Literature DB >> 7846496

Some recent developments in occupational epidemiology.

O Axelson1.   

Abstract

Occupational epidemiology has grown rapidly since the late 1970s. Case-referent studies have become popular, but more recent development relates to analyses of cohort data. Length of follow-up and employment status can now be adjusted for in such analyses. Attention should also be given to "time windows" of relevant exposure, not only in cancer studies. In cross-sectional studies of common diseases, the prevalence rate ratio should be used rather than the currently popular but unintelligible odds ratio as obtained by logistic regression. Exposure assessment should involve measures that would best reveal an existing risk and dose-response relationships. New achievements in molecular biology are currently influencing the development in occupational epidemiology. Not only DNA (or protein) adducts as markers of exposure or early effect, but also the possibilities to use data on metabolic polymorphism to identify genetically susceptible individuals attract interest. Activated oncogenes and inactivated tumor suppressor gene are useful for subspecifying various cancer types so as to obtain more sensitive studies.

Entities:  

Mesh:

Substances:

Year:  1994        PMID: 7846496

Source DB:  PubMed          Journal:  Scand J Work Environ Health        ISSN: 0355-3140            Impact factor:   5.024


  4 in total

1.  Socioeconomic position and low-back pain--the role of biomechanical strains and psychosocial work factors in the GAZEL cohort.

Authors:  Sandrine Plouvier; Annette Leclerc; Jean-François Chastang; Sébastien Bonenfant; Marcel Goldberg
Journal:  Scand J Work Environ Health       Date:  2009-10-01       Impact factor: 5.024

2.  Use of the prevalence ratio v the prevalence odds ratio in view of confounding in cross sectional studies.

Authors:  O Axelson; M Fredriksson; K Ekberg
Journal:  Occup Environ Med       Date:  1995-07       Impact factor: 4.402

3.  Prevalence odds ratio or prevalence ratio in the analysis of cross sectional data: what is to be done?

Authors:  M L Thompson; J E Myers; D Kriebel
Journal:  Occup Environ Med       Date:  1998-04       Impact factor: 4.402

4.  A pilot study on risk factors and p53 gene expression in colorectal cancer.

Authors:  M Fredrikson; O Axelson; X F Sun; G Arbman; E Nilsson; B Nordenskjöld; R Sjödahl; P Söderkvist
Journal:  Br J Cancer       Date:  1996-06       Impact factor: 7.640

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.