Effect of Regular Aerobic Exercise on Plasma Homocysteine Concentrations
Bibliographic record
Abstract
1340 High levels of plasma homocysteine are independently associated with an increased risk of coronary artery disease. Little information is available on the role of regular aerobic exercise on plasma homocysteine, and whether there are sex- or race-related differences in exercise training-induced changes in homocysteine. PURPOSE: To investigate the effects of relatively long-term regular exercise on plasma homocysteine concentrations in 730 black and white men and women, aged 17 to 65 years. METHODS: Concentrations of plasma total homocysteine were measured by the HPLC method. RESULTS: For the whole cohort, homocysteine levels remained unchanged between baseline (mean ± SD 8.8 ± 4.4 μmol/L) and post exercise training (8.9 ± 3.6 μmol/L). In Blacks, homocysteine levels did not change with training (men −0.5 ± 3.7μmol/L, women 0.0 ± 2.2μmol/L) but increased significantly (p<0.0001) in Whites (men +0.3 ± 1.7μmol/L, women +0.3 ± 1.6μmol/L). In men, there was a racial difference in changes in homocysteine. No sex-related differences were found in either racial group. Change in homocysteine levels were negatively correlated with baseline homocysteine (r = −0.60, p<0.0001). Homocysteine levels of the ‘High (hyperhomocysteinaemia)’ (≥15μmol/L) group decreased (p = 0.008) with regular ecxercise from 23.3 ± 11.9 μmol/L to 19.8 ± 7.6 μmol/L, while the homocysteine levels of the ‘Normal’ (<15μmol/L) group increased (p<0.0001) from 8.2 ± 2.2 μmol/L to 8.5 ± 2.4 μmol/L. CONCLUSIONS: In men, there were racial differences for the homocysteine changes in response to exercise training. Regular exercise had favorable effects on individuals with hyperhomocysteinaemia whereas homocysteine levels increased slightly in individuals within the normal range at baseline. Supported by the NHLBI through Grants HL45670, HL47323, HL47317, HL47327, and HL47321.
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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 | 0.000 |
| 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".