1
|
Vanyukov M. The misnomer of substance use "stigma": Beneficial disapproval should not be conflated with mistreatment of users. ADDICTION RESEARCH & THEORY 2023; 32:101-103. [PMID: 38523740 PMCID: PMC10957147 DOI: 10.1080/16066359.2023.2283574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 11/10/2023] [Indexed: 03/26/2024]
|
2
|
Hasin DS, Shmulewitz D, Stohl M, Greenstein E, Aharonovich E, Petronis KR, Von Korff M, Datta S, Sonty N, Ross S, Inturrisi C, Weinberger ML, Scodes J, Wall MM. Diagnosing Prescription Opioid Use Disorder in Patients Using Prescribed Opioids for Chronic Pain. Am J Psychiatry 2022; 179:715-725. [PMID: 35702830 DOI: 10.1176/appi.ajp.21070721] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
OBJECTIVE The diagnostic criteria for opioid use disorder, originally developed for heroin, did not anticipate the surge in prescription opioid use and the resulting complexities in diagnosing prescription opioid use disorder (POUD), including differentiation of pain relief (therapeutic intent) from more common drug use motives, such as to get high or to cope with negative affect. The authors examined the validity of the Psychiatric Research Interview for Substance and Mental Disorders, DSM-5 opioid version, an instrument designed to make this differentiation. METHODS Patients (N=606) from pain clinics and inpatient substance treatment who ever received a ≥30-day opioid prescription for chronic pain were evaluated for DSM-5 POUD (i.e., withdrawal and tolerance were not considered positive if patients used opioids only as prescribed, per DSM-5 guidelines) and pain-adjusted POUD (behavioral/subjective criteria were not considered positive if pain relief [therapeutic intent] was the sole motive). Bivariate correlated-outcome regression models indicated associations of 10 validators with DSM-5 and pain-adjusted POUD measures, using mean ratios for dimensional measures and odds ratios for binary measures. RESULTS The prevalences of DSM-5 and pain-adjusted POUD, respectively, were 44.4% and 30.4% at the ≥2-criteria threshold and 29.5% and 25.3% at the ≥4-criteria threshold. Pain adjustment had little effect on prevalence among substance treatment patients but resulted in substantially lower prevalence among pain treatment patients. All validators had significantly stronger associations with pain-adjusted than with DSM-5 dimensional POUD measures (ratios of mean ratios, 1.22-2.31). For most validators, pain-adjusted binary POUD had larger odds ratios than DSM-5 measures. CONCLUSIONS Adapting POUD measures for pain relief (therapeutic intent) improved validity. Studies should investigate the clinical utility of differentiating between therapeutic and nontherapeutic intent in evaluating POUD diagnostic criteria.
Collapse
Affiliation(s)
- Deborah S Hasin
- Department of Psychiatry, Columbia University Medical Center (Hasin, Shmulewitz, Aharonovich, Scodes, Wall) and New York State Psychiatric Institute (Hasin, Shmulewitz, Stohl, Greenstein, Aharonovich, Scodes, Wall), New York; Epidemiology, Pfizer, Inc., New York (Petronis); Kaiser Permanente Washington Health Research Institute, Seattle (Von Korff); Department of Anesthesiology, Rutgers University, Newark, N.J. (Datta); Department of Anesthesiology, Columbia University Medical Center, New York (Sonty, Weinberger); Department of Psychiatry, New York University, New York (Ross); Cornell University Medical College, New York (Inturrisi)
| | - Dvora Shmulewitz
- Department of Psychiatry, Columbia University Medical Center (Hasin, Shmulewitz, Aharonovich, Scodes, Wall) and New York State Psychiatric Institute (Hasin, Shmulewitz, Stohl, Greenstein, Aharonovich, Scodes, Wall), New York; Epidemiology, Pfizer, Inc., New York (Petronis); Kaiser Permanente Washington Health Research Institute, Seattle (Von Korff); Department of Anesthesiology, Rutgers University, Newark, N.J. (Datta); Department of Anesthesiology, Columbia University Medical Center, New York (Sonty, Weinberger); Department of Psychiatry, New York University, New York (Ross); Cornell University Medical College, New York (Inturrisi)
| | - Malka Stohl
- Department of Psychiatry, Columbia University Medical Center (Hasin, Shmulewitz, Aharonovich, Scodes, Wall) and New York State Psychiatric Institute (Hasin, Shmulewitz, Stohl, Greenstein, Aharonovich, Scodes, Wall), New York; Epidemiology, Pfizer, Inc., New York (Petronis); Kaiser Permanente Washington Health Research Institute, Seattle (Von Korff); Department of Anesthesiology, Rutgers University, Newark, N.J. (Datta); Department of Anesthesiology, Columbia University Medical Center, New York (Sonty, Weinberger); Department of Psychiatry, New York University, New York (Ross); Cornell University Medical College, New York (Inturrisi)
| | - Eliana Greenstein
- Department of Psychiatry, Columbia University Medical Center (Hasin, Shmulewitz, Aharonovich, Scodes, Wall) and New York State Psychiatric Institute (Hasin, Shmulewitz, Stohl, Greenstein, Aharonovich, Scodes, Wall), New York; Epidemiology, Pfizer, Inc., New York (Petronis); Kaiser Permanente Washington Health Research Institute, Seattle (Von Korff); Department of Anesthesiology, Rutgers University, Newark, N.J. (Datta); Department of Anesthesiology, Columbia University Medical Center, New York (Sonty, Weinberger); Department of Psychiatry, New York University, New York (Ross); Cornell University Medical College, New York (Inturrisi)
| | - Efrat Aharonovich
- Department of Psychiatry, Columbia University Medical Center (Hasin, Shmulewitz, Aharonovich, Scodes, Wall) and New York State Psychiatric Institute (Hasin, Shmulewitz, Stohl, Greenstein, Aharonovich, Scodes, Wall), New York; Epidemiology, Pfizer, Inc., New York (Petronis); Kaiser Permanente Washington Health Research Institute, Seattle (Von Korff); Department of Anesthesiology, Rutgers University, Newark, N.J. (Datta); Department of Anesthesiology, Columbia University Medical Center, New York (Sonty, Weinberger); Department of Psychiatry, New York University, New York (Ross); Cornell University Medical College, New York (Inturrisi)
| | - Kenneth R Petronis
- Department of Psychiatry, Columbia University Medical Center (Hasin, Shmulewitz, Aharonovich, Scodes, Wall) and New York State Psychiatric Institute (Hasin, Shmulewitz, Stohl, Greenstein, Aharonovich, Scodes, Wall), New York; Epidemiology, Pfizer, Inc., New York (Petronis); Kaiser Permanente Washington Health Research Institute, Seattle (Von Korff); Department of Anesthesiology, Rutgers University, Newark, N.J. (Datta); Department of Anesthesiology, Columbia University Medical Center, New York (Sonty, Weinberger); Department of Psychiatry, New York University, New York (Ross); Cornell University Medical College, New York (Inturrisi)
