Spatial distribution and cluster analysis of risky sexual behaviours and STDs reported by Chinese adults in Guangzhou, China: a representative population-based study.
Spatial distribution and cluster analysis of risky sexual behaviours and STDs reported by Chinese adults in Guangzhou, China: a representative population-based study.
复制标题
DOI：
10.1136/sextrans-2015-052268
复制
发表时间：
2016-06
影响因子：
3.6
通讯作者：
Tucker JD
中科院分区：
文献类型：
--
作者：
Chen W;Zhou F;Hall BJ;Wang Y;Latkin C;Ling L;Tucker JD
旨在评估居住在中国广州的成年人的居住地点、危险性行为和性传播疾病 (STD) 之间的关联。数据采用空间流行病学方法分层随机抽样，从中国广州 751 名 18-59 岁的中国成年人中获得。进行面对面的家庭访谈，收集有关危险性行为和诊断性传播疾病的自我报告数据。库尔多夫的空间扫描统计用于识别和检测危险性行为和性传播疾病的空间分布和集群。使用 ArcGIS 软件绘制了研究区域中具有统计意义的聚类的存在和位置。自我报告的危险性行为发生率在5.1%至50.0%之间。自我报告诊断性传播疾病的终生患病率为 7.06%。肛交集中在城乡连续体边界沿线的区域（p=0.001）。性行为前使用酒精或其他药物的高比率集群（p=0.008）和在广州居住<1年的移民（p=0.007）与该集群重叠。无保护性行为的过多病例 (p=0.031) 与大学生群体重叠 (p<0.001)。在过去 12 个月内有过性经历的 9 名学生中，有 5 名 (55.6%) 属于无保护性行为组。短期移民和大学生报告了更高风险的性行为。广州有必要开展旨在提高这些社区内安全性行为以降低性传播疾病风险的计划。空间分析确定了危险性行为的地理集群，这对于未来优化这些地点的监测和针对性控制措施至关重要。
To assess associations between residences location, risky sexual behaviours and sexually transmitted diseases (STDs) among adults living in Guangzhou, China. Data were obtained from 751 Chinese adults aged 18–59 years in Guangzhou, China, using stratified random sampling by using spatial epidemiological methods. Face-to-face household interviews were conducted to collect self-report data on risky sexual behaviours and diagnosed STDs. Kulldorff’s spatial scan statistic was implemented to identify and detect spatial distribution and clusters of risky sexual behaviours and STDs. The presence and location of statistically significant clusters were mapped in the study areas using ArcGIS software. The prevalence of self-reported risky sexual behaviours was between 5.1% and 50.0%. The self-reported lifetime prevalence of diagnosed STDs was 7.06%. Anal intercourse clustered in an area located along the border within the rural–urban continuum (p=0.001). High rate clusters for alcohol or other drugs using before sex (p=0.008) and migrants who lived in Guangzhou <1 year (p=0.007) overlapped this cluster. Excess cases for unprotected sex (p=0.031) overlapped the cluster for college students (p<0.001). Five of nine (55.6%) students who had sexual experience during the last 12 months located in the cluster of unprotected sex. Short-term migrants and college students reported greater risky sexual behaviours. Programmes to increase safer sex within these communities to reduce the risk of STDs are warranted in Guangzhou. Spatial analysis identified geographical clusters of risky sexual behaviours, which is critical for optimising surveillance and targeting control measures for these locations in the future.