Sugars, hypertriglyceridemia, and cardiovascular disease
Open accessAbstract
Short-term studies consistently show that raising the carbohydrate content of the diet increases serum triacylglycerol concentrations. As compared with starches, sugars (particularly sucrose and fructose) tend to increase serum triacylglycerol concentrations by approximately 60%. The magnitude of the effect depends on other aspects of the diet, including the total amount of carbohydrate and the types of fat, carbohydrate, and fiber, but definitive studies to describe the dose-response relations are not available. Longer-term studies show that some high-carbohydrate diets are not associated with increased fasting serum triacylgycerol concentrations. However, sedentary subjects with upper-body and visceral obesity who have the metabolic syndrome tend to be at higher risk for hypertriglyceridemia in response to high-sucrose and high-carbohydrate diets; moderate weight loss mitigates the effect. Hyperinsulinemia or insulin resistance may play a role in promoting higher rates of VLDL synthesis and hypertriglyceridemia in obesity, but the mechanisms remain unclear. The effect of fructose in promoting triacylglycerol synthesis is independent of insulinemia, however. In terms of the long-term effects of diets high in sugars on the risk of cardiovascular disease, available epidemiologic evidence indicates no association of sugars or total carbohydrate intake per se, but high dietary glycemic load is associated with higher serum triacylglycerol concentrations and greater risk of coronary heart disease in women. Studies are needed to delineate the independent effects of dietary sugars and glycemic load on serum triacylglycerol concentrations in lean and obese men and women and to determine whether the elevations in fasting and fed concentrations of serum triacylglycerol with high-carbohydrate and high-sugars diets are associated with increased risk of cardiovascular disease.
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Reduction in dietary intake of fat is frequently associated with increased intake of carbohydrates and leads to carbohydrate induced hypertriglyceridemia (HPTG).
“Reduction in dietary intake of fat is frequently associated with increased intake of carbohydrates and leads to carbohydrate induced hypertriglyceridemia (HPTG) [64-69].”
From The case for low carbohydrate diets in diabetes management (2005) · cites this paper as [69]
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- Authors
- Fried, S. K., & Rao, S. P.
- Affiliations
- Rutgers, The State University of New Jersey (US)
- Corresponding author
- Fried, Susan K
- ORCID
- Fried, Susan K
- Venue
- The American Journal of Clinical Nutrition
- Publisher
- Elsevier BV
- Published
- 2003-10
- Volume
- 78
- Issue
- 4
- Pages
- 873S-880S
- ISSN
- 0002-9165 (ISSN-L)
- OpenAlex
- W1887621239
- Cited by
- 232
- References
- 76
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 8 · 2023: 5 · 2022: 7 · 2020: 7 · 2019: 9 · 2018: 6 · 2017: 3 · 2016: 11 · 2015: 13 · 2014: 16 · 2013: 19 · 2012: 11
- FWCI
- 1.92
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- American Journal of Clinical Nutrition (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diet, Metabolism, and Disease
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
- Keywords
- dietary sugar, sucrose, fructose, hypertriglyceridemia, serum triglycerides, cardiovascular risk, high-carbohydrate diet, glycemic load, metabolic syndrome, obesity, insulin resistance, hyperinsulinemia, VLDL synthesis, coronary artery disease, women
- MeSH terms
- Adult, Cardiovascular Diseases, Dietary Carbohydrates, Dose-Response Relationship, Drug, Female, Humans, Male, Obesity, Hypertriglyceridemia
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 ›
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