Contribution of working conditions to occupational inequalities in depressive symptoms: results from the national French SUMER survey

Niedhammer, Isabelle; Lesuffleur, Thécla; Coutrot, Thomas; Chastang, Jean-François

doi:10.1007/s00420-016-1142-6

Cited by 19 publications

(20 citation statements)

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“…In our study, income inequalities in psychological distress were attenuated after adjustment for reward, JC and SS, which is consistent with findings from previous studies [25, 27, 30, 34, 36]. (The results were similar with education inequalities, see Additional file 2).…”

Section: Discussionsupporting

confidence: 92%

“…The important contribution of reward found in the present study was in line with Niedhammer et al who reported that reward contributed to explain 12.8% to 48.8% of social inequalities in depression among men [36]. However, in the present study, this component of the ERI model had the highest relative contribution.…”

Section: Discussionsupporting

confidence: 90%

“…JC was found to make the greatest contribution in explaining social inequalities in well-being and depression [30, 31, 36]. SS has also been shown to partly explain social inequalities in mental functioning [28, 36].…”

Section: Discussionmentioning

confidence: 99%

“…Previous studies that have examined the contribution of psychosocial work factors to social inequalities in MHP showed inconsistent results [15, 23–36]. Three previous studies have examined the contribution of ERI exposure at work [23, 34, 36], which deleterious effect on mental health is well-documented and showed to be independent from other adverse psychosocial factors at work [37–40].…”

Section: Introductionmentioning

confidence: 99%

“…Three previous studies have examined the contribution of ERI exposure at work [23, 34, 36], which deleterious effect on mental health is well-documented and showed to be independent from other adverse psychosocial factors at work [37–40]. Only one previous study has examined the relative and complementary contribution of DCS and ERI exposures in explaining social inequalities in mental health, using four dimensions covered by these theoretical models [36]. …”

Section: Introductionmentioning

confidence: 99%

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Psychosocial work factors and social inequalities in psychological distress: a population-based study

et al. 2017

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BackgroundMental health problems (MHP) are the leading cause of disability worldwide. The inverse association between socioeconomic position (SEP) and MHP has been well documented. There is prospective evidence that factors from the work environment, including adverse psychosocial work factors, could contribute to the development of MHP including psychological distress. However, the contribution of psychosocial work factors to social inequalities in MHP remains unclear. This study evaluates the contribution of psychosocial work factors from two highly supported models, the Demand-Control-Support (DCS) and the Effort-Reward Imbalance (ERI) models to SEP inequalities of psychological distress in men and women from a population-based sample of Quebec workers.MethodsData were collected during a survey on working conditions, health and safety at work. SEP was evaluated using education, occupation and household income. Psychosocial work factors and psychological distress were assessed using validated instruments. Mean differences (MD) in the score of psychological distress were estimated separately for men and women.ResultsLow education level and low household income were associated with psychological distress among men (MD, 0.56 (95% CI 0.06; 1.05) and 1.26 (95% CI 0.79; 1.73) respectively). In men, the contribution of psychosocial work factors from the DCS and the ERI models to the association between household income and psychological distress ranged from 9% to 24%. No clear inequalities were observed among women.ConclusionsThese results suggest that psychosocial work factors from the DCS and the ERI models contribute to explain a part of social inequalities in psychological distress among men. Psychosocial factors at work are frequent and modifiable. The present study supports the relevance of targeting these factors for the primary prevention of MHP and for health policies aiming to reduce social inequalities in mental health.Electronic supplementary materialThe online version of this article (doi:10.1186/s12889-017-4014-4) contains supplementary material, which is available to authorized users.

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