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Preeclampsia is a significant threat to maternal health worldwide, leading to both infant and maternal morbidity or mortality. It also increases the risk of premature births and cardiovascular disease in affected mothers. Early risk assessments for preeclampsia in pregnant women are essential. Our study aims to identify a method for early detection of preeclampsia in low-resource areas by using tools such as risk assessment, BMI measurements, MAP, and urine protein tests at Public Primary Health Care facilities.
A cross-sectional study with a correlational analytic design was employed among 115 pregnant women from Public Primary Health Care facilities in South Sulawesi, Indonesia. Data collection included a questionnaire using a demographic questionnaire, maternal history of disease, and direct measurement for BMI, MAP, and urine protein. The statistical analysis used the Fisher exact test to test the difference in proportion among categorical data, and the Pearson r correlation was used to estimate the prediction of BMI with maternal blood pressure and MAP during pregnancy.
Our study found that increased BMI in pregnant women is associated with elevated diastolic, systolic, and mean arterial blood pressure (MAP) (p-value 0.001). Additionally, we discovered significant correlations between age group, chronic hypertension, maternal preeclampsia history, and family history of preeclampsia with preeclampsia (p-value < 0.05).
This study identified several contributory factors that are significantly associated with preeclampsia, including maternal age, a history of preeclampsia, a history of chronic hypertension, body mass index, and MAP.