Intervening to reduce weight gain in pregnancy and gestational diabetes mellitus in Cree communities: an evaluation.
Bibliographic record
Abstract
BACKGROUND: A high prevalence of gestational diabetes mellitus and type 2 diabetes has been observed among the Cree of James Bay, Quebec. To address this problem, a diet and activity intervention during pregnancy, which was based on social learning theory, was initiated in 4 Cree communities. METHODS: A prospective intervention compared dietary, weight and glycemic indicators for 107 control subjects and for 112 women who received the intervention during the course of their pregnancy. A control period in 4 communities (July 1995-March 1996) was followed by an intervention period (April 1996-January 1997) when subjects were offered regular, individual diet counselling, physical activity sessions and other activities related to nutrition. RESULTS: The intervention and control groups did not differ at baseline regarding their mean age (24.3 years [SD 6.29] v. 23.8 years [SD 5.86]), mean prepregnancy weight (81.0 kg [SD 19.46] v. 78.9 kg [SD 17.54]) and mean gestational age at recruitment (17.1 weeks [SD 7.06] v. 18.5 weeks [SD 6.92]). The intervention did not result in differences in diet measured at 24-30 weeks' gestation, rate of weight gain over the second half of pregnancy (0.53 kg per week [SD 0.32] v. 0.53 kg per week [SD 0.27]) or plasma glucose level (50 g oral glucose screen) between 24 and 30 weeks (7.21 mmol/L [SD 2.09] v. 7.43 mmol/L [SD 2.10]). Mean birth weights were similar (3741 g [SD 523] v. 3686 g [SD 686]), as was maternal weight at 6 weeks post partum (88.1 kg [SD 16.8] v. 86.4 kg [SD 19.0]). The only changes in dietary intake were a reduction in caffeine (pregnancy) and an increase in folate (post partum). INTERPRETATION: This intervention had only a minor impact on diet; finding ways of encouraging appropriate body weight and activity levels remains a challenge.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".