Physical activity, motor function, and white matter hyperintensity burden in healthy older adults

Objective: To test the hypothesis that physical activity modifies the association between white matter hyperintensity (WMH) burden and motor function in healthy older persons without dementia. Methods: Total daily activity (exercise and nonexercise physical activity) was measured for up to 11 days with actigraphy (Actical; Philips Respironics, Bend, OR) in 167 older adults without dementia participating in the Rush Memory and Aging Project. Eleven motor performances were summarized into a previously described global motor score. WMH volume was expressed as percent of intracranial volume. Linear regression models, adjusted for age, education, and sex, were performed with total WMH volume as the predictor and global motor score as the outcome. Terms for total daily physical activity and its interaction with WMH volume were then added to the model. Results: Higher WMH burden was associated with lower motor function (p = 0.006), and total daily activity was positively associated with motor function (p = 0.002). Total daily activity modified the association between WMH and motor function (p = 0.007). WMH burden was not associated with motor function in persons with high activity (90th percentile). By contrast, higher WMH burden remained associated with lower motor function in persons with average (50th percentile; estimate = −0.304, slope = −0.133) and low (10th percentile; estimate = −1.793, slope = −0.241) activity. Conclusions: Higher levels of physical activity may reduce the effect of WMH burden on motor function in healthy older adults.

[1]  Kazuo Abe,et al.  Total daily physical activity and the risk of AD and cognitive decline in older adults , 2012, Neurology.

[2]  L. Pantoni.  Cerebral small vessel disease: from pathogenesis and clinical characteristics to therapeutic challenges , 2010, The Lancet Neurology.

[3]  Y. Stern,et al.  Diabetes mellitus and the risk of dementia , 1999, Neurology.

[4]  S. Leurgans,et al.  Combinations of motor measures more strongly predict adverse health outcomes in old age: the rush memory and aging project, a community-based cohort study , 2011, BMC Medicine.

[5]  Y. Stern,et al.  Efficiency, capacity, compensation, maintenance, plasticity: emerging concepts in cognitive reserve , 2013, Trends in Cognitive Sciences.

[6]  David A Bennett,et al.  Effect of purpose in life on the relation between Alzheimer disease pathologic changes on cognitive function in advanced age. , 2012, Archives of general psychiatry.

[7]  B. Mazoyer,et al.  Motor function in the elderly , 2013, Neurology.

[8]  J. Schneider,et al.  The effect of social networks on the relation between Alzheimer's disease pathology and level of cognitive function in old people: a longitudinal cohort study , 2006, The Lancet Neurology.

[9]  P. Wolf,et al.  Serum Brain–Derived Neurotrophic Factor and Vascular Endothelial Growth Factor Levels Are Associated With Risk of Stroke and Vascular Brain Injury: Framingham Study , 2013, Stroke.

[10]  D. Bennett,et al.  Education modifies the association of amyloid but not tangles with cognitive function , 2005, Neurology.

[11]  J. Schneider,et al.  Overview and findings from the rush Memory and Aging Project. , 2012, Current Alzheimer research.

[12]  L. Jeannotte,et al.  The State of aging and health in America 2007 , 2007 .

[13]  J. Kaye,et al.  Impact of white matter hyperintensity volume progression on rate of cognitive and motor decline , 2008, Neurology.

[14]  D. Bennett,et al.  Very low levels of education and cognitive reserve , 2013, Neurology.

[15]  D. Heil.  Predicting Activity Energy Expenditure Using the Actical® Activity Monitor , 2006, Research quarterly for exercise and sport.

[16]  Matthew L Senjem,et al.  Functional impact of white matter hyperintensities in cognitively normal elderly subjects. , 2010, Archives of neurology.

[17]  Jess Nithianantharajah,et al.  The neurobiology of brain and cognitive reserve: Mental and physical activity as modulators of brain disorders , 2009, Progress in Neurobiology.

[18]  P. Scheltens,et al.  Frontal lobe white matter hyperintensities and neurofibrillary pathology in the oldest old , 2010, Neurology.

[19]  R. Lipton,et al.  Epidemiology of Gait Disorders in Community‐Residing Older Adults , 2006, Journal of the American Geriatrics Society.

[20]  D. Bennett,et al.  Mild cognitive impairment , 2006, Neurology.

[21]  David A Bennett,et al.  Association of total daily physical activity with disability in community-dwelling older persons: a prospective cohort study , 2012, BMC Geriatrics.

[22]  Michael E. Miller,et al.  Effect of structured physical activity on prevention of major mobility disability in older adults: the LIFE study randomized clinical trial. , 2014, JAMA.

[23]  S. McGuire,et al.  Centers for Disease Control and Prevention. State indicator report on Physical Activity, 2014. Atlanta, GA: U.S. Department of Health and Human Services; 2014. , 2014, Advances in nutrition.

[24]  L. Radloff.  The CES-D Scale , 1977 .

[25]  D. Bennett,et al.  Total daily physical activity and longevity in old age. , 2012, Archives of internal medicine.

[26]  Giovanni B. Frisoni,et al.  White matter lesions in the elderly: Pathophysiological hypothesis on the effect on brain plasticity and reserve , 2008, Journal of the Neurological Sciences.

[27]  S. Katz,et al.  A Measure of Primary Sociobiological Functions , 1976, International journal of health services : planning, administration, evaluation.

[28]  Christos Davatzikos,et al.  Measuring Brain Lesion Progression with a Supervised Tissue Classification System , 2008, MICCAI.

[29]  H. Praag,et al.  Bridging animal and human models of exercise-induced brain plasticity , 2013, Trends in Cognitive Sciences.

[30]  Mark W. Woolrich,et al.  Advances in functional and structural MR image analysis and implementation as FSL , 2004, NeuroImage.

[31]  Eric E. Smith,et al.  Cerebral microinfarcts: the invisible lesions , 2012, The Lancet Neurology.

[32]  D. Bennett,et al.  Microvascular brain pathology and late-life motor impairment , 2013, Neurology.

[33]  Rong Zhang,et al.  White matter integrity in physically fit older adults , 2013, NeuroImage.

[34]  Stephen M Smith,et al.  Fast robust automated brain extraction , 2002, Human brain mapping.

[35]  E. Barrett-Connor,et al.  Exercise patterns in a population of older adults. , 1989, American journal of preventive medicine.

[36]  S. Leurgans,et al.  Microinfarct Pathology, Dementia, and Cognitive Systems , 2011, Stroke.

[37]  R. Mayeux,et al.  Functional correlates and prevalence of mild parkinsonian signs in a community population of older people. , 2005, Archives of neurology.

[38]  D A Bennett,et al.  Physical activity and motor decline in older persons , 2007, Muscle & nerve.

[39]  I. Deary,et al.  Neuroprotective lifestyles and the aging brain , 2012, Neurology.

[40]  James S. Williams,et al.  The effect of acute exercise on serum brain-derived neurotrophic factor levels and cognitive function. , 2007, Medicine and science in sports and exercise.