4.2 Article

Asbestos standards: Impact of currently uncounted chrysotile asbestos fibers on lifetime lung cancer risk

期刊

AMERICAN JOURNAL OF INDUSTRIAL MEDICINE
卷 61, 期 5, 页码 383-390

出版社

WILEY
DOI: 10.1002/ajim.22836

关键词

asbestos; cohort studies; lung cancer; mortality study; occupational diseases

资金

  1. National Institute for Occupational Safety and Health [R03 OH010706]
  2. Centers for Disease Control and Prevention
  3. National Institute of Environmental Health Sciences [T32ES007018-30]

向作者/读者索取更多资源

BackgroundCurrent regulations require that asbestos fibers are collected and examined using a light microscope. This method fails to enumerate fibers that are too short or thin to reliably count using a light microscope under normal conditions. MethodsA cohort of 3054 workers employed at an asbestos textile plant was followed to ascertain causes of death. Exposure was almost entirely chrysotile. Fiber counts were quantified using light microscopy and electron microscopy. The g-formula was used to estimate impacts on lung cancer of policies defined in terms of fiber counts quantified using light and electron microscopy. ResultsGiven exposure at the current standard, the estimated lung cancer risk was 7.33%, comparable to the risk expected under a standard of 1fiber/mL counted using electron microscopy (7.30%). The lifetime risk of lung cancer under a standard of 0.1fiber/mL counted by electron microscopy was estimated to be 7.10%. ConclusionsWe identify policies defined in terms of electron microscopy-based asbestos exposure metrics that yield comparable, or lower, lung cancer mortality than that expected under the current standard.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.2
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Public, Environmental & Occupational Health

Amplification of Bias Due to Exposure Measurement Error

David B. Richardson, Alexander P. Keil, Stephen R. Cole

Summary: This study highlights that the net bias in an estimation of the association of interest may increase when adjusting for confounders in the presence of classical exposure measurement error.

AMERICAN JOURNAL OF EPIDEMIOLOGY (2022)

Article Public, Environmental & Occupational Health

Log-transformation of Independent Variables: Must We?

Giehae Choi, Jessie P. Buckley, Jordan R. Kuiper, Alexander P. Keil

Summary: Research suggests that the best overall model fit reflects the underlying outcome generating methods with the least bias when the skewness of exposure is not due to a biasing factor, while all estimates are biased if the skewness of exposure is a consequence of a biasing factor. Separating the shape of the exposure distribution from the decision to log-transform it may aid researchers in planning for analysis using biomarkers or other skewed independent variables.

EPIDEMIOLOGY (2022)

Letter Public, Environmental & Occupational Health

A WARNING ABOUT USING PREDICTED VALUES TO ESTIMATE DESCRIPTIVE MEASURES

Rachael K. Ross, Alexander P. Keil, Stephen R. Cole, Jessie K. Edwards, Jeffrey S. A. Stringer

AMERICAN JOURNAL OF EPIDEMIOLOGY (2023)

Article Public, Environmental & Occupational Health

How much have adverse occupational health outcomes among construction workers improved over time? Evidence from 25 years of medical screening

Knut Ringen, John Dement, Laura Welch, Patricia Quinn

Summary: This study used data from a medical screening program for older construction workers to examine the improvements in health outcomes over the past 60 years. The results showed that the adoption of occupational health protections has led to significant reductions in risks associated with diseases such as chronic obstructive pulmonary disease, pneumoconiosis, hearing impairment, and lung cancer mortality. The study also found that the greatest risk reductions occurred among workers first employed after 1970, and that the improvements in hearing impairment were the lowest.

AMERICAN JOURNAL OF INDUSTRIAL MEDICINE (2023)

Letter Environmental Sciences

Comment on A PermutationTest-Based Approach to Strengthening Inference on the Effects of Environmental Mixtures: Comparison between Single-Index Analytic Methods

Alexander P. Keil, Jessie P. Buckley, Katie M. O'Brien, Kelly K. Ferguson, Alexandra J. White

ENVIRONMENTAL HEALTH PERSPECTIVES (2023)

Article Public, Environmental & Occupational Health

Trends in fatal occupational injury rates among older workers before and after the Great Recession of 2008

Morgan Miller Richey, Yvonne Golightly, Stephen William Marshall, Wendy Novicoff, Alexander Keil, Maryalice Nocera, David B. Richardson

Summary: This study conducted in North Carolina found that older workers have a higher risk of fatal occupational injury. The research results showed that the rate of fatal occupational injury among older workers did not significantly decrease before and after the economic recession.

OCCUPATIONAL AND ENVIRONMENTAL MEDICINE (2023)

Article Biology

Identifying and estimating effects of sustained interventions under parallel trends assumptions

Audrey Renson, Michael G. Hudgens, Alexander P. Keil, Paul N. Zivich, Allison E. Aiello

Summary: This article examines sustained interventions in public health and medicine and proposes a method for evaluating population effects. The method is validated through simulation studies and applied to estimate the effect of a stay-at-home order on all-cause mortality during the COVID-19 pandemic.

