Similarities and differences in the psychological factors associated with generalised problematic internet use, problematic social media use, and problematic online gaming.

Problematic online behaviours are a concern among university students. Although previous research has identified that psychological distress, cognitive distortions, conscientiousness and neuroticism traits, motor impulsivity, and emotion regulation strategies have a significant direct effect on generalised problematic Internet use (GPIU), problematic social media use (PSMU), and problematic online gaming (POG), it is still necessary to determine the extent to which these psychological factors, taken together, are associated with each of the problematic online behaviours. In a sample of 690 Spanish university students, the present study examined the relationship of these psychological factors with GPIU, PSMU, and POG. Correlation and regression analyses were performed. Results reported that (1) high psychological distress, low conscientiousness trait and high motor impulsivity were common associated factors of GPIU and PSMU, but not of POG; (2) high levels of cognitive distortions and cognitive reappraisal were common associated factors of GPIU, PSMU and POG; and (3) expressive suppression and neuroticism trait had no effect on any of the three problematic online behaviours. The findings will help to develop effective prevention and intervention strategies for each problematic online behaviour in the university context.

The relationship between physical exercise and problematic internet use in college students: the chain-mediated role of self-control and loneliness.

OBJECTIVE: From the perspective of exercise psychology, to investigate the antefacts of problematic internet use (PIU) in college students, and to reveal the chain mediating effect of self-control and loneliness between physical exercise and PIU. METHODS: 1081 college students in Chongqing, China were investigated by Physical Activity Rating Scale (PARS-3), Self-control Scale (SCS), Loneliness Scale (UCLA), and Internet Addiction Scale (CIAS-R), and the data were statistically analyzed by SPSS25.0 and AMOS21.0 software. RESULTS: (1) There was a significant negative correlation between physical exercise and PIU, and the former has a direct negative predictive effect on the latter. (2) Physical exercise could indirectly influence the PIU of college students through the partial mediating effect of self-control and loneliness, respectively. (3) Physical exercise could also indirectly influence PIU through the chain mediation of "self-control → loneliness". CONCLUSION: Maintaining regular physical exercise can promote the improvement of self-control and the weakening of the loneliness experience of college students, and then help to prevent or alleviate PIU behavior, which is of great significance for psychological and behavioral health.

Using machine learning algorithms and techniques for defining the impact of affective temperament types, content search and activities on the internet on the development of problematic internet use in adolescents' population.

Background: By using algorithms and Machine Learning - ML techniques, the aim of this research was to determine the impact of the following factors on the development of Problematic Internet Use (PIU): sociodemographic factors, the intensity of using the Internet, different contents accessed on the Internet by adolescents, adolescents' online activities, life habits and different affective temperament types. Methods: Sample included 2,113 adolescents. The following instruments were used: questionnaire about: socio-demographic characteristics, intensity of the Internet use, content categories and online activities on the Internet; Facebook (FB) usage and life habits; The Internet Use Disorder Scale (IUDS). Based on their scores on the scale, subjects were divided into two groups - with or without PIU; Temperament Evaluation of Memphis, Pisa, Paris, and San Diego scale for adolescents (A-TEMPS-A). Results: Various ML classification models on our data set were trained. Binary classification models were created (class-label attribute was PIU value). Models hyperparameters were optimized using grid search method and models were validated using k-fold cross-validation technique. Random forest was the model with the best overall results and the time spent on FB and the cyclothymic temperament were variables of highest importance for these model. We also applied the ML techniques Lasso and ElasticNet. The three most important variables for the development of PIU with both techniques were: cyclothymic temperament, the longer use of the Internet and the desire to use the Internet more than at present time. Group of variables having a protective effect (regarding the prevention of the development of PIU) was found with both techniques. The three most important were: achievement, search for contents related to art and culture and hyperthymic temperament. Next, 34 important variables that explain 0.76% of variance were detected using the genetic algorithms. Finally, the binary classification model (with or without PIU) with the best characteristics was trained using artificial neural network. Conclusion: Variables related to the temporal determinants of Internet usage, cyclothymic temperament, the desire for increased Internet usage, anxious and irritable temperament, on line gaming, pornography, and some variables related to FB usage consistently appear as important variables for the development of PIU.

