Do French-Canadian Women Planning a Pregnancy Have a Healthy Diet?
Notice bibliographique
Résumé
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).
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».