Modeling Birthweight Using Quantile Regression at the University of Maiduguri Teaching Hospital, Borno State, Nigeria
PDF

Keywords

Quantile Regression
Birthweight
Maternal Related Factors
Infant Mortality

How to Cite

Bakari,H.R., Dibal, N.P., Falmata, A.M., & Terab, M.A. (2019). Modeling Birthweight Using Quantile Regression at the University of Maiduguri Teaching Hospital, Borno State, Nigeria. Research Journal of Science, 19(1), 1 - 10. Retrieved from http://journals.unimaid.edu.ng/index.php/rjs/article/view/70

Abstract

Extreme infant’s birthweights have short and long-term effects on the health of infant and mother leading to complications causing neonatal deaths and or maternal deaths. We use quantile regression analysis which is robust against extreme values to estimate the relationship of  with  conditional on quantiles  (or percentiles) of by modeling the entire distribution of the response variable. In this work, we model the birthweight of infants on related maternal factors, using quantile regression where the results show that different factor combinations  are  significant  at  different  levels  of  the  quantiles;  at maternal height, no prenatal care and pregnancy complications were all statistically significant (           ); at            , maternal weight, no prenatal care,  1st visit at 3rd trimester and pregnancy complications were found to be statistically significant with  (      );  and at      , maternal weight and     education  level  3  are  statistically  significant  with   .  These  results   indicate the performance of the quantile regression in assessing the entire distribution of the infant’s birthweight.

PDF

References

Ades, A., Johnson, B. A and Berger, S. (2005). Management of low birth weight infants with congenital heart disease. Clinical perinatology, 32(4): 999–1015.

Alijanzadeh, M., Asefzadeh, S. and Zare, S. A. (2016). "Correlation between Human Development Index and Infant Mortality Rate Worldwide". Biotechnology and Health Sciences. 3 (1). doi:10.17795/ bhs-35330. ISSN 2383-028X.

Andrews K. M., Brouillette, D. B., Brouillette, R.T. (2008). "Mortality,Infant". Encyclopedia of Infant and Early Childhood Development. Elsevier.343-59. doi:10.1016/B978- 012370877-9.00084-0.

Anthopolos, R. and Becker, C. M. (2010). "Global Infant Mortality: Correcting for Undercounting". World Development. 38 (4): 467-481. doi:10.1016/j.worlddev.2009.1 1.013.

Beltrano, J. E. and Leong. R, N. (2013). Regression Analyses of the Philippine birthweight distribution. Presented at the Research Congress De La Salle University Manila. WCF- 008.

Child Trends Databank. (2016). Low and very low birthweight infants. Available at: https://www.childtrends.org/?indicators=low-and-very- low-birthweight-infants

Dollberg, S., Mimouni, F. B., Lusky, A. and Reichman, B. (2003). Effect of ethnicity on mortality of very low birthweight infants in Israel. In collaboration with the Israel Neonatal Network. Arch Dis Child Fetal Neonatal Ed; 88:333–338

Fallah, R., Shoghli, A., Marzban, A., Sadeghzadeh, M. and Motamed, N. (2016). Assessment of Risk Factors for Low Birth weight of Infants in Zanjan Province Using Quantile Regression Analysis. Journal Preventive Care in Nursing and Midwifery 6 (4), 116-129.

Furno, M. and Vistocco, D. (2018). Quantile Regression: Estimation and Simulation. Hoboken, NJ: John Wiley & Sons. ISBN 9781119975281.

Genowska A, Jamiołkowski J, Szafraniec K, Stepaniak U, Szpak A, Pająk A (2015). "Environmental and socio- economic determinants of infant mortality in Poland: an ecological study". Environmenta l Health. 14: 61. doi:10.1186/s 12940-015-00481. PMC 4508882. PMID 26195213.

Geraci, M. (2013). Estimation of regression quantiles in complex surveys with data missing at random: An application to birth weight determinants. Statistical Methods in Medical Research, 25 (4) 1393–1421.

Gupta, R. K. (2007). Care of low birth weight neonates. JK Sci.10 (4):158–159.

Hong, R. and Ruiz-Beltran, M. (2008). Low birth weight as a risk factor for infant mortality in Egypt Eastern Mediterranean Health Journal, 14 (5), 992-1002

Idris, M. Z., Gupta, A., Mohan, U., Srivastava, A. K. and Das, V. (2000). Maternal health and LBW among institutional deliveries. Indian J Community Med.25:156–160.

Jayant D, Phalke DB, Bangal VB, Peeyuusha D, Sushen B. (2011) Maternal risk factors for low birth weight neonates: a hospital-based case-control study in rural area of Western Maharashtra, India. National Journal of Community Medicine 2(3):394– 398.

UNICEF (2017). "Under-Five Mortality". Retrieved 2017-03-07.

Uthman, O. (2007). Effect of low birth weight on infant mortality: Analysis Using Weibull Hazard Model. The Internet Journal of Epidemiology.6 (1).

World Health Organization World health statistics (2012). Geneva: WHO Press.

Downloads

Download data is not yet available.