Identifying clinical risk factors correlated with addictive features of non-suicidal self-injury among a consecutive psychiatric outpatient sample of adolescents and young adults.

Non-suicidal self-injury (NSSI) is an issue primarily of concern in adolescents and young adults. Recent literature suggests that persistent, repetitive, and uncontrollable NSSI can be conceptualized as a behavioral addiction. The study aimed to examine the prevalence of NSSI with addictive features and the association of this prevalence with demographic and clinical variables using a cross-sectional and case-control design. A total of 548 outpatients (12 to 22 years old) meeting the criteria for NSSI disorder of DSM-5 were enrolled and completed clinical interviews by 4 psychiatrists. NSSI with addictive features were determined by using a single-factor structure of addictive features items in the Ottawa self-injury inventory (OSI). Current suicidality, psychiatric diagnosis, the OSI, the revised Chinese Internet Addiction Scale, the Childhood Trauma Questionnaire, and the 20-item Toronto Alexithymia Scale were collected. Binary logistic regression analyses were used to explore associations between risk factors and NSSI with addictive features. This study was conducted from April 2021 to May 2022. The mean age of participants was 15.93 (SD = 2.56) years with 418 females (76.3%), and the prevalence of addictive NSSI was 57.5% (n = 315). Subjects with addictive NSSI had a higher lifetime prevalence of nicotine and alcohol use, a higher prevalence of current internet addiction, suicidality, and alexithymia, and were more likely to have physical abuse/neglect, emotional abuse, and sexual abuse than NSSI subjects without addictive features. Among participants with NSSI, the strongest predictors of addictive features of NSSI were female (OR = 2.405, 95% CI 1.512-3.824, p < 0.0001), alcohol use (OR = 2.179, 95% CI 1.378-3.446, p = 0.001), current suicidality (OR = 3.790, 95% CI 2.351-6.109, p < 0.0001), and psysical abuse in childhood (OR = 2.470, 95% CI 1.653-3.690, p < 0.0001). Nearly 3 out of 5 patients (12-22 years old) with NSSI met the criteria of NSSI with addictive features in this psychiatric outpatients sample. Our study demonstrated the importance of the necessity to regularly assess suicide risk, and alcohol use, as well as focus more on females and subjects who had physical abuse in childhood to prevent addictive NSSI.

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.

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.

The role of internet addiction and academic resilience in predicting the mental health of high school students in Tehran.

BACKGROUND: The World Health Organization defines mental health as a combination of two dimensions: the negative dimension, or negative mental health, which indicates the presence of mental disorders, symptoms, and problems, and the positive dimension, or positive mental health, which includes emotions and positive personal characteristics such as self-esteem, resilience against environmental challenges, a sense of integrity, and self-efficacy. The aim of the present study was to investigate the role of internet addiction and academic resilience in predicting the mental health of high school students in Tehran, Iran. METHOD: The research method employed was a survey. 758 people participated in the study, and the samples consisted of high school students in Tehran during the academic year 2022-2023. The process of collecting information was carried out by distributing the questionnaire link through virtual networks and schools. The research utilized Young's Internet Addiction Test, Samuels' Academic Resilience Inventory, and Goldberg's Mental Health Questionnaire as the research tools. Statistical tests, including Pearson's correlation and multiple regression analysis, were employed to investigate the relationships between variables. RESULT: The effect of internet addiction on mental health (ß=0.39) is negative and significant at the 0.001 level, while the effect of academic resilience on mental health (ß=0.66) is positive and significant at the 0.001 level. These two variables collectively predict 53% of the variance in students' mental health. This indicates that as internet addiction increases among students, their mental health significantly decreases, whereas higher levels of academic resilience correspond to higher mental health. CONCLUSIONS: This study has elucidated the role of internet addiction and academic resilience in predicting the mental health of high school students in Tehran. Given the significance of adolescent mental health, it is imperative for healthcare professionals and other stakeholders to develop intervention and prevention models to address mental health crises and plan for the enhancement of adolescent mental health.

The relationship between childhood psychological abuse and depression in college students: a moderated mediation model.

