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Volume 14, Issue 2 (2026)
Health Educ Health Promot 2026, 14(2): 195-203 |
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Received: 2026/04/4 | Accepted: 2026/05/18 | Published: 2026/06/2
Received: 2026/04/4 | Accepted: 2026/05/18 | Published: 2026/06/2
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Musni M, Heriyana D, Irawati I, Bujawati E, Syam A, Malik M. A Predictive Model for Stunting Risk in Infants Using Health Belief Model Constructs and Feeding Indicators. Health Educ Health Promot 2026; 14 (2) :195-203
URL: http://hehp.daneshafarand.org/article-4-85693-en.html
URL: http://hehp.daneshafarand.org/article-4-85693-en.html
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1- Department of Midwifery, Institute Batari Toja Bone, Bone Regency, Indonesia
2- Department of Epidemiology, Faculty of Medicine and Health Sciences, Alauddin State Islamic University, Makassar, Indonesia
3- Department of Midwifery, Faculty of Midwifery Professional Education, Gunung Sari University, Makassar, Indonesia
2- Department of Epidemiology, Faculty of Medicine and Health Sciences, Alauddin State Islamic University, Makassar, Indonesia
3- Department of Midwifery, Faculty of Midwifery Professional Education, Gunung Sari University, Makassar, Indonesia
Abstract (115 Views)
Aims: Stunting in children under five remains a critical public health problem in Indonesia, particularly in rural areas where access to optimal complementary feeding practices and health literacy are limited. This study aimed to develop and validate a predictive model to identify infants aged 6-12 months at risk of stunting using maternal behavioral determinants and feeding indicators.
Instrument & Methods: This analytical cross-sectional study was conducted on 401 mother–infant dyads in Kabupaten Bone, Indonesia. The model incorporated constructs from the health belief model, including perceived severity, benefits, barriers, self-efficacy, and cues to action in feeding, based on WHO/UNICEF criteria (minimum dietary diversity, minimum meal frequency, and minimum acceptable diet). Structural equation modeling was applied to test direct and indirect pathways to risk classification.
Findings: Feeding practices were the strongest direct predictor of stunting risk (β=0.537; p<0.001). Barriers indirectly increased risk by negatively affecting feeding behavior. The model demonstrated an acceptable fit (standardized root mean square residual=0.061) and explained substantial variance in the primary outcomes (R²=0.825 for intention, 0.526 for feeding practices, and 0.542 for risk).
Conclusion: Maternal beliefs and behavioral intentions highly influence complementary feeding practices, which in turn reduce the risk of stunting in infants.
Instrument & Methods: This analytical cross-sectional study was conducted on 401 mother–infant dyads in Kabupaten Bone, Indonesia. The model incorporated constructs from the health belief model, including perceived severity, benefits, barriers, self-efficacy, and cues to action in feeding, based on WHO/UNICEF criteria (minimum dietary diversity, minimum meal frequency, and minimum acceptable diet). Structural equation modeling was applied to test direct and indirect pathways to risk classification.
Findings: Feeding practices were the strongest direct predictor of stunting risk (β=0.537; p<0.001). Barriers indirectly increased risk by negatively affecting feeding behavior. The model demonstrated an acceptable fit (standardized root mean square residual=0.061) and explained substantial variance in the primary outcomes (R²=0.825 for intention, 0.526 for feeding practices, and 0.542 for risk).
Conclusion: Maternal beliefs and behavioral intentions highly influence complementary feeding practices, which in turn reduce the risk of stunting in infants.
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