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Transitions in cognitive status in relation to frailty in older adults: A Comparison of three frailty measures

  • JNHA: Sarcopenia Frailty and Performance
  • Published:
The journal of nutrition, health & aging

Abstract

Objectives

Cognitive decline is related to frailty. Frailty can be operationalized in different ways, which have an unknown impact on the estimation of risk. Here, we compared 3 frailty measures in relation to cognitive changes and mortality in the Canadian Study of Health and Aging (CSHA).

Design

Prospective population-based study, with 5 year follow up.

Participants/Setting

2,305 subjects aged 70+ years.

Methods

For each participant, cognitive status was measured by the errors in the Modified Mini-Mental State Examination (3MS) score. Three frailty measures were used: a Frailty Index based on the Comprehensive Geriatric Assessment (FI-CGA) evaluated from 47 potential deficits, a Clinical Frailty Score and the Fried frailty phenotype. Multivariate Poisson regression and multivariate logistic regression were used to examine the association between baseline cognitive errors and frailty and death, respectively, while controlling for possible confounders (age, sex, education, and baseline cognitive status).

Results

Changes in cognitive status were strongly associated with baseline cognition and frailty, however defined. In multivariate models adjusted for age, sex and education, each frailty measure was associated with cognitive decline and with mortality. The frailest people (from the highest FI-CGA tertile) rarely showed cognitive improvement or stabilization (1.5%, 95% CI=0.002%–2.8%) compared with non-frail people (from the lowest tertile of the FI-CGA), of whom 27.8% (95% CI=24.5%–31.1%) did not deteriorate.

Conclusions

Frail elderly people have an increased risk of cognitive decline. All frailty measures allowed quantification of individual vulnerability and predict both cognitive changes and mortality.

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References

  1. Fulop T, Larbi A, Witkowski JM, McElhaney J, Loeb M, Mitnitski A, Pawelec G. Aging, frailty and age-related diseases. Biogerontology. 2010;11:547–563.

    Article  PubMed  CAS  Google Scholar 

  2. Buchman AS, Boyle PA, Wilson RS, Tang Y, Bennett DA. Frailty is associated with incident Alzheimer’s disease and cognitive decline in the elderly. Psychosom Med. 2007;69:483–489.

    Article  PubMed  Google Scholar 

  3. Boyle PA, Buchman AS, Wilson RS, Leurgans SE, Bennett DA. Physical frailty is associated with incident mild cognitive impairment in community-based older persons. J Am Geriatr Soc. 2010;58:248–255.

    Article  PubMed  Google Scholar 

  4. Martin FC, Brighton P. Frailty: Different tools for different purposes? Age Ageing. 2008;37: 129–131.

    Article  PubMed  Google Scholar 

  5. Whitson HE, Purser JL, Cohen HJ. Frailty thy name is … Phrailty? J Gerontol A Biol Sci Med Sci. 2007:62:728–730.

    Article  PubMed  Google Scholar 

  6. Abellan van Kan G, Rolland Y, Houles M, Gillette-Guyonnet S, Soto M, Vellas B. The assessment of frailty in older adults. Clin Geriatr Med. 2010;26:275–286.

    Article  PubMed  Google Scholar 

  7. Fried LP, Tangen CM, Walston J, Newman AB, Hirsch C, Gottdiener J, Seeman T, Tracy R, Kop WJ, Burke G, McBurnie MA. Cardiovascular Health Study Collaborative Research Group: Frailty in older adults: evidence for a phenotype. J Gerontol A Biol Sci Med Sci. 2001;56A:M146–M156.

    Article  Google Scholar 

  8. Mitnitski AB, Mogilner AJ, Rockwood K. Accumulation of deficits as a proxy measure of aging. ScientificWorldJournal. 2001;1:323–336.

    Article  PubMed  CAS  Google Scholar 

  9. Rockwood K, Mitnitski A. Frailty in relation to the accumulation of deficits. J Gerontol A Biol Sci Med Sci. 2007;62:722–727.

    Article  PubMed  Google Scholar 

  10. Mitnitski A, Song X, Skoog I, Broe GA, Cox JL, Grunfeld E, Rockwood K. Relative fitness and frailty of elderly men and women in developed countries and their relationship with mortality. J Am Geriatr Soc. 2005;53:2184–2189.

    Article  PubMed  Google Scholar 

  11. Kulminski AM, Ukraintseva SV, Kulminskaya IV, Arbeev KG, Land KC, Akushevich L, Yashin AI. Cumulative deficits better characterize susceptibility to death in elderly people than phenotypic frailty: lessons from the Cardiovascular Health Study. J Am Geriatr Soc. 2008;56:898–903.

    Article  PubMed  Google Scholar 

  12. Dupre ME, Gu D, Warner DF, Yi Z. Frailty and type of death among older adults in China: prospective cohort study. BMJ. 2009;338:b1175.

    Article  PubMed  Google Scholar 

  13. Jones DM, Song X, Rockwood K. Operationalizing a frailty index from a standardized comprehensive geriatric assessment. J Am Geriatr Soc. 2004;52:1929–1933.

