Differences in working conditions and employment arrangements among migrant and non-migrant workers in Europe

Ronda, Elena; Benavides, Fernando G.; Levecque, Katia; Love, John G; Felt, Emily; Rossem, Ronan Van

doi:10.1080/13557858.2012.730606

Cited by 77 publications

(40 citation statements)

References 21 publications

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“…The European Working Conditions Survey (EWCS) found that migrant workers were more likely to be exposed to occupational risk factors such as working at very high speeds and carrying heavy loads,27 which is consistent with the findings of our study. The EWCS analysis did not adjust for job role; therefore, the differences could be due to migrants occupying more hazardous jobs than non-migrants.…”

Section: Discussionsupporting

confidence: 92%

Inequities in exposure to occupational risk factors between Māori and non-Māori workers in Aotearoa New Zealand

Eng

Barnes

Cheng

et al. 2018

J Epidemiol Community Health

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Section: Discussionsupporting

confidence: 92%

Inequities in exposure to occupational risk factors between Māori and non-Māori workers in Aotearoa New Zealand

Eng

Barnes

Cheng

et al. 2018

J Epidemiol Community Health

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“…The following variables (36 items) were therefore selected according to the literature: gender [9]; age (treated as a continuous variable) [13], [40]; education (≤9 years versus >9 years) [41], [42]; employment before injury (yes versus no) [43]; qualified work (professional certification versus no certification) [25]; marital status (living in stable partnership versus alone) [44]; litigation in relation with the accident (yes versus no) [45]; native language (French versus others) [29], [30]; work related injury (yes versus no) [9]; injury severity according to the Abbreviated Injury Scale (AIS), (rank 1 to 5; 6 = fatal injury) [9], [10], [46], trauma localization (upper limb, lower limb, spine, multiple trauma) [3] and pain [9], [11]–[13]. Quality of life, which correlates well with self-perception of disability and feeling of recovery [6], [47] was also assessed.…”

Section: Methodsmentioning

confidence: 99%

“…For instance exclusion of non-native workers, a growing segment of the work forces in industrialized countries, may bias a predictive model [27], [29]. It is well known that non-native workers are a vulnerable population and may be at risk of being exposed to adverse working conditions [29], [30]. Therefore, they may have more difficulties returning to work.…”

Section: Introductionmentioning

confidence: 99%

Predicting Non Return to Work after Orthopaedic Trauma: The Wallis Occupational Rehabilitation RisK (WORRK) Model

et al. 2014

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BackgroundWorkers with persistent disabilities after orthopaedic trauma may need occupational rehabilitation. Despite various risk profiles for non-return-to-work (non-RTW), there is no available predictive model. Moreover, injured workers may have various origins (immigrant workers), which may either affect their return to work or their eligibility for research purposes. The aim of this study was to develop and validate a predictive model that estimates the likelihood of non-RTW after occupational rehabilitation using predictors which do not rely on the worker’s background.MethodsProspective cohort study (3177 participants, native (51%) and immigrant workers (49%)) with two samples: a) Development sample with patients from 2004 to 2007 with Full and Reduced Models, b) External validation of the Reduced Model with patients from 2008 to March 2010. We collected patients’ data and biopsychosocial complexity with an observer rated interview (INTERMED). Non-RTW was assessed two years after discharge from the rehabilitation. Discrimination was assessed by the area under the receiver operating curve (AUC) and calibration was evaluated with a calibration plot. The model was reduced with random forests.ResultsAt 2 years, the non-RTW status was known for 2462 patients (77.5% of the total sample). The prevalence of non-RTW was 50%. The full model (36 items) and the reduced model (19 items) had acceptable discrimination performance (AUC 0.75, 95% CI 0.72 to 0.78 and 0.74, 95% CI 0.71 to 0.76, respectively) and good calibration. For the validation model, the discrimination performance was acceptable (AUC 0.73; 95% CI 0.70 to 0.77) and calibration was also adequate.ConclusionsNon-RTW may be predicted with a simple model constructed with variables independent of the patient’s education and language fluency. This model is useful for all kinds of trauma in order to adjust for case mix and it is applicable to vulnerable populations like immigrant workers.

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“…Frequently, culture was presented as a reason workers fail to challenge hazardous work and to report or seek care for health conditions . A few noted the need to research the role of culture in influencing health and safety behaviors or perceptions . In addition, 24 articles (22%) discussed acculturation, mostly in terms of health and safety risks and responses.…”

Section: Resultsmentioning

confidence: 99%

“…Articles also discussed culture in relation to conceptual or theoretical approaches, research instruments, and sampling methods (eg, using cultural indicators to identify participants) . Some article noted that culture could impact self‐reporting or otherwise impede participants’ discourse …”

Section: Resultsmentioning

confidence: 99%

Discourse on culture in research on immigrant and migrant workers’ health

Premji

2019

American J Industrial Med

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Background Health and safety researchers and practitioners have proposed that cultural differences help explain inequalities between foreign and native‐born workers. While cultural explanations for inequalities have long been debated in other fields, there exists little critique of cultural discourses in occupational health. Methods This article examines and discusses the discourse on culture in 107 articles on immigrant or migrant workers’ health published between 2011 and 2015. For each article, passages on culture were identified and analysed for both the context and the manner in which culture was discussed. Results The discourse on culture was found to be generally simplistic, individualistic, and uncritical, intentionally or unintentionally supporting the worldview that workers’ “otherness” is both cause of inequalities and target for interventions. Conclusion The article argues that empirical, theoretical and interdisciplinary work is needed to document the mechanisms and pathways that underlie health and safety inequalities by foreign‐born status.

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Differences in working conditions and employment arrangements among migrant and non-migrant workers in Europe

Abstract: Migrant workers across Europe are more likely to be exposed to certain working and employment arrangements that may place them at higher risk of future health problems.

Cited by 77 publications

References 21 publications

Inequities in exposure to occupational risk factors between Māori and non-Māori workers in Aotearoa New Zealand

Inequities in exposure to occupational risk factors between Māori and non-Māori workers in Aotearoa New Zealand

Predicting Non Return to Work after Orthopaedic Trauma: The Wallis Occupational Rehabilitation RisK (WORRK) Model

Discourse on culture in research on immigrant and migrant workers’ health

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