Prevalence and trends in obesity among Austrian conscripts from 1983 to 2017
Bibliographic record
Abstract
Summary This article describes the recent prevalence and trend in weight status in young men over three and half decades among Austrian conscripts overall and by subgroups defined by education and smoking behavior. We extracted medical record data from six medical examination stations across the country of all Austrian military conscripts (aged 17–19 years) recruited between 1983 and 2017 (n = 1.5 million). Weight and height were measured to calculate body mass index (BMI). Mean BMI increased from 22.7 to 24.3 kg/m2 between 1983 and 2017. Over time, the prevalence of obesity (BMI ≥ 30 kg/m2) increased from 1.6% (95% CI 1.6–1.7%) to 8.2% (95% CI 8.1–8.3%). The prevalence of obesity among Austrian young men increased remarkably in the past 35 years. Higher levels of education appeared to be associated with lower prevalence of obesity, particularly among the non-smokers.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".