    Article  PubMed  Google Scholar 

  14. Rockwood K, Rockwood MR, Mitnitski A. Physiological redundancy in older adults in relation to the change with age in the slope of a frailty index. J Am Geriatr Soc. 2010;58:318–323.

    Article  PubMed  Google Scholar 

  15. Rockwood K, Song X, MacKnight C, Bergman H, Hogan DB, McDowell I, Mitnitski A. A global clinical measure of fitness and frailty in elderly people. Can Med Assoc J. 2005;73: 489–489.

    Article  Google Scholar 

  16. Canadian Study of Health and Aging Working Group. Canadian Study of Health and Aging: Study Methods and Prevalence of Dementia. Can Med Assoc J. 1994;150: 899–913.

    Google Scholar 

  17. McDowell, I, Kristjansson B, Hill GB, Hebert R: Community screening for dementia: the Mini Mental State Exam (MMSE) and Modified Mini-Mental State Exam (3MS) compared. J Clin Epidemiol. 1997;50:377–383.

    Article  PubMed  CAS  Google Scholar 

  18. Jones TG, Schinka JA, Vanderploeg RD, Small BJ, Graves AB, Mortimer JA: 3MS normative data for the elderly. Arch Clin Neuropsychol. 2002;17:171–177.

    PubMed  Google Scholar 

  19. Mitnitski A, Bao L, Rockwood K. Going from bad to worse: A stochastic model of transitions in deficit accumulation, in relation to mortality. Mech Ageing Dev. 2006;127:490–493.

    Article  PubMed  Google Scholar 

  20. Mitnitski A, Rockwood K: Transitions in cognitive test scores over 5 and 10 years in elderly people: evidence for a model of age-related deficit accumulation. BMC Geriatr. 2008;8:3.

    Article  PubMed  Google Scholar 

  21. Fallah N, Mitnitski A, Middleton L, Rockwood K. Modeling the impact of sex on how exercise is associated with cognitive changes and death in older Canadians. Neuroepidemiology. 2009;33:47–54.

    Article  PubMed  Google Scholar 

  22. Andrew MK, Rockwood K. A five-point change in Modified Mini-Mental State Examination was clinically meaningful in community-dwelling elderly people. J Clin Epidemiol. 2008;61:827–831.

    Article  PubMed  Google Scholar 

  23. Rockwood K, Andrew M, Mitnitski A: A comparison of two approaches to measuring frailty in elderly people. J Gerontol A Biol Sci Med Sci. 2007;62A:738–743.

    Article  Google Scholar 

  24. Peters R, Beckett N, Beardmore R, Peña-Miller R, Rockwood K, Mitnitski A, Mt-Isa S, Bulpitt C. Modelling cognitive decline in the Hypertension in the Very Elderly Trial [HYVET] and proposed risk tables for population use. PLoS One. 2010;5(7):e11775.

    Article  PubMed  Google Scholar 

  25. Mitnitski A, Fallah N, Wu Y, Rockwood K, Borenstein AR. Changes in cognition during the course of eight years in elderly Japanese Americans: a multistate transition model. Ann Epidemiol. 2010;20:480–486.

    Article  PubMed  Google Scholar 

  26. Middleton LE, Barnes DE, Lui LY, Yaffe K. Physical activity over the life course and its association with cognitive performance and impairment in old age. J Am Geriatr Soc. 2010;58:1322–1326.

    Article  PubMed  Google Scholar 

  27. Barrett-Connor E, Edelstein SL, Corey-Bloom J, Wiederholt WC. Weight loss precedes dementia in community-dwelling older adults. J Am Geriatr Soc. 1996;44:1147–1152.

    PubMed  CAS  Google Scholar 

  28. Johnson DK, Wilkins CH, Morris JC. Accelerated weight loss may precede diagnosis in Alzheimer disease. Arch Neurol. 2006;63:1312–1317.

    Article  PubMed  Google Scholar 

  29. Camicioli RM, Wieler M, de Frias CM, Martin WR. Early, untreated Parkinson’s disease patients show reaction time variability. Neurosci Lett. 2008;441:77–80.

    Article  PubMed  CAS  Google Scholar 

  30. Amieva H, Le Goff M, Millet X, Orgogozo JM, Pérès K, Barberger-Gateau P, Jacqmin-Gadda H, Dartigues JF. Prodromal Alzheimer’s disease: successive emergence of the clinical symptoms. Ann Neurol. 2008;64:492–498.

    Article  PubMed  Google Scholar 

  31. Skoog I, Gustafson D. Update on hypertension and Alzheimer’s disease. Neurol Res. 2006;28:605–611.

    Article  PubMed  Google Scholar 

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Correspondence to A. Mitnitski.

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Mitnitski, A., Fallah, N., Rockwood, M.R.H. et al. Transitions in cognitive status in relation to frailty in older adults: A Comparison of three frailty measures. J Nutr Health Aging 15, 863–867 (2011). https://doi.org/10.1007/s12603-011-0066-9

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  • DOI: https://doi.org/10.1007/s12603-011-0066-9

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