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

Madsen, Ida E. H.; Gupta, Nidhi; Budtz‐Jørgensen, Esben; Bonde, Jens Peter; Framke, Elisabeth; Flachs, Esben Meulengracht; Petersen, Susanne; Svane-Petersen, Annemette Coop; Holtermann, Andreas; Rugulies, Reiner

doi:10.1136/oemed-2018-105151

Cited by 49 publications

(57 citation statements)

References 37 publications

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“…Consistent with previous studies (Coggon et al 2013;Neupane et al 2017;Haukka et al 2012;Madsen et al 2018) we found a rather strong positive association between selfreported high OPA and MSP. Eldercare workers are regularly exposed to manual handling activities such as lifting, pulling, and pushing activities, in an awkward body position, which have some causal relationship with musculoskeletal pain (da Costa and Vieira 2010).…”

Section: Comparison With Previous Studiessupporting

confidence: 92%

Objectively measured versus self-reported occupational physical activity and multisite musculoskeletal pain: a prospective follow-up study at 20 nursing homes in Denmark

Neupane

Karstad

Hallman

et al. 2019

Int Arch Occup Environ Health

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Purpose To explore the prospective association of objectively measured and self-reported occupational physical activity (OPA) with multisite musculoskeletal pain (MSP) among Danish eldercare workers. Methods The study population consisted of eldercare workers in 20 Danish nursing homes (N = 553, response rate 59%, 525 female). Baseline data were collected in 2013-2014 and the 1-year follow-up was completed in 2016. At baseline, we measured objective OPA by a thigh-worn ActiGraph GT3X + accelerometer during work and self-reported OPA by a questionnaire survey. Information on musculoskeletal pain during the past four weeks in seven different body sites was reported by a structured questionnaire at baseline (n = 389) and by SMS and telephone interview during follow-up (n = 284). MSP was defined as having pain in two or more body sites. Using log-binomial models we calculated risk ratios (RRs) with their 95% confidence intervals (CIs) to estimate the association between objectively measured and self-reported OPA and MSP. Results We found statistically significant positive associations between self-reported OPA (RR for high OPA 1.24, 95% CI 1.05-1.46) and MSP while there was no significant association found between objective OPA and MSP. Conclusion Our study indicates that self-reported, but not objectively measured OPA is positively associated with MSP. This finding highlights the need for better understanding, use, and interpretation of self-reported and objectively measured OPA in the study of MSP.

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Section: Comparison With Previous Studiessupporting

confidence: 92%

Objectively measured versus self-reported occupational physical activity and multisite musculoskeletal pain: a prospective follow-up study at 20 nursing homes in Denmark

Neupane

Karstad

Hallman

et al. 2019

Int Arch Occup Environ Health

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“…Occupational groups were classified according to the Danish version of the ISCO-88 classification (DISCO-88). The intraclass correlation coefficient (ICC) for the JEM was 0.30 which is satisfactory compared to other JEM-based exposures for psychosocial work environment factors [47]. The occupations with the lowest and highest levels of job control are presented in Table S2.…”

Section: Exposure Variable: Job Controlmentioning

confidence: 80%

“…The predicted level of job control was assessed using a Job Exposure Matrix (JEM). JEMs were first used in work environment studies in the 1980s [41], and recently, several studies on the development or application of JEMs have been published from Finland, France, the Netherlands, Denmark and Germany [42][43][44][45][46][47]. In countries such as Denmark with population based administrative registers, JEMs enable studies of associations between work environment and health in nationwide cohorts.…”

Section: Exposure Variable: Job Controlmentioning

confidence: 99%

Psychosocial working conditions and depressive disorder: disentangling effects of job control from socioeconomic status using a life-course approach

