Algorithm Analysis of the DSM-5 Alcohol Withdrawal Symptom.

BACKGROUND: Alcohol withdrawal (AW) is an important clinical and diagnostic feature of alcohol dependence. AW has been found to predict a worsened course of illness in clinical samples, but in some community studies, AW endorsement rates are strikingly high, suggesting false-positive symptom assignments. Little research has examined the validity of the DSM-5 algorithm for AW, which requires either the presence of at least 2 of 8 subcriteria (i.e., autonomic hyperactivity, tremulousness, insomnia, nausea, hallucinations, psychomotor agitation, anxiety, and grand mal seizures), or, the use of alcohol to avoid or relieve these symptoms. METHODS: We used item and algorithm analyses of data from waves 1 and 2 of the National Epidemiologic Survey on Alcohol and Related Conditions (current drinkers, n = 26,946 at wave 1) to study the validity of DSM-5 AW as operationalized by the Alcohol Use Disorder and Associated Disabilities Interview Schedule-DSM-IV (AUDADIS-IV). RESULTS: A substantial proportion of individuals given the AW symptom reported only modest to moderate levels of alcohol use and alcohol problems. Alternative AW algorithms were superior to DSM-5 in terms of levels of alcohol use and alcohol problem severity among those with AW, group difference effect sizes, and predictive validity at a 3-year follow-up. The superior alternative algorithms included those that excluded the nausea subcriterion; required withdrawal-related distress or impairment; increased the AW subcriteria threshold from 2 to 3 items; and required tremulousness for AW symptom assignment. CONCLUSIONS: The results indicate that the DSM-5 definition of AW, as assessed by the AUDADIS-IV, has low specificity. This shortcoming can be addressed by making the algorithm for symptom assignment more stringent.

Truth or consequences in the diagnosis of substance use disorders.

AIMS: This commentary critically evaluates the use of substance-related negative psychosocial and health consequences to define and diagnose alcohol and other substance use disorders. METHODS: Narrative review. RESULTS: The consequences of substance use cause much suffering and are major public health and economic problems. However, there are a number of conceptual and measurement problems with using consequences as diagnostic criteria for substance disorders. Data indicate that substance-related consequences introduce systematic bias and degrade the validity of diagnostic systems. CONCLUSIONS: Negative psychosocial and health consequences of substance use should play a fundamentally reduced role in modern diagnostic systems for, and definitions of, addictive disorders.

The influence of age of onset and acute anabolic steroid exposure on cognitive performance, impulsivity, and aggression in men.

The name of author Heather Berlin omitted a middle initial in the byline and author note and should appear as Heather A. Berlin.] A growing translational literature suggests that adolescent exposure to anabolic-androgenic steroids (AASs) leads to increased aggression and impulsivity. However, little is known about the cognitive effects of AASs among AAS users or the differences between adolescent- and adult-onset users. This study provides a test of the effects of acute naturalistic AAS use and age of onset (adolescent vs. adult) on measures of inhibitory control, planning and attention, and decision making. Seventy-one active adult male AAS users completed self-report measures of impulsivity and aggression, and a subsample (11 adolescent onset vs. 11 adult onset) matched on current age were administered 4 computerized tests from the Cambridge Neuropsychological Test Automated Battery (CANTAB) (Cambridge Cognition, 2002) and the Iowa Gambling Task (Stanton, Liening, & Schultheiss, 2011). Multiple regression analyses and a series of 2 (adolescent vs. adult) × 2 (on-cycle vs. off-cycle) analyses of variance (ANOVAs) were used to examine the differential effects of age of onset and acute drug use on cognition and behavior. Regression analyses revealed larger on-cycle effects for adolescent users than adult users. Subsample analyses indicated that on-cycle users performed less well on cognitive measures of inhibitory control and attention, but not on tests of planning or decision making. Adolescent onset was associated with greater impulsivity and more acute sensitivity to AAS effects on attention. These preliminary findings suggest the possibility that acute AAS use is associated with some differences in inhibitory control and impulsivity and to a lesser degree, aggression. These effects may be more potent for those initiating AAS use in adolescence.

Fitness supplements as a gateway substance for anabolic-androgenic steroid use.

Approximately 3.0% of young Americans have used anabolic-androgenic steroids (AAS). A traditional model of adolescent substance use, the gateway hypothesis, suggests that drug use follows a chronological, causal sequence, whereby initial use of a specific drug leads to an increased likelihood of future drug use. Therefore, the use of illicit appearance and performance enhancing drugs (APED), such as AASs, also follows an analogous progression, whereby legal APEDs, (e.g., nutritional supplements) precedes illicit APED use. We examined the relationship between nutritional supplement use, beliefs about APEDs, and APED use in 201 male (n = 100) and female (n = 101) undergraduates. Participants completed measures of muscle dysmorphia (MDDI), body checking (BCQ, MBCQ), eating disorder symptoms (EDE-Q), perfectionism (FMPS), positive beliefs about the efficacy-safety of AAS use and APED use patterns. A series of covariance structure models (CSM) showed body image disturbance, compulsive exercise, illicit drug use, and perfectionism, independent of gender, were significant predictors of positive beliefs about AAS. Those who used both fat burning and muscle building supplements reported the strongest beliefs in AAS efficacy-safety, which was associated with higher likelihood of current illicit APED use. There was evidence of significant indirect relationships between supplement use and illicit APED use through contact with other AAS users and beliefs about AAS. The potential role for nutritional supplement use in the initiation of illegal APED use is discussed. Future prevention efforts may benefit from targeting legal APED users in youth.

