Literature DB >> 9539891

Predicting future years of healthy life for older adults.

P Diehr1, D L Patrick, D E Bild, G L Burke, J D Williamson.   

Abstract

Cost-effectiveness studies often need to compare the cost of a program to the lifetime benefits of the program, but estimates of lifetime benefits are not routinely available, especially for older adults. We used data from two large longitudinal studies of older adults (ages 65-100) to estimate transition probabilities from one health state to another, and used those probabilities to estimate the mean additional years of healthy life that an older adult of specified age, sex, and health status would experience. We found, for example, that 65-year-old women in excellent health can expect 16.8 years of healthy life in the future, compared to only 8.5 years for women in poor health. We also provide estimates of discounted years of healthy life and future life expectancy. These estimates may be used to extend the effective length of the study period in cost-effectiveness studies, to examine the impact of chronic diseases or risk factors on years of healthy life, or to investigate the relationship of years of life to years of healthy life. Several applications are described.

Entities:  

Mesh:

Year:  1998        PMID: 9539891     DOI: 10.1016/s0895-4356(97)00298-9

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  15 in total

1.  The effect of smoking on years of healthy life (YHL) lost among middle-aged and older Americans.

Authors:  Truls Østbye; Donald H Taylor
Journal:  Health Serv Res       Date:  2004-06       Impact factor: 3.402

2.  Longitudinal Data with Follow-up Truncated by Death: Match the Analysis Method to Research Aims.

Authors:  Brenda F Kurland; Laura L Johnson; Brian L Egleston; Paula H Diehr
Journal:  Stat Sci       Date:  2009       Impact factor: 2.901

3.  Remaining Life Expectancy Measurement and PSA Screening of Older Men.

Authors:  Ashwin A Kotwal; Supriya G Mohile; William Dale
Journal:  J Geriatr Oncol       Date:  2012-07-01       Impact factor: 3.599

4.  Population structure, admixture, and aging-related phenotypes in African American adults: the Cardiovascular Health Study.

Authors:  Alexander P Reiner; Elad Ziv; Denise L Lind; Caroline M Nievergelt; Nicholas J Schork; Steven R Cummings; Angie Phong; Esteban González Burchard; Tamara B Harris; Bruce M Psaty; Pui-Yan Kwok
Journal:  Am J Hum Genet       Date:  2005-01-19       Impact factor: 11.025

5.  Common variants in the CRP gene in relation to longevity and cause-specific mortality in older adults: the Cardiovascular Health Study.

Authors:  Lucia A Hindorff; Kenneth M Rice; Leslie A Lange; Paula Diehr; Indrani Halder; Jeremy Walston; Pui Kwok; Elad Ziv; Caroline Nievergelt; Steven R Cummings; Anne B Newman; Russell P Tracy; Bruce M Psaty; Alexander P Reiner
Journal:  Atherosclerosis       Date:  2007-09-21       Impact factor: 5.162

6.  Age-specific prevalence and years of healthy life in a system with three health states.

Authors:  Paula Diehr; David Yanez; Ann Derleth; Anne B Newman
Journal:  Stat Med       Date:  2008-04-30       Impact factor: 2.373

7.  PROC, PROCR and PROS1 polymorphisms, plasma anticoagulant phenotypes, and risk of cardiovascular disease and mortality in older adults: the Cardiovascular Health Study.

Authors:  A P Reiner; C L Carty; N S Jenny; C Nievergelt; M Cushman; D J Stearns-Kurosawa; S Kurosawa; L H Kuller; L A Lange
Journal:  J Thromb Haemost       Date:  2008-08-01       Impact factor: 5.824

8.  Correlates of improvement in walking ability in older persons in the United States.

Authors:  Joe Feinglass; Jing Song; Larry M Manheim; Pamela Semanik; Rowland W Chang; Dorothy D Dunlop
Journal:  Am J Public Health       Date:  2008-12-23       Impact factor: 9.308

9.  Association between telomere length, specific causes of death, and years of healthy life in health, aging, and body composition, a population-based cohort study.

Authors:  Omer T Njajou; Wen-Chi Hsueh; Elizabeth H Blackburn; Anne B Newman; Shih-Hsuan Wu; Rongling Li; Eleanor M Simonsick; Tamara M Harris; Steve R Cummings; Richard M Cawthon
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2009-05-12       Impact factor: 6.053

10.  Evaluation of a method for fitting a semi-Markov process model in the presence of left-censored spells using the Cardiovascular Health Study.

Authors:  Liming Cai; Nathaniel Schenker; James Lubitz; Paula Diehr; Alice Arnold; Linda P Fried
Journal:  Stat Med       Date:  2008-11-20       Impact factor: 2.373

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.