Lifestyle Habits Related to Internet Use in Adolescents: Relationships between Wellness, Happiness, and Mental Health.

BACKGROUND: Studies in recent years have shown a significant increase in problematic internet use. Prolonged internet usage negatively impacts various aspects of adolescents' lifestyles. METHODS: The survey was conducted in three Lithuanian cities-Vilnius, Klaipeda, and Moletai-between October and December of 2023. The survey involved students between the ages of 12 and 16. The participants completed a questionnaire that included questions about wellness and happiness, the Internet Addiction Test (IAT), and the Strengths and Difficulties Questionnaire (SDQ). Our study aimed to investigate problematic internet use among Lithuanian adolescents and its relationships with wellness, happiness, and mental health. RESULTS: This study included 1412 adolescents, with a mean age of 14.41 ± 1.20, with the sample composed of 52.3% boys. Boys indicated that they felt healthier and happier than girls (69.4% vs. 47.4%; 51.4% vs. 29.6%), p < 0.001. A total of 20.8% of students had IAT scores that reflect a normal level of internet usage. For IAT, the average score of girls was statistically significantly higher than that of boys (41.87 ± 12.24 vs. 39.96 ± 12.37), p < 0.001. The IAT score was higher in the group of students who felt less happy and healthy, had more frequent headaches or abdominal pain, and had problems with sleep, p < 0.001. A statistically significant, positive weak correlation was found between students' IAT scores and SDQ internalizing and SDQ externalizing scores (r = 0.366; r = 0.385, p < 0.001). CONCLUSIONS: Prolonged internet use is arising as a serious problem among adolescents. Negative feelings, unhappiness, and poor emotion regulation have an association with internet addiction. Also, the female gender may be more associated with possible internet addiction. The results of this study can serve as initial steps toward developing preventive interventions.

Cross-Cultural Examination of Problematic Internet Use and Associated Psychological Variables: A Comparative Study in Italy, Spain, Ecuador, and Peru.

Background: Several studies focused on the escalating prevalence of Problematic Use of Internet (PUI) and its consequential impact on mental health globally. This study investigates the relationship between PUI and associated psychological variables across different cultural contexts in Italy, Spain, Ecuador, and Peru. Method: A total of 675 participants, aged 18 to 54 (M = 22.73; SD = 4.05), completed measures assessing Internet addiction, social media addiction, Fear of Missing Out, Internet Gaming Disorder, and Phubbing. Results: Significant cultural variations were found, with Italian participants showing higher levels of Internet addiction but lower levels of social media addiction compared to other countries. Fear of Missing Out was higher in Italy, while the Italian sample exhibited lower Internet Gaming Disorder levels compared to Peru. As regards the communication disturbance caused by Phubbing, the Italian sample demonstrated significantly higher scores than the Peruvian sample. Linear regression analyses revealed distinct predictors for problematic Internet use in each country, emphasizing the importance of considering the cultural context in understanding this phenomenon. Conclusions: These findings contribute valuable insights into the interplay of cultural factors, psychological variables, and problematic Internet use, guiding future research and interventions.

The comorbidity mechanism of problematic internet use and depression among Chinese college students: A cross-lagged panel network analysis.

Problematic internet use (PIU) and depression usually co-occur and are common among college students. According to network theory, it may be attributed to the interplay of symptoms that connect these two mental health problems. However, most studies have failed to examine complex and subtle connections at the symptom level and have not clarified how PIU and depression symptoms are intercorrelated, which symptoms serve as the source of comorbidity (i.e., the central symptoms), and whether such a comorbidity mechanism would change with higher grades. To explore these questions, this study examined four contemporaneous networks and three cross-lagged panel networks, visualizing the symptoms as nodes and the connections between symptoms as edges. A total of 2,420 college students (Mage = 18.35, SD = 0.84; 67.98 % girls) completed four annual surveys. Overall, the results of contemporaneous networks and cross-lagged panel networks indicated that (a) PIU and depression symptoms are intercorrelated; (b) the core symptoms responsible for comorbidity mostly belonged to PIU, and (c) the comorbidity mechanism would change with time. These findings explain the dynamic relation between PIU and depression and identify possible primary symptoms that comorbidity programs can mitigate at different stages of the college years.

