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The Association of Premature Ovarian Failure (POF) and Air Pollution in Korea Based on Health Insurance Cohort Data

机译:基于健康保险队列数据的韩国卵巢早衰与空气污染的关联

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[Background] Recently prevalence of premature ovarian failure (POF) continues to increase in Korea and we found that Kwanwon province showed the highest POF prevalence among sixteen provinces. The purpose of this study is to find the hot spot areas among 234 administrative districts with significant variables associated with POF prevalence. [Methods] We used the customized cohort DB from 2004 to 2013 provided by National Health Insurance Corporation. The total number of women in DB was 556,467 and the number of POF patients was 4,870. We estimated the POF prevalence in each districts and hot spot analysis was done to find the POF clusters. And we also evaluated the association between POF prevalence and environmental factors including air pollution data from air monitoring data with drinking, smoking, obesity, stress, education, income, number of visits to clinics and hospitals from National Health Examination Survey data. [Results] Hot spot analysis showed highest areas including five districts in Kangwon and Gyeongsangbukdo provinces. And there were lowest areas, cold spot, including nine districts in Chungchung provinces. And only air pollution data including NO2, 0$3PM10 showed significantly associated with POF prevalence. We did the same analysis after excluding Kangwon province for reducing possibility of genetic effects of regional residents. OLS regression showed that NO2 and 03 were significantly associated with POF prevalence and there was no hot spot area after excluding Kangwon province. [Conclusion] The further study is needed to evaluate the association between POF prevalence and air pollution with distribution of POF related genes among residents in hot spot areas. [Acknowledgment] This work was supported by the Korea Ministry of Environment (MOE) as The Environmental Health Action Program (2016001360007).
机译:[背景]最近,韩国的卵巢早衰(POF)患病率持续上升,我们发现关原省在16个省中表现出最高的POF患病率。这项研究的目的是在234个行政区中发现热点地区,这些地区具有与POF患病率相关的显着变量。 [方法]我们使用了美国国家健康保险公司提供的2004年至2013年定制的队列数据库。 DB中的女性总数为556,467,POF患者的数量为4,870。我们估计了每个地区的POF患病率,并进行了热点分析以找到POF簇。我们还评估了POF患病率与环境因素之间的关联,包括空气监测数据中的空气污染数据与饮酒,吸烟,肥胖,压力,教育,收入,国家卫生检查调查数据中诊所和医院的就诊次数。 [结果]热点分析显示,江原道和庆尚北道道的五个地区最高。最低的地区是寒冷的地区,其中包括忠清省的九个地区。而且只有包括NO2、0 $ 3PM10在内的空气污染数据显示与POF患病率显着相关。在排除江原道省以减少区域居民遗传效应的可能性之后,我们进行了相同的分析。 OLS回归显示,NO2和03与POF发生率显着相关,并且在排除江原道省之后没有热点区域。 [结论]需要进一步研究以评估热点地区居民中POF流行与空气污染与POF相关基因的分布之间的关系。 [致谢]这项工作得到了韩国环境部(MOE)的“环境健康行动计划”(2016001360007)的支持。

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