Analysis of Biological Factors Associated with Preeclampsia in Pregnant Women

Authors

Nanik Yuliwati , Siti Juhariyah , Irmala Dewi , Irma Yuliawati , Ika Sartika Dewi

DOI:

10.29303/jppipa.v10i10.8692

Published:

2024-10-25

Issue:

Vol. 10 No. 10 (2024): October : In Progress

Keywords:

Biological factors, BMI, Parity, Preeclampsia, Pregnant women

Research Articles

Downloads

How to Cite

Yuliwati, N., Juhariyah, S., Dewi, I., Yuliawati, I., & Dewi, I. S. (2024). Analysis of Biological Factors Associated with Preeclampsia in Pregnant Women. Jurnal Penelitian Pendidikan IPA, 10(10), 7493–7503. https://doi.org/10.29303/jppipa.v10i10.8692

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

Abstract

Preeclampsia is a serious complication during pregnancy that poses significant health risks to both mother and fetus, potentially leading to death. Early identification of biological factors associated with preeclampsia is crucial for effective prevention. This study aims to analyze the biological factors influencing preeclampsia incidence among pregnant women. A quantitative design with a case-control approach was used, focusing on pregnant women with a history of preeclampsia in the Curug Community Health Center, Karawang Regency. The sample included 10 respondents. The results revealed a significant relationship between parity and preeclampsia incidence (p-value 0.031), BMI (p-value 0.018), diet (p-value 0.041), and history of complications (p-value 0.001). However, no significant association was found between lifestyle activities and preeclampsia (p-value 0.114). These findings suggest that factors like parity, BMI, diet, and complications history are significantly linked to preeclampsia incidence. These results provide a basis for targeted interventions in pregnant women's care. Future studies should expand the sample size and consider additional variables such as employment status, family support, and stress levels for more comprehensive insights into preeclampsia risk factors.

References

Afraie, M., Moradi, G., Zamani, K., Azami, M., & Moradi, Y. (2023). The Effect of Hepatitis B Virus on the Risk of Pregnancy Outcomes: A Systematic Review and Meta-Analysis of Cohort Studies. Virology Journal, 20(1), 1–19. https://doi.org/10.

/s12985-023-02182-0

Bobak, C., Barr, P., & O’Malley, A. (2018). Estimation of an Inter-Rater Intra-Class Correlation Coefficient That Overcomes Common Assumption Violations in the Assessment of Health Measurement Scales. BMC Med Res Methodol, 18(93). https://doi.

org/10.1186/s12874-018-0550-6

Bunyapipat, P., Pruksanusak, N., Suwanrath, C., & Geater, A. (2023). Combined Maternal Risk Factors and the Quadruple Test to Predict Late-Onset Preeclampsia in Pregnant Thai Women. BMC Pregnancy and Childbirth, 23(1), 1–9. https://doi.

org/10.1186/s12884-023-05623-4

Chen, G., Chen, Y., Shi, Y., Mao, Z., Lou, J., & Ma, J. (2024). A Dynamic Prediction Model for Preeclampsia Using the sFlt-1/PLGF Ratio Combined with Multiple Factors. BMC Pregnancy and Childbirth, 24(1), 1–10. https://doi.org/10.

/s12884-024-06627-4

Function, H., Markers, A., Schirwani-hartl, N., Tschanun, L., Palmrich, P., Haberl, C., Perkmann-nagele, N., Kiss, H., Berger, A., & Binder, J. (2024). Neonatal Outcome.

Hebeisen, I., Rodriguez, E. G., Arhab, A., Gross, J., Schenk, S., Gilbert, L., Benhalima, K., Horsch, A., Quansah, D. Y., & Puder, J. J. (2024). Prospective Associations between Breast Feeding, Metabolic Health, Inflammation and Bone Density in Women with Prior Gestational Diabetes Mellitus. BMJ Open Diabetes Research and Care, 12(3), 1–12. https://doi.org/10.1136/bmjdrc-2024-004117

Huang, Y., Sun, Q., Zhou, B., Peng, Y., Li, J., Li, C., Xia, Q., Meng, L., Shan, C., & Long, W. (2024). Lipidomic Signatures in Patients with Early-Onset and Late-Onset Preeclampsia. Metabolomics, 20(4), 1–13. https://doi.org/10.1007/s11306-024-02134-x

