社会经济因素对癌症存活率的影响

Rajabali Daroudi, Nasrin Sargazi, Arya Sakhidel-Hovasin, M. Sheikhy-Chaman
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摘要

背景:社会经济地位作为健康状况的主要决定因素对癌症存活率有相当大的影响。本研究旨在调查社会经济因素对56个国家最常见癌症类型5年生存率的影响。方法:在本生态研究中,分别从CONCORD-2研究和世界银行数据库中提取2005-2009年胃癌、结肠癌、肺癌、乳腺癌、宫颈癌、卵巢癌、前列腺癌和白血病的5年生存数据以及国内生产总值(GDP)、预期寿命、识字率、城市化和医疗保健支出等社会经济因素。采用多变量回归分析,利用Stata 14软件,采用普通最小二乘(OLS)方法对模型进行估计。结果:乳腺癌、宫颈癌和白血病的GDP系数均为显著正相关。胃癌、结肠癌、肺癌、卵巢癌和前列腺癌与GDP没有相关性。胃癌、结肠癌、乳腺癌、前列腺癌与预期寿命呈显著正相关,肺癌、宫颈癌、卵巢癌、白血病与预期寿命无显著相关。癌症存活率与识字率或城市化之间没有相关性。前列腺癌与医疗支出之间只有正相关。此外,胃癌和卵巢癌与社会经济变量之间没有统计学上的显著关系。最后,GDP和预期寿命对癌症存活率的影响最为显著。结论:不同国家可以通过实施改善经济和社会因素的政策,在提高癌症生存率方面发挥关键作用。
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The Impact of Socioeconomic Factors on Cancer Survival Rate
Background: The socioeconomic status as a major determinant of health status has a considerable impact on the cancer survival rate. The present study aimed to investigate the impact of socioeconomic factors on the 5-year survival rate for the most common cancer types in 56 countries. Methods: In this ecological study, 5-year survival data for gastric cancer, colon cancer, lung cancer, breast cancer, cervical cancer, ovarian cancer, prostate cancer, and leukemia during the period of 2005-2009 and socioeconomic factors including gross domestic product (GDP), life expectancy, literacy rate, urbanization and healthcare expenditure were extracted from the CONCORD-2 study and the World Bank database, respectively. Multivariable regression analysis was used to estimate the model with the ordinary least-squares (OLS) method using Stata 14 software. Results: The GDP coefficient for breast cancer, cervical cancer, and leukemia was positive and significant. No correlation was identified between gastric, colon, lung, ovarian, and prostate cancers with GDP. Gastric, colon, breast, and prostate cancers had a positive and significant correlation with life expectancy, while no significant correlation was found between lung cancer, cervical cancer, ovarian cancer, and leukemia with life expectancy. There was no correlation between cancer survival rate and literacy rate, or urbanization. There was only a positive correlation between prostate cancer with healthcare expenditure. Furthermore, there was no statistically significant relationship between gastric and ovarian cancers with socioeconomic variables. Finally, GDP and life expectancy had the most significant impact on cancer survival rates. Conclusion: Different countries can play a key role in increasing cancer survival rates by implementing policies to improve economic and social factors.
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