Frailty, fitness and late-life mortality in relation to chronological and biological age

BackgroundPeople age at remarkably different rates, but how to estimate trajectories of senescence is controversial.MethodsIn a secondary analysis of a representative cohort of Canadians aged 65 and over (n = 2914) we estimated a frailty index based on the proportion of 20 deficits observed in a structured clinical examination. The construct validity of the index was examined through its relationship to chronological age (CA). The criterion validity was examined in its ability to predict mortality, and in relation to other predictions about aging. From the frailty index, relative (to CA) fitness and frailty were estimated, as was an individual's biological age.ResultsThe average value of the frailty index increased with age in a log-linear relationship (r = 0.91; p < 0.001). In a Cox regression analysis, biological age was significantly more highly associated with death than chronological age. The average increase in the frailty index (i.e. the average accumulation of deficits) amongst those with no cognitive impairment was 3 per cent per year.ConclusionsThe frailty index is a sensitive predictor of survival. As the index includes items not traditionally related to adverse health outcomes, the finding is compatible with a view of frailty as the failure to integrate the complex responses required to maintain function.

[1]  A. Mitnitski,et al.  Vector diagnostics in dementia derived from Bayes' theorem. , 1997, American journal of epidemiology.

[2]  Deborah A. Roach The Biology Of Life Span , 1992 .

[3]  浜田賀代子,et al.  老年期痴呆患者のスクリーニングにおけるThe modified mini-mental state (3MS) examination日本語版の有用性 , 1992 .

[4]  V. Kannisto,et al.  The Biology of Life Span: A Quantitative Approach , 1992 .

[5]  L. Gavrilov,et al.  The reliability theory of aging and longevity. , 2001, Journal of theoretical biology.

[6]  L. Bäckman,et al.  Cognitive correlates of mortality: evidence from a population-based sample of very old adults. , 1997, Psychology and aging.

[7]  B. Reisberg,et al.  The Global Deterioration Scale for assessment of primary degenerative dementia. , 1982, The American journal of psychiatry.

[8]  A. Mitnitski,et al.  The rate of decline in function in Alzheimer's disease and other dementias. , 1999, The journals of gerontology. Series A, Biological sciences and medical sciences.

[9]  Gregory Piatetsky-Shapiro,et al.  Advances in Knowledge Discovery and Data Mining , 2004, Lecture Notes in Computer Science.

[10]  An algorithmic approach to the differential diagnosis of dementia. , 1996, Dementia.

[11]  I McDowell,et al.  Multidimensionality in instrumental and basic activities of daily living. , 1998, Journal of clinical epidemiology.

[12]  H. Chui,et al.  The Modified Mini-Mental State (3MS) examination. , 1987, The Journal of clinical psychiatry.

[13]  B. L. Beattie,et al.  Frailty in elderly people: an evolving concept. , 1994, CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne.

[14]  K F Ferraro,et al.  Measuring morbidity: disease counts, binary variables, and statistical power. , 2000, The journals of gerontology. Series B, Psychological sciences and social sciences.

[15]  Kenneth Rockwood,et al.  A brief clinical instrument to classify frailty in elderly people , 1999, The Lancet.

[16]  P A Charpentier,et al.  Behavioral and psychosocial predictors of physical performance: MacArthur studies of successful aging. , 1995, The journals of gerontology. Series A, Biological sciences and medical sciences.

[17]  Alexander J. Mogilner,et al.  Dynamics of cognitive aging: distinguishing functional age and disease from chronologic age in a population. , 1999, American journal of epidemiology.

[18]  Canadian study of health and aging: study methods and prevalence of dementia. , 1994, CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne.

[19]  Kenneth Rockwood,et al.  Accumulation of Deficits as a Proxy Measure of Aging , 2001, TheScientificWorldJournal.

[20]  Robin Eastwood,et al.  Canadian study of health and aging , 1992 .

[21]  M. Brown,et al.  Physical and performance measures for the identification of mild to moderate frailty. , 2000, The journals of gerontology. Series A, Biological sciences and medical sciences.

[22]  B. L. Beattie,et al.  Standardization of the diagnosis of dementia in the Canadian Study of Health and Aging. , 1996, Neuroepidemiology.

[23]  C. P. Hughes,et al.  Predictive features in mild senile dementia of the Alzheimer type , 1984, Neurology.

[24]  D M Buchner,et al.  Unstable disability and the fluctuations of frailty. , 1997, Age and ageing.

[25]  J. Mesirov,et al.  Interpreting patterns of gene expression with self-organizing maps: methods and application to hematopoietic differentiation. , 1999, Proceedings of the National Academy of Sciences of the United States of America.

[26]  A. Goldberger,et al.  Loss of 'complexity' and aging. Potential applications of fractals and chaos theory to senescence. , 1992, JAMA.

[27]  J. Jolles,et al.  The relation between morbidity and cognitive performance in a normal aging population. , 1998, The journals of gerontology. Series A, Biological sciences and medical sciences.

[28]  Janice E Graham,et al.  Prevalence and severity of cognitive impairment with and without dementia in an elderly population , 1997, The Lancet.

[29]  D. Spiegelhalter,et al.  Factors associated with functional decline and improvement in a very elderly community-dwelling population. , 1999, American journal of epidemiology.

[30]  C. Finch Variations in senescence and longevity include the possibility of negligible senescence. , 1998, The journals of gerontology. Series A, Biological sciences and medical sciences.

[31]  The incidence of dementia in Canada , 2000, Neurology.

[32]  Symptoms and signs in dementia: synergy and antagonism. , 1996, Dementia.

[33]  C MacKnight,et al.  Conceptualisation and Measurement of Frailty in Elderly People , 2000, Drugs & aging.