具有文化和地理差异的队列中血管风险因素与认知之间的协变模式

IF 1.9 Q3 CLINICAL NEUROLOGY Cerebral circulation - cognition and behavior Pub Date : 2024-01-01 DOI:10.1016/j.cccb.2024.100296
Bonnie Yin Ka Lam , Vincent Hui , Huijing Zheng , Yuan Cai , Ludovica Griffanti , Sana Suri , Klaus P. Ebmeier , Thomas E. Nichols , Vincent C.T. Mok , Heidi Johansen-Berg , Piergiorgio Salvan
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引用次数: 0

摘要

导言:全球痴呆症患者人数不断增加。制定和实施全球适用的预防策略至关重要。然而,以往的研究大多局限于地域和文化相同的人群。研究方法回顾性分析了 6 个具有文化和地理差异的社区居民队列(60 岁以上)的数据(英国人 = 536;香港华人 = 494;澳大利亚人 = 302;新加坡华人 = 108;德国人 = 102;瑞典人 = 94)。对所有 6 个队列的临床人口统计学、VRFs、纵向认知变化和 MRI 数据(包括 T1、FLAIR 和弥散图像)进行了分析。首先,在所有队列中,使用大规范相关分析(n=1636)来确定人口统计学和 VRFs(一侧)与认知变化(另一侧)之间的共同协变模式。其次,对每个队列分别进行中介分析,研究归一化灰质总量、微结构完整性、白质高密度和海马结构网络在上述关联中的中介作用。结果我们在所有队列中发现了痴呆风险与认知之间的三种协变模式(p< 0.01)。最强的模式是年龄越小、受教育程度越高,基线和随访时的认知能力越好(图 1)。Meta 分析表明,在各队列中,经过 Bonferroni 校正后,归一化灰质总体积(间接效应 = 0.02,Z = 3.13,p < 0.001,I² = 0%)是人口统计学、VRFs 和认知能力下降之间的重要中介因素(图 2)。海马结构网络未能通过 Bonferroni 相关性分析,而其他大脑介导因素在元分析中也不显著。 讨论 本研究调查了人口统计学、VRFs、大脑健康和认知之间的复杂关系。具有文化和人口统计学差异的队列在年龄、教育和认知之间有着共同的关系。然而,在不同神经影像指标的贡献方面,发现了个体队列差异。
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Modes of covariation between vascular risk factors and cognition in cohorts with cultural and geographical variations

Introduction

The number of people living with dementia worldwide is growing. Devising and implementing preventive strategies that are globally applicable is of paramount importance. However, previous studies have largely been limited to cohorts that are geographically and culturally homogenous. It is not known whether the associations between demographics, vascular risk factors (VRFs), and cognitive changes are consistent across cohorts with cultural and geographical variations.

Methods

Data were analysed retrospectively from 6 community-dwelling cohorts (> 60 years old) with cultural and geographical variations (British = 536; Hong Kong Chinese = 494; Australian = 302; Singaporean Chinese = 108; German = 102; Swedish = 94). Clinical demographics, VRFs, longitudinal cognitive changes, and MRI data (including T1, FLAIR, and diffusion images) were analysed from all 6 cohorts. First, across all cohorts, a grand canonical correlation analysis (n=1636) was used to establish common modes of covariation between demographics and VRFs on one side, and cognitive changes on the other side. Second, separately for each cohort, mediation analysis was used to investigate the mediating role of normalised total grey matter volume, microstructural integrity, white matter hyperintensity, and hippocampal structural network in the association mentioned above. Then the mediation outputs will be used in the meta- analysis to assess the indirect effect estimates and variance of each significant brain mediator.

Results

We identified three modes of covariation between dementia risk and cognition across all cohorts (p< 0.01). The strongest mode linked younger age and higher levels of education with better cognition at baseline and follow-up (Figure 1). Meta-analysis showed that, across cohorts, normalised total grey matter volume (Indirect effect = 0.02, Z = 3.13, p < 0.001, I² = 0%) was a significant mediator between demographics, VRFs, and cognitive decline after Bonferroni correction (Figure 2). The hippocampal structural network did not survive Bonferroni correlation while other brain mediators were not significant in the meta-analyses.

Discussion

This study investigated the complex relationship between demographics, VRFs, brain health, and cognition. Cohorts with cultural and demographic variations shared a common relationship between age, education, and cognition. However, individual cohort differences are detected in the contribution of different neuroimaging metrics.

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来源期刊
Cerebral circulation - cognition and behavior
Cerebral circulation - cognition and behavior Neurology, Clinical Neurology
CiteScore
2.00
自引率
0.00%
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0
审稿时长
14 weeks
期刊最新文献
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