Association of long-term physical inactivity with left ventricular function assessed by MRI derived myocardial 2D strain in a population-based cohort
Bibliographic record
Abstract
Abstract Background The association of physical inactivity with subclinical alteration of cardiac structure and function is not well studied. In the present study, we investigated the association of physical inactivity with left-ventricular function assessed by advanced MRI strain analysis in a population-based cohort, free of known CVD. Methods We used data of an MRI sub-study of the community-based KORA (<SPAN data-teams="true">Cooperative Health Research in a German Region) cohort with 360 participants (156 women; aged 39 to 73 years). Physical activity was assessed at three examination cycles (Exam 1 [baseline], at Exam 2 [7-years follow-up] and at Exam 3 [14-years follow-up]) of the KORA S4 cohort. The MRI-derived myocardial 2D strain examination was conducted at Exam 3 and the parameters longitudinal, radial, and circumferential global strain were measured. Associations between physical (in)activity and strain values were investigated in cross-sectional and longitudinal analyses. Results Current physical inactivity (Exam 3) was associated with reduced longitudinal (β=-1.09%; 95%CI -2.02; -0.15. p=0.023), radial (β=-2.64%; 95%CI -4.79; -0.49. p=0.016), and circumferential strain (β=-0.90%; 95%CI -1.60; -0.20. p=0.012). Similarly, past physical inactivity reported at baseline (Exam 1) was associated with reduced strain parameters. The more often physical inactivity was reported across the three examinations (two or three times) the more reduced were radial (β=-2.09%; 95%CI -3.71; -0.47. p=0.012) and circumferential strain (β=-0.69%; 95%CI -1.22; -0.16. p=0.011). The associations were stronger in men than in women. Conclusion Current and past physical inactivity are associated with early subclinical changes of left ventricular dysfunction in asymptomatic subjects free of cardiovascular disease, especially in men.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".