Relationship between Internet addiction, susceptible personality traits, and suicidal and self-harm ideation in Chinese adolescent students

Internet addiction and suicidal ideation in Chinese children with migrant parents: Mediating role of anxiety and moderating role of social support

INTRODUCTION

The prevalence of internet addiction among Chinese left-behind children, coupled with its potential to exacerbate anxiety and suicidal ideation, has become a critical issue. This study seeks to address the dearth of research on the psychological underpinnings of this phenomenon, particularly the mediating role of anxiety and the moderating effect of social support across different parental migration statuses. Understanding these relationships is crucial for developing targeted interventions and informing policy decisions.

METHODS

In a cross-sectional study, we administered Young's Internet Addiction Test, alongside scales for anxiety, social support, and suicidal ideation, to 2882 middle school students in China with diverse parental migration backgrounds. Utilizing an online survey approach, we ensured broad participation and participant anonymity. Advanced statistical analyses, including regression models for mediation and moderation effects, were employed to rigorously test our hypotheses.

RESULTS

Among all participants, a significant positive correlation was observed between Internet addiction and suicidal ideation. Anxiety mediated the relationship between Internet addiction and suicidal ideation across all groups, including those with mother-only migration (Effect = 0.383, 95%CI: 0.107,0.943), father-only migration (Effect = 0.806, 95%CI: 0.487-1.230), both-parent migration(Effect = 0.289, 95%CI: 0.105-0.521), and non-left-behind children (Effect = 0.469, 95%CI: 0.342-0.630). Particularly in families where only the mother was absent, the moderating role of social support was especially prominent (B = 1.174, t = 6.446, p < 0.001 for low social support), underscoring the importance of family structure in the context of Internet addiction.

CONCLUSION

Internet addiction has both direct and indirect effects on suicidal ideation, with anxiety playing a mediating role in the indirect effects. Social support moderates and alleviates the relationship between Internet addiction and anxiety specifically in the mother-only migration group. Therefore, clarifying these relationships helps in developing and implementing effective interventions to specifically improve the mental health and living conditions of left-behind children.

Identification of patients with internet gaming disorder via a radiomics-based machine learning model of subcortical structures in high-resolution T1-weighted MRI

It is of vital importance to establish an objective and reliable model to facilitate the early diagnosis and intervention of internet gaming disorder (IGD). A total of 133 patients with IGD and 110 healthy controls (HCs) were included. We extracted radiomic features of subcortical structures in high-resolution T1-weighted MRI. Different combinations of four feature selection methods (analysis of variance, Kruskal-Wallis, recursive feature elimination and relief) and ten classification algorithms were used to identify the most robust combined models for distinguishing IGD patients from HCs. Furthermore, a nomogram incorporating radiomic signatures and independent clinical factors was developed. Calibration curve and decision curve analyses were used to evaluate the nomogram. The combination of analysis of variance selector and logistic regression classifier identified that the radiomic model constructed with 20 features from the right caudate nucleus and amygdala showed better IGD screening performance. The radiomic model produced good areas under the curves (AUCs) in the training, validation and test cohorts (AUCs of 0.961, 0.903 and 0.895, respectively). In addition, sex, internet addiction test scores and radiomic scores were included in the nomogram as independent risk factors for IGD. Analysis of the correction curve and decision curve showed that the clinical-radiomic model has good reliability (C-index: 0.987). The nomogram incorporating radiomic features of subcortical structures and clinical characteristics achieved satisfactory classification performance and could serve as an effective tool for distinguishing IGD patients from HCs.

Prediction of suicidal ideation among preadolescent children with machine learning models: A longitudinal study

BACKGROUND

Machine learning (ML) has been widely used to predict suicidal ideation (SI) in adolescents and adults. Nevertheless, studies of accurate and efficient models of SI prediction with preadolescent children are still needed because SI is surprisingly prevalent during the transition into adolescence. This study aimed to explore the potential of ML models to predict SI among preadolescent children.

