive relationship (r = 0.49, p < 0.001), and depression and problematic internet use also showed significant correlations for the obsession, neglect and control subscales (r = 0.23-0.29, all p < 0.001). Cluster analysis identified three psychological profiles: 'positive fighters', 'avoidant sufferers', and 'negative observers', distinguished by differences in depression, nonproductive thoughts, illness burden, and well-being.

CONCLUSIONS

The results suggest that the quality of life of children and adolescents with chronic illness is significantly affected by mental health factors, particularly depression, nonproductive thoughts and problematic internet use. Illness perception and illness-related distress also play a key role in shaping life satisfaction and overall psychosocial well-being. These findings underscore the need for targeted psychological interventions in pediatric chronic care to enhance well-being and promote adaptive coping and suggest that psychological interventions and targeted psychosocial support can significantly improve these children's quality of life. Further research is needed to explore intervention options and to develop optimal support strategies.

Emotional Intelligence and Behavioural Addictions: A Systematic Review

Background: The role of emotional intelligence on the experience of behavioural addictions is a growing area of research interest. However, there are operationalisation issues in studying both emotional intelligence and behavioural addictions separately. This review aims to report on the existing literature of studies exploring the relationship between these two concepts, and to identify gaps in research practice in order to inform future studies. Methods: A search, covering the date range of 2013-2024, conducted in five databases in August 2024 identified 43 articles, reported according to PRISMA 2020 guidelines. The findings are discussed under four subheadings: technology-related behavioural addiction, internet gaming disorder, eating disorders, and consumer behaviour and compulsive buying. Results: Overall, the results show that emotional intelligence is negatively correlated with behavioural addictions and plays both a moderating and mediating role in the associations between behavioural addictions and other negative outcomes such as suicidal ideation, rumination, fear of missing out, and depression. Conclusions: In addition to summarising studies and controversial discussions on emotional intelligence and behavioural addictions, this review suggests possible roadmaps to ensure more accurate research outcomes by highlighting the importance of theoretical and methodological distinctions between trait and ability models of emotional intelligence.

Assessing the Relationship Between the Type of Internet Use and Internet Addiction in Early and Middle Adolescents: Cross-Sectional Study From Qatar

BACKGROUND

With the increasing prevalence of digital technology, adolescent internet addiction (IA) has become a global concern. Excessive internet use, especially among adolescents, has been linked to various negative outcomes such as poor academic performance, social isolation, and mental health issues. Conducted among adolescents of Arab origin, our study addressed the limitations of the literature, which predominantly focuses on Western, educated, industrialized, rich, and democratic populations.

OBJECTIVE

This study aimed to differentiate between essential and nonessential internet use and how they relate to IA in early and middle adolescents, as well as the relationship between subjective happiness with the amount of time spent on nonessential internet use and IA.

METHODS

A cross-sectional survey was conducted among 377 students from 16 schools in Qatar. The survey measured essential and nonessential internet use, subjective happiness with nonessential use, and IA symptoms using the Internet Addiction Diagnostic Questionnaire, as well as participant demographics. To explore age-specific associations, participants were categorized into early (age 11-13 years) and middle (age 14-17 years) adolescents. Factorial analysis, multiple regression, and logistic regression were used for statistical analysis.

RESULTS

Nonessential internet use significantly predicted IA in both early (P<.001) and middle (P<.001) adolescents, with early adolescents showing a stronger association. Subjective happiness with nonessential internet use negatively predicted IA only in middle adolescents (P<.001) as greater dissatisfaction led to a higher IA risk. Essential internet use did not predict IA in either group.

CONCLUSIONS

Differentiating between essential and nonessential internet use is crucial in understanding IA. This study highlights the importance of developmental differences in shaping IA symptoms. The findings suggest that interventions aimed at addressing IA should be age specific and focus on addressing nonessential use specifically rather than considering internet use and screen time in general as a single entity. Cultural and regional factors also play a role in shaping internet use patterns and IA in the Middle East, necessitating context-specific, culturally sensitive approaches to IA prevention.

Enhancing cross-cultural well-being: a mixed methods study on critical thinking, cultural intelligence, and eudaimonic well-being in arts students' cultural identity development

Introduction

This research explores the role of critical thinking and cultural intelligence in psychological well-being through the lens of cultural identity development. It aims to understand how individuals think critically and navigate different cultural challenges that influence their psychological wellbeing.

Methods

The quantitative analysis utilizes various scales to elucidate the correlation between critical thinking beliefs, cultural intelligence, and well-being. The qualitative exploration employing NVivo 20.0 uncovers the interplay between critical thinking, cultural intelligence, and well-being in the construction of cultural identity and psychological selfhood.

