Literature DB >> 21562240

Development of a cardiovascular risk score for use in low- and middle-income countries.

Stella Aslibekyan1, Hannia Campos, Eric B Loucks, Crystal D Linkletter, Jose M Ordovas, Ana Baylin.   

Abstract

Summary measures of cardiovascular risk have long been used in public health, but few include nutritional predictors despite extensive evidence linking diet and heart disease. Study objectives were to develop and validate a novel risk score in a case-control study of myocardial infarction (MI) conducted in Costa Rica during 1994-2004. After restricting the data set to healthy participants (n = 1678), conditional logistic regression analyses modeled associations of lifestyle factors (unhealthy diet, decreased physical activity, smoking, waist:hip ratio, low or high alcohol intake, and low socioeconomic status) with risk for MI. Using the estimated coefficients as weights for each component, a regression model was fit to assess score performance. The score was subsequently validated in participants with a history of chronic disease. Higher risk score values were associated with a significantly increased risk of MI [OR = 2.72 (95% CI = 2.28-3.24)]. The findings were replicated in a model (n = 1392) that included the best covariate measures available in the study [OR = 2.71 (95% CI = 2.26-3.26)]. Performance of the score in different subsets of the study population showed c-statistics ranging from 0.63 to 0.67. The new score presents a quantitative summary of modifiable cardiovascular risk factors in the study population.

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Year:  2011        PMID: 21562240      PMCID: PMC3113291          DOI: 10.3945/jn.110.133140

Source DB:  PubMed          Journal:  J Nutr        ISSN: 0022-3166            Impact factor:   4.798


  31 in total

1.  Adjustment for multiple cardiovascular risk factors using a summary risk score.

Authors:  Patrick G Arbogast; Lisa Kaltenbach; Hua Ding; Wayne A Ray
Journal:  Epidemiology       Date:  2008-01       Impact factor: 4.822

Review 2.  Prediction of first coronary events with the Framingham score: a systematic review.

Authors:  Klaus Eichler; Milo A Puhan; Johann Steurer; Lucas M Bachmann
Journal:  Am Heart J       Date:  2007-05       Impact factor: 4.749

3.  Can non-physician health-care workers assess and manage cardiovascular risk in primary care?

Authors:  Dele O Abegunde; Bakuti Shengelia; Anne Luyten; Alexandra Cameron; Francesca Celletti; Sania Nishtar; Vasu Pandurangi; Shanthi Mendis
Journal:  Bull World Health Organ       Date:  2007-06       Impact factor: 9.408

4.  Dietary patterns and the risk of acute myocardial infarction in 52 countries: results of the INTERHEART study.

Authors:  Romaina Iqbal; Sonia Anand; Stephanie Ounpuu; Shofiqul Islam; Xiaohe Zhang; Sumathy Rangarajan; Jephat Chifamba; Ali Al-Hinai; Matyas Keltai; Salim Yusuf
Journal:  Circulation       Date:  2008-10-20       Impact factor: 29.690

Review 5.  Assessment of claims of improved prediction beyond the Framingham risk score.

Authors:  Ioanna Tzoulaki; George Liberopoulos; John P A Ioannidis
Journal:  JAMA       Date:  2009-12-02       Impact factor: 56.272

6.  Challenges to improve coronary heart disease risk assessment.

Authors:  Peter W F Wilson
Journal:  JAMA       Date:  2009-12-02       Impact factor: 56.272

7.  Primary prevention of coronary heart disease in women through diet and lifestyle.

Authors:  M J Stampfer; F B Hu; J E Manson; E B Rimm; W C Willett
Journal:  N Engl J Med       Date:  2000-07-06       Impact factor: 91.245

8.  Socio-economic status and health awareness are associated with choice of cooking oil in Costa Rica.

Authors:  Uriyoán Colón-Ramos; Edmond K Kabagambe; Ana Baylin; Alberto Ascherio; Hannia Campos; Karen E Peterson
Journal:  Public Health Nutr       Date:  2007-03-29       Impact factor: 4.022

9.  Alpha-linolenic acid and risk of nonfatal acute myocardial infarction.

Authors:  Hannia Campos; Ana Baylin; Walter C Willett
Journal:  Circulation       Date:  2008-07-07       Impact factor: 29.690

10.  Prevalence of lifestyle-related cardiovascular risk factors in Peru: the PREVENCION study.

Authors:  Josefina Medina-Lezama; Oscar L Morey-Vargas; Humberto Zea-Díaz; Juan F Bolaños-Salazar; Fernando Corrales-Medina; Carolina Cuba-Bustinza; Diana A Chirinos-Medina; Julio A Chirinos
Journal:  Rev Panam Salud Publica       Date:  2008-09
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  5 in total

1.  A Healthy Lifestyle Score Is Associated with Cardiometabolic and Neuroendocrine Risk Factors among Puerto Rican Adults.

Authors:  Mercedes Sotos-Prieto; Shilpa N Bhupathiraju; Luis M Falcón; Xiang Gao; Katherine L Tucker; Josiemer Mattei
Journal:  J Nutr       Date:  2015-05-06       Impact factor: 4.798

Review 2.  A systematic review of the status and methodological considerations for estimating risk of first ever stroke in the general population.

Authors:  Wei Xu; Jiuyi Huang; Qingsong Yu; Hongfan Yu; Yang Pu; Qiuling Shi
Journal:  Neurol Sci       Date:  2021-03-30       Impact factor: 3.307

3.  Lifestyle Cardiovascular Risk Score, Genetic Risk Score, and Myocardial Infarction in Hispanic/Latino Adults Living in Costa Rica.

Authors:  Mercedes Sotos-Prieto; Ana Baylin; Hannia Campos; Lu Qi; Josiemer Mattei
Journal:  J Am Heart Assoc       Date:  2016-12-20       Impact factor: 5.501

4.  Cardiovascular Disease Prognostic Models in Latin America and the Caribbean: A Systematic Review.

Authors:  Rodrigo M Carrillo-Larco; Carlos Altez-Fernandez; Niels Pacheco-Barrios; Claudia Bambs; Vilma Irazola; J Jaime Miranda; Goodarz Danaei; Pablo Perel
Journal:  Glob Heart       Date:  2019-03

5.  A newly developed and externally validated non-clinical score accurately predicts 10-year cardiovascular disease risk in the general adult population.

Authors:  Catarina Schiborn; Tilman Kühn; Kristin Mühlenbruch; Olga Kuxhaus; Cornelia Weikert; Andreas Fritsche; Rudolf Kaaks; Matthias B Schulze
Journal:  Sci Rep       Date:  2021-10-04       Impact factor: 4.379

  5 in total

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