Literature DB >> 8633734

The elimination of selected chronic diseases in a population: the compression and expansion of morbidity.

W J Nusselder1, K van der Velden, J L van Sonsbeek, M E Lenior, G A van den Bos.   

Abstract

OBJECTIVES: This study evaluates the effect of eliminating a specific disease on the mortality, long-term disability, and overall health status of a population. Primarily, it examines whether elimination leads to a compression of morbidity.
METHODS: The Sullivan method was used to calculate disability-free life expectancy. Cause-deleted disability prevalence was estimated with a multiple logistic regression model that used data from the Dutch National Survey of General Practice. Cause-deleted probabilities of dying were derived with the cause-elimination life-table technique, assuming independence among competing causes of death.
RESULTS: Eliminating disabling nonfatal diseases such as arthritis/back complaints results in a decline in life expectancy with disability--that is, an absolute compression of morbidity. Eliminating highly fatal diseases such as cancer leads to an increase in the number of years and the proportion of life with disability--that is, a relative expansion of morbidity.
CONCLUSIONS: While eliminating fatal diseases leads to an increase in disability-free life expectancy, life expectancy with disability may increase as well. This represents an increasing burden to society. On the other hand, eliminating nonfatal disabling diseases leads to absolute compression of morbidity.

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Year:  1996        PMID: 8633734      PMCID: PMC1380326          DOI: 10.2105/ajph.86.2.187

Source DB:  PubMed          Journal:  Am J Public Health        ISSN: 0090-0036            Impact factor:   9.308


  20 in total

1.  Reporting chronic conditions in the National Health Interview Survey. A review of findings from evaluation studies and methodological test.

Authors:  T B Jabine
Journal:  Vital Health Stat 2       Date:  1987-08

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Journal:  Milbank Q       Date:  1988       Impact factor: 4.911

4.  Health expectancy: an indicator for change? Technology Assessment Methods Project Team.

Authors:  J J Barendregt; L Bonneux; P J Van der Maas
Journal:  J Epidemiol Community Health       Date:  1994-10       Impact factor: 3.710

5.  Potential gains in life expectancy free of disability: a tool for health planning.

Authors:  A Colvez; M Blanchet
Journal:  Int J Epidemiol       Date:  1983-06       Impact factor: 7.196

6.  Disability assessment in population surveys: results of the O.E.C.D. Common Development Effort.

Authors:  J R McWhinnie
Journal:  Rev Epidemiol Sante Publique       Date:  1981       Impact factor: 1.019

7.  The compression of morbidity: miscellaneous comments about a theme.

Authors:  J F Fries
Journal:  Gerontologist       Date:  1984-08

8.  Changing concepts of morbidity and mortality in the elderly population.

Authors:  K G Manton
Journal:  Milbank Mem Fund Q Health Soc       Date:  1982

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Authors:  J F Fries
Journal:  N Engl J Med       Date:  1980-07-17       Impact factor: 91.245

10.  The compression of morbidity.

Authors:  J F Fries
Journal:  Milbank Mem Fund Q Health Soc       Date:  1983
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  21 in total

1.  Quality of life as an instrument for need assessment and outcome assessment of health care in chronic patients.

Authors:  G A van den Bos; A H Triemstra
Journal:  Qual Health Care       Date:  1999-12

2.  Measuring the health burden of chronic disease and injury using health adjusted life expectancy and the Health Utilities Index.

Authors:  D G Manuel; S E Schultz; J A Kopec
Journal:  J Epidemiol Community Health       Date:  2002-11       Impact factor: 3.710

3.  Decomposition of differences in health expectancy by cause.

Authors:  Wilma J Nusselder; Caspar W Looman
Journal:  Demography       Date:  2004-05

4.  Age at death and rectangularisation of the survival curve: trends in Switzerland, 1969-1994.

Authors:  F Paccaud; C Sidoti Pinto; A Marazzi; J Mili
Journal:  J Epidemiol Community Health       Date:  1998-07       Impact factor: 3.710

5.  Diabetes and its impact on health-related quality of life: a life table analysis.

Authors:  Khokan C Sikdar; Peizhong Peter Wang; Don MacDonald; Veerabhadra G Gadag
Journal:  Qual Life Res       Date:  2010-03-27       Impact factor: 4.147

6.  Smoking and the compression of morbidity.

Authors:  W J Nusselder; C W Looman; P J Marang-van de Mheen; H van de Mheen; J P Mackenbach
Journal:  J Epidemiol Community Health       Date:  2000-08       Impact factor: 3.710

7.  The contribution of six chronic conditions to the total burden of mobility disability in the Dutch population.

Authors:  H S Picavet; G A van den Bos
Journal:  Am J Public Health       Date:  1997-10       Impact factor: 9.308

8.  The contributions of diseases to disability burden among the elderly population in China.

Authors:  He Chen; Haochen Wang; Eileen M Crimmins; Gong Chen; Chengli Huang; Xiaoying Zheng
Journal:  J Aging Health       Date:  2013-12-24

9.  Health-adjusted life expectancy in HIV-positive and HIV-negative men and women in British Columbia, Canada: a population-based observational cohort study.

Authors:  Robert S Hogg; Oghenowede Eyawo; Alexandra B Collins; Wendy Zhang; Shahab Jabbari; Mark W Hull; Viviane Dias Lima; Tareq Ahmed; Claire E Kendall; Keri N Althoff; Amy C Justice; Rolando Barrios; Jeannie Shoveller; Julio S G Montaner
Journal:  Lancet HIV       Date:  2017-03-03       Impact factor: 12.767

10.  Contribution of chronic disease to the burden of disability.

Authors:  Bart Klijs; Wilma J Nusselder; Caspar W Looman; Johan P Mackenbach
Journal:  PLoS One       Date:  2011-09-22       Impact factor: 3.240

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