The association between sugary food and drinks intake and the risk of stroke mortality in the adventist health study-2
Bibliographic record
Abstract
A high consumption of added sugar has been associated with several cardiovascular risk factors, including obesity, type 2 diabetes mellitus and dyslipidemia. The main goal was to assess the association of sugary food and drink intake on the risk of stroke mortality. The Adventist Health Study-2 (AHS-2) is a prospective study with approximately 96,000 participants from the United States and Canada. Subjects were recruited from 2002 to 2007 at which time they completed a comprehensive food frequency questionnaire including intake of sugar added sweet foods and drinks. Subjects were followed with respect to National Death Index (NDI) mortality information through 2015. This is a low sugar consuming cohort where about 50% also adhere to a vegetarian dietary pattern. After applying exclusion criteria, the final analytical sample consisted of 53,482 study subjects. Cox Proportional hazard regression was used in the analyses adjusting for important demographic, lifestyle and medical variables. Four hundred and seventy two fatal strokes occurred during an average of 9.5 years or 509, 119 person-years of follow-up. Compared to the lowest quartile of sugary food intake (0 to 1.6 times/week), the hazard ratio of fatal stroke for the highest quartile (> 7 times/week) of sugary food intake was 0.86 (95% CI: 0.65 to 1.13), after adjusting for covariates. The hazard ratios did not change significantly when stratifying on gender and race. Consumption of added sugar was not associated with fatal stroke in this low sugar consuming population. Further research is needed in populations with higher intakes of sugar-sweetened foods and with diverse backgrounds and dietary patterns. Key words: Diet, sugar, stroke, cardiovascular diseases.
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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 | 0.001 | 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 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".