Literature DB >> 23112113

Cognitive function, gait, and gait variability in older people: a population-based study.

Kara L Martin1, Leigh Blizzard, Amanda G Wood, Velandai Srikanth, Russell Thomson, Lauren M Sanders, Michele L Callisaya.   

Abstract

BACKGROUND: Gait impairments are associated with falls and loss of independence. The study of factors associated with poorer gait may assist in developing methods to preserve mobility in older people. The aim of this study was to examine the associations between a range of cognitive functions and gait and gait variability in a population-based sample of older people.
METHODS: Gait and intra-individual gait variability measures were obtained using the GAITRite walkway in a sample of older people, aged 60-85 years (N = 422), randomly selected from the Tasmanian electoral roll. Raw scores from a cognitive battery were subjected to principal component analyses deriving four summary domains: executive function/attention, processing speed, memory, and visuospatial ability. Multivariable linear regression was used to examine associations between cognitive domains and gait measures adjusting for age, sex, ambulatory activity, medication use, and mood.
RESULTS: The mean age of the sample was 72.0 years (SD = 7.0), with 238 men (56%). Poorer executive function was independently associated with poorer performance in most absolute gait measures and with greater variability in double support phase and step time. Processing speed was associated with absolute gait measures and double support phase variability. Visuospatial ability was only associated with greater double support phase variability, independently of executive function and processing speed. Memory was not independently associated with any gait measure.
CONCLUSIONS: In community-dwelling older people, executive function/attention and processing speed were associated with many aspects of gait, whereas visuospatial ability may only play a role in double support phase variability.

Entities:  

Keywords:  Aging.; Cognitive function; Gait; Gait variability

Mesh:

Year:  2012        PMID: 23112113     DOI: 10.1093/gerona/gls224

Source DB:  PubMed          Journal:  J Gerontol A Biol Sci Med Sci        ISSN: 1079-5006            Impact factor:   6.053


  62 in total

1.  Intra-individual lap time variation of the 400-m walk, an early mobility indicator of executive function decline in high-functioning older adults?

Authors:  Qu Tian; Susan M Resnick; Luigi Ferrucci; Stephanie A Studenski
Journal:  Age (Dordr)       Date:  2015-11-11

2.  Association between cerebellar gray matter volumes, gait speed, and information-processing ability in older adults enrolled in the Health ABC study.

Authors:  Neelesh K Nadkarni; Karen A Nunley; Howard Aizenstein; Tamara B Harris; Kristine Yaffe; Suzanne Satterfield; Anne B Newman; Caterina Rosano
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2013-10-29       Impact factor: 6.053

3.  Multi-modal neuroimaging of dual-task walking: Structural MRI and fNIRS analysis reveals prefrontal grey matter volume moderation of brain activation in older adults.

Authors:  Mark E Wagshul; Melanie Lucas; Kenny Ye; Meltem Izzetoglu; Roee Holtzer
Journal:  Neuroimage       Date:  2019-01-30       Impact factor: 6.556

4.  [Subjective Gait Stability in the Elderly].

Authors:  Theresa Hirsch; Jasmin Lampe; Katrin Michalk; Lotte Röder; Karoline Munsch; Jonas Marquardt
Journal:  Z Gerontol Geriatr       Date:  2017-07-10       Impact factor: 1.281

Review 5.  What can biomarkers tell us about cognition in Parkinson's disease?

Authors:  Brit Mollenhauer; Lynn Rochester; Alice Chen-Plotkin; David Brooks
Journal:  Mov Disord       Date:  2014-04-15       Impact factor: 10.338

6.  Age differences in reactive strategies and execution time during choice stepping with visual interference.

Authors:  Kazuki Uemura; Midori Haruta; Yasushi Uchiyama
Journal:  Eur J Appl Physiol       Date:  2015-08-13       Impact factor: 3.078

7.  Cognitive functioning is more closely related to real-life mobility than to laboratory-based mobility parameters.

Authors:  Eleftheria Giannouli; Otmar Bock; Wiebren Zijlstra
Journal:  Eur J Ageing       Date:  2017-06-20

8.  Comparison of Gait Parameters for Predicting Cognitive Decline: The Mayo Clinic Study of Aging.

Authors:  Rodolfo Savica; Alexandra M V Wennberg; Clinton Hagen; Kelly Edwards; Rosebud O Roberts; John H Hollman; David S Knopman; Bradley F Boeve; Mary M Machulda; Ronald C Petersen; Michelle M Mielke
Journal:  J Alzheimers Dis       Date:  2017       Impact factor: 4.472

9.  Motoric Cognitive Risk Syndrome and Falls Risk: A Multi-Center Study.

Authors:  Michele L Callisaya; Emmeline Ayers; Nir Barzilai; Luigi Ferrucci; Jack M Guralnik; Richard B Lipton; Petr Otahal; Velandai K Srikanth; Joe Verghese
Journal:  J Alzheimers Dis       Date:  2016-06-18       Impact factor: 4.472

10.  Impact of Cognitive Training on Balance and Gait in Older Adults.

Authors:  Renae L Smith-Ray; Susan L Hughes; Thomas R Prohaska; Deborah M Little; Donald A Jurivich; Donald Hedeker
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2013-11-05       Impact factor: 4.077

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