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探究解释印度老年人白质高信号负荷的因素。

Investigating the factors that explain white matter hyperintensity load in older Indians.

作者信息

Aksman Leon, Lynch Kirsten, Toga Arthur, Dey Aparajit Ballav, Lee Jinkook

机构信息

Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.

Geriatric Medicine, All India Institute of Medical Sciences, New Delhi, Delhi 110029, India.

出版信息

Brain Commun. 2023 Jan 18;5(1):fcad008. doi: 10.1093/braincomms/fcad008. eCollection 2023.

Abstract

White matter hyperintensities are areas of hyperintense signal on MRI that typically represent cerebrovascular pathology. While focal white matter hyperintensities are common among older individuals, extensive white matter hyperintensities have been found to accelerate the progression of dementia. However, little is currently known about how various socioeconomic, health, lifestyle and environmental factors affect the severity of these lesions, particularly in low- and middle-income countries such as India. We investigated this question using cross-sectional MRI data ( = 126) from a pilot neuroimaging sub-study of an ongoing, nationally representative epidemiological study of late-life cognition in India. As a screening step, we estimated white matter hyperintensity load from fluid-attenuated inversion recovery MRI using a fully automated technique and tested for associations with each factor separately, controlling for age, sex and estimated total intracranial volume in each case. A combined model of white matter hyperintensity load included five factors which were significant after multiple comparisons correction: systolic blood pressure, body mass index, urbanicity status (urban versus rural living), daily chore hours and the frequency of store trips. This model explained an additional 27% of the variance in white matter hyperintensity load (54 versus 27% for the baseline model with only age, sex and estimated total intracranial volume). We accounted for the possibility of reverse causality by additionally controlling for concurrent markers of neurodegeneration and cognitive impairment, with no substantial change in our findings. Overall, our findings suggest that controlling high blood pressure and maintaining both a healthy body mass index and high levels of physical activity may reduce white matter hyperintensity load in older Indian adults, helping to prevent or delay dementia.

摘要

脑白质高信号是磁共振成像(MRI)上的高信号区域,通常代表脑血管病变。虽然局灶性脑白质高信号在老年人中很常见,但广泛的脑白质高信号已被发现会加速痴呆症的进展。然而,目前对于各种社会经济、健康、生活方式和环境因素如何影响这些病变的严重程度知之甚少,尤其是在印度等低收入和中等收入国家。我们使用来自印度一项正在进行的、具有全国代表性的晚年认知流行病学研究的试点神经影像学子研究的横断面MRI数据(n = 126)来调查这个问题。作为筛选步骤,我们使用全自动技术从液体衰减反转恢复MRI估计脑白质高信号负荷,并分别测试与每个因素的关联,同时控制年龄、性别和估计的总颅内体积。脑白质高信号负荷的综合模型包括五个因素,在进行多重比较校正后具有显著性:收缩压、体重指数、城市化状态(城市与农村居住)、日常家务时间和去商店的频率。该模型解释了脑白质高信号负荷方差的另外27%(仅包含年龄、性别和估计总颅内体积的基线模型为54%对27%)。我们通过额外控制神经退行性变和认知障碍的并发标志物来考虑反向因果关系的可能性,我们的研究结果没有实质性变化。总体而言,我们的研究结果表明,控制高血压、保持健康的体重指数和高水平的身体活动可能会降低印度老年成年人的脑白质高信号负荷,有助于预防或延缓痴呆症。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81aa/9891346/59731981a751/fcad008_ga1.jpg

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