Lin Feng, Huang Yi, He Xu, Liu Zhong
Institute of Blood Transfusion Chinese Academy of Medical Science and Peking Union Medical College Chengdu China.
Health Sci Rep. 2023 Jul 16;6(7):e1341. doi: 10.1002/hsr2.1341. eCollection 2023 Jul.
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.
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.
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.
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.
先前的研究表明，收入和教育等社会经济因素与献血行为有关。本研究旨在利用一个大型献血记录数据库，调查影响献血行为的因素，为影响献血行为的因素提供进一步的实证证据和见解，并确定提高中国献血率的潜在策略。
本研究采用相关性分析和回归分析，调查社会经济因素对中国36个主要城市献血率的影响。该研究还使用K均值聚类算法，在人均水平上识别影响献血行为的社会经济因素。此外，该研究还对献血者年龄组与社会经济因素进行了相关性分析。经济和教育指标通过相关性分析确定。
在城市层面，总体经济产出和大学生人口与总献血次数呈正相关。然而，在人均水平上，这种线性关系消失了。通过应用K均值聚类算法，城市被分为若干亚组，线性关系重新出现。该研究还发现，大学生数量与18至34岁献血者之间存在线性关系。
城市特征和人口统计学以不同方式对献血率产生显著影响。鉴于城市之间的异质性，统一政策可能效果有限。需要针对特定城市集群和教育水平制定有针对性的干预措施，以促进献血行为，特别是在青年和学生中。对教育的投资以及针对献血的定向教育似乎特别有影响力。将社会和经济政策结合起来的综合方法可能最有效。
