Cargando…

Infant Mortality Trends and Determinants in Kazakhstan

Infant mortality rate (IMR) is a crucial indicator of healthcare performance and a reflection of a country’s socioeconomic development. We analyzed the trends of IMR in Central Asia (CA) countries and its determinants in Kazakhstan, which is a middle-income country. Linear regression was used for IM...

Descripción completa

Detalles Bibliográficos
Autores principales: Yerdessov, Nurbek, Zhamantayev, Olzhas, Bolatova, Zhanerke, Nukeshtayeva, Karina, Kayupova, Gaukhar, Turmukhambetova, Anar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10297167/
https://www.ncbi.nlm.nih.gov/pubmed/37371155
http://dx.doi.org/10.3390/children10060923
_version_ 1785063819330977792
author Yerdessov, Nurbek
Zhamantayev, Olzhas
Bolatova, Zhanerke
Nukeshtayeva, Karina
Kayupova, Gaukhar
Turmukhambetova, Anar
author_facet Yerdessov, Nurbek
Zhamantayev, Olzhas
Bolatova, Zhanerke
Nukeshtayeva, Karina
Kayupova, Gaukhar
Turmukhambetova, Anar
author_sort Yerdessov, Nurbek
collection PubMed
description Infant mortality rate (IMR) is a crucial indicator of healthcare performance and a reflection of a country’s socioeconomic development. We analyzed the trends of IMR in Central Asia (CA) countries and its determinants in Kazakhstan, which is a middle-income country. Linear regression was used for IMR trend analysis in CA countries from 2000 to 2020 and for exploring associations between IMR and socioeconomic factors, health service-related factors, and population health indicators-related factors. A gamma generalized linear model was applied to define associations with various determinants. Our analysis revealed that IMR has decreased in all CA countries, with Kazakhstan having the lowest rate in 2000 and 2020. Our results suggest that socioeconomic indicators, such as total unemployment, Gini index, current health expenditure, gross domestic product (GDP), proportion of people living in poverty, and births by 15–19-year-old mothers, were associated with increased infant mortality rates. Improving socioeconomic conditions, investing in healthcare systems, reducing poverty and income inequality, and improving access to education, are all potential issues for further development. Addressing these factors may be critical for improving maternal and child health outcomes in the region.
format Online
Article
Text
id pubmed-10297167
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-102971672023-06-28 Infant Mortality Trends and Determinants in Kazakhstan Yerdessov, Nurbek Zhamantayev, Olzhas Bolatova, Zhanerke Nukeshtayeva, Karina Kayupova, Gaukhar Turmukhambetova, Anar Children (Basel) Article Infant mortality rate (IMR) is a crucial indicator of healthcare performance and a reflection of a country’s socioeconomic development. We analyzed the trends of IMR in Central Asia (CA) countries and its determinants in Kazakhstan, which is a middle-income country. Linear regression was used for IMR trend analysis in CA countries from 2000 to 2020 and for exploring associations between IMR and socioeconomic factors, health service-related factors, and population health indicators-related factors. A gamma generalized linear model was applied to define associations with various determinants. Our analysis revealed that IMR has decreased in all CA countries, with Kazakhstan having the lowest rate in 2000 and 2020. Our results suggest that socioeconomic indicators, such as total unemployment, Gini index, current health expenditure, gross domestic product (GDP), proportion of people living in poverty, and births by 15–19-year-old mothers, were associated with increased infant mortality rates. Improving socioeconomic conditions, investing in healthcare systems, reducing poverty and income inequality, and improving access to education, are all potential issues for further development. Addressing these factors may be critical for improving maternal and child health outcomes in the region. MDPI 2023-05-24 /pmc/articles/PMC10297167/ /pubmed/37371155 http://dx.doi.org/10.3390/children10060923 Text en © 2023 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
Yerdessov, Nurbek
Zhamantayev, Olzhas
Bolatova, Zhanerke
Nukeshtayeva, Karina
Kayupova, Gaukhar
Turmukhambetova, Anar
Infant Mortality Trends and Determinants in Kazakhstan
title Infant Mortality Trends and Determinants in Kazakhstan
title_full Infant Mortality Trends and Determinants in Kazakhstan
title_fullStr Infant Mortality Trends and Determinants in Kazakhstan
title_full_unstemmed Infant Mortality Trends and Determinants in Kazakhstan
title_short Infant Mortality Trends and Determinants in Kazakhstan
title_sort infant mortality trends and determinants in kazakhstan
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10297167/
https://www.ncbi.nlm.nih.gov/pubmed/37371155
http://dx.doi.org/10.3390/children10060923
work_keys_str_mv AT yerdessovnurbek infantmortalitytrendsanddeterminantsinkazakhstan
AT zhamantayevolzhas infantmortalitytrendsanddeterminantsinkazakhstan
AT bolatovazhanerke infantmortalitytrendsanddeterminantsinkazakhstan
AT nukeshtayevakarina infantmortalitytrendsanddeterminantsinkazakhstan
AT kayupovagaukhar infantmortalitytrendsanddeterminantsinkazakhstan
AT turmukhambetovaanar infantmortalitytrendsanddeterminantsinkazakhstan