Smartphone Addiction Research Articles

Unveiling the grip of mobile phone addiction: an in-depth review.

Mobile Phone Addiction represents an emergent addictive disorder that gravely jeopardizes the physical and mental health of adolescents worldwide, necessitating exhaustive research. Current reviews of MPA are in dire need of updates and enhancements. Therefore, this review aggregates the extant research spanning the past two decades on the prevalence, pathogenesis, comorbidities, assessment, and treatment of MPA, aiming to furnish a reference for future investigations into this condition.

A Network Structure of Mental Health and Problematic Mobile Phone Use Among Middle School Students.

Numerous studies have shown that the mental health of middle school students is closely related to problematic mobile phone use. The purpose of this study is to investigate the network structure between the dimensions of the Middle School Students Mental Health Scale and the items of the Self-Rating Questionnaire for Adolescent Problematic Mobile Phone Use by using the network analysis, to clarify the core symptoms and bridge symptoms of the network structure, and to provide ideas and methods for intervening in the mental health and problematic mobile phone use of middle school students. A stratified cluster sampling method was used to select 1637 students from four general middle schools in Xiamen in June 2020 for the survey, and the Middle School Students Mental Health Scale (MSSMHS-60) and the Self-Rating Questionnaire for Adolescent Problematic Mobile Phone Use (SQAPMPU) were used. SPSS28.0 was used for descriptive statistical analysis and R (version 4.2.1) for network analysis. 1. The core symptoms of the network of middle school students' mental health and problematic mobile phone use were "spending more time playing with the phone in order to be satisfied", anxiety, and depression; 2. The bridge symptoms of the network of middle school students' mental health and problematic mobile phone use were academic stress, psychological disequilibrium, and "depression without phone". Reducing the time of smartphone use and relieving anxiety and depression can improve the mental health of middle school students and reduce the incidence of problematic mobile phone use; helping middle school students adjust their study pressure and improving their social support level can reduce the severity of problematic mobile phone use.

Mobile phone dependence among Chinese university students: the contribution of irrational beliefs and solitude.

This research aimed to explore the impact of selected psychological variables on mobile phone dependence among Chinese university students. Specifically, the study focused on the relationship between solitude and irrational beliefs on mobile phone dependence. The study included 2,888 university students from Guangdong, Southern China, and found that both irrational beliefs and solitude had significant direct effects on mobile phone dependence. The study also revealed that solitude mediated the relationship between irrational beliefs and mobile phone dependence. The results of this study indicate that psychosocial environments, including feelings of solitude and irrational beliefs, can influence mobile phone dependence among undergraduate students. Therefore, it is important to pay attention to these factors and their potential impact on student behavior, particularly when it comes to academic growth and development. Further research in this area may help identify effective strategies to address mobile phone dependence among university students and promote healthier psychosocial environments.

Parental mediation and mobile phone dependency among Chinese migrant children: A moderated mediation model of self-control and parent-child communication

Previous research has identified the association between parental mediation and children’s mobile phone dependency. However, limited studies have focused on migrant children and explored the underlying mechanisms from the perspective of the interaction between individual and family. To address this gap, an anonymous self-report survey was conducted among 686 migrant children in mainland China. This study finds that the prevalence rate of mobile phone dependency among migrant children was 33.82%. The results demonstrate that both parental mediation and self-control negatively related to mobile phone dependency among migrant children. Self-control fully mediates the relationship between parental mediation and mobile phone dependency among migrant children. Moreover, parent–child communication moderates the relationship between parental mediation and self-control. Specifically, individuals with high-level parent–child communication exhibit stronger moderating effects compared to those with low-level parent–child communication. These findings contribute to a better understanding of the complex mechanism through which parental mediation affects mobile phone dependency among migrant children while also providing practical implications aimed at preventing and reducing mobile phone dependency

Frequent absent mindedness and the neural mechanism trapped by mobile phone addiction

