Literature DB >> 12777430

The use of occupation and industry classifications in general population studies.

A 't Mannetje1, H Kromhout.   

Abstract

Occupation and industry classifications are used in epidemiological studies to classify study subjects according to their job and subsequently to study risk by job, to infer social class indicators, or to infer exposure to specific agents through job-exposure matrices. However, documentation on methodological aspects concerning the use of occupation and industry classifications is sparse within epidemiology. This paper reviews the diverse applications of occupation and industry classifications in population-based epidemiological studies. The different classifications in use are discussed, and criteria are given for choosing a classification in an epidemiological study. Finally, the reliability of coding for occupation and industry is reviewed. A further standardization of the use of occupation and industry classifications in epidemiology is recommended, in order to facilitate future comparisons between studies and fully exploit their possibilities, especially when occupational exposures are to be inferred.

Entities:  

Mesh:

Year:  2003        PMID: 12777430     DOI: 10.1093/ije/dyg080

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  48 in total

1.  A glossary for the social epidemiology of work organisation: part 3, terms from the sociology of labour markets.

Authors:  W C Hadden; C Muntaner; J Benach; D Gimeno; F G Benavides
Journal:  J Epidemiol Community Health       Date:  2007-01       Impact factor: 3.710

2.  Occupations associated with a high risk of self-reported back pain: representative outcomes of a back pain prevalence study in the Federal Republic of Germany.

Authors:  Sven Schneider; Slawomira Lipinski; Marcus Schiltenwolf
Journal:  Eur Spine J       Date:  2006-01-24       Impact factor: 3.134

3.  Assigning exposure to pesticides and solvents from self-reports collected by a computer assisted personal interview and expert assessment of job codes: the UK Adult Brain Tumour Study.

Authors:  S J Hepworth; A Bolton; R C Parslow; M van Tongeren; K R Muir; P A McKinney
Journal:  Occup Environ Med       Date:  2006-04       Impact factor: 4.402

4.  Maternal work and birth outcome disparities.

Authors:  Janice F Bell; Frederick J Zimmerman; Paula K Diehr
Journal:  Matern Child Health J       Date:  2007-08-15

5.  Usual adult occupation and risk of prostate cancer in West African men: the Ghana Prostate Study.

Authors:  Colin Adler; Melissa C Friesen; Edward D Yeboah; Yao Tettey; Richard B Biritwum; Andrew A Adjei; Evelyn Tay; Victoria Okyne; James E Mensah; Ann Truelove; Baiyu Yang; Scott P Kelly; Cindy Ke Zhou; Lauren E McCullough; Larissa Pardo; Robert N Hoover; Ann W Hsing; Michael B Cook; Stella Koutros
Journal:  Occup Environ Med       Date:  2018-12-07       Impact factor: 4.402

6.  Validity of self-reported occupational noise exposure.

Authors:  Klaus Schlaefer; Brigitte Schlehofer; Joachim Schüz
Journal:  Eur J Epidemiol       Date:  2009-06-19       Impact factor: 8.082

7.  Performance of self-reported occupational exposure compared to a job-exposure matrix approach in asthma and chronic rhinitis.

Authors:  P J Quinlan; G Earnest; M D Eisner; E H Yelin; P P Katz; J R Balmes; P D Blanc
Journal:  Occup Environ Med       Date:  2008-09-19       Impact factor: 4.402

8.  [Physical movement - is it good for the back? Nationwide representative study on different effects of physical activity at the workplace and in leisure time].

Authors:  S Schneider; S Zoller
Journal:  Orthopade       Date:  2009-10       Impact factor: 1.087

9.  Lung cancer and occupation in a population-based case-control study.

Authors:  Dario Consonni; Sara De Matteis; Jay H Lubin; Sholom Wacholder; Margaret Tucker; Angela Cecilia Pesatori; Neil E Caporaso; Pier Alberto Bertazzi; Maria Teresa Landi
Journal:  Am J Epidemiol       Date:  2010-01-04       Impact factor: 4.897

10.  The effect of uncertainty in exposure estimation on the exposure-response relation between 1,3-butadiene and leukemia.

Authors:  John J Graff; Nalini Sathiakumar; Maurizio Macaluso; George Maldonado; Robert Matthews; Elizabeth Delzell
Journal:  Int J Environ Res Public Health       Date:  2009-09-11       Impact factor: 3.390

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.