| | - Michael Von Korff
- Department of Psychiatry, Columbia University Medical Center (Hasin, Shmulewitz, Aharonovich, Scodes, Wall) and New York State Psychiatric Institute (Hasin, Shmulewitz, Stohl, Greenstein, Aharonovich, Scodes, Wall), New York; Epidemiology, Pfizer, Inc., New York (Petronis); Kaiser Permanente Washington Health Research Institute, Seattle (Von Korff); Department of Anesthesiology, Rutgers University, Newark, N.J. (Datta); Department of Anesthesiology, Columbia University Medical Center, New York (Sonty, Weinberger); Department of Psychiatry, New York University, New York (Ross); Cornell University Medical College, New York (Inturrisi)
| | - Samyadev Datta
- Department of Psychiatry, Columbia University Medical Center (Hasin, Shmulewitz, Aharonovich, Scodes, Wall) and New York State Psychiatric Institute (Hasin, Shmulewitz, Stohl, Greenstein, Aharonovich, Scodes, Wall), New York; Epidemiology, Pfizer, Inc., New York (Petronis); Kaiser Permanente Washington Health Research Institute, Seattle (Von Korff); Department of Anesthesiology, Rutgers University, Newark, N.J. (Datta); Department of Anesthesiology, Columbia University Medical Center, New York (Sonty, Weinberger); Department of Psychiatry, New York University, New York (Ross); Cornell University Medical College, New York (Inturrisi)
| | - Nomita Sonty
- Department of Psychiatry, Columbia University Medical Center (Hasin, Shmulewitz, Aharonovich, Scodes, Wall) and New York State Psychiatric Institute (Hasin, Shmulewitz, Stohl, Greenstein, Aharonovich, Scodes, Wall), New York; Epidemiology, Pfizer, Inc., New York (Petronis); Kaiser Permanente Washington Health Research Institute, Seattle (Von Korff); Department of Anesthesiology, Rutgers University, Newark, N.J. (Datta); Department of Anesthesiology, Columbia University Medical Center, New York (Sonty, Weinberger); Department of Psychiatry, New York University, New York (Ross); Cornell University Medical College, New York (Inturrisi)
| | - Stephen Ross
- Department of Psychiatry, Columbia University Medical Center (Hasin, Shmulewitz, Aharonovich, Scodes, Wall) and New York State Psychiatric Institute (Hasin, Shmulewitz, Stohl, Greenstein, Aharonovich, Scodes, Wall), New York; Epidemiology, Pfizer, Inc., New York (Petronis); Kaiser Permanente Washington Health Research Institute, Seattle (Von Korff); Department of Anesthesiology, Rutgers University, Newark, N.J. (Datta); Department of Anesthesiology, Columbia University Medical Center, New York (Sonty, Weinberger); Department of Psychiatry, New York University, New York (Ross); Cornell University Medical College, New York (Inturrisi)
| | - Charles Inturrisi
- Department of Psychiatry, Columbia University Medical Center (Hasin, Shmulewitz, Aharonovich, Scodes, Wall) and New York State Psychiatric Institute (Hasin, Shmulewitz, Stohl, Greenstein, Aharonovich, Scodes, Wall), New York; Epidemiology, Pfizer, Inc., New York (Petronis); Kaiser Permanente Washington Health Research Institute, Seattle (Von Korff); Department of Anesthesiology, Rutgers University, Newark, N.J. (Datta); Department of Anesthesiology, Columbia University Medical Center, New York (Sonty, Weinberger); Department of Psychiatry, New York University, New York (Ross); Cornell University Medical College, New York (Inturrisi)
| | - Michael L Weinberger
- Department of Psychiatry, Columbia University Medical Center (Hasin, Shmulewitz, Aharonovich, Scodes, Wall) and New York State Psychiatric Institute (Hasin, Shmulewitz, Stohl, Greenstein, Aharonovich, Scodes, Wall), New York; Epidemiology, Pfizer, Inc., New York (Petronis); Kaiser Permanente Washington Health Research Institute, Seattle (Von Korff); Department of Anesthesiology, Rutgers University, Newark, N.J. (Datta); Department of Anesthesiology, Columbia University Medical Center, New York (Sonty, Weinberger); Department of Psychiatry, New York University, New York (Ross); Cornell University Medical College, New York (Inturrisi)
| | - Jennifer Scodes
- Department of Psychiatry, Columbia University Medical Center (Hasin, Shmulewitz, Aharonovich, Scodes, Wall) and New York State Psychiatric Institute (Hasin, Shmulewitz, Stohl, Greenstein, Aharonovich, Scodes, Wall), New York; Epidemiology, Pfizer, Inc., New York (Petronis); Kaiser Permanente Washington Health Research Institute, Seattle (Von Korff); Department of Anesthesiology, Rutgers University, Newark, N.J. (Datta); Department of Anesthesiology, Columbia University Medical Center, New York (Sonty, Weinberger); Department of Psychiatry, New York University, New York (Ross); Cornell University Medical College, New York (Inturrisi)
| | - Melanie M Wall
- Department of Psychiatry, Columbia University Medical Center (Hasin, Shmulewitz, Aharonovich, Scodes, Wall) and New York State Psychiatric Institute (Hasin, Shmulewitz, Stohl, Greenstein, Aharonovich, Scodes, Wall), New York; Epidemiology, Pfizer, Inc., New York (Petronis); Kaiser Permanente Washington Health Research Institute, Seattle (Von Korff); Department of Anesthesiology, Rutgers University, Newark, N.J. (Datta); Department of Anesthesiology, Columbia University Medical Center, New York (Sonty, Weinberger); Department of Psychiatry, New York University, New York (Ross); Cornell University Medical College, New York (Inturrisi)
| |
Collapse
|
3
|
Krueger RF, Kotov R, Watson D, Forbes MK, Eaton NR, Ruggero CJ, Simms LJ, Widiger TA, Achenbach TM, Bach B, Bagby RM, Bornovalova MA, Carpenter WT, Chmielewski M, Cicero DC, Clark LA, Conway C, DeClercq B, DeYoung CG, Docherty AR, Drislane LE, First MB, Forbush KT, Hallquist M, Haltigan JD, Hopwood CJ, Ivanova MY, Jonas KG, Latzman RD, Markon KE, Miller JD, Morey LC, Mullins-Sweatt SN, Ormel J, Patalay P, Patrick CJ, Pincus AL, Regier DA, Reininghaus U, Rescorla LA, Samuel DB, Sellbom M, Shackman AJ, Skodol A, Slade T, South SC, Sunderland M, Tackett JL, Venables NC, Waldman ID, Waszczuk MA, Waugh MH, Wright AG, Zald DH, Zimmermann J. Les progrès dans la réalisation de la classification quantitative de la psychopathologie ☆. ANNALES MEDICO-PSYCHOLOGIQUES 2021; 179:95-106. [PMID: 34305151 PMCID: PMC8309948 DOI: 10.1016/j.amp.2020.11.015] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Shortcomings of approaches to classifying psychopathology based on expert consensus have given rise to contemporary efforts to classify psychopathology quantitatively. In this paper, we review progress in achieving a