BACKGROUND: Childhood psychological abuse (CPA) are highly correlated with depression among college students, but the underlying mechanisms between variables need further exploration. This study aims to investigate internet addiction as a mediating factor and alexithymia as a moderating factor, in order to further elucidate the potential risk factors between CPA and depression among college students. METHODS: A self-report survey was conducted among 1196 college students from four universities in three provinces in China. The survey included measures of CPA, internet addiction, alexithymia, and depression. Descriptive and correlational analyses were performed on these variables, and a moderated mediation model was constructed. RESULTS: CPA was positively correlated with depression among college students, as well as internet addiction with alexithymia. Internet addiction partially mediated the relationship between CPA and depression among college students, while alexithymia strengthened the relationships among the paths in the moderated mediation model. CONCLUSION: This study provides further insights into the psychological mechanisms underlying the relationship between CPA and depression among college students. Internet addiction serves as a mediating factor in this relationship, while alexithymia may enhance the strength of the relationships among the three variables.

The effects of self-esteem and parental phubbing on adolescent internet addiction and the moderating role of the classroom environment: a hierarchical linear model analysis.

BACKGROUND: With the advent of the new media era, the understanding of adolescent internet addiction needs to be enriched. It is also necessary to distinguish the related factors of adolescent internet addiction at different levels to clarify the mechanisms of this phenomenon. METHODS: This study used hierarchical linear model analysis to explore the effects of student-level factors and school-level factors on adolescent internet addiction, along with cross-level moderating effects. A total of 1,912 students between the 4th and 8th grades in China participated in the study. Participants completed the Self-Esteem Scale, Parents Phubbing Scale, Classroom Environment Scale, and the Diagnostic Questionnaire of Internet Addiction. RESULTS: Correlational analyses revealed that internet addiction was found to be negatively correlated with both self-esteem and the teacher-student relationship (p < 0.01), while father phubbing, mother phubbing, and learning burden were shown to positively correlate with internet addiction (p < 0.01). Hierarchical linear model analysis suggested that student-level variables, including self-esteem, and mother phubbing, were significant predictors of internet addiction (ß = -0.077, p < 0.001 and ß = 0.028, p < 0.01, respectively). At the school level, learning burden significantly and negatively predicted internet addiction (ß = 0.073, p < 0.05). Furthermore, the relationship between self-esteem and internet addiction was significantly moderated by learning burden (ß = -0.007, p < 0.05). Meanwhile, the teacher-student relationship also had a significant moderating effect on the association between mother phubbing and internet addiction (ß = -0.005, p < 0.01). CONCLUSIONS: This study revealed the relationships between self-esteem, parental phubbing, and classroom environment with adolescent internet addiction, and these findings could provide insights into reducing adolescent internet addiction from the perspective of individuals, families, and schools.

The association between anxiety and internet addiction among left-behind secondary school students: the moderating effect of social support and family types.

BACKGROUND: The left-behind children (LBC), children and adolescents aged 0-18 whose parents have migrated for economic purposes for extended periods exceeding three months, present a unique social concern. These children remain in their place of household registration, often under the guardianship of relatives, while receiving compulsory education. LBC with growing Internet addiction (IA) have made it urgent to take a close look at the mechanisms and effective interventions for them. Anxiety has been proven to be correlated with IA in adolescents; however, the mechanisms of addiction in this population are less well-fully grasped. Based on the current theories and empirical results, the study examined whether and how social support (SS) and family types moderated the associations between anxiety and IA among left-behind secondary students. METHODS: Stratified cluster sampling survey. A questionnaire was administered to 5290 secondary school children (2553 classified as left-behind) to explore the relationships between anxiety, IA, left-behind types, family types, and social support. This cross-sectional study employed a stratified cluster sampling survey of students in the ethnic areas of southeast Chongqing. The study sought to appraise the relationships between anxiety and IA in different types of left-behind children and to assess the potential moderating effect of SS on the relationship among the population and its family types differences. RESULTS: The relationship between anxiety and IA was moderated significantly by social support and family types. Notably, the impact of social support on the moderating effect between IA and anxiety varied among students from both family types. For students from families where both parents had migrated, social support weakened the association between IA and anxiety. Conversely, for students from single-parent families where the parent had migrated, social support seemed to strengthen the relationships between these two issues. CONCLUSIONS: The moderating effects of SS on the relationship between anxiety and IA differs based on family type among various groups of left-behind secondary students. Gaining insights into the IA mechanisms can guide the development of targeted intervention strategies aimed at minimizing IA among diverse groups of left-behind students.

