Literature DB >> 11555123

Geographical pattern of female deaths from myocardial infarction in an urban population: fatal outcome out-of-hospital related to socio-economic deprivation.

P Tydén1, G Engström, O Hansen, B Hedblad, L Janzon.   

Abstract

OBJECTIVE: This study of myocardial infarction (MI) amongst urban women has sought to assess whether there are differences in fatal outcome, in-hospital respectively out-of-hospital, between residential areas defined in terms of socio-economic circumstances.
DESIGN: Register-based surveillance study 1986-95.
SETTING: Seventeen residential areas in the city of Malmö, Sweden.
SUBJECTS: Women 20-74 years of age. MAIN OUTCOME MEASURES: Differences in fatal outcome, in-hospital respectively out-of-hospital, between residential areas were expressed in terms of age-adjusted odds ratios (ORs), calculated by means of logistic regression. Socio-economic circumstances in the areas were expressed in terms of a composite score.
RESULTS: Between residential areas there were marked and statistically significant differences in incidence (range 124-328/10(5), P < 0.001, d.f.=16) and mortality (range 38-132/10(5), P < 0.005, d.f.=16). Area rates of mortality covaried with incidence (r=0.85, P < 0.001) and with odds ratios of fatal outcome out-of-hospital (r=0.52, P=0.031) but not in-hospital. The odds ratios of fatal outcome out-of-hospital decreased in a statistically significant stepwise fashion from areas in the lowest socio-economic quintile (reference) to areas in the highest socio-economic quintile (OR: 0.67, 95% CI: 0.48-0.94). There was no corresponding association with the odds ratios of fatal outcome in-hospital.
CONCLUSIONS: The high rate of mortality from MI amongst women in areas with deprived socio-economic circumstances was related to deaths occurring out-of-hospital. In order to assess the preventive potential there is a need for further studies that may clarify to what extent the association with socio-economic circumstances can be explained by other factors and conditions known to influence the probability of survival.

Entities:  

Mesh:

Year:  2001        PMID: 11555123     DOI: 10.1046/j.1365-2796.2001.00877.x

Source DB:  PubMed          Journal:  J Intern Med        ISSN: 0954-6820            Impact factor:   8.989


  5 in total

1.  Myocardial infarction in an urban population: worse long term prognosis for patients from less affluent residential areas.

Authors:  P Tydén; O Hansen; G Engström; B Hedblad; L Janzon
Journal:  J Epidemiol Community Health       Date:  2002-10       Impact factor: 3.710

2.  Marital status and occupation in relation to short-term case fatality after a first coronary event--a population based cohort.

Authors:  Sofia Gerward; Patrik Tydén; Gunnar Engström; Bo Hedblad
Journal:  BMC Public Health       Date:  2010-05-10       Impact factor: 3.295

3.  A multilevel analysis of absence of transport to a hospital before premature cardiac death.

Authors:  Elizabeth Barnett Pathak; Michele L Casper; Jean Paul Tanner; Steven Reader; Beverly Ward
Journal:  Prev Chronic Dis       Date:  2010-04-15       Impact factor: 2.830

4.  Behavior in a stressful situation, personality factors, and disease severity in patients with acute myocardial infarction: baseline findings from the prospective cohort study SECAMI (the Secondary Prevention and Compliance following Acute Myocardial Infarction study).

Authors:  Lena André-Petersson; Mona Schlyter; Gunnar Engström; Patrik Tydén; Bo Hedblad
Journal:  BMC Cardiovasc Disord       Date:  2011-07-21       Impact factor: 2.298

5.  Social and demographic predictors of no transport prior to premature cardiac death: United States 1999-2000.

Authors:  Elizabeth Barnett; Steven Reader; Beverly G Ward; Michele L Casper
Journal:  BMC Cardiovasc Disord       Date:  2006-11-15       Impact factor: 2.298

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.