Association of Physical Activity With Telomere Length Among Elderly Adults - The Oulu Cohort 1945
Bibliographic record
Abstract
Introduction Physical activity (PA) has been shown to alleviate age-associated telomere shortening by reducing oxidative stress and inflammation. The effect of PA intensity and volume on telomere length is nonetheless unclear suggesting both protective and damaging effects. The aim of our study was to investigate the effects of exercise intensity and volume on telomere length in elderly adults from Northern Finland (65◦ latitude North). Methods 700 elderly subjects born in 1945 in the Oulu region were investigated. PA was measured during a 2-week period with a wrist-worn accelerometer. In addition, a questionnaire was used to assess sedentary time and to achieve longitudinal PA history and PA intensity. Relative telomere lengths (RTL) were determined from frozen whole blood using a qPCR-based method. Results RTLs were longer in women than men (0.031) and negatively correlated with age in both genders (men -0.210, p=0.000, women -0.174, p=0.000). During the 2-week study period, women took more steps than men (p=0.001), but the association between steps and RTL was only seen in men (p=0.05). Total steps taken (0.202, p=0.04) and sedentary time (-0.247, p=0.007) significantly correlated with RTLs in 70-year old subjects. Moderate PA changed RTL between the highest quartile and the three lower quartiles (0.023 between 4th and 1st, 0.04 between 4th and 2nd and 0.027 between 4th and 3rd) in the 70-year old subjects. Conclusions Women had longer RTL and performed higher exercise volume, via step count, compared to men. However, exercise volume and RTL correlated positively only in men. Surprisingly, age correlated negatively with RTL just within a maximum age of difference of 2 years. This suggests that telomere attrition rate accelerates in older age. Moderate physical activity at the time of the study was protective towards RTL.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".