Medical School, The University of Edinburgh, Edinburgh, UK.
Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, London, UK.
J Epidemiol Community Health. 2020 Apr;74(4):377-383. doi: 10.1136/jech-2019-213462. Epub 2020 Jan 28.
To investigate whether people with more positive attitudes to ageing are biologically younger as defined by leucocyte telomere length, accelerated DNA methylation GrimAge (AgeAccelGrim) and brain-predicted age difference, and whether these biomarkers explain relationships between attitudes to ageing and mortality.
We used linear regression to examine cross-sectionally attitudes to ageing (measured using the Attitudes to Ageing Questionnaire) and the three biomarkers in 758 adults, mean age 72.5 years, from the Lothian Birth Cohort 1936. We used Cox proportional hazards models to examine longitudinally attitudes to ageing and mortality and the role of the biomarkers.
More positive attitude to physical change was associated with younger biological age, as measured by AgeAccelGrim and brain-predicted age difference in age-adjusted and sex-adjusted models: for an SD higher score, AgeAccelGrim was lower by -0.73 (95% CI -1.03 to -0.42) of a year, and brain-predicted age difference was lower by -0.87 (1.51 to 0.23) of a year. Both associations were attenuated by adjustment for covariates and not significant after simultaneous adjustment for all covariates and correction for multiple testing. More positive attitudes to physical change were associated with lower mortality: for an SD higher score the age-adjusted and sex-adjusted HR (95% CI) was 0.66 (0.56 to 0.78). Adjustment for AgeAccelGrim or brain-predicted age difference attenuated this association slightly. It remained significant after adjustment for all covariates.
We found partial evidence that attitudes to ageing are linked with ageing biomarkers but they accounted for only a little of the association between attitudes and mortality.
探究人们对衰老的积极态度是否与白细胞端粒长度、加速 DNA 甲基化 GrimAge（AgeAccelGrim）和大脑预测年龄差异所定义的生物学年龄更年轻有关，以及这些生物标志物是否可以解释对衰老的态度与死亡率之间的关系。
我们使用线性回归分析了 758 名平均年龄为 72.5 岁的洛锡安出生队列 1936 年成年人的态度（使用衰老态度问卷测量）和三个生物标志物之间的关系。我们使用 Cox 比例风险模型检查了态度和死亡率的纵向关系以及生物标志物的作用。
更积极的身体变化态度与更年轻的生物学年龄相关，AgeAccelGrim 和大脑预测年龄差异在年龄和性别调整模型中衡量：SD 得分每增加一分，AgeAccelGrim 降低 0.73 岁（95%CI-1.03 至-0.42），大脑预测年龄差异降低 0.87 岁（1.51 至 0.23）。这两个关联在调整协变量后减弱，并且在同时调整所有协变量和校正多重检验后不再显著。更积极的身体变化态度与死亡率降低相关：SD 得分每增加一分，年龄和性别调整后的 HR（95%CI）为 0.66（0.56 至 0.78）。调整 AgeAccelGrim 或大脑预测年龄差异后，这种关联略有减弱。在调整所有协变量后，该关联仍然显著。
我们发现了一些证据表明对衰老的态度与衰老生物标志物有关，但它们只解释了态度与死亡率之间关联的一小部分。