Mindfulness programs for problematic usage of the internet: A systematic review and meta-analysis.

Introduction: Problematic usage of the internet (PUI) is an umbrella term for a range of uncontrolled, excessive, and potentially harmful online behaviors. Recently, numerous studies have examined the potential of mindfulness programs (MPs) for reducing PUI. We conducted a comprehensive systematic review and meta-analysis in this emerging field. Methods: We searched eight databases from inception to October 18, 2022, with no language restrictions. We included randomized controlled trials (RCTs) and nonrandomized trials (NRTs). The primary outcome was change in self-reported PUI, the secondary outcome was change in screen time. Results: Of 3,473 identified records, 19 RCTs and 20 NRTs with a total of 1,549 participants were included. Participation in an MP was associated with large reductions in PUI in between-group analysis in RCTs (k = 19; g = -1.67; 95% CI -2.15, -1.19) and in within-group pre-post analysis in all studies (k = 35; g = -1.67; 95% CI -1.99, -1.36). Screen time showed a medium reduction in within-group pre-post analysis (k = 10; g = -0.65; 95% CI -0.90, -0.41). The effects for PUI remained significant in a series of sensitivity analyses, such as excluding low quality studies, excluding outliers, adjusting for publication bias, or using follow-up data. Heterogeneity between studies was high and the overall quality of evidence was rated low. Discussion and conclusions: MPs are probably effective in reducing PUI and might be effective in reducing screen time. Shortcomings in the quality of evidence highlight the need for high-quality controlled trials with long-term follow-ups to confirm results.

Parent-adolescent conflict and problematic internet use among Chinese adolescents: the mediating role of depression and the moderating role of school climate.

BACKGROUND: Problematic Internet use (PIU) may lead adolescents to physical, emotional, social, or functional impairment due to the risky, excessive, or impulsive internet use manner. How do the experiences of adolescents influence them using the internet in a problematic manner? The answer to this question is the key to preventing and intervening PIU of adolescents. To address this question, we focus on the interactions among family (parent-adolescent conflict), school (school climate), and individual factors (PIU, depression), exploring the influence factors of PIU. METHODS: A moderated mediation model was constructed to explore the relationship between variables. Using a two-wave longitudinal design with a six-month interval between timepoints, this study collected data from 801 Chinese adolescents (411 boys, Mage = 14.68) by questionnaires. Path analysis was employed to test the model and participants' age, sex and baseline were controlled. RESULTS: Parent-adolescent conflict at Time 1 (T1) was positively related to PIU at Time 2 (T2) in adolescents. Depression at T2 mediated the relationship between parent-adolescent conflict at T1 and PIU at T2. School climate at T2 significantly moderated the mediation effect of depression on the relationship between parent-adolescent conflict at T1 and PIU at T2. Specifically, positive school climate could significantly weaken the negative effect of depression on PIU for adolescents with low level of depression. CONCLUSIONS: The present study reveals that parent-adolescent conflict leads to PIU in adolescents through depression whilst the school climate moderates the impacts of depression on PIU. This adds further evidence regarding the significance of systematically and consistently incorporating family and school in the alleviating of problem behaviors displayed by teens.

The mediation roles of self-regulation and problematic internet use: How maladaptive parenting during the COVID-19 pandemic influenced adolescents' academic procrastination in the postpandemic era.

INTRODUCTION: In the transition to the postpandemic era, adolescents are working to shift their focus back to school. However, the prevalence of academic procrastination is reflective of that the aftereffects of the pandemic are persisting. Literature documents the increases in the negative parenting behaviors and internet use of adolescents during the pandemic. The excessive internet use has to do with adolescents' self-regulatory capabilities and self-regulation is profoundly shaped by parents' parenting practices. Given the connections among these factors, the present study seeks to understand how maladaptive parenting practices during the pandemic influenced adolescents' academic procrastination postpandemic through the mediation of self-regulation and problematic internet use. METHOD: Using three waves of data from a total of 1062 Chinese adolescents (Mage = 14.9 years old, SD = 1.6, 13-18 years old; 45% female), we used structural equation modeling to examine the direct effect of maladaptive parenting on academic procrastination and its indirect effect via self-regulation and problematic internet use. RESULTS: Maladaptive parenting during the pandemic did not directly predict adolescent academic procrastination post-pandemic. Yet, maladaptive parenting indirectly influenced academic procrastination both through self-regulation solely and self-regulation and problematic internet use sequentially. CONCLUSION: The findings demonstrate that parents can contribute to adolescents' academic procrastination by influencing their self-regulation ability, which further impacts their internet use. Self-regulation serves as a robust mediator between parenting and adolescents' problematic behaviors related to internet use and learning. Implications for parents and intervention oriented toward adolescents are discussed.

