Association between smartphone addiction and myofascial trigger points.

BACKGROUND: The purpose of this study was to clarify the relationship between smartphone addiction and miyafascial trigger points in university students. METHODS: A cross-sectional study of university students was conducted for the purpose of this study. The participants were assessed based on age, gender, dominant side, the amount of time they spent on their smartphones, the purpose of their use, and their posture. The Smartphone Addiction Scale Short Form (SAS-SF) was used to determine addictes and non-addicts. The cut-off value of SAS-SF is 31 and above for male and 33 and above for female. RESULTS: There were 136 participants in the study. The posture score for addicts and non-addicts ones was not significantly different (p > 0,05), but the number of trigger points, maximal bending posture and trigger points in the right levator scapula and right cervical erector muscles were significantly higher in the smartphone addict participants (p < 0,05). CONCLUSIONS: Smartphone addiction in university students is associated with postural changes and trigger points in the bilateral levator scapula and right cervical erector muscles. Public health programs should be developed to raise awareness about smartphone addiction, encourage screen breaks, and emphasize physical activity and exercise regularly.

The influence of physical activity on internet addiction among Chinese college students: the mediating role of self-esteem and the moderating role of gender.

OBJECTIVES: The significance of self-esteem in the relationship between physical activity and Internet addiction among college students cannot be over, as it lays a solid foundation for the prevention and control of Internet addiction. METHODS: A total of 950 college students were surveyed using the Physical Activity Rating Scale (PARS-3), Rosenberg Self-Esteem Scale (SES), and Chinese Internet Addiction Scale (CIAS-R) through a cluster random sampling method. Descriptive statistics, independent sample t-test, partial correlation analysis, mediation effect, moderation effect, and Bootstrap testing were conducted on the collected data to analyze and interpret the results. RESULTS: (1) Significant gender differences were found in the amount of physical activity and the degree of Internet addiction among college students(P&& lt;0.001); (2) Physical activity was significantly and positively correlated with self-esteem (r = 0.26, P < 0.001), but significantly and negatively correlated with Internet addiction (r=-0.23, P < 0.001); Meanwhile, self-esteem and Internet addiction were significantly and negatively related to self-esteem (r=-0.22, P < 0.001). (3) Mediating effect analyses showed that self-esteem played a partial mediating role in physical activity and Internet addiction among college students, accounting for a portion of 78.95%. (4) A moderating effect of gender on the relationship between physical activity and Internet addiction was discovered. CONCLUSION: The physical activity level of male students is significantly higher than that of female students, while the degree of internet addiction among female students is notably higher than that of male students. Physical activity can not only directly improve the issue of internet addiction among college students, but also indirectly improve it through self-esteem, with gender playing a moderating role in this process. This conclusion has practical reference significance for preventing and controlling internet addiction among college students, and provides evidence support for using physical activity as a reference solution in clinical applications. Additionally, it suggests that gender should be taken into account when preventing and intervening in internet addiction among college students, and different strategies and methods should be adopted for male and female students. Male students should be encouraged to participate more in physical activities, gradually increasing the frequency, duration, and intensity of their participation, in order to divert their attention and enhance their sense of achievement in sports, thereby reducing their use of mobile phones. For female students, on the other hand, it is important to strengthen real-life communication, change the form of sports participation, engage in group, collaborative, and different situational sports activities, and enhance their focus and attention in sports, in order to reduce their internet dependency, better guide them to use the internet reasonably, and enable them to achieve emotional release through sports.

Depression, stress, and anxiety versus internet addiction in early and middle adolescent groups: the mediating roles of family and school environments.

