Child Health Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia.
School of Public Health and Social Work, Faculty of Health, Queensland University of Technology, Brisbane, QLD, Australia.
BMC Public Health. 2018 Jun 11;18(1):721. doi: 10.1186/s12889-018-5505-7.
Evidence of the association of coal mining with health outcomes such as increased mortality and morbidity in the general population has been provided by epidemiological studies in the last 25 years. Given the diverse sources of data included to investigate different health outcomes in the exposed populations, the International Classification of Diseases (ICD) can be used as a single classification standard to compare the findings of studies conducted in different socioeconomic and geographic contexts. The ICD classifies diagnoses of diseases and other disorders as codes organized by categories and chapters.
Identify the ICD codes found in studies of morbidity and/or mortality in populations resident or in proximity of coal mining and assess the methods of these studies conducting a systematic review.
A systematic database search of PubMed, EMBASE and Scopus following the PRISMA protocol was conducted to assess epidemiological studies from 1990 to 2016. The health outcomes were mapped to ICD codes and classified by studies of morbidity and/or mortality, and the categories and chapters of the ICD.
Twenty-eight epidemiological studies with ecological design from the USA, Europe and China were included. The exposed populations had increased risk of mortality and/or morbidity by 78 ICD diagnosis categories and 9 groups of ICD categories in 10 chapters of the ICD: Neoplasms, diseases of the circulatory, respiratory and genitourinary systems, metabolic diseases, diseases of the eye and the skin, perinatal conditions, congenital and chromosomal abnormalities, and external causes of morbidity. Exposed populations had non-increased risk of 9 ICD diagnosis categories of diseases of the genitourinary system, and prostate cancer.
There is consistent evidence of the association of coal mining with a wide spectrum of diseases in populations resident or in proximity of the mining activities. The methods of the studies included in this review can be integrated with individual-level and longitudinal studies to provide further evidence of the exposure pathways linked to increased risk in the exposed populations.
在过去的 25 年中,流行病学研究为煤矿开采与一般人群死亡率和发病率增加等健康结果之间的关联提供了证据。鉴于纳入了不同来源的数据来调查暴露人群中的不同健康结果,国际疾病分类(ICD)可用作单一的分类标准来比较在不同社会经济和地理背景下进行的研究结果。ICD 按类别和章节对疾病和其他障碍的诊断进行分类。
确定研究居住在煤矿附近或处于煤矿附近的人群发病率和/或死亡率的研究中发现的 ICD 编码,并评估这些研究的方法,进行系统综述。
根据 PRISMA 方案,对 PubMed、EMBASE 和 Scopus 进行了系统的数据库搜索,以评估 1990 年至 2016 年的流行病学研究。将健康结果映射到 ICD 编码,并根据发病率和/或死亡率研究以及 ICD 的类别和章节对其进行分类。
纳入了来自美国、欧洲和中国的 28 项具有生态设计的流行病学研究。暴露人群的死亡率和/或发病率增加了 78 个 ICD 诊断类别和 ICD 10 章中的 9 组 ICD 类别:肿瘤、循环系统疾病、呼吸系统疾病和生殖泌尿系统疾病、代谢疾病、眼部和皮肤疾病、围产期疾病、先天性和染色体异常以及发病率的外部原因。暴露人群的生殖泌尿系统疾病和前列腺癌的 9 个 ICD 诊断类别无增加风险。
有一致的证据表明,煤矿开采与居住在采矿活动附近或附近的人群中广泛的疾病有关。本综述中纳入的研究方法可以与个体水平和纵向研究相结合,为暴露人群中与风险增加相关的暴露途径提供进一步的证据。