quantitative and empirical classification of psychopathology. A substantial empirical literature indicates that psychopathology is generally more dimensional than categorical. When the discreteness versus continuity of psychopathology is treated as a research question, as opposed to being decided as a matter of tradition, the evidence clearly supports the hypothesis of continuity. In addition, a related body of literature shows how psychopathology dimensions can be arranged in a hierarchy, ranging from very broad "spectrum level" dimensions, to specific and narrow clusters of symptoms. In this way, a quantitative approach solves the "problem of comorbidity" by explicitly modeling patterns of co-occurrence among signs and symptoms within a detailed and variegated hierarchy of dimensional concepts with direct clinical utility. Indeed, extensive evidence pertaining to the dimensional and hierarchical structure of psychopathology has led to the formation of the Hierarchical Taxonomy of Psychopathology (HiTOP) Consortium. This is a group of 70 investigators working together to study empirical classification of psychopathology. In this paper, we describe the aims and current foci of the HiTOP Consortium. These aims pertain to continued research on the empirical organization of psychopathology; the connection between personality and psychopathology; the utility of empirically based psychopathology constructs in both research and the clinic; and the development of novel and comprehensive models and corresponding assessment instruments for psychopathology constructs derived from an empirical approach.
Collapse
Affiliation(s)
- Robert F. Krueger
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Roman Kotov
- Department of Psychiatry, Stony Brook University, Stony Brook, NY, USA
| | - David Watson
- Department of Psychology, University of Notre Dame, Notre Dame, IN, USA
| | - Miriam K. Forbes
- Department of Psychology, Macquarie University, Sydney, NSW, Australia
| | - Nicholas R. Eaton
- Department of Psychology, Stony Brook University, Stony Brook, NY, USA
| | - Camilo J. Ruggero
- Department of Psychology, University of North Texas, Denton, TX, USA
| | - Leonard J. Simms
- Department of Psychology, University at Buffalo, State University of New York, New York, NY, USA
| | - Thomas A. Widiger
- Department of Psychology, University of Kentucky, Lexington, KY, USA
| | | | - Bo Bach
- Psychiatric Research Unit, Slagelse Psychiatric Hospital, Slagelse, Denmark
| | - R. Michael Bagby
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | | | | | | | - David C. Cicero
- Department of Psychology, University of Hawaii, Honolulu, HI, USA
| | - Lee Anna Clark
- Department of Psychology, University of Notre Dame, Notre Dame, IN, USA
| | - Christopher Conway
- Department of Psychology, College of William and Mary, Williamsburg, VA, USA
| | - Barbara DeClercq
- Department of Developmental, Personality, and Social Psychology, Ghent University, Ghent, Belgium
| | - Colin G. DeYoung
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Anna R. Docherty
- Department of Psychiatry, University of Utah, Salt Lake City, UT, USA
| | - Laura E. Drislane
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Michael B. First
- Department of Psychiatry, Columbia University, New York, NY, USA
| | | | - Michael Hallquist
- Department of Psychology, Pennsylvania State University, State College, PA, USA
| | - John D. Haltigan
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | | | - Masha Y. Ivanova
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | | | - Robert D. Latzman
- Department of Psychology, Georgia State University, Atlanta, GA, USA
| | | | - Joshua D. Miller
- Department of Psychology, University of Georgia, Athens, GA, USA
| | - Leslie C. Morey
- Department of Psychology, Texas A&M University, College Station, TX, USA
| | | | - Johan Ormel
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Praveetha Patalay
- Institute of Psychology, Health and Society, University of Liverpool, Liverpool, United Kingdom
| | | | - Aaron L. Pincus
- Department of Psychology, Pennsylvania State University, State College, PA, USA
| | - Darrel A. Regier
- Department of Psychiatry, Uniformed Services University, Bethesda, MD, USA
| | - Ulrich Reininghaus
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
| | | | - Douglas B. Samuel
- Department of Psychology, Purdue University, West Lafayette, IN, USA
| | - Martin Sellbom
- Department of Psychology, University of Otago, Dunedin, New Zealand
| | | | - Andrew Skodol
- Department of Psychiatry, University of Arizona, Tucson, AZ, USA
| | - Tim Slade
- National Drug and Alcohol Research Centre, University of New South Wales, Randwick, NSW, Australia
| | - Susan C. South
- Department of Psychology, Northwestern University, Evanston, IL, USA
| | - Matthew Sunderland
- National Drug and Alcohol Research Centre, University of New South Wales, Randwick, NSW, Australia
| | | | - Noah C. Venables
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | | | | | - Mark H. Waugh
- Oak Ridge National Laboratory, University of Tennessee, Oak Ridge, TN, USA
| | - Aidan G.C. Wright
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | - David H. Zald
- Department of Psychology, Vanderbilt University, Nashville, TN, USA
| | | |
Collapse
|
4
|
Hasin DS, Aharonovich E. Implications of Medical and Recreational Marijuana Laws for Neuroscience Research: a Review. Curr Behav Neurosci Rep 2020; 7:258-266. [PMID: 34336547 PMCID: PMC8323790 DOI: 10.1007/s40473-020-00222-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/05/2022]
Abstract
Purpose of Review Review of US medical and recreational marijuana laws (MML and RML), their effects on cannabis potency, prevalence of non-medical cannabis use and cannabis use disorder (CUD) in adolescents and adults, and implications for neuroscience research, given what is known about the relationship of cannabis to neurocognitive impairments and underlying brain functioning. Recent Findings Cannabis potency may be increasing faster in states with MML or RML than in other states. MML and RML have not impacted prevalence in adolescents but have consistently been shown to increase rates of adult non-medical use and CUD. Summary Recent neurocognitive or neuroimaging studies may be more impacted by cannabis than studies conducted when MML and RML were less common. Neurocognitive or neuroimaging studies conducted in MML or RML states should carefully test potential participants for recent cannabis use. More research is needed on cannabis and cognition in medical marijuana patients.
