Alcohol use among adolescents in Macao during COVID-19: a latent class analysis
Alcohol use among adolescents in Macao during COVID-19: a latent class analysis
Objective: the objective of this study was to estimate the prevalence of past alcohol use and to evaluate patterns of alcohol use among Chinese adolescents.
Methods: 1,707 students from 11 high schools in Macao (SAR) China self-reported their alcohol use measured by the Alcohol Use Disorder Identification Test (AUDIT). Latent class analysis and multinomial logistic regression were conducted to examine patterns of drinking and their correlates with alcohol-related use problems.
Results: the prevalence of past alcohol use and problematic alcohol use (AUDIT ≥8) was 26.0% and 3.2%, respectively. Latent class analysis demonstrated that a five-class model best fit the participants’ alcohol use patterns, including a heavy consumption group, two moderate consumption groups and two light consumption groups. Compared with the light consumption group, adolescents over the age of 15 (vs. 15 years or younger) were more likely to be classified into the moderate consumption group with mild negative consequences, and adolescents who smoked were more likely to be classified into all other groups vs. the reference group.
Conclusion: the results suggest a high prevalence of alcohol use and several sub-groups were at increased odds of alcohol related harms.
adolescents, Alcohol use, COVID-19, drinking pattern, multinomial logistic regression
Sun, Hongyi
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Sit, Hao Fong
22e4c536-d503-42f0-8210-d125a63e08c7
Chen, Chun
81103c7f-4601-4d19-a7ef-e41147209465
Lu, Jingyi
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Cheong, Io Hong
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Goldman, Emily
e330d349-ad10-4eb7-bb87-dd35dc2f5444
Hall, Brian J.
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Sun, Hongyi
f8ca1e0e-b073-49c2-a489-4d0cbc27b4f1
Sit, Hao Fong
22e4c536-d503-42f0-8210-d125a63e08c7
Chen, Chun
81103c7f-4601-4d19-a7ef-e41147209465
Lu, Jingyi
8a112ccf-e8b6-4328-91e6-f7bfffa1b1e2
Cheong, Io Hong
fd2e10cd-0a47-4a85-8619-5e0e80ceb79c
Goldman, Emily
e330d349-ad10-4eb7-bb87-dd35dc2f5444
Hall, Brian J.
1b775277-a0e7-444b-a3eb-5b69358c6982
Sun, Hongyi, Sit, Hao Fong, Chen, Chun, Lu, Jingyi, Cheong, Io Hong, Goldman, Emily and Hall, Brian J.
(2023)
Alcohol use among adolescents in Macao during COVID-19: a latent class analysis.
Journal of Substance Use.
(doi:10.1080/14659891.2023.2284941).
Abstract
Objective: the objective of this study was to estimate the prevalence of past alcohol use and to evaluate patterns of alcohol use among Chinese adolescents.
Methods: 1,707 students from 11 high schools in Macao (SAR) China self-reported their alcohol use measured by the Alcohol Use Disorder Identification Test (AUDIT). Latent class analysis and multinomial logistic regression were conducted to examine patterns of drinking and their correlates with alcohol-related use problems.
Results: the prevalence of past alcohol use and problematic alcohol use (AUDIT ≥8) was 26.0% and 3.2%, respectively. Latent class analysis demonstrated that a five-class model best fit the participants’ alcohol use patterns, including a heavy consumption group, two moderate consumption groups and two light consumption groups. Compared with the light consumption group, adolescents over the age of 15 (vs. 15 years or younger) were more likely to be classified into the moderate consumption group with mild negative consequences, and adolescents who smoked were more likely to be classified into all other groups vs. the reference group.
Conclusion: the results suggest a high prevalence of alcohol use and several sub-groups were at increased odds of alcohol related harms.
Text
Accepted Manuscript
- Accepted Manuscript
More information
Accepted/In Press date: 12 November 2023
e-pub ahead of print date: 21 November 2023
Keywords:
adolescents, Alcohol use, COVID-19, drinking pattern, multinomial logistic regression
Identifiers
Local EPrints ID: 485808
URI: http://eprints.soton.ac.uk/id/eprint/485808
ISSN: 1465-9891
PURE UUID: f7cdad26-5c19-4282-9bdd-dabaaf4473a1
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Date deposited: 19 Dec 2023 18:00
Last modified: 21 Nov 2024 05:01
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Contributors
Author:
Hongyi Sun
Author:
Hao Fong Sit
Author:
Chun Chen
Author:
Jingyi Lu
Author:
Io Hong Cheong
Author:
Emily Goldman
Author:
Brian J. Hall
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