METHODS

A total of 4691 Chinese children (54.89 % boys, Mage = 10.92 at baseline) and their parents completed relevant measures at baseline and the children provided 6-month follow-up data for SI. The current study compared four ML models: Random Forest (RF), Decision Tree (DT), Support Vector Machine (SVM), and Multilayer Perceptron (MLP), to predict SI and to identify variables with predictive value based on the best-performing model among Chinese preadolescent children.

RESULTS

The RF model achieved the highest discriminant performance with an AUC of 0.92, accuracy of 0.93 (balanced accuracy = 0.88). The factors of internalizing problems, externalizing problems, neuroticism, childhood maltreatment, and subjective well-being in school demonstrated the highest values in predicting SI.

CONCLUSION

The findings of this study suggested that ML models based on the observation and assessment of children's general characteristics and experiences in everyday life can serve as convenient screening and evaluation tools for suicide risk assessment among Chinese preadolescent children. The findings also provide insights for early intervention.

Personality traits as predictors for treatment response to sertraline among unmedicated obsessive-compulsive Disorder: A 12-weeks retrospective longitudinal study

The effectiveness of selective serotonin reuptake inhibitors (SSRIs) as a primary treatment for obsessive-compulsive disorder (OCD) remains uncertain. Even after undergoing standard SSRIs treatment, 40%-60% of individuals with OCD persistently endure symptoms. Recent studies proposed that personality traits may influence the diversity of OCD treatment results. Thus, in this retrospective study, we evaluated the Eysenck Personality Questionnaire (EPQ) scores of 51 untreated patients with OCD and 35 healthy controls. The Yale-Brown Obsessive Compulsive Scale (Y-BOCS) was employed to assess OCD symptom severity at weeks 0, 2, 4, 8, and 12 of sertraline treatment. The primary outcome focused on the reduction rate of Y-BOCS scores (response: ≥25%; marked response: ≥50%). Our findings revealed that individuals with OCD demonstrated a significantly higher neuroticism score compared to healthy controls. Correlation analyses exposed a positive link between psychoticism and the duration of the disease. Moreover, family history strongly correlated with both obsessive thoughts and the total Y-BOCS score. Subsequent univariate Cox proportional analyses indicated that both low neuroticism and high extraversion traits could forecast the response to sertraline. Furthermore, only a high extraversion trait was linked to a marked response. Our results support the idea that personality traits may contribute to OCD vulnerability and predict sertraline treatment outcomes.

School connectedness and psychological resilience as mediators in the relationship between childhood abuse and suicidal ideation among Chinese adolescents

Background: Suicide among adolescents is a huge public health concern around the world. Although childhood abuse has been established as a substantial risk factor for suicide behaviours, potential mediators in this relationship remain unclear.Objective: This study aimed to examine the mediating roles of school connectedness and psychological resilience in the association between childhood abuse and suicidal ideation among Chinese high school students.Methods: The sample involved 1607 adolescents from four high schools in Central China. Structural equation modelling (SEM) was conducted to investigate the mediation effects of school connectedness and psychological resilience on the relationship between childhood abuse and suicidal ideation.Results: The prevalence of suicidal ideation during the past week was 21.9%. Childhood abuse was positively related to the development of suicidal ideation directly and indirectly through school connectedness and psychological resilience. School connectedness and psychological resilience were also partial mediators of all three types of childhood abuse (emotional abuse, physical abuse and sexual abuse) when the types were examined separately.Conclusions: Suicidal ideation was widespread among Chinese high school students. Psychological resilience and school connectedness could attenuate the detrimental impact of childhood abuse on suicidal ideation. Findings underscore the improvement of psychological resilience and the connection to the school would be beneficial to suicide prevention among Chinese adolescents with childhood abuse.

Associations between problematic internet use, life satisfaction, and deliberate self-harm among Chinese adolescents: A multi-centered longitudinal study

INTRODUCTION

Problematic Internet use (PIU), which is associated with deliberate self-harm (DSH), has become a common problem among adolescents. Life satisfaction (LS) may be able to mitigate the negative influences of PIU and DSH. But the longitudinal associations among them are yet to be well-researched.

