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实足年龄与脑年龄之间的差异与教育程度和自我报告的身体活动有关。

Differences between chronological and brain age are related to education and self-reported physical activity.

作者信息

Steffener Jason, Habeck Christian, O'Shea Deirdre, Razlighi Qolamreza, Bherer Louis, Stern Yaakov

机构信息

PERFORM Centre, Concordia University, Montreal, Québec, Canada; Centre de Recherche de l'Institut de Gériatrie de Montréal, Montréal, Québec, Canada; Department of Psychology, Concordia University, Montreal, Québec, Canada.

Cognitive Neuroscience Division, Department of Neurology and Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University College of Physicians and Surgeons, New York, NY, USA.

出版信息

Neurobiol Aging. 2016 Apr;40:138-144. doi: 10.1016/j.neurobiolaging.2016.01.014. Epub 2016 Feb 1.

Abstract

This study investigated the relationship between education and physical activity and the difference between a physiological prediction of age and chronological age (CA). Cortical and subcortical gray matter regional volumes were calculated from 331 healthy adults (range: 19-79 years). Multivariate analyses identified a covariance pattern of brain volumes best predicting CA (R(2) = 47%). Individual expression of this brain pattern served as a physiologic measure of brain age (BA). The difference between CA and BA was predicted by education and self-report measures of physical activity. Education and the daily number of flights of stairs climbed (FOSC) were the only 2 significant predictors of decreased BA. Effect sizes demonstrated that BA decreased by 0.95 years for each year of education and by 0.58 years for 1 additional FOSC daily. Effects of education and FOSC on regional brain volume were largely driven by temporal and subcortical volumes. These results demonstrate that higher levels of education and daily FOSC are related to larger brain volume than predicted by CA which supports the utility of regional gray matter volume as a biomarker of healthy brain aging.

摘要

本研究调查了教育与身体活动之间的关系,以及生理年龄预测值与实际年龄(CA)之间的差异。从331名健康成年人(年龄范围:19 - 79岁)中计算出皮质和皮质下灰质区域体积。多变量分析确定了最能预测实际年龄的脑容量协方差模式(R² = 47%)。这种脑模式的个体表达作为脑年龄(BA)的生理指标。实际年龄与脑年龄之间的差异可通过教育程度和身体活动的自我报告指标来预测。教育程度和每天爬楼梯的次数(FOSC)是脑年龄降低的仅有的两个显著预测因素。效应量表明,受教育年限每增加一年,脑年龄降低0.95岁,每天多爬一次楼梯,脑年龄降低0.58岁。教育程度和爬楼梯次数对区域脑容量的影响主要由颞叶和皮质下体积驱动。这些结果表明,较高的教育水平和每天爬楼梯的次数与比实际年龄预测值更大的脑容量相关,这支持了区域灰质体积作为健康脑老化生物标志物的效用。

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