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泰国北部上游地区宫颈癌患者的时空分析

Spatial and Temporal Analyses of Cervical Cancer Patients in Upper Northern Thailand.

作者信息

Thongsak Natthapat, Chitapanarux Imjai, Suprasert Prapaporn, Prasitwattanaseree Sukon, Bunyatisai Walaithip, Sripan Patumrat, Traisathit Patrinee

机构信息

Department of Statistics, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand . Email:

出版信息

Asian Pac J Cancer Prev. 2016 Nov 1;17(11):5011-5017. doi: 10.22034/APJCP.2016.17.11.5011.

Abstract

Background: Cervical cancer is a major public health problem worldwide. There have been several studies indicating that risk is associated with geographic location and that the incidence of cervical cancer has changed over time. In Thailand, incidence rates have also been found to be different in each region. Methods: Participants were women living or having lived in upper Northern Thailand and subjected to cervical screening at Maharaj Nakorn Chiang Mai Hospital between January 2010 and December 2014. Generalized additive models with Loess smooth curve fitting were applied to estimate the risk of cervical cancer. For the spatial analysis, Google Maps were employed to find the geographical locations of the participants’ addresses. The Quantum Geographic Information System was used to make a map of cervical cancer risk. Two univariate smooths: x equal to the residency duration was used in the temporal analysis of residency duration, and x equal to the calendar year that participants moved to upper Northern Thailand or birth year for participants already living there, were used in the temporal analysis of the earliest year. The spatial-temporal analysis was conducted in the same way as the spatial analysis except that the data were split into overlapping calendar years. Results: In the spatial analysis, the risk of cervical cancer was shown to be highest in the Eastern sector of upper Northern Thailand (p-value <0.001). In the temporal analysis of residency duration, the risk was shown to be steadily increasing (p-value =0.008), and in the temporal analysis of the earliest year, the risk was observed to be steadily decreasing (p-value=0.016). In the spatial-temporal analysis, the risk was stably higher in Chiang Rai and Nan provinces compared to Chiang Mai province. According to the display movement over time, the odds of developing cervical cancer declined in all provinces. Conclusions: The risk of cervical cancer has decreased over time but, in some areas, there is a higher risk than in the major province of Chiang Mai. Therefore, we should promote cervical cancer screening coverage in all areas, especially where access is difficult and/or to women of lower socioeconomic status.

摘要

背景

宫颈癌是全球主要的公共卫生问题。已有多项研究表明,风险与地理位置有关,且宫颈癌的发病率随时间发生了变化。在泰国,各地区的发病率也存在差异。方法:研究对象为居住或曾居住在泰国北部上地区的女性,她们于2010年1月至2014年12月期间在清迈玛哈叻那空医院接受了宫颈癌筛查。采用带有Loess平滑曲线拟合的广义相加模型来估计宫颈癌风险。在空间分析中,利用谷歌地图查找参与者住址的地理位置。使用量子地理信息系统绘制宫颈癌风险地图。在居住时长的时间分析中,使用两个单变量平滑:x等于居住时长;在最早年份的时间分析中,x等于参与者迁至泰国北部上地区的年份或已居住在该地的参与者的出生年份。时空分析的方式与空间分析相同,只是数据按重叠的日历年进行划分。结果:在空间分析中,泰国北部上地区东部的宫颈癌风险最高(p值<0.001)。在居住时长的时间分析中,风险呈稳步上升趋势(p值=0.008),而在最早年份的时间分析中,风险呈稳步下降趋势(p值=0.016)。在时空分析中,与清迈省相比,清莱府和难府的风险一直较高。根据随时间的显示变化,所有省份患宫颈癌的几率均有所下降。结论:宫颈癌风险随时间有所降低,但在某些地区,风险高于主要省份清迈。因此,我们应在所有地区,尤其是难以获得筛查服务的地区和/或社会经济地位较低的女性中,推广宫颈癌筛查覆盖范围。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/369a/5454712/4b21df6126b1/APJCP-17-5011-g002.jpg

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