Jayani, I., & Listika, M. L. (2020). Implikasi Senam Yophytta Terhadap Perubahan Tekanan Darah pada Ibu Hamil. Jurnal Ilmu Kesehatan, 8(2), 96-102. https://doi.org/10.32831/jik.v8i2.241

Knorr, S., Aalders, J., Overgaard, M., Støvring, H., Mathiesen, E. R., Damm, P., Clausen, T. D., Bjerre-Christensen, U., Andersen, L. L. T., Vinter, C., Kofoed-Enevoldsen, A., Lauenborg, J., Kampmann, U., Fuglsang, J., Ovesen, P. G., Christensen, T. T., Sørensen, A., Ringholm, L., & Jensen, D. M. (2024). Danish Diabetes Birth Registry 2: A Study Protocol of a National Prospective Cohort Study to Monitor Outcomes of Pregnancies of Women with Preexisting Diabetes. BMJ Open, 14(4), 1–11. https://doi.org/10.1136/

bmjopen-2023-082237

Li, T., Xu, M., Wang, Y., Wang, Y., Tang, H., Duan, H., Zhao, G., Zheng, M., & Hu, Y. (2024). Prediction Model of Preeclampsia Using Machine Learning Based Methods: A Population Based Cohort Study in China. Frontiers in Endocrinology, 15(June), 1–14. https://doi.org/10.3389/fendo.2024.1345573

Llurba, E., Crispi, F., Crovetto, F., Youssef, L., Delgado, J. L., Puig, I., Mora, J., Krofta, L., Mackova, K., Martinez-Varea, A., Tubau, A., Ruiz, A., Paya, A., Prat, M., Chantraine, F., Comas, C., Kajdy, A., Lopez-Tinajero, M. F., Figueras, F., … & Modzelewski, J. (2024). Multicentre Randomised Trial of Screening with sFlt1/PlGF and Planned Delivery to Prevent Pre-Eclampsia at Term: Protocol of the PE37 Study. BMJ Open, 14(3), 1–7. https://doi.org/10.1136/bmjopen-2023-076201

Lu, Y. T., Chen, C. P., Sun, F. J., Chen, Y. Y., Wang, L. K., & Chen, C. Y. (2024). Associations between First-Trimester Screening Biomarkers and Maternal Characteristics with Gestational Diabetes Mellitus in Chinese Women. Frontiers in Endocrinology, 15(August), 1–9. https://doi.org/10.3389/fendo.

1383706

Mariati, P., Anggraini, H., Rahmawati, E., & Suprida, S. (2022). Faktor-Faktor yang Berhubungan dengan Kejadian Preeklampsia pada Ibu Hamil Trimester III. Jurnal ‘Aisyiyah Medika, 7(2), 246-258. Retrieved from https://jurnal.stikes-aisyiyah-palembang.ac.id/index.php/JAM/article/download/872/611

Pluta, K., Januszewski, M., Ziuzia-Januszewska, L., Kudan, M., Suchocka, M., Kuśmierczuk, K., Issat, T., & Jakimiuk, A. J. (2024). sFlT-1/PlGF Ratio as a Predictor of Preeclampsia in COVID-19 Pregnant Patients. BMC Pregnancy and Childbirth, 24(1), 1–6. https://doi.org/10.1186/s12884-024-06263-y

Rahman, S., Islam, M. S., Roy, A. K., Hasan, T., Chowdhury, N. H., Ahmed, S., Raqib, R., Baqui, A. H., & Khanam, R. (2024). Maternal Serum Biomarkers of Placental Insufficiency at 24–28 Weeks of Pregnancy in Relation to the Risk of Delivering Small-for-Gestational-Age Infant in Sylhet, Bangladesh: A Prospective Cohort Study. BMC Pregnancy and Childbirth, 24(1), 1–13. https://doi.org/10.1186/s12884-024-06588-8

Rybak-Krzyszkowska, M., Staniczek, J., Kondracka, A., Bogusławska, J., Kwiatkowski, S., Góra, T., Strus, M., & Górczewski, W. (2023). From Biomarkers to the Molecular Mechanism of Preeclampsia—A Comprehensive Literature Review. International Journal of Molecular Sciences, 24(17). https://doi.

org/10.3390/ijms241713252

Svenvik, M., Raffetseder, J., Brudin, L., Berg, G., Hellberg, S., Blomberg, M., Jenmalm, M. C., & Ernerudh, J. (2024). Early Prediction of Spontaneous Preterm Birth Before 34 Gestational Weeks Based on a Combination of Inflammation-Associated Plasma Proteins. Frontiers in Immunology, 15(July), 1–12. https://doi.org/10.

