Last data update: Dec 09, 2024. (Total: 48320 publications since 2009)
Records 1-3 (of 3 Records) |
Query Trace: Kurth LM[original query] |
---|
Sex differences in COVID-19 deaths in the by industry and occupation, 2021
Syamlal G , Kurth LM , Blackley DJ , Dodd KE , Mazurek JM . Am J Prev Med 2023 INTRODUCTION: The Coronavirus Disease 2019 (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. The current 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 (NVSS) 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 (PMRs) were estimated by sex and by 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 (172.4/100,000 population) and males (65.5/100,000 population). Among males, American Indian or Alaskan Native and among females, Black or African American had the highest death rates. Hispanic males had higher age-adjusted death rates than Hispanic females. Working-age male decedents in the public administration (PMR=1.39) and management of companies & enterprises industries (PMR=1.39) and community and social services occupations (PMR=1.68) and female decedents in the utilities industry (PMR=1.20) and protective services occupation (PMR=1.18) had the highest PMRs. CONCLUSIONS: COVID-19 death rates and PMRs varied by sex, industry, and occupation groups. These findings underscore the importance of workplace public health interventions, which could protect workers and their communities. |
Chronic obstructive pulmonary disease mortality by industry and occupation - United States, 2020
Syamlal G , Kurth LM , Dodd KE , Blackley DJ , Hall NB , Mazurek JM . MMWR Morb Mortal Wkly Rep 2022 71 (49) 1550-1554 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. |
Development of an asthma-specific job exposure matrix for use in the United States
Henneberger PK , Kurth LM , Doney B , Liang X , Andersson E . Ann Work Expo Health 2019 64 (1) 82-95 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. |
- Page last reviewed:Feb 1, 2024
- Page last updated:Dec 09, 2024
- Content source:
- Powered by CDC PHGKB Infrastructure