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中国癌症流行病学中医发病规律研究:以《黄帝内经》理论为指导 被引量:1

Traditional Chinese Medicine Research on Cancer Epidemiology in China Under the Guidance of the Theory of Huangdi Neijing
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摘要 目的:分析我国癌症发病率的空间分布差异,为癌症的中医理论研究提供数据支持。方法:根据《黄帝内经》相关理论对人体不同部位的癌症进行五行归类,将中国内地划分为东南西北中五方,采用克里金插值分析等统计学方法,对全国肿瘤登记中心(National central cancer registry of China,NCCR)所发布的2009-2013年间72个登记处的癌症发病数据进行分析研究。结果:5年间五方总发病率差异有统计学意义(F=8.561,P<0.01),经两两比较:东方最高,西方最低,南、中、北方居于中间水平;肝(指肝脏系统癌症,以下类同)发病率差异有统计学意义(F=11.181,P<0.01),两两比较:东、南方最高,西方最低,中、北方居于中间水平;心发病率差异无统计学意义(F=2.644,P=0.064);脾发病率差异有统计学意义(F=225.983,P<0.01),经两两比较:西、东方最高,其次是中方、北方,南方最低;肺发病率差异有统计学意义(F=41.585,P<0.01),经两两比较:南方最高,西方最低,北方、东方、中方居于中间水平;肾发病率差异有统计学意义(F=23.171,P<0.01),经两两比较:北方最高,西方最低,南、东、中方居于中间水平。结论:五脏癌症在五方的发病率存在差异,结合阴阳五行学说及形气、运气学说,联系我国的气候变化特点,得出癌症的行气败乱病机假说:人体脏腑虚弱,长期收受四时不正之气,造成机体阴阳不和,五脏功能失调,五行生克制化失衡,行(形)气败乱,最终导致癌症发生。 Objective:To analyze the spatial distribution differences of the cancer incidence in China and to provide data support for the study of Chinese medicine theory of cancer.Methods:According to the relevant theory in Huangdi Neijing,the cancers in different parts of the human body were classified into five groups,and the China's mainland was divided into five parts of east,west,north,south and center.The data of cancer incidence in 72 registries by the National Central Cancer Registry of China(NCCR)from 2009 to 2013 were analyzed by statistical methods such as Kriging method.Results:There was statistically significant difference in the total incidence rate among the five regions during the five-year period(F=8.561,P<0.01);pairwise comparison showed that the cancer incidence in east was the highest,in west was the lowest,and in south,center and north were located at the intermediate level.There was statistically significant difference in the cancer incidence of liver(liver system cancers,the rest were the same)(F=11.181,P<0.01);pairwise comparison showed that the cancer incidence in east and south were the highest,in west was the lowest,and in center and north were lcated at the intermediate level.There was not statistically significant difference in the cancer incidence of heart(F=2.644,P=0.064).There was statistically significant difference in the cancer incidence of spleen(F=225.983,P<0.01);pairwise comparison showed that the cancer incidence in west and east were the highest,followed by the center,the north,and in south was the lowest.There was statistically significant difference in the cancer incidence of lung(F=41.585,P<0.01);pairwise comparison showed that the cancer incidence in south was the highest,in west was the lowest,and in center,in east and in north were located at the intermediate level.There was statistically significant difference in the cancer incidence of kidney(F=23.171,P<0.01);pairwise comparison showed that the cancer incidence in north was the highest,in west was the lowest,and in center,south and east were located at the intermediate level.Conclusion:There are differences in the incidence of the five internal organs system cancers in five parts,combined with the theory of Yin-Yang and five elements,the theory of five movements and six climates,and the characteristics of climate change in our country.Based on this,the new hypothesis of the pathogenesis of cancer in traditional Chinese medicine is proposed:On the basis of the weak function of the body’s viscera,body absorb the abnormal Qi in four seasons for a long time,resulting in the imbalance of Yin and Yang in the body,the dysfunction of the five zang system,the imbalance of the five elements,and ultimately leads to the“Xing-Qi disorder”.
作者 赵以馨 闫朝光 林艳艳 蔡新生 张新宇 范风亮 Zhao Yixin;Yan Chaoguang;Lin Yanyan;Cai Xinsheng;Zhang Xinyu;Fan Fengliang(Shandong University of Traditional Chinese Medicine,Jinan 250013,China;Department of Oncology,Weifang Traditional Chinese Medicine Hospital,Weifang 261041,China;Guangzhou University of Chinese Medicine,Guangzhou 510006,China)
出处 《亚太传统医药》 2025年第7期125-130,共6页 Asia-Pacific Traditional Medicine
基金 山东省中医药科技项目(Z-2023064)。
关键词 癌症 《黄帝内经》 大数据 发病率 流行病学 差异分析 Cancer Huangdi Neijing Big Data Incidence Epidemiology Differential Analysis
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