Joint modeling of hypertension measurements and time-to-onset of preeclampsia among pregnant women attending antenatal care service at Arerti Primary Hospital, North Shoa, Ethiopia

References

• American College of Obstetricians and Gynecologists. (2013). Hypertension in pregnancy. Report of the American College of Obstetricians and Gynecologists’ task force on hypertension in pregnancy. Obstetrics and Gynecology, 122(5), 1122–14. https://doi.org/10.1097/01.AOG.0000437382.03963.88
   PubMed Web of Science ®Google Scholar
• Baschat, A. A., Dewberry, D., Seravalli, V., Miller, J. L., Block‐Abraham, D., & Blitzer, M. G. (2018). Maternal blood‐pressure trends throughout pregnancy and development of pre‐eclampsia in women receiving first‐trimester aspirin prophylaxis. Ultrasound in Obstetrics & Gynecology, 52(6), 728–733. https://doi.org/10.1002/uog.18992
   Web of Science ®Google Scholar
• Belay, A. S., & Wudad, T. (2019). Prevalence and associated factors of pre-eclampsia among pregnant women attending anti-natal care at Mettu Karl referal hospital, Ethiopia: Cross-sectional study. Clinical Hypertension, 25(1), 1–8. https://doi.org/10.1186/s40885-019-0120-1
   Google Scholar
• Bergen, N., Zhu, G., Yedenekal, S. A., Mamo, A., AbebeGebretsadik, L., Morankar, S., & Labonté, R. (2020). Promoting equity in maternal, newborn and child health–how does gender factor in? Perceptions of public servants in the Ethiopian health sector. Global Health Action, 13(1), 1704530. https://doi.org/10.1080/16549716.2019.1704530
   PubMed Web of Science ®Google Scholar
• Bodnar, L. M., Catov, J. M., Simhan, H. N., Holick, M. F., Powers, R. W., & Roberts, J. M. (2007). Maternal vitamin D deficiency increases the risk of preeclampsia. The Journal of Clinical Endocrinology & Metabolism, 92(9), 3517–3522. https://doi.org/10.1210/jc.2007-0718
   PubMed Web of Science ®Google Scholar
• Bookari, K., Yeatman, H., & Williamson, M. (2017). Informing nutrition care in the antenatal period: Pregnant women’s experiences and need for support. BioMed Research International, 2017, 1–16. https://doi.org/10.1155/2017/4856527
   Web of Science ®Google Scholar
• Chen, L. M., Ibrahim, J. G., & Chu, H. (2011). Sample size and power determination in joint modeling of longitudinal and survival data. Statistics in Medicine, 30(18), 2295–2309. https://doi.org/10.1002/sim.4263
   PubMed Web of Science ®Google Scholar
• Choudhury, M., & Friedman, J. E. (2012). Epigenetics and microRNAs in preeclampsia. Clinical and Experimental Hypertension, 34(5), 334–341. https://doi.org/10.3109/10641963.2011.649931
   PubMed Web of Science ®Google Scholar
• Cochran, W. G. (1972). Relative accuracy of systematic and stratified random samples for a certain class of populations. The Annals of Mathematical Statistics, 164–177.
   Google Scholar
• Faucett, C. L., & Thomas, D. C. (1996). Simultaneously modelling censored survival data and repeatedly measured covariates: A Gibbs sampling approach. Statistics in Medicine, 15(15), 1663–1685. https://doi.org/10.1002/(SICI)1097-0258(19960815)15:15<1663::AID-SIM294>3.0.CO;2-1
   PubMed Web of Science ®Google Scholar
• Garomssa, H., & Dwivedi, A. D. (2008). Maternal mortality in Ambo Hospital: A five year retrospective review. Ethiopian Journal of Reproductive Health, 2(1).
