Job-exposure matrices addressing lifestyle to be applied in register-based occupational health studies

Tidsskriftartikel - 2018


OBJECTIVES: Information about lifestyle factors in register-based occupational health studies is often not available. The objective of this study was therefore to develop gender, age and calendar-time specific job-exposure matrices (JEMs) addressing five selected lifestyle characteristics across job groups as a tool for lifestyle adjustment in register-based studies.

METHODS: We combined and harmonised questionnaire and interview data on lifestyle from several Danish surveys in the time period 1981-2013 for 264 054 employees registered with a DISCO-88 code (the Danish version of International Standard Classification of Occupations (ISCO)-88) in a nationwide register-based Danish Occupational Cohort. We modelled the probability of specified lifestyles in mixed models for each level of the four-digit DISCO code with age and sex as fixed effects and assessed variation in terms of intraclass correlation coefficients (ICCs) and exposure-level percentile ratios across jobs for six different time periods from 1981 through 2013.

RESULTS: The ICCs were overall low (0.26%-7.05%) as the within-job group variation was large relative to the between job group variation, but across jobs the calendar period-specific ratios between highest and lowest predicted levels were ranging from 1.2 to 6.9, and for the 95%/1% and the 75%/5% percentile ratios ranges were 1.1-2.8 and 1.1-1.6, respectively, thus indicating substantial contrast for some lifestyle exposures and some occupations.

CONCLUSIONS: The lifestyle JEMs may prove a useful tool for control of lifestyle-related confounding in register-based occupational health studies where lacking information on individual lifestyle factors may compromise internal validity.


Bondo Petersen S, Flachs EM, Prescott EIB, Tjønneland A, Osler M, Andersen I, Juel K, Budz-Jørgensen E, Kolstad HA, Schlünssen V, Bonde JP. Job-exposure matrices addressing lifestyle to be applied in register-based occupational health studies. Occupational and Environmental Medicine 2018;75:890-897.
doi: 10.1136/oemed-2018-104991

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