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Risk of Death for Low Birth Weight Babies Using Cox Regression
Dewi Murni, Yenni Kurniawati, Rosi Ramayanti

UNP


Abstract

Low Birth Wieght (LBW) is one of the factors triggering the occirence of infant mortality in the neonatal period. Factors affecting the risk of low birth weight is a factor of maternal death, fetal factors, infant birth weight factors 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.

Keywords: LBW, neonatal, Cox Regression

Topic: Mathematics

Plain Format | Corresponding Author (Dewi Murni)

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