The DOI matches its Crossref record; 141 of the 141 references it cites were found in a registry or an index.
Cardiovascular Disease Prevention by Diet Modification
Open accessAbstract
Reduction in excess calories and improvement in dietary composition may prevent many primary and secondary cardiovascular events. Current guidelines recommend diets high in fruits, vegetables, whole grains, nuts, and legumes; moderate in low-fat dairy and seafood; and low in processed meats, sugar-sweetened beverages, refined grains, and sodium. Supplementation can be useful for some people but cannot replace a good diet. Factors that influence individuals to consume a low-quality diet are myriad and include lack of knowledge, lack of availability, high cost, time scarcity, social and cultural norms, marketing of poor quality foods, and palatability. Governments should focus on cardiovascular disease as a global threat and enact policies that will reach all levels of society and create a food environment wherein healthy foods are accessible, affordable, and desirable. Health professionals should be proficient in basic nutritional knowledge to promote a sustainable pattern of healthful eating for cardiovascular disease prevention for both healthy individuals and those at higher risk
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BackgroundMethod
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Metadata
- Authors
- Yu, E., Malik, V. S., & Hu, F. B.
- Venue
- Journal of the American College of Cardiology
- Publisher
- Elsevier BV
- Published
- 2018-08
- Volume
- 72
- Issue
- 8
- Pages
- 914-926
- ISSN
- 0735-1097 (ISSN-L)
- OpenAlex
- W2885745997
- Cited by
- 355
- References
- 141
- FWCI
- 21.58
- Type
- journal article
- Language
- en
- Open access
- bronze
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (vor, 385 d)
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- Yu, E., Malik, V. S., & Hu, F. B. (2018). Cardiovascular Disease Prevention by Diet Modification. Journal of the American College of Cardiology. https://doi.org/10.1016/j.jacc.2018.02.085
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.