METHODS

A longitudinal study with three-wave data collection involving 6092 adolescents was carried out in China. PIU, LS, and DSH were assessed using the Young Internet Addiction Test, the Satisfaction with Life Scale, and the Deliberate Self-Harm Inventory Nine-Item Version, respectively. A cross-lagged model was used to analyze the longitudinal interactions between them. Generalized Estimating Equations were adopted to identify their influential factors.

RESULTS

The prevalence of single DSH behaviors from wave 1 to wave 3 was 5.04%, 5.00%, and 4.67%, and the repeated DHS from wave 1 to wave 3 was 2.9%, 3.2%, and 3.4%, respectively. Bidirectional longitudinal predictive associations were revealed between PIU and LS (p＜0.001), and LS and DSH (p＜0.001). DSH could longitudinally predict PIU (p＜0.001). Gender and age were associated with PIU, LS, and DSH (p＜0.001), and PIU was influenced by ethnicity (p＜0.001).

CONCLUSION

PIU and LS, LS and DSH were associated bidirectionally. Adolescents with more severe DSH behaviors were inclined to become addicted to the Internet, and adolescents with a history of DSH had a higher risk of recurring DSH. Parents, schools, and administrators need to improve the LS of adolescents, with a particular focus on older, female adolescents.

Internet addiction and suicidal ideation among Chinese college students: the mediating role of psychotic-like experiences

Background

Individuals with Internet addiction (IA) are at significant risk of suicide-related behaviors. This study aimed to investigate the relationships among IA, psychotic-like experiences (PLEs), and suicidal ideation (SI) among college students.

Methods

A total of 5,366 college students (34.4% male, mean age 20.02 years) were assessed using the self-compiled sociodemographic questionnaires, Revised Chinese Internet Addiction Scale (CIAS-R), 15-item Positive subscale of the Community Assessment of Psychic Experiences (CAPE-P15), Self-rating Idea of Suicide Scale (SIOSS), and 2-item Patient Health Questionnaire (PHQ-2).

Results

The prevalence of IA and SI were 9.3 and 12.1% among Chinese college students, respectively. There were direct effects of IA and PLEs on SI. The total effect of IA on SI was 0.18 (p < 0.001). PLEs mediated the relationship between IA and SI (Indirect effect = 0.07).

Conclusion

IA had both direct and indirect effects on SI. These findings enable us to elucidate the mechanism of how IA influences individual SI, which can provide vital information for developing and implementing targeted interventions and strategies to alleviate SI among Chinese college students.

Phubbing behavior, personality, and use of instagram by Brazilian adults: a correlational and predictive study

Phubbing behavior is a phenomenon that consists in ignoring people in situations of social interaction whilst paying attention to one's smartphone. The study of this behavior enables reflection on the development of healthy behavior patterns when using technology and the design of intervention strategies to cope with phubbing behavior. This study aimed to investigate the relationship between phubbing behavior, use of Instagram, personality traits (Big Five), and sociodemographic variables (gender, education, and age) among Brazilian adults. This was a cross-sectional study with a sample of 1551 adults (61.7% women; 29.9% men), aged between 18 and 76 years (M = 31.6 years; SD = 9.6 years). The results of the correlation analysis indicated that excessive use of Instagram showed a high, positive association ρ (1551) = 0.442 with Phubbing Behavior and a moderate one with neuroticism ρ (1551) = 0.272. Phubbing behavior was positively and moderately with neuroticism ρ (1551) = 0.290, but it had a weak, negative correlation with age ρ (1551) = -0.117; p < 0.001. Multiple linear regression analysis (forward method) indicated that the variables that most strongly impacted Phubbing Behavior were neuroticism (ΔR2 = .236), conscientiousness (ΔR2 = .244) and use of Instagram (ΔR2 = .204). This result indicates that conscientiousness may have a predictive potential to decrease phubbing behavior, whereas neuroticism and use of Instagram may lead to increased phubbing. Multivariate Analysis of Variance indicated that excessive use of Instagram registered higher scores for women (M = 11.48; SD = 0.21) than for men (M = 9.45; SD = 0.27, p < 0.001). It was concluded that while conscientiousness can function as a protective factor for the development of phubbing behavior, high levels of neuroticism and excessive use of Instagram have greater potential to act as risk factors for it. In addition, neuroticism is also a risk factor for excessive use of Instagram, and women are more prone to such overuse.