Examining the interplay between internet use disorder tendencies and well-being in relation to sofalizing during the COVID-19 pandemic.

AIMS: The present study investigated the potential links between Internet Use Disorder tendencies, well-being and the impact of COVID-19 on Internet usage patterns. METHOD: A sample of 2498 participants filled out the Compulsive Internet Use Scale (CIUS), the Satisfaction with Life Scale (SWLS; the cognitive facet of well-being) and the Sofalizing Scale which comprises the Online Displacement and Social Compensation dimensions. Participants were also asked to report the extent to which changes in Internet use occurred due to COVID-19 pandemic (i.e., reductions, no changes, increases). The present study comprised a survey study with cross-sectional character. RESULTS: The statistical analyses demonstrated that the aforementioned variables were robustly associated with each other. In a first mediation model, the association between higher levels of Internet Use Disorder and reduced well-being was partially mediated by the two dimensions of the Sofalizing scale called Online Displacement and Social Compensation. The results of the second mediation model showed that the relationship between changes in Internet use due to COVID-19 pandemic and well-being was fully mediated by CIUS scores, suggesting that increased Internet use due to the COVID-19 pandemic increased levels of Internet Use Disorder tendencies, which in turn decreased levels of well-being. DISCUSSION: The findings are discussed in the context of human social needs in a time of crisis, where meeting people in-person was restricted.

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.

A comprehensive measure assessing different types of problematic use of the internet among Chinese adolescents: The Assessment of Criteria for Specific Internet-use Disorders (ACSID-11).

BACKGROUND: Problematic use of the internet (PUI) is prevalent, particularly among adolescents and young adults. Given the limited measures to assess specific types of PUI, which encompasses a broad spectrum of activities such as online gaming, social media use, pornography use, shopping, gambling, and web-streaming, Muller et al. (2022) developed the Assessment of Criteria for Specific Internet-use Disorders (ACSID-11) to comprehensively assess different types of PUI (i.e., gaming, shopping, social media use, gambling, and pornography use). The present study aimed to validate the Chinese ACSID-11 among adolescents incorporating cross-cultural adaptations. METHODS: Using forward-backward translation method, a culturally adapted version of the ACSID-11 was prepared. Then, a cross-sectional online survey was administered between September 8 and September 26, 2023. Adolescents, using a convenience sample (N = 11,492; mean age = 16.42 years [SD ± 0.91]; 59.1% male), were recruited from six schools to complete the translated ACSID-11, Internet Gaming Disorder Scale-Short Form (IGDS9-SF), Bergen Social Media Addiction Scale (BSMAS), and Smartphone Application Based Addiction Scale (SABAS) via an online platform. Pearson correlation coefficients assessed convergent/discriminant validity. Factor structure and measurement invariance were examined through confirmatory factor analysis (CFA) and multi-group CFA. Cronbach's alpha and McDonald's omega tested internal consistency. RESULTS: Associations between the ACSID-11 components and other scales supported convergent validity (i.e., ACSID-11 gaming scale with IGDS9-SF [0.37 ≤ r ≤ 0.41]; social networks use scale with BSMAS [0.24 ≤ r ≤ 0.31]) and discriminant validity (i.e., online gambling scale with BSMAS [0.16 ≤ r ≤ 0.19] and with SABAS [0.11 ≤ r ≤ 0.13]). A four-factor solution indicated good fit with comparative fit index (CFI) ranging from 0.982 to 0.958. The ACSID-11 was measurement invariant across sexes (∆CFI = -0.001 to 0.000) and different levels of related addictive behaviors (∆CFI = -0.001 to 0.000). Both Cronbach's alpha and McDonald's omega (0.63 to 0.97) were acceptable for both frequency and intensity of responses. CONCLUSIONS: The ACSID-11 is an appropriate scale to assess different kinds of PUI among Chinese adolescents and students. Psychometric assessment of the measure in other cultures and among clinical samples is recommended.

White matter integrity of right frontostriatal circuit predicts internet addiction severity among internet gamers.

