ANALYSIS OF FACTORS AFFECTING THE NUMBER OF STUNTING AND WASTING IN SOUTHEAST SULAWESI USING GEOGRAPHICALLY WEIGHTED BIVARIATE GENERALIZED POISSON REGRESSION

Abstract

Objective: Low nutritional status of children may lead to nutritional problems, such as stunting or wasting. Therefore, stunting and wasting management are important to avoid the negative effects on toddlers' growth and to prevent future decreased productivity of the individuals. The Geographically Weighted Bivariate Poisson Regression (GWBGPR), is an effort to support stunting and wasting management by determining the influential factors to assist the governments in improving the community's nutritional status. Method: This non-reactive unobtrusive method applied the secondary data from the Health Agency of Southern-East Sulawesi Province. The data were about the stunting and wasting cases. The unit analyses were the sub-districts in the province, 222 districts. Results: The GWBGPR model obtained 12 regional groups for the stunting cases and 17 regional groups for the wasting case with the most influential factors such as the newly born weight, the percentage of 6-month-old babies with exclusive breast milk, the percentage of toddlers with complete primary immunization, the percentage of toddlers with vitamin A, the percentage of toddlers suffering from acute respiratory syndrome, and the percentage of toddlers suffering from diarrhea which often occurs in the southern region of Southeast Sulawesi Province. Coclusions: The coefficients of the influencing factors explain that every additional 1% will increase the average number of stunting and wasting cases according to the coefficient value of each sub-district area assuming other variables are constant in the sub-district area which is significant.