» Articles » PMID: 11897015

Frailty, Fitness and Late-life Mortality in Relation to Chronological and Biological Age

Overview
Journal BMC Geriatr
Publisher Biomed Central
Specialty Geriatrics
Date 2002 Mar 19
PMID 11897015
Citations 253
Authors
Affiliations
Soon will be listed here.
Abstract

Background: People age at remarkably different rates, but how to estimate trajectories of senescence is controversial.

Methods: In 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.

Results: The 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.

Conclusions: The 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.

Citing Articles

Predictive value of temporal muscle thickness for prognosis in newly diagnosed IDH wild-type glioblastoma patients: evaluated for a Chinese population.

Zha B, Ma Y, Zha B, Guo X Eur Radiol. 2025; .

PMID: 39884988 DOI: 10.1007/s00330-025-11394-7.


Indication of frailty transitions on 2-year adverse health outcomes among older Chinese inpatients: Insight from a multicenter prospective cohort study.

Yu M, Ding J, Wu X, Wen X, Jin J, Wang H PLoS One. 2025; 20(1):e0313775.

PMID: 39774405 PMC: 11709267. DOI: 10.1371/journal.pone.0313775.


Deprescribing Cardiovascular Medications in Older Adults Living with Frailty.

Ho K, Mallery L, Trenaman S, Searle S, Bata I CJC Open. 2024; 6(12):1503-1512.

PMID: 39735941 PMC: 11681363. DOI: 10.1016/j.cjco.2024.09.008.


Psoas Sarcopaenia Outcomes in Elderly Patients After Acute Lower Gastrointestinal Bleeding.

Cunningham B, McConnell M, Daly A, Rice P, McElvanna K, Kilkenny J Cureus. 2024; 16(11):e74491.

PMID: 39606128 PMC: 11600460. DOI: 10.7759/cureus.74491.


Decoding senescence of aging single cells at the nexus of biomaterials, microfluidics, and spatial omics.

Venkataraman A, Kordic I, Li J, Zhang N, Bharadwaj N, Fang Z NPJ Aging. 2024; 10(1):57.

PMID: 39592596 PMC: 11599402. DOI: 10.1038/s41514-024-00178-w.


References
1.
van Boxtel M, Buntinx F, Houx P, Metsemakers J, Knottnerus A, Jolles J . The relation between morbidity and cognitive performance in a normal aging population. J Gerontol A Biol Sci Med Sci. 1998; 53(2):M147-54. DOI: 10.1093/gerona/53a.2.m147. View

2.
Lipsitz L, Goldberger A . Loss of 'complexity' and aging. Potential applications of fractals and chaos theory to senescence. JAMA. 1992; 267(13):1806-9. View

3.
Mitnitski A, Graham J, Mogilner A, Rockwood K . The rate of decline in function in Alzheimer's disease and other dementias. J Gerontol A Biol Sci Med Sci. 1999; 54(2):M65-9. DOI: 10.1093/gerona/54.2.m65. View

4.
Ferraro K, Wilmoth J . Measuring morbidity: disease counts, binary variables, and statistical power. J Gerontol B Psychol Sci Soc Sci. 2002; 55(3):S173-89. DOI: 10.1093/geronb/55.3.s173. View

5.
Thomas V, Rockwood K, McDowell I . Multidimensionality in instrumental and basic activities of daily living. J Clin Epidemiol. 1998; 51(4):315-21. DOI: 10.1016/s0895-4356(97)00292-8. View