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Socioeconomic Factors Contributing to Antibiotic Resistance in China: A Panel Data Analysis

The relationship between socioeconomic factors and antibiotic resistance (ABR) prevalence remains a knowledge gap in China. In this study, our aim was to examine the association between ABR prevalence and socioeconomic factors across 30 provinces in mainland China. We used two measures of level of A...

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Autores principales: Zhen, Xuemei, Chen, Jingchunyu, Sun, Xueshan, Sun, Qiang, Guo, Shasha, Stålsby Lundborg, Cecilia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8388882/
https://www.ncbi.nlm.nih.gov/pubmed/34439044
http://dx.doi.org/10.3390/antibiotics10080994
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author Zhen, Xuemei
Chen, Jingchunyu
Sun, Xueshan
Sun, Qiang
Guo, Shasha
Stålsby Lundborg, Cecilia
author_facet Zhen, Xuemei
Chen, Jingchunyu
Sun, Xueshan
Sun, Qiang
Guo, Shasha
Stålsby Lundborg, Cecilia
author_sort Zhen, Xuemei
collection PubMed
description The relationship between socioeconomic factors and antibiotic resistance (ABR) prevalence remains a knowledge gap in China. In this study, our aim was to examine the association between ABR prevalence and socioeconomic factors across 30 provinces in mainland China. We used two measures of level of ABR: the proportion of methicillin-resistant Staphylococcus aureus (MRSA), third-generation cephalosporin-resistant Escherichia coli (3GCREC), and third-generation cephalosporin-resistant Klebsiella pneumoniae (3GCRKP), and the aggregate resistance. The data of ABR prevalence, education, gross domestic product (GDP) per capita, out-of-pocket (OOP) health expenditure, physician density, hospital bed density, and public toilet density during 2014 and 2018 in 30 provinces in mainland China were included. We examined the association between ABR prevalence and potential contributing socioeconomic factors using panel data modeling. In addition, we explored this relationship in the eastern, central, and western economic zones. Our results indicated that GDP per capita was significantly positively correlated with ABR in mainland China and the eastern economic zone; however, significantly positive associations did not exist in the central and western economic zones. Surprisingly, both higher GDP per capita and higher OOP health expenditure were associated with a higher level of MRSA, but a lower level of 3GCREC; higher physician density was associated with a lower level of MRSA, but a higher level of 3GCREC. In addition, ABR prevalence presented a decline trend during 2014 and 2018. Our study showed the potential associ-ations between resistance and GDP per capita, OOP health expenditure, physician density. It high-lights that the social and economic determinants can be of importance in tacking the development and spread of ABR in mainland China.
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spelling pubmed-83888822021-08-27 Socioeconomic Factors Contributing to Antibiotic Resistance in China: A Panel Data Analysis Zhen, Xuemei Chen, Jingchunyu Sun, Xueshan Sun, Qiang Guo, Shasha Stålsby Lundborg, Cecilia Antibiotics (Basel) Article The relationship between socioeconomic factors and antibiotic resistance (ABR) prevalence remains a knowledge gap in China. In this study, our aim was to examine the association between ABR prevalence and socioeconomic factors across 30 provinces in mainland China. We used two measures of level of ABR: the proportion of methicillin-resistant Staphylococcus aureus (MRSA), third-generation cephalosporin-resistant Escherichia coli (3GCREC), and third-generation cephalosporin-resistant Klebsiella pneumoniae (3GCRKP), and the aggregate resistance. The data of ABR prevalence, education, gross domestic product (GDP) per capita, out-of-pocket (OOP) health expenditure, physician density, hospital bed density, and public toilet density during 2014 and 2018 in 30 provinces in mainland China were included. We examined the association between ABR prevalence and potential contributing socioeconomic factors using panel data modeling. In addition, we explored this relationship in the eastern, central, and western economic zones. Our results indicated that GDP per capita was significantly positively correlated with ABR in mainland China and the eastern economic zone; however, significantly positive associations did not exist in the central and western economic zones. Surprisingly, both higher GDP per capita and higher OOP health expenditure were associated with a higher level of MRSA, but a lower level of 3GCREC; higher physician density was associated with a lower level of MRSA, but a higher level of 3GCREC. In addition, ABR prevalence presented a decline trend during 2014 and 2018. Our study showed the potential associ-ations between resistance and GDP per capita, OOP health expenditure, physician density. It high-lights that the social and economic determinants can be of importance in tacking the development and spread of ABR in mainland China. MDPI 2021-08-17 /pmc/articles/PMC8388882/ /pubmed/34439044 http://dx.doi.org/10.3390/antibiotics10080994 Text en © 2021 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
Zhen, Xuemei
Chen, Jingchunyu
Sun, Xueshan
Sun, Qiang
Guo, Shasha
Stålsby Lundborg, Cecilia
Socioeconomic Factors Contributing to Antibiotic Resistance in China: A Panel Data Analysis
title Socioeconomic Factors Contributing to Antibiotic Resistance in China: A Panel Data Analysis
title_full Socioeconomic Factors Contributing to Antibiotic Resistance in China: A Panel Data Analysis
title_fullStr Socioeconomic Factors Contributing to Antibiotic Resistance in China: A Panel Data Analysis
title_full_unstemmed Socioeconomic Factors Contributing to Antibiotic Resistance in China: A Panel Data Analysis
title_short Socioeconomic Factors Contributing to Antibiotic Resistance in China: A Panel Data Analysis
title_sort socioeconomic factors contributing to antibiotic resistance in china: a panel data analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8388882/
https://www.ncbi.nlm.nih.gov/pubmed/34439044
http://dx.doi.org/10.3390/antibiotics10080994
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