BIOMETRICS (2023)

Article Public, Environmental & Occupational Health

Differential Employment Quality and Educational Inequities in Mental Health: A Causal Mediation Analysis

Kieran Blaikie, Jerzy Eisenberg-Guyot, Sarah B. B. Andrea, Shanise Owens, Anita Minh, Alexander P. P. Keil, Anjum Hajat

Summary: In the United States, there is an increasing inequity in mental distress between those with different levels of education. Employment quality, as a multidimensional construct, may play a mediating role in this inequity. However, no study has investigated the extent of this mediation and its variations across racial and gender groups in the United States.

EPIDEMIOLOGY (2023)

Article Public, Environmental & Occupational Health

Gestational organophosphate ester exposure and preschool attention-deficit/hyperactivity disorder in the Norwegian Mother, Father, and Child cohort study

Amber M. Hall, Amanda M. Ramos, Samantha SM. Drover, Giehae Choi, Alexander P. Keil, David B. Richardson, Chantel L. Martin, Andrew F. Olshan, Gro D. Villanger, Ted Reichborn-Kjennerud, Pal Zeiner, Kristin R. overgaard, Amrit K. Sakhi, Cathrine Thomsen, Heidi Aase, Stephanie M. Engel

Summary: This study found a modest increased odds of preschool ADHD with higher DnBP and BDCIPP exposure.

INTERNATIONAL JOURNAL OF HYGIENE AND ENVIRONMENTAL HEALTH (2023)

Article Multidisciplinary Sciences

Estimating the effect of anticipated depression treatment-related stigma on depression remission among people with noncommunicable diseases and depressive symptoms in Malawi

Josee M. Dussault, Chifundo Zimba, Harriet E. Akello, Melissa Stockton, Sherika N. Hill, Allison Aiello, Alexander W. Keil, Bradley Gaynes, Michael Udedi, Brian Pence

Summary: While research on mental health stigma in Malawi is lacking, studies in other contexts suggest that stigma is a barrier to mental health treatment and recovery. This study analyzed the role of treatment-related stigma in depression care in Malawi and found that high anticipated treatment stigma was associated with a lower probability of achieving depression remission at the 3-month mark.

PLOS ONE (2023)

Review Public, Environmental & Occupational Health

A Review and Synthesis of Multi-level Models for Causal Inference with Individual Level Exposures

Alexander P. Keil, Sabrina Zadrozny, Jessie K. Edwards

Summary: Multi-level models are used to model data using multiple levels of information. This review examines how multi-level models can be used for causal inference with individual level exposures. The review clarifies and synthesizes complex ideas in the literature and discusses how multi-level models can relax some identifying conditions of causal inference. However, there are gaps in the literature on causal inference with multi-level models, but some published approaches are provided for further guidance. Practical advice is given on when to use multi-level models for causal inference and how to go beyond interpreting their parameters.

CURRENT EPIDEMIOLOGY REPORTS (2023)

Article Public, Environmental & Occupational Health

Estimating Causal Effects of Interventions on Early-life Environmental Exposures Using Observational Data

Tyler J. S. Smith, Alexander P. Keil, Jessie P. Buckley

Summary: This review discusses how epidemiologic studies have used observational data to estimate the effects of potential interventions on early-life environmental exposures. The findings suggest a growing interest in estimating intervention effects on early-life environmental exposures, as they are directly related to possible public health actions. Future studies can link research questions to specific hypothetical interventions to build on existing work.

CURRENT ENVIRONMENTAL HEALTH REPORTS (2023)

Meeting Abstract Developmental Biology

Prenatal Consumer Product Chemical Mixtures and Size-for-Gestational Age at Birth

P. A. Bommarito, B. M. Welch, A. P. Keil, D. E. Cantonwine, T. F. Mcelrath, K. K. Ferguson

BIRTH DEFECTS RESEARCH (2022)

Article Environmental Sciences

Is maternal employment site a source of exposure misclassification in studies of environmental exposures and birth outcomes? A simulation-based bias analysis of haloacetic acids in tap water and hypospadias

Ibrahim Zaganjor, Alexander P. Keil, Thomas J. Luben, Tania A. Desrosiers, Lawrence S. Engel, Jennita Reefhuis, Adrian M. Michalski, Peter H. Langlois, Andrew F. Olshan

Summary: This study explored the potential for misclassification of residence-based environmental exposure as a result of not accounting for the workplace environments of employed pregnant women. Through simulations, it was found that household estimates may be sufficient proxies for worksite exposures to haloacetic acids in tap water.

ENVIRONMENTAL EPIDEMIOLOGY (2022)

Meeting Abstract Obstetrics & Gynecology

Phthalates and Preterm Birth - A Pooled Analysis of 16 US Cohorts

Barrett M. Welch, Alexander P. Keil, Jessie P. Buckley, Antonia M. Calafat, Kate E. Christenbury, Stephanie M. Engel, Katie M. O'Brien, M. Rosen Rosen, Kelly K. Ferugson

REPRODUCTIVE SCIENCES (2022)

暂无数据