考虑到中国大陆的移民状况,宫癌发病率使用贝叶斯模型 - 基于2016年癌症登记数据的估计
Linlin Du1,2,3,4, Huixin Sun1,2,3,5, Liping Tang6
1Chinese Center for Endemic Disease Control, Harbin Medical University, Harbin, China.
International journal of cancer
|January 24, 2025
概括
准确的宫癌发病率在中国需要包括移民人口. 这项研究估计永久居民中有8,948例,改善了预防策略的癌症数据.
科学领域:
- 流行病学 流行病学
- 公共卫生 公共卫生
- 生物统计学 生物统计学
背景情况:
- 中国的癌症登记传统上排除了移民人口,导致低估了疾病负担.
- 准确的宫癌发病率数据对于有效的公共卫生干预和资源配置至关重要.
- 人口流动为传统的癌症登记方法带来了挑战.
研究的目的:
- 估计中国大陆永久居民的宫癌发病率,同时考虑移民人口.
- 为了比较永久居民和注册家庭人口之间的宫癌发病率.
- 为中国的宫癌预防和控制策略提供更准确的数据.
主要方法:
- 利用贝叶斯空间回归与集成嵌套拉普拉斯近似-随机部分微分方程方法.
- 结合了487个癌症登记 (2016年) 的数据,中国人口普查,中国移民动态调查和城市统计年鉴.
- 采用基于省际分布和年龄分层的权重方法,以适应移民人口.
主要成果:
- 在永久居民中,估计的原始宫癌发病率为17.4/100,000,年龄标准化发病率 (ASIR) 为17.2/100,000.
- 在贵州,江和天津的永久居民和注册人口之间观察到严重的发病率差异.
- 估计有8,948例宫癌病例,广东的病例显著增加,河南的病例显著减少.
结论:
- 考虑到移民人口,这大大提高了中国宫癌发病率估计的准确性.
- 调查结果突出了宫癌负担和移民影响的区域差异.
- 该研究提供了针对子宫癌预防和控制策略的重要证据,为全球移民背景提供了见解.
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