Brian D'Onofrio

Brian D'Onofrio

Affiliated to Research
Visiting address: Nobels väg 12a, 17165 Solna
Postal address: C8 Medicinsk epidemiologi och biostatistik, C8 MEB Lichtenstein, 171 77 Stockholm

About me

  • I have been collaborating extensively with researchers at the Department of
    Medical Epidemiology and Biostatistics [1] for over 15 years. After a five
    year period (the longest possible tenure) as a guest professor in the
    department (2016-2022), I continue to maintain strong collaborations at
    Karolinska Institutet as an affiliated researcher.
    2004-2005 *Harvard Medical School / Children’s Hospital Boston – Boston,
    MA*
    APA-Accredited Predoctoral Clinical Internship
    1999-2005 *University of Virginia - Charlottesville, VA*
    Doctorate in Clinical
    Psychology
    1997-1999 *Virginia Commonwealth University - Richmond, VA *
    * * Graduate Courses in Statistics and Behavior
    Genetics
    1993-1997 *University of Virginia (UVA) - Charlottesville, VA*
    Bachelor of Arts in Distinguished Majors
    Psychology Program, minor in Religious Studies - Graduated Summa Cum Laude
    [1] http://ki.se/en/meb/startpage

Research

  • My research seeks to understand the etiology, treatment, and assessment of
    mental health and substance use problems. In particular, my research
    leverages translational epidemiologic methods to (a) better understand the
    processes that account for the associations between putative causal risk
    factors and health problems and (b) evaluate real-world interventions. First,
    my research specifically explores the etiology and treatment of mental health
    and substance use problems with large-scale epidemiologic datasets (e.g.,
    Swedish national registers and health insurance claims datasets in the United
    States) using advanced research designs and statistical analyses.
    I use family-based approaches (e.g., comparisons of differentially exposed
    siblings, twins, and offspring of twins) and advanced epidemiologic designs
    (e.g., quantitative genetic models, negative controls, active comparators,
    etc.) because the designs enable researchers to pull apart co-occurring
    processes and rigorously test competing hypotheses. I have written
    extensively about the advantages and disadvantages of the designs, and I have
    used these designs to test numerous risk factors, including pregnancy-related
    exposures (e.g., smoking, alcohol use, stress, and medication use during
    pregnancy). Second, I use longitudinal analyses of data in the large-scale
    registers to study risk factors across time and across the lifespan. For
    example, I have used within-individual comparisons and other advanced
    pharmacoepidedmiologic designs to study the risks and benefits of psychiatric
    (e.g., ADHD pharmacotherapy) and analgesic (e.g., opioids and gabapentinoids)
    medications, especially for rare-but-serious problems, such as drug
    overdoses, suicidal behavior, and traumatic brain injuries.
    *Academic Positions*
    Department of Psychological and Brain Sciences/Indiana University -
    Bloomington, Indiana, USA
    2014-Present: Full Professor & Director of Clinical Training (Clinical
    Science Program)
    2011-2014: Associate Professor
    2005-2011: Assistant Professor
    *Key publications*
    Accounting for Confounding in Observational Studies. [1]
    D'Onofrio BM, Sjölander A, Lahey BB, Lichtenstein P, Öberg AS
    /Annu Rev Clin Psychol 2020 05
  • 16():25-48/
    Critical need for family-based, quasi-experimental designs in integrating
    genetic and social science research. [2]
    D'Onofrio BM, Lahey BB, Turkheimer E, Lichtenstein P
    /Am J Public Health 2013 Oct
  • 103 Suppl 1():S46-55/
    Familial confounding of the association between maternal smoking during
    pregnancy and offspring substance use and problems. [3]
    D'Onofrio BM, Rickert ME, Langström N, Donahue KL, Coyne CA, Larsson H,
    Ellingson JM, Van Hulle CA, Iliadou AN, Rathouz PJ, Lahey BB, Lichtenstein
    P. /Arch Gen Psychiatry 2012 Nov
  • 69(11):1140-50/
    Preterm birth and mortality and morbidity: a population-based
    quasi-experimental study. [4]
    D'Onofrio BM, Class QA, Rickert ME, Larsson H, Långström N, Lichtenstein P
    /JAMA Psychiatry 2013 Nov
  • 70(11):1231-40/
    Attention-Deficit/Hyperactivity Disorder Medication and Unintentional
    Injuries in Children and Adolescents. [5]
    Ghirardi L, Larsson H, Chang Z, Chen Q, Quinn PD, Hur K, Gibbons RD,
    D'Onofrio BM
    /J Am Acad Child Adolesc Psychiatry 2020 08
  • 59(8):944-951/
    ADHD Medication and Substance-Related Problems. [6]
    Quinn PD, Chang Z, Hur K, Gibbons RD, Lahey BB, Rickert ME, Sjölander A,
    Lichtenstein P, Larsson H, D'Onofrio BM
    /Am J Psychiatry 2017 09
  • 174(9):877-885/
    Incident and long-term opioid therapy among patients with psychiatric
    conditions and medications: a national study of commercial health care
    claims. [7]
    Quinn PD, Hur K, Chang Z, Krebs EE, Bair MJ, Scott EL, Rickert ME, Gibbons
    RD, Kroenke K, D'Onofrio BM
    /Pain 2017 01
  • 158(1):140-148/
    Associations of opioid prescription dose and discontinuation with risk of
    substance-related morbidity in long-term opioid therapy. [8]
    Quinn PD, Chang Z, Bair MJ, Rickert ME, Gibbons RD, Kroenke K, D'Onofrio BM
    /Pain 2022 Apr
  • 163(4):e588-e595/
    Associations of Maternal Antidepressant Use During the First Trimester of
    Pregnancy With Preterm Birth, Small for Gestational Age, Autism Spectrum
    Disorder, and Attention-Deficit/Hyperactivity Disorder in Offspring. [9]
    Sujan AC, Rickert ME, Öberg AS, Quinn PD, Hernández-Díaz S, Almqvist C,
    Lichtenstein P, Larsson H, D'Onofrio BM
    /JAMA 2017 04
  • 317(15):1553-1562/
    [1] https://pubmed.ncbi.nlm.nih.gov/32384000
    [2] https://www.ncbi.nlm.nih.gov/pubmed/23927516
    [3] https://www.ncbi.nlm.nih.gov/pubmed/23117635
    [4] https://www.ncbi.nlm.nih.gov/pubmed/24068297
    [5] https://pubmed.ncbi.nlm.nih.gov/31302218
    [6] https://pubmed.ncbi.nlm.nih.gov/28659039
    [7] https://www.ncbi.nlm.nih.gov/pubmed/27984526
    [8] https://pubmed.ncbi.nlm.nih.gov/34326295
    [9] https://pubmed.ncbi.nlm.nih.gov/28418479

Articles

All other publications

Employments

  • Affiliated to Research, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 2021-2024

Supervisor

  • Ralf Kuja-Halkola, Twin and family studies on the development of cognitive and externalizing problems.

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