Svane-Petersen

Holm

Burr

et al. 2019

Soc Psychiatry Psychiatr Epidemiol

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Purpose Job control, the combination of skill discretion and decision authority, is considered a central component of the psychosocial working environment. This longitudinal study examines the relation between job control and risk of incident depressive disorder using a life-course approach. Methods We analyze data from The Danish Work Life Course Cohort study, including all Danish individuals aged 15–30 who entered the Danish labor market during 1995–2009 and were free from depressive disorder at entry (955,573 individuals). We measured job control using a job exposure matrix. Depressive disorders were measured using information from nationwide registers of psychiatric in- and outpatient admissions. Using Cox regression models we estimated the prospective association between job control and risk of incident depressive disorders. Analyses accounted for a range of potential confounders prior to workforce entry including socioeconomic status in adolescence and parental psychiatric and somatic diagnoses prior to labor market entry, together with potential confounders in adulthood including income, education, and demographics. Results Lower levels of past year job control were associated with a higher risk of depressive disorder after adjustment for all covariates (HR = 1.27, 95% CI 1.16–1.38). Results stratified by gender showed associations for both men (HR = 1.38, 95% CI 1.19–1.61) and women (HR = 1.19, 95% CI 1.08–1.32). Conclusions: Our findings suggest that the level of job control at work affects the risk of clinically diagnosed depressive disorder, and that this association is not due to confounding by socioeconomic status.

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“…Job-exposure matrices are well established to reflect job exposures for various research questions including the association of job exposures to subjective health, injuries, early retirement, lifestyle factors, and health behaviour [4,12,14,15]. It has been shown for single exposures and diseases that the use of job-exposure matrices can provide similar results as the individual assessment of work-related exposures [42][43][44].…”

Section: Limitationsmentioning

confidence: 99%

Occupation as a Proxy for Job Exposures? Routine Data Analysis Using the Example of Rehabilitation

2019

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Aim of the study Job exposures are associated with health-related outcomes including sick leave and reduction in earning capacity. Rehabilitation of persons in working age aims primarily to secure or restore work capacity. Information concerning job exposures is, however, not directly available in routine data of healthcare payers. Since exposures relate to specific occupations and the current occupation is part of routine data, job exposures may be determined indirectly via job-exposure matrices (JEM). The aim of the study is to describe the possibilities and challenges of the representation of job exposures by the occupation according to routine data using the example of rehabilitation. Methods The Scientific Use File ‘SUFRSDLV15B’ of the German Pension Insurance was analysed. We used data from n=1 242 171 persons in work with at least one completed medical rehabilitation between 2008 and 2015 (dataset 1). The occupation is coded according to KldB 88 or KldB 2010 (German Classification of Occupations). In addition, data from a nationwide survey with 2530 rehabilitation patients was available (dataset 2). Job exposures are operationalized by the Job Exposure Index via JEM. The relationship to the return-to-work prognosis at the end of rehabilitation (dataset 1) and to patient reported outcome measures (dataset 2) is described. Results Information concerning the occupation is available for about 91% of rehabilitation measures of employed patients for the year prior to rehabilitation. At high levels of job exposures, the proportion of persons with a predicted working capacity in the last job of fewer than 3 h per day increased by a factor of 4 compared to low-level job exposures (23.5 vs. 6.1%). On the other hand, there is a low association only to reduced working capacity in the general labour market (2.9 vs. 2.4%). High-level job exposures are associated with self-reported, work-related impairments. Conclusion The Job Exposure Index may offer a valid approach to depict occupation-related exposures. The index can be used in the analysis of routine data of the pension insurance and other social security funds, as well as in the linkage of individual assessment data with routine data containing the occupation, without any additional data collection effort. Due to its construction based on job classifications, it will not replace the assessment of individual burdens.

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

Cited by 49 publications

References 37 publications

Objectively measured versus self-reported occupational physical activity and multisite musculoskeletal pain: a prospective follow-up study at 20 nursing homes in Denmark

Objectively measured versus self-reported occupational physical activity and multisite musculoskeletal pain: a prospective follow-up study at 20 nursing homes in Denmark

Psychosocial working conditions and depressive disorder: disentangling effects of job control from socioeconomic status using a life-course approach

Occupation as a Proxy for Job Exposures? Routine Data Analysis Using the Example of Rehabilitation

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