IntroductionWith the increased availability and sophistication of digital devices in the last decade, young people have become mainstream mobile phone users. Heavy mobile phone dependence causes affective problems (depression, anxiety) and loss of attention on current activities, leading to more cluttered thoughts. Problematic mobile phone use has been found to increase the occurrence of mind wandering, but the neural mechanism underlying this relationship remains unclear. MethodThe current study aimed to investigate the neural mechanism between mobile phone use and mind wandering. 459 university students (averaged age, 19.26 years) from datasets (ongoing research project named Gene-Brain-Behavior project, GBB) completed psychological assessments of mobile phone addiction and mind wandering and underwent resting-state functional connectivity (FC) scanning. FC matrix was constructed to further conduct correlation and mediation analyses. ResultsStudents with high mobile phone addiction scores were more likely to have high mind wandering scores. Functional connectivity among the default mode, motor, frontoparietal, basal ganglia, limbic, medial frontal, visual association, and cerebellar networks formed the neural basis of mind wandering. Functional connectivity between the frontoparietal and motor networks, between the default mode network and cerebellar network, and within the cerebellar network mediated the relationship between mobile phone addiction and mind wandering. ConclusionThe findings of this study confirm that mobile phone addiction is a risk factor for increased mind wandering and reveal that FC in several brain networks underlies this relationship. They contribute to research on behavioral addiction, education, and mental health among young adults.

Using Network Analysis to Subgroup Risk Factors for Depressive Symptoms in College Students.

Network modeling has been suggested as an effective method to explore intricate relationships among antecedents, mediators, and symptoms. In this study, we aimed to investigate whether the severity of depressive symptoms in college students affects the multivariate relationships among anhedonia, smartphone addiction, and mediating factors. A survey was conducted among 1347 Chinese college students (587 female) to assess depressive symptoms, anhedonia, addictive behaviors, anxiety, and insomnia. The participants were categorized the non-depressive symptom (NDS) and depressive symptom (DS) groups based on a cut-off score of 5 on the 9-item Patient Health Questionnaire-9. Network analysis was performed to investigate the symptom-to-symptom influences of symptoms in these two groups. The network of the DS group was more densely connected than that of the NDS group. Social anticipatory anhedonia was a central factor for DS, while withdraw/escape (one factor of smartphone addiction) was a central factor for NDS. The DS group exhibited greater strength between the PHQ9 score and social anticipatory anhedonia, as well as between the PHQ9 score and alcohol misuse score, compared to the NDS group. On the other hand, the NDS group had higher strength between anxiety and feeling lost, as well as between anxiety and withdraw/escape, compared to the DS group. The findings suggest that there is a close relationship between social anhedonia, smartphone addiction, and alcohol consumption in the DS group. Addressing on ameliorating social anhedonia and smartphone addiction may be effective in preventing and managing depression in college students.

A Meta-Analysis of Self-Regulation and Digital Recreation from Birth to Adolescence

There is good reason to implicate self-regulation in our digital recreation duration, choices, and behaviours. However, the direction, degree, and diversity of their association is unclear. To offer more robust and nuanced evidence to this issue of acute public concern, the current study presents a comprehensive meta-analysis of the associations between self-regulation and digital recreation from birth to adolescence – consolidating 183 studies reporting 232 associations from 234,476 children and adolescents. Across these studies, digital recreation clustered into investigations of screen time, features of problematic digital engagement, exposure to violent content, communicating with strangers online, sexting, and media multitasking. Although a pattern of negative bivariate associations was observed between self-regulation and aspects of digital recreation, the strength of association for screen time was weak (r = -.04 for computer use to r = -.15 for social media use). Once control variables were considered, relationships with exposure to violent digital content were rendered similarly trivial, suggesting other variables likely account for these correlations. This reduces our confidence in these associations. In contrast, lower self-regulation was more highly associated with problematic engagement (r = -.28 for problematic gaming to r = -.41 for problematic mobile phone use), communicating with strangers online (r = -.18), and sexting (r = -.20). This pattern of results points to a relationship that is variable by type of digital activity, which in our meta-analyses ranged from null to strong and negative. Where a relationship exists, it may be bi-directional given associations remained for longitudinal studies that positioned either self-regulation or digital recreation as predictor. Few moderators of these associations were significant, including that the negative association of self-regulation with time spent gaming was increasingly strong with increasing participant age. This study instigates a disentangling of the nature of the relationship between self-regulation and digital choices and behaviours across the early stages of life.

