Aron Buchman

Dr. Aron Buchman

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Research Focus & Metrics

Academic Career Length

27Years (2000-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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24 April 2012 in Neurology
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ABAron Buchman
Aron Buchman
PBP.A. Boyle
P.A. Boyle
LYL. Yu
L. Yu
RSR.C. Shah
R.C. Shah
RWR.S. Wilson
R.S. Wilson
DBD.A. Bennett
D.A. Bennett
Objective: Studies examining the link between objective measures of total daily physical activity and incident Alzheimer disease (AD) are lacking. We tested the hypothesis that an objective measure of total daily physical activity predicts incident AD and cognitive decline. Methods: Total daily exercise and nonexercise physical activity was measured continuously for up to 10 days with actigraphy (Actical®; Philips Healthcare, Bend, OR) from 716 older individuals without dementia participating in the Rush Memory and Aging Project, a prospective, observational cohort study. All participants underwent structured annual clinical examination including a battery of 19 cognitive tests. Results: During an average follow-up of about 4 years, 71 subjects developed clinical AD. In a Cox proportional hazards model adjusting for age, sex, and education, total daily physical activity was associated with incident AD (hazard ratio = 0.477; 95% confidence interval 0.273–0.832). The association remained after adjusting for self-report physical, social, and cognitive activities, as well as current level of motor function, depressive symptoms, chronic health conditions, and APOE allele status. In a linear mixed-effect model, the level of total daily physical activity was associated with the rate of global cognitive decline (estimate 0.033, SE 0.012, p = 0.007). Conclusions: A higher level of total daily physical activity is associated with a reduced risk of AD.

1 June 2007 in Psychosomatic Medicine
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ABAron Buchman
Aron Buchman
PBPatricia A. Boyle
Patricia A. Boyle
RWRobert S. Wilson
Robert S. Wilson
YTYuxiao Tang
Yuxiao Tang
DBDavid A. Bennett
David A. Bennett
To assess the association between frailty and incident Alzheimer’s disease (AD) and cognitive decline. Frailty is common in older persons and associated with adverse health outcomes. Study subjects included 823 older persons without dementia who participated in the Rush Memory and Aging Project, a longitudinal study of aging, and underwent annual assessments of frailty, cognition, and diagnostic evaluation for AD. During a 3-year follow-up, 89 of 823 participants developed AD. In a proportional hazards model, both baseline level of frailty and annual rate of change in frailty were associated with an increased risk of incident AD. Each additional one tenth of a unit increase on the frailty scale at baseline was associated with >9% increased risk of AD (hazard ratio: 2.44; 95% confidence interval (CI): 1.49, 3.37); each one tenth of a unit increase in annual rate of change in frailty was associated with a 12% increased risk of AD (hazard ratio: 3.30; 95% CI: 1.52, 7.13). These results were unchanged in analyses controlling for vascular risk factors and vascular diseases. Results were similar with a categorical measure of frailty instead of a continuous measure. Further, linear mixed-effects models showed that the level of and rate of change in frailty were also associated with the rate of cognitive decline. Increasing frailty is associated with incident AD and the rate of cognitive decline in older persons. These findings suggest that frailty and AD may share similar etiologies.

27 September 2005 in Neurology
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Journal Article
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ABAron Buchman
Aron Buchman
RWR. S. Wilson
R. S. Wilson
JBJ. L. Bienias
J. L. Bienias
RSR. C. Shah
R. C. Shah
DED. A. Evans
D. A. Evans
DBD. A. Bennett
D. A. Bennett
Objective: To examine the association of change in body mass index (BMI) with risk of Alzheimer disease (AD). Methods: Nine hundred eighteen older Catholic clergy participating in the Religious Orders Study without dementia at baseline were studied. Outcome measures were the clinical diagnosis of AD and change in cognitive function. Results: During a mean follow-up of 5.5 years, 151 persons developed AD. BMI averaged 27.4 at baseline and declined in about half the participants. In a proportional hazards model adjusted for age, sex, and education, each 1-unit less of BMI at baseline was associated with about a 5% increase in the risk of AD (hazard ratio = 0.944; 95% CI = 0.908 to 0.981), and each 1-unit annual decline in BMI (about the 10th percentile) was associated with about a 35% increase in the risk of AD compared with a person experiencing no change in BMI (about the 50th percentile) (hazard ratio = 0.730; 95% CI = 0.625 to 0.852). The results were similar after controlling for chronic diseases and excluding persons who developed AD during the first 4 years of observation. Random effects models showed that the rate of cognitive decline increased by about 8% for each 1-unit less of BMI at baseline and declined an additional 40%/year in persons losing 1 unit of BMI/year compared with those with no change in BMI. Conclusion: Declining body mass index (BMI) is associated with increased risk of incident Alzheimer disease (AD). Loss of BMI may reflect pathologic processes that contribute to the subsequent development of AD.

1 May 2011 in Expert Review of Neurotherapeutics
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ABAron Buchman
Aron Buchman
DBDavid A Bennett
David A Bennett
Accumulating evidence suggests that Alzheimer’s disease (AD) has a long preclinical phase, during which time its characteristic pathology accumulates and patient function declines, but symptoms are...

1 December 2013 in JAMA Neurology
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ALAndrew S. P. Lim
Andrew S. P. Lim
LYLei Yu
Lei Yu
MKMatthew Kowgier
Matthew Kowgier
JSJulie A. Schneider
Julie A. Schneider
ABAron Buchman
Aron Buchman
DBDavid A. Bennett
David A. Bennett
A confluence of genetic, behavioral, and environmental factors contributes to the risk of Alzheimer disease (AD) in elderly people. The apolipoprotein E (APOE [GenBank, 348; OMIM, 107741]) ε4 allele is the most well-established genetic risk factor for AD.1-6 Meanwhile, in older adults, sleep disturbance is common,7 poorer sleep consolidation— the interruption of sleep by repeated awakenings—is associated with worse cognition,8,9 and sleep apnea, which can impair sleep consolidation, is associated with a higher risk of incident mild cognitive impairment and dementia.10 Although the APOE genotype is immutable, many social, environmental, and medical contributors to poor sleep are modifiable.

28 January 2021 in Nature Communications
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GJGaran Jones
Garan Jones
KTKaterina Trajanoska
Katerina Trajanoska
ASAdam Santanasto
Adam Santanasto
NSNajada Stringa
Najada Stringa
CKChia-Ling Kuo
Chia-Ling Kuo
LPLuke Pilling
Luke Pilling
Low muscle strength is an important heritable indicator of poor health linked to morbidity and mortality in older people. In a genome-wide association study meta-analysis of 256,523 Europeans aged 60 years and over from 22 cohorts we identify 15 loci associated with muscle weakness (European Working Group on Sarcopenia in Older People definition: n = 48,596 cases, 18.9% of total), including 12 loci not implicated in previous analyses of continuous measures of grip strength. Loci include genes reportedly involved in autoimmune disease (HLA-DQA1p = 4 × 10−17), arthritis (GDF5p = 4 × 10−13), cell cycle control and cancer protection, regulation of transcription, and others involved in the development and maintenance of the musculoskeletal system. Using Mendelian randomization we report possible overlapping causal pathways, including diabetes susceptibility, haematological parameters, and the immune system. We conclude that muscle weakness in older adults has distinct mechanisms from continuous strength, including several pathways considered to be hallmarks of ageing.