Literature DB >> 15828074

Comparison of asbestos exposure assessments by next-of-kin respondents, by an occupational hygienist, and by a job-exposure matrix from the National Occupational Hazard Survey.

Jun-mo Nam1, Carol Rice, Mitchell H Gail.   

Abstract

BACKGROUND: Assessments of occupational exposures in case-control studies of rapidly fatal illnesses often rely on data from next-of-kin respondents, which may be inaccurate.
METHODS: Three methods for assessing exposure to asbestos from case-control data on mesothelioma, including next-of-kin assessment, expert assessment, and use of a generic job-exposure matrix (JEM). Interview data [Spirtas et al. (1994): Occup Environ Med 51:804-811] were reviewed to determine exposure status by an occupational hygienist (C.R.) who was unaware of disease status. Exposure odds ratios were calculated using standard methods, and measures of agreement included the kappa statistic and conditional and marginal odds ratios.
RESULTS: Expert assessment detected higher proportions of exposed subjects than the next-of-kin respondents or JEM methods. The disease-exposure odds ratios were highest for respondents, perhaps because of recall bias, and lowest for the JEM method. The agreement was highest between the respondent and expert assessments. A combination of respondent's assessment and JEM assessment led to the best prediction of the expert's assessment. Results for spouse respondents were similar to those for other "next-of-kin" respondents.
CONCLUSIONS: Expert assessments were the most plausible, but the data indicate that disease associations could also be detected with the other exposure assessment methods. Using some combination of the proxy respondent's assessment and the JEM assessment, one can predict the expert's assessment. A strategy that relied on the respondent's assessment when it was positive and otherwise obtained an expert assessment could reduce costs with little error, compared to expert assessment on all subjects. Published 2005 Wiley-Liss, Inc.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 15828074     DOI: 10.1002/ajim.20168

Source DB:  PubMed          Journal:  Am J Ind Med        ISSN: 0271-3586            Impact factor:   2.214


  9 in total

1.  Estimation and inference for case-control studies with multiple non-gold standard exposure assessments: with an occupational health application.

Authors:  Haitao Chu; Stephen R Cole; Ying Wei; Joseph G Ibrahim
Journal:  Biostatistics       Date:  2009-06-09       Impact factor: 5.899

Review 2.  Use and Reliability of Exposure Assessment Methods in Occupational Case-Control Studies in the General Population: Past, Present, and Future.

Authors:  Calvin B Ge; Melissa C Friesen; Hans Kromhout; Susan Peters; Nathaniel Rothman; Qing Lan; Roel Vermeulen
Journal:  Ann Work Expo Health       Date:  2018-11-12       Impact factor: 2.179

3.  Comparison of algorithm-based estimates of occupational diesel exhaust exposure to those of multiple independent raters in a population-based case-control study.

Authors:  Melissa C Friesen; Anjoeka Pronk; David C Wheeler; Yu-Cheng Chen; Sarah J Locke; Dennis D Zaebst; Molly Schwenn; Alison Johnson; Richard Waddell; Dalsu Baris; Joanne S Colt; Debra T Silverman; Patricia A Stewart; Hormuzd A Katki
Journal:  Ann Occup Hyg       Date:  2012-11-25

4.  Completeness and utility of interview data from proxy respondents in prenatal care research in rural China.

Authors:  Bright I Nwaru; Reija Klemetti; Shen Yuan; Huang Kun; Yang Wang; Elina Hemminki
Journal:  Matern Child Health J       Date:  2012-05

5.  Comparison of occupational exposure assessment methods in a case-control study of lead, genetic susceptibility and risk of adult brain tumours.

Authors:  Parveen Bhatti; Patricia A Stewart; Martha S Linet; Aaron Blair; Peter D Inskip; Preetha Rajaraman
Journal:  Occup Environ Med       Date:  2010-08-25       Impact factor: 4.402

6.  Comparison of two expert-based assessments of diesel exhaust exposure in a case-control study: programmable decision rules versus expert review of individual jobs.

Authors:  Anjoeka Pronk; Patricia A Stewart; Joseph B Coble; Hormuzd A Katki; David C Wheeler; Joanne S Colt; Dalsu Baris; Molly Schwenn; Margaret R Karagas; Alison Johnson; Richard Waddell; Castine Verrill; Sai Cherala; Debra T Silverman; Melissa C Friesen
Journal:  Occup Environ Med       Date:  2012-07-27       Impact factor: 4.402

7.  A Bayesian approach to strengthen inference for case-control studies with multiple error-prone exposure assessments.

Authors:  Jing Zhang; Stephen R Cole; David B Richardson; Haitao Chu
Journal:  Stat Med       Date:  2013-05-10       Impact factor: 2.373

8.  Reliability of Family Proxy Data for Studies of Malignant Mesothelioma: Results from the ATSDR Pilot Surveillance.

Authors:  Natalia Melnikova; Jennifer Wu; Wendy Kaye; Maureen Orr
Journal:  ISRN Oncol       Date:  2013-03-28

9.  Modelling prevalence and incidence of fibrosis and pleural plaques in asbestos-exposed populations for screening and follow-up: a cross-sectional study.

Authors:  Christophe Paris; Aurélie Martin; Marc Letourneux; Pascal Wild
Journal:  Environ Health       Date:  2008-06-20       Impact factor: 5.984

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.