Little is known about the current health status of U.S. metal and nonmetal (MNM) miners in part because no health surveillance systems exist for this population. The National Institute for Occupational Safety and Health (NIOSH) is developing a program to characterize burden of disease among MNM miners. This report discusses current knowledge and potential data sources of MNM miner health. Recent national surveys were analyzed, and literature specific to MNM miner health status was reviewed. No robust estimates of disease prevalence were identified, and national surveys did not provide information specific to MNM miners. Because substantial gaps exist in the understanding of MNM miners’ current health status, NIOSH plans to develop a health surveillance program for this population to guide intervention efforts to reduce occupational and personal risks for chronic illness.

The year 2017 marked the 50th anniversary of NIOSH’s Respiratory Health Division (RHD). RHD began in 1967 as the Appalachian Laboratory for Occupational Respiratory Diseases (ALFORD), with a focus on coal workers’ pneumoconiosis. ALFORD became part of NIOSH in 1971 and added activities to address work-related respiratory disease more generally. Health hazard evaluations played an important role in understanding novel respiratory hazards such as nylon flock, diacetyl, and indium-tin oxide. Epidemiologic and laboratory studies addressed many respiratory hazards, including coal mine dust, silica, asbestos, cotton dust, beryllium, diesel exhaust, and dampness and mold. Surveillance activities tracked the burden of diseases and enhanced the quality of spirometry and chest radiography used to screen workers. RHD’s efforts to improve scientific understanding, inform strategies for prevention, and disseminate knowledge remain important now and for the future.

Although particulate matter (PM), nitrogen dioxide (NO 2 ) and carbon monoxide (CO) typically exist as part of a complex air pollution mixture, the evidence linking these pollutants to health effects is evaluated separately in the scientific and policy reviews of the National Ambient Air Quality Standards (NAAQS). The objective of this analysis was to use meta-regression methods to model effect estimates for several individual yet correlated NAAQS pollutants in an effort to identify factors that explain differences in the effect sizes across studies and across pollutants. We expected that our consideration of the evidence for several correlated pollutants in parallel could lead to insights regarding exposure to the pollutant mixture. We focused on studies of hospital admissions for congestive heart failure (CHF) and ischemic heart disease (IHD), which have played an important role in the evaluation of the scientific evidence communicated in the PM, NO 2 , and CO Integrated Science Assessments (ISAs). Of the studies evaluated, OPEN ACCESSAtmosphere 2011, 2 689 11 CHF studies and 21 IHD studies met our inclusion requirements. The size of the risk estimates was explained by factors related to the pollution mixture, study methods, and monitoring network characteristics. Our findings suggest that additional analyses focusing on understanding differences in effect sizes across geographic areas with different pollution mixtures and monitor network designs may improve our understanding of the independent and combined effects of correlated pollutants.

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