The Association Of Antenatal Mental Health And Obstetric Interviews
Notice bibliographique
Résumé
Introduction The literature is inconsistent regarding the association of antenatal mental health and obstetric interventions [1]. Results of two systematic reviews on this topic indicated that this inconsistency may be due to the use of different scales and small sample sizes and that studies with large sample sizes may contribute to understand these associations [1, 2]. The aim of this study was to investigate the following question what are the association between antenatal anxiety and depression and obstetric interventions including mode of delivery, pain management, induction, and instrumental delivery among a community sample of pregnant women in Alberta? Methods This study is a secondary analysis of data from the All Our Babies (AOB) study, a community-based longitudinal study in Calgary, Alberta [3]. The participants in this study were women with singleton pregnancies who had medical chart data (N=2,665). Mental health data was derived from questionnaires filled out in the 2 nd trimester and 3 rd trimester of pregnancy. Anxiety was measured by Spielberger State Anxiety Inventory (SAI) and depression by Edinburgh Postnatal Depression Scale (EPDS). Obstetric data including pain management, induction and instrumental deliveries were derived from the medical chart. Mode of delivery data was derived from self-report questionnaires. Bivariate associations between obstetric interventions and demographic, obstetric, and mental health variables were examined. Using separate logistic regression models, associations between obstetric interventions and mental health were assessed while controlling for demographic and obstetric variables. Results The majority of participants were married or common-law (95.5%) and Caucasian (79.6%), and had household incomes of $80,000 or more (71.6%). At the bivariate level, mode of delivery was associated with anxiety and depression; no association was found between other obstetric interventions and antenatal depression and anxiety. Controlling for marital status, income, ethnicity, hospital delivery setting, gestational age, previous history of caesarean, pre-pregnancy BMI, assisted conception, and antepartum risk score in logistic regression, we found no association between most obstetric intervention and antenatal mental health; However, women with depressive symptoms in the third trimester were twice more likely to have emergency caesareans without labour compared to women without depressive symptoms (p=0.042). Conclusion In general, the data shows that there is no relationship between antenatal mental health and obstetric outcomes. Limitations of this study include the exclusion of women for whom medical chart data were not available and the reliance of self-report questionnaires for determining mental health. However, strengths of this study include access to a large sample size and controlling for several demographic and obstetric variables. Further research into this area is needed to verify these results.
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 | 0,003 | 0,014 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 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 ».