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Coding of occupation for the ``young cohort'' of the Danish twin register

A resource for future epidemiologic research

Department of Occupational and Environmental Medicine, Odense University Hospital, Odense University, Institute of Community Health, Department of Genetic Epidemiology, Nordic Institute of Chiropractic and Clinical Biomechanics, Odense, Denmark

Svend Lings

Department of Occupational and Environmental Medicine, Odense University Hospital

Elisabeth H. Corder

Odense University, Institute of Community Health, Department of Genetic Epidemiology, Center for Demographic Studies, Duke University, Durham, NC, USA

Objectives: Information on health-related outcomes and exposures is available in user-friendly computerized format for the ``young cohort'' of the Danish Twin Register born 1953-82. We incorporated occupation information within the database to facilitate future job-related studies. Methods: Occupation information for the 29,430 twins responding to a mailed questionnaire in 1995 was coded according to DISCO-88. The subjects were classified in three ways depending on the information available: directly from the 2,196 job titles listed in the DISCO-88 handbook, according to a set of predetermined rules, or by consensus if ambiguous information was provided. Two percent (2%) of the sample was recoded independently by two investigators to demonstrate coding consistency. Results: Occupation could be directly coded using job titles for 61% of the sample; 15% were coded according to a set of rules or by consensus; 24% could not be coded. The recoded sample was 99% in agreement with the original coding. Conclusion: Occupation information has been incorporated within the extensive health-related database for the ``young cohort'' of the Danish Twin Register. This resource is available to researchers for future studies concerning occupation, health, and heredity using (1) the existing data (2) via linkage to other Danish databases, or (3) by contacting selected subjects directly.

Key Words: DISCO-88 • epidemiology • exposure • genetics • job exposure matrix • occupation • twin studies.

Scandinavian Journal of Public Health, Vol. 27, No. 2, 148-151 (1999)
DOI: 10.1177/14034948990270020301


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