Nurul Azizah
Department of Midwifery, Faculty of Nursing and Midwifery, Institut Ilmu Kesehatan Nahdlatul Ulama Tuban

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THE CORRELATION BETWEEN MATERNAL AGE, LEVEL OF EDUCATION, AND OCCUPATIONAL STATUS WITH PREECLAMPSIA INCIDENCE Nurul Azizah
INTERNATIONAL JOURNAL OF MIDWIFERY RESEARCH Vol. 5 No. 1 (2025): International Journal of Midwifery Research
Publisher : Department of Midwifery, Faculty of Nursing and Midwifery, Institut Ilmu Kesehatan Nahdlatul Ulama Tuban

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47710/4t72qg71

Abstract

Background: Preeclampsia remains a critical contributor to global maternal morbidity and mortality, particularly in low-to-middle-income countries. While clinical risk factors are widely recognized, the influence of non-clinical socio-demographic variables requires further empirical evidence to optimize early prevention. Aims: This study aimed to analyze the correlation between maternal age, education level, and occupational status with the incidence of preeclampsia. Methods: An analytical observational study with a cross-sectional design was conducted. The study sample consisted of pregnant women selected through purposive sampling. Data were obtained from medical records and structured interviews, subsequently analyzed using Chi-square and multiple logistic regression. Results: The analysis revealed a significant correlation between maternal age and preeclampsia (p < 0.05), with advanced maternal age (>35 years) exhibiting a 3.5 times higher risk (OR = 3.52). Education level showed a moderate negative correlation (r = -0.42, p = 0.012), indicating that lower educational attainment is associated with increased incidence due to limited health literacy. Furthermore, occupational status involving high physical strain was significantly associated with preeclampsia (p = 0.008) with an Odds Ratio of 2.15. Conclusion: Maternal age, education, and occupational status are significant predictors of preeclampsia. These findings suggest that clinical practitioners must integrate socio-demographic profiling into primary care risk stratification to refine antenatal screening and improve maternal health outcomes.