Predictors of first incidence of alcohol use disorders in the Lundby cohort from 1947-1997
Bibliographic record
Abstract
Mattisson, C., Bogren, M., Horstmann, V., & Öjesjö, L. (2014). Predictors of first incidence of alcohol use disorders in the Lundby cohort from 1947-1997. The International Journal Of Alcohol And Drug Research, 3(4), 257-267. doi:http://dx.doi.org/10.7895/ijadr.v3i4.185Objective: Epidemiological evidence indicates an inverse relationship between socio-economic status (SES) and alcohol use disorder (AUD), although there are relatively few recent incidence studies. The present study aimed to assess the incidence of AUD by age, gender and SES and to analyse AUD’s association with mental disorder.Method: Information about mental disorders, including first incidence cases of AUD, was assessed in the Lundby cohort (n=3,563) by field investigations in 1947, 1957, 1972 and 1997. Incidence calculations were based on 3,372 individuals without prior AUD. For the two genders, age-standardised incidences of AUD for the 25-year periods of 1947-1972 and 1972-1997 were compared. Possible risk factors for incident AUD were analysed by means of Cox regression analyses for the whole sample and for each sex separately.Results: A total of 233 first incidence AUD cases were detected (198 males, 35 females. Incidence rates, expressed as number of cases per 1000 person years, were highest for working class males at 5.46 cases per 1000 person years for the period 1 of July 1947, to 30 June 1972 and 4.77 for the period 1 of July 1972 to 30 June 1997, respectively. Middle class males showed intermediate incidence rates of 2.73 and 2.65. Self-employed males showed the lowest incidence rates of 2.50 and 1.47. Females generally had much lower incidence, although they showed a non-significant tendency for higher incidence rates in the latter period. A diagnosis of depressive disorders, anxiety disorders and unspecific neurotic states increased the risk for developing first incident AUD.Conclusion: Working class males had higher annual incidence of alcoholism in both time periods relative to middle class and self-employed males. Mental disorder increased the risk for AUD among both genders.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".