Sanchez Rico Marina, Wiernik Emmanuel, Renuy Adeline, Kab Sofiane, Hoertel Nicolas, Goldberg Marcel, Zins Marie, Meneton Pierre
DMU Psychiatrie et Addictologie, Hôpital Corentin-Celton, Université Paris Cité, AP-HP, Issy-les-Moulineaux, France.
UMR_1266, INSERM, Issy-les-Moulineaux, France.
BMJ Open. 2025 Apr 19;15(4):e096607. doi: 10.1136/bmjopen-2024-096607.
Uncertainty exists as to what extent common risk factors are involved in the associations of unemployment with major health outcomes and mortality.
A retrospective and prospective observational study.
A large population-based French cohort (CONSTANCES).
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.
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.
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.
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.
关于常见风险因素在失业与主要健康结局及死亡率的关联中所起作用的程度,目前尚存在不确定性。
一项回顾性和前瞻性观察性研究。
一个基于法国大量人群的队列研究(CONSTANCES)。
99430名基线时曾经历过失业的成年人,其中54679人在基线后被随访7年。
在7年随访期间,检验基线时几个风险因素在终身失业暴露与心血管疾病、癌症及死亡率关联中的中介作用。使用经主要混杂因素(包括性别、年龄、心血管疾病和癌症家族史、社会地位及工作条件)调整的逻辑回归模型,计算每个风险因素以及所有风险因素共同作用时的直接和间接效应。
吸烟的直接和间接效应估计值(95%置信区间)分别为:对心血管疾病发生率,0.0083(0.0044至0.0122),p<0.0001和0.0010(0.0007至0.0014),p<0.0001;对癌症发生率,0.0059(0.0028至0.0089),p=0.0002和0.0007(0.0004至0.0010),p<0.0001;对全因死亡率,0.0105(0.0058至0.0151),p<0.0001和0.0010(0.0005至0.0014),p<0.0001。饮酒的相应数字分别为:对心血管疾病发生率,0.0076(0.0034至0.0118),p=0.0004和0.0004(0.0002至0.0005),p=0.0006;对癌症发生率,0.0067(0.0035至0.0100),p<0.0001和0.0004(0.0002至0.0005),p<0.0001;对全因死亡率,0.0114(0.0064至0.0164),p<0.0001和0.0004(0.0001至0.0006),p=0.0009。对于抑郁症状,相应数字分别为:对心血管疾病发生率,0.0084(0.0040至0.0128),p=0.0002和0.0007(0.0002至0.0011),p=0.005;对癌症发生率,0.0053(0.0017至0.0089),p=0.004和0.0001(-0.0002至0.0005),p=0.51;对全因死亡率,0.0088(0.0031至0.0144),p=0.002和0.0010(0.0004至0.0015),p=0.0005。对于休闲时间缺乏身体活动,相应数字分别为:对心血管疾病发生率,0.0083(0.0044至0.0122),p<0.0001和0.0003(0.0001至0.0005),p=0.0006;对癌症发生率,0.0057(0.0026至0.0088),p=0.0004和0.0002(0.0001至0.0003),p=0.002;对全因死亡率,0.0105(0.0058至0.0152),p<0.0001和0.0004(0.0002至0.0007),p<0.0001。对于血液甘油三酯,相应数字分别为:对心血管疾病发生率,0.0080(0.0042至0.0119),p<0.0001和0.0005(0.0004至0.0007),p<0.0001;对癌症发生率,0.0057(0.0026至0.0087),p=0.0003和0.0001(-0.0001至0.0002),p=0.32;对全因死亡率,0.0103(0.0057至0.0149),p<0.0001和0.0002(0.0000至0.0004),p=0.06。所有风险因素一起检验时的相应数字分别为:对心血管疾病发生率,0.0075(0.0022至0.0128),p=0.005和0.0020(0.0011至0.0027),p<0.0001;对癌症发生率,0.0052(0.0011至0.0093),p=0.01和0.0015(0.0009至0.0020),p<0.0001;对全因死亡率,0.0102(0.0035至0.0169),p=0.003和0.0022(0.0011至0.0031),p<0.0001。
这些分析表明,吸烟、饮酒、抑郁症状、休闲时间缺乏身体活动和血液甘油三酯等常见风险因素在单独检验时,介导了高达10%的终身失业暴露与心血管疾病、癌症及死亡率的关联,而一起检验时约为20%。这凸显了尚未被识别的其他主要中介途径的存在。