Determinants of Stunting Among Under-Five Years Children Using the Ordinal Logistic Regression Model
- DOI
- 10.2991/assehr.k.210508.096How to use a DOI?
- Keywords
- Children, Ordinal Logistic Regression, Stunting
- Abstract
Stunting is a kind of chronic nutritional problem among under-five years children that characterized by a shorter height compared to other children of their age. The ordinal logistic regression is one statistical method that used to analyze the ordinal response variable with three or more categories and predictor variables that are categorical or continuous. This method has been used in various fields, one of them is in the health field. In this study, ordinal logistic regression is used to describe the correlation between stunting status of children and birth weight, birth length, mother’s age, mother’s height, mother’s knowledge about nutrition, parenting, health services, hygiene and sanitation, number of children and number of family members. The stunting status of children in this study is divided into three kind which are severely stunted, moderately stunted, and normal stunted. The aim of this study is to describe the characteristics of children and to determine the factors that influence the stunting status of children in priority villages for stunting prevention i.e. Bucorwetan and Alaspandan village in the Probolinggo district, East Java, Indonesia. The prevalence of stunting was 30% (22.5% moderately, 7.5% severely). The mother’s height and health services were the important determinants of stunting.
- Copyright
- © 2021, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Marisa Rifada AU - Nur Chamidah AU - Putri Nuraini AU - Faris Dwiki Gunawan AU - Lailatul Muniroh PY - 2021 DA - 2021/05/11 TI - Determinants of Stunting Among Under-Five Years Children Using the Ordinal Logistic Regression Model BT - Proceedings of the 1st International Conference on Mathematics and Mathematics Education (ICMMEd 2020) PB - Atlantis Press SP - 405 EP - 411 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.210508.096 DO - 10.2991/assehr.k.210508.096 ID - Rifada2021 ER -