Collapse
Affiliation(s)
- Deborah S. Hasin
- Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 W 168th St, New York, NY 10032, USA
- New York State Psychiatric Institute, 1051 Riverside Dr, New York, NY 10032, USA
- Department of Psychiatry, Columbia University Medical Center, 1051 Riverside Dr, New York, NY 10032, USA
| | - Efrat Aharonovich
- New York State Psychiatric Institute, 1051 Riverside Dr, New York, NY 10032, USA
- Department of Psychiatry, Columbia University Medical Center, 1051 Riverside Dr, New York, NY 10032, USA
| |
Collapse
|
5
|
Atherton OE. Typical and atypical self‐regulation in adolescence: the importance of studying change over time. SOCIAL AND PERSONALITY PSYCHOLOGY COMPASS 2019. [DOI: 10.1111/spc3.12514] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
|
6
|
Sullivan RM, Perlman G, Moeller SJ. Meta-analysis of aberrant post-error slowing in substance use disorder: implications for behavioral adaptation and self-control. Eur J Neurosci 2019; 50:2467-2476. [PMID: 30383336 PMCID: PMC6494729 DOI: 10.1111/ejn.14229] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2018] [Revised: 09/28/2018] [Accepted: 10/08/2018] [Indexed: 11/30/2022]
Abstract
Individual with substance use disorders have well-recognized impairments in cognitive control, including in behavioral adaptation after mistakes. One way in which this impairment manifests is via diminished post-error slowing, the increase in reaction time following a task-related error that is posited to reflect cautionary or corrective behavior. Yet, in the substance use disorder literature, findings with regard to post-error slowing have been inconsistent, and thus could benefit from quantitative integration. Here, we conducted a meta-analysis of case-control studies examining post-error slowing in addiction. Twelve studies with 15 unique comparisons were identified, comprising 567 substance users and 384 healthy controls across three broad types of inhibitory control paradigms (go-no/go, conflict resolution, and stop signal tasks, respectively). Results of the random-effects meta-analysis revealed a moderate group difference across all studies (Cohen's d = 0.31), such that the individuals with substance use disorder had diminished post-error slowing compared with controls. Despite this omnibus effect, there was also large variability in the magnitude of the effects, explained in part by differences between studies in task complexity. These findings suggest that post-error slowing may serve as a promising and easy-to-implement measure of cognitive control impairment in substance use disorder, with potential links to aberrant brain function in cognitive control areas such as the anterior cingulate cortex.
Collapse
Affiliation(s)
- Ryan M. Sullivan
- Department of Psychiatry, Stony Brook University School of
Medicine
- Department of Psychology, University of
Wisconsin-Milwaukee
| | - Greg Perlman
- Department of Psychiatry, Stony Brook University School of
Medicine
| | - Scott J. Moeller
- Department of Psychiatry, Stony Brook University School of
Medicine
| |
Collapse
|
7
|
Atherton OE, Lawson KM, Ferrer E, Robins RW. The role of effortful control in the development of ADHD, ODD, and CD symptoms. J Pers Soc Psychol 2019; 118:1226-1246. [PMID: 30920279 DOI: 10.1037/pspp0000243] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Many adolescents have difficulty regulating their impulses and become prone to externalizing problems (e.g., attention-deficit/hyperactivity disorder [ADHD], oppositional defiant disorder [ODD], and conduct disorder [CD]) and other adverse consequences. Using multimethod data from a longitudinal study of Mexican-origin youth (N = 674), assessed annually from age 10 to 16, we examined the relations between effortful control and ADHD, ODD, and CD symptoms over time. Bivariate latent growth curve models showed negative correlations between the trajectories of effortful control and ADHD, ODD, and CD, indicating that steeper decreases in effortful control were related to steeper increases in ADHD, ODD, and CD symptoms. Using a novel statistical technique, the factor of curves model (FOCUS), we found that ADHD, ODD, and CD share a common "externalizing" trajectory during adolescence. Although effortful control was strongly associated with this common trajectory, it had few unique associations with the individual disorder trajectories, above and beyond their shared trajectory. When we extended the FOCUS model to include the effortful control trajectory as an indicator, we found that ADHD and ODD had strong loadings, whereas effortful control and CD had comparatively weak loadings on the shared developmental trajectory. Follow-up analyses showed that a two-factor solution, with externalizing symptom trajectories on one factor and the effortful control facet trajectories on a separate factor, was a better fit to the data than a one-factor solution. Finally, parent ASPD symptoms were related to increases in CD, but had no significant influence on effortful control, ADHD, or ODD. We discuss the implications for personality and externalizing problem development. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
Collapse
Affiliation(s)
| | | | - Emilio Ferrer
- Department of Psychology, University of California, Davis
| | | |
Collapse
|
8
|
Krueger RF, Kotov R, Watson D, Forbes MK, Eaton NR, Ruggero CJ, Simms LJ, Widiger TA, Achenbach TM, Bach B, Bagby RM, Bornovalova MA, Carpenter WT, Chmielewski M, Cicero DC, Clark LA, Conway C, DeClercq B, DeYoung CG, Docherty AR, Drislane LE, First MB, Forbush KT, Hallquist M, Haltigan JD, Hopwood CJ, Ivanova MY, Jonas KG, Latzman RD, Markon KE, Miller JD, Morey LC, Mullins-Sweatt SN, Ormel J, Patalay P, Patrick CJ, Pincus AL, Regier DA, Reininghaus U, Rescorla LA, Samuel DB, Sellbom M, Shackman AJ, Skodol A, Slade T, South SC, Sunderland M, Tackett JL, Venables NC, Waldman ID, Waszczuk MA, Waugh MH, Wright AGC, Zald DH, Zimmermann J. Progress in achieving quantitative classification of psychopathology. World Psychiatry 2018; 17:282-293. [PMID: 30229571 PMCID: PMC6172695 DOI: 10.1002/wps.20566] [Citation(s) in RCA: 244] [Impact Index Per Article: 40.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2018] [Revised: 06/13/2018] [Accepted: 06/13/2018] [Indexed: 12/13/2022] Open
Abstract
Shortcomings of approaches to classifying psychopathology based on expert consensus have given rise to contemporary efforts to classify psychopathology quantitatively. In this paper, we review progress in achieving a quantitative and empirical classification of psychopathology. A substantial empirical literature indicates that psychopathology is generally more dimensional than categorical. When the discreteness versus continuity of psychopathology is treated as a research question, as opposed to being decided as a matter of tradition, the evidence clearly supports the hypothesis of continuity. In addition, a related body of literature shows how psychopathology dimensions can be arranged in a hierarchy, ranging from very broad "spectrum level" dimensions, to specific and narrow clusters of symptoms. In this way, a quantitative approach solves the "problem of comorbidity" by explicitly modeling patterns of co-occurrence among signs and symptoms within a detailed and variegated hierarchy of dimensional concepts with direct clinical utility. Indeed, extensive evidence pertaining to the dimensional and hierarchical structure of psychopathology has led to the formation of the Hierarchical Taxonomy of Psychopathology (HiTOP) Consortium. This is a group of 70 investigators working together to study empirical classification of psychopathology. In this paper, we describe the aims and current foci of the HiTOP Consortium. These aims pertain to continued research on the empirical organization of psychopathology; the connection between personality and psychopathology; the utility of empirically based psychopathology constructs in both research and the clinic; and the development of novel and comprehensive models and corresponding assessment instruments for psychopathology constructs derived from an empirical approach.
