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Traditional bullying typically occurs in schools and has been associated with a myriad of mental health problems. Recent evidence has indicated that cyberbullying may just be traditional bullying that is extended to the online world, but this possibility has received only limited study in Asian countries. This study explored the co-occurrence of traditional and cybervictimization and its association with mental health among 3319 adolescents aged 12 to 17 years in Singapore. Victims of bullying were categorized into mutually exclusive groups: traditional-only victims, cyber-only victims, or combined traditional and cybervictims. Results indicated that there were substantial overlaps between victimization in traditional bullying and cyberbullying and that traditional victimization was more prevalent than cybervictimization. Being a victim of either form of bullying (i.e., traditional-only or cyber-only victims) was associated with higher reports of internalizing and externalizing problems, and combined traditional and cybervictims reported the most internalizing problems. However, there were no significant differences in problem scores between traditional-only victims and cyber-only victims. The findings highlight the need to consider the extensive overlap between traditional and cybervictimization when investigating their differential association with adolescents' mental health. Prevention and intervention efforts by school staff and mental health practitioners need to target both traditional bullying and cyberbullying in an integrated manner, and extra attention should be provided to adolescents who are victims of both forms of bullying.

Bullying through online medium has afflicted many adolescents to cause severe mental health concerns, including self-harm and suicide. The aims of this study are to examine the prevalence of cyberbullying in Singapore adolescents, its associations with psychosocial difficulties, and how do the adolescents seek help after being cybervictimized. A representative sample of 3,319 school students aged between 12 and 17 years responded to a survey with scales measuring cyberbullying, psychosocial difficulties, and help-seeking behaviors. In the present study, 7.3 percent of adolescents reported being cybervictims only, 1.8 percent were cyberbullies only, and 4.8 percent were cyberbully-victims. Compared with the non-involved group, both cybervictim and cyberbully-victim groups were associated with more internalizing problems, but all the three cyberbullying-involved groups were associated with higher externalizing problems. Approximately half of the cybervictimized participants reported that they have sought help, with most of them (81.7 percent) choosing to tell their friends. Our findings are consistent with previous overseas studies showing increased associations of psychosocial difficulties among adolescents who are involved in cyberbullying. Public awareness of the consequences of unhealthy cyber-usage could be raised to aid in the early detection of cyberbullying among school children and adolescents. Moreover, cyberwellness programs should be considered as a component of larger anti-bullying programs in schools and in the community. [ABSTRACT FROM AUTHOR]

Background: Studies on gender differences in attention-deficit/hyperactivity disorder (ADHD) comorbidities in the Asian populations have been limited and previous studies have shown inconclusive findings. Singapore is a city-state country in Southeast Asia with a population of 5.7 million. This study examined gender differences in internalizing and externalizing problems in Singaporean children and adolescents with ADHD. The plausible social factors underlying the gender differences were discussed. Methods: A total of 773 participants (aged 6 to 18, 88% males) newly diagnosed with ADHD were recruited from the largest public child and adolescent psychiatric center in Singapore. Their internalizing and externalizing problems were assessed using the Child Behavioral Checklist and Teacher's Report Form by parents and teachers respectively. Demographics and relevant social factors were collected using parent questionnaires. Results: Females with ADHD were reported to have less delinquent and aggressive behavior but more depressive symptoms than their male counterparts, similar to findings in the Western literature. Gender remained a significant predictor of externalizing problem after controlling for other factors. Lower socioeconomic status and parental use of physical punishment were significant predictors of both internalizing and externalizing problems. Conclusions: Gender differences in ADHD comorbidities do exist in the Asian clinical population. The lack of externalizing symptoms in females with ADHD has made timely referral and diagnosis challenging. More research is needed in understanding the gender differences in ADHD and the biopsychosocial mechanism underlying the differences in order to improve the detection of ADHD in females. [ABSTRACT FROM AUTHOR]

• This study proposed the first deep learning system to differentiate individuals with ADHD, ADHD+CD, and CD using EEG signals. • The workflow process of our deep learning system is simple and does not require complicated signal processing procedures. • Grad-CAM was also employed to pinpoint crucial ECG characteristics at particular time points that influence the outcome of the prediction. • The proposed deep learning system achieved high performance result with 96.04% accuracy, 95.99% sensitivity, 96.26.% precision, and 96.11% F1-score. • The proposed deep learning system can identify significant ECG features and time-localize them, which may be used as an objective biomarker for more precise diagnosis. Attention Deficit Hyperactivity problem (ADHD) is a common neurodevelopment problem in children and adolescents that can lead to long-term challenges in life outcomes if left untreated. Also, ADHD is frequently associated with Conduct Disorder (CD), and multiple research have found similarities in clinical signs and behavioral symptoms between both diseases, making differentiation between ADHD, ADHD comorbid with CD (ADHD+CD), and CD a subjective diagnosis. Therefore, the goal of this pilot study is to create the first explainable deep learning (DL) model for objective ECG-based ADHD/CD diagnosis as having an objective biomarker may improve diagnostic accuracy. The dataset used in this study consist of ECG data collected from 45 ADHD, 62 ADHD+CD, and 16 CD patients at the Child Guidance Clinic in Singapore. The ECG data were segmented into 2 s epochs and directly used to train our 1-dimensional (1D) convolutional neural network (CNN) model. The proposed model yielded 96.04% classification accuracy, 96.26% precision, 95.99% sensitivity, and 96.11% F1-score. The Gradient-weighted class activation mapping (Grad-CAM) function was also used to highlight the important ECG characteristics at specific time points that most impact the classification score. In addition to achieving model performance results with our suggested DL method, Grad-CAM's implementation also offers vital temporal data that clinicians and other mental healthcare professionals can use to make wise medical judgments. We hope that by conducting this pilot study, we will be able to encourage larger-scale research with a larger biosignal dataset. Hence allowing biosignal-based computer-aided diagnostic (CAD) tools to be implemented in healthcare and ambulatory settings, as ECG can be easily obtained via wearable devices such as smartwatches. [ABSTRACT FROM AUTHOR]

Introduction: Family history of psychopathology is a risk factor for mood and anxiety disorders in children, but little is known about rates of parental psychopathology among treatment-seeking youth with affective disorders in the Asia Pacific region. This study examined patterns of emotional and behavioural problems in parents of clinically-referred youth in Singapore. We hypothesised that parents would have higher rates of affective disorders compared to the Singapore national prevalence rate of 12%., Materials and Methods: In this cross-sectional study, 47 families were recruited from affective disorders and community-based psychiatry programmes run by a tertiary child psychiatry clinic. All children had a confirmed primary clinical diagnosis of depression or an anxiety disorder. Parents completed the Mini International Neuropsychiatric Interview (MINI) to assess for lifetime mood and anxiety disorders. They also completed the Adult Self Report (ASR) and Adult Behavior Checklist (ABCL) to assess current internalising and externalising symptoms., Results: Consistent with our hypothesis, 38.5% of mothers and 10.5% of fathers reported a lifetime mood and anxiety disorder. Nearly 1/3 of mothers had clinical/subclinical scores on current internalising and externalising problems. A similar pattern was found for internalising problems among fathers, with a slightly lower rate of clinical/subclinical externalising problems., Conclusion: Our findings are consistent with previous overseas studies showing elevated rates of affective disorders among parents - particularly mothers - of children seeking outpatient psychiatric care. Routine screening in this population may help to close the current treatment gap for adults with mood and anxiety disorders.