Predictive Validity of a 2-Question Alcohol Screen at 1-, 2-, and 3-Year Follow-up
The National Institute on Alcohol Abuse and Alcoholism (NIAAA) 2-question screen is a valid adolescent alcohol screening tool. No studies have examined if this tool predicts future alcohol problems. We conducted a study at 16 pediatric emergency departments to determine the tool's predictive va...
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Published in | Pediatrics (Evanston) Vol. 143; no. 3 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
01.03.2019
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Subjects | |
Online Access | Get more information |
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Summary: | The National Institute on Alcohol Abuse and Alcoholism (NIAAA) 2-question screen is a valid adolescent alcohol screening tool. No studies have examined if this tool predicts future alcohol problems. We conducted a study at 16 pediatric emergency departments to determine the tool's predictive validity for alcohol misuse and alcohol use disorders (AUDs).
Participants (
= 4834) completed a baseline assessment battery. A subsample of participants completed the battery at 1, 2, and 3 years follow up.
Of the 2209 participants assigned to follow-up, 1611 (73%) completed a 1-year follow-up, 1591 (72%) completed a 2-year follow-up, and 1377 (62%) completed a 3-year follow-up. The differences in AUDs between baseline NIAAA screen nondrinkers and lower-risk drinkers were statistically significant at 1 year (
= .0002), 2 years (
<.0001), and 3 years (
= .0005), as were the differences between moderate- and highest-risk drinkers at 1 and 2 years (
< .0001 and
= .0088, respectively) but not at 3 years (
= .0758). The best combined score for sensitivity (86.2% at 1 year, 75.6% at 2 years, and 60.0% at 3 years) and specificity (78.1% at 1 year, 79.2% at 2 years, and 80.0% at 3 years) was achieved by using "lower risk" and higher as a cutoff for the prediction of a
diagnosis.
The NIAAA 2-question screen can accurately characterize adolescent risk for future AUDs. Future studies are needed to determine optimaluse of the screen. |
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ISSN: | 1098-4275 |
DOI: | 10.1542/peds.2018-2001 |