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Wanigatunga AA, Manini TM, Cook DR, et al. Community-Based Activity and Sedentary Patterns Are Associated With Cognitive Performance in Mobility-Limited Older Adults. Front Aging Neurosci. 2018;10:341doi: 10.3389/fnagi.2018.00341.
Wanigatunga, A. A., Manini, T. M., Cook, D. R., Katula, J., Fielding, R. A., Kramer, A. F., Verghese, J., Rapp, S. R., Sink, K. M., King, A. C., Buford, T. W., Anton, S., Nadkarni, N., Jennings, J. M., Reid, K., Espeland, M. A., Gill, T. M., Pahor, M., & Nocera, J. R. (2018). Community-Based Activity and Sedentary Patterns Are Associated With Cognitive Performance in Mobility-Limited Older Adults. Frontiers in aging neuroscience, 10341. https://doi.org/10.3389/fnagi.2018.00341
Wanigatunga, Amal A, et al. "Community-Based Activity and Sedentary Patterns Are Associated With Cognitive Performance in Mobility-Limited Older Adults." Frontiers in aging neuroscience vol. 10 (2018): 341. doi: https://doi.org/10.3389/fnagi.2018.00341
Wanigatunga AA, Manini TM, Cook DR, Katula J, Fielding RA, Kramer AF, Verghese J, Rapp SR, Sink KM, King AC, Buford TW, Anton S, Nadkarni N, Jennings JM, Reid K, Espeland MA, Gill TM, Pahor M, Nocera JR. Community-Based Activity and Sedentary Patterns Are Associated With Cognitive Performance in Mobility-Limited Older Adults. Front Aging Neurosci. 2018 Nov 15;10:341. doi: 10.3389/fnagi.2018.00341. eCollection 2018. PMID: 30498440; PMCID: PMC6249499.
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Front Aging Neurosci. 2018 Nov 15;10:341. doi: 10.3389/fnagi.2018.00341. eCollection 2018.

Community-Based Activity and Sedentary Patterns Are Associated With Cognitive Performance in Mobility-Limited Older Adults.

Frontiers in aging neuroscience

Amal A Wanigatunga, Todd M Manini, Delilah R Cook, Jeffrey Katula, Roger A Fielding, Arthur F Kramer, Joe Verghese, Stephen R Rapp, Kaycee M Sink, Abby C King, Thomas W Buford, Steve Anton, Neelesh Nadkarni, Janine M Jennings, Kieran Reid, Mark A Espeland, Thomas M Gill, Marco Pahor, Joe R Nocera

Affiliations

  1. Johns Hopkins School of Public Health, Baltimore, MD, United States.
  2. Department of Aging and Geriatric Research, University of Florida, Gainesville, FL, United States.
  3. Division of Public Health Sciences, Department of Health and Exercise Science, Wake Forest University, Winston-Salem, NC, United States.
  4. Department of Health and Exercise Science, Wake Forest University, Winston-Salem, NC, United States.
  5. Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, United States.
  6. Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, IL, United States.
  7. Department of Neurology and Medicine, Albert Einstein of Yeshiva University, Bronx, NY, United States.
  8. Department of Psychiatry and Behavioral Medicine, Wake Forest School of Medicine, Winston-Salem, NC, United States.
  9. Department of Internal Medicine (Gerontology/Geriatrics), Wake Forest School of Medicine, Winston-Salem, NC, United States.
  10. Stanford University School of Medicine, Stanford, CA, United States.
  11. School of Medicine, The University of Alabama at Birmingham, Birmingham, AL, United States.
  12. Department of Medicine, University of Pittsburgh, Pittsburgh, PA, United States.
  13. Department of Psychology, Wake Forest University, Winston-Salem, NC, United States.
  14. Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC, United States.
  15. Yale School of Medicine, New Haven, CT, United States.
  16. Center for Visual and Neurocognitive Rehabilitation, Atlanta, GA, United States.
  17. Division of Physical Therapy, Emory University, Atlanta, GA, United States.
  18. Department of Neurology, Emory University, Atlanta, GA, United States.

PMID: 30498440 PMCID: PMC6249499 DOI: 10.3389/fnagi.2018.00341

Abstract

Over the last few decades, considerable evidence shows that greater levels of aerobic exercise and cardiovascular fitness benefit cognitive performance. However, the degree to which free-living activity in community settings is related to cognitive performance remains unclear, particularly in older adults vulnerable to disability. Also, it is unknown whether the manner in which daily physical activity (PA) and sedentary time are accumulated throughout the day is associated with cognition. Cross-sectional associations between accelerometer-characterized PA and sedentary patterns and cognitive performance were examined in 1,274 mobility-limited older adults. Percent time spent in various bout lengths of PA (≥1, ≥2, and ≥5 min) and sedentary (≥1, ≥30, and ≥60 min) was defined as the number of minutes registered divided by total wear time × 100. Percent time was then tertiled for each bout length. Multiple linear regression models were used to estimate the associations between accelerometer bout variables and separate cognitive domains that included processing speed (Digit Symbol Coding; DSC), immediate and delayed recall (Hopkins Verbal Learning Test; HVLT), information processing and selective attention (Flanker), working memory (

Keywords: accelerometer; aging; cognition; executive function; physical inactivity; wearables

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