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Analysis of Socioeconomic, Utilization of Maternal Health Services, and Toddler’s Characteristics as Stunting Risk Factors

Stunting prevalence in South Kalimantan has been higher than the national figure and is the sixth highest in Indonesia. Not many studies in South Kalimantan have analysed the risk factors for stunting comprehensively that combine sociodemographic factors, utilization of maternal health services, and...

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Autores principales: Noor, Meitria Syahadatina, Andrestian, Meilla Dwi, Dina, Resa Ana, Ferdina, Ayunina Rizky, Dewi, Zulfiana, Hariati, Niken Widyastuti, Rachman, Purnawati Hustina, Setiawan, Muhammad Irwan, Yuana, Windy Tri, Khomsan, Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9606970/
https://www.ncbi.nlm.nih.gov/pubmed/36297057
http://dx.doi.org/10.3390/nu14204373
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author Noor, Meitria Syahadatina
Andrestian, Meilla Dwi
Dina, Resa Ana
Ferdina, Ayunina Rizky
Dewi, Zulfiana
Hariati, Niken Widyastuti
Rachman, Purnawati Hustina
Setiawan, Muhammad Irwan
Yuana, Windy Tri
Khomsan, Ali
author_facet Noor, Meitria Syahadatina
Andrestian, Meilla Dwi
Dina, Resa Ana
Ferdina, Ayunina Rizky
Dewi, Zulfiana
Hariati, Niken Widyastuti
Rachman, Purnawati Hustina
Setiawan, Muhammad Irwan
Yuana, Windy Tri
Khomsan, Ali
author_sort Noor, Meitria Syahadatina
collection PubMed
description Stunting prevalence in South Kalimantan has been higher than the national figure and is the sixth highest in Indonesia. Not many studies in South Kalimantan have analysed the risk factors for stunting comprehensively that combine sociodemographic factors, utilization of maternal health services, and characteristics of children. Therefore, the purpose of this study was to analyse sociodemographic factors, utilization of maternal health services, and characteristics of children under 5 as determinants of stunting in South Kalimantan Province. This study used an analytic observational method with a cross-sectional design. Data collection used secondary data from the results of South Kalimantan Baseline Health Research 2018. The total population of toddlers obtained from South Kalimantan Baseline Health Research 2018 data was 1218 toddlers, and all of them were taken as samples. Data analysis used a chi square test for bivariate test and Logistic Regression for multivariate test. There is a relationship between mother’s education level (p = 0.001), father’s education (p = 0.002), toddler age (p < 0.001), low birth weight (p = 0.05), exclusive breastfeeding (p = 0.008), and underweight (p = 0.000) with stunting. The data were continued with the Logistics Regression test and the dominant variables related to stunting were underweight (p < 0.001 with OR 18,241), under-five age (p < 0.001, with OR value for ages 24–35 months 9511), and premature birth (p = 0.027 with an OR of 2187). The conclusion of this study is that the most important factor in the incidence of stunting in South Kalimantan is underweight nutritional status.
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spelling pubmed-96069702022-10-28 Analysis of Socioeconomic, Utilization of Maternal Health Services, and Toddler’s Characteristics as Stunting Risk Factors Noor, Meitria Syahadatina Andrestian, Meilla Dwi Dina, Resa Ana Ferdina, Ayunina Rizky Dewi, Zulfiana Hariati, Niken Widyastuti Rachman, Purnawati Hustina Setiawan, Muhammad Irwan Yuana, Windy Tri Khomsan, Ali Nutrients Article Stunting prevalence in South Kalimantan has been higher than the national figure and is the sixth highest in Indonesia. Not many studies in South Kalimantan have analysed the risk factors for stunting comprehensively that combine sociodemographic factors, utilization of maternal health services, and characteristics of children. Therefore, the purpose of this study was to analyse sociodemographic factors, utilization of maternal health services, and characteristics of children under 5 as determinants of stunting in South Kalimantan Province. This study used an analytic observational method with a cross-sectional design. Data collection used secondary data from the results of South Kalimantan Baseline Health Research 2018. The total population of toddlers obtained from South Kalimantan Baseline Health Research 2018 data was 1218 toddlers, and all of them were taken as samples. Data analysis used a chi square test for bivariate test and Logistic Regression for multivariate test. There is a relationship between mother’s education level (p = 0.001), father’s education (p = 0.002), toddler age (p < 0.001), low birth weight (p = 0.05), exclusive breastfeeding (p = 0.008), and underweight (p = 0.000) with stunting. The data were continued with the Logistics Regression test and the dominant variables related to stunting were underweight (p < 0.001 with OR 18,241), under-five age (p < 0.001, with OR value for ages 24–35 months 9511), and premature birth (p = 0.027 with an OR of 2187). The conclusion of this study is that the most important factor in the incidence of stunting in South Kalimantan is underweight nutritional status. MDPI 2022-10-18 /pmc/articles/PMC9606970/ /pubmed/36297057 http://dx.doi.org/10.3390/nu14204373 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Noor, Meitria Syahadatina
Andrestian, Meilla Dwi
Dina, Resa Ana
Ferdina, Ayunina Rizky
Dewi, Zulfiana
Hariati, Niken Widyastuti
Rachman, Purnawati Hustina
Setiawan, Muhammad Irwan
Yuana, Windy Tri
Khomsan, Ali
Analysis of Socioeconomic, Utilization of Maternal Health Services, and Toddler’s Characteristics as Stunting Risk Factors
title Analysis of Socioeconomic, Utilization of Maternal Health Services, and Toddler’s Characteristics as Stunting Risk Factors
title_full Analysis of Socioeconomic, Utilization of Maternal Health Services, and Toddler’s Characteristics as Stunting Risk Factors
title_fullStr Analysis of Socioeconomic, Utilization of Maternal Health Services, and Toddler’s Characteristics as Stunting Risk Factors
title_full_unstemmed Analysis of Socioeconomic, Utilization of Maternal Health Services, and Toddler’s Characteristics as Stunting Risk Factors
title_short Analysis of Socioeconomic, Utilization of Maternal Health Services, and Toddler’s Characteristics as Stunting Risk Factors
title_sort analysis of socioeconomic, utilization of maternal health services, and toddler’s characteristics as stunting risk factors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9606970/
https://www.ncbi.nlm.nih.gov/pubmed/36297057
http://dx.doi.org/10.3390/nu14204373
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