Collapse
Affiliation(s)
- Robert F Krueger
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Roman Kotov
- Department of Psychiatry, Stony Brook University, Stony Brook, NY, USA
| | - David Watson
- Department of Psychology, University of Notre Dame, Notre Dame, IN, USA
| | - Miriam K Forbes
- Department of Psychology, Macquarie University, Sydney, NSW, Australia
| | - Nicholas R Eaton
- Department of Psychology, Stony Brook University, Stony Brook, NY, USA
| | - Camilo J Ruggero
- Department of Psychology, University of North Texas, Denton, TX, USA
| | - Leonard J Simms
- Department of Psychology, University at Buffalo, State University of New York, New York, NY, USA
| | - Thomas A Widiger
- Department of Psychology, University of Kentucky, Lexington, KY, USA
| | | | - Bo Bach
- Psychiatric Research Unit, Slagelse Psychiatric Hospital, Slagelse, Denmark
| | - R Michael Bagby
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | | | | | | | - David C Cicero
- Department of Psychology, University of Hawaii, Honolulu, HI, USA
| | - Lee Anna Clark
- Department of Psychology, University of Notre Dame, Notre Dame, IN, USA
| | - Christopher Conway
- Department of Psychology, College of William and Mary, Williamsburg, VA, USA
| | - Barbara DeClercq
- Department of Developmental, Personality, and Social Psychology, Ghent University, Ghent, Belgium
| | - Colin G DeYoung
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Anna R Docherty
- Department of Psychiatry, University of Utah, Salt Lake City, UT, USA
| | - Laura E Drislane
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Michael B First
- Department of Psychiatry, Columbia University, New York, NY, USA
| | - Kelsie T Forbush
- Department of Psychology, University of Kansas, Lawrence, KS, USA
| | - Michael Hallquist
- Department of Psychology, Pennsylvania State University, State College, PA, USA
| | - John D Haltigan
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | | | - Masha Y Ivanova
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - Katherine G Jonas
- Department of Psychiatry, Stony Brook University, Stony Brook, NY, USA
| | - Robert D Latzman
- Department of Psychology, Georgia State University, Atlanta, GA, USA
| | | | - Joshua D Miller
- Department of Psychology, University of Georgia, Athens, GA, USA
| | - Leslie C Morey
- Department of Psychology, Texas A&M University, College Station, TX, USA
| | | | - Johan Ormel
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Praveetha Patalay
- Institute of Psychology, Health and Society, University of Liverpool, Liverpool, UK
| | | | - Aaron L Pincus
- Department of Psychology, Pennsylvania State University, State College, PA, USA
| | - Darrel A Regier
- Department of Psychiatry, Uniformed Services University, Bethesda, MD, USA
| | - Ulrich Reininghaus
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | | | - Douglas B Samuel
- Department of Psychology, Purdue University, West Lafayette, IN, USA
| | - Martin Sellbom
- Department of Psychology, University of Otago, Dunedin, New Zealand
| | | | - Andrew Skodol
- Department of Psychiatry, University of Arizona, Tucson, AZ, USA
| | - Tim Slade
- National Drug and Alcohol Research Centre, University of New South Wales, Randwick, NSW, Australia
| | - Susan C South
- Department of Psychology, Purdue University, West Lafayette, IN, USA
| | - Matthew Sunderland
- National Drug and Alcohol Research Centre, University of New South Wales, Randwick, NSW, Australia
| | | | - Noah C Venables
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Irwin D Waldman
- Department of Psychology, Emory University, Atlanta, GA, USA
| | - Monika A Waszczuk
- Department of Psychiatry, Stony Brook University, Stony Brook, NY, USA
| | - Mark H Waugh
- Oak Ridge National Laboratory, University of Tennessee, Oak Ridge, TN, USA
| | - Aidan G C Wright
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | - David H Zald
- Department of Psychology, Vanderbilt University, Nashville, TN, USA
| | | |
Collapse
|
9
|
de Jonge P, Wardenaar KJ, Lim CCW, Aguilar-Gaxiola S, Alonso J, Andrade LH, Bunting B, Chatterji S, Ciutan M, Gureje O, Karam EG, Lee S, Medina-Mora ME, Moskalewicz J, Navarro-Mateu F, Pennell BE, Piazza M, Posada-Villa J, Torres Y, Kessler RC, Scott K. The cross-national structure of mental disorders: results from the World Mental Health Surveys. Psychol Med 2018; 48:2073-2084. [PMID: 29254513 PMCID: PMC6008201 DOI: 10.1017/s0033291717003610] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
BACKGROUND The patterns of comorbidity among mental disorders have led researchers to model the underlying structure of psychopathology. While studies have suggested a structure including internalizing and externalizing disorders, less is known with regard to the cross-national stability of this model. Moreover, little data are available on the placement of eating disorders, bipolar disorder and psychotic experiences (PEs) in this structure. METHODS We evaluated the structure of mental disorders with data from the World Health Organization Composite International Diagnostic Interview, including 15 lifetime mental disorders and six PEs. Respondents (n = 5478-15 499) were included from 10 high-, middle- and lower middle-income countries across the world aged 18 years or older. Confirmatory factor analyses (CFAs) were used to evaluate and compare the fit of different factor structures to the lifetime disorder data. Measurement invariance was evaluated with multigroup CFA (MG-CFA). RESULTS A second-order model with internalizing and externalizing factors and fear and distress subfactors best described the structure of common mental disorders. MG-CFA showed that this model was stable across countries. Of the uncommon disorders, bipolar disorder and eating disorder were best grouped with the internalizing factor, and PEs with a separate factor. CONCLUSIONS These results indicate that cross-national patterns of lifetime common mental-disorder comorbidity can be explained with a second-order underlying structure that is stable across countries and can be extended to also cover less common mental disorders.
