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利用残疾调整生命年和健康风险评估评估伊朗西南部的氟暴露:一种新的蒙特卡罗模拟。

Evaluation of fluoride exposure using disability-adjusted life years and health risk assessment in south-western Iran: A novel Monte Carlo simulation.

机构信息

Department of Water Engineering, Shiraz University, Shiraz, Iran.

出版信息

Ecotoxicol Environ Saf. 2024 Sep 1;282:116705. doi: 10.1016/j.ecoenv.2024.116705. Epub 2024 Jul 13.

Abstract

Consumption of fluoride-contaminated water is a worldwide concern, especially in developing countries, including Iran. However, there are restricted studies of non-single-value health risk assessment and the disease burden regarding fluoride intake nationwide. Prolonged exposure to excessive fluoride has been linked to adverse health effects such as dental and skeletal fluorosis. This can lead to under-mineralization of hard tissues, causing aesthetic concerns for teeth and changes in bone structure, increasing the risk of fractures. As such, we aimed to implement probability-based frameworks using Monte Carlo methods to explore the potential adverse effects of fluoride via the ingestion route. This platform consists of two sectors: 1) health risk assessment of various age categories coupled with a variance decomposition technique to measure the contributions of predictor variables in the outcome of the health risk model, and 2) implementing Monte Carlo methods in dose-response curves to explore the fluoride-induced burden of diseases of dental fluorosis and skeletal fractures in terms of disability-adjusted life years (DALYs). For this purpose, total water samples of 8053 (N=8053) from 57 sites were analyzed in Fars and Bushehr Provinces. The mean fluoride concentrations were 0.75 mg/L and 1.09 mg/L, with maximum fluoride contents of 6.5 mg/L and 3.22 mg/L for the Fars and Bushehr provinces, respectively. The hazard quotient of the 95th percentile (HQ>1) revealed that all infants and children in the study area were potentially vulnerable to over-receiving fluoride. Sobol' sensitivity analysis indices, including first-order, second-order, and total order, disclosed that fluoride concentration (Cw), ingestion rate (IRw), and their mutual interactions were the most influential factors in the health risk model. DALYs rate of dental fluorosis was as high as 981.45 (uncertainty interval: UI 95 % 353.23-1618.40) in Lamerd, and maximum DALYs of skeletal fractures occurred in Mohr 71.61(49.75-92.71), in Fars Province, indicated severe dental fluorosis but mild hazard regarding fractures. Residents of the Tang-e Eram in Bushehr Province with a DALYs rate of 3609.40 (1296.68-5993.73) for dental fluorosis and a DALYs rate of 284.67 (199.11-367.99) for skeletal fractures were the most potentially endangered population. By evaluating the outputs of the DALYs model, the gap in scenarios of central tendency exposure and reasonable maximum exposure highlights the role of food source intake in over-receiving fluoride. This research insists on implementing defluoridation programs in fluoride-endemic zones to combat the undesirable effects of fluoride. The global measures presented in this research aim to address the root causes of contamination and help policymakers and authorities mitigate fluoride's harmful impacts on the environment and public health.

摘要

消费受氟污染的水是一个全球性的问题,尤其是在包括伊朗在内的发展中国家。然而,全国范围内针对氟化物摄入的非单一值健康风险评估和疾病负担的研究有限。长期暴露于过量氟化物会导致牙齿和骨骼氟中毒等健康问题。这会导致硬组织矿化不足,从而对牙齿的美观和骨骼结构的变化产生影响,增加骨折的风险。因此,我们旨在使用蒙特卡罗方法实施基于概率的框架,以探索通过摄入途径摄入氟化物的潜在不良影响。该平台由两个部分组成:1)对不同年龄段进行健康风险评估,并结合方差分解技术,以衡量预测变量对健康风险模型结果的贡献;2)在剂量-反应曲线上实施蒙特卡罗方法,以探索氟化物引起的氟斑牙和骨骼骨折疾病负担的残疾调整生命年(DALY)。为此,在法尔斯省和布什尔省的 57 个地点对 8053 份(N=8053)水样进行了总分析。氟化物的平均浓度分别为 0.75mg/L 和 1.09mg/L,氟化物的最大含量分别为 6.5mg/L 和 3.22mg/L。95%分位数的危害商(HQ>1)表明,研究地区的所有婴儿和儿童都有可能过度摄入氟化物。Sobol'敏感性分析指数,包括一阶、二阶和总阶,揭示了氟化物浓度(Cw)、摄入率(IRw)及其相互作用是健康风险模型中最具影响力的因素。氟斑牙的 DALY 率高达 981.45(不确定性区间:95%UI 353.23-1618.40)在拉默德,骨骼骨折的最大 DALY 发生在莫尔 71.61(49.75-92.71),在法尔斯省,表明严重的氟斑牙但骨折的危害较小。布什尔省 Tang-e Eram 的居民氟斑牙的 DALY 率为 3609.40(1296.68-5993.73),骨骼骨折的 DALY 率为 284.67(199.11-367.99),是最容易受到威胁的人群。通过评估 DALY 模型的输出,中央趋势暴露和合理最大暴露情景之间的差距突出了食物来源摄入在过度摄入氟化物中的作用。本研究坚持在氟化物流行地区实施除氟计划,以对抗氟化物的不良影响。本研究提出的全球措施旨在解决污染的根本原因,并帮助政策制定者和当局减轻氟化物对环境和公共健康的有害影响。

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