Do French-Canadian Women Planning a Pregnancy Have a Healthy Diet?
Bibliographic record
Abstract
Since very few studies investigated dietary habits in women planning to conceive, we aimed to assess the diet quality and supplement use in a population of women who are planning a pregnancy in the following year. One hundred sixty-five (165) women trying to become pregnant were enrolled via e-mails in a Web-based study. All women had to complete various Web questionnaires, including three 24 h Web dietary recalls (R24W), from which the Canadian Healthy Eating Index (C-HEI 2007) was calculated. Body mass index (BMI) was calculated using the self-reported weight and height of participants. Information on supplement use and sociodemographic variables were obtained through other Web questionnaires. Women were aged 30.9 ± 4.3 years on average and had a mean BMI of 24.3 ± 4.8 kg/m2. Most women were Caucasian (92.7%), had a university degree (72.1%) and an annual household income of CAD$80,000 or more (60.0%). Almost two thirds of the women reported taking a multivitamin (33.9%) or a folic acid supplement (30.9%), meaning that more than a third of the women (35.2%) did not take either. The mean C-HEI score was 61.8 ± 12.7 out of 100 (range: 17.2–91.4) and only 13 women (7.9%) had a score higher than 80, which represents a diet of good quality. Most women (74.5%) fell into the «diet requiring improvement» category (HEI score between 50 and 80). Diet quality scores were higher in women aged 28 years and older (vs <28 years, P = 0.03), who had more than a high school degree (vs only a high school degree, P = 0.01) and who reported taking a multivitamin or a folic acid supplement (vs taking neither, P = 0.009). C-HEI scores showed that diet quality could be improved among women trying to become pregnant, specifically in younger and less educated women. More than a third of the women did not take a prenatal multivitamin or folic acid supplement even though a folic acid supplement is recommended for women planning to conceive. Considering the importance of diet quality and sufficient folic acid intake during preconception and pregnancy, it could be relevant to assess the knowledge of nutritional recommendations in women planning a pregnancy. This project is funded by start-up funds from the CHU de Québec-UL research centre (FRQ-S and the CHU de Québec Foundation).
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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".