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Education and risk for acute myocardial infarction in 52 high, middle and low-income countries: INTERHEART case-control study
Rosengren, A; Subramanian, SV; Islam, V; Chow, C K; Avezum, Alvaro; Kazmi, K; Sliwa, K; Zubaid, M; Rangarajan, S; Yusuf, Salim.
Affiliation
  • Rosengren, A; Institute of Medicine Sahlgrenska Academy. SE
  • Subramanian, SV; Harvard School of Public Health. US
  • Islam, V; Hamilton Health Sciences. CA
  • Chow, C K; Hamilton Health Sciences. CA
  • Avezum, Alvaro; Instituto Dante Pazzanese de Cardiologia. BR
  • Kazmi, K; Department of Cardiology. PK
  • Sliwa, K; Chris Hani Baragwanath Hospital. ZA
  • Zubaid, M; Faculty of Medicine. KW
  • Rangarajan, S; Hamilton Health Sciences. CA
  • Yusuf, Salim; Population Health Research Institute. US
Heart ; 95: 2014-2022, 2011.
Article in En | SES-SP, SESSP-IDPCPROD, SES-SP | ID: biblio-1063267
Responsible library: BR79.1
Localization: BR79.1
ABSTRACT

Objective:

To determine the effect of education and other measures of socioeconomic status (SES) on risk ofacute myocardial infarction (AMI) in patients and controls from countries with diverse economic circumstances(high, middle, and low income countries).

Design:

Case-control study.

Setting:

52 countries from all inhabited regions of the world.

Participants:

12242 cases and 14622 controls. Main outcome

measures:

First non-fatal AMI.

Results:

SES was measured using education, familyincome, possessions in the household and occupation. Low levels of education ((8 years) were more commonin cases compared to controls (45.0% and 38.1%; p,0.0001). The odds ratio (OR) for low education adjusted for age, sex and region was 1.56 (95% confidence interval 1.47 to 1.66). After further adjustment for psychosocial, lifestyle, other factors and mutually forother socioeconomic factors, the OR associated with education (8 years was 1.31 (1.20 to 1.44) (p,0.0001). Modifiable lifestyle factors (smoking, exercise, consumption of vegetables and fruits, alcohol and abdominal obesity) explained about half of the socioeconomic gradient. Family income, numbers of possessions and non-professional occupation were only weakly or not at all independently related to AMI. In high-income countries (World Bank Classification), the risk factor adjusted OR associated with low education was 1.61 (1.33 to 1.94), whereas it was substantially lower in lowincome and middle-income countries 1.25 (1.14 to 1.37) (p for interaction 0.045).

Conclusion:

Of the SES measures we studied, low education was the marker most consistently associated with increased risk for AMI globally, most markedly in high-income countries.
Subject(s)
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Collection: 06-national / BR Database: SES-SP / SESSP-IDPCPROD Main subject: Case-Control Studies / Education / Myocardial Infarction Type of study: Etiology_studies / Observational_studies / Risk_factors_studies Aspects: Determinantes_sociais_saude Language: En Journal: Heart Year: 2011 Document type: Article
Search on Google
Collection: 06-national / BR Database: SES-SP / SESSP-IDPCPROD Main subject: Case-Control Studies / Education / Myocardial Infarction Type of study: Etiology_studies / Observational_studies / Risk_factors_studies Aspects: Determinantes_sociais_saude Language: En Journal: Heart Year: 2011 Document type: Article