Factor and item-response analysis DSM-IV criteria for abuse of and dependence on cannabis, cocaine, hallucinogens, sedatives, stimulants and opioids.
- Authors
- Gillespie, Nathan A; Neale, Michael C; Prescott, Carol A; Aggen, Steven H; Kendler, Kenneth S
- Year
- 2007
- Journal
- Addiction (Abingdon, England)
- PMID
- 17523987
- DOI
- 10.1111/j.1360-0443.2007.01804.x
AIMS: This paper explored, in a population-based sample of males, the factorial structure of criteria for substance abuse and dependence, and compared qualitatively the performance of these criteria across drug categories using item-response theory (IRT). DESIGN: Marginal maximum likelihood was used to explore the factor structure of criteria within drug classes, and a two-parameter IRT model was used to determine how the difficulty and discrimination of individual criteria differ across drug classes. PARTICIPANTS: A total of 4234 males born from 1940 to 1974 from the population-based Virginia Twin Registry were approached to participate. MEASUREMENTS: DSM-IV drug use, abuse and dependence criteria for cannabis, sedatives, stimulants, cocaine and opiates. FINDINGS: For each drug class, the pattern of endorsement of individual criteria for abuse and dependence, conditioned on initiation and use, could be best explained by a single factor. There were large differences in individual item performance across substances in terms of item difficulty and discrimination. Cocaine users were more likely to have encountered legal, social, physical and psychological consequences. CONCLUSIONS: The DSM-IV abuse and dependence criteria, within each drug class, are not distinct but best described in terms of a single underlying continuum of risk. Because individual criteria performed very differently across substances in IRT analyses, the assumption that these items are measuring equivalent levels of severity or liability with the same discrimination across different substances is unsustainable. Compared to other drugs, cocaine usage is associated with more detrimental effects and negative consequences, whereas the effects of cannabis and hallucinogens appear to be less harmful. Implications for other drug classes are discussed.
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| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
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| Development and validation of dependence and craving measures specific to athletes who use anabolic-androgenic steroids. | Zoob Carter BN et al. | β | 2024 | β |
| Dimensionality and differential functioning of DSM-5 cannabis use disorder criteria in an online sample of adults with frequent cannabis use. | Shmulewitz D et al. | β | 2023 | β |
| Psychometric Performance of a Substance Use Symptom Checklist to Help Clinicians Assess Substance Use Disorder in Primary Care. | Matson TE et al. | β | 2023 | β |
| Specific diagnostic criteria identify those at high risk for progression from βpreaddictionβ to severe alcohol use disorder | Miller AP et al. | β | 2023 | β |
| Exploring the Relationship Between Anxiety, Depression, and Sleep Disturbance Among HIV Patients in China From a Network Perspective. | Wang N et al. | β | 2021 | β |
| Identifying risk factors involved in the common versus specific liabilities to substance use: A genetically informed approach. | Iob E et al. | β | 2021 | β |
| Individual Differences in Different Measures of Opioid Self-Administration in Rats Are Accounted for by a Single Latent Variable. | Swain Y et al. | β | 2021 | β |
| The Prevalence of Substance Use Disorders among Community-based Adults with Legal Problems in the U.S. | Moore KE et al. | β | 2020 | β |
| Genetic and environmental risk factors in the non-medical use of over-the-counter or prescribed analgesics, and their relationship to major classes of licit and illicit substance use and misuse in a population-based sample of young adult twins. | Gillespie NA et al. | β | 2019 | β |
| Associations between personality disorders and cannabis use and cannabis use disorder: a population-based twin study. | Gillespie NA et al. | β | 2018 | β |
| Caffeine use disorder: An item-response theory analysis of proposed DSM-5 criteria. | Γgoston C et al. | β | 2018 | β |
| The Cannabis Abuse Screening Test and the DSM-5 in the general population: Optimal thresholds and underlying common structure using multiple factor analysis. | Legleye S | β | 2018 | β |
| The generalizability of the structure of substance abuse and antisocial behavioral syndromes: A systematic review. | Soe-Agnie SE et al. | β | 2018 | β |
| Is subclinical gambling really subclinical? | Weinstock J et al. | β | 2017 | β |
| Validation of the French Version of the DSM-5 Yale Food Addiction Scale in a Nonclinical Sample. | Brunault P et al. | β | 2017 | β |
| Cannabis withdrawal and sleep: A systematic review of human studies. | Gates P et al. | β | 2016 | β |
| Item Response Theory Analysis to Assess Dimensionality of Substance Use Disorder Abuse and Dependence Symptoms. | Kirisci L et al. | β | 2016 | β |
