Impact of Lifestyle Modification on Quality of Life in Patients with Metabolic Syndrome: Findings from the CHANGE Program Intervention Study in Prince Edward Island, Canada
Bibliographic record
Abstract
Purpose: To assess the modification in quality of life (QoL) of patients with metabolic syndrome (MetS) after participating in Canadian Health Advanced by Nutrition and Graded Exercise (CHANGE) program and identify predictors of this modification in QoL among participants. Methods: A convenience sample of 100 patients with MetS completed the 12-month CHANGE program (diet and exercise regular counseling). 36-Item Short Form Health Survey (SF-36), International Physical Activity Questionnaire (IPAC), Physician Assessment and Clinical Education (PACE), and the Mediterranean Diet Score (MDS) questionnaires were employed to assess participants' QoL, physical activity (PA), sedentary behaviors, and quality of diet, respectively. In addition, physical fitness tests (6-Minute Walk Test, One-Leg Stance Test, and Grip Strength Test) were used. Medical history, blood tests, and anthropometric [height, weight, and waist circumference (WC)] and blood pressure measurements were performed by a nurse. Linear regression analysis was performed to identify predictors of QoL. Results: Participants' mean age was 58.3 ± 11.0, and 75.4% were females. After the CHANGE program, participants demonstrated significant reduction in the number of MetS criteria and significant improvement of physical and mental components of QoL. Moreover, there was significant increase in participants' PA, MDS, and physical fitness mean scores with corresponding significant reduction in sedentary behavior time, blood pressure, and WC measures. Linear regression analysis revealed that age, WC, screen time, PA, and physical fitness were significant predictors of QoL. Conclusion: The 12-month group-based diet and exercise counseling led to clinically significant improvement in MetS criteria and in important measures of health and fitness among participants, which improved their QoL. Age, fitness measures, and daily screen time were associated with QoL.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 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) | 0.001 | 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".