8570 Association Between Preconception Lifestyle and Anthropometric Modifications and Fertility outcomes in Women with Infertility and Obesity
Notice bibliographique
Résumé
Abstract Disclosure: A. Thibodeau: None. C. Richer dit Laflèche: None. G. Ngueta: None. M. Belan: None. F. Jean-Denis: None. M. Langlois: None. M. Pesant: None. B. Carranza Mamane: None. J. Baillargeon: Grant Recipient; Self; Ferring Pharmaceuticals. Introduction: Infertility is a common problem that is affected by many lifestyle behaviors, and preconception lifestyle modifications are recommended in women with infertility and obesity. This study thus aims to explore whether preconception lifestyle or anthropometric changes are associated with a viable pregnancy or a live birth in this population. Methods: This prospective cohort study, nested within a randomized controlled trial that recruited 127 women with infertility and obesity at an academic fertility clinic, reports on 70 women who had at least one research visit during their follow-up until the onset of pregnancy or a maximum of 18 months. Lifestyles were assessed using a questionnaire. Logistic regression was used to examine the association between changes in lifestyle or anthropometry and the occurrence of a viable pregnancy or live birth. Changes were defined by the incremental area under the curve (divided by follow-up time; iAUC) and the difference between baseline and the minimum or maximum measure achieved during follow-up. Regressions were corrected for baseline measures of the age of both partners, waist circumference, multiparity, socioeconomic status and multivitamin use. Results: The odds of a pregnancy and live birth were higher among women who had a greater minimum change (improvement) in their weekly consumption of fruits (p=.028/.014) or dairy products (p=.005/.003), in their reduction of tobacco use (p=.038/NS), in their sleep duration (p=.044/NS), or in their loss of weight, waist circumference or fat mass (p=.007/.007; .006/.006; .045/.019). Unexpectedly, a higher maximum change in energy expenditure was associated with lower odds of pregnancy (p=.013). Multivariate analyses showed that a higher minimum change in fruit consumption (p=.008), in tobacco use reduction (p=.033), and waist circumference loss (p=.002), and a lower maximum change in energy expenditure (p=.008) were all independently associated with the occurrence of pregnancy, after adjustment for the abovementioned potential confounders. For live birth, a higher minimum change in dairy products consumption (p=.012), in tobacco use reduction (p=.017), and in weight loss (p=.003) were all independently associated with a live birth. Conclusion: Our exploratory analyses are among the first to show that preconception lifestyle improvements are associated with the occurrence of a viable pregnancy and live birth in women with infertility and obesity, particularly higher minimal and sustained changes in fruit and dairy product intake and tobacco reduction. Higher minimal and sustained weight or waist circumference losses also contributed to improve their fertility, as expected. However, the negative association between higher energy expenditure and pregnancy was unexpected and requires further evaluation. Presentation: 6/1/2024
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 | 0,001 | 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 ».