BACKGROUND: Family and school environment play a crucial role across the different developmental stages of adolescence. This paper investigates the potential mediating role of family and school environments in the relationship between the three psychosocial predictors of depression, anxiety, stress, and Internet addiction (IA). Specifically, it focuses on the two stages of early and middle adolescence. METHODS: The study involved a survey of 407 adolescents from Qatar, comprising 250 early adolescents and 157 middle adolescents. Inclusion criteria for the study included adolescents between the ages of 10 to 17 years old, residents of Qatar and studying in a Qatar-based school. To assess the constructs of the three psychosocial predictors, IA, family environment, the study utilized the Depression, Stress, and Anxiety Scale (DASS), the Internet Addiction Diagnostic Questionnaire (IADQ), and the Brief Family Relationship Scale, respectively. School environment was measured using questions from the "Health Behavior in School-aged Children: WHO Collaborative Cross-National survey/study (HBSC) 2013-2014. The study applied standard mediation analysis between the DASS components and IA with family and school environment as the mediators. RESULTS: Results from the mediation analysis reveal insights into the relationships between psychosocial predictors and IA. The findings indicate that family and school environments partially mediated the relationship with regards to depression, stress, and anxiety in early adolescents. In middle adolescents, family environment partially mediated the relationship with depression and stress and fully mediating the relationship with anxiety. Meanwhile, school environment only exhibited partial mediation in the relationship with anxiety in middle adolescence. CONCLUSIONS: These results highlight the crucial role parents and schools play in addressing problematic technology usage that develops as a response to depression, anxiety, and stress among adolescents. Moreover, the study reveals nuances in the mediating role of family and school environment in early and middle adolescence. This highlights the evolving nature of these influences across the different stages of development. Notably, this study contributes to the literature by moving beyond the conventional focus on the so-called WEIRD population, and offering valuable insights from a region that is underrepresented in current research.

Correlation of negative emotion, fatigue level and internet addiction in college students: implication for coping strategies.

BACKGROUND: Internet addiction has an important influence on the development of physical and mental health of college students. The purpose of this study is to evaluate the current status and the correlation between college students' negative emotion, fatigue level and Internet addiction disorder, and to provide reference for the care and management of college students. METHODS: We conducted a questionnaire survey on a cluster sample of college students from October to November 15, 2022. Internet addiction scale, fatigue assessment scale and positive and negative emotion scale were used for survey. Pearson correlation analysis and mediating effect test were performed to analyze the correlation and effects. RESULTS: A total of 1546 valid questionnaires were collected. The incidence of internet addiction in college student was 20.38%. The total score of internet addiction was 52.94 ± 12.47, the total fatigue score was 69.27 ± 3.19, the score of positive emotion of college students was 31. 41 ± 5.09, and the negative emotion score was 18.54 ± 5.68. The total score of internet addiction were positively correlated with score of negative emotion (all P < 0. 05). The total score of internet addiction scale of college students were positively correlated and each factor score of with the score of fatigue severity (all P < 0. 05). Fatigue played an intermediary role in the prediction of negative emotion and internet addiction of college students, with an intermediary role of-0.433, accounting for 76.35% of the total effect. CONCLUSION: The college students' positive emotion may be strengthened to reduce their fatigue level and negative emotion so as to reduce internet addiction.

Social media addiction: associations with attachment style, mental distress, and personality.

