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Yoonmi Ji,1 Tae Young Choi,1 Jonghun Lee,1 Seoyoung Yoon,1 Geun Hui Won,1 Hyerin Jeong,2 Seung Wan Kang,2,3 Jun Won Kim1 1Department of Psychiatry, Daegu Catholic University School of Medicine, Daegu, Republic of Korea; 2iMediSync Inc, Seoul, Republic of Korea; 3National Standard Reference Data Center for Korean EEG, Seoul National University College of Nursing, Seoul, Republic of KoreaCorrespondence: Jun Won Kim, Department of Psychiatry, Daegu Catholic University School of Medicine, 3056-6 Daemyeong-4 dong, Nam-gu, Daegu, 705-718, Republic of Korea, Tel +82-53-650-4786, Fax +82-53-623-1694, Email f_affection@naver.comPurpose: This study used quantitative electroencephalography (QEEG) to investigate the characteristics of attention-deficit/hyperactivity disorder (ADHD) subtypes in children.Patients and Methods: There were 69 subjects (42 with ADHD and 27 neurotypical (NT)) in this study. A semi-structured interview was conducted with each participant for psychiatric diagnostic evaluation. We measured the absolute and relative power in 19 channels and analyzed QEEG using the following frequency ranges: delta (1– 4 Hz), theta (4– 8 Hz), alpha 1 (8– 10 Hz), alpha 2 (10– 12 Hz), beta 1 (12– 15 Hz), beta 2 (15– 20 Hz), beta 3 (20– 30 Hz), and gamma (30– 45 Hz). Group analyses and EEG noise preprocessing were conducted using iSyncBrain, a cloud-based, artificial intelligence EEG analysis platform. Analysis of covariance adjusted for IQ, age, and sex was used.Results: QEEG analysis revealed three ADHD subtypes, characterized by (A) elevated relative fast alpha and beta power, (B) elevated absolute slow frequency (delta and theta power), or (C) elevated absolute and relative beta power. A significant difference was found in the Korean ADHD Rating Scale (K-ARS) among the four groups (df=3, F=8.004, p< 0.001); group C had the highest score (25.31± 11.16), followed by group A (21.67± 13.18). The score of group B (12.64± 7.84) was similar to that of the NT group (11.07± 6.12) and did not reach the cut-off point of the K-ARS. In the Wender–Utah Rating Scale (WURS), group B score (55.82± 23.17) was significantly higher than the NT group score (42.81± 13.26).Conclusion: These results indicate that children with ADHD do not constitute a neurophysiologically homogenous group. Children with QEEG subtype B (elevated slow frequency) may be difficult to distinguish from normal children using the K-ARS, which is the most common screening tool for ADHD. Moreover, parents of children with this subtype may be less sensitive to observing ADHD symptoms.Keywords: attention-deficit/hyperactivity disorder, quantitative electroencephalography, subtype, clinical characteristics

Objectives Anxiety disorders are the most common psychiatric disorders in adolescents and seem to occur the earliest among all forms of psychopathology. The aim of this study was to investigate the association of anxiety severity with health risk behaviors and mental health in adolescents. Methods Data from the 2020 Korean Youth Risk Behavior Web-Based Survey were analyzed. A total of 54948 adolescents responded to the 7-item Generalized Anxiety Disorder Scale (GAD-7) for the assessment of their anxiety severity as well as to the mental health and health risk behavior survey. Logistic regression analysis, t tests, and variance analysis of a complex sample general linear model were used to examine the association of anxiety severity with health behaviors and mental health. Results After statistical adjustment for sociodemographic characteristics, the subjects in the severe anxiety group were significantly more likely to be current smokers (odds ratio [OR]: 2.08, 95% confidence interval [CI]: 1.72-2.50), current drinkers (OR: 1.91, 95% CI: 1.67-2.19), experience habitual substance use (OR: 10.89, 95% CI: 8.22-14.42), have sexual intercourse (OR: 2.10, 95% CI: 1.76-2.51), and have unprotected intercourse (OR: 2.21, 95% CI: 1.67-2.92) than those in the normal group. Anxiety severity negatively correlated with sleep satisfaction and happiness, but positively correlated with stress perception, loneliness, depressive symptoms, and suicidality. Conclusion Adolescent anxiety is associated with health risk behaviors and poor mental health. Thus, early screening and intervention for anxiety in adolescents could contribute to the management and coping of youth health risk behaviors in the community.