Cardiorespiratory fitness attenuates age-associated aggregation of white matter hyperintensities in an at-risk cohort
Autor: | Clayton J. Vesperman, Dane B. Cook, Barbara B. Bendlin, Vincent Pozorski, Sterling C. Johnson, Yue Ma, Bruce P. Hermann, Elizabeth A. Boots, Ozioma C. Okonkwo, Lena L. Law, Mark A. Sager, Catherine L. Gallagher, Sanjay Asthana, Cynthia M. Carlsson, Jennifer M. Oh, Ryan J. Dougherty, Howard A. Rowley |
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Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
Male
Aging medicine.medical_specialty Cognitive Neuroscience behavioral disciplines and activities 050105 experimental psychology lcsh:RC346-429 lcsh:RC321-571 Cohort Studies 03 medical and health sciences 0302 clinical medicine Alzheimer Disease Risk Factors Internal medicine mental disorders White matter hyperintensities Humans Medicine Aerobic exercise 0501 psychology and cognitive sciences Risk factor Family history Cardiorespiratory fitness lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry lcsh:Neurology. Diseases of the nervous system Aged business.industry 05 social sciences Brain Middle Aged Magnetic Resonance Imaging White Matter Hyperintensity Blood pressure Neurology Cohort Cardiology Female Neurology (clinical) business Body mass index Alzheimer’s disease 030217 neurology & neurosurgery |
Zdroj: | Alzheimer’s Research & Therapy, Vol 10, Iss 1, Pp 1-7 (2018) |
ISSN: | 1758-9193 |
Popis: | Background Age is the cardinal risk factor for Alzheimer’s disease (AD), and white matter hyperintensities (WMH), which are more prevalent with increasing age, may contribute to AD. Higher cardiorespiratory fitness (CRF) has been shown to be associated with cognitive health and decreased burden of AD-related brain alterations in older adults. Accordingly, the aim of this study was to determine whether CRF attenuates age-related accumulation of WMH in middle-aged adults at risk for AD. Methods One hundred and seven cognitively unimpaired, late-middle-aged adults from the Wisconsin Registry for Alzheimer’s Prevention underwent 3 T magnetic resonance imaging and performed graded maximal treadmill exercise testing from which we calculated the oxygen uptake efficiency slope (OUES) as our measure of CRF. Total WMH were quantified using the Lesion Segmentation Tool and scaled to intracranial volume. Linear regression adjusted for APOE4 carriage, family history, body mass index, systolic blood pressure, and sex was used to examine relationships between age, WMH, and CRF. Results As expected, there was a significant association between age and WMH (p |
Databáze: | OpenAIRE |
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