Chronic Obstructive Pulmonary Disease Mortality by Industry and Occupation - United States, 2020.

Chronic obstructive pulmonary disease (COPD), a progressive lung disease, is characterized by long-term respiratory symptoms and airflow limitation (1). COPD accounts for most of the deaths from chronic lower respiratory diseases, the sixth leading cause of death in the United States in 2020.* Workplace exposures and tobacco smoking are risk factors for COPD; however, one in four workers with COPD have never smoked (2-4). To describe COPD mortality among U.S. residents aged ≥15 years categorized as ever-employed (i.e., with information on their usual industry and occupation), CDC analyzed the most recent 2020 multiple cause-of-death data† from 46 states and New York City.§ Among 3,077,127 decedents, 316,023 (10.3%) had COPD¶ listed on the death certificate. The highest age-adjusted** COPD death rates per 100,000 ever-employed persons were for females (101.3), White persons (116.9), and non-Hispanic or Latino (non-Hispanic) persons (115.8). The highest proportionate mortality ratios (PMRs)†† were for workers employed in the mining industry (1.3) and in food preparation and serving related occupations (1.3). Elevated COPD mortality among workers in certain industries and occupations underscores the importance of targeted interventions (e.g., reduction or elimination of COPD-associated risk factors, engineering controls, and workplace smoke-free policies) to prevent COPD from developing and to intervene before illness becomes symptomatic or severe.

Sex Differences in COVID-19 Deaths, by Industry and Occupation, 2021.

INTRODUCTION: The COVID-19 pandemic has disproportionately impacted workers in certain industries and occupations. The infection risk for SARS-CoV-2 and future respiratory viruses in the workplace is a significant concern for workers, employers, and policymakers. This study describes the differences in COVID-19 mortality by sex and industry/occupation among working-age U.S. residents in 49 states and New York City. METHODS: The 2021 National Vital Statistics System public use multiple-cause-of-death data for U.S. decedents aged 15-64 years (working age) with information on usual industry and occupation were analyzed in 2022. Age-standardized COVID-19 death rates for selected demographic characteristics and adjusted proportional mortality ratios were estimated by sex and usual industry and occupation. RESULTS: In 2021, 133,596 (14.3%) U.S. decedents aged 15-64 years had COVID-19 listed as the underlying cause of death; the highest COVID-19 death rate was among persons aged 55-64 years (172.4 of 100,000 population) and males (65.5 of 100,000 population). Among males and females, American Indian or Alaskan Native and Black or African American, respectively, had the highest death rates. Hispanic males had higher age-adjusted death rates than Hispanic females. Working-age male decedents in the public administration (proportional mortality ratio=1.39) and management of companies and enterprises industries (proportional mortality ratio=1.39) and community and social services occupations (proportional mortality ratio=1.68) and female decedents in the utilities industry (proportional mortality ratio=1.20) and protective services occupation (proportional mortality ratio=1.18) had the highest proportional mortality ratios. CONCLUSIONS: COVID-19 death rates and proportional mortality ratios varied by sex, industry, and occupation groups. These findings underscore the importance of workplace public health interventions, which could protect workers and their communities.

Development of an Asthma-Specific Job Exposure Matrix for Use in the United States.

INTRODUCTION: Existing asthma-specific job-exposure matrices (JEMs) do not necessarily reflect current working conditions in the USA and do not directly function with occupational coding systems commonly used in the USA. We initiated a project to modify an existing JEM to address these limitations, and to apply the new JEM to the entire US employed population to estimate quantitatively the extent of probable work-related asthma exposures nationwide. METHODS: We started with an asthma-specific JEM that was developed for northern Europe (the N-JEM) and modified it to function with the 2010 US Standard Occupational Classification (SOC-2010) codes and to reflect working conditions in the USA during the post-2000 period. This involved cross walking from the 1988 International Standard Classification of Occupations (ISCO-88) codes used in the N-JEM to the SOC-2010 codes, transferring the N-JEM exposure assignments to the SOC-2010 codes, and modifying those assignments to reflect working conditions in the USA. The new US asthma JEM (USA-JEM) assigns exposures to 19 agents organized into five categories. The USA-JEM and N-JEM were applied to the same sample of working adults with asthma to compare how they performed, and the USA-JEM was also applied to the entire 2015 US working population to estimate the extent of occupational asthma exposures nationally. RESULTS: The USA-JEM assigns at least one asthma-related probable exposure to 47.5% and at least one possible exposure to 14.9% of the 840 SOC-2010 detailed occupations, and 9.0% of the occupations have both probable exposure to at least one agent and possible exposure to at least one other agent. The USA-JEM has greater sensitivity for cleaning products, highly reactive disinfectants and sterilants, and irritant peak exposures than the N-JEM. When applied to the entire 2015 US working population, the USA-JEM determined that 42.6% of workers had probable exposure to at least one type of occupational asthma agent. DISCUSSION: A new asthma-specific JEM for application in the USA was developed. Additional work is needed to compare its performance to similar JEMs and, if possible, to exposure assessments generated on a case-by-case basis.

Atmospheric particulate matter size distribution and concentration in West Virginia coal mining and non-mining areas.

People who live in Appalachian areas where coal mining is prominent have increased health problems compared with people in non-mining areas of Appalachia. Coal mines and related mining activities result in the production of atmospheric particulate matter (PM) that is associated with human health effects. There is a gap in research regarding particle size concentration and distribution to determine respiratory dose around coal mining and non-mining areas. Mass- and number-based size distributions were determined with an Aerodynamic Particle Size and Scanning Mobility Particle Sizer to calculate lung deposition around mining and non-mining areas of West Virginia. Particle number concentrations and deposited lung dose were significantly greater around mining areas compared with non-mining areas, demonstrating elevated risks to humans. The greater dose was correlated with elevated disease rates in the West Virginia mining areas. Number concentrations in the mining areas were comparable to a previously documented urban area where number concentration was associated with respiratory and cardiovascular disease.