Application of item response theory to quantify substance use disorder severity

Kirisci, Levent; Tarter, Ralph E.; Vanyukov, Michael; Martin, Chris; Mezzich, Ada C.; Brown, Stacy

doi:10.1016/j.addbeh.2006.03.033

Cited by 46 publications

(48 citation statements)

References 18 publications

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“…Future research should include these variables as outcomes whenever possible. Using an SUD scale (e.g., Kirisci et al, 2006) may also improve the generalizability of these findings.…”

Section: Discussionmentioning

confidence: 96%

“…The number of drugs tried has been hypothesized to be a precursor for the later development of drug use disorders (Robins & Przybeck, 1991). Finally, recent research conducted to create a substance use disorder (SUD) severity scale using item response theory found that SUD severity significantly predicted the number of different drugs tried by the age of 19, which the authors used as a test of construct and concurrent validity for their SUD scale (Kirisci et al, 2006).…”

Section: Outcome Variable-drug Usementioning

confidence: 99%

See 1 more Smart Citation

Genetic, personality, and environmental predictors of drug use in adolescents

Conner

Hellemann

Ritchie

et al. 2010

Journal of Substance Abuse Treatment

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“…Future research should include these variables as outcomes whenever possible. Using an SUD scale (e.g., Kirisci et al, 2006) may also improve the generalizability of these findings.…”

Section: Discussionmentioning

confidence: 96%

Section: Outcome Variable-drug Usementioning

confidence: 99%

Genetic, personality, and environmental predictors of drug use in adolescents

Conner

Hellemann

Ritchie

et al. 2010

Journal of Substance Abuse Treatment

View full text Add to dashboard Cite

“…First, the prevalence of each symptom in groups defined by early age at first use younger than 15 years, male gender, and presence of childhood conduct disorder and comparison of the prevalence of that symptom with the prevalence in its corresponding group (age at first use ≥15 years, female gender, and absence of childhood conduct disorder) was performed using contingency tables and calculating Fisher p values. second, we performed eFa and iRt analyses following procedures used previously in other iRt analyses of substance-use disorder symptoms (agrawal and lynskey, 2007;compton et al, 2009;Kirisci et al, 2006;Krueger et al, 2004;langenbucher et al, 2004;lynskey and agrawal, 2007;saha et al, 2006teesson et al, 2002). eFa was used to evaluate if the nine cuD symptoms were dominated by a single common factor.…”

Section: Discussionmentioning

confidence: 99%

Item Response Theory Analysis of Lifetime Cannabis-Use Disorder Symptom Severity in an American Indian Community Sample

Gilder

Lau

Ehlers

2009

J. Stud. Alcohol Drugs

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ABSTRACT. Objective: the aim of this study was to use item Response theory to assess Diagnostic and statistical Manual of Mental Disorders, third edition, Revised (DsM-iii-R), lifetime cannabis-use disorder (cuD) symptom severity and its relationship to first cannabis use before age 15 years, male gender, and childhood conduct disorder in an american indian community sample. Method: the semi-structured assessment for the genetics of alcoholism was used to determine demographic information, age at first use, and DsM-iii-R childhood conduct disorder and lifetime cuD symptoms in a community sample of 349 american indian participants who had used cannabis at least 21 times in a single year. two-parameter item Response theory models generated marginal maximum likelihood estimates for discrimination (a) and threshold (b) parameters for nine DsM-iii-R cuD symptoms along an underlying latent cuD severity continuum. Differential item Functioning (DiF) analysis was used to assess for differences in symptom severity in groups defined by presence versus absence of age at first use before 15 years, male gender, and childhood conduct disorder. Results: cuD symptoms of "use in larger amounts or over longer periods of time," "activities given up," and "role failure" were the most severe symptoms. all cuD symptoms fell on the moderate portion of the severity continuum. "time spent" was more severe in individuals who first used cannabis after age 15 years, "hazardous use" was more severe in females, and "use in larger amounts or over longer periods of time" was more severe in individuals with co-morbid childhood conduct disorder. Conclusions: specific risk factors for the development of lifetime cuD are associated with increased severity of several cuD symptoms in this high-risk group. (J. Stud. Alcohol

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“…For example, in the case of AUD, studies indicate that DSM-IV AUD criteria do not provide support for the distinction between alcohol abuse and dependence (Langenbucher et al, 2004;Martin et al, 1996) and that DSM-IV AUD criteria are indicators of a unidimensional latent trait (Gelhorn et al, 2007;Harford et al, 2009;Kirisci et al, 2006;Saha et al, 2006). Interpretation of DSM-IV AUD is further complicated by both conceptual and measurement issues (Gelhorn et al, 2008;Harford et al, 2010;Hasin & Paykin, 1998, 1999Schuckit et al, 2008).…”

Section: Discussionmentioning

confidence: 99%

Other- and Self-Directed Forms of Violence and Their Relationship With Number of Substance Use Disorder Criteria Among Youth Ages 12–17: Results From the National Survey on Drug Use and Health

Harford

Chen

Grant

2016

J. Stud. Alcohol Drugs

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ABSTRACT. Objective: The purpose of this study was to examine the associations between the number of substance use disorder (SUD) criteria as listed in the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, and other-and self-directed forms of violence among youth ages 12-17 in the general population. Method: Data were obtained from the National Survey on Drug Use and Health pooled across survey years 2008-2013, with a combined sample of 108,560 respondents ages 12-17. Violence categories defined by suicide attempt (self-directed) and attacking someone with the intent for serious injury (other-directed) were categorized as follows: none, self-directed only, other-directed only, and combined self-/other-directed. Multinomial logistic regression estimated odds ratios of the increased number of criteria for alcohol, marijuana, and other illicit drug use, and nicotine dependence for each violence category, by controlling for sociodemographics and criminal justice involvement. Results: The multivariable model indicates that increased number of SUD criteria confers significantly higher odds for each violence category versus no violence. For combined violence versus self-directed violence, male gender, non-Hispanic Black and mixed race (with non-Hispanic White as referent), nicotine dependence, increased number of alcohol use disorder criteria, and other drug use disorder criteria have significantly higher odds, whereas Native Hawaiian/Pacific Islander and age have significantly lower odds. For combined violence versus other-directed violence, non-Hispanic mixed race and the increased number of other drug use disorder criteria have significantly higher odds, whereas male gender, non-Hispanic Black and Native Hawaiian/Pacific Islander, and Hispanic have significantly lower odds. Conclusions: The identification of the combined self-/otherdirected violence in the general population provides additional support for clinical studies that established associations between self-and otherdirected violent behaviors. Prevention and treatment programs need to address both instances of violence and suicidality. (J. Stud. Alcohol Drugs, 77, 277-286, 2016)

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Application of item response theory to quantify substance use disorder severity

Cited by 46 publications

References 18 publications

Genetic, personality, and environmental predictors of drug use in adolescents

Genetic, personality, and environmental predictors of drug use in adolescents

Item Response Theory Analysis of Lifetime Cannabis-Use Disorder Symptom Severity in an American Indian Community Sample

Other- and Self-Directed Forms of Violence and Their Relationship With Number of Substance Use Disorder Criteria Among Youth Ages 12–17: Results From the National Survey on Drug Use and Health

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