Literature DB >> 15246748

Changes with age in the distribution of a frailty index.

Kenneth Rockwood1, Alexander Mogilner, Arnold Mitnitski.   

Abstract

Models of human mortality include a factor that summarises intrinsic differences in individual rates of ageing, commonly called frailty. Frailty also describes a clinical syndrome of apparent vulnerability. In a representative, cross-sectional, Canadian survey (n = 66,589) we calculated a frailty index as the mean accumulation of deficits and previously showed it to increase exponentially with age. Here, its density function exhibited a monotonic change in shape, being least skewed at the oldest ages. Although the shape gradually changed, the frailty index was well fitted by a gamma distribution. Of note, the variation coefficient, initially high, decreased from middle age on. Being able to quantify frailty means that health risks can be summarised at both the individual and group levels.

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Year:  2004        PMID: 15246748     DOI: 10.1016/j.mad.2004.05.003

Source DB:  PubMed          Journal:  Mech Ageing Dev        ISSN: 0047-6374            Impact factor:   5.432


  45 in total

1.  The frailty index in Europeans: association with age and mortality.

Authors:  Roman Romero-Ortuno; Rose Anne Kenny
Journal:  Age Ageing       Date:  2012-04-19       Impact factor: 10.668

2.  Genetic predisposition for inflammation exacerbates effects of striatal iron content on cognitive switching ability in healthy aging.

Authors:  Ana M Daugherty; David A Hoagey; Kristen M Kennedy; Karen M Rodrigue
Journal:  Neuroimage       Date:  2018-10-25       Impact factor: 6.556

3.  Accumulation of health disorders as a systemic measure of aging: Findings from the NLTCS data.

Authors:  Alexander Kulminski; Anatoli Yashin; Svetlana Ukraintseva; Igor Akushevich; Konstantin Arbeev; Kenneth Land; Kenneth Manton
Journal:  Mech Ageing Dev       Date:  2006-09-14       Impact factor: 5.432

4.  Cumulative index of health disorders as an indicator of aging-associated processes in the elderly: results from analyses of the National Long Term Care Survey.

Authors:  A Kulminski; A Yashin; K Arbeev; I Akushevich; S Ukraintseva; K Land; K Manton
Journal:  Mech Ageing Dev       Date:  2006-12-20       Impact factor: 5.432

5.  Understanding frailty.

Authors:  Frank Lally; Peter Crome
Journal:  Postgrad Med J       Date:  2007-01       Impact factor: 2.401

6.  What age trajectories of cumulative deficits and medical costs tell us about individual aging and mortality risk: Findings from the NLTCS-Medicare data.

Authors:  Anatoli I Yashin; Konstantin G Arbeev; Alexander Kulminski; Igor Akushevich; Lucy Akushevich; Svetlana V Ukraintseva
Journal:  Mech Ageing Dev       Date:  2008-02-01       Impact factor: 5.432

7.  Frailty and mortality among Chinese at advanced ages.

Authors:  Danan Gu; Matthew E Dupre; Jessica Sautter; Haiyan Zhu; Yuzhi Liu; Zeng Yi
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2009-02-04       Impact factor: 4.077

8.  Designing an intelligent health monitoring system and exploring user acceptance for the elderly.

Authors:  Kevin C Tseng; Chien-Lung Hsu; Yu-Hao Chuang
Journal:  J Med Syst       Date:  2013-09-15       Impact factor: 4.460

9.  Social support, stressors, and frailty among older Mexican American adults.

Authors:  M Kristen Peek; Bret T Howrey; Rafael Samper Ternent; Laura A Ray; Kenneth J Ottenbacher
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2012-09-25       Impact factor: 4.077

10.  A frailty index to predict the mortality risk in a population of senior Mexican adults.

Authors:  José Juan García-González; Carmen García-Peña; Francisco Franco-Marina; Luis Miguel Gutiérrez-Robledo
Journal:  BMC Geriatr       Date:  2009-11-03       Impact factor: 3.921

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