Longitudinal effects of diet quality on healthy aging - Focus on cardiometabolic health: findings from the Canadian Longitudinal Study on Aging (CLSA)
Bibliographic record
Abstract
BACKGROUND: Hypertension, a major concern for older adults, contributes to morbidity and mortality by increasing the risk of cardiovascular disease, stroke, kidney dysfunction, and cognitive decline. A healthy diet plays a vital role in limiting chronic disease progression in aging populations. AIM: This study investigated the association between diet quality and healthy aging, focusing on blood pressure measurements (BPMs), using the Canadian Longitudinal Study on Aging (CLSA). METHODS: Participants aged 45-85 years at baseline were followed for up to nine years. Mediterranean diet score (MDS) was determined based on the validated short diet questionnaire (SDQ). BP and mean arterial pressure (MAP) were measured at baseline (2010), follow-up 1 (2015), and follow-up 2 (2018). Linear regression models (LRMs), linear mixed-effects models (LMMs), and latent change score models (LCSMs) examined the associations and longitudinal effect between MDS and BPMs, adjusted for potential confounders. Individuals who participated in all three waves (n = 25,377) were included. RESULTS: Fully adjusted LRMs showed significant (p < 0.001) inverse associations between MDS and all BPMs across all time points, e.g., 1 unit increase in the MDS (min0-max50) was associated with a 0.058 mmHg decrease of diastolic BP (DBP) (β=-0.058), 0.052 mmHg systolic BP (SBP) (β=-0.052), and 0.056 mmHg MAP (β=-0.056). LCSMs indicated that a 1-unit higher baseline MDS was significantly associated with 0.090 mmHg reductions in DBP at follow-up 2 (β=-0.090,p < 0.001), 0.078 mmHg for SBP (β=-0.078,p = 0.002) and 0.076 mmHg for MAP (β=-0.076,p = 0.003). Changes in MDS during follow-ups showed no consistent significant associations with BPMs at follow-up 1 or 2. DISCUSSION AND CONCLUSION: Higher MDS was associated with lower BPMs over time. This study highlights the role of diet quality in healthy aging and mitigating cardiometabolic risk in older adults.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".