Exploring mediational roles for self-stigma in associations between types of problematic use of internet and psychological distress in youth with ADHD

The "Vicious Circle of addictive Social Media Use and Mental Health" Model

Social media use (SMU) is a significant part of many people's everyday life. Research around the globe describes an increase of addictive SMU tendencies since the COVID-19 outbreak. The present work combines available findings in the "Vicious Circle of addictive Social Media Use and Mental Health" model to explain how social media (SM) activity can contribute to the development of addictive tendencies, which consequences they have for mental health, and how to prevent them. Following the model, the interplay between the risk factors negative experiences caused by daily hassles and by unexpected global and traumatic events, SMU (dimension "quality"), and SM flow can directly contribute to addictive SMU through the "vicious circle". Time spent on SMU (dimension "quantity"), symptoms of depression and anxiety, and the personality trait narcissism contribute to the circle as moderators. Symptoms of stress, insomnia, and suicide-related outcomes are described as potential consequences of addictive SMU. Based on longitudinal intervention studies, a conscious reduction of SMU time and an increase of physical activity, as well as positive mental health and mindfulness are identified as protective factors that reduce the risk of addictive tendencies. The model contributes to a better understanding of addictive SMU. Implications of the model for future research and praxis, specifically for mental health programs and therapeutic treatment are discussed.

Excessive internet use as a risk factor for suicide ideation among university students in Malawi: A cross-sectional study

Background

Covid 19 has fast-paced the use of technological innovations, mainly the internet. However, Internet use can lead to several behavioral and psychological conditions, such as cyberbullying and distorted relationships, which could lead to suicide ideation. Suicide is the second leading cause of death among young adults.

Aim

To assess the association between Internet addiction and suicide ideation among university students in Malawi. Furthermore, to assess the factors associated with suicidal thoughts among Malawian college students who surf the World Wide Web.

Methods

This cross-sectional study utilized secondary research and used data available from https://data.mendeley.com/drafts/xbfbcy5bhv. Internet addiction was measured using the Internet Addiction Test. The dependent variable includes suicide ideation. Binary logistic regression was used to analyze the relationship between the dependent and independent variables. The value of p < 0.05 was considered statistically significant.

Results

Out of the 620 participants, 514 (82.2%) were aged between 15 and 24. The majority were males 401 (64.7%). The mean IAT score was 46.08 (SD = 14.60). The IAT score was 44.81 (SD = 13.85) among males and 48.40 (SD = 15.65) among females (p = 0.003). About 341 (55%) of students use the internet excessively. Suicide ideation was prevalent among 101 (16.3%) of the students. Suicide ideation was significantly associated with internet addiction. (p < 0.001). The odds of developing suicidal thoughts increased about 3 times among excessive internet users compared to average users (OR = 2.91, 95% CI = 1.213-7.018). However, age, gender, discipline, and year of study were not associated with suicide ideation.

Conclusion

The study suggests that internet addiction affects suicide ideation mainly through distorting social relationships. School settings should increase awareness regarding the safe use of the internet to ensure a balance between online and real-life interactions and curb suicide.

A Study on the Screening of Children at Risk for Developmental Disabilities Using Facial Landmarks Derived From a Mobile-Based Application

OBJECTIVE

Early detection and intervention of developmental disabilities (DDs) are critical to improving the long-term outcomes of afflicted children. In this study, our objective was to utilize facial landmark features from mobile application to distinguish between children with DDs and typically developing (TD) children.

METHODS

The present study recruited 89 children, including 33 diagnosed with DD, and 56 TD children. The aim was to examine the effectiveness of a deep learning classification model using facial video collected from children through mobile-based application. The study participants underwent comprehensive developmental assessments, which included the child completion of the Korean Psychoeducational Profile-Revised and caregiver completing the Korean versions of Vineland Adaptive Behavior Scale, Korean version of the Childhood Autism Rating Scale, Social Responsiveness Scale, and Child Behavior Checklist. We extracted facial landmarks from recorded videos using mobile application and performed DDs classification using long short-term memory with stratified 5-fold cross-validation.

RESULTS

The classification model shows an average accuracy of 0.88 (range: 0.78-1.00), an average precision of 0.91 (range: 0.75-1.00), and an average F1-score of 0.80 (range: 0.60-1.00). Upon interpreting prediction results using SHapley Additive exPlanations (SHAP), we verified that the most crucial variable was the nodding head angle variable, with a median SHAP score of 2.6. All the top 10 contributing variables exhibited significant differences in distribution between children with DD and TD (p<0.05).

CONCLUSION

The results of this study provide evidence that facial landmarks, utilizing readily available mobile-based video data, can be used to detect DD at an early stage.

Measurement Invariance of the Lemmens Internet Gaming Disorder Scale-9 Across Age, Gender, and Respondents

Although Internet gaming disorder (IGD) has gained increased attention in scientific, clinical, and community contexts, there is still a lack of consensus regarding the best assessment tools (i.e., self-report or other reports) for assessing its symptoms. The present study aimed to investigate the reliability, validity, and measurement invariance of both versions (youth and parent) of The Lemmens Internet Gaming Disorder Scale-9. To achieve this goal, we recruited between June and October 2019 from five Romanian highschools a total of 697 adolescents (11-19 years old) and one of their parents (N = 391). The internal consistency was good in both versions of the instrument (α = 0.772 for the youth version and α = 0.781 for the parent version). Construct validity assessed through confirmatory factor analysis showed support for the one factor structure of the scales, while multigroup confirmatory factor analysis endorsed the invariance across age, gender, and respondents (i.e., parent vs. youth report). The current research identifies both IGD scales to be reliable and valid, arguing for their utility for assessing IGD symptomatology among adolescents. Implications for theory, assessment, and future directions are discussed.

