Literature DB >> 9384261

The effect of deviations from trends in national income on mortality: the Danish and USA data revisited.

R Catalano1.   

Abstract

The issue of whether deviations from trends in national income predict mortality in Denmark is revisited. Earlier research has yielded mixed results. The hypothesis that increases, but not decreases, in inflation-adjusted per capita income are related to decreases in age standardized mortality is tested using methods responsive to criticisms of earlier work. Results support the hypothesis. The implications of the findings for research and policy are briefly discussed.

Mesh:

Year:  1997        PMID: 9384261     DOI: 10.1023/a:1007408208962

Source DB:  PubMed          Journal:  Eur J Epidemiol        ISSN: 0393-2990            Impact factor:   8.082


  7 in total

1.  Poorer is riskier.

Authors:  J D Graham; B H Chang; J S Evans
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3.  Does unemployment cause the death rate peak in each business cycle? A multifactor model of death rate change.

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Authors:  R Catalano; S Serxner
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Authors:  R C Kessler; J S House; J B Turner
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6.  Mortality and the national economy. A review, and the experience of England and Wales, 1936--76.

Authors:  M H Brenner
Journal:  Lancet       Date:  1979-09-15       Impact factor: 79.321

7.  Health effects of economic instability: a test of economic stress hypothesis.

Authors:  R Catalano; D Dooley
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  7 in total
  4 in total

1.  Macroeconomic fluctuations and mortality in postwar Japan.

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Review 2.  The health effects of economic decline.

Authors:  Ralph Catalano; Sidra Goldman-Mellor; Katherine Saxton; Claire Margerison-Zilko; Meenakshi Subbaraman; Kaja LeWinn; Elizabeth Anderson
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3.  Effect of the Great Recession on regional mortality trends in Europe.

Authors:  Joan Ballester; Jean-Marie Robine; François R Herrmann; Xavier Rodó
Journal:  Nat Commun       Date:  2019-02-08       Impact factor: 14.919

4.  Is there a link between all-cause mortality and economic fluctuations?

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Journal:  Scand J Public Health       Date:  2021-10-20       Impact factor: 3.021

  4 in total

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