Optimal Dietary Fat Pattern to Prevent Cardiovascular Disease Among Type 2 Diabetes
NCT ID: NCT00467168
Last Updated: 2007-04-27
Study Results
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Basic Information
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COMPLETED
PHASE1/PHASE2
30 participants
INTERVENTIONAL
1998-01-31
1998-05-31
Brief Summary
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1. Different dietary fatty acid compositions lead to differential overall responses of lipids in four subfractions of ppTRLs over postprandial 6 h.
2. One dietary fatty acid composition will be identified as anti-atherogenesis for future study as it can improve atherogenic ppTRLs.
Detailed Description
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It is well known that dietary saturated fatty acids (SFA) increase the risk for CHD while monounsaturated fatty acids (MUFA) and polyunsaturated fatty acids (PUFA) decrease the risk for CHD via the modification of fasting lipids. Since all dietary sources of fat are composed of a combination of SFA, MUFA nad PUFA, it is best to characterize dietary fats as ratio of SFA:MUFA:PUFA. In fact, the SFA:MUFA:PUFA ratio in any given region or population is relatively homogeneous due to common food sources, food accessibility, food preparation and processing, dietary culture and tradition. For example, dietary fatty acid compositions (SFA:MUFA:PUFA) obtained directly or derived from existing national/regional reports are: 1:1.7:0.4 in Greece,1:1.0:0.5 in USA, and 1:1.5:1 in the mainland of China. Our research showed that the composition was 1:1.7:1.2 among type 2 diabetic patients in Guangzhou, a city in Southern China(10). To date, the overall influence of dietary fatty acid compositions on lipids in different subfractions of ppTRLs still remains unclear. This paucity of evidence may limit the establishment of optimal recommendation of dietary fatty acid composition for type 2 diabetes.
We designed three fat loads with specific fatty acid composition based on our previous study and current nutrition knowledge, and aimed at elucidating the influence of these dietary fatty acid compositions on the overall response of lipids in ppTRLs over postprandial 6 h.Based on the result, we will identify on one dietary fatty acid compositions, which can improve atherogenic ppTRLs and thus may be recommended for diabetic patients, for future large-scale research.
Conditions
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Keywords
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Study Design
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RANDOMIZED
PARALLEL
PREVENTION
SINGLE
Interventions
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Diet
Eligibility Criteria
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Inclusion Criteria
* Types and doses of antidiabetic agents had been unchanged for four weeks before the postprandial study;
* Nonsmokers;
* No prior cardiovascular disease, hepatic and renal diseases, or other diseases influencing fat absorption;
* No previous history of gastro-enteral surgery;
* Dietary fat provided energy less than 35% in last two weeks;
* No use of medications or vitamins known to affect plasma lipids;
* Ability to hold hypoglycemic drugs on the day of the study until postprandial tests are completed;
* Ability to provide verbal informed consent to participate.
Exclusion Criteria
ALL
No
Sponsors
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Sun Yat-sen University
OTHER
Principal Investigators
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Jun Dai, MD
Role: PRINCIPAL_INVESTIGATOR
Department of Clinical Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou, China
Locations
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Department of Clinical Nutrition, School of Public Health, Sun Yat-sen University
Guangzhou, Guangdong, China
Department of Endocrinology, The First Hospital, Sun Yat-sen University
Guangzhou, Guangdong, China
Countries
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References
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Dai J, Su Y, Yan F, Liu S, Xu L, Li J. The pattern of diet and dietary fatty acid in type 2 diabetic out-patients investigated with an accurate food frequency method. J Chinese Public Health. 2000;16(1):43-4.
Dai J, Su Y, Ling W, Liang Y, Zhong C, Ou X. Study of fatty acids composition ratio of oral fat loads used in postprandial lipids and lipoproteins metabolism. Chinese J Arteriosclerosis. 2000;8(3):8-13.
Dai J, Su YX, Bartell S, Le NA, Ling WH, Liang YQ, Gao L, Wu HY, Veledar E, Vaccarino V. Beneficial effects of designed dietary fatty acid compositions on lipids in triacylglycerol-rich lipoproteins among Chinese patients with type 2 diabetes mellitus. Metabolism. 2009 Apr;58(4):510-8. doi: 10.1016/j.metabol.2008.11.010.
Other Identifiers
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522301118
Identifier Type: -
Identifier Source: org_study_id