Results

The research results show a significant positive correlation between critical thinking, cultural intelligence, and psychological well-being. Themes such as well-being, cultural intelligence, critical thinking, and facing challenges illustrate how individuals navigate obstacles to achieve a meaningful and purposeful life. The findings from both the quantitative and qualitative analyses provide a comprehensive understanding of how critical thinking, cultural intelligence, and well-being intersect and influence individuals' perceptions of themselves and their cultural identities.

Discussion

The research results suggest that developing critical thinking and cultural intelligence positively impacts individuals' psychological well-being in cultural identity development. This can lead to greater belonging and acceptance in diverse cultural settings.

Investigating the mediating role of emotional intelligence in the relationship between internet addiction and mental health among university students

INTRODUCTION

The widespread use of the internet has brought numerous benefits, but it has also raised concerns about its potential negative impact on mental health, particularly among university students. This study aims to investigate the relationship between internet addiction and mental health in university students, as well as explore the mediating effects of emotional intelligence in this relationship.

OBJECTIVE

The main objective of this study was to examine whether internet addiction (dimensions and total) negatively predicts the mental health of university students, with emotional intelligence acting as a mediator.

METHODS

To address this objective, a cross-sectional design with an inferential approach was employed. Data were collected using the Wong Law Emotional Intelligence Scale (WLEIS-S), Internet Addiction Scale (IAS), and Keyes' Mental Health Continuum-Short Form (MHC-SF). The total sample consisted of 850 students from two large public higher education institutions in Ethiopia, of which 334 (39.3%) were females and 516 (60.7%) were males, with a mean age of 22.32 (SD = 4.04). For the purpose of the study, the data were split into two randomly selected groups: sample 1 with 300 participants for psychometric testing purposes, and sample 2 with 550 participants for complex mediation purposes. Various analyses were conducted to achieve the stated objectives, including Cronbach's alpha and composite reliabilities, bivariate correlation, discriminant validity, common method biases, measurement invariance, and structural equation modeling (confirmatory factor analysis, path analysis, and mediation analysis). Confirmatory factor analysis was performed to assess the construct validity of the WLEIS-S, IAS, and MHC-SF. Additionally, a mediating model was examined using structural equation modeling with the corrected biased bootstrap method.

RESULTS

The results revealed that internet addiction had a negative and direct effect on emotional intelligence (β = -0.180, 95%CI [-0.257, -0.103], p = 0.001) and mental health (β = -0.204, 95%CI [-0.273, -0.134], p = 0.001). Also, Internet Craving and Internet obsession negatively predicted EI (β = -0.324, 95%CI [-0.423, -0.224], p = 0.002) and MH (β = -0.167, 95%CI [-0.260, -0.069], p = 0.009), respectively. However, EI had a significant and positive direct effect on mental health (β = 0.494, 95%CI [0.390, 0.589], p = 0.001). Finally, EI fully mediated the relationship between internet addiction and mental health (β = -0.089, 95%CI [-0.136, -0.049], p = 0.001). Besides The study also confirmed that all the scales had strong internal consistency and good psychometric properties.

CONCLUSION

This study contributes to a better understanding of the complex interplay between internet addiction, emotional intelligence, and mental health among university students. The findings highlight the detrimental effects of internet addiction on mental health, and the crucial mediating role of emotional intelligence.

RECOMMENDATIONS

The findings discussed in relation to recent literature have practical implications for practitioners and researchers aiming to enhance mental health and reduce internet addiction among university students. Emotional intelligence can be utilized as a positive resource in interventions and programs targeting these issues.

The Relationship among Internet Addiction, Moral Potency, Mindfulness, and Psychological Capital

This research aimed to contribute to the literature on internet addiction (IA) and moral development among university students. Moral potency (MP) encompasses the interconnected dimensions of moral courage, moral ownership, and moral efficacy. Studies on the relationships between students' problematic behaviors (e.g., IA) and cognitive processes like MP, mindfulness (MI), and psychological capital (PsyCap) are scarce in educational research. Therefore, this study investigated the relationships among IA, MP, MI, and PsyCap in university students. This study included 868 undergraduate students from a state university in Ethiopia, with 526 male students (60.6%) and 342 female students (39.4%). Participants' ages ranged from 21 to 29 years, with a mean age of 22.31 and a standard deviation of 4.03. The findings indicated that IA was negatively correlated with MI, PsyCap, and MP. Both MI and PsyCap showed positive correlations with MP. Importantly, this study revealed that IA had a direct and negative impact on MI, PsyCap, and MP. Further, MI and PsyCap partially mediated and fully mediated the relationship between IA and MP. These findings suggest that cultivating MI and positive PsyCap among university students could be an important strategy to reduce the risks of IA and enhance their moral development. This study contributes to the limited research on the complex relationships between technology use, psychological resources, and moral functioning in emerging adulthood.

