Responsive Prediction Model of Stunting in Toddlers in Indonesia

Abstract

Stunting is a global incident. The Report Global Nutrition Targets 2025 estimates that around 171 million to 314 million children under five year are stunted and 90% of them are in Asian countries including Indonesia. The purpose of this study was to develop responsive prediction index models ofstunting in toddler in Indonesia. Development of the index model used mathematical formulations using the TPB / SDGs indicator and food environment indicators. Time series-aggregate data were selected 14 variables based on data availability from 34 provinces in Indonesia in the span of 4 years (2015-2018). Furthermore, the index validation used the backward regression method with IBM SPSS Statistics version 22. The results showed that households with malaria incidence per 1000 people (X3), the population literacy rate is ≥15 years(X10), households have access to proper sanitation services (X13), and all methods of CPR for married couple aged 15-49 years (X14) was a responsive predictor of stunting in toddler in Indonesia. The index model wasstated by the equation Ŷ=67,464-0,318X9-0,571X14-0,186X12 with a R2 value of 49.9% and Radj value of 44.9%. Regarding the results of this study, it is suggested to consider the fulfillment of access to household sanitation facilities, specifically in resident area and vulnerable groups such as malaria endemic areas, increasing literacy, especially maternal literacy, and increasing use of all CPR way for EFA aged 15-49 years.