Problematic Use of Internet Associates with Poor Quality of Life via Psychological Distress in Invididuals with ADHD

Background

Problematic use of internet (PUI) may have negative impacts on psychological distress and quality of life (QoL). This situation might be more profound in people with attention-deficit/hyperactivity disorder (ADHD) due to poorer behavioral control and regulatory capacity. However, there is little evidence regarding mediated effects in the associations between PUI, psychological distress, and QoL in people with ADHD.

Aims

To investigate mediating effects of psychological distress in the associations of problematic smartphone use (PSPU), problematic use of social media (PUSM), and problematic gaming (PG) with QoL in individuals with ADHD.

Methods and Procedures

PUI behaviors of participants with ADHD (n = 99) were assessed using the Smartphone Application-Based Addiction Scale, Bergen Social Media Addiction Scale, and Internet Gaming Disorder-Short Form. Psychological distress was assessed using the Depression, Anxiety, Stress Scale and QoL using the Kid-KINDL.

Outcomes and Results

Psychological distress mediated the associations between PUI and different domains of QoL, except for self-esteem QoL. There were also positively direct effects between PG and physical QoL, PUSM and friends' QoL, and PSPU and physical QoL.

Conclusions and Implications

PUI may associate with poor QoL in people with ADHD via psychological distress. Programs on reducing PUI for people with ADHD are needed.

Problematic smartphone use and two types of problematic use of the internet and self-stigma among people with substance use disorders

BACKGROUND AND AIMS

Guided by the Interaction of Person-Affect-Cognition-Execution (I-PACE) model and a self-stigma framework, this study aimed to investigate relationships between cognitive and affective self-stigma and behavioral self-stigma, problematic use of internet (PUI), and problematic smartphone use (PSU) among people with substance use disorders (SUDs). It also examined mediating roles for affective self-stigma in the relationships between cognitive self-stigma and behavioral self-stigma/PUI/PSU.

METHODS

Using a cross-sectional design, 530 participants diagnosed with SUDs in Taiwan were recruited from a psychiatric center in Taiwan. Mediation models were investigated using the Hayes' Process Macro Model 4.

RESULTS

Mediation analyses indicated that cognitive self-stigma was directly associated with behavioral self-stigma (p < 0.001), but not with either types of PUI or PSU (p-values ranging from 0.41 to 0.76). Affective self-stigma was directly related to behavioral self-stigma (p < 0.001), two types of PUI, and PSU (β = 0.24-0.30; all p < 0.001); cognitive self-stigma was indirectly associated with behavioral self-stigma (β = 0.53; 95  % bootstrapping CI = 0.46, 0.60), two types of PUI, and PSU (β = 0.20-0.25; 95  % bootstrapping CI = 0.08-0.14, 0.31-0.37) via a mediating effect of affective self-stigma.

DISCUSSION AND CONCLUSION

Findings support the I-PACE model in a self-stigma context. The findings also suggest that addressing affective self-stigma may help prevent or reduce behavioral self-stigma, PUI, and PSU among people with SUDs. Longitudinal studies are warranted to investigate over time relationships between self-stigma and PUI/PSU in people with SUDs.

The unique role of smartphone addiction and related factors among university students: a model based on cross-sectional and cross-lagged network analyses

Smartphone addiction is a global problem affecting university students. Previous studies have explored smartphone addiction and related factors using latent variables. In contrast, this study examines the role of smartphone addiction and related factors among university students using a cross-sectional and cross-lagged panel network analysis model at the level of manifest variables. A questionnaire method was used to investigate smartphone addiction and related factors twice with nearly six-month intervals among 1564 first-year university students (M = 19.14, SD = 0.66). The study found that procrastination behavior, academic burnout, self-control, fear of missing out, social anxiety, and self-esteem directly influenced smartphone addiction. Additionally, smartphone addiction predicted the level of self-control, academic burnout, social anxiety, and perceived social support among university students. Self-control exhibited the strongest predictive relationship with smartphone addiction. Overall, self-control, self-esteem, perceived social support, and academic burnout were identified as key factors influencing smartphone addiction among university students. Developing prevention and intervention programs that target these core influencing factors would be more cost-effective.

Circadian typologies and insomnia in individuals with internet gaming disorder comorbid with attention deficit/hyperactivity disorder

The alteration in circadian typology and insomnia were prevalent among both Individuals with IGD and those with attention deficit hyperactivity disorder (ADHD), the most comorbid psychiatric disorder of IGD. This study aimed to evaluate the relationships between circadian typologies, insomnia, and internet gaming disorder (IGD) and how ADHD affects this relationship. We recruited three groups of 69 young adults: an IGD group, a control group comprising age- and sex-matched nongamers, and a group of gamers without IGD through diagnostic interviews. The participants with IGD exhibited lower composite scale of morningness (CSM) scores and thus a higher eveningness preference In addition, the score of Pittsburgh insomnia rating scale-20-item version (PIRS_20) was significantly higher among those with IGD. The participants with IGD and ADHD exhibited lower CSM scores but higher PRIS_20 scores than the participants with IGD but without ADHD. The present findings indicate that participants with IGD exhibited a tendency of eveningness preference and experienced more severe insomnia. ADHD exacerbated the eveningness preference and insomnia of individuals with IGD. Close attention should be paid to sleep problems in individuals with IGD, particularly to those with ADHD.