Measurement invariance of DSM-IV alcohol, marijuana and cocaine dependence between community-sampled and clinically overselected studies

Jaime Derringer, Robert F. Krueger, Danielle M. Dick, Arpana Agrawal, Kathleen K. Bucholz, Tatiana Foroud, Richard A. Grucza, Michie N. Hesselbrock, Victor Hesselbrock, John Kramer, John Nurnberger, Marc Schuckit, Laura J. Bierut, William G. Iacono, Matt Mcgue

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

Aims: To examine whether DSM-IV symptoms of substance dependence are psychometrically equivalent between existing community-sampled and clinically overselected studies. Participants: A total of 2476 adult twins born in Minnesota and 4121 unrelated adult participants from a case-control study of alcohol dependence. Measurements: Life-time DSM-IV alcohol, marijuana and cocaine dependence symptoms and ever use of each substance. Design: We fitted a hierarchical model to the data, in which ever use and dependence symptoms for each substance were indicators of alcohol, marijuana or cocaine dependence which were, in turn, indicators of a multi-substance dependence factor. We then tested the model for measurement invariance across participant groups, defined by study source and participant sex. Findings: The hierarchical model fitted well among males and females within each sample [comparative fit index (CFI)>0.96, Tucker-Lewis index (TLI)>0.95 and root mean square error of approximation (RMSEA)<0.04 for all], and a multi-group model demonstrated that model parameters were equivalent across sample- and sex-defined groups (ΔCFI=0.002 between constrained and unconstrained models). Differences between groups in symptom endorsement rates could be expressed solely as mean differences in the multi-substance dependence factor. Conclusions: Life-time substance dependence symptoms fitted a dimensional model well. Although clinically overselected participants endorsed more dependence symptoms, on average, than community-sampled participants, the pattern of symptom endorsement was similar across groups. From a measurement perspective, DSM-IV criteria are equally appropriate for describing substance dependence across different sampling methods.

Original languageEnglish
Pages (from-to)1767-1776
Number of pages10
JournalAddiction
Volume108
Issue number10
DOIs
StatePublished - Oct 2013

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Marijuana Abuse
Cocaine-Related Disorders
Diagnostic and Statistical Manual of Mental Disorders
Alcoholism
Substance-Related Disorders
Case-Control Studies

Keywords

  • Item response theory
  • Sampling comparison
  • Sex differences
  • Substance dependence

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Psychiatry and Mental health
  • Medicine(all)

Cite this

Measurement invariance of DSM-IV alcohol, marijuana and cocaine dependence between community-sampled and clinically overselected studies. / Derringer, Jaime; Krueger, Robert F.; Dick, Danielle M.; Agrawal, Arpana; Bucholz, Kathleen K.; Foroud, Tatiana; Grucza, Richard A.; Hesselbrock, Michie N.; Hesselbrock, Victor; Kramer, John; Nurnberger, John; Schuckit, Marc; Bierut, Laura J.; Iacono, William G.; Mcgue, Matt.

In: Addiction, Vol. 108, No. 10, 10.2013, p. 1767-1776.

Research output: Contribution to journalArticle

Derringer, J, Krueger, RF, Dick, DM, Agrawal, A, Bucholz, KK, Foroud, T, Grucza, RA, Hesselbrock, MN, Hesselbrock, V, Kramer, J, Nurnberger, J, Schuckit, M, Bierut, LJ, Iacono, WG & Mcgue, M 2013, 'Measurement invariance of DSM-IV alcohol, marijuana and cocaine dependence between community-sampled and clinically overselected studies', Addiction, vol. 108, no. 10, pp. 1767-1776. https://doi.org/10.1111/add.12187
Derringer, Jaime ; Krueger, Robert F. ; Dick, Danielle M. ; Agrawal, Arpana ; Bucholz, Kathleen K. ; Foroud, Tatiana ; Grucza, Richard A. ; Hesselbrock, Michie N. ; Hesselbrock, Victor ; Kramer, John ; Nurnberger, John ; Schuckit, Marc ; Bierut, Laura J. ; Iacono, William G. ; Mcgue, Matt. / Measurement invariance of DSM-IV alcohol, marijuana and cocaine dependence between community-sampled and clinically overselected studies. In: Addiction. 2013 ; Vol. 108, No. 10. pp. 1767-1776.
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AU - Bucholz, Kathleen K.

AU - Foroud, Tatiana

AU - Grucza, Richard A.

AU - Hesselbrock, Michie N.

AU - Hesselbrock, Victor

AU - Kramer, John

AU - Nurnberger, John

AU - Schuckit, Marc

AU - Bierut, Laura J.

AU - Iacono, William G.

AU - Mcgue, Matt

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N2 - Aims: To examine whether DSM-IV symptoms of substance dependence are psychometrically equivalent between existing community-sampled and clinically overselected studies. Participants: A total of 2476 adult twins born in Minnesota and 4121 unrelated adult participants from a case-control study of alcohol dependence. Measurements: Life-time DSM-IV alcohol, marijuana and cocaine dependence symptoms and ever use of each substance. Design: We fitted a hierarchical model to the data, in which ever use and dependence symptoms for each substance were indicators of alcohol, marijuana or cocaine dependence which were, in turn, indicators of a multi-substance dependence factor. We then tested the model for measurement invariance across participant groups, defined by study source and participant sex. Findings: The hierarchical model fitted well among males and females within each sample [comparative fit index (CFI)>0.96, Tucker-Lewis index (TLI)>0.95 and root mean square error of approximation (RMSEA)<0.04 for all], and a multi-group model demonstrated that model parameters were equivalent across sample- and sex-defined groups (ΔCFI=0.002 between constrained and unconstrained models). Differences between groups in symptom endorsement rates could be expressed solely as mean differences in the multi-substance dependence factor. Conclusions: Life-time substance dependence symptoms fitted a dimensional model well. Although clinically overselected participants endorsed more dependence symptoms, on average, than community-sampled participants, the pattern of symptom endorsement was similar across groups. From a measurement perspective, DSM-IV criteria are equally appropriate for describing substance dependence across different sampling methods.

AB - Aims: To examine whether DSM-IV symptoms of substance dependence are psychometrically equivalent between existing community-sampled and clinically overselected studies. Participants: A total of 2476 adult twins born in Minnesota and 4121 unrelated adult participants from a case-control study of alcohol dependence. Measurements: Life-time DSM-IV alcohol, marijuana and cocaine dependence symptoms and ever use of each substance. Design: We fitted a hierarchical model to the data, in which ever use and dependence symptoms for each substance were indicators of alcohol, marijuana or cocaine dependence which were, in turn, indicators of a multi-substance dependence factor. We then tested the model for measurement invariance across participant groups, defined by study source and participant sex. Findings: The hierarchical model fitted well among males and females within each sample [comparative fit index (CFI)>0.96, Tucker-Lewis index (TLI)>0.95 and root mean square error of approximation (RMSEA)<0.04 for all], and a multi-group model demonstrated that model parameters were equivalent across sample- and sex-defined groups (ΔCFI=0.002 between constrained and unconstrained models). Differences between groups in symptom endorsement rates could be expressed solely as mean differences in the multi-substance dependence factor. Conclusions: Life-time substance dependence symptoms fitted a dimensional model well. Although clinically overselected participants endorsed more dependence symptoms, on average, than community-sampled participants, the pattern of symptom endorsement was similar across groups. From a measurement perspective, DSM-IV criteria are equally appropriate for describing substance dependence across different sampling methods.

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