Detrimental association between quadriceps strength and exposure to polycyclic aromatic hydrocarbons in elderly adults
Bibliographic record
Abstract
Polycyclic aromatic hydrocarbons (PAHs) are environmental pollutants primarily from the incomplete combustion of organic materials. Myriads of studies have reported the associations between PAH exposure with several adverse health outcomes. However, no previous study had explored the relationship between PAH exposure with muscle strength in the elderly population. In the present study, we included 473 elderly adults who were obtained from the US National Health and Nutrition Examination Survey (NHANES) (2001–2006). PAH metabolites were measured in urine samples. Muscle strength was determined as the isokinetic strength of the quadriceps. Pertinent variables were analyzed by various standard measurements. The association between PAH exposure and muscle strength was examined using multivariable linear regression models. After fully adjusting for covariables, PAH metabolites had a negative relationship with muscle strength, especially 3-fluorene (β = –0.021, 95% CI: –0.042, 0.000) and 2-fluorene (β = –0.020, 95% CI: –0.034, –0.005). Notably, the relationship remained significant in males, but not in females. PAH exposure is associated with decreased muscle strength in the US elderly population. Further studies are needed to bring to light the underlying mechanisms for these findings. In addition, it is important to provide interventions and determine strategies for treating the adverse impact of PAH exposure on dynapenia. Novelty PAH exposure is associated with decreased muscle strength in elderly adults. The adverse impact remains in males.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".