Literature DB >> 7125029

New dimensions in cause of death statistics.

R F Chamblee, M C Evans.   

Abstract

This article discusses the limitations of traditional national cause of death statistics. These limitations derive from an attempt to conceptualize a multidimensional phenomenon and reduce down to a unidimensional framework. The article outlines the characteristics of a new multidimensional approach which involves the codification and tabulation of all causes (multiple causes) listed on death certificates. Preliminary data are presented which illustrate that multiple cause of death data do indeed represent a major new dimension to cause of death statistics. These data indicate that most major causes of death are contributory factors in many deaths in which they are not the underlying cause of death. For example, in 1976, diabetes mellitus was the underlying cause of approximately 35,000 deaths but was a contributing factor in another 100,000 deaths. This paper also demonstrates the contribution of multiple cause of death data to identifying patterns of association among diseases and the kinds of injuries resulting from various external causes. Finally, data are presented which depict the use of multiple cause data in evaluating the efficacy of the coding rules used to classify the underlying cause of death.

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Year:  1982        PMID: 7125029      PMCID: PMC1650437          DOI: 10.2105/ajph.72.11.1265

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


  5 in total

1.  USES AND SIGNIFICANCE OF MULTIPLE CAUSE TABULATIONS FOR MORTALITY STATISTICS.

Authors:  H F DORN; I M MORIYAMA
Journal:  Am J Public Health Nations Health       Date:  1964-03

2.  CONTRIBUTORY CAUSES OF DEATH-THEIR IMPORTANCE AND SUGGESTIONS FOR THEIR CLASSIFICATION.

Authors:  L I Dublin; G H Van Buren
Journal:  Am J Public Health (N Y)       Date:  1924-02

3.  Importance of Tabulating Multiple Causes of Death.

Authors:  T A Janssen
Journal:  Am J Public Health Nations Health       Date:  1940-08

4.  A multiple cause of death analysis of hypertension-related mortality in North Carolina, 1968-1977.

Authors:  S Wing; K G Manton
Journal:  Am J Public Health       Date:  1981-08       Impact factor: 9.308

5.  On the distribution of underlying causes of death.

Authors:  A M Gittelsohn
Journal:  Am J Public Health       Date:  1982-02       Impact factor: 9.308

  5 in total
  19 in total

1.  [Mortality analysis: when is single evaluation of the basic cause of death allowable, when should multi-causality be assessed?].

Authors:  V Beer; M T Schick; C E Minder
Journal:  Soz Praventivmed       Date:  1990

2.  Misclassification of coronary heart disease in mortality statistics. Evidence from the WHO-MONICA Ghent-Charleroi Study in Belgium.

Authors:  S De Henauw; P de Smet; W Aelvoet; M Kornitzer; G De Backer
Journal:  J Epidemiol Community Health       Date:  1998-08       Impact factor: 3.710

3.  Washington State abdominal aortic aneurysm-related mortality shows a steady decline between 1996 and 2016.

Authors:  Matthew A Bartek; Larry G Kessler; Jennifer M Talbott; Jimmy Nguyen; Sherene Shalhub
Journal:  J Vasc Surg       Date:  2019-03-06       Impact factor: 4.268

4.  Morbidity and mortality from diabetes mellitus: a look at preventable aspects.

Authors:  O P Ganda
Journal:  Am J Public Health       Date:  1983-10       Impact factor: 9.308

5.  A population-based analysis of pneumococcal disease mortality in California, 1989-1998.

Authors:  Matthew D Redelings; Frank Sorvillo; Paul Simon
Journal:  Public Health Rep       Date:  2005 Mar-Apr       Impact factor: 2.792

6.  Epidemiologic characteristics of mortality from diabetes with acidosis or coma, United States, 1970-78.

Authors:  R C Holman; C A Herron; P Sinnock
Journal:  Am J Public Health       Date:  1983-10       Impact factor: 9.308

7.  Value of mortality data and necropsy records in monitoring morbidity in a population.

Authors:  G Károlyi; P Károlyi
Journal:  J Epidemiol Community Health       Date:  1991-09       Impact factor: 3.710

8.  Suicide-associated comorbidity among US males and females: a multiple cause-of-death analysis.

Authors:  Ian R H Rockett; Shuhui Wang; Yinjuan Lian; Steven Stack
Journal:  Inj Prev       Date:  2007-10       Impact factor: 2.399

9.  Use of multiple causes of death in the analysis of occupational cohorts--an example from the oil industry.

Authors:  L Rushton
Journal:  Occup Environ Med       Date:  1994-11       Impact factor: 4.402

10.  Causes of death in diarrhoeal diseases after rehydration therapy: an autopsy study of 140 patients in Bangladesh.

Authors:  T Butler; M Islam; A K Azad; M R Islam; P Speelman
Journal:  Bull World Health Organ       Date:  1987       Impact factor: 9.408

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