Department of Environmental Health Engineering, Neyshabur University of Medical Sciences, Neyshabur, Iran.
Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Environ Sci Pollut Res Int. 2021 Apr;28(14):17802-17811. doi: 10.1007/s11356-020-11761-5. Epub 2021 Jan 5.
Given the growing global trend of multiple sclerosis (MS), this study was designed to evaluate environmental determinates of the worldwide distribution of MS in the presence of socioeconomic and geographic indices. MS data was obtained from the Institute for Health Metrics and Evaluation website. The air pollution parameters, including particles with aerodynamic diameter less than 2.5 μm (PM), tropospheric ozone, and solid fuel use, were acquired from global burden of disease resources and the World Health Organization. Ultraviolet index (UVI) values were obtained from the Tropospheric Emission Monitoring Internet Service website. Correlation and linear regression analyses were used to investigate the relationship between air pollution and environmental parameters with MS variables. The average prevalence and incidence rates in countries with high UVI were 5.17 and 0.25 per 100,000, respectively, and in countries with low UVI were 101.37 and 0.78, respectively. The results showed negative associations between prevalence, incidence and mortality of MS with ozone concentrations (β = - 1.04, - 0.04, and - 0.01 respectively; P < 0.01). Also, the fully adjusted model showed significant negative correlation of UVI with the MS variables in the presence of other variables (P < 0.01). Our findings demonstrated that UVI had the strongest significant inverse association with MS distribution. Consequently, vitamin D intake may be a major contributor to MS development. However, this study showed a slight influence of air pollution on the prevalence of MS in the presence of other parameters. Given the inconsistent results of previous studies, further studies may be required.
鉴于多发性硬化症(MS)在全球范围内的发病率不断上升,本研究旨在评估在社会经济和地理指数存在的情况下,MS 在全球分布的环境决定因素。MS 数据来自健康指标与评估研究所的网站。空气污染参数,包括空气动力学直径小于 2.5μm 的颗粒(PM)、对流层臭氧和固体燃料使用情况,从全球疾病负担资源和世界卫生组织获得。紫外线指数(UVI)值从对流层排放监测互联网服务网站获得。采用相关和线性回归分析来研究空气污染和环境参数与 MS 变量之间的关系。高 UVI 国家的平均患病率和发病率分别为每 10 万人 5.17 和 0.25,低 UVI 国家的平均患病率和发病率分别为 101.37 和 0.78。结果表明,臭氧浓度与 MS 的患病率、发病率和死亡率呈负相关(β=-1.04、-0.04 和-0.01;P<0.01)。此外,在存在其他变量的情况下,完全调整模型显示 UVI 与 MS 变量之间存在显著负相关(P<0.01)。我们的研究结果表明,UVI 与 MS 分布之间存在最强的显著反比关系。因此,维生素 D 的摄入可能是 MS 发病的主要因素。然而,本研究表明,在存在其他参数的情况下,空气污染对 MS 患病率的影响较小。鉴于之前研究结果的不一致性,可能需要进一步研究。