BACKGROUND: Social media bring not only benefits but also downsides, such as addictive behavior. While an ambivalent closed insecure attachment style has been prominently linked with internet and smartphone addiction, a similar analysis for social media addiction is still pending. This study aims to explore social media addiction, focusing on variations in attachment style, mental distress, and personality between students with and without problematic social media use. Additionally, it investigates whether a specific attachment style is connected to social media addiction. METHODS: Data were collected from 571 college students (mean age = 23.61, SD = 5.00, 65.5% female; response rate = 20.06%) via an online survey administered to all enrolled students of Sigmund Freud PrivatUniversity Vienna. The Bergen Social Media Addiction Scale (BSMAS) differentiated between students addicted and not addicted to social media. Attachment style was gauged using the Bielefeld Partnership Expectations Questionnaire (BFPE), mental distress by the Brief Symptom Inventory (BSI-18), and personality by the Big Five Inventory (BFI-10). RESULTS: Of the total sample, 22.7% of students were identified as addicted to social media. For personality, it was demonstrated that socially media addicted (SMA) students reported significantly higher values on the neuroticism dimension compared to not socially media addicted (NSMA) students. SMA also scored higher across all mental health dimensions-depressiveness, anxiety, and somatization. SMA more frequently exhibited an insecure attachment style than NSMA, specifically, an ambivalent closed attachment style. A two-step cluster analysis validated the initial findings, uncovering three clusters: (1) secure attachment, primarily linked with fewer occurrences of social media addiction and a lower incidence of mental health problems; (2) ambivalent closed attachment, generally associated with a higher rate of social media addiction and increased levels of mental health problems; and (3) ambivalent clingy attachment, manifesting a medium prevalence of social media addiction and a relatively equitable mental health profile. CONCLUSIONS: The outcomes are aligned with previous research on internet and smartphone addiction, pointing out the relevance of an ambivalent closed attachment style in all three contexts. Therapeutic interventions for social media addiction should be developed and implemented considering these findings.

Antecedents of social media addiction in high and low relational mobility societies: Motivation to expand social network and fear of reputational damage.

Contrary to previous studies on the antecedent factors of social media addiction, we focused on the social environmental factor of relational mobility (i.e., the ease of constructing new interpersonal relationships) and investigated its relationship with social media addiction. People in low relational mobility societies have fewer opportunities to select new relationship partners and consequently feel a stronger need to maintain their reputation. We hypothesized that (1) people in low relational mobility societies are more strongly addicted to social media because they estimate that greater reputational damage will be caused by ignoring messages and (2) people in low relational mobility societies estimate greater reputational damage than actual damage. We conducted two online experiments with 715 and 1,826 participants. Our results demonstrated that (1) there is no relationship between relational mobility and social media addiction and (2) people in both high and low relational mobility societies overestimate reputational damage. Furthermore, we demonstrated that the social media addiction mechanism differs between societies: (3) people in low relational mobility societies estimate greater reputational damage, whereas (4) people in high relational mobility societies are more motivated to expand their social networks; both mechanisms strengthen their social media addiction. Based on these results, we propose interventions for moderating social media addiction in both high and low relational mobility societies.

Social media addiction and academic engagement as serial mediators between social anxiety and academic performance among college students.

BACKGROUND: Social anxiety has been shown to affect college students' academic performance. However, the role of social media addiction and academic engagement in this association is unclear. METHODS: A total 2661 college students completed a self-report questionnaire including Liebowitz Social Anxiety Scale, the Bergen Social Media Addiction Scale, the Utrecht Student Work Engagement Scale for Students, and the grade point average. Hayes' PROCESS macro for SPSS was employed to test the serial mediation effect. RESULTS: Results indicated that social anxiety was negatively related to academic performance, only academic engagement played a single mediating role in the relationship between social anxiety and academic performance, meanwhile social media addiction and academic engagement acted as serial mediators between social anxiety on academic performance. CONCLUSIONS: Social media addiction and academic engagement can explain the potential mechanisms of the association between social anxiety and academic performance, which have implications for devising intervention strategies to enhance the mental health and academic outcomes of college students.

Internet addiction, new contemporary reality in Benin: exploratory analysis of associated factors among medical and paramedical students in 2022 / L'addiction à internet, une réalité contemporaine au Bénin : analyse exploratoire des facteurs associés chez des étudiants du secteur médical et paramédical en 2022.