   Google Scholar
• Gaym, A., Bailey, P., Pearson, L., Admasu, K., & Gebrehiwot, Y., & Ethiopian National EmONC Assessment Team. (2011). Disease burden due to pre‐eclampsia/eclampsia and the Ethiopian health system’s response. International Journal of Gynecology & Obstetrics, 115(1), 112–116. https://doi.org/10.1016/j.ijgo.2011.07.012
   Web of Science ®Google Scholar
• Ghulmiyyah, L., & Sibai, B. (2012, February). Maternal mortality from preeclampsia/eclampsia. In Seminars in perinatology (Vols. 36, No. 1, pp. 56–59). WB Saunders.
   Google Scholar
• Laird, N. M., & Ware, J. H. (1982). Random-effects models for longitudinal data. Biometrics, 38(4), 963–974. https://doi.org/10.2307/2529876
   PubMed Web of Science ®Google Scholar
• Mo, M., Shen, Y., Si, S., Xin, X., Shao, B., Wang, S., Muyiduli, X., Chen, Z., & Yu, Y. (2019). Feature of trajectory of blood pressure among pregnant women with gestational hypertension. Journal of Hypertension, 38(1), 127–132. https://doi.org/10.1097/HJH.0000000000002197
   Web of Science ®Google Scholar
• Mohammednur, A., & Abdo, N. (2019, January– February). Modeling pregnancy induced hypertension among pregnant woman in Jimma University specialized hospital. IOSR Journal of Mathematics, 15(1 Ser. I), 22–28.
   Google Scholar
• Musa, J., Mohammed, C., Ocheke, A., Kahansim, M., Pam, V., & Daru, P. (2018). Incidence and risk factors for pre-eclampsia in Jos Nigeria. African Health Sciences, 18(3), 584–595. https://doi.org/10.4314/ahs.v18i3.16
   Web of Science ®Google Scholar
• Nakimuli, A., Chazara, O., Byamugisha, J., Elliott, A. M., Kaleebu, P., Mirembe, F., & Moffett, A. (2014). Pregnancy, parturition and preeclampsia in women of African ancestry. American Journal of Obstetrics and Gynecology, 210(6), 510–520. https://doi.org/10.1016/j.ajog.2013.10.879
   PubMed Web of Science ®Google Scholar
• Rizopoulos, D. (2012). Joint models for longitudinal and time-to-event data: With applications in R. CRC press.
   Google Scholar
• Rumbold, A., Duley, L., Crowther, C. A., & Haslam, R. R. (2008). Antioxidants for preventing pre‐eclampsia. Cochrane Database of Systematic Reviews, (1). https://doi.org/10.1002/14651858.CD004227.pub3
   Google Scholar
• Skjærven, R., Wilcox, A. J., & Lie, R. T. (2002). The interval between pregnancies and the risk of preeclampsia. New England Journal of Medicine, 346(1), 33–38. https://doi.org/10.1056/NEJMoa011379
   PubMed Web of Science ®Google Scholar
• Tessema, G. A., Tekeste, A., & Ayele, T. A. (2015). Preeclampsia and associated factors among pregnant women attending antenatal care in Dessie referral hospital, Northeast Ethiopia: A hospital-based study. BMC Pregnancy and Childbirth, 15(1), 1–7. https://doi.org/10.1186/s12884-015-0502-7
   Google Scholar
• World Health Organization. (2011). WHO recommendations for prevention and treatment of pre-eclampsia and eclampsia: Evidence base (No. WHO/RHR/11.25).
   Google Scholar
• Wulfsohn, M. S., & Tsiatis, A. A. (1997). A joint model for survival and longitudinal data measured with error. Biometrics, 53(1), 330–339. https://doi.org/10.2307/2533118
   PubMed Web of Science ®Google Scholar
• Yang, D., Zhu, L., Ran, B., Pu, Y., & Hui, P. (2016). Modeling and analysis of the lane-changing execution in longitudinal direction. IEEE Transactions on Intelligent Transportation Systems, 17(10), 2984–2992. https://doi.org/10.1109/TITS.2016.2542109
   Web of Science ®Google Scholar
• Yang, L., Yu, M., & Gao, S. (2016). Joint models for multiple longitudinal processes and time-to-event outcome. Journal of Statistical Computation and Simulation, 86(18), 3682–3700. https://doi.org/10.1080/00949655.2016.1181760
   Web of Science ®Google Scholar