Excessive use of the internet, which is a typical scenario of self-control failure, could lead to potential consequences such as anxiety, depression, and diminished academic performance. However, the underlying neuropsychological mechanisms remain poorly understood. This study aims to investigate the structural basis of self-control and internet addiction. In a cohort of 96 internet gamers, we examined the relationships among grey matter volume and white matter integrity within the frontostriatal circuits and internet addiction severity, as well as self-control measures. The results showed a significant and negative correlation between dACC grey matter volume and internet addiction severity (p < 0.001), but not with self-control. Subsequent tractography from the dACC to the bilateral ventral striatum (VS) was conducted. The fractional anisotropy (FA) and radial diffusivity of dACC-right VS pathway was negatively (p = 0.011) and positively (p = 0.020) correlated with internet addiction severity, respectively, and the FA was also positively correlated with self-control (p = 0.036). These associations were not observed for the dACC-left VS pathway. Further mediation analysis demonstrated a significant complete mediation effect of self-control on the relationship between FA of the dACC-right VS pathway and internet addiction severity. Our findings suggest that the dACC-right VS pathway is a critical neural substrate for both internet addiction and self-control. Deficits in this pathway may lead to impaired self-regulation over internet usage, exacerbating the severity of internet addiction.

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).

Risks and protection: a qualitative study on the factors for internet addiction among elderly residents in Southwest China communities.

BACKGROUND: In the global trend of actively promoting the participation of older adults in the digital age, the relevant negative issues featuring potential Internet Addiction (IA) among them has risen to be a new challenge facing the global public health. However, there is a severe lack of related research. This study aimed to gain a comprehensive understanding of the phenomenon and process of IA among the elderly. The purpose of this paper is to introduce factors that may influence IA in the demographic. METHODS: This study employed qualitative descriptive research methods to investigate older adults' perceptions and experiences of IA. Semi-structured in-depth personal interviews were conducted between March and June 2023 with 36 senior citizens from urban communities in Chongqing, Southwest China. Data were analyzed via inductive content analysis methods. RESULTS: Through data analysis, 2 main categories concerning IA in older adults were identified: risk factors and protective factors. The risk factor categories include 5 individual factors (e.g., Internet as the major avenue for pursuing personal hobbies and interests, etc.), 3 family factors (e.g., household WIFI increasing the risk of prolonged Internet use indoors, etc.), 2 peer factors (e.g., peer recommendation and guidance as catalysts for intensified Internet engagement, etc.), 2 socio-environmental factors (e.g., the widespread daily Internet use spurs offline intolerance, etc.), and 3 Internet platform factors (e.g., the plenitude of online content triggers endless viewing/browsing behaviors, etc.). The category of protective factors encompasses 2 individual factors (e.g., a higher level of perceived risk regarding internet health hazards, etc.) and 2 family factors (e.g., more family commitment, etc.). CONCLUSIONS: Older adults' Internet addictive behaviors are shaped by multiple and complex internal and external factors. A higher level of online health risk perception is a key protective factor to effectively avoid the occurrence and deterioration of IA among the aged, a distinct finding from this study. It is believed that the "individual-family-peer-community" synergy strategy is expected to become an essential direction for IA intervention for older adults, in order to promote healthy Internet use among older adults.

Analysis of the hikikomori phenomenon - an international infodemiology study of Twitter data in Portuguese.

BACKGROUND: Hikikomori refers to the extreme isolation of individuals in their own homes, lasting at least six months. In recent years social isolation has become an important clinical, social, and public health problem, with increased awareness of hikikomori around the globe. Portuguese is one of the six most spoken languages in the world, but no studies have analysed the content regarding this phenomenon expressed in Portuguese. OBJECTIVE: To explore the hikikomori phenomenon on Twitter in Portuguese, utilising a mixed-methods approach encompassing content analysis, emotional analysis, and correlation analysis. METHODS: A mixed methods analysis of all publicly available tweets in the Portuguese language using a specific keyword (hikikomori) between 1st January 2008 and 19th October 2022. The content analysis involved categorising tweets based on tone, content, and user types, while correlation analysis was used to investigate user engagement and geographical distribution. Statistical analysis and artificial intelligence were employed to classify and interpret the tweet data. RESULTS: Among the total of 13,915 tweets generated, in terms of tone 10,731 were classified as "negative", and 3184 as "positive". Regarding content, "curiosities" was the most posted, as well as the most retweeted and liked topic. Worldwide, most of the hikikomori related tweets in Portuguese were posted in Europe, while "individuals with hikikomori" were the users most active posting. Regarding emotion analysis, the majority of tweets were "neutral". CONCLUSIONS: These findings show the global prevalence of the discourse on hikikomori phenomenon among Portuguese speakers. It also indicates an increase in the number of tweets on this topic in certain continents over the years. These findings can contribute to developing specific interventions, support networks, and awareness-raising campaigns for affected individuals.