Machine learning based classification of excessive smartphone users via neuronal cue reactivity

Excessive Smartphone Use (ESU) poses a significant challenge in contemporary society, yet its recognition as a distinct disorder remains ambiguous. This study aims to address this gap by leveraging functional magnetic resonance imaging (fMRI) data and machine learning techniques to classify ESU and non-excessive smartphone users (n-ESU) based on their neural Cue-Reactivity (CR) signatures. By conducting a CR task and analyzing brain activation patterns, we identified spatial similarities between addictive smartphone use and established addictive disorders. Our approach involved employing Support Vector Machines (SVM) for classification, enhanced with feature selection methods such as Recursive Feature Elimination (RFE) and Model-based Selection and dimensionality reduction methods such as and Principal Component Analysis (PCA) to mitigate the challenges posed by limited dataset size and high dimensionality of fMRI data. The results demonstrate the effectiveness of our classification model, achieving accuracies of up to 79.9 %. Furthermore, we observed region-specific activations contributing significantly to classification accuracy, highlighting the potential biomarkers associated with ESU. External validation on longitudinal data revealed the necessity for larger training datasets to improve model generalizability. Additionally, feature selection techniques proved crucial for optimizing model performance, particularly in datasets with combined information from multiple sources. Our findings underscore the importance of incorporating more data to enhance model stability and generalizability, with implications for advancing the understanding and treatment of ESU and related disorders. Overall, our study demonstrates the promise of machine learning approaches in elucidating neural correlates of ESU and informing targeted interventions for affected individuals.

What Makes Chinese Adolescents Glued to Their Smartphones? Using Network Analysis and Three-Wave Longitudinal Analysis to Assess How Adverse Childhood Experiences Influence Smartphone Addiction

What Makes Chinese Adolescents Glued to Their Smartphones? Using Network Analysis and Three-Wave Longitudinal Analysis to Assess How Adverse Childhood Experiences Influence Smartphone Addiction

The Relationship of Academic Stress, Self-Control, Social Exclusion with Smartphone Addiction in Junior High School Students

The phenomenon of smartphone addiction in junior high school students needs serious attention to identify the factors that influence it. This study aims to analyze the relationship between academic stress, self-control, and social isolation and smartphone addiction in junior high school students. This research used a quantitative approach with 216 class VII and VIII subjects at SMP Negeri 2 Palangka Raya obtained using quota sampling. Data was obtained using the Smartphone Addiction Scale, Educational Stress Scale for Adolescents (ESSA), Brief Self-Control Scale (SCS), and General Belongingness Scale (GBS), which was then analyzed using Spearman's rho correlation analysis. The results of the research show that there is a positive relationship between academic stress and smartphone addiction in junior high school students. There is no relationship between self-control and smartphone addiction in junior high school students. There is a positive relationship between social isolation and smartphone addiction in junior high school students. Levels of smartphone addiction and academic stress tend to be high, while levels of self-control tend to be low to medium, and levels of social isolation tend to be moderate to low. The research suggests that it is essential to pay attention to academic stress and social isolation in order to prevent or overcome smartphone addiction in junior high school students.

Smartphone addiction and its correlation with academic performance in high school adolescents: An observational study

Abstract Background: The widespread use of smartphones, particularly among youth, has raised concerns about smartphone addiction and its adverse effects on physical activity and academic performance. This study conducted in Uttarakhand investigates the frequency of smartphone addiction and its influence on academic performance in high school adolescents, with implications amplified by the COVID-19 pandemic’s increased smartphone reliance on education. Objectives: This research aims to (a) assess the prevalence of smartphone addiction, (b) correlate addiction levels with academic performance, and (c) scrutinize the influence of daily smartphone usage on scholastic outcomes. Materials and Methods: This cross-sectional observational study involved 331 students aged 12–17 in Dehradun, India. Data collection employed self-administered questionnaires comprising demographic parameters, the Smartphone Addiction Scale-Short Version, and self-reported academic results. Statistical analysis utilized nonparametric tests, the Chi-square test, Fisher’s exact test, and Spearman rank correlation. Statistical significance was set at a P < 0.05. Results: The mean age of the participants was 14.60 ± 1.2 years and an equitable gender distribution. Most attended Classes 8 and 9, with parents typically well-educated and employed. Notably, most students 224 (67.7%) borrowed smartphones rather than owning them 97 (29.3%). Daily smartphone usage averaged 2.27 ± 1.34 h, with video watching 97 (29.3%), music listening 91 (27.5%), and social media engagement 84 (25.4%) as common activities. Sixty-eight (20.5%) of students showed smartphone addiction, but this addiction did not significantly correlate with academic performance. Nevertheless, a negative correlation was observed between time spent on smartphones and academic marks (r = −0.198, P < 0.000), underscoring the importance of interventions to manage smartphone usage. Conclusions: Although many school-going adolescents exhibit some level of smartphone addiction, this study did not find a substantial correlation between smartphone addiction and academic achievement. However, it emphasized the significance of addressing and moderating the time spent on smartphones to optimize academic outcomes.

