Literature DB >> 24717370

Development of a food-exchange model to replace saturated fat with MUFAs and n-6 PUFAs in adults at moderate cardiovascular risk.

Michelle Weech1, Katerina Vafeiadou1, Marinela Hasaj1, Susan Todd2, Parveen Yaqoob1, Kim G Jackson1, Julie A Lovegrove3.   

Abstract

The recommendation to reduce saturated fatty acid (SFA) consumption to ≤10% of total energy (%TE) is a key public health target aimed at lowering cardiovascular disease (CVD) risk. Replacement of SFA with unsaturated fats may provide greater benefit than replacement with carbohydrates, yet the optimal type of fat is unclear. The aim of the DIVAS (Dietary Intervention and Vascular Function) study was to develop a flexible food-exchange model to investigate the effects of substituting SFAs with monounsaturated fatty acids (MUFAs) or n-6 (ω-6) polyunsaturated fatty acids (PUFAs) on CVD risk factors. In this parallel study, UK adults aged 21-60 y with moderate CVD risk (50% greater than the population mean) were identified using a risk assessment tool (n = 195; 56% females). Three 16-wk isoenergetic diets of specific fatty acid (FA) composition (%TE SFA:%TE MUFA:%TE n-6 PUFA) were designed using spreads, oils, dairy products, and snacks as follows: 1) SFA-rich diet (17:11:4; n = 65); 2) MUFA-rich diet (9:19:4; n = 64); and 3) n-6 PUFA-rich diet (9:13:10; n = 66). Each diet provided 36%TE total fat. Dietary targets were broadly met for all intervention groups, reaching 17.6 ± 0.4%TE SFA, 18.5 ± 0.3%TE MUFA, and 10.4 ± 0.3%TE n-6 PUFA in the respective diets, with significant overall diet effects for the changes in SFAs, MUFAs, and n-6 PUFAs between groups (P < 0.001). There were no differences in the changes of total fat, protein, carbohydrate, and alcohol intake or anthropometric measures between groups. Plasma phospholipid FA composition showed changes from baseline in the proportions of total SFAs, MUFAs, and n-6 PUFAs for each diet group, with the changes in SFAs and MUFAs differing between the groups (P < 0.001). In conclusion, successful implementation of the food-exchange model broadly achieved the dietary target intakes for the exchange of SFAs with MUFAs or n-6 PUFAs with minimal disruption to the overall diet in a free-living population. This trial was registered at clinicaltrials.gov as NCT01478958.
© 2014 American Society for Nutrition.

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Year:  2014        PMID: 24717370     DOI: 10.3945/jn.114.190645

Source DB:  PubMed          Journal:  J Nutr        ISSN: 0022-3166            Impact factor:   4.798


  9 in total

1.  Explaining Unsaturated Fatty Acids (UFAs), Especially Polyunsaturated Fatty Acid (PUFA) Content in Subcutaneous Fat of Yaks of Different Sex by Differential Proteome Analysis.

Authors:  Lin Xiong; Jie Pei; Xiaoyun Wu; Pengjia Bao; Xian Guo; Ping Yan
Journal:  Genes (Basel)       Date:  2022-04-28       Impact factor: 4.141

2.  Plasma phospholipid fatty acid profile confirms compliance to a novel saturated fat-reduced, monounsaturated fat-enriched dairy product intervention in adults at moderate cardiovascular risk: a randomized controlled trial.

Authors:  Oonagh Markey; Dafni Vasilopoulou; Kirsty E Kliem; Albert Koulman; Colette C Fagan; Keith Summerhill; Laura Y Wang; Alistair S Grandison; David J Humphries; Susan Todd; Kim G Jackson; David I Givens; Julie A Lovegrove
Journal:  Nutr J       Date:  2017-05-23       Impact factor: 3.271

3.  Interaction between Metabolic Genetic Risk Score and Dietary Fatty Acid Intake on Central Obesity in a Ghanaian Population.

Authors:  Sooad Alsulami; David A Nyakotey; Kamila Dudek; Abdul-Malik Bawah; Julie A Lovegrove; Reginald A Annan; Basma Ellahi; Karani Santhanakrishnan Vimaleswaran
Journal:  Nutrients       Date:  2020-06-27       Impact factor: 5.717

Review 4.  Plant-derived polyunsaturated fatty acids and markers of glucose metabolism and insulin resistance: a meta-analysis of randomized controlled feeding trials.

Authors:  Anne J Wanders; Wendy A M Blom; Peter L Zock; Johanna M Geleijnse; Ingeborg A Brouwer; Marjan Alssema
Journal:  BMJ Open Diabetes Res Care       Date:  2019-02-08

5.  Impact of the Apolipoprotein E (epsilon) Genotype on Cardiometabolic Risk Markers and Responsiveness to Acute and Chronic Dietary Fat Manipulation.

Authors:  Kumari M Rathnayake; Michelle Weech; Kim G Jackson; Julie A Lovegrove
Journal:  Nutrients       Date:  2019-09-01       Impact factor: 5.717

6.  Effect of fat-reformulated dairy food consumption on postprandial flow-mediated dilatation and cardiometabolic risk biomarkers compared with conventional dairy: a randomized controlled trial.

Authors:  Oonagh Markey; Dafni Vasilopoulou; Kirsty E Kliem; Colette C Fagan; Alistair S Grandison; Rachel Sutton; David J Humphries; Susan Todd; Kim G Jackson; David I Givens; Julie A Lovegrove
Journal:  Am J Clin Nutr       Date:  2022-03-04       Impact factor: 7.045

7.  Impact of a food-based dietary fat exchange model for replacing dietary saturated with unsaturated fatty acids in healthy men on plasma phospholipids fatty acid profiles and dietary patterns.

Authors:  Laury Sellem; Rona Antoni; Athanasios Koutsos; Ezgi Ozen; Gloria Wong; Hasnaa Ayyad; Michelle Weech; Matthias B Schulze; Andreas Wernitz; Barbara A Fielding; M Denise Robertson; Kim G Jackson; Bruce A Griffin; Julie A Lovegrove
Journal:  Eur J Nutr       Date:  2022-06-06       Impact factor: 4.865

8.  Intake of Meals Containing High Levels of Carbohydrates or High Levels of Unsaturated Fatty Acids Induces Postprandial Dysmetabolism in Young Overweight/Obese Men.

Authors:  Edyta Adamska; Lucyna Ostrowska; Joanna Gościk; Magdalena Waszczeniuk; Adam Krętowski; Maria Górska
Journal:  Biomed Res Int       Date:  2015-11-02       Impact factor: 3.411

9.  Apolipoprotein E gene polymorphism modifies fasting total cholesterol concentrations in response to replacement of dietary saturated with monounsaturated fatty acids in adults at moderate cardiovascular disease risk.

Authors:  Israa M Shatwan; Michelle Weech; Kim G Jackson; Julie A Lovegrove; Karani S Vimaleswaran
Journal:  Lipids Health Dis       Date:  2017-11-23       Impact factor: 3.876

  9 in total

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