A Prediction Model of Stunting Incidents Based on Water, Sanitation, Hygiene (WASH), House Conditions, And Infections in Toddlers in Tulang Bawang District, Lampung Province

Abstract

Introduction: Stunting is a chronic nutritional problem that affects the growth and development of toddlers. Environmental factors such as water, sanitation, hygiene (WASH), home conditions, and infection play an important role, but prediction models specific to the level of regency are still limited. Objective: This study aimed to develop a predictive model for stunting in toddlers aged 0–59 months in the Regency of Tulang Bawang in 2024 based on WASH.
Materials and Methods: An observational analysis with a cross-sectional approach using secondary data from e-PPGBM and Data Collection Family 2024 (n = 1,287 stunted toddlers after exclusion). The independent variables included access to drinking water, sanitation, hygiene, garbage and waste management, housing conditions, and history of infection. Bivariate (chi-square) and multivariate (regression) logistic analyses were performed using SPSS.
Results: The prevalence of stunting was 18.3%. The final model showed that unsafe drinking water access (aOR = 2.5; 95% CI: 1.6–3.8), inadequate sanitation (aOR = 4.0; 95% CI: 1,9–8,)1dbehaviorr (aOR = 2.2; 95% CI: 1.4–,) and history of infection (aOR = 3.2; 95% CI: 1..)5weree significant independent predictors. The Hosmer-Lemeshow test showed that the model was good (p > 0.05).
Conclusion: The prediction model can be used for the early identification of the risk of stunting. Intervention priority on WASH and prevention of infection is recommended for accelerating stunting reduction in the Regency of Tulang Bawang.