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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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. |
format | Online Article Text |
id | pubmed-9606970 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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