Social disadvantage accelerates the ageing process

Statistical code

Table S1. Characteristics of participants by cohort

Table S2. List of hallmark-related diseases

Table S3. Associations between indicators of social disadvantage and specific ARDs in UK Biobank and FPS

Table S4. Associations of indicators of social disadvantage with hallmark-specific ARDs at follow-up in participants without hallmark-related diseases at baseline in UK Biobank and FPS

Table S5. Associations of indicators of social disadvantage with hallmark-specific ARDs at follow-up in participants without hallmark-related diseases at baseline in UK Biobank and FPS by sex

Table S6. Associations of indicators of social disadvantage with hallmark-specific ARDs at follow-up in participants without hallmark-related diseases at baseline in UK Biobank and FPS – A Fine & Gray analysis corrected for competing risk of death

Table S7. Number of hallmark-specific ARDs per 100 by ages 55 and 70 by level of social disadvantage (absolute risk) in UK Biobank and FPS

Table S8. Rate of hallmark-related diseases by ages 55 and 70 by level of social disadvantage (relative risk) in UK Biobank and FPS

Table S9. The rate per 100 per 10 years for health transitions in hallmark-specific ARDs by level of social disadvantage in UK Biobank

Table S10. The rate per 100 per 10 years for health transitions in hallmark-specific ARDs by level of social disadvantage in FPS

Table S11. A multivariate model for the independent associations of education and adult SES with hallmark-specific ARDs in UK Biobank

Table S12. Test of health-related selection (reverse causality) hypothesis in FPS

Table S13. Associations of social disadvantage with hallmark-specific ARDs at follow-up in participants without hallmark-specific ARDs at baseline in the Whitehall study

Table S14. List of proteins included signatures of organ-specific and non-organ-specific (organismal) ageing (Source: Oh, H. et al Nat 2023;624:164-172)

Table S15. Associations of social disadvantage with proteomic signatures of organ-specific and organismal ageing in the Whitehall study

Table S16. Proteomic organ-specific age gaps as mediators for social disadvantage-hallmark-specific ARD associations in the Whitehall study

Table S17. Search terms for proteins related to hallmarks of ageing in SomaScan assay (Human Protein Atlas)

Table S18. List of single age-related proteins in the Whitehall study

Table S19. Associations of social disadvantage with 14 proteins (A) and hallmark-specific ARDs (B) in the Whitehall study

Table S20. Associations of social disadvantage with all-cause mortality in the Whitehall study

Table S21. Association of 14 plasma proteins with hallmark-specific ARDs in the Whitehall study

Table S22. Association of 14 plasma proteins with hallmark-specific ARDs by sex in the Whitehall study

Table S23. 14 socially-patterned proteins as mediators for the education-hallmark-specific ARD associations in the Whitehall study

Table S24. 14 socially-patterned proteins as mediators for the adult SES-hallmark-specific ARD associations in the Whitehall study

Table S25. Levels of proteins by change in social disadvantage between early to later life in the Whitehall study

Table S26. Levels of proteins by life course social standing score in the Whitehall study

Table S27: Characteristics of ARIC participants at visit 2 (1990-1992)

Table S28: Characteristics of ARIC participants at visit 5 (2011-2013)

Table S29. Associations of social disadvantage with age-related proteins and mortality in middle-aged ARIC participants

Table S30. Associations of social disadvantage with age-related proteins and mortality in older ARIC participants

Table S31. Age-, sex-, ethnicity and genetic score-adjusted associations of social disadvantage with hallmark-specific ARDs at follow-up in participants without hallmark-specific ARD at baseline in UK Biobank

Table S32. Age-, sex-, ethnicity and genetic score-adjusted associations of social disadvantage with hallmark-specific ARDs at follow-up in participants without hallmark-specific ARD at baseline in the Whitehall study

Table S33. Age-, sex-, ethnicity and genetic score-adjusted associations between social disadvantage and 14 proteins in the Whitehall study

Table S34. Age-, sex-, ethnicity and genetic score-adjusted association between 14 plasma proteins and hallmark-specific ARDs in the Whitehall study

