Physical Activity and Health-Related Quality of Life in Adults With Type 2 Diabetes: Results From a Prospective Cohort Study
Bibliographic record
Abstract
BACKGROUND: The objective was to investigate the longitudinal relationship between physical activity and health-related quality of life (HRQL) in adults with type 2 diabetes. METHODS: Data were from a prospective cohort of adults with type 2 diabetes. Weekly moderate-to-vigorous physical activity (MVPA) was reported using the Godin Leisure-Time Physical Activity Questionnaire, and HRQL was reported using the SF-12 and 5-level EQ-5D. Participants were categorized based on current weekly MVPA recommendations. Multivariable linear regression was used to explore associations between MVPA and HRQL, and multinomial logistic regression was used to assess the direction of change in HRQL after 1 year. RESULTS: Mean age of participants (N = 1948) was 64.5 ± 10.8 years and 45% were female. Participants reported a mean of 84.1 ± 172.4 min of MVPA/week, and 21% (n = 416) met weekly MVPA recommendations. MVPA was associated with differences in the physical functioning (b = 5.42; P < .001), general health (b = 2.45; P = .037), and vitality (b = 2.83; P = .016) SF-12 dimensions. Participants who met recommendations were less likely to report a decline (vs. no change) in EQ-5D index score (OR = 0.75; 95% CI [0.57, 0.99]), and SF-12 physical component summary (OR = 0.67; 95% CI [0.50, 0.90]), compared with participants not meeting recommendations. CONCLUSIONS: Participants who met weekly MVPA recommendations reported better physical functioning and were more likely to maintain their physical and overall HRQL over time.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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".