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dc.contributor.advisorRaja, Sarma Nursani L
dc.contributor.advisorSiregar, Henry Salim
dc.contributor.authorLestari, Tika Citra Ayu
dc.date.accessioned2025-01-21T02:19:29Z
dc.date.available2025-01-21T02:19:29Z
dc.date.issued2024
dc.identifier.urihttps://repositori.usu.ac.id/handle/123456789/100367
dc.description.abstractBackground: The Maternal Mortality Rate (MMR) is a major issue in health development with total 305 per 100,000 live births in 2015. Preeclampsia (PE) affects about 3.4% of all pregnant women and is one of the leading causes of maternal and fetal morbidity. Methods: This study is an observational analytical study with a cross-sectional design to assess the relationship between high-risk factors for preeclampsia present at <20 weeks of gestation and the incidence of preeclampsia based on blood pressure and proteinuria examinations at >20 weeks of gestation. This research was conducted at the Medan City Health Center. The research population consists of pregnant women receiving antenatal care services at the Medan City Health Center. Data were analyzed descriptively to see the frequency distribution. For bivariate analysis, the chi-square test is used. For multivariate analysis, logistic regression is used. The analysis results are considered significant if p<0.05. Results: The majority of the research subjects are aged 31 – 35 years with a parity status of multigravida, an education level of high school, an employment status of unemployed, and a BMI classified as normoweight. Parity and education status were significantly related to preeclampsia (p<0.005). Bivariate analysis can be concluded that multipara status with preeclampsia, multiple pregnancies, gestational diabetes, chronic hypertension, and kidney disease are statistically significantly related to the occurrence of preeclampsia (p<0.05). There are five independent variables that significantly affect preeclampsia in this study, namely parity, multipara with preeclampsia, multiple pregnancies, diabetes in pregnancy, and chronic hypertension. Based on the regression equation, the probability is 27%. Conclusions: There are five independent variables that significantly affect preeclampsia in this study, namely parity, multipara with preeclampsia, multiple pregnancies, diabetes in pregnancy, and chronic hypertension.en_US
dc.language.isoiden_US
dc.publisherUniversitas Sumatera Utaraen_US
dc.subjectPreeclampsiaen_US
dc.subjecthypertensionen_US
dc.subjectproteinuriaen_US
dc.subjectrisk factorsen_US
dc.titleHubungan Faktor Risiko Tinggi Preeklampsia dengan Kejadian Preeklampsia pada Ibu Hamil di Puskesmas Kota Medanen_US
dc.title.alternativeThe Relationship Between High Risk Factors for Preeclampsia and The Incidence of Preeclampsia in Pregnant Women at The Medan City Community Health Centeren_US
dc.typeThesisen_US
dc.identifier.nimNIM207041108
dc.identifier.nidnNIDN0030075905
dc.identifier.nidnNIDN0019086610
dc.identifier.kodeprodiKODEPRODI11103#Ilmu Kedokteran Klinis
dc.description.pages136 Pagesen_US
dc.description.typeTesis Magisteren_US
dc.subject.sdgsSDGs 3. Good Health And Well Beingen_US


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