Literature DB >> 1992679

Use of "time windows" to investigate lung cancer latency intervals at an Ontario steel plant.

M M Finkelstein1.   

Abstract

This paper describes an application of the time windows method to an examination of the temporal pattern of lung cancer risk among steel workers. Case-control methodology was utilized. The cases were 36 men who had died of lung cancer and the controls were 289 men who had died of any other cause. The number of years of employment in the steel pouring area was used as a surrogate measure of exposure. The data were examined by contingency table analysis and by logistic regression, which permitted adjustment for exposures in multiple time windows and the use of continuous, rather than categorical, measures of exposure. It was found that lung cancer risk was associated with exposures occurring between 18 and 30 years before death. It cannot yet be determined whether this time course reflects a biological response or the temporal pattern of exposure to an as yet unidentified toxic agent.

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Year:  1991        PMID: 1992679     DOI: 10.1002/ajim.4700190210

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


  7 in total

1.  Hierarchical latency models for dose-time-response associations.

Authors:  David B Richardson; Richard F MacLehose; Bryan Langholz; Stephen R Cole
Journal:  Am J Epidemiol       Date:  2011-02-08       Impact factor: 4.897

2.  Quantifying risk over the life course - latency, age-related susceptibility, and other time-varying exposure metrics.

Authors:  Molin Wang; Xiaomei Liao; Francine Laden; Donna Spiegelman
Journal:  Stat Med       Date:  2016-01-10       Impact factor: 2.373

3.  Silicosis exposure-response in a cohort of tin miners comparing alternate exposure metrics.

Authors:  Robert M Park; Weihong Chen
Journal:  Am J Ind Med       Date:  2012-09-19       Impact factor: 2.214

4.  A Cohort Study of Adolescent and Midlife Diet and Pancreatic Cancer Risk in the NIH-AARP Diet and Health Study.

Authors:  Vanessa L Z Gordon-Dseagu; Frances E Thompson; Amy F Subar; Elizabeth H Ruder; Anne C M Thiébaut; Nancy Potischman; Rachael Stolzenberg-Solomon
Journal:  Am J Epidemiol       Date:  2017-08-01       Impact factor: 4.897

5.  Hormone use and lung cancer incidence: the Rancho Bernardo cohort study.

Authors:  Joshua R Smith; Elizabeth Barrett-Connor; Donna Kritz-Silverstein; Deborah L Wingard; Wael K Al-Delaimy
Journal:  Menopause       Date:  2009 Sep-Oct       Impact factor: 2.953

6.  Using tensor product splines in modeling exposure-time-response relationships: application to the Colorado Plateau Uranium Miners cohort.

Authors:  Kiros Berhane; Michael Hauptmann; Bryan Langholz
Journal:  Stat Med       Date:  2008-11-20       Impact factor: 2.373

Review 7.  Cancer risk assessment of extremely low frequency electric and magnetic fields: a critical review of methodology.

Authors:  J McCann
Journal:  Environ Health Perspect       Date:  1998-11       Impact factor: 9.031

  7 in total

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