Search results for "pre-eklampsia"

showing 3 items of 3 documents

Needs and preferences of women with prior severe preeclampsia regarding app-based cardiovascular health promotion

2022

Abstract Background Women with prior severe preeclampsia are at an increased risk for cardiovascular diseases later in life compared to women who had a normotensive pregnancy. The objective of this study was to assess their needs and preferences regarding app-based cardiovascular health promotion. Methods Patients (n = 35) of the Follow-Up PreEClampsia Outpatient Clinic (FUPEC), Erasmus MC, the Netherlands, participated in an anonymous online survey. The main outcomes under study were women’s needs for health behavior promotion, and their preferences with respect to intervention delivery. Descriptive statistics were used to evaluate needs, and thematic analysis was used to analyze preferenc…

Maleand promotion of well-beingnaisetcardiovascular health promotionmieltymyksettarpeetHealth BehaviorReproductive health and childbirthNursingHealth PromotionCardiovascularterveyden edistäminenPaediatrics and Reproductive MedicinepreeclampsiaPre-EclampsiaSDG 3 - Good Health and Well-beingClinical ResearchPregnancyBehavioral and Social SciencemobiilisovelluksetHumansObstetrics & Reproductive Medicineneeds and preferences assessmentNutritionPreventionObstetrics and GynecologyGeneral MedicinePrevention of disease and conditionsMobile ApplicationsStrokeGood Health and Well Beingintervention designReproductive Medicinepre-eklampsiaterveyskäyttäytyminenHypertensionPublic Health and Health Servicessydän- ja verisuonitauditinterventiohoito3.1 Primary prevention interventions to modify behaviours or promote wellbeingFemaleSugarsBMC Women's Health
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Perceived determinants of physical activity among women with prior severe preeclampsia: a qualitative assessment.

2022

Abstract Background The objective of this study was to (1) qualitatively identify the perceived determinants of physical activity among women who have experienced severe preeclampsia, and (2) examine whether these determinants are consistent with the overarching processes outlined in the integrated behavior change (IBC) model, a novel model that describes physical activity as being a result of motivational, volitional, and automatic processes. Methods Patients (n = 35) of the Follow-Up PreEClampsia (FUPEC) Outpatient Clinic, Erasmus MC, the Netherlands, participated in an anonymous online survey. The main outcomes under study were their perceived determinants of physical activity. Responses…

Malequalitative studyphysical activityNursingliikuntaCardiovascularPaediatrics and Reproductive MedicinepreeclampsiaPre-EclampsiaClinical ResearchPregnancySurveys and QuestionnairesBehavioral and Social ScienceHumansObstetrics & Reproductive MedicinekuntoutujatExercisemotivaatioMotivationContraception/ReproductionObstetrics and GynecologySocial Supportcardiovascular healthGeneral Medicineperceived determinantsReproductive Medicinepre-eklampsiaterveyskäyttäytyminenPublic Health and Health ServicesFemalefyysinen aktiivisuusBMC women's health
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Comparison of machine learning and logistic regression as predictive models for adverse maternal and neonatal outcomes of preeclampsia: A retrospecti…

2022

IntroductionPreeclampsia, one of the leading causes of maternal and fetal morbidity and mortality, demands accurate predictive models for the lack of effective treatment. Predictive models based on machine learning algorithms demonstrate promising potential, while there is a controversial discussion about whether machine learning methods should be recommended preferably, compared to traditional statistical models.MethodsWe employed both logistic regression and six machine learning methods as binary predictive models for a dataset containing 733 women diagnosed with preeclampsia. Participants were grouped by four different pregnancy outcomes. After the imputation of missing values, statistic…

mallintaminenlogistic regressionretrospective studyäitiyshuoltoadverse outcomesraskauspredictive modelsneonatalraskausmyrkytysmaternalregressioanalyysimachine learningkoneoppiminenpre-eklampsiapre-eclampsia (PE)ennustettavuussairaudetCardiology and Cardiovascular MedicineFrontiers in Cardiovascular Medicine
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