Laelatul Khikmah, Ayu Ashari, Atika Nurani Ambarwati, Vania Putri Priyandhini, Muhammad Alif Natonegoro

BINARY LOGISTIC REGRESSION ANALYSIS OF ENVIRONMENTAL AND SOCIODEMOGRAPHIC DETERMINANTS FOR CHILDHOOD STUNTING

Introduction

Binary logistic regression analysis of environmental and sociodemographic determinants for childhood stunting. Analyze environmental and sociodemographic determinants of childhood stunting in Central Java via binary logistic regression. Highlights urban living and unsafe water as key risks.

Abstract

This study analyzed the influence of regional disparities, environmental factors, and sociodemographic characteristics on stunting risk among children under five in Central Java. A cross-sectional design utilized secondary data from 73,358 children, which were evaluated through binary logistic regression to identify multiple risk factors. The results revealed that children residing in urban areas exhibited 1.73 times higher odds of stunting (95% CI: 1.27–2.36, p < 0.001). Unsafe non-drinking water access emerged as the most significant predictor, increasing stunting odds by 2.30 times (95% CI:1.56–3.37, p < 0.001). Conversely, parental education, employment status, and toilet availability showed no statistically significant associations with the outcome in this cohort. The study concluded that structural environmental challenges in urbanized settings outweighed individual sociodemographic factors. These findings highlight the necessity for targeted urban-specific sanitation strategies and improved water quality for daily household hygiene to effectively mitigate stunting prevalence and support regional health development targets.

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