The Impact of Problematic Internet Use on Adolescent Loneliness-Chain Mediation Effects of Social Support and Family Communication.

Purpose: To explore the relationship between adolescents' problematic Internet use and loneliness and the mediating roles of social support and family communication. Methods: A questionnaire survey of 2483 adolescents aged 12-17 years in 148 cities in China was conducted using the Problematic Internet Use Scale, the Collaborative Social Support Scale, the Family Communication Scale, and the Loneliness Scale. The data were statistically analyzed by SPSS 26.0 and validated by AMOS 28.0. Structural equation modelling (SEM) was conducted to test the effects of problematic Internet use on adolescents' loneliness and the mediating effects of perceptions of social support and family communication. Results: There was a significant positive effect of adolescents' problematic Internet use on loneliness (B-0.471, P<0.001), and the mediating effects of perceptual social support (0.003, 0.012) and family communication (0.008, 0.019) were found to play a chain effect between adolescents' problematic Internet use and loneliness, respectively. Use and feelings of loneliness played a chain mediating role (0.002, 0.006). Conclusion: This study identified the effects of adolescent problematic Internet use on loneliness and its mechanism of action, emphasized the importance of social support and family communication, and provided practical insights for improving family parenting styles and preventing and intervening in adolescent loneliness problems.

I rely on a little help from my friends: the effect of interpersonal and intrapersonal emotion regulation on the relationship between FOMO and problematic internet use.

BACKGROUND: This study investigated the role of emotion regulation in relation to the links between fear of missing out (i.e., FOMO) and two components of problematic internet use: problematic social media use and doomscrolling. METHODS: Participants (N = 603, Mage = 30.41, SDage = 7.64; 49.1% male-identifying) completed measures of fear of missing out, intrapersonal and interpersonal emotion regulation, and problematic social media use, and doomscrolling. A parallel mediation model was tested to examine the nature of the associations between fear of missing out, intrapersonal, and interpersonal emotion regulation, in accounting for variance in the outcome measures. RESULTS: Analyses revealed that the effect of fear of missing out on problematic social media use was fully mediated by both intrapersonal and interpersonal emotion regulation. In contrast, the effect on doomscrolling was fully mediated by intrapersonal emotion regulation only. CONCLUSIONS: Findings clarify the role of emotion regulation in explaining the relationship between fear of missing out and two types of problematic internet use, indicating a need to consider individual differences in emotion regulation in an evolving social media landscape.

What are practitioners' views of how digital health interventions may play a role in online child sexual abuse service delivery?

Introduction: Online child sexual abuse (OCSA) affects considerable numbers of children globally and is associated with a variety of mental health problems. Existing practitioner studies suggest that young people are infrequently asked about online abuse and practitioners have a fragmented understanding of the problems experienced or how they might approach them. There are very few evidence-based interventions that guide clinical assessment or practice. Digital Health Interventions (DHIs) have the potential to be an effective option where children and young people's services are challenged, including accessibility and anonymity. The aim of this study was to explore mental health practitioners' views of how DHIs may play a role in supporting young people who have experienced OCSA, and the role they can play in healthcare delivery. Method: In-depth qualitative interviews and one focus group were conducted with 25 child mental health professionals across two sites (Manchester and Edinburgh). Data was analyzed using reflexive thematic analysis. Results: Three overarching themes and 9 sub-themes were identified: (1) feeling a little bit lost; (2) seeing potential problems; and (3) knowing what works. Practitioners expressed interest in a DHI to support this client group and saw it as a way of managing waiting lists and complementing existing therapies. They felt that many young people would see this as a preferred medium to in-person therapy, would be empowering, and offers new ways of learning how to stay safe online. However, there were concerns about how much time would be needed by staff to deliver a DHI, anxieties about safety issues in relation to content and data protection, some of which may be unique to this population of young people, and concerns about the absence of a therapeutic relationship with vulnerable children. Discussion: Our findings indicated that practitioners were uncertain about working with children subjected to OCSA but were receptive to the possibility of using a DHI to support their practice and to reduce waiting lists. Concerns were expressed about the time needed for staff training and support as well as concerns over patient safety and the lack of evidence about the effectiveness of an unsupported DHI.

