Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.
Pingyin Center for Disease Control and Prevention, No. 67 Dongguan Street, Pingyin, Jinan, China.
J Affect Disord. 2024 Sep 1;360:394-402. doi: 10.1016/j.jad.2024.06.008. Epub 2024 Jun 4.
To examine the associations of Life's Essential 8 (LE8) and its predictive performance with mild cognitive impairment (MCI), dementia and brain MRI indices.
We used cohort data from UK Biobank. LE8 was categorized into low (<50 score), moderate (50-79 score), and high (≥80 score) levels. Cox regression models considering death as a competing risk were used to estimate the hazard ratios (HRs) and 95%CI on the association between LE8 and MCI and dementia. Multivariable linear regression models were used to analyze LE8 every 10-score increase and brain MRI indices. Area under the curve (AUC) was used to measure the predictive performances of LE8.
We included 126,785 participants with a mean (SD) age of 56.0 (8.0) years and 53.5 % were female. The median follow-up was 13.0 years. Compared to individuals with a low LE8 score, those with a high LE8 score were associated with decreased risk of MCI (0.49, 95%CI: 0.40-0.62), all-cause dementia (0.60, 0.44-0.80), vascular dementia (VD, 0.44, 0.21-0.94), and non-Alzheimer non-vascular dementia (NAVD, 0.55, 0.35-0.84). High LE8 score was associated with increased total brain volume, hippocampus volume, grey matter volume, and grey matter in hippocampus volume (p all ≤0.001). LE8 combined age and sex had good performance for predicting all-cause dementia (AUC: 84.1 %), AD (85.4 %), VD (87.6 %), NAVD (81.4 %), and MCI (75.3 %).
Our findings only reflect the characteristics of UKB participants.
High LE8 score was associated with reduced risk of MCI and dementia. It was also linked to brain MRI indices. LE8 score had good predicting performance for future risk of MCI and dementia.
本研究旨在探讨生活的基本要素 8(LE8)及其预测性能与轻度认知障碍(MCI)、痴呆和脑 MRI 指标之间的关联。
我们使用了英国生物库的队列数据。LE8 分为低(<50 分)、中(50-79 分)和高(≥80 分)水平。使用考虑死亡为竞争风险的 Cox 回归模型来估计 LE8 与 MCI 和痴呆之间的关联的风险比(HR)和 95%CI。使用多变量线性回归模型来分析 LE8 每增加 10 分与脑 MRI 指标的关系。曲线下面积(AUC)用于衡量 LE8 的预测性能。
我们纳入了 126785 名参与者,平均(SD)年龄为 56.0(8.0)岁,53.5%为女性。中位随访时间为 13.0 年。与 LE8 得分较低的个体相比,LE8 得分较高的个体发生 MCI 的风险降低(0.49,95%CI:0.40-0.62)、全因痴呆(0.60,0.44-0.80)、血管性痴呆(VD,0.44,0.21-0.94)和非阿尔茨海默病非血管性痴呆(NAVD,0.55,0.35-0.84)的风险降低。高 LE8 得分与总脑容量、海马体体积、灰质体积和海马体灰质体积增加相关(p 均<0.001)。LE8 结合年龄和性别对全因痴呆(AUC:84.1%)、AD(85.4%)、VD(87.6%)、NAVD(81.4%)和 MCI(75.3%)的预测性能良好。
我们的研究结果仅反映了 UKB 参与者的特征。
高 LE8 得分与 MCI 和痴呆的风险降低相关。它还与脑 MRI 指标有关。LE8 得分对未来发生 MCI 和痴呆的风险具有良好的预测性能。