Exposure to toxic occupations and their association with Parkinson’s disease: a systematic review with meta-analysis

医学 相对风险 科克伦图书馆 荟萃分析 置信区间 梅德林 系统回顾 职业暴露 内科学 环境卫生 政治学 法学
作者
Tamara Chambers-Richards,Yingying Su,Batholomew Chireh,Carl D’Arcy
出处
期刊:Reviews on environmental health [De Gruyter]
卷期号:38 (1): 65-83 被引量:11
标识
DOI:10.1515/reveh-2021-0111
摘要

Abstract Objectives Earlier longitudinal reviews on environmental and occupational toxins and Parkinson’s disease (PD) risk have limitations. This study aimed to determine the strength of association between three types of toxic occupational exposures and the occurrence of PD by diagnostic methods. Methods A search was conducted of EMBASE, PubMed/Medline, Toxnet, LILACS, and Cochrane Library databases for longitudinal studies that assessed toxic occupational exposure, Parkinsonian, or related disorders, diagnosed by International Classification of Diseases (ICD) codes, medical records, or confirmation by a neurologist/nurse, and published in the English language from January 1990 to July 2021. Pooled risk ratios (RR) estimates were produced using random-effects models. Systematic review with meta-analysis synthesized the results. Study quality, heterogeneity, and publication bias were examined. High-quality articles that met the inclusion criteria were analyzed. Results Twenty-four articles were used in the analyses. The pooled RR for electromagnetic exposure and PD were (RR=1.03, 95% confidence interval [CI] 0.91–1.16) while the pooled RR between PD and metal and pesticide exposure were (RR=1.07, 95% CI 0.92–1.24) and (RR=1.41, 95% CI 1.20–1.65), respectively. Pooled RR for methods of diagnosis and their associations with PD were: confirmation by a neurologist or nurse (RR=2.17, 95% CI 1.32–3.54); ICD codes (RR=1.14, 95% CI 1.03–1.26), and medical records (RR=1.06, 95% CI 0.92–1.21). Conclusions Our systematic review provides robust evidence that toxic occupational exposures are significant risk factors for PD especially those diagnosed by neurologists or nurses using standardized methods.
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