Study of the validity of a job–exposure matrix for the job strain model factors: an update and a study of changes over time

Niedhammer, Isabelle; Milner, Allison; LaMontagne, Anthony D.; Chastang, Jean-François

doi:10.1007/s00420-018-1299-2

Cited by 23 publications

(38 citation statements)

References 47 publications

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“…Regarding physical and psychosocial working conditions, JEMs are also not a new phenomenon, but there seems to be a growing interest in constructing JEMs for these exposures. In recent years, several studies have applied or validated matrices based on self-reported exposure data aggregated to the job group level in Finland, 3 4 France, 5 Australia 6 and Denmark. 7 8 In these JEMs, a group exposure estimate is constructed, representing the average assessment of the working conditions within the job group.…”

Section: Introductionmentioning

confidence: 99%

Physical work demands and psychosocial working conditions as predictors of musculoskeletal pain: a cohort study comparing self-reported and job exposure matrix measurements

et al. 2018

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ObjectivesDetermining exposure to occupational factors by workers’ job titles is extensively used in epidemiological research. However, the correspondence of findings regarding associations to health between job exposure matrices (JEMs) and individual-level exposure data is largely unknown. We set out to examine the prospective associations of physical work demands and psychosocial working conditions with musculoskeletal pain, comparing JEMs with individual-level self-reported exposures.MethodsWe analysed data of 8132 participants from the Work Environment and Health in Denmark cohort study. Using random intercept multilevel modelling, we constructed age-specific and sex-specific JEMs estimating predicted exposures in job groups. We analysed associations between working conditions (individual and JEM level) at baseline and musculoskeletal pain at follow-up using multilevel modelling stratified by sex, adjusting for age, education and baseline pain.ResultsAny consistent associations present in the individual-level analysis were also found in the JEM-level analysis. Higher pain levels at follow-up was seen for employees with higher baseline physical work demands, women exposed to violence and men with lower decision authority, whether measured at the individual or JEM level. Higher JEM-level quantitative demands were associated with less pain, but no association was seen at the individual level.ConclusionsWe found predominately comparable prospective associations between working conditions and pain, whether using JEMs or individual level exposures, with the exception of quantitative demands. The results suggest that, with few notable exceptions, findings obtained using JEMs may be comparable with those obtained when using self-reported exposures.

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Section: Introductionmentioning

confidence: 99%

Physical work demands and psychosocial working conditions as predictors of musculoskeletal pain: a cohort study comparing self-reported and job exposure matrix measurements

et al. 2018

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“…We would argue that our exposure estimates will be reasonably representative of the whole study period. We showed in a previous publication20 that there may be changes in JEMs for the job strain model factors over the 2003–2010 period. These changes affected more the absolute values of exposure estimates than the relative position (rank) of occupations, economic activities and company sizes.…”

Section: Discussionmentioning

confidence: 85%

“…Using the data from the 2003 SUMER survey, a first JEM was constructed and validated for the job strain model factors, that is, psychological demands, decision latitude and social support,20 and other JEMs will be constructed and studied for other psychosocial work exposures which are: low reward, job insecurity, temporary employment, long working hours, atypical work schedules, low predictability and workplace violence. The methods of the JEM construction based on both a segmentation method (CART) and cross-validation were described extensively in a previous publication20 and will also be used for the construction of new JEMs. The JEM provides exposure estimates using three variables of job title: occupation and economic activity of the company both coded using the standard French classifications (PCS and NAF) and company size for men and women separately.…”

Section: Methods and Analysismentioning

confidence: 99%

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Prospective associations of psychosocial work exposures with mortality in France: STRESSJEM study protocol

et al. 2019

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IntroductionAlthough evidence has been provided on the associations between psychosocial work exposures and morbidity outcomes in the literature, knowledge appears much more sparse on mortality outcomes. The objective of STRESSJEM is to explore the prospective associations between psychosocial work exposures and mortality outcomes among the national French working population. In this paper, we describe the study protocol, study population, data sources, method for exposure assessment, data analysis and future plans.Methods and analysisData sources will include: the data from the national SUMER survey from DARES on the evaluation of psychosocial work exposures and the data from the COSMOP programme from Santé publique France linking job history (DADS data from INSEE) and mortality according to causes of death (data from the national death registry, INSERM-CépiDc). A sample of 1 511 456 individuals will form the studied prospective cohort for which data are available on both job history and mortality over the period 1976–2002. Psychosocial work exposures will be imputed via a job-exposure matrix using three job title variables that are available in both the SUMER and COSMOP data sets. Our objectives will be to study the associations between various psychosocial work exposures and mortality outcomes. Psychosocial work exposures will include the job strain model factors as well as other psychosocial work factors. Various measures of exposure over time will be used. All-cause and cause-specific mortality will be studied.Ethics and disseminationBoth the SUMER survey and the COSMOP programme have been approved by French ethics committees. Dissemination of the study results will include a series of international peer-reviewed papers and at least one paper in French. The results will be presented in national and international conferences. This project will offer a unique opportunity to explore mortality outcomes in association with psychosocial work exposures in a large national representative sample of the working population.

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“…The latter aspect of JEM validity is particularly important when occupational codes are retrieved from national registers, without occupational research as the primary objective. While the validity of exposures assigned by JEM has been examined in a number of publications (8)(9)(10)(11)(12)(13), the validity of the job titles and occupational codes per se has seldom been examined (7,14). Incorrect occupational codes in registers may be the result of erroneous reporting from the primary sources (eg, tax agents, companies) and -if classification systems have changed over time -errors in translation from one classification system to another.…”

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confidence: 99%

Influence of errors in job codes on job exposure matrix-based exposure assessment in the register-based occupational cohort DOC*X

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et al. 2019

Scand J Work Environ Health

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We found substantial agreement between job-exposure-matrix-derived exposure estimates according to DISCO-88 codes based on self-reported job-titles and registered in the Danish Occupational Cohort with eXposure data (DOC*X), with respect to airborne, mechanical, and physical exposures. Substantial agreement was also found between the two sets of DISCO-88 codes. The results are promising with respect to future studies based on the DOC*X.

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Study of the validity of a job–exposure matrix for the job strain model factors: an update and a study of changes over time

Cited by 23 publications

References 47 publications

Physical work demands and psychosocial working conditions as predictors of musculoskeletal pain: a cohort study comparing self-reported and job exposure matrix measurements

Physical work demands and psychosocial working conditions as predictors of musculoskeletal pain: a cohort study comparing self-reported and job exposure matrix measurements

Prospective associations of psychosocial work exposures with mortality in France: STRESSJEM study protocol

Influence of errors in job codes on job exposure matrix-based exposure assessment in the register-based occupational cohort DOC*X

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