The Type A-Type B classification in a community sample of problem drinkers: structural and predictive validity

Using Factor Mixture Models to Evaluate the Type A/B Classification of Alcohol Use Disorders in a Heterogeneous Treatment Sample

BACKGROUND

The type A/B classification model for alcohol use disorders (AUDs) has received considerable empirical support. However, few studies examine the underlying latent structure of this subtyping model, which has been challenged as a dichotomization of a single drinking severity dimension. Type B, relative to type A, alcoholics represent those with early age of onset, greater familial risk, and worse outcomes from alcohol use.

METHODS

We examined the latent structure of the type A/B model using categorical, dimensional, and factor mixture models in a mixed-gender community treatment-seeking sample of adults with an AUD.

RESULTS

Factor analytic models identified 2 factors (drinking severity/externalizing psychopathology and internalizing psychopathology) underlying the type A/B indicators. A factor mixture model with 2 dimensions and 3 classes emerged as the best overall fitting model. The classes reflected a type A class and 2 type B classes (B1 and B2) that differed on the respective level of drinking severity/externalizing pathology and internalizing pathology. Type B1 had a greater prevalence of women and more internalizing pathology and B2 had a greater prevalence of men and more drinking severity/externalizing pathology. The 2-factor, 3-class model also exhibited predictive validity by explaining significant variance in 12-month drinking and drug use outcomes.

CONCLUSIONS

The model identified in this study may provide a basis for examining different sources of heterogeneity in the course and outcome of AUDs.

First-time admissions for opioid treatment: cross-sectional and descriptive study of new opioid users seeking treatment

BACKGROUND

The purpose of this study was to gain an understanding of the profiles of the new treatment demands posed by opioid addicts between 2005 and 2010 at the addictive disorders assistance units in Galicia, Spain.

METHODS

A cluster analysis was performed using data from 1,655 treatment entrants. Clusters were constructed using sociodemographic and medicolegal variables. A cluster analysis was also conducted according to age. Once clusters were defined, their association with the following variables was analyzed: age at first use of opioids, years of use, frequency of opioid use in the previous month, psychiatric treatment, cocaine use, existence of a drug-dependent partner, and source of referral.

RESULTS

Four clusters were obtained in the main analysis. Cluster 1 (34.01%) consisted of young males, cluster 2 (16.19%) consisted of not-so-young males, cluster 3 (32.62%) consisted mainly of older males and a small group of females, and cluster 4 (17.18%) was made up entirely of women. With regard to age-related clusters, two clusters were obtained in those under the age of 30 years: cluster 1 (73%) without medicolegal complications and cluster 2 (27%) with medicolegal complications. For those over the age of 30 years, two clusters were obtained: cluster 1 (53.92%) with hardly any medicolegal complications and cluster 2 (46.08%) with medicolegal complications.

CONCLUSION

Cluster analysis suggests that there have been no substantial changes in variables indicating greater severity in this new group of patients. Women are likely to seek help earlier, which reduces their duration of opioid use. The younger the patient, the shorter the duration of opioid use and the greater the likelihood of cessation of intravenous use. Public health systems should use a two-pronged treatment strategy of short but intense cessation therapies for women and younger treatment entrants and longer maintenance and replacement therapies for older treatment entrants with more psychosocial and medical complications.

Health-related quality of life in alcohol dependence: a systematic literature review with a specific focus on the role of depression and other psychopathology

BACKGROUND

Health-related quality of life (HRQOL) is considered a valid measure of treatment effectiveness in addictions. However, alcohol research has lagged behind other biomedical fields in using HRQOL outcomes as primary or secondary endpoints. Previous work has suggested that psychiatric co-morbidity may mediate the relationship between alcohol dependence and HRQOL.

AIM

The goal was to summarize the literature on HRQOL and its domains in the context of alcohol dependence. A specific focus was on the impact of depression and other psychopathology on these areas of life.

MATERIALS AND METHODS

A database search of MEDLINE and PsychINFO was performed within the scope of PARADISE (Psychosocial fActors Relevant to brAin DISorders in Europe); a European Commission funded coordination action. Using pre-defined eligibility criteria, 42 studies were identified. A systematic approach to data collection was employed.

RESULTS AND CONCLUSIONS

Alcohol dependence was shown to affect overall HRQOL and its domains, including general health, physical and mental health, general and social functioning, activities of daily living, pain and sleep. The evidence demonstrating that alcohol dependence is a primary cause of impairments in overall HRQOL, general health, mental and physical health and social functioning was fairly strong. Treatment interventions helped improve HRQOL and its aforementioned domains. The reduction or cessation of alcohol use facilitated these improvements; however, it was not reported to be predictive of improvement in all instances where improvement was reported. Depression was associated with further decreases in HRQOL. Personality disorders contributed to the severity of social functioning impairment.

Applicability of Type A/B alcohol dependence in the general population

BACKGROUND

This study examined the concurrent and predictive validity of Type A/B alcohol dependence in the general population-a typology developed in clinical populations to gauge severity of dependence.

METHODS

Data were drawn from Waves 1 and 2 of the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC). The sample included 1,172 alcohol-dependent drinkers at baseline who were reinterviewed three years later. Latent class analysis was used to derive Type A/B classification using variables replicating the original Type A/B typology. Predictive validity of the Type A/B classification was assessed by multivariable linear and logistic regressions.

RESULTS

A two-class solution consistent with Babor's original Type A/B typology adequately fit the data. Type B alcoholics in the general population, compared to Type As, had higher alcohol severity and more co-occurring drug, mental, and physical health problems. In the absence of treatment services utilization, Type B drinkers had two times the odds of being alcohol dependent three years later. Among those who utilized alcohol treatment services, Type B membership was predictive of heavy drinking and drug dependence, but not alcohol dependence, three years later.

CONCLUSIONS

Findings suggest that Type A/B classification is both generalizable to, and valid within, the US general population of alcohol dependent drinkers. Results highlight the value of treatment for mitigating the persistence of dependence among Type B alcoholics in the general population. Screening for markers of vulnerability to Type B dependence could be of clinical value for health care providers to determine appropriate intervention.

Two types of classification in female alcoholism

Two types of alcoholism with distinct clinical features and mode of inheritance have been identified in male alcoholics. The relevant studies, however, have given consistent results in men but not in women. The current study tested the hypothesis that the type I and II classification is also valid in women. A sample of 103 hospitalised alcohol-dependent women were given face-to-face structured interviews considering four different classification criteria sets devised for differentiation of alcoholism type I and II and type A and B along with SCID I and II. The two types of classification could be replicated with three of the four criteria sets, 73 women being allocated to the larger cluster C1, and 30 women to a smaller cluster C2. Comparing the patients from both clusters with each other, eight variables were identified which excellently discriminate between the groups. The two types of classification for alcoholism could also be found in a female sample. A type II of female alcohol-dependent patient was identified, characterized by parental alcoholism and paternal and patient's tendency for violent behavior. Type I lacks these characteristics. Early identification of the type II female alcoholic may be clinically important.