Dataset Information

Gender differences in the factor structure of the Alcohol Use Disorders Identification Test in multinational general population surveys.

ABSTRACT: Most gender-specific studies of the Alcohol Use Disorders Identification Test (AUDIT) have focused on gender differences in thresholds for hazardous drinking. This study examines gender differences in the factor structure of the AUDIT in general-population surveys.General-population surveys from 15 countries provided 27,478 current drinkers' responses to the AUDIT and related measures. We used single-group confirmatory factor analysis (CFA) to evaluate goodness-of-fit of three hypothesized models for responses to the AUDIT by men and women in each country. Bayesian Information Criteria (BIC) using a maximum likelihood robust (MLR) estimator was evaluated to identify the best fitted model. We then assessed factorial invariance within country surveys where fit indices were acceptable for both genders. Gender-specific internal consistency and concurrent validity were also evaluated in all 15 countries.CFA revealed that the fit indices of 2-factor or 3-factor models were consistently better than fit indices for a 1-factor model in 14 of 15 countries. Comparisons of BIC values indicated that the 2-factor solution was the best fitted model. Factorial invariance tests in data from 3 countries indicated that the factor loadings and thresholds of the AUDIT were invariant across gender. The internal reliability and concurrent validity of AUDIT and its subscales were acceptable in both genders.A two-factor model best describes AUDIT responses across general-population surveys in 12 of 15 countries, with acceptable internal reliability and concurrent validity, and supports a gender-invariant structure in at least three of those countries.

SUBMITTER: Peng CZ

PROVIDER: S-EPMC3361583 | biostudies-other | 2012 Jul

REPOSITORIES: biostudies-other

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Gender differences in the factor structure of the Alcohol Use Disorders Identification Test in multinational general population surveys.

Peng Chun-Zi CZ Wilsnack Richard W RW Kristjanson Arlinda F AF Benson Perry P Wilsnack Sharon C SC

Drug and alcohol dependence 20120110 1-2

<h4>Background</h4>Most gender-specific studies of the Alcohol Use Disorders Identification Test (AUDIT) have focused on gender differences in thresholds for hazardous drinking. This study examines gender differences in the factor structure of the AUDIT in general-population surveys.<h4>Methods</h4>General-population surveys from 15 countries provided 27,478 current drinkers' responses to the AUDIT and related measures. We used single-group confirmatory factor analysis (CFA) to evaluate goodness ...[more]

PMID: 22236536

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Project description:ObjectiveGenome-wide association studies (GWASs) of the Alcohol Use Disorders Identification Test (AUDIT), a 10-item screen for alcohol use disorder (AUD), have elucidated novel loci for alcohol consumption and misuse. However, these studies also revealed that GWASs can be influenced by numerous biases (e.g., measurement error, selection bias), which may have led to inconsistent genetic correlations between alcohol involvement and AUD, as well as paradoxically negative genetic correlations between alcohol involvement and psychiatric disorders and/or medical conditions. The authors used genomic structural equation modeling to elucidate the genetics of alcohol consumption and problematic consequences of alcohol use as measured by AUDIT.MethodsTo explore these unexpected differences in genetic correlations, the authors conducted the first item-level and the largest GWAS of AUDIT items (N=160,824) and applied a multivariate framework to mitigate previous biases.ResultsThe authors identified novel patterns of similarity (and dissimilarity) among the AUDIT items and found evidence of a correlated two-factor structure at the genetic level ("consumption" and "problems," rg=0.80). Moreover, by applying empirically derived weights to each of the AUDIT items, the authors constructed an aggregate measure of alcohol consumption that was strongly associated with alcohol dependence (rg=0.67), moderately associated with several other psychiatric disorders, and no longer positively associated with health and positive socioeconomic outcomes. Lastly, by conducting polygenic analyses in three independent cohorts that differed in their ascertainment and prevalence of AUD, the authors identified novel genetic associations between alcohol consumption, alcohol misuse, and health.ConclusionsThis work further emphasizes the value of AUDIT for both clinical and genetic studies of AUD and the importance of using multivariate methods to study genetic associations that are more closely related to AUD.

