Literature DB >> 12594196

Life table methods for quantitative impact assessments in chronic mortality.

B G Miller1, J F Hurley.   

Abstract

Quantitative health impact assessments of chronic mortality, where the impacts are expected to be observed over a number of years, are complicated by the link between death rates and surviving populations. A general calculation framework for quantitative impact assessment is presented, based on standard life table calculation methods, which permits consistent future projections of impacts on mortality from changes in death rates. Implemented as a series of linked spreadsheets, the framework offers complete flexibility in the sex specific, age specific, and year specific patterns of baseline mortality death rates; in the predicted impacts upon these; in the weights or values placed on gains in life; and in the summary measures of impact. Impacts can be differential by cause of death. Some examples are given of predictions of the impacts of reductions in chronic mortality in the populations of England and Wales and of Scotland.

Mesh:

Year:  2003        PMID: 12594196      PMCID: PMC1732393          DOI: 10.1136/jech.57.3.200

Source DB:  PubMed          Journal:  J Epidemiol Community Health        ISSN: 0143-005X            Impact factor:   3.710


  9 in total

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Authors:  P J Veugelers; A L Kim; J R Guernsey
Journal:  J Epidemiol Community Health       Date:  2000-05       Impact factor: 3.710

2.  Public-health impact of outdoor and traffic-related air pollution: a European assessment.

Authors:  N Künzli; R Kaiser; S Medina; M Studnicka; O Chanel; P Filliger; M Herry; F Horak; V Puybonnieux-Texier; P Quénel; J Schneider; R Seethaler; J C Vergnaud; H Sommer
Journal:  Lancet       Date:  2000-09-02       Impact factor: 79.321

Review 3.  Competing risks in mortality analysis.

Authors:  C L Chiang
Journal:  Annu Rev Public Health       Date:  1991       Impact factor: 21.981

4.  The effect of particulate air pollution on life expectancy.

Authors:  J Nevalainen; J Pekkanen
Journal:  Sci Total Environ       Date:  1998-06-30       Impact factor: 7.963

Review 5.  Air pollution and life expectancy: is there a relation?

Authors:  B Brunekreef
Journal:  Occup Environ Med       Date:  1997-11       Impact factor: 4.402

6.  An association between air pollution and mortality in six U.S. cities.

Authors:  D W Dockery; C A Pope; X Xu; J D Spengler; J H Ware; M E Fay; B G Ferris; F E Speizer
Journal:  N Engl J Med       Date:  1993-12-09       Impact factor: 91.245

7.  Particulate air pollution as a predictor of mortality in a prospective study of U.S. adults.

Authors:  C A Pope; M J Thun; M M Namboodiri; D W Dockery; J S Evans; F E Speizer; C W Heath
Journal:  Am J Respir Crit Care Med       Date:  1995-03       Impact factor: 21.405

8.  Changes in life expectancy in the United States due to declines in mortality, 1968-1975.

Authors:  S P Tsai; E S Lee; J A Kautz
Journal:  Am J Epidemiol       Date:  1982-08       Impact factor: 4.897

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

Authors:  S P Tsai; E S Lee; R J Hardy
Journal:  Am J Public Health       Date:  1978-10       Impact factor: 9.308

  9 in total
  22 in total

1.  Determining the lifetime density function using a continuous approach.

Authors:  Rubén Román; Mercè Comas; Lorena Hoffmeister; Xavier Castells
Journal:  J Epidemiol Community Health       Date:  2007-10       Impact factor: 3.710

2.  The health impacts of Indonesian peatland fires.

Authors:  Lars Hein; Joseph V Spadaro; Bart Ostro; Melanie Hammer; Elham Sumarga; Resti Salmayenti; Rizaldi Boer; Hesti Tata; Dwi Atmoko; Juan-Pablo Castañeda
Journal:  Environ Health       Date:  2022-07-06       Impact factor: 7.123

Review 3.  Do the health benefits of cycling outweigh the risks?

Authors:  Jeroen Johan de Hartog; Hanna Boogaard; Hans Nijland; Gerard Hoek
Journal:  Environ Health Perspect       Date:  2010-06-11       Impact factor: 9.031

4.  Health impact assessment of waste management facilities in three European countries.

Authors:  Francesco Forastiere; Chiara Badaloni; Kees de Hoogh; Martin K von Kraus; Marco Martuzzi; Francesco Mitis; Lubica Palkovicova; Daniela Porta; Philipp Preiss; Andrea Ranzi; Carlo A Perucci; David Briggs
Journal:  Environ Health       Date:  2011-06-02       Impact factor: 5.984

5.  How to determine life expectancy change of air pollution mortality: a time series study.

Authors:  Ari Rabl; T Q Thach; P Y K Chau; C M Wong
Journal:  Environ Health       Date:  2011-03-31       Impact factor: 5.984

Review 6.  Black carbon as an additional indicator of the adverse health effects of airborne particles compared with PM10 and PM2.5.

Authors:  Nicole A H Janssen; Gerard Hoek; Milena Simic-Lawson; Paul Fischer; Leendert van Bree; Harry ten Brink; Menno Keuken; Richard W Atkinson; H Ross Anderson; Bert Brunekreef; Flemming R Cassee
Journal:  Environ Health Perspect       Date:  2011-08-02       Impact factor: 9.031

7.  Analysis of air pollution mortality in terms of life expectancy changes: relation between time series, intervention, and cohort studies.

Authors:  Ari Rabl
Journal:  Environ Health       Date:  2006-02-01       Impact factor: 5.984

8.  Potential health impact of increasing adoption of sustainable dietary practices in Sweden.

Authors:  Emma Patterson; Patricia Eustachio Colombo; James Milner; Rosemary Green; Liselotte Schäfer Elinder
Journal:  BMC Public Health       Date:  2021-07-06       Impact factor: 3.295

9.  Parameter and model uncertainty in a life-table model for fine particles (PM2.5): a statistical modeling study.

Authors:  Marko Tainio; Jouni T Tuomisto; Otto Hänninen; Juhani Ruuskanen; Matti J Jantunen; Juha Pekkanen
Journal:  Environ Health       Date:  2007-08-23       Impact factor: 5.984

10.  Air pollution attributable postneonatal infant mortality in U.S. metropolitan areas: a risk assessment study.

Authors:  Reinhard Kaiser; Isabelle Romieu; Sylvia Medina; Joel Schwartz; Michal Krzyzanowski; Nino Künzli
Journal:  Environ Health       Date:  2004-05-05       Impact factor: 5.984

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