INTRODUCTION: Nowadays, Internet addiction is a major concern due to the growing number of Internet users and the consequences associated with this addiction. PURPOSE OF THE RESEARCH: In this study, we aimed to determine the prevalence of and factors associated with Internet addiction among health sciences students at the University of Abomey-Calavi. METHODS: A cross-sectional study was conducted among 346 students from the Faculty of Health Sciences and the National Institute of Medical and Health Sciences at the University of Abomey-Calavi. Participants were selected using simple random sampling. Internet addiction was assessed using K. Young's "Internet Addiction Test." Logistic regression modeling was employed to explore factors associated with Internet addiction. The strength of the association was assessed using odds ratios; the confidence interval (CI) was 95%; and a p-value < 0.05 in the final model was considered significant. RESULTS: The prevalence of Internet addiction was 31.8% (95% CI: [23.26% - 41.38%]). Factors associated with Internet addiction were the participant's field of study, poor relationships with friends and family, communication difficulties, depression, and psychoactive substance consumption. CONCLUSIONS: Evidence of Internet addiction exists among students in health sciences institutions in Benin. These findings can support the development of prevention and intervention strategies centered on addressing a public health issue that is still insufficiently recognized.

Introduction: De nos jours, l'addiction à Internet est une préoccupation majeure en raison de l'évolution croissante du nombre d'internautes mais aussi de ses conséquences. But de l'étude: Dans cette étude, nous avons déterminé la prévalence et les facteurs associés à l'addiction à Internet chez les étudiants des sciences de la santé de l'Université d'Abomey-Calavi. Méthodes: Il s'agit d'une étude transversale menée auprès de 346 étudiants de la Faculté des sciences de la santé et de l'Institut national médico-sanitaire de l'Université d'Abomey-Calavi. Ces derniers ont été sélectionnés par échantillonnage aléatoire simple. L'addiction à Internet a été mesurée grâce à l'outil « Internet addiction test de Young ¼. Une modélisation par régression logistique a été utilisée pour explorer les facteurs associés à l'addiction à Internet. La force de l'association a été évaluée avec un rapport de cotes et son intervalle de confiance (IC) à 95 % ; une valeur p <0,05 dans le modèle final a été considérée comme significative. Résultats: La prévalence de l'addiction à Internet était de 31,8 % (IC95 % : [23,26 % - 41,38 %]). La filière d'études, les mauvaises relations avec les proches, les difficultés de communication, la dépression et la consommation de substances psychoactives étaient associées à l'addiction à Internet. Conclusions: Il existe des évidences qui montrent l'addiction à Internet des étudiants des institutions universitaires de santé au Benin. Ces évidences peuvent soutenir la mise en place de stratégies de prévention et de prise en charge axées sur la communication autour d'un phénomène encore insuffisamment perçu comme le problème de santé publique qu'il constitue.

Sex differences in prevalence and clinical correlates of internet addiction among Chinese adolescents with schizophrenia.

BACKGROUND: Patients with schizophrenia (SCZ) exhibit sex differences in various aspects, and patients with SCZ have a high prevalence of internet addiction (IA). However, sex differences in IA among patients with SCZ mostly remain unstudied, particularly in Chinese adolescent patients with SCZ. This study investigated sex differences in prevalence, risk factors, and clinical correlates of IA among Chinese adolescent patients with SCZ. METHODS: A total of 706 adolescent patients with SCZ were enrolled in this study using a cross-sectional design and a convenience sampling method. Demographics and clinical data of the patients were collected using a standardized clinical assessment form. The Positive and Negative Syndrome Scale (PANSS) and the Young's Internet Addiction Test were used to evaluate psychopathological symptoms and IA respectively. RESULTS: Overall, the prevalence of IA among Chinese adolescent patients with SCZ was 26.30% (95% CI: 23.09-29.60%). In Chinese adolescents with SCZ, there was a sex difference in the comorbidity of IA (males: 33.33% vs. females: 21.69%). Binary logistic regression analysis showed that IA was significantly predicted by good socioeconomic status in male and female patients with SCZ. City of living and PANSS total score were associated with IA in male patients with SCZ. In contrast, hospitalization rate and depression score were associated with IA in female patients with SCZ. CONCLUSION: Our study suggests sex differences in clinical correlates of IA in Chinese adolescent patients with SCZ. An additional longitudinal study is required to confirm the findings of the present study.

