In a cross sectional study of 13,837 university students, we aimed to explore the association between attention deficit hyperactivity disorder (ADHD) symptoms and lifetime psychoactive substance use (LPSU) on a wide range of illicit substances. Logistic and Hurdel multivariable regressions were used. ADHD symptoms were significantly associated with the lifetime use of ketamine, magic mushrooms, poppers, and nine other psychoactive substances. There was an association between ADHD symptoms and both LPSU and truncated count of lifetime psychoactive substance use. High levels of ADHD symptoms are associated with the use of a large variety and multiple LPSU.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.psychres.2023.115489 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Trends, characteristics, and outcomes of pregnancy in women with attention-deficit hyperactivity disorder: A nationwide analysis.
Eur J Obstet Gynecol Reprod Biol
January 2025
Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Southern California, Los Angeles, CA, USA; Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Los Angeles General Medical Center, Los Angeles, CA, USA; Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA. Electronic address:
Objective: To assess clinical and obstetric characteristics associated with pregnant patients with a diagnosis of attention-deficit hyperactivity disorder (ADHD).
Methods: This serial cross-sectional study queried the Agency of Healthcare Research and Quality's Healthcare Cost and Utilization Project National Inpatient Sample. The study population was 16,759,786 hospital deliveries from 2016 to 2020.
Detecting noncredible symptomology in ADHD evaluations using machine learning.
J Clin Exp Neuropsychol
January 2025
Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, IL, USA.
Introduction: Diagnostic evaluations for attention-deficit/hyperactivity disorder (ADHD) are becoming increasingly complicated by the number of adults who fabricate or exaggerate symptoms. Novel methods are needed to improve the assessment process required to detect these noncredible symptoms. The present study investigated whether unsupervised machine learning (ML) could serve as one such method, and detect noncredible symptom reporting in adults undergoing ADHD evaluations.
View Article and Find Full Text PDFAttention Deficit Hyperactivity Disorder in Girls and the Risk of Unplanned Pregnancies.
Children (Basel)
January 2025
Department of Obstetrics and Gynecology, Carol Davila University of Medicine and Pharmacy, 020021 Bucharest, Romania.
Background/objectives: Although ADHD in adults has become visible and inclusive in recent years in diagnostic manuals, research is still limited regarding the long-term outcomes of patients with this disorder. The main objective of this research was to address the many facets of predictor variables in girls with ADHD facing unplanned pregnancies at young ages in order to improve the management of pre-, peri-, and postnatal complications that may occur, as well as for early psychiatric diagnosis and effective intervention.
Methods: PubMed and Web of Science Databases were used to perform literature research, and a total of 27 records were selected and used for data extraction.
Neurodevelopmental Disorders and Connective Tissue-Related Symptoms: An Exploratory Case-Control Study in Children.
Children (Basel)
December 2024
Department of Surgery, Dentistry, Paediatrics and Gynaecology, University of Verona, 37126 Verona, Italy.
: Autism spectrum disorder (ASD), attention deficit hyperactivity disorder (ADHD), and Tourette syndrome (TS) are neurodevelopmental disorders (NDDs) with overlapping symptoms, suggesting a partially shared genetic origin. This study investigates the prevalence of connective tissue-related conditions in individuals with ASD, ADHD, or TS. : A questionnaire was administered to families of 120 individuals with ASD, ADHD, or TS, collecting sociodemographic data and examining 10 types of disorders affecting various organs and systems.
View Article and Find Full Text PDFExplainable Artificial Intelligence for Predicting Attention Deficit Hyperactivity Disorder in Children and Adults.
Healthcare (Basel)
January 2025
Research, Development, and Innovation Laboratory, Mundiapolis University, Casablanca 20180, Morocco.
Attention Deficit Hyperactivity Disorder (ADHD) is a disorder that starts in childhood, sometimes persisting into adulthood. It puts a strain on their social, professional, family, and environmental lives, which can exacerbate disorders such as anxiety, depression, and bipolar disorder. : This paper aims to predict ADHD in children and adults and explain the main factors impacting this disorder.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!