EVALUATION OF LIPID PROFILE OF HYPERTENSIVE PREGNANT WOMEN ATTENDING MGBAKWU PRIMARY HEALTH CARE CENTRE, ANAMBRA STATE
DOI:
https://doi.org/10.33003/fjs-2024-0805-2808Keywords:
Health, Hypertension, Lipid, Participants, Pregnancy, WomenAbstract
Hypertension is a serious global public health problem. Serum lipid alteration is a pivotal factor that births hypertension during pregnancy and has been implicated in diverse deleterious health outcomes. Thus, the aim of this study was to evaluate the lipid profiles of hypertensive pregnant women attending Mgbaukwu Primary Health Care (PHC) Centre. A total of 70 pregnant women who had consented were recruited to participate. While thirty five (35) pregnant women were hypertensive, the other remaining 35 pregnant women were not hypertensive (normotensive) and thus, were considered the control group. Socio-demographic characteristics of the participants were generated using structured questionnaire, while lipid profiles of the participants were determined using standard procedures. Results obtained from this study shows that 80% and 34.28% of the hypertensive and normotensive pregnant women respectively were within the age range of 32-37 years old, while 68.6% and 48.57% of the hypertensive and normotensive pregnant women respectively were traders and had completed only secondary school education. The value recorded on Total Cholesterol (TC) , Very Low Density Lipoprotein (VLDL), Low Density Lipoprotein (LDL), and Triglycerol (TG) in Hypertensive Pregnant Women (HYPW) were significantly (p<0.05) higher than those reported for their normotensive counterparts. In conclusion, it can be deduced from this study that pregnant women who are within 32-37 years of age are prone to hypertension during pregnancy, while social determinants of health (SDOH) can support incidence of hypertension.
References
Householder, A. S. (1970), The numerical treatment of a single nonlinear equation. McGraw-Hill, New York.
Jay,L, O. (2001). A note on Q-order of convergence, BIT Numerical Math., vol. 41, pp. 422-429.
Kung, H. and Traub, J. F. (1974). Optimal order of one-point and multi-point iteration, Applied
Mathematics and Computation, vol. 21, pp. 643-651.
Nazeer, W; Tanveer, M.; Kang, S. M. and Naseem, A. (2016). A new Householder’s method free from second derivatives for solving nonlinear equations and polynomiography, J. of Nonlinear Science and Applications, vol.9, pp. 998-1007.
Nadeem G. A., Aslam W. and Ali,F. (2023). An optimal fourth-order second derivative freeiterative method for nonlinear scientific equations, Kuwait J. Sci., vol. 50(2A), pp. 1-15,.
Obadah, S. S. and Ishak, H. (2021). Optimal Eight-Order solver for nonlinear equations with applications in chemical engineering, Intelligent Automation & Soft Computing, vol. 27, no. 2, pp.379-389.
Ogbereyivwe, O. and Umar, S. S. (2023a). Behind Weerakoon and Fernando’s Scheme: Is Weerakoon and Fernado Scheme version computationally better than its power-means variant?, FUDMA Journal of Sciences, vol. 7, no. 6, pp.368-371.
Ogbereyivwe, O. and Umar, S. S. (2023b). Optimal Parameterised Families of Modified Householder method with and without Restraint on Function Derivative, Global Analysis and Discrete Mathematics (In press), https://doi.org/10.22128/GADM.2023.686.1093.
Ogbereyivwe, O. and Umar, S. S.and Izevbizua, O. (2023). Some high-Order convergence modifications of the Householder method for Nonlinear Equations, Communications in Nonlinear Analysis, vol. 10, pp. 1-11.
Ogbereyivwe, O. and Izevbizua, O. (2023). A three-free-parameter class of power series based iterative method for approximation of nonlinear equations solution, Iranian Journal of Numerical Analysis and Optimization, vol. 13, no. 2, 157-169.
Sarima, S. A. and Hashim, I. (2020). New optimal Newton-Householder methods for solving nonlinear equations and their dynamics, Computers, Materials and Continua, vol. 65, no. 1, pp. 69-85.
Published
How to Cite
Issue
Section
FUDMA Journal of Sciences