统计代码
表S1 按队列划分的研究对象特征
表S2 衰老特征相关疾病列表
表S3 英国生物银行（UK Biobank）与FPS队列中社会劣势指标与特定年龄相关疾病（age-related diseases, ARD）的关联分析
表S4 英国生物银行与FPS队列中，基线无衰老特征相关疾病的研究对象随访阶段社会劣势指标与衰老特征特异性ARDs的关联分析
表S5 按性别分层的英国生物银行与FPS队列中，基线无衰老特征相关疾病的研究对象随访阶段社会劣势指标与衰老特征特异性ARDs的关联分析
表S6 英国生物银行与FPS队列中，基线无衰老特征相关疾病的研究对象随访阶段社会劣势指标与衰老特征特异性ARDs的关联分析——校正死亡竞争风险的Fine-Gray模型分析
表S7 英国生物银行与FPS队列中，按社会劣势分层、55岁及70岁时每百人中衰老特征特异性ARDs的发生例数（绝对风险）
表S8 英国生物银行与FPS队列中，按社会劣势分层、55岁及70岁时衰老特征相关疾病的发生率（相对风险）
表S9 英国生物银行中，按社会劣势分层的衰老特征特异性ARDs健康转归每10年每百人发生率
表S10 FPS队列中，按社会劣势分层的衰老特征特异性ARDs健康转归每10年每百人发生率
表S11 英国生物银行中教育程度与成年社会经济地位（socioeconomic status, SES）对衰老特征特异性ARDs独立影响的多因素模型分析
表S12 FPS队列中健康选择（反向因果）假说的验证分析
表S13 白厅研究中，基线无衰老特征特异性ARDs的研究对象随访阶段社会劣势指标与该类疾病的关联分析
表S14 器官特异性与非器官特异性（机体整体）衰老特征所包含的蛋白质列表（来源：Oh, H.等，《自然》（Nature）2023;624:164-172）
表S15 白厅研究中社会劣势指标与器官特异性及机体整体衰老蛋白质组特征的关联分析
表S16 蛋白质组学层面器官特异性年龄差异作为中介变量在白厅研究中关联社会劣势与衰老特征特异性ARDs的分析
表S17 SomaScan检测技术（人类蛋白质图谱，Human Protein Atlas）中与衰老特征相关的蛋白质检索词列表
表S18 白厅研究中单一年龄相关蛋白质列表
表S19 白厅研究中社会劣势指标与14种蛋白质（A）及衰老特征特异性ARDs（B）的关联分析
表S20 白厅研究中社会劣势指标与全因死亡率的关联分析
表S21 白厅研究中14种血浆蛋白质与衰老特征特异性ARDs的关联分析
表S22 按性别分层的白厅研究中14种血浆蛋白质与衰老特征特异性ARDs的关联分析
表S23 14种社会模式相关蛋白质作为中介变量在白厅研究中关联教育程度与衰老特征特异性ARDs的分析
表S24 14种社会模式相关蛋白质作为中介变量在白厅研究中关联成年社会经济地位与衰老特征特异性ARDs的分析
表S25 白厅研究中按生命早期至晚期社会劣势变化分层的蛋白质表达水平
表S26 白厅研究中按生命历程社会地位评分分层的蛋白质表达水平
表S27 动脉粥样硬化风险社区研究（ARIC）第2次随访（1990-1992年）研究对象的特征
表S28 动脉粥样硬化风险社区研究（ARIC）第5次随访（2011-2013年）研究对象的特征
表S29 动脉粥样硬化风险社区研究中年长参与者社会劣势指标与年龄相关蛋白质及死亡率的关联分析
表S30 动脉粥样硬化风险社区研究老年参与者社会劣势指标与年龄相关蛋白质及死亡率的关联分析
表S31 英国生物银行中，基线无衰老特征特异性ARDs的研究对象随访阶段，经年龄、性别、种族及遗传评分校正后的社会劣势指标与该类疾病的关联分析
表S32 白厅研究中，基线无衰老特征特异性ARDs的研究对象随访阶段，经年龄、性别、种族及遗传评分校正后的社会劣势指标与该类疾病的关联分析
表S33 白厅研究中经年龄、性别、种族及遗传评分校正后的社会劣势指标与14种蛋白质的关联分析
表S34 白厅研究中经年龄、性别、种族及遗传评分校正后的14种血浆蛋白质与衰老特征特异性ARDs的关联分析