Attention-Deficit/Hyperactivity Disorder (ADHD), characterized by clinical diversity, poses diagnostic challenges often reliant on subjective assessments. Metabolomics presents an objective approach, seeking biomarkers for precise diagnosis and targeted interventions. This review synthesizes existing metabolomic insights into ADHD, aiming to reveal biological mechanisms and diagnostic potentials. A thorough PubMed and Web of Knowledge search identified studies exploring blood/urine metabolites in ADHD-diagnosed or psychometrically assessed children and adolescents. Synthesis revealed intricate links between ADHD and altered amino acid metabolism, neurotransmitter dysregulation (especially dopamine and serotonin), oxidative stress, and the kynurenine pathway impacting neurotransmitter homeostasis. Sleep disturbance markers, notably in melatonin metabolism, and stress-induced kynurenine pathway activation emerged. Distinct metabolic signatures, notably in the kynurenine pathway, show promise as potential diagnostic markers. Despite limitations like participant heterogeneity, this review underscores the significance of integrated therapeutic approaches targeting amino acid metabolism, neurotransmitters, and stress pathways. While guiding future research, this overview of the metabolomic findings in ADHD suggests directions for precision diagnostics and personalized ADHD interventions.

Background: Suicidal behavior (SB) and non-suicidal self-injury (NSSI) are significant public health concerns among adolescents. The COVID-19 pandemic may have exacerbated these issues. Methods: This retrospective cohort study analyzed data from 341 adolescents (aged 6–18 years) presenting to a Romanian pediatric psychiatry emergency department during the years 2019 (pre-pandemic) and 2022 (post-pandemic). All participants underwent a thorough psychiatric assessment, and, together with their caregivers, were questioned on a wide range of potentially relevant issues, such as family, social, school, and life history factors. Logistic regression and random forest models were used to identify predictors of SB and NSSI. Results: SB was significantly predicted in regression models based on a prior suicidal ideation (OR = 68.410; p < 0.001), having a parent living abroad (OR = 11.438; p = 0.020), depression (OR = 6.803; p < 0.001), and conflicts with peers (OR = 0.325, p = 0.042), teachers (OR = 0.119, p = 0.024), or both (OR = 0.166, p = 0.012). The random forest model featured a slightly different order of the main predictors and highlighted the importance of additional predictors, such as prior suicide attempts, gender, and past non-suicidal self-injury. NSSI was mainly predicted by a history of self-harm (OR = 52.437; p < 0.001), the number of comorbid psychiatric disorders (OR = 1.709; p = 0.003), and conduct disorder (OR = 0.184; p < 0.001), to which are added, according to random forest models, new predictors, such as borderline personality disorder, suicidal ideation, and school performance. Post-pandemic increases were observed in depression, suicidal ideation, and possible psycho-traumatic negative life event exposure. Conclusions: This study underscores the complex interplay of individual, familial, and societal factors influencing adolescent self-harm. Comprehensive interventions are needed, with early intervention crucial for those with a history of self-harm. Further research using prospective designs is recommended.

Background: The relationship between screen time and mental health among adolescents, particularly those identified as “digital natives”, has become increasingly pertinent, especially in the context of heightened digital engagement during the COVID-19 pandemic. This study aims to examine the associations between digital engagement patterns, ADHD severity, and anxiety symptoms in adolescents aged 11–18. Methods: A cross-sectional observational study was conducted with a sample of 97 adolescents diagnosed with ADHD. Participants completed validated questionnaires assessing daily digital activities and anxiety symptoms while caregivers provided additional contextual information. Data were analyzed using Random Forest regression to identify relationships between screen time, ADHD severity, and anxiety symptoms. Results: The findings indicate an average screen time of 6.6 h on weekdays and 8.1 h on weekends, with social media emerging as the primary activity, particularly among female participants. Notable gender differences were identified, with family dynamics influencing digital engagement; family disputes had a more significant impact on girls than boys. Furthermore, specific anxiety traits, i.e., physical symptoms and harm avoidance, significantly predicted time spent on social media across all genders considered in the study, while others, namely social anxiety and separation anxiety, were less valuable. Conclusions: This study highlights the complex interplay between screen time, ADHD, and anxiety symptoms in adolescents. These findings underscore the importance of tailored interventions that address the nuanced relationships between digital engagement and mental health in this population, warranting further research to develop effective management strategies.

This systematic review and meta-analysis aimed to quantify differences in parenting practices between families of children with attention-deficit/hyperactivity disorder (ADHD) and typically developing controls. We conducted a systematic review and meta-analysis of studies comparing parenting practices among children and adolescents (≤18 years) with a specialist-confirmed ADHD diagnosis and non-clinical controls. PubMed, PsycINFO, Web of Science, and Scopus were searched from inception through August 12, 2025, without language restrictions. Studies were eligible if they used validated instruments to assess at least one parenting dimension and reported comparative data. Sixty-two studies were included (N = 13,105; ADHD = 6,543; controls = 6,562) from 19 countries. We computed pooled standardized mean differences (Hedges' g) using random-effects models and evaluated heterogeneity (Q and I²), 95% prediction intervals, and risk of bias (Newcastle-Ottawa Scale). Meta-regression and subgroup analyses examined potential moderators. Parents of children with ADHD showed significantly lower levels of positive parenting (g = -0.37, 95% CI -0.46 to -0.27) and higher levels of negative parenting (g = 0.47, 95% CI 0.39 to 0.56) than controls. Strongest effects were found for authoritative parenting (g = -0.56), warmth (g = -0.45), abuse (g = 0.60), family conflict (g = 0.52), and hostility (g = 0.51). Heterogeneity was high (I² ≥ 90%), and no consistent moderators or small-study effects were identified. Parenting differs significantly between families of children with and without ADHD. Interventions should promote structured, warm, and non-coercive parenting. High heterogeneity and cross-sectional designs limit causal inference.