Problematic internet use and suicidality and self-injurious behaviors in adolescents: Effects of negative affectivity and social support

BACKGROUND

Problematic internet use (PIU) has been shown to be closely associated with suicidality and self-injurious behavior (SSIB), but the mechanism to help explain this association is understudied. The aim of the present study is to test mediating effects of negative affectivity between PIU and SSIB and whether social support moderates this mediating effect.

METHODS

A sample of 2173 middle and high school students (M_age = 14.66, SD_age = 1.87) in central China were recruited. All participants completed a self-report questionnaire assessing PIU, SSIB, negative affectivity, and social support. Simple mediation analysis and moderated mediation analysis were conducted to examine the roles of negative affectivity and social support in the association between PIU and SSIB.

RESULTS

PIU was positively associated with SSIB, and negative affectivity mediated this association (β = 0.255, Boot 95 % CI: 0.219 to 0.296). The indirect effect of negative affectivity was moderated by social support, with a stronger association between PIU and SSIB for adolescents with lower social support (β = 0.228, Boot 95 % CI: 0.178 to 0.282) than their counterparts (β = 0.098, Boot 95 % CI: 0.068 to 0.133).

LIMITATION

Cross-sectional design with self-report measures.

CONCLUSIONS

PIU is a detrimental risk factor for SSIB, as it is associated with high negative affectivity and increased SSIB, which was more robust for adolescents with lower social support. These results highlight the importance of helping adolescents regulate negative affectivity and improving social support-based preventative interventions to reduce SSIB.

Internet addiction and suicidal behavior among vocational high school students in Hunan Province, China: A moderated mediation model

Background

Vocational education is an important part of high school education in China. However, there is little research on high school students' mental health. This study aimed to investigate the prevalence of suicidal behavior (SB) among this population and the mediating role of insomnia, depression, anxiety, and stress in the relationship between Internet addiction (IA) and SB using a structural equation model.

Methods

A cross-sectional questionnaire survey was conducted among several vocational high school students in Hunan Province, and 7,968 valid questionnaires were obtained. General demographic data and data from the Dual-Mode Self-Control Scale, Athens Insomnia Scale, Depression Anxiety Stress scale-21, and Revised Chen Internet Addiction Scale were collected. A structural equation model was used to explore the different pathways from IA to SB.

Results

Among the participants, 37.7, 15.7, and 21.8% reported suicidal ideation, plans, and attempts, respectively. The structural equation model confirmed that IA was indirectly related to SB and was mediated by insomnia and/or depression, anxiety, and stress.

Limitations

First, we only recruited students from vocational schools in Hunan Province, therefore, the sample may not represent the entire population of vocational students in China. Second, self-report scales were used in this study, and clinical diagnosis required professional interviews. Third, since this study had a cross-sectional design, the causal relationship between the variables could not be determined.

Conclusions

The prevalence of SB among vocational high school students in China was significantly high. The prevention of SB related to IA can be attributed to the improvement of insomnia and emotional problems.

Prediction of suicidal ideation among Chinese college students based on radial basis function neural network

Background

Suicide is one of the leading causes of death for college students. The predictors of suicidal ideation among college students are inconsistent and few studies have systematically investigated psychological symptoms of college students to predict suicide. Therefore, this study aims to develop a suicidal ideation prediction model and explore important predictors of suicidal ideation among college students in China.

