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骨密度、肥胖和认知功能。

Bone mineral density, adiposity, and cognitive functions.

机构信息

School of Medical Sciences, Edith Cowan University Joondalup, WA, Australia ; The McCusker Alzheimer's Research Foundation Nedlands, WA, Australia ; School of Psychiatry and Clinical Neurosciences, University of Western Australia Crawley, Australia.

The McCusker Alzheimer's Research Foundation Nedlands, WA, Australia ; The School of Animal Biology, University of Western Australia Crawley, WA, Australia.

出版信息

Front Aging Neurosci. 2015 Feb 18;7:16. doi: 10.3389/fnagi.2015.00016. eCollection 2015.

Abstract

Cognitive decline and dementia due to Alzheimer's disease (AD) have been associated with genetic, lifestyle, and environmental factors. A number of potentially modifiable risk factors should be taken into account when preventive or ameliorative interventions targeting dementia and its preclinical stages are investigated. Bone mineral density (BMD) and body composition are two such potentially modifiable risk factors, and their association with cognitive decline was investigated in this study. 164 participants, aged 34-87 years old (62.78 ± 9.27), were recruited for this longitudinal study and underwent cognitive and clinical examinations at baseline and after 3 years. Blood samples were collected for apolipoprotein E (APOE) genotyping and dual energy x-ray absorptiometry (DXA) was conducted at the same day as cognitive assessment. Using hierarchical regression analysis, we found that BMD and lean body mass, as measured using DXA were significant predictors of episodic memory. Age, gender, APOE status, and premorbid IQ were controlled for. Specifically, the List A learning from California Verbal Learning Test was significantly associated with BMD and lean mass both at baseline and at follow up assessment. Our findings indicate that there is a significant association between BMD and lean body mass and episodic verbal learning. While the involvement of modifiable lifestyle factors in human cognitive function has been examined in different studies, there is a need for further research to understand the potential underlying mechanisms.

摘要

由于阿尔茨海默病(AD)导致的认知能力下降和痴呆与遗传、生活方式和环境因素有关。在研究针对痴呆及其临床前阶段的预防或改善干预措施时,应考虑许多潜在的可改变的危险因素。骨矿物质密度(BMD)和身体成分是两个潜在的可改变的危险因素,本研究调查了它们与认知能力下降的关系。本纵向研究招募了 164 名年龄在 34-87 岁(62.78 ± 9.27)的参与者,他们在基线和 3 年后接受了认知和临床检查。采集了血样进行载脂蛋白 E(APOE)基因分型,同一天进行了双能 X 线吸收法(DXA)测量。通过分层回归分析,我们发现 DXA 测量的 BMD 和瘦体重是情景记忆的重要预测因素。控制了年龄、性别、APOE 状态和发病前智商。具体来说,加利福尼亚语言学习测试的 A 项列表学习与基线和随访评估时的 BMD 和瘦体重显著相关。我们的研究结果表明,BMD 和瘦体重与情景性言语学习之间存在显著关联。虽然不同的研究已经检查了可改变的生活方式因素对人类认知功能的影响,但需要进一步研究以了解潜在的机制。

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本文引用的文献

1
Potential for primary prevention of Alzheimer's disease: an analysis of population-based data.
Lancet Neurol. 2014 Aug;13(8):788-94. doi: 10.1016/S1474-4422(14)70136-X.
2
High adiposity: risk factor for dementia and Alzheimer's disease?
Alzheimers Res Ther. 2013 Nov 18;5(6):57. doi: 10.1186/alzrt221. eCollection 2013.
3
Cumulative estrogen exposure, number of menstrual cycles, and Alzheimer's risk in a cohort of British women.
Psychoneuroendocrinology. 2013 Dec;38(12):2973-82. doi: 10.1016/j.psyneuen.2013.08.005. Epub 2013 Sep 1.
4
Higher rates of decline for women and apolipoprotein E epsilon4 carriers.
AJNR Am J Neuroradiol. 2013 Dec;34(12):2287-93. doi: 10.3174/ajnr.A3601. Epub 2013 Jul 4.
5
Cholinergic regulation of bone.
J Musculoskelet Neuronal Interact. 2013 Jun;13(2):124-32.
6
The relation of executive functioning to CVLT-II learning, memory, and process indexes.
Appl Neuropsychol Adult. 2012;19(3):198-206. doi: 10.1080/09084282.2011.643960. Epub 2012 Jun 28.
7
The global prevalence of dementia: a systematic review and metaanalysis.
Alzheimers Dement. 2013 Jan;9(1):63-75.e2. doi: 10.1016/j.jalz.2012.11.007.
9
Sarcopenic obesity and cognitive functioning: the mediating roles of insulin resistance and inflammation?
Curr Gerontol Geriatr Res. 2012;2012:826398. doi: 10.1155/2012/826398. Epub 2012 May 7.
10
Alzheimer's disease: biological aspects, therapeutic perspectives and diagnostic tools.
J Phys Condens Matter. 2012 Jun 20;24(24):244102. doi: 10.1088/0953-8984/24/24/244102. Epub 2012 May 18.

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