Measurement of the Risk for Substance Use Disorders: Phenotypic and Genetic Analysis of an Index of Common Liability

Vanyukov, Michael; Kirisci, Levent; Moss, Lisa; Tarter, Ralph E.; Reynolds, Maureen; Maher, Brion S.; Kirillova, Galina P.; Ridenour, Ty; Clark, Duncan B.

doi:10.1007/s10519-009-9292-x

Cited by 8 publications

(12 citation statements)

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“…Employing several factor analytic and item response theory methods, a 45-item scale was eventually distilled that investigators posited indexed the transmissible risk to SUDs, that is, risk passed from parents to offspring and not confounded with active substance abuse. Subsequent reports support the validity of the TLI; for example, scores predict the onset and escalation of use and the onset of SUDs and are highly heritable (Hicks, Iacono, & McGue, 2012; Kirisci et al, 2009; Vanyukov et al, 2009).…”

Section: Conceptual and Analytic Approach To Scale Constructionmentioning

confidence: 97%

Identifying childhood characteristics that underlie premorbid risk for substance use disorders: Socialization and boldness

Hicks

Iacono

2013

Dev Psychopathol

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Utilizing a longitudinal twin study (N = 2510), we identified the child characteristics present prior to initiation of substance use that best predicted later substance use disorders. Two independent traits accounted for the majority of pre-morbid risk: socialization (conformity to rules and conventional values) and boldness (sociability and social assurance, stress resilience, and thrill seeking). Low socialization was associated with disruptive behavior disorders, parental externalizing disorders, and environmental adversity, and exhibited moderate genetic (.45) and shared environmental influences (.30). Boldness was highly heritable (.71) and associated with less internalizing distress and environmental adversity. Together, these traits exhibited robust associations with adolescent and young adult substance use disorders (R = .48 and .50, respectively), and incremental prediction over disruptive behavior disorders, parental externalizing disorders, and environmental adversity. Results were replicated in an independent sample. Socialization and boldness offer a novel conceptualization of underlying risk for substance use disorders that has the potential to improve prediction and theory with implications for basic research, prevention, and intervention.

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Section: Conceptual and Analytic Approach To Scale Constructionmentioning

confidence: 97%

Identifying childhood characteristics that underlie premorbid risk for substance use disorders: Socialization and boldness

Hicks

Iacono

2013

Dev Psychopathol

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“…In the case of propensity, the instruments for measuring the risks of developing addiction are few and far apart (Conway et al, 2010). Still, an instrument (Transmissible Liability Index) was put together by the Center for Education and Drug Abuse Research, using items from numerous psychological and psychiatric scales to characterize users' behaviours/personalities and their likelihood of substance use disorder Vanyukov et al, 2009).…”

Section: Liability To Addictionmentioning

confidence: 99%

A typology of user liability to IT addiction

Vaghefi

Lapointe

Boudreau-Pinsonneault

2016

Information Systems Journal

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To date, information systems (IS) research mainly has provided a monolithic view of information technology (IT) use, considering it to be a desired behaviour with positive outcomes. However, given the dramatic increase in the use of technology during the last few years, susceptibility to IT addiction is increasingly becoming an important issue for technology users and IS researchers. In this paper, we report the results of a study that focuses on identifying variations in user liability to IT addiction, which reflects the susceptibility of individual users to develop IT addiction. First, a review of the literature in different disciplines (e.g. health, psychology and IS) allows us to better understand the concepts of IT addiction and liability to addiction. The literature review also provides an overview of the antecedents and consequences associated with IT addiction. Then, building on the analysis of 15 in-depth interviews and 182 exploratory open-ended surveys collected from smartphone users, we apply the concept of liability to addiction in the IT use context and propose a typological theory of user liability to IT addiction. Our typology reveals five ideal types; each can be associated to a user profile (ADDICT, FANATIC, HIGHLY ENGAGED, REGULAR AND THOUGHTFUL). Building upon both the extant literature and our results, we put forth propositions to extend the theoretical contributions of the study. We finally discuss the contributions and implications of our paper for research and practice.

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“…Other drugs were combined and included opioid use (six subjects) and cocaine use (three subjects). The average SUD onset age was 14.7 years old [standard deviation (SD) 1.6; range [11][12][13][14][15][16][17][18]. A life-time history of mental disorders was significantly more common in the SUD group than in the control group (Table 1), including CD, ADHD and MDD.…”

Section: Sud (N = 35)mentioning

confidence: 99%

“…DBD and MDD tend to cluster in adolescents with SUD ([8], see [9] for review). Dimensional constructs representing attentional, conduct and mood problems have been found to provide psychometrically valid representations of psychological dysregulation that predict adolescent SUD [10,11]. Psychological dysregulation scales have been found to be elevated in adolescents with SUD compared to reference adolescents [12].…”

mentioning

confidence: 99%

Psychological dysregulation, white matter disorganization and substance use disorders in adolescence

et al. 2011

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Aims Adolescents with substance use disorders (SUD) have difficulties with cognitive, behavioral and affective regulation. White matter (WM) disorganization has been observed in adolescents with SUD and may be related to psychological dysregulation. This study compared adolescents with SUD and control adolescents to investigate relationships among psychological dysregulation, WM disorganization, and SUD symptoms. Design Cross-sectional observation. Setting Adolescents with SUD were recruited from SUD treatment programs. Controls were recruited from the community. Participants The 55 participants were ages 14–19; 35 with SUD, 20 controls without SUD. Measurements Psychological dysregulation was characterized by the Behavior Rating Inventory of Executive Function. WM disorganization was measured by diffusion tensor imaging, and fractional anisotropy, radial diffusivity and axial diffusivity were examined within cortical regions of interest. Findings Compared to controls, SUD adolescents showed significantly greater psychological dysregulation and prefrontal and parietal WM disorganization. WM disorganization was positively correlated with psychological dysregulation and cannabis-related symptoms. In multivariate mediation models, the results were consistent with both the Neurodevelopmental Immaturity model, in which WM disorganization leads to psychological dysregulation and cannabis-related symptoms, and with the Substance Effects Model, in which cannabis-related symptoms lead to WM disorganization and psychological dysregulation. Conclusions In adolescents, substance use disorder and psychological dysregulation appear to be associated with reduced frontoparietal network white matter maturation.

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Measurement of the Risk for Substance Use Disorders: Phenotypic and Genetic Analysis of an Index of Common Liability

Cited by 8 publications

References 0 publications

Identifying childhood characteristics that underlie premorbid risk for substance use disorders: Socialization and boldness

Identifying childhood characteristics that underlie premorbid risk for substance use disorders: Socialization and boldness

A typology of user liability to IT addiction

Psychological dysregulation, white matter disorganization and substance use disorders in adolescence

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