| Literature DB >> 35224173 |
Teresa O'Rourke1, Rachel Dale1, Elke Humer1, Paul Plener2,3, Christoph Pieh1.
Abstract
This study assessed problematic alcohol use in Austrian apprentices during the COVID-19 pandemic. An online survey was performed via REDCap with a sample of 1442 apprentices (53.3% female, 45.4% male, 1.1% non-binary, 28.4% migration background) from 29th March to 18th May 2021. The CAGE questionnaire was used to measure problematic alcohol use. Chi-square tests revealed that problematic alcohol use was more likely in apprentices with depressive symptoms (OR: 2.1), anxiety (OR: 2.1) or insomnia (OR: 1.4) and those over 18 (OR: 1.6). There were no differences in problematic alcohol use according to gender, migration background, or lockdown status.Entities:
Keywords: Alcohol use; Apprentices; CAGE questionnaire; COVID-19
Year: 2022 PMID: 35224173 PMCID: PMC8863361 DOI: 10.1016/j.abrep.2022.100414
Source DB: PubMed Journal: Addict Behav Rep ISSN: 2352-8532
Number and percentage of apprentices above and below the cut-off for problematic alcohol use according to sociodemographic factors.
| No problematic alcohol use | Problematic alcohol use | Total | |
|---|---|---|---|
| <18 | 582 (89.8%) | 66 (10.2%) | 648 (100%) |
| 18+ | 657 (85%) | 119 (15%) | 794 (100%) |
| Female | 675 (87.5%) | 96 (12.5%) | 771 (100%) |
| Male | 569 (86.9%) | 86 (13.1%) | 655 (100%) |
| Non-binary | 13 (81.3%) | 3 (18.8%) | 16 (100%) |
| Yes | 365 (86.9%) | 55 (13.1%) | 420 (100%) |
| No | 892 (87.3%) | 130 (12.7%) | 1022 (100%) |
| Yes | 735 (58.5%) | 104 (56.2%) | 839 (100%) |
| No | 552 (41.5%) | 81 (43.8%) | 603 (100%) |
| Total | 1257 (87.2%) | 185 (12.8%) | 1442 (100%) |
Number and percentage of apprentices above and below the cut-off for problematic alcohol use according to mental health symptoms.
| No problematic alcohol use | Problematic alcohol use | Total | |
|---|---|---|---|
| Under cut-off | 680 (54.1%) | 66 (35.7%) | 746 (100%) |
| Over cut-off | 577 (45.9%) | 119 (64.3%) | 696 (100%) |
| Under cut-off | 842 (67.0%) | 90 (48.6%) | 932 (100%) |
| Over cut-off | 415 (33.0%) | 95 (51.4%) | 510 (100%) |
| Under cut-off | 929 (73.9%) | 124 (67.0%) | 1053 (100%) |
| Over cut-off | 328 (26.1%) | 61 (33.0%) | 389 (100%) |
| Total | 1257 (87.2%) | 185 (12.8%) | 1442 (100%) |