An Integrative Review of Interventions for Preventing Internet and Smartphone Addiction in Elementary School Students: Based on the IMB Model

Background: This study analyzes and evaluates the effectiveness of various interventions designed to prevent internet and smartphone addiction among elementary school students based on the Information-Motivation-Behavioral Skills (IMB) model.Methods: An integrative literature review examined studies published in the last ten years that focus on preventive interventions for internet and smartphone addiction among elementary school students. The selected studies were analyzed using the IMB model, which includes information, motivation, and behavioral skills as key components.Results: The analysis identified several critical components of effective prevention programs: providing relevant information, enhancing interpersonal relationships, emotional management, self-control, and impulse control skills. Effective programs often included group interventions, visual aids, play activities, and parental involvement.Conclusions: The findings suggest that balanced integration of information, motivation, and behavioral skills is essential for developing effective prevention programs for internet and smartphone addiction among elementary school students. The study provides a foundation for future research and the development of comprehensive prevention programs tailored to the unique characteristics of this age group.

Smartphone use and social media addiction in undergraduate students

Background Children’s use of social media has increased significantly over the past decade. As a result, they are susceptible to smartphone addiction. In particular, parents' and children's well-being and behaviors are negatively affected by smartphone addiction. Such addiction likely affects both physical performance and lifestyle. Adolescents utilize their smartphones while performing other tasks. The secondary task might divert attention away from the primary task. Reaction time is the combination of brain processing and muscular movement. Texting or communicating on a smartphone while performing another task may affect reaction time. Thus, the purpose of this study was to explore the influence of smartphone use on reaction time in undergraduate students who were addicted to smartphones. Methods The Smartphone Addiction Scale-Short Version (SAS-SV) was used to assign 64 undergraduate students to the smartphone addiction group (n = 32) and the control group (n = 32). The reaction time (RT) of an organism is used to determine how rapidly it responds to stimuli. All participants were examined on the RT test under three conditions: no smartphone use (control), texting, and chatting on a smartphone. Participants were questioned by smartphone through text message or chat with the support of a researcher during the texting and conversation conditions. While responding to the questions, the participant was administered an RT test. Results The results showed that smartphone addiction tends to have a reduced influence on reaction time when compared to the control group. Also, texting or conversing on a smartphone while doing other work had a substantial impact on reaction time in the undergraduates. Conclusions Combining smartphone use with other activities tends to reduce undergraduate students' reaction time.

The moderated mediating effect of parental smartphone addiction in the relationship between smartphone addiction, sleep duration, and depression among adolescents

Purpose: This study aimed to examine whether sleep duration mediated the relationship between adolescent smartphone addiction and depression. Moreover, we investigated whether the mediating effects of sleep duration were moderated by parental smartphone addiction. Methods: Wave 4(2021) data collected in 2021 from the Korean Children and Youth Panel Survey (KCYPS) 2018 was used. The data collected from 4,392 matched pairs of parents and their children was analyzed, using the SPSS PROCESS macro. Results: Sleep duration partially mediated the relationship between adolescent smartphone addiction and depression. Also, parental smartphone addiction moderated the indirect effect of this mediation model. Conclusion: This suggests that it is necessary to include content on the use of smartphones by adolescents as well as their parents when designing education and intervention programs to prevent depression in adolescents.

Assessing the Impact of Smartphone Addiction among medical and health faculty students at university of Kirkuk

Background: Modern smartphones have become an integral part of daily life, particularly among medical students who experience significant academic pressure and stress This study aimed to assess the extent of students' impact from smartphone addiction and investigate its association with their demographic characteristics, socio-economic status, and associated risk factors. Methods: A descriptive cross-sectional study design was used in this study. 772 students from all stages of study in the medical faculties of Kirkuk University. using Smartphone Addiction Scale (SAS), Nordic questionnaires for the analysis of musculoskeletal symptoms, and the severity of digital vision syndrome (DES) was measured using 12 items, The Data was analyzed through Statistical Package for Social Sciences (SPSS) 22. Results: The result of the current study shows that 55.1% were female and the male were 347 (44.9%). the average age of the students was 21.09 ± 1.75. 46.80% of the sample were overweight and obese. around 343(44.4%) sampled are assigned intermittent sleep. while significant relationships are obtained with each of Socio-Economic Status, specialization, using Smartphone in 24hrs, sleeping hours during a day in at least at P<0.05. an overall through global mean of score for the studied domains was assessed in compact form a moderate level, with percentile ranged responses from 5.65 to 80.61 for the studied sample. Conclusion: Our study substantiated that health and medical students are progressing into a state of addiction. no significant difference between males and females when considering of smartphone addiction. The age group most affected was individuals aged 22-23. while the Individuals with moderate to high SES are more susceptibility to addiction. Smartphone use should be limited. To increase awareness and knowledge about the detrimental impacts of smartphone addiction, workshops, courses, and conferences should be held.

