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It has been suggested that neurotrophins are involved in the etiopathogenesis of attention-deficit/hyperactivity disorder (ADHD). This study aimed to investigate whether there are differences in serum brain-derived neurotrophic factor (BDNF), glial-derived neurotrophic factor (GDNF), nerve growth factor (NGF), and neurotrophin-3 (NTF3) levels between children with ADHD and healthy controls. A total of 110 treatment-naive children with the combined presentation of ADHD and 44 healthy controls aged 8-18 years were enrolled in this study. The severity of ADHD symptoms was determined by scores on the Conners' Parent Rating Scale-Revised Short and Conners' Teacher Rating Scale-Revised Short. The severity of depression and anxiety symptoms of the children were evaluated by the self-report inventories. Serum levels of neurotrophins were measured using commercial enzyme-linked immunosorbent assay kits. The multivariate analysis of covariance (MANCOVA) revealed a significant main effect of groups in the levels of serum neurotrophins, an effect that was independent of age, sex, and the severity of the depression and anxiety. The analysis of covariance (ANCOVA) indicated that the mean serum GDNF and NTF3 levels of ADHD patients were significantly higher than that of controls. However, serum BDNF and NGF levels did not show any significant differences between groups. No correlations between the levels of serum neurotrophins and the severity of ADHD were observed. These results suggest that elevated serum GDNF and NTF3 levels may be related to ADHD in children.

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These results suggest that attention deficit and playing online games are important determinants of IA in this age group.

To examine the association of health and hospital workers' fears of coronavirus disease 2019 (COVID‐19) with anxiety, anxiety sensitivity, depression, and sociodemographic variables during the COVID‐19 pandemic. A total of 527 participants (237 men/289 women) were included, 222 of the participants were doctors, 99 nurses, 22 assistant health personnel, and 182 hospital personnel without health education. Participants filled in the sociodemographic data form, Beck Depression Inventory, Beck Anxiety Inventory, Anxiety Sensitivity Index‐3, and Fear of COVID‐19 Inventory. In linear regression analysis, independent predictors of the fear of COVID‐19 were determined as Beck Anxiety Inventory ( p < 0.001), Beck Depression Inventory ( p = 0.001), and Anxiety Sensitivity Index‐3 Physical subscale ( p = 0.001). The fear of COVID‐19 is associated with the physical subscale of anxiety, depression, and anxiety sensitivity.

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