Status and Influencing Factors of Social Media Addiction in Chinese Workers: Cross-Sectional Survey Study.

BACKGROUND: Social media addiction (SMA) caused by excessive dependence on social media is becoming a global problem. At present, most of the SMA studies recruit college students as research participants, with very few studies involving workers and other age groups, especially in China. OBJECTIVE: This study aims to investigate the current status of SMA among Chinese workers and analyze its influencing factors. METHODS: From November 1, 2022, to January 30, 2023, we conducted an anonymous web-based questionnaire survey in mainland China, and a total of 5176 participants completed the questionnaire. The questionnaire included the Social Networking Service Addiction Scale, Maslach Burnout Inventory-General Survey scale, Mindful Attention Awareness Scale, as well as questionnaires regarding participants' social media use habits and demographic information. RESULTS: Through strict screening, 3468 valid questionnaires were included in this study. The main findings of this study revealed the following: the average SMA score of workers was higher (mean 53.19, SD 12.04), and some of them (393/3468, 11.33%) relied heavily on social media; there were statistically significant differences in SMA scores among workers in different industries (F14,3453=3.98; P<.001); single workers (t3106=8.6; P<.001) and workers in a relationship (t2749=5.67; P<.001) had higher SMA scores than married workers, but some married workers (214/3468, 6.17%) were highly dependent on social media; the level of SMA among female workers was higher than that of male workers (t3466=3.65; P<.001), and the SMA score of workers negatively correlated with age (r=-0.22; P<.001) and positively correlated with education level (r=0.12; P<.001); the frequency of using social media for entertainment during work (r=0.33; P<.001) and the frequency of staying up late using social media (r=0.14; P<.001) were positively correlated with the level of SMA in workers; and the level of SMA in workers was significantly positively correlated with their level of burnout (r=0.35; P<.001), whereas it was significantly negatively correlated with their level of mindfulness (r=-0.55; P<.001). CONCLUSIONS: The results of this study suggest that SMA among Chinese workers is relatively serious and that the SMA problem among workers requires more attention from society and academia. In particular, female workers, young workers, unmarried workers, highly educated workers, workers with bad social media habits, workers with high levels of job burnout, and workers with low levels of mindfulness were highly dependent on social media. In addition, occupation is an important influencing factor in SMA. Thus, the government should strengthen the supervision of social media companies. Medical institutions should provide health education on SMA and offer intervention programs for those addicted to social media. Workers should cultivate healthy habits while using social media.

Internet addiction and health-related quality of life in adolescents: The mediating role of sleep disturbance.

BACKGROUND: Internet addiction (IA) has emerged as a recognized risk factor associated with impaired health-related quality of life (HRQOL) in adolescents. However, the role of sleep disturbance in this association remains unclear. This study aimed to investigate the association of IA with HRQOL in Chinese adolescents and to evaluate the potential mediating role of sleep disturbance. METHODS: A cross-sectional study was conducted among adolescents attending six randomly selected middle schools in Guangzhou, China. Adolescents self-reported their internet use using the Young Diagnostic Questionnaire. HRQOL and sleep disturbance were assessed by the Pediatric Quality of Life Inventory version 4.0 and the Pittsburgh Sleep Quality Index, respectively. Multivariate linear regression analysis was employed to assess the association between IA and HRQOL. Baron and Kenny's causal steps method was used to examine the possible mediating role of sleep disturbance. RESULTS: Of the 6473 adolescents included, 23.5% had maladaptive internet use (MIU) and 16.6% had pathological internet use (PIU). Compared to adolescents with adaptive internet use (AIU), those with IA had significantly lower scores across all HRQOL dimensions and summary scales. Mediation analysis revealed that sleep disturbance was a significant mediator. Specifically, sleep disturbance mediated 34.55% of the effects of MIU and 34.06% of the effects of PIU on the HRQOL total scale score , respectively. CONCLUSIONS: IA was associated with poorer HRQOL, indicating the needs of preventing IA in Chinese adolescents. Additionally, our findings underscored the importance of enhancing sleep quality to mitigate the adverse impact of IA on adolescents' well-being.

