Literature DB >> 12157867

Projecting the future size and health status of the U.S. elderly population.

K G Manton, E Stallard, B Singer.   

Abstract

"A projection model based on a multivariate continuous state, stochastic process is presented. The model allows multiple time-varying covariates to be used so parameters can be estimated from time series information on health changes and mortality, and their interaction. Health changes are simulated by altering parameters controlling the age trajectory and diffusion of risk factor means, variances, and covariances....By increasing the information used in projections it may be possible to better (a) anticipate the state of health at extreme ages, (b) forecast changes in health at specific ages over time, (c) stimulate the effects of specific interventions, and (d) determine the sensitivity of outcomes to a range of interventions." excerpt

Keywords:  Adult; Age Factors; Aged; Americas; Demographic Factors; Developed Countries; Estimation Technics; Health; Models, Theoretical; North America; Northern America; Population; Population Characteristics; Population Dynamics; Population Forecast; Population Projection; Population Size; Research Methodology; United States

Mesh:

Year:  1992        PMID: 12157867     DOI: 10.1016/0169-2070(92)90057-g

Source DB:  PubMed          Journal:  Int J Forecast        ISSN: 0169-2070


  10 in total

1.  Reconsidering mortality compression and deceleration: an alterative model of mortality rates.

Authors:  S M Lynch; J S Brown
Journal:  Demography       Date:  2001-02

2.  Assessing and forecasting population health: integrating knowledge and beliefs in a comprehensive framework.

Authors:  Jeroen Van Meijgaard; Jonathan E Fielding; Gerald F Kominski
Journal:  Public Health Rep       Date:  2009 Nov-Dec       Impact factor: 2.792

3.  The effects of health changes on projections of health service needs for the elderly population of the United States.

Authors:  B H Singer; K G Manton
Journal:  Proc Natl Acad Sci U S A       Date:  1998-12-22       Impact factor: 11.205

Review 4.  Changes in the age dependence of mortality and disability: cohort and other determinants.

Authors:  K G Manton; E Stallard; L Corder
Journal:  Demography       Date:  1997-02

Review 5.  A theory of technophysio evolution, with some implications for forecasting population, health care costs, and pension costs.

Authors:  R W Fogel; D L Costa
Journal:  Demography       Date:  1997-02

6.  Modeling and forecasting health expectancy: theoretical framework and application.

Authors:  Istvan M Majer; Ralph Stevens; Wilma J Nusselder; Johan P Mackenbach; Pieter H M van Baal
Journal:  Demography       Date:  2013-04

7.  Medical cost trajectories and onsets of cancer and noncancer diseases in US elderly population.

Authors:  Igor Akushevich; Julia Kravchenko; Lucy Akushevich; Svetlana Ukraintseva; Konstantin Arbeev; Anatoliy I Yashin
Journal:  Comput Math Methods Med       Date:  2011-06-01       Impact factor: 2.238

Review 8.  Joint Analyses of Longitudinal and Time-to-Event Data in Research on Aging: Implications for Predicting Health and Survival.

Authors:  Konstantin G Arbeev; Igor Akushevich; Alexander M Kulminski; Svetlana V Ukraintseva; Anatoliy I Yashin
Journal:  Front Public Health       Date:  2014-11-06

9.  stpm: an R package for stochastic process model.

Authors:  Ilya Y Zhbannikov; Konstantin Arbeev; Igor Akushevich; Eric Stallard; Anatoliy I Yashin
Journal:  BMC Bioinformatics       Date:  2017-02-23       Impact factor: 3.169

10.  Optimal Versus Realized Trajectories of Physiological Dysregulation in Aging and Their Relation to Sex-Specific Mortality Risk.

Authors:  Konstantin G Arbeev; Alan A Cohen; Liubov S Arbeeva; Emmanuel Milot; Eric Stallard; Alexander M Kulminski; Igor Akushevich; Svetlana V Ukraintseva; Kaare Christensen; Anatoliy I Yashin
Journal:  Front Public Health       Date:  2016-01-25
  10 in total

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