title: A limit to frailty in very old, community-dwelling people: a secondary analysis of the Chinese longitudinal health and longevity study.
abstract: BACKGROUND
  it has been observed that a frailty index (FI) is limited by the value of 0.7. Whether this holds in countries with higher mortality rates is not known.
  
  
  OBJECTIVE
  to test for and quantify a limit in very old Chinese adults and to relate mortality risk to the FI.
  
  
  METHODS
  secondary analysis of four waves (1998, 2000, 2002 and 2005) of the Chinese Longitudinal Health and Longevity Study (CLHLS).
  
  
  METHODS
  a total of 6,300 people from 22 of 31 provinces in China, aged 80-99 years at baseline and followed up to 7 years.
  
  
  METHODS
  an FI was calculated as the ratio of actual to 38 possible health deficits. Frequency distributions were used to evaluate the limit to the FI. Logistic regression and survival analysis were used to evaluate the relationship between the FI and mortality.
  
  
  RESULTS
  at each wave, a 99% submaximal limit to frailty was observed at FI = 0.7, despite consecutive losses to death. The death rate for those who were healthiest at baseline (i.e. those in whom the baseline FI = 0) increased from 0.18 at the 2-year follow-up to 0.69 by 7 years. At each wave, 100% mortality at 2 years was observed at FI close to 0.67. A baseline FI >0.45 was associated with 100% 7-year mortality.
  
  
  CONCLUSIONS
  a limit to frailty occurred with FI = 0.7 which was not exceeded at any age or in any wave. There appears to be a demonstrable limit to the number of health problems that people can tolerate.
authors.affiliation: Geriatric Medicine Research Unit, Dalhousie University, Halifax, Nova Scotia, Canada.
authors.forename: Stephanie
authors.initials: S
authors.lastname: Bennett
authors.forename: Xiaowei
authors.initials: X
authors.lastname: Song
authors.forename: Arnold
authors.initials: A
authors.lastname: Mitnitski
authors.forename: Kenneth
authors.initials: K
authors.lastname: Rockwood
mesh_terms: D000367:Age Factors; D000369:Aged, 80 and over; D000375:Aging / Q000208:ethnology*; D044466:Asian People / Q000706:statistics & numerical data*; D002423:Cause of Death; D002681:China / Q000453:epidemiology; D005260:Female; D016330:Frail Elderly / Q000706:statistics & numerical data*; D015577:Geriatric Assessment; D006305:Health Status Indicators; D006801:Humans; D057187:Independent Living / Q000706:statistics & numerical data*; D053208:Kaplan-Meier Estimate; D016018:Least-Squares Analysis; D016015:Logistic Models; D008137:Longitudinal Studies; D008297:Male; D009026:Mortality / Q000208:ethnology; D016016:Proportional Hazards Models; D011795:Surveys and Questionnaires; D013997:Time Factors