Collapse
Affiliation(s)
- Peter de Jonge
- Developmental Psychology,Department of Psychology,Rijksuniversiteit Groningen,Groningen,Netherlands
| | - Klaas J Wardenaar
- Department of Psychiatry,Interdisciplinary Center Psychopathology and Emotion Regulation,University Medical Center Groningen,Groningen,Netherlands
| | - Carmen C W Lim
- Department of Psychological Medicine,University of Otago,Dunedin, Otago,New Zealand
| | - Sergio Aguilar-Gaxiola
- Center for Reducing Health Disparities,UC Davis Health System,Sacramento, California,USA
| | - Jordi Alonso
- Health Services Research Unit,IMIM-Hospital del Mar Medical Research Institute,Barcelona,Spain
| | - Laura Helena Andrade
- Núcleo de Epidemiologia Psiquiátrica - LIM 23,Instituto de Psiquiatria Hospital das Clinicas da Faculdade de Medicina da Universidade,de São Paulo,Brazil
| | | | - Somnath Chatterji
- Department of Information,Evidence and Research, World Health Organization,Geneva,Switzerland
| | - Marius Ciutan
- National School of Public Health,Management and Development,Bucharest,Romania
| | - Oye Gureje
- Department of Psychiatry,University College Hospital,Ibadan,Nigeria
| | - Elie G Karam
- Department of Psychiatry and Clinical Psychology,St George Hospital University Medical Center, Balamand University,Faculty of Medicine,Beirut,Lebanon
| | - Sing Lee
- Department of Psychiatry,Chinese University of Hong Kong,Tai Po,Hong Kong
| | | | | | - Fernando Navarro-Mateu
- UDIF-SM, Subdirección General de Planificación, Innovación y Cronicidad, Servicio Murciano de Salud; IMIB-Arrixaca; CIBERESP-Murcia,Murcia,Spain
| | - Beth-Ellen Pennell
- Survey Research Center,Institute for Social Research,University of Michigan,Ann Arbor, Michigan,USA
| | | | - José Posada-Villa
- Colegio Mayor de Cundinamarca University, Faculty of Social Sciences,Bogota,Colombia
| | - Yolanda Torres
- Center for Excellence on Research in Mental Health, CES University,Medellin,Colombia
| | - Ronald C Kessler
- Department of Health Care Policy,Harvard Medical School,Boston, Massachusetts,USA
| | - Kate Scott
- Department of Psychological Medicine,University of Otago,Dunedin, Otago,New Zealand
| |
Collapse
|
10
|
Mental disorder comorbidity and treatment utilization. Compr Psychiatry 2017; 79:89-97. [PMID: 28215792 PMCID: PMC5550376 DOI: 10.1016/j.comppsych.2017.02.003] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2016] [Revised: 01/31/2017] [Accepted: 02/04/2017] [Indexed: 01/10/2023] Open
Abstract
OBJECTIVE Effective interventions have been developed for myriad common psychological and substance use disorders, though they remain highly underutilized. Previous research has shown that the likelihood of treatment utilization varies across disorder diagnosis. However, studies that focus on individual disorders have resulted in a large, piecemeal literature that neglects the high rates of multivariate comorbidity. The current study investigated the association between treatment utilization and transdiagnostic comorbidity factors. METHODS In a nationally representative sample of the United States adult population (N=34,653), we applied the internalizing-externalizing latent comorbidity model to examine its association with lifetime utilization of various treatments for mood, anxiety, and substance use disorders. RESULTS Both internalizing and externalizing transdiagnostic factors were positively associated with all forms of treatment utilization. Stronger within-domain domain (e.g., internalizing's association with mood or anxiety treatment) than between-domain (e.g., internalizing's association with substance use disorder treatment) associations were found. Significant antagonistic internalizing-by-externalizing interactions were also observed. CONCLUSIONS These results underscore the importance of applying a nuanced approach to modeling comorbidity when predicting treatment utilization. Clinical implications are discussed.
Collapse
|
11
|
Waldron JS, Malone SM, McGue M, Iacono WG. Genetic and environmental sources of covariation between early drinking and adult functioning. PSYCHOLOGY OF ADDICTIVE BEHAVIORS 2017; 31:589-600. [PMID: 28594187 DOI: 10.1037/adb0000283] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
The vast majority of individuals initiate alcohol consumption for the first time in adolescence. Given the widespread nature of its use and evidence that adolescents may be especially vulnerable to its effects, there is concern about the long-term detrimental impact of adolescent drinking on adult functioning. While some researchers have suggested that genetic processes may confound the relationship, the mechanisms linking drinking and later adjustment remain unclear. The current study utilized a genetically informed sample and biometric modeling to examine the nature of the familial influences on this association and identify the potential for genetic confounding. The sample was drawn from the Minnesota Twin Family Study (MTFS), a longitudinal study consisting of 2,764 twins assessed in 2 cohorts at regular follow-ups from age 17 to age 29 (older cohort) or age 11 to age 29 (younger cohort). A broad range of adult measures was included assessing substance use, antisocial behavior, personality, socioeconomic status, and social functioning. A bivariate Cholesky decomposition was used to examine the common genetic and environmental influences on adolescent drinking and each of the measures of adult adjustment. The results revealed that genetic factors and nonshared environmental influences were generally most important in explaining the relationship between adolescent drinking and later functioning. While the presence of nonshared environmental influences on the association are not inconsistent with a causal impact of adolescent drinking, the findings suggest that many of the adjustment issues associated with adolescent alcohol consumption are best understood as genetically influenced vulnerabilities. (PsycINFO Database Record
Collapse
Affiliation(s)
| | | | - Matt McGue
- Department of Psychology, University of Minnesota
| | | |
Collapse
|
12
|
Rioux C, Castellanos-Ryan N, Parent S, Séguin JR. The interaction between temperament and the family environment in adolescent substance use and externalizing behaviors: Support for diathesis-stress or differential susceptibility? DEVELOPMENTAL REVIEW 2016; 40:117-150. [PMID: 27413247 DOI: 10.1016/j.dr.2016.03.003] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Both individual and environmental factors predict externalizing behaviors and substance use (EB-SU); however, different patterns of interaction among these factors may have different implications. This review first examines how temperament and the family environment interact in the prediction of adolescent EB-SU. Second, studies are reviewed according to two theoretical models: (1) diathesis-stress, i.e., certain individual characteristics are linked to vulnerability and later problems in adverse environments; (2) differential susceptibility, i.e., these characteristics are linked to susceptibility, predicting problems in adverse environments, but also better than average outcomes in good environments. Fourteen studies focusing on the prediction of EB-SU at ages 12-18 were selected through a literature search. Results showed that certain temperament traits (high levels of impulsivity and disinhibition; low levels of effortful control, negative affect, fearfulness and shyness), hereby designated as "adventurous" disposition, were associated with higher levels of EB-SU in adverse family environments. Some studies also showed that children with "adventurous" temperament traits in positive environments had the lowest levels of EB-SU. This suggests that prevention of EB-SU might target family factors such as parenting and focus on children with "adventurous" temperament traits. Further, studies that supported the differential susceptibility model were those assessing temperament and the family environment in childhood and studies that supported the diathesis-stress model assessed these variables in adolescence. It is thus possible that some of these "adventurous" temperament traits, with regard to EB-SU, would be indicators of susceptibility to both enriched and adverse environments in childhood but no longer in adolescence, when they would only be indicators of vulnerability to adverse environments.
