Hubungan Faktor Risiko Tinggi Preeklampsia dengan Kejadian Preeklampsia pada Ibu Hamil di Puskesmas Kota Medan
The Relationship Between High Risk Factors for Preeclampsia and The Incidence of Preeclampsia in Pregnant Women at The Medan City Community Health Center

Date
2024Author
Lestari, Tika Citra Ayu
Advisor(s)
Raja, Sarma Nursani L
Siregar, Henry Salim
Metadata
Show full item recordAbstract
Background: 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.