Alcohol consumption in Ireland 2013: analysis of a national alcohol diary survey.
Bibliographic record
Abstract
The main objective of the National Alcohol Diary Survey was to estimate personal consumption of, and expenditure on, alcohol among the general population aged 18–75 years living in private households in Ireland. The survey included a comprehensive series of questions on both the rates and patterns of alcohol consumption in Ireland and on alcohol-related harm, and it involved interviewing 5,991 respondents in 3,897 households. The respondents were randomly selected using a two-stage probability sampling procedure. The survey was completed between July and October 2013, and achieved a household response rate of 67.2% and a within-household response rate of 77.1%. The survey population was weighted by age, gender and regional distribution, to ensure that the survey population mirrored the Central Statistics Office’s population estimates for 2013. General alcohol consumption patterns – key findings: • The rate of abstinence, defined as consuming no alcohol in the previous 12 months, was 20.6% (95% confidence interval, CI, 19.2%–22.1%) among 18–75-year-olds. • Almost two-thirds (63.9%) of males and half (51.4%) of females started drinking alcohol before the age of 18 years. • 77% (4,647) of respondents consumed alcohol in the 12 months prior to the survey and 69% (3,187) of drinkers consumed alcohol in the week prior to the survey. • Just over one-quarter (26.1%) of drinkers reported consuming one to two standard drinks per drinking occasion, which is less than the 30% of drinkers in the 2007 SLAN survey. One to two standard drinks amounts to 10–20g of pure alcohol (and equates with one-half or one pint of beer, one to two pub measures of spirits, or 100 to 200ml of wine) and is within the HSE’s recommended low-risk daily alcohol consumption limits. • Almost one-quarter (24.1%) of drinkers aged 18–24 years consumed alcohol at least twice weekly and 64.3% consumed six or more standard drinks (which equates with 60g of alcohol or more, for example, three or more pints of beer, six or more pub measures of spirits, or 600ml or more of wine) on a typical drinking occasion. This equates with the criteria for risky single-occasion drinking or binge drinking. • The vast majority, two-in-three (66.8%) drinkers and four-in-five (80.3%) male drinkers, consumed six or more standard drinks on the occasion that they consumed the highest number of standard drinks in the last year.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".