Research Article
Risk of Death for Low Birth Weight Babies Using Cox Regression
@INPROCEEDINGS{10.4108/eai.12-10-2019.2296440, author={Dewi Murni and Yenni Kurniawati and Rosi Ramayanti}, title={Risk of Death for Low Birth Weight Babies Using Cox Regression}, proceedings={Proceedings of the 7th Mathematics, Science, and Computer Science Education International Seminar, MSCEIS 2019, 12 October 2019, Bandung, West Java, Indonesia}, publisher={EAI}, proceedings_a={MSCEIS}, year={2020}, month={7}, keywords={lbw neonatal cox regression}, doi={10.4108/eai.12-10-2019.2296440} }- Dewi Murni
Yenni Kurniawati
Rosi Ramayanti
Year: 2020
Risk of Death for Low Birth Weight Babies Using Cox Regression
MSCEIS
EAI
DOI: 10.4108/eai.12-10-2019.2296440
Abstract
Low Birth Weight (LBW) is one of the factors triggering the occurrence of infant mortality in the neonatal period. Factors affecting the risk of low birth weight is maternal death, fetal, infant birth weight, and socio-economic factors. That this study aims to look at the factors that affect the risk of death LBW base on the chance of death factors. One statistical analysis used in looking at the relationship of LBW risk of death is the Cox regression model. The results of this study indicate that the factors that influence the risk of LBW death are gestational age and infant birth weight. Opportunity risk of death for LBW who have gestational age 37 weeks is 8.424 times greater than the LBW who have 37 weeks gestation. Then chances LBW risk of death with birth weight 1499 gr was 8.547 times greater than the LBW with birth weight 1500 – 2499 gr.
