Comparisons of prenatal counselling in women with different pre-pregnancy BMI from a Canadian population
Bibliographic record
Abstract
Introducation: There is a dramatic increase of obesity in women of childbearing age worldwide. Obese women are at higher risk of complications during pregnancy, labour, and delivery. Furthermore, obesity in pregnancy is associated with increase number of clinical consults and investigations throughout pregnancy, which may elevate the prenatal care costs up to 16.2 fold. Current guidelines recommend additional prenatal counselling of obese pregnant women- about nutrition and appropriate weight gain in pregnancy. It has been suggested that obesity is a barrier in obtaining non-obstetrical healthcare services. To date, there is a paucity of information regarding the impact of obesity on obtaining adequate prenatal counselling. Study Objective: The obejective of our study was to evaluate the prenatal counselling overweight and obese women recieve in community healthcare centres in Alberta, Canada. Methods: A sample of 1996 women was identified from the All Our Babies (AOB) pregnancy cohort [4] based on the following criteria: singleton, term deliver (>37 weeks gestation), cephalic presentation, pre-pregnancy BMI >18.5kg/m2. Self-administered questionnaires at <25 weeks and 28-32 weeks gestation collected information about maternal socio-demographic status and women's experiences with eight different domains of prenatal counselling. Multivariable logistic regression analysis explored the association between pre-pregnancy BMI and the domains of prenatal counselling, controlling for confounding variables. Results: Of the 1996 women included in the study, 1313 (65.8%) were normal weight, 472 (23.6%) were overweight, and 211 (10.6%) were obese. Obese women were more likely to have attained lower levels of education (high school or less) (p=0.001) and to have been born in/ lived in Canada for at least 5 years (p=0.01). Logistic regression models showed that overweight women were 1.3 times more likely than normal weight women to recieve counselling about working during pregnancy and the use of non-/prescription drugs. However, there was no difference in the prenatal advice recieved on nutrition, weight gain in pregnancy and active lifestyle between obese, overweight, and normal weight women. Discussion and Conclusions: The demographic characteristics of the study sample align with the pregnant and parenting population of an urban centre in Canada. Pre-pregnancy BMI did not appear to influence the level of prenatal counselling women recieve regarding nutrition, vitamin and mineral supplements, exercise, weight gain and alcohol use during pregnancy in community health care centers in Alberta, Canada.
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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 | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".