Vineis Paolo, Avendano-Pabon Mauricio, Barros Henrique, Bartley Mel, Carmeli Cristian, Carra Luca, Chadeau-Hyam Marc, Costa Giuseppe, Delpierre Cyrille, D'Errico Angelo, Fraga Silvia, Giles Graham, Goldberg Marcel, Kelly-Irving Michelle, Kivimaki Mika, Lepage Benoit, Lang Thierry, Layte Richard, MacGuire Frances, Mackenbach Johan P, Marmot Michael, McCrory Cathal, Milne Roger L, Muennig Peter, Nusselder Wilma, Petrovic Dusan, Polidoro Silvia, Ricceri Fulvio, Robinson Oliver, Stringhini Silvia, Zins Marie
Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom.
Department of Social Sciences, Health and Medicine, King's College London, London, United Kingdom.
Front Public Health. 2020 May 12;8:118. doi: 10.3389/fpubh.2020.00118. eCollection 2020.
Funded by the European Commission Horizon 2020 programme, the research consortium aimed to investigate the effects of socioeconomic inequalities on the biology of healthy aging. The main research questions included the impact of inequalities on health, the role of behavioral and other risk factors, the underlying biological mechanisms, the efficacy of selected policies, and the general implications of our findings for theories and policies. The project adopted a life-course and comparative approach, considering lifetime effects from childhood and adulthood, and pooled data on up to 1.7 million participants of longitudinal cohort studies from Europe, USA, and Australia. These data showed that socioeconomic circumstances predicted mortality and functional decline as strongly as established risk factors currently targeted by global prevention programmes. Analyses also looked at socioeconomically patterned biological markers, allostatic load, and DNA methylation using richly phenotyped cohorts, unraveling their association with aging processes across the life-course. studies suggest that socioeconomic circumstances are embedded in our biology from the outset-i.e., disadvantage influences biological systems from molecules to organs. Our findings have important implications for policy, suggesting that (a) intervening on unfavorable socioeconomic conditions is complementary and as important as targeting well-known risk factors, such as tobacco and alcohol consumption, low fruit and vegetable intake, obesity and a sedentary lifestyle, and that (b) effects of preventive interventions in early life integrate interventions in adulthood. The report has an executive summary that refers to the different sections of the main paper.
该研究联盟由欧盟“地平线2020”计划资助,旨在调查社会经济不平等对健康老龄化生物学的影响。主要研究问题包括不平等对健康的影响、行为和其他风险因素的作用、潜在的生物学机制、所选政策的有效性以及我们的研究结果对理论和政策的总体影响。该项目采用了生命历程和比较研究方法,考虑了童年和成年期的终身影响,并汇总了来自欧洲、美国和澳大利亚的多达170万纵向队列研究参与者的数据。这些数据表明,社会经济状况对死亡率和功能衰退的预测作用与全球预防计划目前针对的既定风险因素一样强烈。分析还使用了具有丰富表型的队列研究,研究了社会经济模式化的生物标志物、压力负荷和DNA甲基化,揭示了它们与整个生命历程中衰老过程的关联。研究表明,社会经济状况从一开始就融入了我们的生物学——也就是说,劣势会影响从分子到器官的生物系统。我们的研究结果对政策具有重要意义,表明(a)干预不利的社会经济状况是互补的,与针对吸烟、饮酒、水果和蔬菜摄入量低、肥胖和久坐不动的生活方式等众所周知的风险因素同样重要;(b)早期预防干预的效果在成年期干预中得到整合。该报告有一个执行摘要,提及了主要论文的不同部分。