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Title: | Pre-screening Ability of the Functional-Belief-Based Alcohol Use Questionnaire (FBAQ) among Chiang Mai University Undergraduates: An External Validation Study |
Authors: | Phichayut Phinyo Nat Ungrungseesopon Nutthida Namsongwong Onwara Visavakul Sirawit Chaiya Thanatat Wattananukorn Sirada Lo Buglio Supawitch Chotirosniramit Apitchaya Wannatung Ekkamon Dilokkhamaruk Chaisiri Angkurawaranon Wichuda Jiraporncharoen Nalinee Yingchankul |
Authors: | Phichayut Phinyo Nat Ungrungseesopon Nutthida Namsongwong Onwara Visavakul Sirawit Chaiya Thanatat Wattananukorn Sirada Lo Buglio Supawitch Chotirosniramit Apitchaya Wannatung Ekkamon Dilokkhamaruk Chaisiri Angkurawaranon Wichuda Jiraporncharoen Nalinee Yingchankul |
Keywords: | Medicine;Pharmacology, Toxicology and Pharmaceutics |
Issue Date: | 1-Oct-2021 |
Abstract: | Background: High-risk drinking behavior is common in university students, which often leads to negative consequences. Several standard screening tools to identify high-risk drinkers have been validated in this domain. However, most tools rely on drinking frequency and require standard drink calculations. The Functional-Belief-Based Alcohol use Questionnaire (FBAQ) was recently proposed as a pre-screening tool for high-risk drinkers in the young adult population. We aimed to validate the pre-screening accuracy of the FBAQ when applied to external data of university undergraduates. Methods: Data from two prospective cross-sectional surveys of Chiang Mai University undergraduates were used for validation of the FBAQ. A high-risk drinker was defined as a person with the 12-month AUDIT score ≥ 8. Pre-screening performance and accuracy indices were presented separately for dataset I, dataset II, and the combined dataset. The pooled area under the receiver operating characteristic curve (AuROC), sensitivity, and specificity were estimated using individual patient data meta-analysis methods. Results: From the two datasets, 1641 students were included, 811 students in 2019 and 830 students in 2020. Of these, 387 (23.6 %) students were classified as high-risk drinkers. The combined AuROC of the FBAQ score was 0.83 (95 %CI 0.75–0.92) in discriminating high-risk drinkers. The pooled sensitivity and specificity at the FBAQ score cutoff ≥ 6 were 92.8 % (95 %CI 88.0–95.7 %) and 51.6 % (95 %CI 41.1–62.0 %). Conclusions: In this external validation, the FBAQ shows excellent discriminative ability and is proven to be highly sensitive in detecting high-risk drinkers among Chiang Mai University undergraduates. Therefore, incorporating the FBAQ as a pre-screening tool to the AUDIT could make the initiation of the screening process easier and reduce extensive AUDIT evaluations in students with low risk. |
URI: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85114168630&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/77009 |
ISSN: | 18790046 03768716 |
Appears in Collections: | CMUL: Journal Articles |
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