A new ranking index to identify the work-related psychosocial factors most impacting mental health: a cross-sectional study
Objectives In modern professional life, mental health prevention and promotion have become a major challenge for decision-makers. Devising appropriate actions requires better understanding the role played by each work-related psychosocial factor (WPSF). The objective of this study was to present a r...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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BMJ Publishing Group
2022-12-01
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| Series: | BMJ Open |
| Online Access: | https://bmjopen.bmj.com/content/12/12/e046444.full |
| _version_ | 1797784824854872064 |
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| author | Astrid Chevance Raphael Gaillard Oumou Salama Daouda Laura Temime Mounia N Hocine Patrick Légeron Gilbert Saporta |
| author_facet | Astrid Chevance Raphael Gaillard Oumou Salama Daouda Laura Temime Mounia N Hocine Patrick Légeron Gilbert Saporta |
| author_sort | Astrid Chevance |
| collection | DOAJ |
| description | Objectives In modern professional life, mental health prevention and promotion have become a major challenge for decision-makers. Devising appropriate actions requires better understanding the role played by each work-related psychosocial factor (WPSF). The objective of this study was to present a relevant tool to hierarchise WPSFs that jointly takes into account their importance (impact on mental health) and their prevalence (the proportion of the population exposed to WPSF).Design A cross-sectional study was conducted in March 2018 among 3200 French workers which are representative of the French working population.Setting France.Participants Individuals aged 18–80 years who declared currently having a job (even a part-time job) whatever their occupation or status (employee or self-employed) were eligible. We excluded students, unemployed individuals, housewives/husbands and retired people. The mental health level was assessed using the General Health Questionnaire-28 and 44 items were gathered from theoretical models of WPSFs. We assessed two distinct multivariate methods for calculating WPSF importance: (1) weifila (weighted first last) method in a linear regression context and (2) random forests in a non-linear context. Both methods were adjusted on individual, health and job characteristics.Results The WPSF rankings obtained with the two methods to calculate importance are strongly consistent with each other (correlation coefficient=0.88). We highlighted nine WPSFs that are ranked high by both methods. In particular, irrespective of the chosen method, lack of communication, lack of social and hierarchy support and personal–professional life imbalance, emotional demands at work and dissatisfaction with the compensation received came out as top-ranking WPSFs.Conclusions A total of nine WPSFs were identified as key for decision-making. The easy-to-use tools we propose can help decision-makers identify priority WPSFs and design effective strategies to promote mental health in the workplace. |
| first_indexed | 2024-03-13T00:45:25Z |
| format | Article |
| id | doaj.art-5b0a225bf4184df6814d4207aeaf8163 |
| institution | Directory Open Access Journal |
| issn | 2044-6055 |
| language | English |
| last_indexed | 2024-03-13T00:45:25Z |
| publishDate | 2022-12-01 |
| publisher | BMJ Publishing Group |
| record_format | Article |
| series | BMJ Open |
| spelling | doaj.art-5b0a225bf4184df6814d4207aeaf81632023-07-09T11:00:07ZengBMJ Publishing GroupBMJ Open2044-60552022-12-01121210.1136/bmjopen-2020-046444A new ranking index to identify the work-related psychosocial factors most impacting mental health: a cross-sectional studyAstrid Chevance0Raphael Gaillard1Oumou Salama Daouda2Laura Temime3Mounia N Hocine4Patrick Légeron5Gilbert Saporta6Service d`épidémologie clinique, APHP, GHU Cochin-Hôtel Dieu, FR-75005, Paris, FranceDepartment of Psychiatry, Service Hospitalo-Universitaire, GHU Paris Psychiatry &Neurosciences, FR-75014, Paris, FranceLaboratoire MESuRS, Conservatoire National des Arts et Métiers, Paris 75003, FranceLaboratoire MESuRS, Conservatoire National des Arts et Métiers, Paris 75003, FranceMESuRS Laboratory, Conservatoire National des Arts et Metiers, Paris, Île-de-France, FranceCentre Hospitalier Sainte Anne, Service Hospitalo-Universitaire de Psychiatrie, Paris, FranceCédric Laboratory, Conservatoire National des Arts et Métiers, Paris, FranceObjectives In modern professional life, mental health prevention and promotion have become a major challenge for decision-makers. Devising appropriate actions requires better understanding the role played by each work-related psychosocial factor (WPSF). The objective of this study was to present a relevant tool to hierarchise WPSFs that jointly takes into account their importance (impact on mental health) and their prevalence (the proportion of the population exposed to WPSF).Design A cross-sectional study was conducted in March 2018 among 3200 French workers which are representative of the French working population.Setting France.Participants Individuals aged 18–80 years who declared currently having a job (even a part-time job) whatever their occupation or status (employee or self-employed) were eligible. We excluded students, unemployed individuals, housewives/husbands and retired people. The mental health level was assessed using the General Health Questionnaire-28 and 44 items were gathered from theoretical models of WPSFs. We assessed two distinct multivariate methods for calculating WPSF importance: (1) weifila (weighted first last) method in a linear regression context and (2) random forests in a non-linear context. Both methods were adjusted on individual, health and job characteristics.Results The WPSF rankings obtained with the two methods to calculate importance are strongly consistent with each other (correlation coefficient=0.88). We highlighted nine WPSFs that are ranked high by both methods. In particular, irrespective of the chosen method, lack of communication, lack of social and hierarchy support and personal–professional life imbalance, emotional demands at work and dissatisfaction with the compensation received came out as top-ranking WPSFs.Conclusions A total of nine WPSFs were identified as key for decision-making. The easy-to-use tools we propose can help decision-makers identify priority WPSFs and design effective strategies to promote mental health in the workplace.https://bmjopen.bmj.com/content/12/12/e046444.full |
| spellingShingle | Astrid Chevance Raphael Gaillard Oumou Salama Daouda Laura Temime Mounia N Hocine Patrick Légeron Gilbert Saporta A new ranking index to identify the work-related psychosocial factors most impacting mental health: a cross-sectional study BMJ Open |
| title | A new ranking index to identify the work-related psychosocial factors most impacting mental health: a cross-sectional study |
| title_full | A new ranking index to identify the work-related psychosocial factors most impacting mental health: a cross-sectional study |
| title_fullStr | A new ranking index to identify the work-related psychosocial factors most impacting mental health: a cross-sectional study |
| title_full_unstemmed | A new ranking index to identify the work-related psychosocial factors most impacting mental health: a cross-sectional study |
| title_short | A new ranking index to identify the work-related psychosocial factors most impacting mental health: a cross-sectional study |
| title_sort | new ranking index to identify the work related psychosocial factors most impacting mental health a cross sectional study |
| url | https://bmjopen.bmj.com/content/12/12/e046444.full |
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