Optimizing the use of the audit in alcohol screening for college students
2011
- 268Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage268
- Abstract Views268
Thesis / Dissertation Description
The screening and brief intervention (SBI) modality of treatment for at-risk college drinking is becoming increasingly popular. A key to effective implementation is use of validated screening tools. While the Alcohol Use Disorder Identification Test (AUDIT) has been validated in adult samples and is often used with college students, research has not yet established optimal cut-off scores to screen for both at-risk drinking and diagnostic levels of drinking. A total of 401 current drinkers completed computerized assessments of demographics, family history of alcohol use disorders, alcohol abuse and alcohol dependence, alcohol-related problems, and general health. Of the 401 drinkers, 207 met criteria for at-risk drinking and 194 did not. A total of 178 met criteria for an alcohol use disorder (AUD) diagnosis and 223 did not. Receiver-operating characteristic (ROC) curve analysis revealed that the AUDIT performed better than chance in detecting at-risk drinkers. The AUDIT-C performed significantly better than the AUDIT in the detection of at-risk drinking and a total score of 6 is the recommended cut-off. Gender differences emerged in the criterion validity of the AUDIT-C. A total score of 7 should be used for males and a score of 5 should be used for females. For AUD detection, the AUDIT performed better than chance and an overall cut-off score of 10 is recommended. Gender-differences existed and total scores of 7 for females and 10 for males are recommended. The AUDIT performed significantly better than the AUDIT-C in the detection of AUD. Thus, the AUDIT-C is a better screening tool for at-risk drinking than the full-scale AUDIT, whereas the AUDIT performs better than the AUDIT-C in the screening of alcohol use disorders. Use of gender-specific cut-off scores when using either the AUDIT-C for at-risk drinking or the AUDIT for AUD screening is recommended.
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