| Literature DB >> 29922731 |
Kyung Wan Lee1, Yoon Hee Choi2, Jae Hee Lee3.
Abstract
PURPOSE: To reduce problems caused by alcohol drinking, it is necessary to identify those with 'at-risk drinking' behavior to maximize therapeutic access or intervention. To this end, we sought to determine the cut-off point for screening of at-risk drinking by the Korean version of the AUDIT-C (Alcohol Use Disorder Identification Test-Consumption).Entities:
Keywords: Alcohol drinking; Mass screening; Substance abuse detection
Year: 2018 PMID: 29922731 PMCID: PMC6005919 DOI: 10.1016/j.tjem.2018.03.001
Source DB: PubMed Journal: Turk J Emerg Med ISSN: 2452-2473
Alcohol use disorder identification test consumption (AUDIT-C) questionnaire.
| 1. How often do you have a drink containing alcohol? | (0) Never |
| (1) Monthly or less | |
| (2) 2 to 4 times a month | |
| (3) 2 to 3 times a week | |
| (4) 4 or more times a week | |
| 2. How many drinks containing alcohol do you have on a typical day when you are drinking? | (0) 1 or 2 |
| (1) 3 or 4 | |
| (2) 5 or 6 | |
| (3) 7, 8, or 9 | |
| (4) 10 or more | |
| 3. How often do you have six or more drinks on one occasion? | (0) Never |
| (1) Less than monthly | |
| (2) Monthly | |
| (3) Weekly | |
| (4) Daily or almost daily |
AUDIT-C: alcohol use disorder identification test-consumption.
Demographic characteristics of study population.
| Age (years, mean ± SD) | 39.4 ± 14.5 |
| Gender | |
| Male (%) | 375 (58.6) |
| Female (%) | 265 (41.4) |
| Elderly (over 65 years, %) | 38 (5.9) |
| Mechanisms of injury (%) | |
| Slip down | 205 (32.0) |
| Blunt trauma | 133 (20.8) |
| Stabbing/cutting | 83 (13.0) |
| Traffic accident | 91 (14.2) |
| Assault | 42 (6.6) |
| Self-harm | 4 (0.6) |
| Fall down | 9 (1.4) |
| Etc. | 73 (11.5) |
| Drunken within 6 h (%) | |
| Yes | 113 (17.7) |
| No | 527 (82.3) |
| Diagnosis (%) | |
| Laceration | 250 (39.1) |
| Contusion | 130 (20.3) |
| Sprain | 78 (12.2) |
| Fracture | 74 (11.6) |
| Concussion | 38 (5.9) |
| Foreign body | 21 (3.3) |
| Abrasion | 13 (2.0) |
| Burn | 9 (1.4) |
| Dislocation | 7 (1.1) |
| Etc. | 20 (3.1) |
| Risk drinking (AUDIT ≥ 8, %) | |
| Yes | 495 (77.3) |
| No | 145 (22.7) |
Fig. 1ROC curves of AUDIT-C of men, women and elders groups (≥65 age).
Cut-off points of AUDIT-C for at-risk drinking.
| Group | AUC | SE | P-point | 95% CI | Cut-off | Sensitivity | Specificity | |
|---|---|---|---|---|---|---|---|---|
| Men | 0.956 | 0.01 | 0 | 0.937 | 0.975 | 2 | 1.000 | 0.346 |
| 3 | 0.992 | 0.508 | ||||||
| 4 | 0.992 | 0.633 | ||||||
| 5 | 0.958 | 0.804 | ||||||
| 6 | 0.866 | 0.888 | ||||||
| 7 | 0.739 | 0.946 | ||||||
| Women | 0.966 | 0.013 | 0 | 0.941 | 0.991 | 2 | 1.000 | 0.671 |
| 3 | 0.960 | 0.833 | ||||||
| 4 | 0.960 | 0.867 | ||||||
| 5 | 0.880 | 0.917 | ||||||
| 6 | 0.680 | 0.967 | ||||||
| 7 | 0.560 | 0.987 | ||||||
| Elderly | 0.972 | 0.031 | 0.026 | 0 | 1 | 2 | 1.000 | 0.778 |
| 3 | 1.000 | 0.889 | ||||||
| 4 | 1.000 | 0.917 | ||||||
| 5 | 0.500 | 0.972 | ||||||
| women | 0.979 | 0.009 | 0 | 0.962 | 0.997 | 2 | 1.000 | 0.691 |
| 3 | 0.969 | 0.858 | ||||||
| 4 | 0.969 | 0.893 | ||||||
| 5 | 0.906 | 0.944 | ||||||
| 6 | 0.688 | 0.987 | ||||||
| 7 | 0.531 | 1.000 | ||||||
| elderly | 0.972 | 0.031 | 0.026 | 0 | 1 | 2 | 1.000 | 0.778 |
| 3 | 1.000 | 0.889 | ||||||
| 4 | 1.000 | 0.917 | ||||||
| 5 | 0.500 | 0.972 | ||||||
AUDIT-C: alcohol use disorder identification test-consumption; AUC: area under curve; CI: confidential interval.
Fig. 2Schema about method and criteria of screening for alcohol drinking, on the basis of algorithm of screening for drinking behavior recommended by NIAAA. *: five or more drinks (male), four or more drinks (female) per day.