Exploring the Relationships among Mobile Phone Addiction, Academic Procrastination, and Academic Performance in Nursing Education

Exploring the Relationships among Mobile Phone Addiction, Academic Procrastination, and Academic Performance in Nursing Education

Determinants of Phubbing Behaviour Among Youth: A Systematic Literature Review

With the rapid development of smartphones in the market, “phubbing” which is an act of ignoring others because of a deepened focus on such electronic devices rather than establishing conversations has become more pertinent. The phenomenon of phubbing among youth is a result of their desire for up-to-date information or news particularly during their studies. The present average daily smartphone usage ranges from two to ten hours among youth. Smartphones have enabled people to communicate with others from literally anywhere and anytime. However, there is growing concern that smartphones may reduce social connections rather than enhance them. This article examined the determinants of phubbing among youth and explains the determinants that link to phubbing. In this study, a systematic review was used as a research method. This article examined and compiled data from 15 research works databases namely Scopus and Google Scholar on the topic of how the impact of mobile phone addiction and depression among youth are related to phubbing. Based on the thematic analysis conducted, this review produced four themes namely: 1) smartphone addiction; 2) internet addiction; 3) fear of missing out (FOMO); and 4) Nomophobia. The findings explained that the average early identification of the consequences helps to improve the psychological well-being of the youth on how to improve relationships among others when having a conversation, being present and actively listening, being a model of healthier behaviour, and being understanding towards each other. The present findings suggest that phubbing is an important factor in modern communications that warrants further investigation. Keywords: FOMO, internet, nomophobia, phubbing, systematic literature review.

“I Flip, Therefore I Am”: Smartphone Detoxing as a Practice of Sovereignty

Abstract This article theorizes smartphone detoxing as a practice of sovereignty. The article begins by arguing that the smartphone enables the exercise of psychopolitical control, a new mode of neoliberal governmentality under which individuals are governed through the algorithmic modification of behavior. Against this background, smartphone detoxing can be seen as a practice of sovereignty in the sense that it aims to recover the subject's autonomy and rationality—qualities that are lost as humans become smartphone addicts. Ironically, however, smartphone detoxing is also a neoliberal practice in the sense that it plays on an ethos of self-care and cultivates market-oriented notions of freedom. As such, the article contends that the detoxing subject is a post-smartphone subject that performs political subjectivity by negotiating the tension between sovereignty and neoliberalism. To explore how smartphone detoxing performs political subjectivity in practice, the article analyses the testimonies of four influencers who share their detoxing journeys on YouTube. The analysis finds that detoxers recover sovereignty by rediscovering the Self, reconnecting with Others, and reclaiming time, and that they—through these very practices—also strive for the neoliberal virtues of wellness, authenticity and productivity.

The Impact of Smartphone Addiction on School Adjustment in Children at Community Child Centers: The Mediating Effect of Academic Enthusiasm

The Impact of Smartphone Addiction on School Adjustment in Children at Community Child Centers: The Mediating Effect of Academic Enthusiasm

Smart Phone Addiction: Enhanced or Diminished Meta Cognitive Skill in Pupil Teacher

Technology is now days as important as other daily routine in life. When technology comes in existence it is used in supportive way but now, we depend on technology. Technology uses start with computer then landline after that cell phones and now smartphone. Smartphone addiction, a modern behavioral disorder, is characterized by compulsive overuse of mobile devices and measured by frequency of access or total screen time. While smartphones can enhance teaching and learning in higher education, their excessive use poses significant risks to students' mental health and academic performance. The constant urge to check devices can lead to reduced concentration, impaired memory, and diminished critical thinking skills. As smartphones become increasingly integrated into student life, educational institutions face the challenge of balancing their benefits with the need to promote healthy usage habits and protect students' well-being. Therefore, researcher want to know is pupil teacher also have smartphone addiction. If yes then how smartphone addiction effect on their meta-cognitive skill which is about their skill related to teaching. The research methodology for this study is descriptive (survey). Sampling technique simple random sampling and sample size is 400. In this study the result found that significant impact of smartphone addiction on the metacognitive skills of pupil teachers. So smartphone addiction degraded our cognition in some manner.