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Geographical disparities in infant mortality in the rural areas of China: a descriptive study, 2010–2018

BACKGROUND: The infant mortality rate (IMR) is considered a basic measure of public health for countries around the world. The specific aim of our study was to provide an updated description of infant mortality rate among different regions in rural China, and assess the trends and causes of the IMR...

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Autores principales: Yu, Xue, Wang, Yanping, Kang, Leni, Miao, Lei, Song, Xiaowei, Ran, Xuemei, Zhu, Jun, Liang, Juan, Li, Qi, Dai, Li, Li, Xiaohong, He, Chunhua, Li, Mingrong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9097431/
https://www.ncbi.nlm.nih.gov/pubmed/35549888
http://dx.doi.org/10.1186/s12887-022-03332-z
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author Yu, Xue
Wang, Yanping
Kang, Leni
Miao, Lei
Song, Xiaowei
Ran, Xuemei
Zhu, Jun
Liang, Juan
Li, Qi
Dai, Li
Li, Xiaohong
He, Chunhua
Li, Mingrong
author_facet Yu, Xue
Wang, Yanping
Kang, Leni
Miao, Lei
Song, Xiaowei
Ran, Xuemei
Zhu, Jun
Liang, Juan
Li, Qi
Dai, Li
Li, Xiaohong
He, Chunhua
Li, Mingrong
author_sort Yu, Xue
collection PubMed
description BACKGROUND: The infant mortality rate (IMR) is considered a basic measure of public health for countries around the world. The specific aim of our study was to provide an updated description of infant mortality rate among different regions in rural China, and assess the trends and causes of the IMR geographical disparities. METHODS: Data were collected from China’s Under-5 Child Mortality Surveillance System(U5CMSS). The annual number of deaths and causes of death were adjusted using a 3-year moving average underreporting rate based on annual national data quality control results. The average annual decline rate (AADR) and the relative risk (RR) of the IMR and cause-specific infant mortality were calculated by Poisson regression and the Cochran–Mantel–Haenszel method. Data analysis was completed by SAS software. RESULTS: There was an apparent decrease in infant mortality in rural China from 2010 to 2018, at the AADR of 11.0% (95%CI 9.6–12.4), 11.2% (95%CI 10.3–12.1) and 6.6% (95%CI 6.0–7.3) in the eastern, central and western rural areas, respectively. The IMR was highest in the western rural area, followed by the central and eastern rural areas. Compared with the eastern rural area, the RR of infant mortality in the central rural area remained at 1.4–1.6 and increased from 2.4 (95%CI 2.3–2.6) in 2010–2012 to 3.1 (95% CI 2.9–3.4) in 2016–2018 in the western rural area. Pneumonia, preterm birth /LBW and birth asphyxia were the leading causes of infant deaths in the western rural area. Mortality rates of these three causes fell significantly in 2010–2018 but contributed to a higher proportion of deaths in the western rural area than in the central and western rural ares. CONCLUSIONS: Our study indicated that the infant mortality rate dropped significantly from 2010 to 2018, however, geographical disparities of IMR in rural China are still persist. Therefore, there is an urgent need for public health programmes and policy interventions for infants in western rural China.
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spelling pubmed-90974312022-05-13 Geographical disparities in infant mortality in the rural areas of China: a descriptive study, 2010–2018 Yu, Xue Wang, Yanping Kang, Leni Miao, Lei Song, Xiaowei Ran, Xuemei Zhu, Jun Liang, Juan Li, Qi Dai, Li Li, Xiaohong He, Chunhua Li, Mingrong BMC Pediatr Research BACKGROUND: The infant mortality rate (IMR) is considered a basic measure of public health for countries around the world. The specific aim of our study was to provide an updated description of infant mortality rate among different regions in rural China, and assess the trends and causes of the IMR geographical disparities. METHODS: Data were collected from China’s Under-5 Child Mortality Surveillance System(U5CMSS). The annual number of deaths and causes of death were adjusted using a 3-year moving average underreporting rate based on annual national data quality control results. The average annual decline rate (AADR) and the relative risk (RR) of the IMR and cause-specific infant mortality were calculated by Poisson regression and the Cochran–Mantel–Haenszel method. Data analysis was completed by SAS software. RESULTS: There was an apparent decrease in infant mortality in rural China from 2010 to 2018, at the AADR of 11.0% (95%CI 9.6–12.4), 11.2% (95%CI 10.3–12.1) and 6.6% (95%CI 6.0–7.3) in the eastern, central and western rural areas, respectively. The IMR was highest in the western rural area, followed by the central and eastern rural areas. Compared with the eastern rural area, the RR of infant mortality in the central rural area remained at 1.4–1.6 and increased from 2.4 (95%CI 2.3–2.6) in 2010–2012 to 3.1 (95% CI 2.9–3.4) in 2016–2018 in the western rural area. Pneumonia, preterm birth /LBW and birth asphyxia were the leading causes of infant deaths in the western rural area. Mortality rates of these three causes fell significantly in 2010–2018 but contributed to a higher proportion of deaths in the western rural area than in the central and western rural ares. CONCLUSIONS: Our study indicated that the infant mortality rate dropped significantly from 2010 to 2018, however, geographical disparities of IMR in rural China are still persist. Therefore, there is an urgent need for public health programmes and policy interventions for infants in western rural China. BioMed Central 2022-05-12 /pmc/articles/PMC9097431/ /pubmed/35549888 http://dx.doi.org/10.1186/s12887-022-03332-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Yu, Xue
Wang, Yanping
Kang, Leni
Miao, Lei
Song, Xiaowei
Ran, Xuemei
Zhu, Jun
Liang, Juan
Li, Qi
Dai, Li
Li, Xiaohong
He, Chunhua
Li, Mingrong
Geographical disparities in infant mortality in the rural areas of China: a descriptive study, 2010–2018
title Geographical disparities in infant mortality in the rural areas of China: a descriptive study, 2010–2018
title_full Geographical disparities in infant mortality in the rural areas of China: a descriptive study, 2010–2018
title_fullStr Geographical disparities in infant mortality in the rural areas of China: a descriptive study, 2010–2018
title_full_unstemmed Geographical disparities in infant mortality in the rural areas of China: a descriptive study, 2010–2018
title_short Geographical disparities in infant mortality in the rural areas of China: a descriptive study, 2010–2018
title_sort geographical disparities in infant mortality in the rural areas of china: a descriptive study, 2010–2018
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9097431/
https://www.ncbi.nlm.nih.gov/pubmed/35549888
http://dx.doi.org/10.1186/s12887-022-03332-z
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