Comparison of Opioid Use Disorder Patients with and without Problematic Internet Use in Terms of Impulsivity and Attention Deficit Hyperactivity Disorder.

AIMS: This study seeks to investigate ADHD symptoms and impulsivity among individuals diagnosed with Opioid Use Disorder (OUD) who also exhibit symptoms of Problematic Internet Use (PIU). METHODS: The study involved the participation of 360 Opioid Use Disorder (OUD) patients enrolled at an Alcohol and Drug Addiction Treatment Center (ADATC) during the period from October to December 2022. Various assessment tools were administered, including Young's Internet Addiction Scale (YIAS), Beck Depression Inventory (BDI), Beck Anxiety Inventory (BAI), Barratt Impulsiveness Scale (BIS), and Adult ADHD Self-Report Scale (ASRS). Problematic Internet Use (PIU) was identified by YIAS scores equal to or exceeding 50. RESULTS: The majority of participants diagnosed with OUD showed comorbid PIU with high levels of depression, anxiety and ADHD symptoms. Both BDI and BAI scores showed a significant increase in the PIU group compared to the non-PIU group (p<0.001). Significant differences were observed in BIS Motor Impulsivity, Attentional Impulsivity and Total scores, indicating higher impulsivity in the PIU group (all p<0.001). Additionally, higher ASRS scores were found in the PIU group (p<0.001). DISCUSSION: These findings highlight the importance of addressing PIU and comorbidities in OUD treatment. Interventions targeting ADHD symptoms and emotional well-being may benefit PIU management.

Problematic usage of the internet among Hungarian elementary school children: a cross-sectional study.

INTRODUCTION: Problematic usage of the internet (PUI) is perhaps one of the most frequently studied phenomena of the 21st century receiving increasing attention in both scientific literature and the media. Despite intensive research there have been relatively few meaningful studies among elementary school students in Hungary and worldwide, who may be considered as a high-risk population with regard to problematic internet use. The aim of our study was to carry out a complex research focusing on the prevalence and risk factors of PUI among elementary school children aged 10-15 years (Grade 5-8). METHODS: Demographics included were gender, age, place of stay, type of residence, family type, parental education, start of internet use, used devices, daily internet use, purpose of internet use, internet accounts, ways of keeping in touch with friends and sporting activities. PUI was evaluated using the paper-based version of the Potentially Problematic Use of the Internet Questionnaire. RESULTS: Overall, 2000 paper-based questionnaires were successfully delivered and the final analysis included 1168 responses (overall response rate 58.4%). Mean age was 12.55 ± 1.24 years. Female gender (OR = 2.760, p = 0,006, CI 95% 0.065 to 0.384), younger age (11-12 years) (OR = 3.812, p < 0.001, 95% CI: 1.747-4.731), early exposure to the internet (OR = 3.466, p = 0.001, 95% CI 1.535-5.446), living in a small village (OR = 1.081, p = 0.002, 95% CI 1.041-1.186) urgency to answer online (OR = 4.677, p < 0.001, 95% CI: 2.714-6.639), decreased frequency of personal contact with friends (OR = 2.897, p = 0.004, 95% CI: 1.037-1.681), spending more than 6 h online (OR = 12.913, p < 0.001, 95% CI: 10.798-14.892), morning and nighttime internet use (OR = 3.846, p < 0.001, CI 95% 1.886-5.810) and never doing any sports (OR = 2.016, p = 0.044, 95% CI: 1.050-3.354) were independently associated with problematic internet use. CONCLUSIONS: Based on the results of our questionnaire survey more than 10% seemed to be problematic users in our study population, which is a relatively high rate. Early exposure to the internet as well as younger age were strongly related to this phenomenon. Duration of being online as well as daily time interval of internet use are important predisposing factors. Scarcely studied social factors such as being online at the expense of personal relationships and the lack of physical activity should be payed more attention to prevent the development of PUI.

