Scoring System in Prediction of Stunting Risk Among Children in West Sumatera Province, Indonesia

Abstract

Masrul, Elly Usman, Amel Yanis, Ricvan Dana Nindrea.

This research explained scoring system in prediction of stunting risk among children in West Sumatera Province, Indonesia. This research was conducted in 2020 with case-control study among children under-five years. The number of respondents in this research were 40 cases group (stunting) and 40 control group (non-stunting) matching by age and sex. The sampling technique in this research was cluster random sampling. Data were gathered from primary data used a questionnaire. Data analysis was performed using chi-square test for bivariate analysis and multiple logistic regression for modeling, and Receiver Operation Characteristic (ROC) Curve as a diagnostic test in SPSS version 23.0. Sensitivity, specificity and accuracy ≥ 0.8 (80.0%) was assessed good. The scoring system for analyzing stunting risk in West Sumatera Province, Indonesia is based on predictors of mother’s level of education, birth weight, exclusive breastfeeding, the child’s appetite and parenting style. The accumulated total score obtained from the predictors is between 0 (if there is no risk) to 6 (if it has all risks). The cut-off point in grouping high risk of stunting and low risk of stunting is based on a total score of ≥ 4 (high risk of stunting) and < 4 (low risk of stunting). The accuracy of scoring system in prediction of stunting risk among children in West Sumatera Province, Indonesia was 87.2% with a sensitivity of 70.0% and specificity of 90.0%. This scoring system of stunting risk can be categorized quite well in predicting stunting risk in West Sumatera Province, Indonesia.