| Network analysis of substance abuse and dependence symptoms. | Rhemtulla M et al. | β | 2016 | β |
| Psychometric modeling of abuse and dependence symptoms across six illicit substances indicates novel dimensions of misuse. | Clark SL et al. | β | 2016 | β |
| Cannabis problem experiences among users of the tobacco-cannabis combination known as blunts. | Fairman BJ | β | 2015 | β |
| Commonalities and Differences Across Substance Use Disorders: Phenomenological and Epidemiological Aspects. | Shmulewitz D et al. | β | 2015 | β |
| Latent class analysis of DSM-5 criteria for opioid use disorders: results from the Iranian National Survey on Mental Health. | Tarrahi MJ et al. | β | 2015 | β |
| Nosologic Comparisons of DSM-IV and DSM-5 Alcohol and Drug Use Disorders: Results From the National Epidemiologic Survey on Alcohol and Related Conditions-III. | Goldstein RB et al. | β | 2015 | β |
| Properties of the Cannabis Abuse Screening Test (CAST) in the general population. | Legleye S et al. | β | 2015 | β |
| Blood lead level in opium dependents and its association with anemia: A cross-sectional study from the capital of Iran. | Domeneh BH et al. | β | 2014 | β |
| Comparing factor, class, and mixture models of cannabis initiation and DSM cannabis use disorder criteria, including craving, in the Brisbane longitudinal twin study. | Kubarych TS et al. | β | 2014 | β |
| DSM-5 cannabis use disorder: a phenotypic and genomic perspective. | Agrawal A et al. | β | 2014 | β |
| Item response theory analyses of DSM-IV and DSM-5 stimulant use disorder criteria in an American Indian community sample. | Gilder DA et al. | β | 2014 | β |
| Mild to severe social fears: ranking types of feared social situations using item response theory. | Crome E et al. | β | 2014 | β |
| Assessment of a modified DSM-5 diagnosis of alcohol use disorder in a genetically informative population. | Edwards AC et al. | β | 2013 | β |
| A validation of the Cannabis Abuse Screening Test (CAST) using a latent class analysis of the DSM-IV among adolescents. | Legleye S et al. | β | 2013 | β |
| Contributions of ethnicity to differential item functioning of cannabis abuse and dependence symptoms. | Gizer IR et al. | β | 2013 | β |
| DSM-5 criteria for substance use disorders: recommendations and rationale. | Hasin DS et al. | β | 2013 | β |
| Measurement invariance of DSM-IV alcohol, marijuana and cocaine dependence between community-sampled and clinically overselected studies. | Derringer J et al. | β | 2013 | β |
| Psychometric properties of a Spanish-language version of the Short Inventory of Problems. | Kiluk BD et al. | β | 2013 | β |
| The Brisbane Longitudinal Twin Study: Pathways to Cannabis Use, Abuse, and Dependence project-current status, preliminary results, and future directions. | Gillespie NA et al. | β | 2013 | β |
| The Short Inventory of Problems - revised (SIP-R): psychometric properties within a large, diverse sample of substance use disorder treatment seekers. | Kiluk BD et al. | β | 2013 | β |
| A dimensional approach to understanding severity estimates and risk correlates of marijuana abuse and dependence in adults. | Wu LT et al. | β | 2012 | β |
| Analyses related to the development of DSM-5 criteria for substance use related disorders: 1. Toward amphetamine, cocaine and prescription drug use disorder continua using Item Response Theory. | Saha TD et al. | β | 2012 | β |
| Analyses related to the development of DSM-5 criteria for substance use related disorders: 2. Proposed DSM-5 criteria for alcohol, cannabis, cocaine and heroin disorders in 663 substance abuse patients. | Hasin DS et al. | β | 2012 | β |
| Analyses related to the development of DSM-5 criteria for substance use related disorders: 3. An assessment of Pathological Gambling criteria. | Denis C et al. | β | 2012 | β |
| Are the symptoms of cannabis use disorder best accounted for by dimensional, categorical, or factor mixture models? A comparison of male and female young adults. | Gillespie NA et al. | β | 2012 | β |
| Recent advances in the genetic epidemiology and molecular genetics of substance use disorders. | Kendler KS et al. | β | 2012 | β |
| The aggregate effect of dopamine genes on dependence symptoms among cocaine users: cross-validation of a candidate system scoring approach. | Derringer J et al. | β | 2012 | β |
| Abuse and dependence on prescription opioids in adults: a mixture categorical and dimensional approach to diagnostic classification. | Wu LT et al. | β | 2011 | β |
| Assessing the utility of diagnostic criteria: a multisite study on gender identity disorder. | Paap MC et al. | β | 2011 | β |
| Commentary on Shand et al. (2011): Opioid use disorder as a condition of graded severity, similar to other substance use disorders. | Hasin DS | β | 2011 | β |
| Dimensionality of hallucinogen and inhalant/solvent abuse and dependence criteria: implications for the Diagnostic and Statistical Manual of Mental Disorders-Fifth Edition. | Kerridge BT et al. | β | 2011 | β |
| Exploring the emergence of alcohol use disorder symptoms in the two years after onset of drinking: findings from the National Surveys on Drug Use and Health. | McBride O et al. | β | 2011 | β |