Dissociation of prepotent response inhibition and interference control in problematic internet use: evidence from the Go/No-Go and Flanker tasks.

BACKGROUND: Problematic Internet Use (PIU), characterized by failures to control the overuse of internet, is associated with a range of functional impairments. However, there is limited research on the specific impact of PIU on inhibitory control functions, particularly in terms of differentiating between prepotent response inhibition and interference control. Therefore, the main objective of this study is to investigate these two components of inhibitory control in individuals with PIU. METHODS: Thirty participants who met the PIU criteria and 30 control participants were included in the present study. All participants completed the Go/No-Go and Flanker tasks, in which internet-related images and words were used as task stimuli. RESULTS: In the Go/No-Go task, all participants exhibited poorer performance in inhibiting internet-related stimuli compared to internet-unrelated stimuli, during the No-Go trials. In the Flanker task, results revealed a three-way interaction of Group, Stimulus type and Congruency. Specifically, in the incongruent condition, participants with PIU exhibited slower responses for internet-unrelated targets compared to internet-related targets, whereas no similar effect was observed among individuals with low internet use. CONCLUSIONS: The findings suggest that difficulties in controlling the interference effect of internet-related information represent a key dysfunction in inhibitory control of PIU.

Gratification and its associations with problematic internet use: A systematic review and meta-analysis using Use and Gratification theory.

Problematic Internet Use (PIU) has been a growing issue for two decades, and many researchers have sought to explain its occurrence. Use and Gratification Theory (UGT) has guided empirical studies investigating the associations between gratification and PIU. However, their results appear equivocal. This study aimed to synthesize research findings applying UGT and pinpoint the associations between different gratifications and PIU. Effect sizes were pooled to obtain an overall effect size. Gratifications were then classified into four types (i.e., content, social, self-presentation, and process) according to the suggestions of previous studies and the measurement of included studies. Based on 216 effect sizes from 57 samples with 38,492 participants (mean age = 24.3; 55.1 % female), random effect model analyses yielded a medium effect size (r = 0.303, p <.001, 95 % CI [0.263, 0.343]), indicating a positive association between general gratification and PIU. Subgroup analyses revealed that all four gratifications were positively associated with PIU; self-presentation showed the largest effect size, followed by process gratification.This study enhances the conceptual relevance of UGT in understanding PIU and highlights the importance of process and self-presentation gratification as predictors for PIU in certain contexts, such as among university students and in Asian countries.

Network Structure and Clustering Analysis Relating to Individual Symptoms of Problematic Internet Use in a Community Adolescent Population.

INTRODUCTION: Problematic internet use (PIU) is a psychopathology that includes multiple symptoms and psychological constructs. Because no studies have considered both network structures and clusters among individual symptoms in the context of PIU in a Korean adolescent population, this study aimed to investigate network structures and clustering in relation to PIU symptoms in adolescents. METHODS: Overall, 73,238 adolescents were included. PIU severity was assessed using a self-rating scale comprising 20 items and 6 subscales, namely, the Internet Addiction Proneness Scale for Youth-Short Form; KS scale. Network structures and clusters among symptoms were analyzed using a Gaussian graphical model and exploratory graph analysis, respectively. Centrality of strength, closeness, and betweenness scores was also calculated. RESULTS: Our study identified four clusters: disturbance in adaptive functioning, virtual interpersonal relationships, withdrawal, and tolerance. The symptom of confidence served as a node bridging the cluster of virtual interpersonal relationships and other clusters of withdrawal and disturbances of adaptive function. The symptom of craving served as a bridge between the clusters of withdrawal and tolerance with high betweenness centrality. CONCLUSION: This study identified network structures and clustering among PIU symptoms in adolescents and revealed that positive experiences derived from online interpersonal relationships were an important mechanism underlying PIU. These are novel insights concerning the interconnection among multiple symptoms and related clustering for the mechanism of adolescent PIU in terms of KS-scale PIU assessment.

