Involvement of common risk factors in the associations between lifetime unemployment exposure, major health outcomes and mortality: a retrospective and prospective study in a large population-based French cohort
Objectives Uncertainty exists as to what extent common risk factors are involved in the associations of unemployment with major health outcomes and mortality.Design A retrospective and prospective observational study.Setting A large population-based French cohort (CONSTANCES).Participants 99 430 adu...
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BMJ Publishing Group
2025-04-01
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| Series: | BMJ Open |
| Online Access: | https://bmjopen.bmj.com/content/15/4/e096607.full |
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| author | Marcel Goldberg Marie Zins Sofiane Kab Nicolas Hoertel Emmanuel Wiernik Marina Sanchez Rico Pierre Meneton Adeline Renuy |
| author_facet | Marcel Goldberg Marie Zins Sofiane Kab Nicolas Hoertel Emmanuel Wiernik Marina Sanchez Rico Pierre Meneton Adeline Renuy |
| author_sort | Marcel Goldberg |
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| description | Objectives Uncertainty exists as to what extent common risk factors are involved in the associations of unemployment with major health outcomes and mortality.Design A retrospective and prospective observational study.Setting A large population-based French cohort (CONSTANCES).Participants 99 430 adults at baseline who have been exposed to unemployment during their lifetime and 54 679 of them who were followed for 7 years after baseline.Primary outcome measures Testing the mediating roles of several risk factors at baseline in the associations of lifetime unemployment exposure with cardiovascular disease, cancer and mortality rates during a 7-year follow-up. Direct and indirect effects were calculated for each risk factor and all together using logistic regression models adjusted for major confounders including sex, age, parental histories of cardiovascular disease and cancer, social position and working conditions.Results Estimates (95% CIs) of the direct and indirect effects for smoking are 0.0083 (0.0044 to 0.0122), p<0.0001 and 0.0010 (0.0007 to 0.0014), p<0.0001 on cardiovascular disease rate; 0.0059 (0.0028 to 0.0089), p=0.0002 and 0.0007 (0.0004 to 0.0010), p<0.0001 on cancer rate; 0.0105 (0.0058 to 0.0151), p<0.0001 and 0.0010 (0.0005 to 0.0014), p<0.0001 on all-cause mortality. The figures for alcohol consumption are, respectively, 0.0076 (0.0034 to 0.0118), p=0.0004 and 0.0004 (0.0002 to 0.0005), p=0.0006; 0.0067 (0.0035 to 0.0100), p<0.0001 and 0.0004 (0.0002 to 0.0005), p<0.0001; 0.0114 (0.0064 to 0.0164), p<0.0001 and 0.0004 (0.0001 to 0.0006), p=0.0009. For depressive symptoms, 0.0084 (0.0040to 0.0128), p=0.0002 and 0.0007 (0.0002 to 0.0011), p=0.005; 0.0053 (0.0017 to 0.0089), p=0.004 and 0.0001 (−0.0002 to 0.0005), p=0.51; 0.0088 (0.0031 to 0.0144), p=0.002 and 0.0010 (0.0004 to 0.0015), p=0.0005. For leisure-time physical inactivity, 0.0083 (0.0044 to 0.0122), p<0.0001 and 0.0003 (0.0001 to 0.0005), p=0.0006; 0.0057 (0.0026 to 0.0088), p=0.0004 and 0.0002 (0.0001 to 0.0003), p=0.002; 0.0105 (0.0058 to 0.0152), p<0.0001 and 0.0004 (0.0002 to 0.0007), p<0.0001. For blood triglycerides, 0.0080 (0.0042 to 0.0119), p<0.0001 and 0.0005 (0.0004 to 0.0007), p<0.0001; 0.0057 (0.0026 to 0.0087), p=0.0003 and 0.0001 (−0.0001 to 0.0002), p=0.32; 0.0103 (0.0057 to 0.0149), p<0.0001 and 0.0002 (0.0000 to 0.0004), p=0.06. The figures for all risk factors when tested together were 0.0075 (0.0022 to 0.0128), p=0.005 and 0.0020 (0.0011 to 0.0027), p<0.0001; 0.0052 (0.0011 to 0.0093), p=0.01 and 0.015 (0.0009 to 0.0020), p<0.0001; 0.0102 (0.0035 to 0.0169), p=0.003 and 0.0022 (0.0011 to 0.0031), p<0.0001.Conclusions These analyses show that common risk factors such as smoking, alcohol consumption, depressive symptoms, leisure-time physical inactivity and blood triglycerides mediate up to 10% of the associations of lifetime unemployment exposure with cardiovascular disease, cancer and mortality rates when tested separately and approximately 20% when tested all together. This highlights the existence of other major mediating pathways that have yet to be identified. |
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| institution | OA Journals |
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| language | English |
| publishDate | 2025-04-01 |
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| spelling | doaj-art-e97276b61a9a4a6995f1d102e9e763f32025-08-20T02:13:40ZengBMJ Publishing GroupBMJ Open2044-60552025-04-0115410.1136/bmjopen-2024-096607Involvement of common risk factors in the associations between lifetime unemployment exposure, major health outcomes and mortality: a retrospective and prospective study in a large population-based French cohortMarcel Goldberg0Marie Zins1Sofiane Kab2Nicolas Hoertel3Emmanuel Wiernik4Marina Sanchez Rico5Pierre Meneton6Adeline Renuy7UMS 011, Population-based Epidemiological Cohorts, INSERM, Villejuif, FranceUniversité de Versailles Saint-Quentin-en-Yvelines, Versailles, France1 Population-based Cohorts Unit, Paris Saclay University, Paris, FranceUMR_1266, INSERM, Issy-les-Moulineaux, France1 Population-based Cohorts