Development and validation of the appearance and performance enhancing drug use schedule.

Appearance-and-performance enhancing drug (APED) use is a form of drug use that includes use of a wide range of substances such as anabolic-androgenic steroids (AASs) and associated behaviors including intense exercise and dietary control. To date, there are no reliable or valid measures of the core features of APED use. The present study describes the development and psychometric evaluation of the Appearance and Performance Enhancing Drug Use Schedule (APEDUS) which is a semi-structured interview designed to assess the spectrum of drug use and related features of APED use. Eighty-five current APED using men and women (having used an illicit APED in the past year and planning to use an illicit APED in the future) completed the APEDUS and measures of convergent and divergent validity. Inter-rater agreement, scale reliability, one-week test-retest reliability, convergent and divergent validity, and construct validity were evaluated for each of the APEDUS scales. The APEDUS is a modular interview with 10 sections designed to assess the core drug and non-drug phenomena associated with APED use. All scales and individual items demonstrated high inter-rater agreement and reliability. Individual scales significantly correlated with convergent measures (DSM-IV diagnoses, aggression, impulsivity, eating disorder pathology) and were uncorrelated with a measure of social desirability. APEDUS subscale scores were also accurate measures of AAS dependence. The APEDUS is a reliable and valid measure of APED phenomena and an accurate measure of the core pathology associated with APED use. Issues with assessing APED use are considered and future research is considered.

The diagnostic dilemma of pathological appearance and performance enhancing drug use.

Appearance and performance enhancing drug (APED) use includes the use of a range of pharmacologically distinct substances and concurrent investment in outward appearance or achievement, dietary control, and frequent exercise. A number of existing reviews and conceptual papers have defined pathological forms of APED use within the APED class of anabolic-androgenic steroids (AASs) and using the framework of AAS dependence. We review published data on APED use including human studies of AAS users and identified three defining phenomenological features associated with increased health risk and pathology. These features included (1) polypharmacy or the concurrent use of several pharmacologically distinct substances used to change outward appearance or increase likelihood of personal achievement; (2) significant body image disturbance; (3) rigid practices and preoccupations with diet and exercise. Investigations into the latent structure of APED use suggest these features cluster together in a homogenous group of APED users who have the highest health risk and most psychopathology. These features are discussed in the context of AAS dependence and problems with defining classic tolerance-withdrawal symptoms among APED users. Suggestions for a resolution and outline for future research needed to determine the best system for identifying and diagnosing pathological APED use are discussed.

Body image disturbance in 1000 male appearance and performance enhancing drug users.

Body image disturbance (BID) among men has only recently become a phenomenon of clinical significance with noted heterogeneity in the behavioral consequences of these disturbances. The degree of heterogeneity among appearance and performance enhancing drug (APED) users is unknown and an empirically derived framework for studying BID is necessary. APED users (N=1000) were recruited via the Internet and they completed a comprehensive online assessment APED use patterns, motivations, consequences, and BID. Data were evaluated using latent trait, latent class, and factor mixture models. Model results were validated using a range of covariates including cycle characteristics, age, APED history, and APED risk. A 1-Factor, 4-Class model provided the best fit to the data with Class 1 scoring the highest on all measures of BID and Class 4 the lowest on all measures. Class 2 differed in their preference for being lean over muscular and Class 3 preferred adding mass and size. Each class was associated with unique risks, APED history, and training identity. Not all APED users suffer from significant BID and there are unique profiles for those with elevated BID. Future research on male BID should account for this structure in order to better define relevant diagnostic categories and evaluate the clinical significance of BID.

How should we revise diagnostic criteria for substance use disorders in the DSM-V?

This article reviews literature on the validity and performance characteristics of the Diagnostic and Statistical Manual of Mental Disorders (4th ed.; DSM-IV; American Psychiatric Association, 1994) diagnostic criteria for substance use disorders (SUDs) and recommends changes in these criteria that should be considered for the next edition of the DSM (DSM-V). Substantial data indicate that DSM-IV substance abuse and substance dependence are not distinct categories and that SUD criteria are best modeled as reflecting a unidimensional continuum of substance-problem severity. The conceptually and empirically problematic substance abuse diagnosis should be abandoned in the DSM-V, with substance dependence defined by a single set of criteria. Data also indicate that various individual SUD criteria should be revised, dropped, or considered for inclusion in the DSM-V. The DSM-V should provide a framework that allows the integration of categorical and dimensional approaches to diagnosis. Important areas for further research are noted.

