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Research on the socioeconomic factors that influence the development of voluntary, non‐remunerated blood donation in China—A correlation and regression analysis based on data from 2012 to 2018
BACKGROUND AND AIMS: Previous research has shown that socioeconomic factors, such as income and education, are associated with blood donation behavior. This study aims to investigate the factors that influence blood donation behavior using a large database of blood donation records and to provide fu...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10350559/ https://www.ncbi.nlm.nih.gov/pubmed/37465237 http://dx.doi.org/10.1002/hsr2.1341 |
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author | Lin, Feng Huang, Yi He, Xu Liu, Zhong |
author_facet | Lin, Feng Huang, Yi He, Xu Liu, Zhong |
author_sort | Lin, Feng |
collection | PubMed |
description | BACKGROUND AND AIMS: Previous research has shown that socioeconomic factors, such as income and education, are associated with blood donation behavior. This study aims to investigate the factors that influence blood donation behavior using a large database of blood donation records and to provide further empirical evidence and insights into the factors that influence blood donation behavior and to identify potential strategies to increase blood donation rates in China. METHODS: This study employed correlation analysis and regression analysis to investigate the impact of socioeconomic factors on blood donation rates in 36 major cities in China. The study also used the K‐Means clustering algorithm to identify the socioeconomic factors that influence blood donation behavior at the per capita level. Additionally, the study conducted correlation analysis between the donor's age groups and the socioeconomic factors. The indices of economy and education were determined by correlation analysis. RESULTS: At the city level, overall economic output and university student populations were positively correlated with total blood donation times. However, at the per capita level, this linear relationship disappeared. By applying the K‐Means clustering algorithm, the cities were divided into subgroups where the linear relationship reemerged. The study also found that the number of college students had a linear relationship with blood donors between the ages of 18–34. CONCLUSION: City characteristics and demographics significantly impact blood donation rates in different ways. A universal policy may have limited effect given the heterogeneity across cities. Tailored interventions targeting specific city clusters and education levels are needed to promote blood donation behavior, especially among youth and students. Investment in education and targeted education on blood donation appear particularly impactful. A combined approach integrating social and economic policies will likely be most effective. |
format | Online Article Text |
id | pubmed-10350559 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-103505592023-07-18 Research on the socioeconomic factors that influence the development of voluntary, non‐remunerated blood donation in China—A correlation and regression analysis based on data from 2012 to 2018 Lin, Feng Huang, Yi He, Xu Liu, Zhong Health Sci Rep Original Research BACKGROUND AND AIMS: Previous research has shown that socioeconomic factors, such as income and education, are associated with blood donation behavior. This study aims to investigate the factors that influence blood donation behavior using a large database of blood donation records and to provide further empirical evidence and insights into the factors that influence blood donation behavior and to identify potential strategies to increase blood donation rates in China. METHODS: This study employed correlation analysis and regression analysis to investigate the impact of socioeconomic factors on blood donation rates in 36 major cities in China. The study also used the K‐Means clustering algorithm to identify the socioeconomic factors that influence blood donation behavior at the per capita level. Additionally, the study conducted correlation analysis between the donor's age groups and the socioeconomic factors. The indices of economy and education were determined by correlation analysis. RESULTS: At the city level, overall economic output and university student populations were positively correlated with total blood donation times. However, at the per capita level, this linear relationship disappeared. By applying the K‐Means clustering algorithm, the cities were divided into subgroups where the linear relationship reemerged. The study also found that the number of college students had a linear relationship with blood donors between the ages of 18–34. CONCLUSION: City characteristics and demographics significantly impact blood donation rates in different ways. A universal policy may have limited effect given the heterogeneity across cities. Tailored interventions targeting specific city clusters and education levels are needed to promote blood donation behavior, especially among youth and students. Investment in education and targeted education on blood donation appear particularly impactful. A combined approach integrating social and economic policies will likely be most effective. John Wiley and Sons Inc. 2023-07-16 /pmc/articles/PMC10350559/ /pubmed/37465237 http://dx.doi.org/10.1002/hsr2.1341 Text en © 2023 The Authors. Health Science Reports published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Original Research Lin, Feng Huang, Yi He, Xu Liu, Zhong Research on the socioeconomic factors that influence the development of voluntary, non‐remunerated blood donation in China—A correlation and regression analysis based on data from 2012 to 2018 |
title | Research on the socioeconomic factors that influence the development of voluntary, non‐remunerated blood donation in China—A correlation and regression analysis based on data from 2012 to 2018 |
title_full | Research on the socioeconomic factors that influence the development of voluntary, non‐remunerated blood donation in China—A correlation and regression analysis based on data from 2012 to 2018 |
title_fullStr | Research on the socioeconomic factors that influence the development of voluntary, non‐remunerated blood donation in China—A correlation and regression analysis based on data from 2012 to 2018 |
title_full_unstemmed | Research on the socioeconomic factors that influence the development of voluntary, non‐remunerated blood donation in China—A correlation and regression analysis based on data from 2012 to 2018 |
title_short | Research on the socioeconomic factors that influence the development of voluntary, non‐remunerated blood donation in China—A correlation and regression analysis based on data from 2012 to 2018 |
title_sort | research on the socioeconomic factors that influence the development of voluntary, non‐remunerated blood donation in china—a correlation and regression analysis based on data from 2012 to 2018 |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10350559/ https://www.ncbi.nlm.nih.gov/pubmed/37465237 http://dx.doi.org/10.1002/hsr2.1341 |
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