Objective: to determine the incidence and associations of attention deficit-hyperactivity disorder (ADHD), conduct disorder (CD), and substance abuse disorder (SAD) in adolescents in conflict with the law in a Brazilian cohort.
Methods: the Brazilian version of the Schedule for Affective Disorders and Schizophrenia for School Aged-Children (K-SADS-PL) was administered to 69 adolescent boys who were incarcerated for 45 days in the city of Curitiba, Brazil.
Results: mean age was 15.5 years (range, 12-16.9 years) and most adolescents originated from disadvantaged social classes (87%). They resided in neighborhoods on the outskirts of the city or towns in the greater metropolitan area. Truancy and low educational achievement were common, with 73.9% not currently attending school and 43.4% not having finished the 5th grade. The great majority lived in single-parent families and many had relatives who themselves had problems with the law. Psychiatric disorders were apparent in 81.1% of the subjects, with the most common disorders being CD (59.4%), SAD (53.6%), and ADHD (43.5%). Both ADHD (p <0.001) and CD (p <0.01) had significant associations with substance abuse.
Conclusion: in male adolescents in conflict with the law, ADHD, CD, and SAD were all found to be associated with delinquency.
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http://dx.doi.org/10.1590/1806-9282.61.01.051 | DOI Listing |
Ann Med
December 2025
Department of Anatomy, College of Medicine, King Khalid University, Abha, Saudi Arabia.
Background: Substance use disorders are multifaceted conditions influenced by both genetic and environmental factors. Serotonergic pathways are known to be involved in substance use disorder susceptibility, with genetic markers within serotonin receptor genes identified as potential risk factors.
Methods: To further explore this relationship, we conducted a study to investigate the association between several polymorphisms in five serotonin receptor genes (, , ) and substance use disorders (SUD) in Jordanian males by sequencing genotypes in 496 SUD patients and 496 healthy controls.
Methamphetamine (METH) is a highly addictive and dangerous drug that mainly affects neurotransmitters in the brain and leads to feelings of alertness and euphoria. The METH use can lead to addiction, which has become a worldwide problem, resulting in a slew of public health and safety issues. Recent studies showed that chronic METH use can lead to neurotoxicity, neuro-inflammation and oxidative stress which can lead to neuronal injury.
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December 2024
Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, 55905, USA.
Alcohol use disorder (AUD) is a chronic relapsing brain disorder characterized by an impaired ability to stop or control alcohol consumption despite adverse social, occupational, or health consequences. AUD affects nearly one-third of adults at some point during their lives, with an associated cost of approximately $249 billion annually in the U.S.
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December 2024
Pistachio Safety Research Center, Rafsanjan University of Medical Sciences, Rafsanjan, Iran.
Previous studies have reported inconsistent findings regarding paternal addiction to cigarettes, alcohol, and opium with psychological distress in youths. This study examined the association between paternal addiction to cigarettes, alcohol, and opium and the psychological distress of youths in southeast Iran. This cross-sectional study was conducted on 895 youths (aged 15-35) from the baseline phase of the Rafsanjan Youth Cohort Study (RYCS) whose fathers also participated in the Rafsanjan Cohort Study (RCS).
View Article and Find Full Text PDFDev Cogn Neurosci
December 2024
PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway; Center for Precision Psychiatry, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Division of Mental Health and Substance Abuse, Diakonhjemmet Hospital, Oslo, Norway.
Detecting errors and adapting behavior accordingly constitutes an integral aspect of cognition. Previous studies have linked neural correlates of error processing (e.g.
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