Exposure to Perfluoroalkyl Substances and Hyperlipidemia Among Adults
Bibliographic record
Abstract
BACKGROUND: The present study aims to explore the relationship between perfluoroalkyl substances (PFAS) exposure and hyperlipidemia using data from the National Health and Nutrition Examination Survey. METHODS: A total of 1600 subjects were included in the analysis, and nine kinds of PFAS were measured. Multivariate logistic regression analysis was performed to explore the association between serum PFAS and hyperlipidemia. RESULTS: Compared with the lowest quartile of perfluoromethylheptane sulfonic acid isomers (Sm-PFOS), the percentage change for hyperlipidemia was 57% and 41% in the third and highest quartile of PFOS. The positive association between Sm-PFOS and hyperlipidemia remained significant in population younger than 60 years, and the odds ratio for hyperlipidemia in fourth quartile of Sm-PFOS was 1.81. CONCLUSIONS: These findings indicated that serum Sm-PFOS was independently associated with a higher risk for hyperlipidemia. The epidemiological study warrants further study to elucidate the causal relationship between them.
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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 | 0.000 | 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) | 0.002 | 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".