Project description:ObjectiveAlcohol use disorders are common conditions that have enormous social and economic consequences. Genome-wide association analyses were performed to identify genetic variants associated with a proxy measure of alcohol consumption and alcohol misuse and to explore the shared genetic basis between these measures and other substance use, psychiatric, and behavioral traits.MethodThis study used quantitative measures from the Alcohol Use Disorders Identification Test (AUDIT) from two population-based cohorts of European ancestry (UK Biobank [N=121,604] and 23andMe [N=20,328]) and performed a genome-wide association study (GWAS) meta-analysis. Two additional GWAS analyses were performed, a GWAS for AUDIT scores on items 1-3, which focus on consumption (AUDIT-C), and for scores on items 4-10, which focus on the problematic consequences of drinking (AUDIT-P).ResultsThe GWAS meta-analysis of AUDIT total score identified 10 associated risk loci. Novel associations localized to genes including JCAD and SLC39A13; this study also replicated previously identified signals in the genes ADH1B, ADH1C, KLB, and GCKR. The dimensions of AUDIT showed positive genetic correlations with alcohol consumption (rg=0.76-0.92) and DSM-IV alcohol dependence (rg=0.33-0.63). AUDIT-P and AUDIT-C scores showed significantly different patterns of association across a number of traits, including psychiatric disorders. AUDIT-P score was significantly positively genetically correlated with schizophrenia (rg=0.22), major depressive disorder (rg=0.26), and attention deficit hyperactivity disorder (rg=0.23), whereas AUDIT-C score was significantly negatively genetically correlated with major depressive disorder (rg=-0.24) and ADHD (rg=-0.10). This study also used the AUDIT data in the UK Biobank to identify thresholds for dichotomizing AUDIT total score that optimize genetic correlations with DSM-IV alcohol dependence. Coding individuals with AUDIT total scores ≤4 as control subjects and those with scores ≥12 as case subjects produced a significant high genetic correlation with DSM-IV alcohol dependence (rg=0.82) while retaining most subjects.ConclusionsAUDIT scores ascertained in population-based cohorts can be used to explore the genetic basis of both alcohol consumption and alcohol use disorders.

Project description:BackgroundDigital recovery support services (D-RSS) use technology to engage individuals seeking recovery from alcohol use disorder (AUD). Given sparse data on use of these emergent services as well as longstanding and stark gender disparities in use of traditional alcohol treatment services, we sought to quantify lifetime and current D-RSS use and to test associations with several recovery outcomes, with particular attention to gender differences.MethodsWe analyzed data obtained in fall 2020 in a national survey of adults with a resolved alcohol problem (n = 1487). We estimated lifetime and current D-RSS use, prevalence of various types of D-RSS, and related outcomes (e.g., recovery stability, relapse events, quality of life). Stratified logistic regression models identified correlates of D-RSS use for women and men, controlling for demographic and AUD characteristics.ResultsOverall, an estimated 14.9% of the population of adults with a resolved alcohol problem reported lifetime use of D-RSS, with no difference by gender. Current use was lower and was reported by more men than women (9.9% vs. 5.8%, respectively). Men had higher odds of D-RSS use if they had <1 year of recovery (adjusted odds ratio [aOR] 7.84), 1 to 5 years of recovery (aOR 2.17), and if never married (aOR 3.29). Among women, higher odds of D-RSS were associated with AUD symptom count (aOR 1.30), being unemployed (aOR 9.85), and having minor children in the household (aOR 3.58). Among women, there was no association between D-RSS use and recovery stability, relapse events, and quality of life. However, among men D-RSS use was associated with reporting that the COVID-19 pandemic had made it more difficult to resist alcohol or drugs and with lower self-reported quality of life.ConclusionsD-RSS are a promising technological approach to support recovery. There is room to increase their use, and gender-specific approaches may be needed given different correlates of use for women and men. In addition, further research is needed to explore whether D-RSS may confer benefits through similar mechanisms as in-person recovery services.

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Gender differences in the factor structure of the Alcohol Use Disorders Identification Test in multinational general population surveys.

Publications

Gender differences in the factor structure of the Alcohol Use Disorders Identification Test in multinational general population surveys.

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