Background: Childhood familiarity with (knowledge of) substances is a potentially important, currently understudied adolescent substance use risk factor. We aimed to describe changes in childhood familiarity with substances and to test whether baseline familiarity predicts early adolescent substance use.
Methods: Utilizing the Substance Use Module of the longitudinal cohort study, Adolescent Brain Cognitive Development (ABCD; US youth aged 9-10 years followed for 10 years) through Data Release 4 (n=7896; individuals who completed all six assessments in the first three years), we conducted longitudinal mixed models and survival analyses to describe changes in familiarity and to determine the adjusted odds of substance use by age 13 based on number of familiar substances at baseline.
Results: The sample consisted of 3754 females and 4142 males, aged 9-10 at baseline, with majority White individuals (68.9%). Unconditional time models indicated age significantly predicted familiarity (B=0.08, p<0.001; R=0.288) with ~3.59 familiar substances at 9 years increasing to ~7.43 substances at 13 years. Family history, home use, peer use, and neighborhood availability predicted familiarity, accounting for 1% of additional variance (R=0.299; ∆R=0.011). For each additional familiar substance at baseline, adjusted odds of future use increased 1.28 times (95% CI 1.22, 1.34).
Conclusions: This is the first study to characterize substance familiarity in this age range as a predictor of future substance use. Familiarity increases with age (age being the most predictive indicator). Familiarity at age 9-10 predicts early adolescent substance use. As such, childhood familiarity may represent an easily implemented screening tool for at-risk youth.
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http://dx.doi.org/10.1016/j.drugalcdep.2023.110892 | DOI Listing |
Drug Alcohol Depend
December 2024
Center for Tobacco Control Research and Education, University of California San Francisco, 95 Kirkham Street Box 1361, San Francisco, CA 94143, United States.
Unlabelled: Use of electronic cigarette (vaping) devices, whether to inhale nicotine, cannabis, or other substances, may pose health risks to adolescents. Those risks could be heightened when a vaping device is "fake," a term we use to include inauthentic, knockoff, counterfeit, and/or adulterated devices, an issue exemplified by the Electronic Cigarette, or Vaping, Product Use-Associated Lung Injury (EVALI) outbreak of 2019-2020.
Methods: Investigators completed in-depth, semi-structured interviews in 2020-2021 with 47 California adolescents (ages 13-17) who used nicotine products.
J Pediatr Psychol
December 2024
Division of General Internal Medicine and Health Services Research, David Geffen School of Medicine at the University of California, Los Angeles (UCLA), Los Angeles, CA, United States.
Objective: Adolescents and young adults with chronic diseases face unique challenges during the college years and may consume alcohol and other substances to cope with stressors. This study aimed to assess the patterns of substance use and to determine psychosocial correlates of these behaviors among college youth with type 1 diabetes (T1D).
Methods: College youth with T1D were recruited via social media and direct outreach into a web-based study.
J Rural Health
January 2025
Drug Use & Behavior Lab, Department of Health Behavior, School of Public Health, University of Alabama at Birmingham, Birmingham, USA.
Background: Recent legislative initiatives in the United States have focused on the medical and legal status of psychedelics, prompting interest in understanding public perceptions of their risks. This study investigates rural-urban differences in the perception of LSD and cannabis risks using national survey data.
Methods: Data from the National Survey of Drug Use and Health (NSDUH) between 2015 and 2021 were analyzed.
Dev 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.
View Article and Find Full Text PDFInt J Methods Psychiatr Res
March 2025
Mental Health, Health Care and Social Welfare, Finnish Institute for Health and Welfare (THL), Helsinki, Finland.
Objectives: We implemented the first national patient experience survey, with novel patient-reported experience measures (PREMs), in out- and inpatient mental health and substance use services in Finland.
Methods: The Outpatient Experience Scale (OPES) and the Inpatient Experience Scale (IPES) were co-designed with experts by experience and professionals. The survey was carried out in 2021 in 435 treatment facilities.
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