Egg consumption and risk of cardiovascular disease in the SUN Project

Eur J Clin Nutr. 2011 Jun;65(6):676-82. doi: 10.1038/ejcn.2011.30. Epub 2011 Mar 23.

Abstract

Background/objectives: Egg consumption has been associated with the risk of cardiovascular diseases (CVDs), but evidence is scarce and inconsistent. Our aim was to examine the association between egg consumption and incidence of CVD in a prospective dynamic Mediterranean cohort of 14,185 university graduates.

Subjects/methods: Egg intake was assessed using a 136-item-validated food-frequency questionnaire. Baseline consumption was categorized into no consumption or <1 egg/week, 1 egg/week, 2-4 eggs/week and >4 eggs/week. The presence of cardiovascular risk factors was assessed by questionnaire at baseline, and the incidence of CVD was assessed using biennial assessments. The median follow-up was 6.1 years. Cox regression models were fitted to estimate multivariable-adjusted hazard ratios (HRs) for CVD (myocardial infarction, revascularization procedures or stroke). Outcomes were confirmed by review of medical records.

Results: During a median follow-up of 6.1 years, 91 new confirmed cases of CVD were observed. No association was found between egg consumption and the incidence of CVD (HR: 1.10, 95% confidence interval: 0.46-2.63) for the highest versus the lowest category of egg consumption after adjusting for age, sex, total energy intake, adherence to the Mediterranean food pattern and other cardiovascular risk factors. Results were robust to different analytical scenarios.

Conclusions: No association between egg consumption and the incidence of CVD was found in this Mediterranean cohort.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Cardiovascular Diseases / epidemiology
  • Cardiovascular Diseases / etiology*
  • Diet / adverse effects*
  • Diet Surveys
  • Eggs / adverse effects*
  • Female
  • Follow-Up Studies
  • Humans
  • Incidence
  • Male
  • Mediterranean Region
  • Multivariate Analysis
  • Proportional Hazards Models
  • Risk Factors
  • Surveys and Questionnaires