The time is now: regular exercise maintains vascular health in ageing women
Bibliographic record
Abstract
Although ageing impairs cardiovascular health in both men and women, the timeline is different between the sexes. This is at least partially attributed to the loss of oestrogen in women at midlife, in connection with menopause. Oestrogen has protective effects on the cardiovascular system, and menopause consequently leads to a rapid and significant decline in cardiovascular health. Notably, oestrogen interacts with its nuclear and membrane receptors leading to changes in proteins of importance for cardiovascular health. Skeletal muscle activity, which affects the expression of many of the same proteins as oestrogen, could potentially counteract the loss of oestrogen at menopause. The hypothesis that exercise can counteract the loss of oestrogen has been explored in several recent studies. It has been found that regular physical activity opposes the detrimental effects not only of ageing, but also of the menopausal transition, on cardiovascular health. Although, vascular benefits can be gained at all ages, initiating physical activity at or soon after menopause may be more effective than at a later time point in life. Intuitively, it is easier to prevent decrements than attempting to regain lost vascular health. This idea is supported by evidence at the molecular level, suggesting that exercise-induced activation of the oestrogen-related receptor-α pathway is more effective soon after menopause compared to later. Together, although a decline in cardiovascular health due to chronological ageing cannot be completely prevented, a physically active lifestyle mitigates age-related cardiovascular impairments. Importantly, regular physical activity through life should always be addressed as the biological norm.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".