Determinants of Readiness for Adopting Healthy Lifestyle Behaviors Among Indigenous Adolescents with Type 2 Diabetes in Manitoba, Canada: A Cross‐Sectional Study
Bibliographic record
Abstract
OBJECTIVE: The aim of this study was to determine whether the readiness for adopting healthy lifestyle behaviors was associated with mental health and comorbid conditions in youth with T2D. METHODS: A cross-sectional comparison of various measures of mental health (distress, stress, resilience) and comorbid conditions (glycated hemoglobin, adiposity, hypertension) was conducted within a cohort of indigenous youth with T2D living in Canada, stratified according to their readiness to adopt healthy lifestyle behaviors based on Prochaska's transtheoretical model. RESULTS: Within the entire cohort (n = 162), only 14% were considered ready to adopt all healthy lifestyle behaviors. The readiness to adopt all lifestyle behaviors was associated with higher positive mental health (47 vs. 39 units; P < 0.05) and sense of mastery (40 vs. 37 units; P < 0.05), lower perceived stress (27 vs. 29 units; P < 0.05) and distress (8 vs. 10 units; P < 0.05), and better glycemic control (HbA1c: 8.4 ± 2.6% vs. 9.7 ± 2.8%; P < 0.05) compared with youth who were not ready to adopt all lifestyle behaviors. CONCLUSIONS: The readiness for adopting healthy lifestyle behaviors is low among adolescents with T2D. Being ready to adopt healthy lifestyle behaviors is associated with better mental health and glycemic control.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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".