Biomedical Imaging Centre/Radiology, University of Aberdeen, Lilian Sutton Building Foresterhill, Aberdeen AB25 2ZD, UK.
Age Ageing. 2011 Sep;40(5):562-7. doi: 10.1093/ageing/afr065. Epub 2011 Jul 12.
to evaluate the role of childhood intelligence and white matter hyperintensities (WMH) in the prediction of the trajectory of fluid intelligence in healthy old people from age 78 to 81.
observational follow-up study from 1999 to 2002.
a university teaching hospital in Aberdeen, UK.
a total of 106 volunteers born in 1921, with childhood intelligence records at 11, recruited 1997-98 to a follow-up study.
participants underwent brain MRI in 1999-2000, to obtain measurements of brain WMH using Scheltens' scale and a test of fluid intelligence (Raven's Progressive Matrices) on three occasions between 1999 and 2002.
in a latent growth model, we found a significant association between childhood intelligence and the intercept, but not the slope, of fluid cognitive ability in late adulthood. Similarly, baseline WMH score was associated with the intercept of late life cognitive ability, but not the slope. Age at imaging was associated with slope but not intercept. There was no significant association between sex and intercept or slope of late life cognitive ability.
results suggest that brain MRI measures of WMH (attributed to cerebrovascular disease) and childhood intelligence significantly contribute to late life fluid cognitive ability but not to the trajectory of age-related change in fluid intelligence. We also show that age is associated with the cognitive trajectory from 78 to 81 years, even within our narrow age range sample. This may be a consequence of the recruitment pattern, with those having greater WMH burden, and who subsequently declined, being recruited later in the study.
评估儿童智力和脑白质高信号(WMH)在预测健康老年人从 78 岁到 81 岁之间流体智力轨迹中的作用。
1999 年至 2002 年的观察性随访研究。
英国阿伯丁大学教学医院。
共有 106 名志愿者出生于 1921 年,1997-98 年在一项随访研究中招募了具有 11 岁儿童智力记录的志愿者。
1999-2000 年参与者接受脑部 MRI 检查,使用 Scheltens 量表测量脑 WMH,并在 1999 年至 2002 年期间进行了三次流体智力测试(Raven 的渐进矩阵)。
在潜在增长模型中,我们发现儿童智力与流体认知能力的截距呈显著正相关,但与成年后期的斜率无关。同样,基线 WMH 评分与认知能力的截距呈正相关,但与斜率无关。成像时的年龄与斜率有关,但与截距无关。性别与老年认知能力的截距或斜率之间没有显著的关联。
结果表明,脑 MRI 测量的 WMH(归因于脑血管疾病)和儿童智力对老年流体认知能力有显著贡献,但对流体智力随年龄变化的轨迹没有贡献。我们还表明,年龄与 78 至 81 岁之间的认知轨迹有关,即使在我们的窄年龄范围样本中也是如此。这可能是由于招募模式的原因,那些具有更大的 WMH 负担的人,以及随后下降的人,在研究中被招募得更晚。