Unit, Paris Saclay University, Paris, FranceDMU Psychiatrie et Addictologie, Hôpital Corentin-Celton, AP-HP, Issy-les-Moulineaux, FranceINSERM U1142 LIMICS, UMRS 1142, Sorbonne Universities, UPMC University of Paris 06, University of Paris 13, Paris, FranceUMS_011, INSERM, Villejuif, FranceObjectives Uncertainty exists as to what extent common risk factors are involved in the associations of unemployment with major health outcomes and mortality.Design A retrospective and prospective observational study.Setting A large population-based French cohort (CONSTANCES).Participants 99 430 adults at baseline who have been exposed to unemployment during their lifetime and 54 679 of them who were followed for 7 years after baseline.Primary outcome measures Testing the mediating roles of several risk factors at baseline in the associations of lifetime unemployment exposure with cardiovascular disease, cancer and mortality rates during a 7-year follow-up. Direct and indirect effects were calculated for each risk factor and all together using logistic regression models adjusted for major confounders including sex, age, parental histories of cardiovascular disease and cancer, social position and working conditions.Results Estimates (95% CIs) of the direct and indirect effects for smoking are 0.0083 (0.0044 to 0.0122), p<0.0001 and 0.0010 (0.0007 to 0.0014), p<0.0001 on cardiovascular disease rate; 0.0059 (0.0028 to 0.0089), p=0.0002 and 0.0007 (0.0004 to 0.0010), p<0.0001 on cancer rate; 0.0105 (0.0058 to 0.0151), p<0.0001 and 0.0010 (0.0005 to 0.0014), p<0.0001 on all-cause mortality. The figures for alcohol consumption are, respectively, 0.0076 (0.0034 to 0.0118), p=0.0004 and 0.0004 (0.0002 to 0.0005), p=0.0006; 0.0067 (0.0035 to 0.0100), p<0.0001 and 0.0004 (0.0002 to 0.0005), p<0.0001; 0.0114 (0.0064 to 0.0164), p<0.0001 and 0.0004 (0.0001 to 0.0006), p=0.0009. For depressive symptoms, 0.0084 (0.0040to 0.0128), p=0.0002 and 0.0007 (0.0002 to 0.0011), p=0.005; 0.0053 (0.0017 to 0.0089), p=0.004 and 0.0001 (−0.0002 to 0.0005), p=0.51; 0.0088 (0.0031 to 0.0144), p=0.002 and 0.0010 (0.0004 to 0.0015), p=0.0005. For leisure-time physical inactivity, 0.0083 (0.0044 to 0.0122), p<0.0001 and 0.0003 (0.0001 to 0.0005), p=0.0006; 0.0057 (0.0026 to 0.0088), p=0.0004 and 0.0002 (0.0001 to 0.0003), p=0.002; 0.0105 (0.0058 to 0.0152), p<0.0001 and 0.0004 (0.0002 to 0.0007), p<0.0001. For blood triglycerides, 0.0080 (0.0042 to 0.0119), p<0.0001 and 0.0005 (0.0004 to 0.0007), p<0.0001; 0.0057 (0.0026 to 0.0087), p=0.0003 and 0.0001 (−0.0001 to 0.0002), p=0.32; 0.0103 (0.0057 to 0.0149), p<0.0001 and 0.0002 (0.0000 to 0.0004), p=0.06. The figures for all risk factors when tested together were 0.0075 (0.0022 to 0.0128), p=0.005 and 0.0020 (0.0011 to 0.0027), p<0.0001; 0.0052 (0.0011 to 0.0093), p=0.01 and 0.015 (0.0009 to 0.0020), p<0.0001; 0.0102 (0.0035 to 0.0169), p=0.003 and 0.0022 (0.0011 to 0.0031), p<0.0001.Conclusions These analyses show that common risk factors such as smoking, alcohol consumption, depressive symptoms, leisure-time physical inactivity and blood triglycerides mediate up to 10% of the associations of lifetime unemployment exposure with cardiovascular disease, cancer and mortality rates when tested separately and approximately 20% when tested all together. This highlights the existence of other major mediating pathways that have yet to be identified.https://bmjopen.bmj.com/content/15/4/e096607.full |
| spellingShingle | Marcel Goldberg Marie Zins Sofiane Kab Nicolas Hoertel Emmanuel Wiernik Marina Sanchez Rico Pierre Meneton Adeline Renuy Involvement of common risk factors in the associations between lifetime unemployment exposure, major health outcomes and mortality: a retrospective and prospective study in a large population-based French cohort BMJ Open |
| title | Involvement of common risk factors in the associations between lifetime unemployment exposure, major health outcomes and mortality: a retrospective and prospective study in a large population-based French cohort |
| title_full | Involvement of common risk factors in the associations between lifetime unemployment exposure, major health outcomes and mortality: a retrospective and prospective study in a large population-based French cohort |
| title_fullStr | Involvement of common risk factors in the associations between lifetime unemployment exposure, major health outcomes and mortality: a retrospective and prospective study in a large population-based French cohort |
| title_full_unstemmed | Involvement of common risk factors in the associations between lifetime unemployment exposure, major health outcomes and mortality: a retrospective and prospective study in a large population-based French cohort |
| title_short | Involvement of common risk factors in the associations between lifetime unemployment exposure, major health outcomes and mortality: a retrospective and prospective study in a large population-based French cohort |
| title_sort | involvement of common risk factors in the associations between lifetime unemployment exposure major health outcomes and mortality a retrospective and prospective study in a large population based french cohort |
| url | https://bmjopen.bmj.com/content/15/4/e096607.full |
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