Methods

We recruited 1,500 college students of Sichuan University and followed up for 4 years. Demographic information, behavioral and psychological information of the participants were collected using computer-based questionnaires. The Radial Basis Function Neural Network (RBFNN) method was used to develop three suicidal ideation risk prediction models and to identify important predictive factors for suicidal ideation among college students.

Results

The incidence of suicidal ideation among college students in the last 12 months ranged from 3.00 to 4.07%. The prediction accuracies of all the three models were over 91.7%. The area under curve scores were up to 0.96. Previous suicidal ideation and poor subjective sleep quality were the most robust predictors. Poor self-rated mental health has also been identified to be an important predictor. Paranoid symptom, internet addiction, poor self-rated physical health, poor self-rated overall health, emotional abuse, low average annual household income per person and heavy study pressure were potential predictors for suicidal ideation.

Conclusions

The study suggested that the RBFNN method was accurate in predicting suicidal ideation. And students who have ever had previous suicidal ideation and poor sleep quality should be paid consistent attention to.

Sex differences in association between Internet addiction and aggression among adolescents aged 12 to 18 in mainland of China

BACKGROUND

Previous studies have reported that Internet addiction (IA) is an important predictor of aggression. However, little is known whether aggression is a risk factor of IA. This study aims to explore whether IA can predict total and sub-types of aggression, whether aggression also can predict IA, and the potential sex difference.

METHOD

A total of 15,977 adolescents aged 12 to 18 were recruited though a stratified cluster sampling across five representative provinces in mainland of China. Young's Internet Addiction Test (IAT) and Buss and Warren's Aggression Questionnaire (BWAQ) were used to measure IA and aggression, respectively.

RESULTS

The prevalence of IA and total aggression was 16.8 % and 25.0 %, respectively. Binary logistic regression analysis indicated that IAT score was significantly associated with total and five sub-types of aggression (P < 0.001). However, scores of physical aggression, hostility, and indirect aggression were positively associated with IA (P < 0.001), while verbal aggression and anger were not significant (P > 0.05). Moreover, the interaction of sex and IA was significant for aggression. Specifically, females with IA had higher risks of anger and indirect aggression but had lower risks of physical and verbal aggression compared to males with IA.

LIMITATIONS

Cross-sectional design, self-reported information, and only Chinese rural adolescents.

CONCLUSIONS

IA is a strong risk factor of total and five sub-types of aggression, while not all sub-types of aggression are predictors of IA. Prevention programs for adolescents' IA and aggression should consider different aggression sub-types and sex.

The influence of family incivility on cyberbullying perpetration: A moderated mediation model

Previous research has extended the stress literature by exploring the relationship between family incivility and cyberbullying perpetration, yet relatively less attention has been paid to underlying psychological mechanisms between that relationship among university students. According to the Frustration-Aggression Theory, this study examined the relationships of family incivility, cyberbullying perpetration, negative emotions and neuroticism among Chinese university students. Data were collected from 814 university students (females, N = 423; Mage = 19.96 years, SD = 3.09). The results examined the mechanism through which family incivility was significantly related to cyberbullying perpetration through the mediation of negative emotions, suggesting a strong link of stressful life events to online aggression. In addition, high levels of neuroticism moderated the relationship between family incivility and cyberbullying perpetration, as well as that between family incivility and negative emotions. The study revealed the chronic and potential impact of family incivility, underlined the interaction between stressful life events and online aggression, and put forward the intervention strategies of cyberbullying among university students.

Depressive symptoms as a mediator between perceived social support and suicidal ideation among Chinese adolescents

OBJECTIVE

Little is known about the association between perceived social support (PSS) and suicidal ideation in Chinese adolescents. This study was to examine the association of perceived social support and suicidal ideation (SI) and the mediating role of depressive symptoms in a large sample of adolescents in China.

METHOD

A total of 11,831 adolescents who participated in the baseline Shandong Adolescent Behavior & Health Cohort were included for analysis. Perceived social support, depressive symptoms, and other variables were assessed by a self-administrated questionnaire. Path analysis was used to estimate the association between PSS, depressive symptoms, and suicidal ideation.

