Physical Activity is associated with lower cardiovascular disease risk in premenopausal women with a history of hypertensive disorders in pregnancy
Notice bibliographique
Résumé
Abstract Background Hypertensive disorders of pregnancy (HDP), such as gestational hypertension and pre-eclampsia, affect 5-10% of pregnancies worldwide. A substantial and growing body of evidence reveals that HDP is associated with an increased risk of atherosclerotic cardiovascular disease (CVD), including coronary heart disease, peripheral vascular disease, and ischemic stroke. This CVD risk is thought to be modifiable through health-promoting behaviours, such as engaging in regular physical activity, based on data in other hypertensive cohorts. However, evidence of preventative strategies for reducing CVD risk after HDP is lacking. Purpose To explore the association between moderate-to-vigorous physical activity and CVD risk in pre-menopausal women with a history of HDP in at least one pregnancy. Methods Premenopausal women (19-49y) with prior pregnancies were surveyed on past and current physical activity, medical history, and pregnancy outcomes. Cardiovascular chronic conditions (CCS, heart disease, diabetes, stroke, peripheral vascular disease, high blood pressure, and high cholesterol) were assessed individually and coded as a binary variable (yes/no). Results 504 women were included in this analysis (36±7y); n=227 with HDP. Groups did not differ by BMI (p=0.79), physical activity status (p=0.22), or age at first pregnancy (p=0.49). A higher prevalence of CCS was reported in HDP compared to healthy pregnancies (37% vs. 16%, p<0.001). Women with HDP who reported meeting moderate-to-vigorous physical activity guidelines had a lower prevalence of CCS compared to those not meeting guidelines (40% vs. 60%, p=0.04) and lower high medical risk (13.7% vs. 31.1%, p=0.009) while in healthy pregnancies, physical activity was not associated with CCS prevalence (p=0.54), nor medical risk (p=0.63). Conclusions In this sample of pre-menopausal women, those with a history of HDP had a higher prevalence of CCS. Importantly, women with HDP who met physical activity guidelines had a significantly lower prevalence of CCS than those who did not meet guidelines. The association between physical activity and lower cardiovascular chronic conditions warrants further investigation into the potential benefits of physical activity for reducing the risk of CVD in women with HDP.
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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) | 0,002 | 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) | 0,000 | 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 ».