The Effects of Problematic Internet Use and Emotional Connotation on Internet Slang Processing: Evidence from a Lexical Decision Task.

Young people use slang for identifying themselves with a particular social group, gaining social recognition and respect from that group, and expressing their emotional state. One feature of Internet slang is its active use by youth in online communication, which, under certain conditions, may cause problematic Internet use (PIU). We conducted two studies in young Russian speakers (n1 = 115, n2 = 106). In study 1, participants were asked to rate a set of slang and common words using Self-Assessment Manikin. The study revealed that the most reliable predictor of higher emotional ratings was word familiarity. There were no significant effects of slang vs. common words or word frequency. In study 2, we used a dual lexical decision task to reveal the effects of word characteristics and propensity for PIU on reaction time (RT) for Internet slang words in pairs with semantically related vs. unrelated common words. Study 2 did not reveal any significant semantic priming effect. Word frequency was a significant predictor of lexical decision facilitation. Common, but not slang, word valence and dominance significantly affected RT in the opposite direction. Individuals with higher cognitive preoccupation with the Internet responded significantly faster, while those more likely to use online communication for mood regulation responded significantly slower to the stimuli. Apparently, on explicit and implicit levels, in-depth knowledge of Internet slang can be one the PIU markers. The results are discussed in line with Davis' approach to determining the general pathological Internet use.

Mom, dad, put down your phone and talk to me: how parental phubbing influences problematic internet use among adolescents.

BACKGROUND: The positive association of parental phubbing with internalising and externalising problems among adolescents has gained academic traction. To date, limited research has investigated the association of parental phubbing and adolescents' Problematic Internet Use (PIU). Furthermore, the mechanism underlying this association is largely unknown. These gaps limit our understanding of family-related issues affecting PIU among adolescents. The present study explores whether there is a relation between parental phubbing and PIU and investigates the mechanisms underlying this relation among adolescents. METHODS: The participants were 495 junior high schoolers aged 11-15 years. Participants completed questionnaires on their experiences with PIU, parental phubbing, parent-child relationships, and basic psychological needs satisfaction. RESULTS: The results showed a direct and indirect positive association between parental phubbing and PIU. Furthermore, parental phubbing indirectly influenced PIU and was mediated by the parent-child relationship and basic psychological needs satisfaction, respectively. Moreover, the parent-child relationship and basic psychological needs satisfaction were sequentially mediated. CONCLUSIONS: Our study highlights the crucial role of parents in the development of adolescent PIU and provides theoretical and practical guidelines for PIU prevention and intervention.

Prediction of Junior High School Students' Problematic Internet Use: The Comparison of Neural Network Models and Linear Mixed Models in Longitudinal Study.

Purpose: With the rise of big data, deep learning neural networks have garnered attention from psychology researchers due to their ability to process vast amounts of data and achieve superior model fitting. We aim to explore the predictive accuracy of neural network models and linear mixed models in tracking data when subjective variables are predominant in the field of psychology. We separately analyzed the predictive accuracy of both models and conduct a comparative study to further investigate. Simultaneously, we utilized the neural network model to examine the influencing factors of problematic internet usage and its temporal changes, attempting to provide insights for early interventions in problematic internet use. Patients and Methods: This study compared longitudinal data of junior high school students using both a linear mixed model and a neural network model to ascertain the efficacy of these two methods in processing psychological longitudinal data. Results: The neural network model exhibited significantly smaller errors compared to the linear mixed model. Furthermore, the outcomes from the neural network model revealed that, when analyzing data from a single time point, the influences of seventh grade better predicted Problematic Internet Use in ninth grade. And when analyzing data from multiple time points, the influences of sixth, seventh, and eighth grades more accurately predicted Problematic Internet Use in ninth grade. Conclusion: Neural network models surpass linear mixed models in precision when predicting and analyzing longitudinal data. Furthermore, the influencing factors in lower grades provide more accurate predictions of Problematic Internet Use in higher grades. The highest prediction accuracy is attained through the utilization of data from multiple time points.