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.

Mental issues, internet addiction and quality of life predict burnout among Hungarian teachers: a machine learning analysis.

BACKGROUND: Burnout is usually defined as a state of emotional, physical, and mental exhaustion that affects people in various professions (e.g. physicians, nurses, teachers). The consequences of burnout involve decreased motivation, productivity, and overall diminished well-being. The machine learning-based prediction of burnout has therefore become the focus of recent research. In this study, the aim was to detect burnout using machine learning and to identify its most important predictors in a sample of Hungarian high-school teachers. METHODS: The final sample consisted of 1,576 high-school teachers (522 male), who completed a survey including various sociodemographic and health-related questions and psychological questionnaires. Specifically, depression, insomnia, internet habits (e.g. when and why one uses the internet) and problematic internet usage were among the most important predictors tested in this study. Supervised classification algorithms were trained to detect burnout assessed by two well-known burnout questionnaires. Feature selection was conducted using recursive feature elimination. Hyperparameters were tuned via grid search with 10-fold cross-validation. Due to class imbalance, class weights (i.e. cost-sensitive learning), downsampling and a hybrid method (SMOTE-ENN) were applied in separate analyses. The final model evaluation was carried out on a previously unseen holdout test sample. RESULTS: Burnout was detected in 19.7% of the teachers included in the final dataset. The best predictive performance on the holdout test sample was achieved by random forest with class weigths (AUC = 0.811; balanced accuracy = 0.745, sensitivity = 0.765; specificity = 0.726). The best predictors of burnout were Beck's Depression Inventory scores, Athen's Insomnia Scale scores, subscales of the Problematic Internet Use Questionnaire and self-reported current health status. CONCLUSIONS: The performances of the algorithms were comparable with previous studies; however, it is important to note that we tested our models on previously unseen holdout samples suggesting higher levels of generalizability. Another remarkable finding is that besides depression and insomnia, other variables such as problematic internet use and time spent online also turned out to be important predictors of burnout.

Excessive internet use among Finnish young people between 2017 and 2021 and the effect of COVID-19.

PURPOSE: An increase in excessive Internet use (EIU) among adolescents during the COVID-19 pandemic was suggested in many studies. However, these studies were mostly based on cross-sectional and/or unrepresentative samples. METHODS: Using data from a nationwide Finnish school survey in the years 2017, 2019 and 2021 (N = 450,864; aged 13-20 years), changes in the prevalence of EIU (EIUS, 5-item) were assessed. The effects of COVID-19 (year 2021 vs. 2017/2019 combined) and linear trend were analyzed in logistic regression models. Models were adjusted for loneliness, depression, anxiety, and sociodemographic factors. RESULTS: Among males, EIU prevalence varied minimally (7.8-8.1%) from 2017 to 2021. Among females, the prevalence increased from 6.8 to 11.7% and the effect of COVID-19 was significant (OR = 1.53; p < 0.001). Including the linear trend in the model turned the COVID-19 effect on EIU among females non-significant (p = 0.625), whereas the trend was significant (OR = 1.17; p < 0.001). Adjusting the models with mental health-related factors attenuated the effect of COVID-19 to some extent, but not the effect of linear trend. CONCLUSIONS: There is a sex difference in the way the prevalence of EIU developed from 2017 to 2021 among Finnish adolescents. In males, there was no indication of increased prevalence of EIU and among females, while the effect of COVID-19 was first found, it was also suggested to be a product of a trend already started before the COVID-19 pandemic. These results are in contrast with some earlier studies suggesting an effect of COVID-19 on EIU.

