FRI083 Identifying Determinants Of Change In Physical Activity In Women With Obesity And Infertility Following The Obesity-Fertility Program
Notice bibliographique
Résumé
Abstract Disclosure: M. Gélinas: None. M. Belan: None. F. Jean-Denis: None. M. Pesant: None. M. Langlois: None. B. Carranza-Mamane: None. J. Baillargeon: Grant Recipient; Self; Ferring Pharmaceuticals. INTRODUCTION: Obesity is common among women of childbearing age and a risk factor for infertility. The Obesity-Fertility (OF) lifestyle program is an intervention that supports healthy lifestyle habits in women with infertility during the preconception period. Such support, that includes practice of physical activity (PA), is recommended for the management of obesity, and could improve fertility in individuals with obesity. However, there is a large variability in individual response in low-intensity lifestyle interventions. It is therefore important to determine whether there is a typical profile of women with obesity and infertility who benefit more from such program. OBJECTIVE: To determine the baseline characteristics associated with a change in sedentary time in hours per week (ST), the intensity level in leisure PA in METs, and the distance in meters walked during the 6-minute walk test (6MWT) after 6 months of participation in the OF lifestyle program. The 6MWT is associated to the functional capacity in populations with obesity. METHODS: Data from 85 participants enrolled in a randomized controlled trial and who had a research visit after 6 ± 1 months of follow-up were analyzed using univariate and multiple linear regressions (intervention, IG = 42; control, CG = 43). Participants in the CG received standard fertility care, while those in the IG received the OF program alone, which combines individual meetings with a kinesiologist and a nutritionist, and group sessions. Participants were assessed at baseline and after 6 months for outcomes, other lifestyle, anthropometry, weight loss readiness tool, quality of life, and the socio-economical status. RESULTS: After 6 months, women of the IG significantly improved their PA (+0.87 METs, p <0.001), ST (-6.74 hours/week, p <0001), and 6MWT (+23.8 m, p <0.001). The only independent baseline determinants of these changes were a lower baseline level of PA for an increase in PA (p=0.032); a higher baseline ST for a decrease in ST (p=0.002); and a lower baseline distance at the 6MWT for an increase in 6MWT distance (p<0.001). Regarding the CG, the 6-month changes in these outcomes were not significant (PA: +0.21, p=0.34; ST: -0.13, p=0.95; 6MWT: +7.3, p=0.26). The determinants of such changes were the same than in the IG, except for the baseline BMI ≥40 kg/m², which was an additional independent determinant of increase in ST, and baseline 6MWT was not associated with change in 6MWT. CONCLUSION: Less active women with lower functional capacity at baseline appear to benefit more from the OF lifestyle program. Based on the literature, psychosocial factors (motivation, self-efficacy, social support, etc.) were expected to be associated with changes in PA outcomes, but it is likely that our sample did not provide enough power to identify these relationships, or the tools we used were not enough sensitive for assess these characteristics. Presentation: Friday, June 16, 2023
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 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 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,000 | 0,001 |
| 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 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 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 ».