扎兰/克尔曼地区地下水氟化物含量及其与氟中毒患病率的关系分析(GIS)

Journal of Dental Biomaterial Pub Date : 2017-06-01
Malek Mohammadi T, Derakhshani R, Tavallaie M, Raoof M, Hasheminejad N, Haghdoost Aa
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引用次数: 0

摘要

问题说明:煤矿周围地区的水中氟化物浓度通常较高。伊朗东南部的扎兰德地区以其煤矿而闻名。一些研究表明氟中毒发病率高,一些研究报告该区域氟化物含量高。目的:利用地理信息系统(GIS)评价扎兰地区水体氟化物含量与氟中毒患病率及其空间分布的关系。材料与方法:本横断面研究旨在招募550名7-40岁的Zarand人。根据迪恩指数对氟中毒进行牙齿检查。水中的氟化物含量是在取自35个地区的水样中测定的。在地理信息系统上绘制了有关氟中毒和氟化物含量的信息。结果:调查对象多居住在农村(87.25%),高中学历(66%)。约23%的被调查者牙齿正常,10%有严重氟中毒,67%有轻度至中度氟中毒。根据GIS地图,严重氟中毒在水体中氟化物含量较高的地区分布较高。结论:地理信息系统地图清楚地显示,氟中毒的患病率和严重程度与扎兰水中的氟化物含量呈正相关。地理信息系统分析在分析其他口腔状况时可能有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Analysis of Ground Water Fluoride Content and its Association with Prevalence of Fluorosis in Zarand/Kerman: (Using GIS).

Analysis of Ground Water Fluoride Content and its Association with Prevalence of Fluorosis in Zarand/Kerman: (Using GIS).

Analysis of Ground Water Fluoride Content and its Association with Prevalence of Fluorosis in Zarand/Kerman: (Using GIS).

Analysis of Ground Water Fluoride Content and its Association with Prevalence of Fluorosis in Zarand/Kerman: (Using GIS).

Statement of problem: The concentration of fluoride in water is usually higher in areas around the coal mines. Zarand region in the south-east of Iran is known for its coal mines. Some studies have shown the high prevalence of fluorosis and some studies reported high levels of fluoride in the region.

Objectives: This study aimed to use Geographic Information System (GIS) to assess the relationship between water fluoride content and the prevalence of fluorosis and its spatial distribution in Zarand region.

Materials and methods: This cross-sectional study aimed to recruit 550 people aged 7-40 years in Zarand. Dental examination for fluorosis was conducted based on the Dean's Index. The level of fluoride in the water was determined in samples of water taken from 35 areas. Information on fluorosis and fluoride content was mapped on GIS.

Results: Most participants lived in rural areas (87.25%) and had an educational status of high school level (66%). About 23% of the examined people had normal teeth, 10% had severe and 67% had mild to moderate fluorosis. Distribution of severe fluorosis was higher in areas with higher levels of fluoride in the water according to GIS map.

Conclusions: GIS map clearly showed a positive relationship between the prevalence and severity of fluorosis with the level of fluoride in water in Zarand. The GIS analysis may be useful in the analysis of other oral conditions.

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