4.7 Article

Motoric Cognitive Risk Syndrome Subtypes and Cognitive Profiles

Publisher

OXFORD UNIV PRESS INC
DOI: 10.1093/gerona/glv092

Keywords

Motoric cognitive risk syndrome; Gait; Neuropsychological assessment; Dementia

Funding

  1. National Institutes of Health, National Institute on Aging [R01AG036921-01A1, R01AG044007-01A1]
  2. Geneva University Hospitals
  3. Resnick Gerontology Center, Albert Einstein College of Medicine, Yeshiva University

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Background. The motoric cognitive risk (MCR) syndrome, characterized by slow gait and cognitive complaints, is a simple and easily accessible clinical approach to identify older adults at high risk for transitioning to dementia. This study aims to define subtypes of MCR based on individual quantitative gait variables and to compare their neuropsychological profiles and risk factors as well risk for incident cognitive impairment. Methods. MCR was diagnosed in 314 community-residing, nondemented, older adults aged 65 and older (56% women) based on the presence of cognitive complaints and slow gait velocity (MCRv). Four new subtypes of MCR were defined by substituting slow gait with short stride length (MCRsl), slow swing time (MCRsw), high stride length variability (MCRslv), and high swing time variability (MCRswv). MCR subtypes were not mutually exclusive. Results. A total of 25 participants (8%) met criteria for MCRv, 20 for MCRsl (6.4%), 15 for MCRsw (4.8%), 16 for MCRslv (5.1%), 12 for MCRswv (3.8%), and 266 participants (84.7%) did not meet criteria for any MCR subtype. At baseline, MCRv was associated with deficits in attention and language as well as in overall cognitive status. MCRswv was associated with deficits in all cognitive domains including memory. Obesity and sedentariness were risk factors of MCRv, MCRsl, and MCRsw. MCRv status predicted incident cognitive impairment in global cognition (odds ratio: 3.59, p = .016), whereas MCRswv status predicted incident cognitive impairment in memory (odds ratio: 4.24, p = .048). Conclusions. MCR subtypes based on individual gait parameters show commonalities and differences in cognitive profiles and risk factors. Future studies should investigate whether the MCR subtypes predict different subtypes of dementia.

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