Literature DB >> 717606

The effect of a reduction in leading causes of death: potential gains in life expectancy.

S P Tsai, E S Lee, R J Hardy.   

Abstract

The potential gains in total expectation of life and in the working life ages among the United States population are examined when the three leading causes of death are totally or partially eliminated. The impressive gains theoretically achieved by total elimination do not hold up under the more realistic assumption of partial elimination or reduction. The number of years gained by a new-born child, with a 30 per cent reduction in major cardiovascular diseases would be 1.98 years, for malignant neoplasms 0.71 years, and for motor vehicle accidents 0.21 years. Application of the same reduction to the working ages, 15 to 70 years, results in a gain of 0.43, 0.26, and 0.14 years, respectively for the three leading causes of death. Even with a scientific break-through in combating these causes of death, it appears that future gains in life expectancies for the working ages will not be spectacular. The implication of the results in relation to the current debate on the national health care policy is noted.

Entities:  

Mesh:

Year:  1978        PMID: 717606      PMCID: PMC1654082          DOI: 10.2105/ajph.68.10.966

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


  4 in total

1.  PUBLIC HEALTH IN EASTERN MACEDONIA.

Authors:  P D White
Journal:  Am J Public Health (N Y)       Date:  1920-01

2.  Estimates of coverage of the population by sex, race, and age in the 1970 census.

Authors:  J S Siegel
Journal:  Demography       Date:  1974-02

3.  On the use of partial life expectancies in setting health goals.

Authors:  J C Hickman; R J Estell
Journal:  Am J Public Health Nations Health       Date:  1969-12

4.  What difference would it make if cancer were eradicated? An examination of the Taeuber paradox.

Authors:  N Keyfitz
Journal:  Demography       Date:  1977-11
  4 in total
  25 in total

1.  Gains in life expectancy after elimination of major causes of death: revised estimates taking into account the effect of competing causes.

Authors:  J P Mackenbach; A E Kunst; H Lautenbach; Y B Oei; F Bijlsma
Journal:  J Epidemiol Community Health       Date:  1999-01       Impact factor: 3.710

2.  Life table methods for quantitative impact assessments in chronic mortality.

Authors:  B G Miller; J F Hurley
Journal:  J Epidemiol Community Health       Date:  2003-03       Impact factor: 3.710

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

Authors:  W J Nusselder; K van der Velden; J L van Sonsbeek; M E Lenior; G A van den Bos
Journal:  Am J Public Health       Date:  1996-02       Impact factor: 9.308

4.  Estimating life expectancy using an age-cohort model in Taiwan.

Authors:  W C Lee; R L Hsieh
Journal:  J Epidemiol Community Health       Date:  1996-04       Impact factor: 3.710

Review 5.  Linear genetics, non-linear epigenetics: complementary approaches to understanding complex diseases.

Authors:  R C Strohman
Journal:  Integr Physiol Behav Sci       Date:  1995 Sep-Dec

6.  Quantifying the future impact of disease on society: life table-based measures of potential life lost.

Authors:  W C Lee
Journal:  Am J Public Health       Date:  1997-09       Impact factor: 9.308

7.  The current differential in black and white life expectancy.

Authors:  V M Keith; D P Smith
Journal:  Demography       Date:  1988-11

8.  A generalization of life expectancy which incorporates the age distribution of the population and its use in the measurement of the impact of mortality reduction.

Authors:  S C Newman
Journal:  Demography       Date:  1986-05

9.  Pursuing longevity: delay vs elimination of degenerative diseases.

Authors:  S J Olshansky
Journal:  Am J Public Health       Date:  1985-07       Impact factor: 9.308

10.  Improving life expectancy: an uphill road ahead.

Authors:  N Deyfitz
Journal:  Am J Public Health       Date:  1978-10       Impact factor: 9.308

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