Increased usual physical activity is associated with a blunting of the triglyceride response to a high-fat meal.


Journal

Journal of clinical lipidology
ISSN: 1933-2874
Titre abrégé: J Clin Lipidol
Pays: United States
ID NLM: 101300157

Informations de publication

Date de publication:
Historique:
received: 09 08 2018
revised: 06 11 2018
accepted: 07 11 2018
pubmed: 17 12 2018
medline: 6 5 2020
entrez: 17 12 2018
Statut: ppublish

Résumé

Postprandial lipemia (PPL), defined as a prolonged or elevated rise in triglycerides that accompanies fat feeding, is a significant risk factor for coronary heart disease and associated comorbidities. The impact of PPL on coronary heart disease risk is underscored by the preponderance of each day spent in the postprandial state. In this study, we evaluated cross-sectionally the association between usual (ie, noninterventional) physical activity and the 6-hour triglyceride response to a standardized high-fat meal. The high-fat meal intervention was carried out in 671 apparently healthy individuals as part of the Heredity and Phenotype Intervention Heart Study. Triglyceride levels were measured in the fasting state and during 6 hours after administration of a standardized fat challenge. We defined PPL response as the triglyceride area under the fat load curve (AUC) and measured physical activity using accelerometers that were worn continuously over a 7-day period. Physical activity levels decreased with increasing age and were higher in men than women (both P < .001). The triglyceride AUC increased with increasing age in both men and women (both P < .001) and was also higher in men than in women (age-adjusted P = 9.2 × 10 These results suggest that the protective benefits of physical activity on cardiovascular health may operate, at least in part, through reduction of the PPL triglyceride response.

Sections du résumé

BACKGROUND
Postprandial lipemia (PPL), defined as a prolonged or elevated rise in triglycerides that accompanies fat feeding, is a significant risk factor for coronary heart disease and associated comorbidities. The impact of PPL on coronary heart disease risk is underscored by the preponderance of each day spent in the postprandial state.
OBJECTIVE
In this study, we evaluated cross-sectionally the association between usual (ie, noninterventional) physical activity and the 6-hour triglyceride response to a standardized high-fat meal.
METHODS
The high-fat meal intervention was carried out in 671 apparently healthy individuals as part of the Heredity and Phenotype Intervention Heart Study. Triglyceride levels were measured in the fasting state and during 6 hours after administration of a standardized fat challenge. We defined PPL response as the triglyceride area under the fat load curve (AUC) and measured physical activity using accelerometers that were worn continuously over a 7-day period.
RESULTS
Physical activity levels decreased with increasing age and were higher in men than women (both P < .001). The triglyceride AUC increased with increasing age in both men and women (both P < .001) and was also higher in men than in women (age-adjusted P = 9.2 × 10
CONCLUSION
These results suggest that the protective benefits of physical activity on cardiovascular health may operate, at least in part, through reduction of the PPL triglyceride response.

Identifiants

pubmed: 30553757
pii: S1933-2874(18)30465-3
doi: 10.1016/j.jacl.2018.11.006
pmc: PMC6379118
mid: NIHMS1513140
pii:
doi:

Substances chimiques

Triglycerides 0

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

109-114

Subventions

Organisme : NIDDK NIH HHS
ID : P30 DK072488
Pays : United States
Organisme : NHLBI NIH HHS
ID : U01 HL072515
Pays : United States

Informations de copyright

Copyright © 2018 National Lipid Association. Published by Elsevier Inc. All rights reserved.

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Auteurs

Braxton D Mitchell (BD)

Program in Personalized and Genomic Medicine, and Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD; Geriatrics Research and Education Clinical Center, Baltimore Veterans Administration Medical Center, Baltimore, MD, USA. Electronic address: bmitchel@som.umaryland.edu.

Gurmannat Kalra (G)

Program in Personalized and Genomic Medicine, and Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD.

Kathleen A Ryan (KA)

Program in Personalized and Genomic Medicine, and Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD.

Man Zhang (M)

Program in Personalized and Genomic Medicine, and Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD.

Carole Sztalryd (C)

Program in Personalized and Genomic Medicine, and Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD.

Nanette I Steinle (NI)

Program in Personalized and Genomic Medicine, and Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD.

Simeon I Taylor (SI)

Program in Personalized and Genomic Medicine, and Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD.

Soren Snitker (S)

Program in Personalized and Genomic Medicine, and Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD.

Joshua P Lewis (JP)

Program in Personalized and Genomic Medicine, and Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD.

Michael Miller (M)

Division of Cardiovascular Medicine, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA.

Alan R Shuldiner (AR)

Program in Personalized and Genomic Medicine, and Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD.

Huichun Xu (H)

Program in Personalized and Genomic Medicine, and Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD.

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Classifications MeSH