Survival analysis of under-five mortality using Cox and frailty models in Ethiopia

J Health Popul Nutr. 2017 Jun 2;36(1):25. doi: 10.1186/s41043-017-0103-3.

Abstract

Background: The risk of a child dying before reaching 5 years of age is highest in sub-Saharan African countries. But in Ethiopia, under-five mortality rates have shown a substantial decline.

Methods: For this study, the Cox regression model for fixed and time-dependent explanatory variables was studied for under-five mortality in Ethiopia. We adapted survival analysis using the Cox regression model with 2011 Ethiopian Demographic and Health Survey data.

Results: From the results, it was found that under-five children who live in Addis Ababa had a lower hazard (risk) of death (p value = 0.048). This could be as a result of higher health facilities and living standards in Addis Ababa, compared to other regions. Under-five children who lived in rural areas had a higher hazard (risk) of death compared to those living in urban areas. In addition, under-five children who lived in rural areas had 18% (p value = 0.01) more hazard (risk) of death than those living in urban areas. Furthermore, with older mothers, the chance of a child dying before reaching the age of 5 is lower.

Conclusion: The chances of a child dying before reaching the age of 5 are less if the mother does not become pregnant again before the child reaches the age of 5. Therefore, giving birth when older and not becoming pregnant again before the child reaches the age of 5 is one means of reducing under-five mortality.

Keywords: EDHS; Frailty; Hazards; Interaction effect; Under-five mortality.

Publication types

  • Comparative Study

MeSH terms

  • Algorithms
  • Birth Intervals
  • Child Mortality*
  • Child, Preschool
  • Cross-Sectional Studies
  • Developing Countries
  • Ethiopia / epidemiology
  • Family Characteristics
  • Female
  • Frailty*
  • Health Surveys
  • Humans
  • Infant
  • Infant, Newborn
  • Male
  • Maternal Age
  • Models, Biological*
  • Proportional Hazards Models
  • Rural Health* / ethnology
  • Socioeconomic Factors
  • Survival Analysis
  • Urban Health* / ethnology