Cardiovascular health risk indicators and their associations with meeting the Canadian 24-hour movement guidelines for older females: a cross-sectional secondary data analysis of WARM Hearts cohort study
Bibliographic record
Abstract
Background: Cardiovascular diseases (CVDs) have been a leading cause of morbidity and mortality among older women worldwide. Lifestyle factors, including physical activity, sedentary behaviour, and sleep patterns, have been identified as modifiable risk factors for CVD. The Canadian 24-hour movement guidelines (24HMG) provide comprehensive recommendations covering these behaviours, yet the association between guideline adherence and cardiovascular health in older females is not well understood. Objective: This study investigates the association between meeting the Canadian 24HMG and cardiovascular health risk indicators among older females. By exploring this relationship, the study seeks to identify potential public health strategies to mitigate CVD risk in this population. Methods: Utilizing a cross-sectional secondary data analysis approach, this study analyzed the WARM Hearts cohort, comprising older females aged 55 and above. Key variables included adherence to specific and different combinations of the Canadian 24HMG (physical activity, sedentary behaviour, and sleep) and cardiovascular health risk indicators (Framingham Risk Score, Body Mass Index, waist circumference, etc.). Statistical analyses assessed the associations between movement guideline adherence and cardiovascular health risks. Results: The study found significant associations between adherence to the Canadian 24-hour movement guidelines and cardiovascular health indicators in older females. Only 2.1% of the sample met all three guidelines, while 44.8% of the sample met one component and 13.5% of the sample met two. Meeting at least one recommendation was linked to better cardiovascular health outcomes, including lower Framingham Risk Score (FRS), reduced waist circumference, lower Body Mass Index, and improved cholesterol levels. The group meeting all three guidelines showed better waist circumference and BMI than those meeting fewer guidelines. The findings suggest increased adherence to the guidelines is associated with better cardiovascular health outcomes. Meeting physical activity was significantly associated with better cardiovascular health indicators when only one of the three components of the 24HMG was met. Additionally, meeting physical activity and sleep were significantly associated with better cardiovascular health outcomes when any two of the three components of the 24HMG were met. Proposed Impact: The findings will inform public health interventions and policy-making by identifying the importance of promoting a holistic approach to daily movement behaviours in reducing cardiovascular health risks. By providing data to support the merits of evidence-based recommendations to promote the health of older female adults, this study contributes to the broader goal of enhancing cardiovascular health and well-being in aging populations.
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 | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".