Impaired social reward processing in individuals with Internet gaming disorder and its relationship with early face perception.

Previous research has found that individuals with Internet gaming disorder (IGD) show different patterns of social function impairments in game-related and real-life social contexts. Impaired social reward processing may be the underlying mechanism according to the Social Motivation Theory. Thus, in this study, event-related potentials were recorded from 24 individuals with IGD and 24 healthy gamers during a social judgement task. We focused on reward positivity (RewP) elicited by game-related and real-life social rewards, and N170 elicited by game avatar faces and real faces. These indicators were used to explore the neurocognitive mechanism of impaired social reward processing in individuals with IGD and its relationship with early face perception. Results showed that (1) the RewP elicited by real-life social reward was considerably reduced in individuals with IGD relative to healthy gamers. (2) The N170 elicited by game avatar faces in individuals with IGD was larger than that elicited by real faces. However, the N170 was not associated with RewP in either group. (3) The score for IGD severity was correlated with the RewP elicited by real-life social reward and the N170 elicited by game avatar face. In conclusion, the present study suggests that the impaired social reward processing in individuals with IGD is mainly manifested in a decreased neural sensitivity to real-life social reward. Meanwhile, the reduced RewP elicited by real-life social reward and the enhanced N170 elicited by game avatar face might serve as potential biomarkers for IGD.

Mathematical modelling, analysis and numerical simulation of social media addiction and depression.

We formulate a mathematical model of social media addiction and depression (SMAD) in this study. Key aspects, such as social media addiction and depression disease-free equilibrium point (SMADDFEP), social media addiction and depression endemic equilibrium point (SMADEEP), and basic reproduction number (R0), have been analyzed qualitatively. The results indicate that if R0 < 1, the SMADDFEP is locally asymptotically stable. The global asymptotic stability of the SMADDFEP has been established using the Castillo-Chavez theorem. On the other hand, if R0 > 1, the unique endemic equilibrium point (SMADEEP) is locally asymptotically stable by Lyapunov theorem, and the model exhibits a forward bifurcation at R0 = 1 according to the Center Manifold theorem. To examine the model's sensitivity, we calculated the normalized forward sensitivity index and conducted a Partial Rank Correlation Coefficient (PRCC) analysis to describe the influence of parameters on the SMAD. The numerical results obtained using the Fourth-order Runge-Kutta (RK-4) scheme show that increasing the number of addicted individuals leads to an increase in the number of depressed individuals.

Relationship between loneliness and internet addiction: a meta-analysis.

BACKGROUND: In the digital age, the Internet has become integrated into all aspects of people's work, study, entertainment, and other activities, leading to a dramatic increase in the frequency of Internet use. However, excessive Internet use has negative effects on the body, psychology, and many other aspects. This study aims to systematically analyze the research findings on the relationship between loneliness and Internet addiction to obtain a more objective, comprehensive effect size. METHODS: This study employed a comprehensive meta-analysis of empirical research conducted over the past two decades to investigate the relationship between loneliness and Internet addiction, with a focus on the moderating variables influencing this relationship. This meta-analysis adopted a unique approach by categorizing moderating variables into two distinct groups: the objective characteristics of research subjects and the subjective characteristics of researchers. It sheds light on the multifaceted factors that influence the relationship between loneliness and Internet addiction. RESULTS: A literature search in web of science yielded 32 independent effect sizes involving 35,623 subjects. Heterogeneity testing indicated that a random effects model was appropriate. A funnel plot and Begg and Mazumdar's rank correlation test revealed no publication bias in this meta-analysis. Following the effect size test, it was evident that loneliness was significantly and positively correlated with Internet addiction (r = 0.291, p < 0.001). The moderating effect analysis showed that objective characteristics significantly affected the relationship. However, subjective characteristics did not affect the relationship. CONCLUSIONS: The study revealed a moderately positive correlation between loneliness and Internet addiction. Moreover, this correlation's strength was found to be influenced by various factors, including gender, age, grade, and the region of the subjects. However, it was not affected by variables such as the measurement tool, research design, or research year (whether before or after COVID-19).

