中国全科医学 ›› 2022, Vol. 25 ›› Issue (06): 735-741.DOI: 10.12114/j.issn.1007-9572.2021.02.084

所属专题: 肿瘤最新文章合集 女性健康最新文章合集

• 大数据与人群健康研究 • 上一篇    下一篇

2015—2019年广东省户籍妇女宫颈癌患病率时间和空间分布特征分析

徐碧霞, 林小丹, 姚卫光*   

  1. 510515 广东省广州市,南方医科大学卫生管理学院
  • 收稿日期:2021-06-08 修回日期:2021-10-09 出版日期:2022-02-20 发布日期:2022-01-25
  • 通讯作者: 姚卫光
  • 基金资助:
    广东省高校哲学社会科学重点实验室:公共卫生政策研究与评价资助项目(2015SWSYS0010);广州公共卫生服务体系建设研究基地资助项目(2021-2023);广州市哲学社科规划2021年度课题(2021GZYB10)

Spatiotemporal Analysis of Cervical Cancer Prevalence in Guangdong Province20152019

XU BixiaLIN XiaodanYAO Weiguang*   

  1. School of Health ManagementSouthern Medical UniversityGuangzhou 510515China

    *Corresponding authorYAO WeiguangProfessorMaster supervisorE-mail469342532@qq.com

  • Received:2021-06-08 Revised:2021-10-09 Published:2022-02-20 Online:2022-01-25

摘要: 背景宫颈癌是最常见的威胁女性健康的恶性肿瘤,因此,加强对宫颈癌流行趋势的动态监测和预警十分必要。目的探究2015—2019年广东省户籍妇女宫颈癌患病率时间和空间分布特征,为政府有关部门有针对性地开展宫颈癌防治工作提供参考依据。方法2021年5月,选取2015—2019年广东省及各地市户籍妇女(20~64周岁)宫颈癌患病率为研究资料进行分析。采用年均增长率进行描述性分析。运用ArcGIS 10.6软件进行空间可视化、空间自相关分析和Getis-Ord冷热点分析。结果2015—2019年广东省户籍妇女宫颈癌患病率由50.28/10万下降至49.84/10万,宫颈癌患病率年均增长率最高和最低的地市分别是梅州市(76.05%)与潮州市(-52.81%)。2019年户籍妇女宫颈癌患病率最高的是揭阳市(210.40/10万),其次是茂名市(127.34/10万)和阳江市(108.05/10万)。2018年各地市户籍妇女宫颈癌患病率存在全局空间相关性(全局Moran's I值=0.364,P<0.05),即呈现集聚分布特征。局部空间自相关性结果显示,2015—2019年广州市始终呈现低值-低值集聚的局部特征,而且具有低值-低值集聚局部特征的地市范围整体上有所扩大。揭阳市和潮州市在2015年、2018年、2019年均是广东省户籍妇女宫颈癌患病率的热点地区。结论2015—2019年广东省户籍妇女宫颈癌患病率有所下降,但2019年的宫颈癌患病率水平仍高于全国(43.3/10万);相对而言,珠江三角洲地区的户籍妇女宫颈癌患病率整体上低于粤东、粤西和粤北地区,宫颈癌患病率热点区域主要集中在粤东地区。

关键词: 宫颈肿瘤, 广东, 患病率, 地理信息系统, 空间自相关性, 流行病学研究

Abstract: Background

Cervical cancer is the most common cancer threatening women's health that calls for strengthened dynamic monitoring and early warning.

Objective

To perform a spatiotemporal analysis of cervical cancer prevalence in Guangdong from 2015 to 2019, providing a decision-making basis for relevant government departments to take targeted prevention and treatment measures for cervical cancer.

Methods

In May 2021, data of 5-year (2015—2019) cervical cancer prevalence in 20-64-year-old female Guangdongers living in Guangdong's 21 cities were collected for analysis at the provincial and municipal levels. Average annual growth rate for descriptive analysis. ArcGIS 10.6 was used for spatial visualization, spatial autocorrelation analysis and hot spot analysis (Getis-Ord Gi) .

Results

During 2015—2019, cervical cancer prevalence in Guangdong declined from 50.28/100 000 to 49.84/100 000. The highest average annual growth rate of cervical cancer prevalence was in Meizhou (76.05%), and the lowest was in Chaozhou (-52.81%). In 2019, Jieyang (210.40/100 000) was found to have the highest cervical cancer prevalence, followed by Maoming (127.34/100 000) and Yangjiang (108.05/100 000). In 2018, global spatial correlation (Global Moran's I value=0.364, P<0.05) appeared in the prevalence of cervical cancer in 21 cities in Guangdong, showing the characteristic of aggregated distribution. The results of local spatial autocorrelation indicated that Guangzhou consistently showed the local characteristics of "low-value to low-value agglomeration" from 2015 to 2019, with an expanded scope with the local characteristics overall. Jieyang and Chaozhou were cervical cancer "hot spots" in 2015, 2018 and 2019.

Conclusion

From 2015 to 2019, although Guangdong saw a decrease in cervical cancer prevalence on the whole, it had a higher cervical cancer prevalence in 2019 (43.3/100 000) than the national level. Comparatively speaking, the overall cervical cancer prevalence in Pearl River Delta region was lower than that of eastern, western and northern Guangdong. And cervical cancer "hot spots" were mainly in eastern Guangdong.

Key words: Uterine cervical neoplasms, Guangdong, Prevalence, Geographic information systems, Spatial autocorrelation, Epidemiologic studies

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