目的 分析中国鼻咽癌的疾病负担及公平性,为科学防治提供依据.方法 利用2017年全球疾病负担数据,以省级行政区为单位,利用空间自相关分析鼻咽癌疾病负担的空间分布,利用斜率指数(slope index,SI)和集中指数(concentration index,CI)分析鼻咽癌疾病负担的公平性.结果 1990和2017年高-高聚集区主要集中在南方,低-低聚集区主要集中在北方,呈南高北低的分布特点.和1990年相比,2017年鼻咽癌的伤残调整寿命年(disability adjusted life year,DALY)总体下降11.20％、标化DALY率下降24.80％,但澳门、陕西和新疆等地上升.1990年DALY和标化DALY率的 SI 为-34.71、-6.00,CI 为-0.08、0.14;2017 年 DALY 和标化 DALY 率的 SI 为 9.74、12.46,CI 为0.07、0.04.结论 相比1990年,2017年中国鼻咽癌疾病负担有所下降,但各地分布不平衡,存在不平等现象,且仍有一些地区疾病负担上升,应重点关注高疾病负担聚集区和出现上升的地区,改善鼻咽癌疾病负担的不公平性.
Nasopharyngeal cancer disease burden and equity study in China in 1990 and 2017
Objective To analyze the disease burden and equity of nasopharyngeal carcinoma(NPC)in China and provide a scientific basis for prevention and treatment.Methods Using the 2017 Global Burden of Disease Study,the spatial distribution of the disease burden of NPC was analyzed using spatial autocorrelation in province-level division units,and the equity of the disease burden of NPC was analyzed by slope index(SI)and concentration index(CI).Results In 1990 and 2017,the high-high concentration areas were mainly in the south,while the low-low concentration areas were mainly in the north,showing the distribution characteristics of high disease burden in the south and low disease burden in the north.Compared to 1990,the disability adjusted life year(DALY)of NPC decreased by 11.20％overall,and standardized DALY rate decreased by 24.80％in 2017.However,the disease burden of NPC has increased in several regions such as Macau,Shaanxi and Xinjiang.In 1990,the SI of DALY and standardized DALY rate were-34.71 and-6.00,respectively.The CI were-0.08 and 0.14.In 2017,the SI were 9.74 and 12.46,and the CI were 0.07 and 0.04.Conclusions Compared to 1990,the disease burden of NPC in China has decreased in 2017.However,there is a significant imbalance in its distribution,and there are health inequalities.In some regions,the disease burden has actually increased.Therefore,it is crucial to prioritize areas with high disease burden and those experiencing a rise in disease burden.This will help address the unfairness associated with the disease burden of NPC.
NETL
NSTL
万方数据