| Nicotine dependence, abuse and craving: dimensionality in an Israeli sample. | Shmulewitz D et al. | β | 2011 | β |
| Opioid dependence latent structure: two classes with differing severity? | Shand FL et al. | β | 2011 | β |
| Psychometric modeling of cannabis initiation and use and the symptoms of cannabis abuse, dependence and withdrawal in a sample of male and female twins. | Gillespie NA et al. | β | 2011 | β |
| Psychometric properties of the Cannabis Abuse Screening Test (CAST) in a French sample of adolescents. | Legleye S et al. | β | 2011 | β |
| The DSM Guided Cannabis Screen (DSM-G-CS): description, reliability, factor structure and empirical scoring with a clinical sample. | Alexander D et al. | β | 2011 | β |
| The validity of DSM-IV cannabis abuse and dependence criteria in adolescents and the value of additional cannabis use indicators. | Piontek D et al. | β | 2011 | β |
| Use of item response theory and latent class analysis to link poly-substance use disorders with addiction severity, HIV risk, and quality of life among opioid-dependent patients in the Clinical Trials Network. | Wu LT et al. | β | 2011 | β |
| An item-response theory analysis of DSM-IV alcohol-use disorder criteria and "binge" drinking in undergraduates. | Beseler CL et al. | β | 2010 | β |
| An item response theory analysis of DSM-IV criteria for hallucinogen abuse and dependence in adolescents. | Wu LT et al. | β | 2010 | β |
| Cannabis dimensionality: dependence, abuse and consumption. | Beseler CL et al. | β | 2010 | β |
| Cannabis withdrawal symptoms in non-treatment-seeking adult cannabis smokers. | Levin KH et al. | β | 2010 | β |
| Dimensionality of DSM-IV nicotine dependence in a national sample: an item response theory application. | Saha TD et al. | β | 2010 | β |
| Gender differences in adolescents attending a drug and alcohol withdrawal service. | Dean AJ et al. | β | 2010 | β |
| Harsh discipline, childhood sexual assault, and MAOA genotype: an investigation of main and interactive effects on diverse clinical externalizing outcomes. | Derringer J et al. | β | 2010 | β |
| Item response theory analysis of DSM-IV criteria for inhalant-use disorders in adolescents. | Perron BE et al. | β | 2010 | β |
| Marijuana use subtypes in a community sample of young adult women. | de Dios MA et al. | β | 2010 | β |
| Measuring addiction propensity and severity: the need for a new instrument. | Conway KP et al. | β | 2010 | β |
| Modeling the impact of age and sex on a dimension of poly-substance use in adolescence: a longitudinal study from 11- to 17-years-old. | Derringer J et al. | β | 2010 | β |
| An item response theory modeling of alcohol and marijuana dependences: a National Drug Abuse Treatment Clinical Trials Network study. | Wu LT et al. | β | 2009 | β |
| A survey of inhalant use disorders among delinquent youth: prevalence, clinical features, and latent structure of DSM-IV diagnostic criteria. | Howard MO et al. | β | 2009 | β |
| Candidate genes for cannabis use disorders: findings, challenges and directions. | Agrawal A et al. | β | 2009 | β |
| Construct and differential item functioning in the assessment of prescription opioid use disorders among American adolescents. | Wu LT et al. | β | 2009 | β |
| Item response theory analysis of lifetime cannabis-use disorder symptom severity in an American Indian community sample. | Gilder DA et al. | β | 2009 | β |
| Measurement of opioid problems among chronic pain patients in a general medical population. | Banta-Green CJ et al. | β | 2009 | β |
| The construct and measurement equivalence of cocaine and opioid dependences: a National Drug Abuse Treatment Clinical Trials Network (CTN) study. | Wu LT et al. | β | 2009 | β |
| The role of cannabis use within a dimensional approach to cannabis use disorders. | Compton WM et al. | β | 2009 | β |
| Are diagnostic orphans at risk of developing cannabis abuse or dependence? Four-year follow-up of young adult cannabis users not meeting diagnostic criteria. | Degenhardt L et al. | β | 2008 | β |
| Evaluating the validities of different DSM-IV-based conceptual constructs of tobacco dependence. | Hendricks PS et al. | β | 2008 | β |
| Is there evidence for symptoms of cannabis withdrawal in the national epidemiologic survey of alcohol and related conditions? | Agrawal A et al. | β | 2008 | β |
| Marijuana use disorders and DSM-V. | Rey JM | β | 2008 | β |
| Peer environment mediates parental history and individual risk in the etiology of cannabis use disorder in boys: a 10-year prospective study. | Feske U et al. | β | 2008 | β |
| Socioeconomic status and social support following illicit drug use: causal pathways or common liability? | Bergen SE et al. | β | 2008 | β |
| Does gender contribute to heterogeneity in criteria for cannabis abuse and dependence? Results from the national epidemiological survey on alcohol and related conditions. | Agrawal A et al. | β | 2007 | β |
| Is there heterogeneity among syndromes of substance use disorder for illicit drugs? | Beseler C et al. | β | 2006 | β |