Impact of Physical Activity and Bio-Psycho-Social Factors on Social Network Addiction and Gender Differences in Spanish Undergraduate Education Students

Social network use has increased in recent years. Social networks are fast-changing and may cause negative effects such as dependence and addiction. Hence, it was decided to establish two research aims: (1) to identify the social network used by university students and their use levels according to their sex and (2) to analyse how age, body mass index, physical activity, emotional intelligence and social network type affect addiction to social networks according to young people's sex. A cross-sectional study was designed involving Spanish university students from Education Degrees. The mean age of the participants was 20.84 years (±2.90). Females made up 69.8% of the sample and males 30.2%. An online questionnaire was administered that included sociodemographic questions, IPAQ-SF and TMMS-24. This study found that all students use WhatsApp and more than 97% have YouTube and Instagram accounts. The linear regression model obtained was as follows: social network addiction = 3.355 + 0.336*emotional attention - 0.263*emotional clarity. There is a positive relationship between social network addiction and emotional attention (r = 0.25; p < 0.001) and negative relationships between social network addiction and emotional clarity (r = -0.16; p = 0.002) and between social network addiction and age (r = -0.17; p = 0.001). University students report lower levels of social network addiction and slightly higher levels of social network addiction among females. In addition, there are significant differences between the average social network addiction scores of university students in terms of their use of Telegram, TikTok and Twitch.

The interplay between social media use and problematic internet usage: Four behavioral patterns

Objective

The study aims to identify typical interplay between the use of social media apps on smartphones and Problematic Internet Usage (PIU).

Method

Our study utilizes data from a smartphone app that objectively monitors user usage, including the apps used and the start and finish times of each app session. This study included 334 participants who declared a need to be aware of their smartphone usage and control it. Problematic Internet Usage (PIU) was measured using the Problematic Internet Use Questionnaire-Short Form-6 (PIUQ-SF6). The total PIU score can range from 6 to 30, with a score above 15 indicating that a person is at risk of PIU. Time spent on Social Media (SM) apps of Facebook, WhatsApp, and Instagram, and whether people used each of these apps were studied along with the total PIU score. K-Prototype clustering was utilized for the analysis.

Results

Four distinct clusters, typifying the relationship between social media use and PIU, were identified. All the individuals in Cluster 1 (Light SM Use Cluster; Cluster size = 270, 80.84% of total dataset) spent between 0 and 109.01 min on Instagram, between 0 and 69.84 min on Facebook, and between 0 and 86.42 min on WhatsApp and its median PIU score was 17. Those who were in cluster 2 (Highly Visual SM Cluster; Cluster size = 23, 6.89% of total dataset) all used Instagram, and each member spent between 110 and 307.63 min on Instagram daily. The cluster median PIU score and average daily usage of Instagram were respectively 20 and 159.66 min. Those who were in Cluster 3 (Conversational SM Cluster; Cluster size = 19, 5.69% of total dataset) all used WhatsApp, and spent between 76.68 and 225.22 min on WhatsApp daily. The cluster median PIU score and average time spent per day on WhatsApp were 20 and 132.65 min, respectively. Those who were in Cluster 4 (Social Networking Cluster; (Cluster size = 22, 6.59% of total dataset) all used Facebook, and each spent between 73.09 and 272.85 min daily on Facebook. The cluster median PIU score and average time spent per day on Facebook were 18 and 133.61 min respectively.

Conclusion

The clusters indicate that those who use a particular social media app spend significantly less time on other social media apps. This indicates that problematic attachment to social media occurs primarily for one of three reasons: visual content and reels, conversations with peers, or surfing network content and news. This finding will help tailor interventions to fit each cluster, for example by strengthening interpersonal skills and resistance to peer pressure in the case of Cluster 3 and increasing impulse control in the case of Cluster 2.

Morningness-Eveningness and Problematic Online Activities

Online activities and problematic online behaviors have recently emerged as important research topics. However, only a few studies have explored the possible associations between these behaviors and morningness-eveningness. The authors examined whether eveningness predicts these distinct problematic online behaviors differently and directly or via mediators. The associations between eveningness and three different problematic online behaviors (problematic Internet use, problematic online gaming, and problematic social media use) were explored among a large sample of Hungarian young adults (N = 1729, 57.2% female, Mage = 22.01, SDage = 1.97) by using a self-report survey. Depression and the time spent engaging in online activities were assessed as possible mediators. The effects of age and sex were controlled for. Using structural equation modeling, the results supported the association between eveningness and the higher risk for all three problematic online behaviors and highlighted that these associations were mediated by depressive mood and time spent on the activities. In addition, eveningness also predicted PIU directly. Eveningness is a risk factor for problematic online behaviors not only because of the higher amount of time spent on the activities but also because of the worse mood associated with eveningness. The results highlight that it is important to examine the different types of online activity separately and explore the role of diverse risk factors, among them morningness-eveningness.