Association Between Physical Performance and Cognitive Function in Older Adults Across Multiple Studies: A Pooled Analysis Study.
Cognition
Diversity
Function/mobility
Measurement
Journal
Innovation in aging
ISSN: 2399-5300
Titre abrégé: Innov Aging
Pays: England
ID NLM: 101703706
Informations de publication
Date de publication:
2020
2020
Historique:
received:
02
07
2020
entrez:
26
11
2020
pubmed:
27
11
2020
medline:
27
11
2020
Statut:
epublish
Résumé
While several studies have examined the association between cognitive and physical function, the consistency of these associations across functional contexts is unclear. The consistency of the association between cognitive and physical function performance was examined at baseline across 17 clinical studies with diverse and heterogeneous conditions such as overweight/obese, sedentary, at risk for a mobility disability, osteoarthritis, low vitamin D, or had signs of cognitive impairment. Data are from 1,388 adults 50 years and older who completed a cognitive and physical function assessment as part of a research study at the Wake Forest Alzheimer's Disease Research Center or the Wake Forest Older Americans Independence Center. Linear regression models were used to relate cognitive measures (Mini-Mental Status Examination, Montreal Cognitive Assessment, and the Digit Symbol Substitution Task) and physical measures (the Short Physical Performance Battery and hand grip strength) for the whole sample and treat each study as a fixed effect. All models controlled for age, sex, race, and body mass index. Overall, there was a significant association between higher scores on the Mini-Mental Status Examination (per standard deviation) and better physical function performance (Short Physical Performance Battery score Older adults with heterogeneous health conditions showed a consistent pattern between better cognitive function and better physical function performance with the strongest association among Digit Symbol Substitution Task scores.
Sections du résumé
BACKGROUND AND OBJECTIVES
OBJECTIVE
While several studies have examined the association between cognitive and physical function, the consistency of these associations across functional contexts is unclear. The consistency of the association between cognitive and physical function performance was examined at baseline across 17 clinical studies with diverse and heterogeneous conditions such as overweight/obese, sedentary, at risk for a mobility disability, osteoarthritis, low vitamin D, or had signs of cognitive impairment.
RESEARCH DESIGN AND METHODS
METHODS
Data are from 1,388 adults 50 years and older who completed a cognitive and physical function assessment as part of a research study at the Wake Forest Alzheimer's Disease Research Center or the Wake Forest Older Americans Independence Center. Linear regression models were used to relate cognitive measures (Mini-Mental Status Examination, Montreal Cognitive Assessment, and the Digit Symbol Substitution Task) and physical measures (the Short Physical Performance Battery and hand grip strength) for the whole sample and treat each study as a fixed effect. All models controlled for age, sex, race, and body mass index.
RESULTS
RESULTS
Overall, there was a significant association between higher scores on the Mini-Mental Status Examination (per standard deviation) and better physical function performance (Short Physical Performance Battery score
DISCUSSION AND IMPLICATIONS
CONCLUSIONS
Older adults with heterogeneous health conditions showed a consistent pattern between better cognitive function and better physical function performance with the strongest association among Digit Symbol Substitution Task scores.
Identifiants
pubmed: 33241126
doi: 10.1093/geroni/igaa050
pii: igaa050
pmc: PMC7679973
doi:
Types de publication
Journal Article
Langues
eng
Pagination
igaa050Subventions
Organisme : NIA NIH HHS
ID : P30 AG021332
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG049638
Pays : United States
Informations de copyright
© The Author(s) 2020. Published by Oxford University Press on behalf of The Gerontological Society of America.
Références
J Gerontol A Biol Sci Med Sci. 2000 Apr;55(4):M221-31
pubmed: 10811152
J Psychiatr Res. 1975 Nov;12(3):189-98
pubmed: 1202204
Age Ageing. 2016 Sep;45(5):688-95
pubmed: 27496932
J Am Geriatr Soc. 2008 Sep;56(9):1618-25
pubmed: 18691275
J Gerontol A Biol Sci Med Sci. 2013 Apr;68(4):412-8
pubmed: 22987797
J Gerontol A Biol Sci Med Sci. 2013 Aug;68(8):929-37
pubmed: 23250002
Epidemiol Rev. 2013;35:33-50
pubmed: 23349427
J Clin Psychopharmacol. 2018 Oct;38(5):513-519
pubmed: 30124583
JAMA. 2011 Jan 5;305(1):50-8
pubmed: 21205966
J Gerontol A Biol Sci Med Sci. 2016 Dec;71(12):1616-1623
pubmed: 27069098
J Gerontol A Biol Sci Med Sci. 2016 Nov;71(11):1451-1458
pubmed: 27154905
Neuropsychobiology. 2008;57(4):151-8
pubmed: 18654084
J Gerontol. 1994 Mar;49(2):M85-94
pubmed: 8126356
J Gerontol A Biol Sci Med Sci. 2010 Oct;65(10):1093-100
pubmed: 20581339
J Neurol. 2010 Mar;257(3):392-8
pubmed: 19784714
J Am Geriatr Soc. 2005 Apr;53(4):695-9
pubmed: 15817019
J Gerontol A Biol Sci Med Sci. 2019 May 16;74(6):943-948
pubmed: 29917045
Innov Aging. 2017 Aug 30;1(1):igx008
pubmed: 30480107
J Gerontol A Biol Sci Med Sci. 2014 Nov;69(11):1375-88
pubmed: 24739495
J Gerontol A Biol Sci Med Sci. 2016 Jan;71(1):109-16
pubmed: 26286604
J Gerontol A Biol Sci Med Sci. 2016 Jan;71(1):63-71
pubmed: 26297942
Age Ageing. 2017 May 1;46(3):445-451
pubmed: 27744302