Collapse
Affiliation(s)
- Charlie Rioux
- Department of Psychology, Université de Montréal, C.P. 6128, Succursale Centre-ville, Montréal, Québec, Canada H3C 3J7; CHU Ste-Justine Research Center, 3175 Chemin de la Côte Sainte-Catherine, Montréal, Québec, Canada H3T 1C5
| | - Natalie Castellanos-Ryan
- CHU Ste-Justine Research Center, 3175 Chemin de la Côte Sainte-Catherine, Montréal, Québec, Canada H3T 1C5; School of Psychoeducation, Université de Montréal, C.P. 6128, Succursale Centre-ville, Montréal, Québec, Canada H3C 3J7
| | - Sophie Parent
- School of Psychoeducation, Université de Montréal, C.P. 6128, Succursale Centre-ville, Montréal, Québec, Canada H3C 3J7
| | - Jean R Séguin
- CHU Ste-Justine Research Center, 3175 Chemin de la Côte Sainte-Catherine, Montréal, Québec, Canada H3T 1C5; Department of Psychiatry, Université de Montréal, C.P. 6128, Succursale Centre-ville, Montréal, Québec, Canada H3C 3J7
| |
Collapse
|
13
|
Walton KE, Krueger RF, Elkins I, D'Accordo C, McGue M, Iacono WG. Personality Traits Predict the Developmental Course of Externalizing: A Four-Wave Longitudinal Study Spanning Age 17 to Age 29. J Pers 2016; 85:364-375. [PMID: 26808279 DOI: 10.1111/jopy.12245] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
The objective of the present study was to determine whether and how personality predicts the developmental course of externalizing problems, including antisocial behavior and substance dependence. In a large, population-based longitudinal study (N = 1,252), the 11 personality traits assessed by the Multidimensional Personality Questionnaire were measured at age 17, and DSM diagnoses of adult antisocial behavior, alcohol dependence, and drug dependence were obtained at ages 17, 20, 24, and 29. We fit a quadratic multiple indicator latent growth model where the three diagnoses loaded onto an externalizing factor. This model fit the data well, and externalizing increased until it started to decline at age 24. High aggression and low control were the most significant predictors of the development of externalizing, with aggression playing a significant role in the development of externalizing across the 12-year time span, and control predicting the development from age 17 to 24. The findings highlight the importance of considering the developmental course of externalizing in the context of personality and suggest that the specific personality traits of aggression and control might be targeted in externalizing prevention and intervention programs.
Collapse
|
14
|
Rodriguez-Seijas C, Eaton NR, Krueger RF. How Transdiagnostic Factors of Personality and Psychopathology Can Inform Clinical Assessment and Intervention. J Pers Assess 2015; 97:425-35. [DOI: 10.1080/00223891.2015.1055752] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
|
15
|
Eaton NR, Rodriguez-Seijas C, Carragher N, Krueger RF. Transdiagnostic factors of psychopathology and substance use disorders: a review. Soc Psychiatry Psychiatr Epidemiol 2015; 50:171-82. [PMID: 25563838 DOI: 10.1007/s00127-014-1001-2] [Citation(s) in RCA: 118] [Impact Index Per Article: 13.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2014] [Accepted: 12/19/2014] [Indexed: 11/26/2022]
Abstract
PURPOSE Research on the structure of mental disorders and comorbidity indicates that many forms of psychopathology and substance use disorders are manifestations of relatively few transdiagnostic latent factors. These factors have important consequences for mental disorder research and applied practice. METHODS We provide an overview of the transdiagnostic factor literature, with particular focus on recent advances. RESULTS Internalizing and externalizing transdiagnostic factors have been well characterized in terms of their structures, links with disorders, stability, and statistical properties (e.g., invariance and distributions). Research on additional transdiagnostic factors, such as thought disorder, is quickly advancing latent structural models, as are integrations of transdiagnostic constructs with personality traits. Genetically informed analyses continue to clarify the origins of transdiagnostic factor levels, and links between these factors and important environmental exposures provide promising new avenues of inquiry. CONCLUSIONS Transdiagnostic factors account for the development and continuity of disorders and comorbidity over time, function as the primary links between disorders and important outcomes such as suicide, mediate associations between environmental exposures and disorders, provide an empirically supported classification system, and serve as foci for efficient, broadband intervention approaches. Overall, transdiagnostic factor research indicates the paramount importance of understanding these constructs and, thereby, broadening our understanding of mental disorder in general.
Collapse
Affiliation(s)
- Nicholas R Eaton
- Department of Psychology, Stony Brook University, Stony Brook, NY, 11794, USA,
| | | | | | | |
Collapse
|
16
|
Genetic relationship between the addiction diagnosis in adults and their childhood measure of addiction liability. Behav Genet 2014; 45:1-11. [PMID: 25502189 DOI: 10.1007/s10519-014-9684-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2014] [Accepted: 09/22/2014] [Indexed: 10/24/2022]
Abstract
Transmissible liability index (TLI), developed employing a high-risk design and item response theory, enables quantification of the latent trait of liability to drug use disorders (DUD) in children. TLI has been shown to have high heritability and predict DUD in young adulthood. This study extends prior research and determines the genetic contribution of DUD liability measured by TLI to adult liability as indexed by DUD diagnosis. The study utilizes data from a twin sample tracked from age 11 to age 25. In addition to confirming TLI's high heritability and predictive validity, it shows that the genetic component of variance in TLI assessed in childhood accounts for over half of the genetic variance in DUD diagnosis and the entire phenotypic relationship between the two liability measures. This validates TLI as an early measure of DUD liability and supports its utility in early-age genetic and other mechanistic studies of DUD.
