Analysis of Stunting Risk Factors Using Binary Logistic Regression in the Working Area of Napan Community Health Center, North Bikomi District, North Central Timor Regency

Authors

  • Rosina Biaf Universitas Nusa Cendana
  • Keristina Br. Ginting Universitas Nusa Cendana
  • Jusrry Rosalina Pahnael Universitas Nusa Cendana
  • Robertus Dole Guntur Universitas Nusa Cendana

DOI:

https://doi.org/10.24252/msa.v14i2.62000

Keywords:

Stunting, Binary Logistic Regression, Toddlers, Risk Factors, Napan Health Center

Abstract

Stunting is a chronic nutritional problem that impacts children's physical growth and cognitive development. This study aims to analyze the risk factors for stunting in toddlers in the Napan Community Health Center (Puskesmas) area, North Bikomi District, North Central Timor Regency, using binary logistic regression analysis. This study employed a quantitative approach with a cross-sectional design. A purposive sample of 108 toddlers was selected, consisting of 54 stunted and 54 non-stunted children. Independent variables included gender, birth weight, history of infection, exclusive breastfeeding, immunization status, diet, parental income, access to clean water, cultural food taboos, and child-rearing culture. The analysis showed that birth weight, exclusive breastfeeding, parental income, access to clean water, and child-rearing culture significantly influenced the incidence of stunting . The resulting logistic regression model had a good classification accuracy in predicting stunting risk. These findings suggest that interventions addressing these factors can help reduce stunting prevalence, particularly in high-risk areas.

References

UNICEF, Ed., Children, food and nutrition. dalam The state of the world’s children, no. 2019. New York, NY: UNICEF, 2019.

Kementerian Kesehatan Republik Indonesia, Buku Saku Pemantauan Status Gizi. Jakarta: Direktorat Gizi, 2018.

World Health Organization, Global Nutrition Targets 2025: Policy Brief Series. WHO, 2014.

World Health Organization, UNICEF-WHO-The World Bank: Joint Child Malnutrition Estimates. Geneva: WHO, 2022.

Pos-Kupang.com, “Angka Stunting di Kabupaten TTU Meningkat,” Kupang, Agustus 2024. [Daring]. Tersedia pada: https://kupang.tribunnews.com/

M. R. Nugroho, R. N. Sasongko, dan M. Kristiawan, “Faktor-faktor yang Mempengaruhi Kejadian Stunting pada Anak Usia Dini di Indonesia,” JO, vol. 5, no. 2, Mar 2021, doi: 10.31004/obsesi.v5i2.1169.

A. Agresti, Categorical data analysis, 2. ed., [Nachdr.]. dalam Wiley series in probability and statistics. Hoboken, NJ: Wiley, 2008.

D. W. Hosmer dan S. Lemeshow, Applied logistic regression, 2nd ed. New York: Wiley, 2000. doi: 10.1002/0471722146.

I. Ghozali, Analisis Multivariate dengan program SPSS, vol. 12, 2 vol. Semarang: Badan Penerbit Universitas Diponegoro, 2005.

Sugiyono, Statistika untuk Penelitian. Bandung: Alfabeta, 2013.

I. Ghozali, Aplikasi Analisis Multivariate dengan Program IBM SPSS 25. Semarang: Badan Penerbit Universitas Diponegoro, 2021.

R. A. Johnson dan D. W. Wichern, Applied multivariate statistical analysis, 3. ed., 2. print. dalam Prentice-Hall international editions. Englewood Cliffs, NJ: Prentice-Hall Internat, 1992.

D. G. Kleinbaum, M. Klein, dan E. R. Pryor, Logistic regression: a self-learning text, 3rd ed. dalam Statistics for biology and health. New York: Springer, 2010.

Downloads

Published

2026-10-04

How to Cite

[1]
R. Biaf, K. Br. Ginting, J. R. Pahnael, and R. D. Guntur, “Analysis of Stunting Risk Factors Using Binary Logistic Regression in the Working Area of Napan Community Health Center, North Bikomi District, North Central Timor Regency”, MSA, vol. 14, no. 2, pp. 177–185, Oct. 2026.