Comparison of Perception of Pregnancy Risk of Nulliparous Women of Advanced Maternal Age and Younger Age
Notice bibliographique
Résumé
INTRODUCTION: Over the last 3 decades, the proportion of women who have delayed childbearing into their mid 30s and early 40s has been increasing. Because advanced maternal age (AMA) is associated with several adverse maternal, fetal, and neonatal outcomes, these pregnancies are considered to be "high risk." Research indicates that pregnancy risk perception is an important factor in pregnant women's health care use and decision making during pregnancy. The objectives of this study were to compare risk perception in pregnant women of AMA (aged 35 years or older) with that of younger women and to explore the relationship between perception of pregnancy risk and selected variables. METHODS: A sample of 159 nulliparous pregnant women (105 aged 20-29 years and 54 aged 35 years or older) was recruited from a variety of settings in Winnipeg, Manitoba, Canada. Women were asked to complete questionnaires to assess perception of pregnancy risk, risk knowledge, pregnancy-related anxiety, perceived control, health status, and medical risk. RESULTS: Women of AMA had higher education levels, were more likely to work during pregnancy, and had higher medical risk scores than younger women. Women of AMA perceived higher pregnancy risk for both themselves and their fetuses than did younger women. They rated their risks of cesarean birth, dying during pregnancy, preterm birth, and having a newborn with a birth defect or one needing admission to a neonatal intensive care unit higher than those of younger women. There were no significant differences between the 2 age groups in pregnancy-related anxiety, knowledge of risk, perceived control, and health status. DISCUSSION: Women of AMA have a higher perception of pregnancy risk than younger women, regardless of their medical risk. This evidence suggests that incorporating discussions of pregnancy risk into prenatal care visits may assist pregnant women of AMA to make more informed choices, reduce anxiety, and avoid unnecessary interventions.
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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) | 0,001 | 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 ».