Collapse
|
17
|
Moss HB, Chen CM, Yi HY. Early adolescent patterns of alcohol, cigarettes, and marijuana polysubstance use and young adult substance use outcomes in a nationally representative sample. Drug Alcohol Depend 2014; 136:51-62. [PMID: 24434016 DOI: 10.1016/j.drugalcdep.2013.12.011] [Citation(s) in RCA: 307] [Impact Index Per Article: 30.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2013] [Revised: 12/09/2013] [Accepted: 12/14/2013] [Indexed: 11/18/2022]
Abstract
BACKGROUND Alcohol, tobacco and marijuana are the most commonly used drugs by adolescents in the U.S. However, little is known about the patterning of early adolescent substance use, and its implications for problematic involvement with substances in young adulthood. We examined patterns of substance use prior to age 16, and their associations with young adult substance use behaviors and substance use disorders in a nationally representative sample of U.S. adolescents. METHOD Using data from Wave 4 of the Add Health Survey (n=4245), we estimated the prevalence of various patterns of early adolescent use of alcohol, cigarettes, and marijuana use individually and in combination. Then we examined the effects of patterns of early use of these substances on subsequent young adult substance use behaviors and DSM-IV substance use disorders. RESULTS While 34.4% of individuals reported no substance use prior to age 16, 34.1% reported either early use of both alcohol and marijuana or alcohol, marijuana and cigarettes, indicating the relatively high prevalence of this type of polysubstance use behavior among U.S. adolescents. Early adolescent use of all three substances was most strongly associated with a spectrum of young adult substance use problems, as well as DSM-IV substance use disorder diagnoses. CONCLUSIONS This research confirms the elevated prevalence and importance of polysubstance use behavior among adolescents prior to age 16, and puts early onset of alcohol, marijuana and cigarette use into the context of use patterns rather than single drug exposures.
Collapse
Affiliation(s)
| | - Chiung M Chen
- Alcohol Epidemiologic Data System, CSR, Incorporated, United States
| | - Hsiao-Ye Yi
- Alcohol Epidemiologic Data System, CSR, Incorporated, United States
| |
Collapse
|
18
|
Affiliation(s)
- Gregory A. Miller
- Department of Psychology, University of Delaware, Newark, Delaware 19716;
- Zukunftskolleg, University of Konstanz, 78457 Konstanz, Germany
- Department of Psychology and Beckman Institute, University of Illinois at Urbana-Champaign, Illinois 61820
| | - Brigitte Rockstroh
- Department of Psychology, University of Konstanz, 78457 Konstanz, Germany;
| |
Collapse
|
19
|
Miller MW, Reardon AF, Wolf EJ, Prince LB, Hein CL. Alcohol and drug abuse among U.S. veterans: comparing associations with intimate partner substance abuse and veteran psychopathology. J Trauma Stress 2013; 26:71-6. [PMID: 23325433 PMCID: PMC3578107 DOI: 10.1002/jts.21773] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
This study examined the relative influences of posttraumatic stress disorder (PTSD), other psychopathology, and intimate partner alcohol and drug use on substance-related problems in U.S. veterans (242 couples, N = 484). Hierarchical regression analyses revealed that partner alcohol and drug use severity explained more variance in veteran alcohol use and drug use (20% and 13%, respectively) than did veteran PTSD, adult antisocial behavior, or depression symptoms combined (6% for veteran alcohol use; 7% for veteran drug use). Findings shed new light on the influence of relationship factors on veteran alcohol and drug use and underscore the importance of couples-oriented approaches to treating veterans with comorbid PTSD and substance abuse.
Collapse
Affiliation(s)
- Mark W. Miller
- National Center for PTSD at VA Boston Healthcare System & Department of Psychiatry, Boston, Massachusetts, USA,Boston University School of Medicine, Boston, Massachusetts, USA
| | | | - Erika J. Wolf
- National Center for PTSD at VA Boston Healthcare System & Department of Psychiatry, Boston, Massachusetts, USA,Boston University School of Medicine, Boston, Massachusetts, USA
| | - Lauren B. Prince
- National Center for PTSD at VA Boston Healthcare System & Department of Psychiatry, Boston, Massachusetts, USA
| | - Christina L. Hein
- National Center for PTSD at VA Boston Healthcare System & Department of Psychiatry, Boston, Massachusetts, USA
| |
Collapse
|
20
|
Vrieze SI, Iacono WG, McGue M. Confluence of genes, environment, development, and behavior in a post Genome-Wide Association Study world. Dev Psychopathol 2012; 24:1195-214. [PMID: 23062291 PMCID: PMC3476066 DOI: 10.1017/s0954579412000648] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
This article serves to outline a research paradigm to investigate main effects and interactions of genes, environment, and development on behavior and psychiatric illness. We provide a historical context for candidate gene studies and genome-wide association studies, including benefits, limitations, and expected payoffs. Using substance use and abuse as our driving example, we then turn to the importance of etiological psychological theory in guiding genetic, environmental, and developmental research, as well as the utility of refined phenotypic measures, such as endophenotypes, in the pursuit of etiological understanding and focused tests of genetic and environmental associations. Phenotypic measurement has received considerable attention in the history of psychology and is informed by psychometrics, whereas the environment remains relatively poorly measured and is often confounded with genetic effects (i.e., gene-environment correlation). Genetically informed designs, which are no longer limited to twin and adoption studies thanks to ever-cheaper genotyping, are required to understand environmental influences. Finally, we outline the vast amount of individual difference in structural genomic variation, most of which remains to be leveraged in genetic association tests. Although the genetic data can be massive and burdensome (tens of millions of variants per person), we argue that improved understanding of genomic structure and function will provide investigators with new tools to test specific a priori hypotheses derived from etiological psychological theory, much like current candidate gene research but with less confusion and more payoff than candidate gene research has to date.
Collapse
Affiliation(s)
- Scott I Vrieze
- Department of Psychology, University of Minnesota, Minneapolis, MN 55455, USA.
| | | | | |
Collapse
|