The mediating effect of social network identity management on the relationship between personality traits and social media addiction among pre-service teachers.

BACKGROUND: The use of social media has become an important part individuals' daily lives and is used in many daily life activities, such as social interaction, education, and shopping. However, with the increase in the use of social media, a minority of individuals can experience problematic use (and in extreme cases, 'social media addiction'). The purpose of the present study was to examine the effect of personality traits on social media addiction and the mediating role of social network identity management in this relationship among preservice teachers. METHODS: The data were collected from 275 pre-service teachers at a university in Türkiye. The survey included the Big Five Inventory-10 (BFI-10), the Social Network Identity Management Scale, the Bergen Social Media Addiction Scale, and a personal information form. RESULTS: The findings of the study indicated that there was a relationship between personality traits, social network identity management, and social media addiction. Specifically, neuroticism was positively associated with social media addiction, whereas extraversion, agreeableness and conscientiousness were negatively associated. The results also indicated that social network identity management mediated the effect of personality traits on social media addiction. CONCLUSION: Given that the present investigation was only a preliminary study, further research is needed to examine whether social network identity management is an important determinant in understanding the relationship between personality traits and social media addiction.

Relationships between internet addiction, smartphone addiction, sleep quality, and academic performance among high-school students.

OBJECTIVE: In this study, we aimed to evaluate the relationships between Internet addiction, smartphone addiction, sleep quality, and academic success. METHODS: In this cross-sectional study, high-school students were surveyed to evaluate sleep quality, Internet addiction, and smartphone addiction. Students were queried about their demographics, and grade averages from the previous term were taken as an indicator of academic success. RESULTS: A total of 1,959 students were enrolled in this study, with 1,034 (52.8%) girls and 925 (47.2%) boys, and the median age of the participants was 16 (13-21) years. Multivariate analyses found that poor sleep quality in students who did not have breakfast before going to school was 1.58 times higher than those who did (p<0.001). Students who stayed in a dormitory had 1.79 times more poor sleep quality than those who stayed with their family, and a one-unit increase in the total score of the Young's Internet Addiction Test short form resulted in a 1.08-fold increase (both, p<0.001). CONCLUSION: Our study has shown that students' sleep quality was predicted to be lower if they stayed in a dormitory and skipped breakfast. In addition, Internet and smartphone addictions have a negative effect on sleep quality and academic performance.

Evaluation of the Relationship of Internet Addiction with Academic Success and Grit.

The present study aimed to evaluate the effect of internet addiction, an ever-increasing phenomenon, on success and grit in academics. This descriptive cross-sectional study was completed by reaching participants on social media platforms, using socio-demographic information, grade point averages (GPA), internet addiction scale, and the academic grit scale. No difference was found between the median scores of GPA, the academic grit scale, and the internet addiction scale according to the field of study (p-values = 0.360, 0.539, and 0.170, respectively). There was a difference between the median scores of the academic grit scale according to gender (p=0.025). There was also a statistically significant positive and very weak relationship between the grade point average and the academic grit scale (r=0. 096 and p=0.041). Therefore, when there is a desire to increase academic success and academic grit, different methods should be considered rather than increasing internet use and thus addiction. Key Words: Academic success, Grit, Internet, Internet addiction.

Internet addiction and its relationship with food choice motives and the risk of eating disorders among young adults in Malaysia.

