ODP617 An interdisciplinary intervention improves lifestyle behaviours in women living with obesity and infertility: a randomized controlled trial
Notice bibliographique
Résumé
Abstract Introduction Lifestyle modifications should be the first-line treatment for improving reproductive function and preconception weight in women living with obesity who are seeking fertility treatments. Evidence is however scarce regarding the effectiveness of lifestyle programs in supporting these women. The study's objective was therefore to determine whether the Obesity-Fertility program leads to healthier lifestyle behaviours in women living with obesity and consulting at a fertility clinic. Methods Women with obesity and infertility were randomized to the control (CG=65) or intervention (IG=65) group. Based on the participant's medical record, randomization was stratified according to the polycystic ovarian syndrome status. The CG followed the usual fertility clinic approach while the IG participated in individual and group sessions with a registered dietician, a kinesiologist, and a psychologist. Before the intervention (baseline) and 6 months after (V6), frequency of food and beverages intakes, physical activity levels, sedentary time, daily sleep duration, alcohol consumption and smoking use were collected via a lifestyle behaviour questionnaire adapted from the 2009 Canadian Community Health Survey (Statistics Canada). Functional capacity was evaluated with a 6-minute walk test. Descriptive statistics, two-sample tests of means or proportions, generalized linear models and logistic regressions were performed. Results At baseline, women who had a research visit at 6±1 months (n=85) were 30±5 years old and had a BMI of 39.8±7.7 kg/m2. Most of them held no university degree (81.2%) and were primiparous (56.5%). Both groups (CG=43 and IG=42) had similar sociodemographic and anthropometric characteristics as well as lifestyle behaviours at baseline except for smokers’ proportion that was higher in CG (CG: 34.9% vs IG: 9.5%, p<0. 01). From baseline to 6 months, whole fruit and vegetable frequency intakes increased more in the IG vs CG (fruits: +1.1 vs +0.4/day, p<0. 01; vegetables: +0.7 vs +0.4/day, p<0. 01). Significant differences (IG vs CG) were also observed for frequency intakes of whole grain products (+1. 0 vs +0. 04/day, p<0. 01) and dairy products (+0.5 vs -0.2/day, p<0. 01) as well as in the percentage of active women (>3 kcal/kg/day: +14.2% vs +2.3%, p=0. 03) and the time spent in sedentary behaviours (-6.7 vs -0.1 h/week, p<0. 01). Distance covered during the 6-minute walk test tended to increase more in IG vs CG (+28.8 vs +5.5 metres, p=0. 05). Sleep duration decreased by 19 and 12 minutes per day in the IG and CG, respectively (p=0.25). No significant difference was found between IG and CG for changes in sleep duration, alcohol consumption and smoking use. Conclusion The Obesity-Fertility program significantly improved components of diet, physical activity levels and sedentary behaviours in women living with obesity and seeking fertility treatments. Such programs can therefore support these women to adopt healthier lifestyle behaviours and may improve their fertility as well as decrease risks of complications during pregnancy. Presentation: Monday, June 13, 2022 12:30 p.m. - 2:30 p.m.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,004 | 0,003 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,003 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,012 | 0,001 |
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 source (Gemma direct ou Codex distillé), 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 ».