Alcohol Use Before and During Pandemics and Quarantine Restrictions in Iceland. COVID-19, 2020 –2021
Bibliographic record
Abstract
This study was designed to explore if alcohol consumption patterns had changes among Icelanders following the pandemic restrictions and lockdown in two times points. Questioners was carried out in May 2020 five months after the pandemic and restrictions COVID-19 were established in Iceland and again ten months later in March 2021. The research questions were as follows. Firstly, did individuals drink more or less alcoholic beverages than usual in the last two months than last twelve months before? Secondly, have individuals been drunk (5 or more drinks in the same sitting) more often or less in the last two months than last twelve months before? And thirdly, participants were also asked about their background, such as gender, age, education, work, marital status, household and monthly income related to those questions. Quantitative methods were used, the data collection was conducted in May 2020 and March 2021. In the year 2020, a random sample of 850 participants answered questions about their alcohol consumption at the time point compared to last twelve months for May of 2020 and in March 2021 another 864 randomly selected participants answered the same survey. The participants answered the questions on a five-point Likert scale. The data was analysed descriptively. More than a half of the participants did not experience any changing in their alcohol consumption. Further, participants experienced less frequent drinking and fewer drinks during the pandemic and lockdown compering to the last twelve months before the survey both 2020 and 2021. Interesting results of this study include the fact that alcohol consumption seems to increase between the two years or as the epidemic progressed. Further, the participants who answered the survey and lived with their families, i.e. spouses and children, reported the most changes in their alcohol consumption between the years of 2020 and 2021.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".