The COVID-19 lockdown measures have dramatically altered the daily routines of young adults. Therefore, this study aims to elucidate the relationships between internet addiction, food choice motives and the risk of eating disorders in young adults during the transition to the endemic phase of COVID-19. The Internet Addiction Test was utilised to evaluate the presence and severity of internet addiction among young adults. The Food Choice Questionnaire was employed to assess the food choice motives of young adults, while the risk of eating disorders was determined using the Eating Attitude Test-26. The relationships between internet addiction, food choice motives, and the risk of eating disorders were assessed using model 4 of the PROCESS macro for SPSS. The findings indicated that 29.0% of young adults experienced moderate-to-severe internet addiction, whereas 32.6% were at risk of eating disorders. Young adults were highly valued for the price, sensory appeal, and mood when deciding food choices. The relationship between internet addiction and the risk of eating disorders was partially mediated by convenience (b = - 0.211, SE = 0.140, - 0.548 to - 0.016) and familiarity (b = 0.219, SE = 0.122, 0.019 to 0.494). A significant direct effect was also observed between internet addiction and the risk of eating disorders (B = 0.793, p = 0.017). There is an urgent need to implement intervention strategies aimed at reducing problematic internet use, promoting healthier food choices, and fostering healthy eating habits among young adults.

Trait anxiety and corresponding neuromarkers predict internet addiction: A longitudinal study.

Background and Aims: The high prevalence of internet addiction (IA) has become a worldwide problem that profoundly affects people's mental health and executive function. Empirical studies have suggested trait anxiety (TA) as one of the most robust predictors of addictive behaviors. The present study investigated the neural and socio-psychological mechanisms underlying the association between TA and IA. Methods: Firstly, we tested the correlation between TA and IA. Then we investigated the longitudinal influence of TA on IA using a linear mixed effect (LME) model. Secondly, connectome-based predictive modeling (CPM) was employed to explore neuromarkers of TA, and we tested whether the identified neuromarkers of TA can predict IA. Lastly, stressful life events and default mode network (DMN) were considered as mediating variables to explore the relationship between TA and IA. Findings: A significant positive correlation between TA and IA was found and the high TA group demonstrated higher IA across time. CPM results revealed that the functional connectivity of cognitive control and emotion-regulation circuits and DMN were significantly correlated with TA. Furthermore, a significant association was found between the neuromarkers of TA and IA. Notably, the CPM results were all validated in an independent sample. The results of mediation demonstrated that stressful life events and correlated functional connectivity mediated the association between TA and IA. Conclusions: Findings of the present study facilitate a deeper understanding of the neural and socio-psychological mechanisms linking TA and IA and provide new directions for developing neural and psychological interventions.

Neural correlates of model-based behavior in internet gaming disorder and alcohol use disorder.

Background: An imbalance between model-based and model-free decision-making systems is a common feature in addictive disorders. However, little is known about whether similar decision-making deficits appear in internet gaming disorder (IGD). This study compared neurocognitive features associated with model-based and model-free systems in IGD and alcohol use disorder (AUD). Method: Participants diagnosed with IGD (n = 22) and AUD (n = 22), and healthy controls (n = 30) performed the two-stage task inside the functional magnetic resonance imaging (fMRI) scanner. We used computational modeling and hierarchical Bayesian analysis to provide a mechanistic account of their choice behavior. Then, we performed a model-based fMRI analysis and functional connectivity analysis to identify neural correlates of the decision-making processes in each group. Results: The computational modeling results showed similar levels of model-based behavior in the IGD and AUD groups. However, we observed distinct neural correlates of the model-based reward prediction error (RPE) between the two groups. The IGD group exhibited insula-specific activation associated with model-based RPE, while the AUD group showed prefrontal activation, particularly in the orbitofrontal cortex and superior frontal gyrus. Furthermore, individuals with IGD demonstrated hyper-connectivity between the insula and brain regions in the salience network in the context of model-based RPE. Discussion and Conclusions: The findings suggest potential differences in the neurobiological mechanisms underlying model-based behavior in IGD and AUD, albeit shared cognitive features observed in computational modeling analysis. As the first neuroimaging study to compare IGD and AUD in terms of the model-based system, this study provides novel insights into distinct decision-making processes in IGD.