Modeling population heterogeneity in appearance- and performance-enhancing drug (APED) use: applications of mixture modeling in 400 regular APED users.

Appearance- and performance-enhancing drugs (APEDs) constitute a wide range of substances, including anabolic-androgenic steroids, nonsteroidal anabolics, and licit and illicit ergo/thermogenics. A great deal of heterogeneity exists in APED use patterns among weight-lifting men, and, consequently, little is known about how these patterns are related to side effect profiles or risk potential. In the current study, a sample of 400 adult men who were regular APED users completed an interactive Web-based instrument detailing information about APED use, side effects, and related indicators of risk. To explore the heterogeneity of APED use patterns, the authors subjected data on use patterns to (a) latent class analysis (LCA), (b) latent trait analysis (LTA), and (c) factor mixture analysis to determine the best model of APED use. Results indicated that a 4-class factor mixture model provided a better fit than LCA and LTA models. The authors also found that severity and latent class were uniquely associated with negative outcomes. Each of the 4 classes was associated with unique side effects, motivations, and participant use patterns. Implications for identifying pathological forms of APED use are discussed.

Item response theory analysis of diagnostic criteria for alcohol and cannabis use disorders in adolescents: implications for DSM-V.

Item response theory (IRT) has advantages over classical test theory in evaluating diagnostic criteria. In this study, the authors used IRT to characterize the psychometric properties of Diagnostic and Statistical Manual of Mental Disorders, 4th edition (DSM-IV; American Psychiatric Association, 1994) alcohol and cannabis use disorder symptoms among 472 clinical adolescents. For both substances, DSM-IV symptoms fit a model specifying a unidimensional latent trait of problem severity. Threshold (severity) parameters did not distinguish abuse and dependence symptoms. Abuse symptoms of legal problems and hazardous use, and dependence symptoms of tolerance, unsuccessful attempts to quit, and physical-psychological problems, showed relatively poor discrimination of problem severity. There were gender differences in thresholds for hazardous use, legal problems, and physical-psychological problems. The results illustrate limitations of DSM-IV criteria for alcohol and cannabis use disorders when applied to adolescents. The development process for the fifth edition (DSM-V) should be informed by statistical models such as those used in this study.

Predictors of interest in psychological treatment for insomnia among older primary care patients with disturbed sleep.

In this study, we examined whether the common sense model of illness representation (CSMIR) could be successfully used to predict interest in cognitive-behavioral treatment for insomnia (CBT-I) among older primary care patients with disturbed sleep. The Sleep Impairment Index (C. M. Morin, 1993) was used to assess sleep disturbance and the constructs of the CSMIR in primary care patients ages 55 and older. Statistical analyses showed that the CSMIR constructs of consequences (perceived adverse consequences of sleep disturbance to functioning), causes (attributing one's insomnia to bad sleeping habits), and emotion (concern about one's sleep problem) predicted interest in CBT-I. These data provided encouraging support for the ability of the CSMIR to accurately predict patient interest in treatment for insomnia. Implications for assessment and treatment of insomnia in primary care are discussed.

Limitations in the assessment of DSM-IV cannabis tolerance as an indicator of dependence in adolescents.

The usefulness of the Diagnostic and Statistical Manual's (4th ed.; DSM-IV; American Psychiatric Association, 1994) tolerance criterion as an indicator of dependence has been debated. The authors of this study evaluated the performance of DSM's cannabis tolerance criterion, operationally defined as a percentage increase in quantity needed to get high, in distinguishing adolescents with and without cannabis dependence. Two samples of adolescent cannabis users (ages 12-19) provided data (ns = 417 and 380). Tolerance, defined as a percentage increase (median increase = 300% and 175%, respectively, in the samples), had only moderate overall sensitivity and specificity in distinguishing those with and without cannabis dependence. Results suggest limitations of the DSM-IV and change-based operational definition of tolerance in adolescents.

An application of item response theory analysis to alcohol, cannabis, and cocaine criteria in DSM-IV.

Item response theory (IRT) is supplanting classical test theory as the basis for measures development. This study demonstrated the utility of IRT for evaluating DSM-IV diagnostic criteria. Data on alcohol, cannabis, and cocaine symptoms from 372 adult clinical participants interviewed with the Composite International Diagnostic Interview--Expanded Substance Abuse Module (CIDI-SAM) were analyzed with Mplus (B. Muthen & L. Muthen, 1998) and MULTILOG (D. Thissen, 1991) software. Tolerance and legal problems criteria were dropped because of poor fit with a unidimensional model. Item response curves, test information curves, and testing of variously constrained models suggested that DSM-IV criteria in the CIDI-SAM discriminate between only impaired and less impaired cases and may not be useful to scale case severity. IRT can be used to study the construct validity of DSM-IV diagnoses and to identify diagnostic criteria with poor performance.