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Red Meat, Increased Iron Load and CVD Risk

Red Meat Consumption and Risk of Cardiovascular Diseases - is Increased Iron Load a Possible Link?

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT03218020
Enrollment
25540
Registered
2017-07-14
Start date
1994-09-01
Completion date
2009-12-31
Last updated
2017-07-18

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cardiovascular Mortality, Myocardial Infarction, Stroke

Brief summary

Increased iron load could be a risk factor for cardiovascular diseases (CVD). Red meat consumption affects iron status and has also been shown to be related to increased CVD risk. The investigators hypothesized that risk associations between red meat intake and cardiovascular disease risk can to some degree be explained by higher iron load among individuals with higher meat intake. Thus, the investigators evaluate associations between red meat consumption, iron status, and CVD risk in a large-scale population based study, the European Prospective Investigation into Cancer and Nutrition (EPIC) - Heidelberg.

Detailed description

The present study part of the the European Prospective Investigation into Cancer and Nutrition (EPIC) - Heidelberg, a large-scale observational cohort study located at the German Cancer Research Center, Heidelberg, Germany. The study started between 1994 and 1998, when 25 540 adults from the local general population were recruited. Study participants are being followed-up by active and passive procedures. The main aim of the study is to evaluate associations between diet, lifestyle as well as metabolism and risks of major chronic diseases (cancer, cardiovascular diseases, diabetes). Here, the investigators register a project from within EPIC-Heidelberg on prediagnostic iron status as a potential mediator of associations between pre-diagnostic red meat consumption and cardiovascular disease risk. For this particular project, an embedded case-cohort set-up was chosen, i.e. iron status markers (primary marker: serum ferritin; secondary markers: serum transferrin, serum iron) were measured in baseline blood samples from a random subcohort (n=2738) and all validated incident cases of myocardial infarction (n=556), stroke (n=513), and CVD death (n=327) that occured until the closure date of the present study (12-31-2009). Statistical analyses follow four steps to assess whether iron status may mediate associations between red meat consumption and CVD risk, as proposed by Wittenbecher et al. (Am J Clin Nutr, 2015: www.ncbi.nlm.nih.gov/pubmed/25948672): 1. Multivariable Cox regression analyses on red meat consumption and CVD risk, assuming a significant positive association 2. Multivariable linear regression analyses on red meat consumption and iron status, assuming a significant positive association 3. Multivariable Cox regression analyses on iron status and CVD risk, assuming a significant positive association 4. Multivariable Cox regression analyses on red meat consumption and CVD risk, additionally adjusting for iron status, assuming that the association will be attenuated by adjustment for iron status

Interventions

OTHERNo intervention assigned, this is an observational study.

No intervention assigned, this is an observational study.

Sponsors

German Cancer Research Center
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
35 Years to 65 Years

Inclusion criteria

General population, age 35-65 years

Exclusion criteria

Prevalent myocardial infraction or stroke

Design outcomes

Primary

MeasureTime frameDescription
Myocardial infraction1994 - 2009Incident cases of primary myocardial infarction according to clinical records
Stroke1994 - 2009Incident cases of primary stroke according to clinical records
Cardiovascular death1994 - 2009Incident cases of cardiovascular death according to death certificates

Countries

Germany

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026