Association between internet addiction and musculoskeletal disorders in Iranian medical sciences students.

BACKGROUND: The utilization of the Internet can lead to adverse outcomes in students' lives. Prolonged Internet usage may result in academic failure, an elevated risk of musculoskeletal problems, and the emergence of issues impacting the lives of students and their peers. This study aimed to explore the relationship between Internet addiction and musculoskeletal disorders (MSDs) among students in the field of medical sciences. METHODS: In this cross-sectional study, 314 medical sciences students in Semnan, Iran, were assessed using the census sampling method. The participants' Internet addiction status and the presence of MSDs were determined through Young's Internet Addiction questionnaire and the Nordic self-report questionnaire, respectively. Data underwent analysis employing logistic regression test to ascertain the relationship between Internet addiction and MSDs. RESULTS: Among the 314 participating students in this research, about 21% and 1.6% of the participants were lay open to and suffered from Internet addiction, respectively. Internet addiction was associated with the presence of pain, discomfort, burning, or numbness in the neck, wrist, upper back, hips, and thighs. For each unit increase in the Internet addiction score, the chance of neck and wrist pain rises by 3% compared to a 2% increase in upper back and hip/thigh pain. CONCLUSION: The findings of this study indicate that excessive Internet use is linked to a heightened risk of MSDs in medical sciences students. Consequently, it is imperative to raise awareness about these complications and promote the adoption of proper posture when using the Internet. Further research is also warranted among diverse student populations to investigate the impact of Internet addiction.

Problematic internet use profiles and their associated factors among adolescents.

The cognitive-behavioral model of generalized Problematic Internet Use (PIU) is the theoretical approach that has obtained the most evidence on the study of this problem, which includes four components: Online Social Preference, Mood Regulation, Deficient Self-Regulation, and Negative Outcomes. This study aimed to identify PIU profiles using Latent Profile Analysis, and to analyze the differences in them attending to some of the principal PIU risk and protective factors. A total of 675 Spanish adolescents completed questionnaires assessing PIU, Internet usage, mental health problems, personality, psychological strengths, and family relationships. Four profiles were obtained: Nonproblematic use (68.30% of the sample), Slightly problematic use (17.90% of the sample), Problematic use (8.50% of the sample), and Severe problematic use (5.40% of the sample). Results showed differences between them, with the profile with more PIU having more risk factors and less protective factors. Results showed that many different personal and social variables included in the study play a role in PIU. Knowing the different PIU profiles can help in the design of more specific and precise procedures and instruments for risk assessment, as well as aiding in prevention and in the design of more individualized treatments.

Growing propensity of internet addiction among Asian college students: meta-analysis of pooled prevalence from 39 studies with over 50,000 participants.

OBJECTIVES: Rapid internet penetration and technological advancements have facilitated accessibility to internet-enabled devices globally. Since Asia lacks comprehensive data on internet addiction among college students, this review aims to estimate its pooled prevalence. STUDY DESIGN: This was a systematic review and meta-analysis. METHODS: Searches were conducted in PubMed, Scopus, CINAHL, and MEDLINE from their inception through August 2022 using terms appropriate to internet addiction and Asian countries/territorial for publications in English peer-reviewed journals. The studies included those done on current college students and provided unambiguous indicators of the threshold of internet addiction. The pooled prevalence was calculated through a random-effects meta-analysis by RStudio software, and I2 statistic was used to assess heterogeneity. The Joanna Briggs Institute critical appraisal checklist was used for quality assessment. RESULTS: Overall, between 2007 and 2021, 39 papers comprising 45 effect sizes and totaling 58,058 participants met the inclusion criteria. The pooled prevalence of internet addiction among Asian college students was 24.3% (95% confidence interval: 19.8%-29.5%, Q = 6234, df = 44, τ2 = 0.79, I2 = 99.29%), and strikingly, this percentage increased over time. A high degree of heterogeneity was seen, and no publication bias was found. CONCLUSIONS: To our knowledge, this is the first comprehensive review report on Asian college students, which found that one-fifth suffer from internet addiction. The findings emphasize the significance of multidisciplinary prevention and management strategies to mitigate the harmful effects of internet addiction. Further research is warranted to develop a standardized diagnostic tool for a more precise estimation of internet addiction among this population.