An Assessment of the Demographic and Clinical Correlates of the Dimensions of Alcohol Use Behaviour

Smith, Gillian W.; Shevlin, Mark; Murphy, Jamie; Houston, James E.

doi:10.1093/alcalc/agq052

Cited by 16 publications

(23 citation statements)

References 46 publications

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“…Using the total AUDIT score may obscure more complex relationships with socio-demographic and behavioural factors. This conclusion parallels that from other recent research that also emphasizes the need to look separately at multiple dimensions of the AUDIT when investigating issues of aetiology (Smith et al ., 2010). …”

Section: Discussionsupporting

confidence: 87%

“…The only other study of AUDIT dimensions in relation to employment we have found was from the UK. This reported an association with employment status measured by economic activity and inactivity and the alcohol-related problems domain of the AUDIT but not the consumption domain (Smith et al ., 2010). However, studies using other measures of alcohol consumption patterns have shown higher levels of both alcohol consumption and problem drinking in men who are unemployed (Lee et al ., 1990; Montgomery et al ., 1998; Bobak et al ., 1999; Halme et al ., 2008; Virtanen et al ., 2008).…”

Section: Discussionmentioning

confidence: 99%

“…Several recent studies have found that demographic and clinical variables do not show the same relationships with different dimensions of the AUDIT (Shevlin and Smith, 2007; Smith et al ., 2010). In this paper, we set out to (i) investigate the factor structure of AUDIT in a population sample in Russia and (ii) investigate the relationship between socio-demographic variables and dimensions of alcohol drinking patterns and consequences as measured by the AUDIT.…”

Section: Introductionmentioning

confidence: 99%

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Socio-demographic Predictors of Dimensions of the AUDIT Score in A Population Sample of Working-age Men in Izhevsk, Russia

Cook

Stavola

Saburova

et al. 2011

Alcohol and Alcoholism

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Aims: To investigate the relationship between socio-demographic factors and alcohol drinking patterns identified through a formal analysis of the factor structure of the Alcohol Use Disorders Identification Test (AUDIT) score in a population sample of working-age men in Russia. Methods: In 2008–2009, a sample of 1005 men aged 25–59 years living in Izhevsk, Russia were interviewed and information collected about socio-demographic circumstances. Responses to the AUDIT questions were obtained through a self-completed questionnaire. Latent dimensions of the AUDIT score were determined using confirmatory factor analysis and expressed as standard deviation (SD) units. Structural equation modelling was used to estimate the strength of association of these dimensions with socio-demographic variables. Results: The AUDIT was found to have a two-factor structure: alcohol consumption and alcohol-related problems. Both dimensions were higher in men who were unemployed seeking work compared with those in regular paid employment. For consumption, there was a difference of 0.59 SDs, (95% confidence interval (CI): 0.23, 0.88) and for alcohol-related problems one of 0.66 SD (95% CI: 0.31, 1.00). Alcohol-related problems were greater among less educated compared with more educated men (P-value for trend = 0.05), while consumption was not related to education. Similar results were found for associations with an amenity index based on car ownership and central heating. Neither dimension was associated with marital status. While we found evidence that the consumption component of AUDIT was underestimated, this did not appear to explain the associations of this dimension with socio-demographic factors. Conclusions: Education and amenity index, both measures of socio-economic position, were inversely associated with alcohol-related problems but not with consumption. This discordance suggests that self-reported questions on frequency and volume may be less sensitive markers of socio-economic variation in drinking than are questions about dependence and harm. Further investigation of the validity of the consumption component of AUDIT in Russia is warranted as it appears that the concept of a standard ‘drink’ as used in the instrument is not understood.

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Section: Discussionsupporting

confidence: 87%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Socio-demographic Predictors of Dimensions of the AUDIT Score in A Population Sample of Working-age Men in Izhevsk, Russia

Cook

Stavola

Saburova

et al. 2011

Alcohol and Alcoholism

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“…They also contrast with several other studies that support a two-factor model, with the first 3 items loading on a factor usually labeled as “alcohol consumption” and the remaining items loading on a second factor labeled “alcohol-related problems (Shields, Guttmannova, & Caruso, 2004; Smith, Shevlin, Murphy, & Houston, 2010). …”

Section: Discussioncontrasting

confidence: 61%

Evaluating Shortened Versions of the AUDIT as Screeners for Alcohol Use Problems in a General Population Study

Nayak

Bond

Greenfield

2015

Substance Use & Misuse

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Background Efficient alcohol screening measures are important to prevent or treat alcohol use disorders (AUDs). Objectives We studied different versions of the Alcohol Use Disorders Identification Test (AUDIT) comparing their performance to the full AUDIT and an AUD measure as screeners for alcohol use problems in Goa, India. Methods Data from a general population study on 743 male drinkers aged 18 to 49 years are reported. Drinkers completed the AUDIT and an AUD measure. We created shorter versions of the AUDIT by a) collapsing AUDIT item responses into 3 and 2 categories and b) deleting 2 items with the lowest factor loadings. Each version was evaluated using factor, reliability and validity, and differential item functioning (DIF) analysis by age, education, standard of living index (SLI), and area of residence. Results A single factor solution was found for each version with lower factor loadings for items on guilt and concern. There were no significant differences among the different AUDIT versions in predicting AUD. No significant DIF was found by education, SLI or area of residence. DIF was observed for the alcohol frequency item by age. Conclusions/Importance The AUDIT may be used with dichotomized response options without loss of predictive validity. A shortened 8-item dichotomized scale can adequately screen for AUDs in Goa when brevity is of paramount importance, although with lower predictive validity. Although the frequency item was endorsed more by older men, there is no evidence that the AUDIT items perform differently in other groups of male drinkers in Goa.

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“…The 2 types of excessive drinking are each associated with serious health risks (World Health Organization, 2000) and with alcohol-related problems (Caetano et al, 2012;Gmel et al, 2001). Co-occurrence of both types of excessive drinking may point to a small but serious group of alcohol users with a severe problematic drinking pattern in itself (Smith et al, 2010). In the remainder of this article, excessive alcohol consumption (EAC) will refer to this combination of excessive drinking types.…”

mentioning

confidence: 99%

The Relationship Between Excessive Alcohol Consumption and Alcohol Use Disorders According to DSM-IV and DSM-5

Tuithof

Have

Brink

et al. 2013

Alcohol Clin Exp Res

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An Assessment of the Demographic and Clinical Correlates of the Dimensions of Alcohol Use Behaviour

Cited by 16 publications

References 46 publications

Socio-demographic Predictors of Dimensions of the AUDIT Score in A Population Sample of Working-age Men in Izhevsk, Russia

Socio-demographic Predictors of Dimensions of the AUDIT Score in A Population Sample of Working-age Men in Izhevsk, Russia

Evaluating Shortened Versions of the AUDIT as Screeners for Alcohol Use Problems in a General Population Study

The Relationship Between Excessive Alcohol Consumption and Alcohol Use Disorders According to DSM-IV and DSM-5

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