Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 515

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Dietary Patterns and Risk of Mortality From Cardiovascular Disease, Cancer, and All Causes in a Prospective Cohort of Women

Open access
Heidemann, Christin, Schulze, Matthias B., Franco, Oscar H., van Dam, Rob M., Mantzoros, Christos S., Hu, Frank B.·2008·Circulation

Abstract

Background— The impact of overall dietary patterns that reflect actual eating behaviors on mortality caused by cardiovascular or other chronic diseases is largely unknown. Methods and Results— We prospectively evaluated the relation between dietary patterns and risk of cardiovascular, cancer, and all-cause mortality among 72 113 women who were free of myocardial infarction, angina, coronary artery surgery, stroke, diabetes mellitus, or cancer and were followed up from 1984 to 2002. Dietary patterns were derived by factor analysis based on validated food frequency questionnaires administered every 2 to 4 years. Two major dietary patterns were identified: High prudent pattern scores represented high intakes of vegetables, fruit, legumes, fish, poultry, and whole grains, whereas high Western pattern scores reflected high intakes of red meat, processed meat, refined grains, french fries, and sweets/desserts. During 18 years of follow-up, 6011 deaths occurred, including 1154 cardiovascular deaths and 3139 cancer deaths. After multivariable adjustment, the prudent diet was associated with a 28% lower risk of cardiovascular mortality (95% confidence interval [CI], 13 to 40) and a 17% lower risk of all-cause mortality (95% CI, 10 to 24) when the highest quintile was compared with the lowest quintile. In contrast, the Western pattern was associated with a higher risk of mortality from cardiovascular disease (22%; 95% CI, 1 to 48), cancer (16%; 95% CI, 3 to 30), and all causes (21%; 95% CI, 12 to 32). Conclusion— Greater adherence to the prudent pattern may reduce the risk of cardiovascular and total mortality, whereas greater adherence to the Western pattern may increase the risk among initially healthy women.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1161/circulationaha.108.771881

Cites

6 of 6 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Cited by

See all 515

Metadata

Authors
Heidemann, C., Schulze, M. B., Franco, O. H., van Dam, R. M., Mantzoros, C. S., & Hu, F. B.
Venue
Circulation
Published
2008-07-15
Volume
118
Issue
3
Pages
230-237
ISSN
  • 0009-7322 (ISSN-L)
  • 1524-4539
OpenAlex
W2097685971
Cited by
515
References
6
FWCI
33.48
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.