![]() ![]() This has raised an important issue that fasting triglycerides may underestimate the true risk of CVDs. However, as individuals are in non-fasting state most of the time, non-fasting triglycerides have been proven to be more useful than fasting triglycerides to predict future CVDs. Current clinical guideline suggests that triglycerides should be measured in fasting blood samples in order to assess the risk of CVDs accurately, mainly because the levels of non-fasting triglycerides are generally higher than that of fasting triglycerides due to postprandial influence. High level of triglyceride is a well-recognized risk factor for cardiovascular diseases (CVDs). Lifestyle Intervention Behavioral Anthropometry Biochemical Abbreviations:īMI: Body Mass Index CRP: C-Reactive protein CVD: Cardiovascular disease NHANES: National Health and Nutrition Examination Survey Introduction ![]() These findings may help us to use fasting and non-fasting triglycerides properly to assess the risk of CVDs. In the separate analyses of the participants with and without hypertension, antihyperlipidemic agent use, or with high and low levels of LDL cholesterol, fasting triglycerides were much lower than non-fasting triglycerides only in participants with hypertension (difference=14.24 mg/dL P=0.03), antihyperlipidemic agent use (difference=14.10 mg/dL P=0.02), or LDL cholesterol <130 mg/dL (difference=6.46 mg/dL P=0.02).Ĭonclusions: The difference between fasting and non-fasting triglycerides was 4 mg/dL in the overall samples, and factors that determine the magnitude of differences were hypertension status, antihyperlipidemic agent use and LDL cholesterol levels. Triglycerides levels at fasting status was interacted with hypertension (P=0.05), antihyperlipidemic agent use (P=0.07) and LDL cholesterol (P=0.04). Results: Overall, fasting participants had lower triglycerides than non-fasting participants after adjusting for covariates (difference=4.22 mg/dL P=0.049). The difference between fasting and non-fasting triglycerides its dependent CVD risk factors were estimated with linear regression model. Fasting status was classified into two groups: fasting (≥8 hours) and non-fasting status (<8 hours). Methods: We conducted a cross-sectional study of 8,073 participants from the National Health and Nutrition Examination Survey, 2005-2010. Visit for more related articles at Journal of Community Medicine & Health Educationīackground: It is largely unknown about the magnitude of the difference between fasting and non-fasting triglycerides, and whether this difference is dependent on certain potential cardiovascular disease (CVD) risk factors. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited. Kettering Complex, 3223 Eden Ave,Cincinnati, Ohio, USA, 45267-0056 Tel: 1-51 E-mail: date: SeptemAccepted date: OctoPublished date: October 26, 2015Ĭitation: Yang S, Liu M, Wu T (2015) Magnitude of the Difference between Fasting and Non-fasting Triglycerides, and Its Dependent Factors Running Title: Fasting and Non-fasting Triglycerides. Magnitude of the Difference between Fasting and Non-fasting Triglycerides, and Its Dependent Factors Shuman Yang 1, Min Liu 2 and Tianying Wu 1 *ġ Department of Environmental Health, Division of Epidemiology and Biostatistics, University of Cincinnati Medical Center, Cincinnati, Ohio, USAĢ Department of Pathology of Laboratory Medicine, University of Cincinnati Medical Center, Cincinnati, Ohio, USA *Corresponding Author: Tianying Wuĭivision of Epidemiology and Biostatisticsĭepartment of Environmental Health, University of Cincinnati Medical Center ![]()
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