/fimmu.2024.1415016

Tranidou, A., Tsakiridis, I., Apostolopoulou, A., Xenidis, T., Pazaras, N., Mamopoulos, A., Athanasiadis, A., Chourdakis, M., & Dagklis, T. (2024). Prediction of Gestational Diabetes Mellitus in the First Trimester of Pregnancy Based on Maternal Variables and Pregnancy Biomarkers. Nutrients, 16(1). https://doi.org/10.3390/nu16010120

Tschiderer, L., van der Schouw, Y. T., Burgess, S., Bloemenkamp, K. W. M., Seekircher, L., Willeit, P., Onland-Moret, C., & Peters, S. A. E. (2024). Hypertensive Disorders of Pregnancy and Cardiovascular Disease Risk: A Mendelian Randomisation Study. Heart, 110(10), 710–717. https://doi.org/10.1136/heartjnl-2023-323490

Venou, T. M., Vetsiou, E., Varelas, C., Daniilidis, A., Psarras, K., Koravou, E. E., Koutra, M., Touloumenidou, T., Tsolakidis, V., Papalexandri, A., Minti, F., Mandala, E., Dinas, K., Vlachaki, E., & Gavriilaki, E. (2024). Increased Complement Activation and Decreased ADAMTS13 Activity Are Associated with Genetic Susceptibility in Patients with Preeclampsia/HELLP Syndrome Compared to Healthy Pregnancies: An Observational Case-Controlled Study. Journal of Personalized Medicine, 14(4). https://doi.org/10.

/jpm14040387

Wulandari, D., Riski, M., & Indriani, P. L. N. (2022). Hubungan Obesitas, Pola Makan dan Cakupan Kunjungan Antenatal Care dengan Kejadian Preeklampsia pada Ibu Hamil Trimester III. Jurnal Kebidanan Indonesia, 13(1), 51-60. Retrieved from https://www.jurnal.stikesmus.ac.id/index.php/JKebIn/article/download/564/383

Xia, Y., Wang, Y., Yuan, S., Hu, J., Zhang, L., Xie, J., Zhao, Y., Hao, J., Ren, Y., & Wu, S. (2024). Development and Validation of Nomograms to Predict Clinical Outcomes of Preeclampsia. Frontiers in Endocrinology, 15(March), 1–12. https://doi.org/10

.3389/fendo.2024.1292458

Zhou, J., Yang, S., Xu, X., Xu, X., Wang, X., Ye, A., Chen, Y., He, F., & Yu, B. (2023). Screening of Placenta Accreta Spectrum Disorder Using Maternal Serum Biomarkers and Clinical Indicators: A Case–Control Study. BMC Pregnancy and Childbirth, 23(1), 1–12. https://doi.org/10.1186/s12884-023-05784-2

Author Biographies

Nanik Yuliwati, Abdi Nusantara College of Health Sciences

Siti Juhariyah, Abdi Nusantara College of Health Sciences

Irmala Dewi, Abdi Nusantara College of Health Sciences

Irma Yuliawati, Abdi Nusantara College of Health Sciences

Ika Sartika Dewi, Abdi Nusantara College of Health Sciences

License

Copyright (c) 2024 Nanik Yuliwati, Siti Juhariyah, Irmala Dewi, Irma Yuliawati, Ika Sartika Dewi

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors who publish with Jurnal Penelitian Pendidikan IPA, agree to the following terms:

  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution 4.0 International License (CC-BY License). This license allows authors to use all articles, data sets, graphics, and appendices in data mining applications, search engines, web sites, blogs, and other platforms by providing an appropriate reference. The journal allows the author(s) to hold the copyright without restrictions and will retain publishing rights without restrictions.
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in Jurnal Penelitian Pendidikan IPA.
  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).