Literature DB >> 9549004

Community occupational structure, medical and economic resources, and coronary mortality among U.S. blacks and whites, 1980-1988.

D Armstrong1, E Barnett, M Casper, S Wing.   

Abstract

PURPOSE: To examine the association between coronary heart disease (CHD) mortality, economic and medical resources, and county occupational structure.
METHODS: U.S. counties were classified into five occupational structure categories based on the percentage of workers in white-collar occupations. Directly age-adjusted CHD mortality rates (from vital statistics and Census data) and economic and medical care data (from Census and Area Resource File data) were calculated for each occupational structure category. Participants were black and white, men and women, aged 35-64 years, in the U.S. during 1980-88. CHD mortality rates and economic and medical care data were compared across occupational structure categories.
RESULTS: Among blacks, CDH rates were highest in counties with intermediate levels of occupational structure; rates among whites were inversely associated with occupational structure. Per capita levels of income and numbers of medical-care providers were positively associated with occupational structure.
CONCLUSION: Strategies to improve the resources of disadvantaged communities and the access of black workers to local occupational opportunities may be important for CHD prevention in high risk populations.

Entities:  

Mesh:

Year:  1998        PMID: 9549004     DOI: 10.1016/s1047-2797(97)00202-0

Source DB:  PubMed          Journal:  Ann Epidemiol        ISSN: 1047-2797            Impact factor:   3.797


  14 in total

1.  Joint effects of social class and community occupational structure on coronary mortality among black men and white men, upstate New York, 1988-92.

Authors:  D L Armstrong; D Strogatz; E Barnett; R Wang
Journal:  J Epidemiol Community Health       Date:  2003-05       Impact factor: 3.710

Review 2.  Measuring contextual characteristics for community health.

Authors:  Marianne M Hillemeier; John Lynch; Sam Harper; Michele Casper
Journal:  Health Serv Res       Date:  2003-12       Impact factor: 3.402

3.  Early-life and adult socioeconomic status and inflammatory risk markers in adulthood.

Authors:  Ricardo A Pollitt; Jay S Kaufman; Kathryn M Rose; Ana V Diez-Roux; Donglin Zeng; Gerardo Heiss
Journal:  Eur J Epidemiol       Date:  2007-01-17       Impact factor: 8.082

4.  Trends in coronary mortality and community services, associated with occupational structure in New York State, 1980-96.

Authors:  D L Armstrong; D Strogatz; R Wang
Journal:  J Epidemiol Community Health       Date:  2002-11       Impact factor: 3.710

5.  Local increases in coronary heart disease mortality among blacks and whites in the United States, 1985-1995.

Authors:  E Barnett; J Halverson
Journal:  Am J Public Health       Date:  2001-09       Impact factor: 9.308

6.  Disparities in premature coronary heart disease mortality by region and urbanicity among black and white adults ages 35-64, 1985-1995.

Authors:  E Barnett; J Halverson
Journal:  Public Health Rep       Date:  2000 Jan-Feb       Impact factor: 2.792

7.  Neighbourhood deprivation and incidence of coronary heart disease: a multilevel study of 2.6 million women and men in Sweden.

Authors:  K Sundquist; M Malmström; S-E Johansson
Journal:  J Epidemiol Community Health       Date:  2004-01       Impact factor: 3.710

8.  Area deprivation and widening inequalities in US mortality, 1969-1998.

Authors:  Gopal K Singh
Journal:  Am J Public Health       Date:  2003-07       Impact factor: 9.308

9.  Associations of environmental factors with elderly health and mortality in China.

Authors:  Yi Zeng; Danan Gu; Jama Purser; Helen Hoenig; Nicholas Christakis
Journal:  Am J Public Health       Date:  2009-12-17       Impact factor: 9.308

10.  Exploring racial disparities in CHD mortality between blacks and whites across the United States: a geographically weighted regression approach.

Authors:  Samson Y Gebreab; Ana V Diez Roux
Journal:  Health Place       Date:  2012-06-30       Impact factor: 4.078

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