You are currently viewing Identifying the most influential risk factors of frequent infant mortality in Iraq

Identifying the most influential risk factors of frequent infant mortality in Iraq

Name of journal /Periodicals of Engineering and Natural Sciences ISSN 2303-4521
Vol. 8, No. 1, January 2020, pp.197-204

Jassim N. Hussain
Department of Statistics, Administration and Economics College, University of Kerbala

ABSTRACT
Nowadays, frequent Infant Mortality for the married women are prevailing in Iraq. It may be also considered as a risky phenomenon in developing countries. It is the loss of an infant after viability. The estimated number is 2.5 million deaths occurring in the first month of life in 2017 alone. On the other hand, the survival rates of newborn infants reflect the quality of pregnancy care provided during work and
viability and the infrastructure for the infant care in the different regions and countries of the world. Numerous of risk factors are causing this phenomenon, but what are the most influential risk factors cause it in Iraq? Logistic regression is a statistical technique can be used to express the association between the number of infant mortality and the risk factors cause it, also they help to select the most influential risk factors for this case. The aim of this study was to use logistic regression to examine the association between biological, behavioral and lifestyle risk factors and the number of infant mortality; and to identify the most influential risk factors affected it. A simple random sample is drawn with size(200) consists of all women
who visit the primary health care centers in Babylon province in year 2018. Seventeen risk factors which are representing biological, behavioral and lifestyle factors of women under the study. The results of fitting Binary and ordinal logistic regressions with all seventeen risk factors show that four risk factors show a significance effect on the dependent variable. Consequently, A stepwise logistic regression was fitted, also, ordinal logistic regression model was fitted, but there are no much differences between the results of these models with different methods of fitting. However, all the results show that Husbands working were two times more likely to exhibit Infant Mortality than Husbands not working. Increasing age at marriage and woman weight were associated with an increased likelihood of exhibiting Infant Mortality, but increasing number of hours of women’s sleeping was associated with a reduction in the likelihood of exhibiting Infant Mortality.