Readiness for behaviour change after gestational diabetes mellitus: A prospective cohort study
Bibliographic record
Abstract
AIMS: Women with gestational diabetes mellitus (GDM) have a high risk of developing type 2 diabetes (T2D). Readiness for behaviour change to mitigate this risk may be low after pregnancy and may further decrease over time without appropriate interventions. This study aimed to evaluate readiness for behaviour change in the first and second postpartum years in women with recent GDM to determine the best timing for lifestyle interventions to prevent T2D. METHODS: This study included a subset of women with GDM between 2009 and 2013 in Ontario, Canada from a larger prospective cohort study who completed a survey in the first and second postpartum years (N = 329). The primary outcome was stage of readiness for behaviour change for diet and physical activity, compared between the first and second postpartum years. RESULTS: . In the first postpartum year, 86% of women reported a pre-action stage of change, which was 87% by the second postpartum year (p = 0.646). Non-Caucasian ethnicity was associated with lower odds of being in the action stage of readiness for behaviour change overall and for physical activity in both time periods. CONCLUSIONS: Most postpartum women with recent GDM are in a pre-action stage of change after delivery, which does not increase by the second postpartum year. Behavioural interventions should continue to be prioritized in postpartum women with GDM to optimize this slim window of opportunity for T2D prevention.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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".