THE ANALYSIS OF MULTIPLE LINEAR REGRESSION IN DETERMINING THE EFFECT OF LOW BIRTH WEIGHT INFANTS (LBW) AND NON-EXCLUSIVE BREASTFEEDING TOWARD PNEUMONIA OCCURRENCE IN EAST JAVA PROVINCE IN 2016

Abstract

ABSTRACT

Introduction:  Pneumonia is one of the acute respiratory infections affecting children under the age of five which is the main causes of morbidity and mortality in developing countries. It is viewed from the epidemiological triangle that there are many factors causing pneumonia. Some of the factors are Low Birth Weight infants (LBW) and non-exclusive breastfeeding. Both of these factors can cause the immune system to be weak, so it facilitates the spread of bacteria including the pneumonia ones.

Research Objective:  The objective of the research is to determine the effect of LBW and non-exclusive breastfeeding towards the incidence of pneumonia in East Java Province in 2016.

Research Method :  This research is an analytic observational research using retrospective research with sample of 37 regencies / cities in East Java Province using Simple Random Sampling and then analyzed using Multiple Linear Regression.

Result/Findings:  Based on the results using Multiple Linear Regression analysis, the obtained significant value of each variable is LBW (0.010) and non-exclusive breastfeeding (0.014) and also the value of coefficient of determination is 0.295 or 29.5%.

Conclusion:  There is a significant influence of the LBW and exclusive breastfeeding variables toward the occurrence of pneumonia and 29.5% of pneumonia event diversity can be explained by the LBW and non-exclusive breastfeeding variables.

Key Words:  Multiple Linear Regression analysis, pneumonia, LBW, non-exclusive breastfeeding