RESULTS

The prevalence rate of SI in the past year was 12.5%. Suicidal ideation and depressive symptoms were significantly associated with low PSS from family, friends, and significant others. Path analysis revealed that depressive symptoms partially mediated the relationship between PSS from family, friends, and significant others and suicidal ideation. After controlling for covariates, the mediation effect proportion of depressive symptoms on the associations between perceived social support from family, friends, and significant others and SI ranged from 19.20% to 62.12%.

LIMITATIONS

As this is a cross-sectional study, no causal relationship could be made.

CONCLUSIONS

Depressive symptoms partially mediated the association between perceived social support and suicidal ideation. Longitudinal research is needed to better understand the association between social support and suicidal ideation in adolescents.

Personality traits and self-harm behaviors among Chinese children and adolescents: The mediating effect of psychological resilience

BACKGROUND

Previous studies have shown that personality traits are associated with self-harm (SH) in adolescents. However, the role of resilience in this association remains unclear. Our research aims to explore the hypothesized mediation effect of resilience in the relationship between personality traits and SH in Chinese children and adolescents.

AIM

To evaluate resilience as a mediator of the association between personality traits and SH.

METHODS

A population-based cross-sectional survey involving 4471 children and adolescents in Yunnan province in southwestern China was carried out. Relevant data were collected by self-reporting questionnaires. Univariate and multivariate logistic regression models were employed to identify associated factors of SH. A path model was used to assess the mediation effect of resilience with respect to personality traits and SH association.

RESULTS

Among the 4471 subjects, 1795 reported SH, with a prevalence of 40.1% (95%CI: 34.4%-46.0%). All dimensions of personality traits were significantly associated with SH prevalence. Resilience significantly mediated the associations between three dimensions of personality (extroversion, neuroticism, psychoticism) and SH, accounting for 21.5%, 4.53%, and 9.65%, respectively, of the total associations. Among all dimensions of resilience, only emotional regulation played a significant mediation role.

CONCLUSION

The results of the study suggest that improving emotion regulation ability might be effective in preventing personality-associated SH among Chinese children and adolescents.

Effect of Alexithymia on Internet Addiction Among College Students: The Mediating Role of Metacognition Beliefs

Background: Previous studies have found that alexithymia plays an important role in the pathogenesis of Internet addiction. However, the effect of alexithymia on both metacognition and Internet addiction has yet to be examined. Methods: The Toronto Alexithymia Scale, Metacognition Questionnaire, and Internet Addiction Test were used to assess a sample of 356 college students. A parallel mediator effect analysis was applied to test the hypothesis that metacognition mediates the relationship between alexithymia and Internet addiction. Results: The parallel multiple mediator models showed that alexithymia predicted the five dimensions of metacognition and Internet addiction, and that three dimensions-cognitive confidence, positive beliefs about worry, and the need to control thoughts-partially mediated this relationship. Conclusion: Alexithymia could directly and indirectly predict Internet addiction via metacognition.

Mindfulness buffers the influence of stress on cue-induced craving for Internet among Chinese colleges with problematic Internet use

BACKGROUND AND AIMS

Stress is a common experience among college students with problematic Internet use, and it may exacerbate their cue-induced Internet craving. This study aimed to examine the influence of stress on cue-induced craving for the Internet among subjects with problematic Internet use and the buffering effect of mindfulness.

METHODS

Sixty-eight college students with problematic Internet use were assigned to groups with a 2 (stress vs. no-stress) × 2 (high vs. low mindfulness) between-subject design.

RESULTS

It was deduced that stress could significantly enhance cue-induced craving for the Internet, and mindfulness could buffer this effect. Specifically, the effect of stress on cue-induced craving for the Internet was weaker among subjects with high mindfulness as compared to subjects with low mindfulness.

DISCUSSION AND CONCLUSIONS

These findings contribute to understanding of the factors influencing problematic Internet use and how such factors interact. It also provides recommendations on how to prevent the progression of problematic Internet use and suggests possible interventions.