Literature DB >> 11679456

Fat consumption and HbA(1c) levels: the EPIC-Norfolk study.

A H Harding1, L A Sargeant, A Welch, S Oakes, R N Luben, S Bingham, N E Day, K T Khaw, N J Wareham.   

Abstract

OBJECTIVE: To describe the relationship between total dietary fat and the pattern of fat intake and HbA(1c). RESEARCH DESIGN AND METHODS: In this cross-sectional study, 2,759 men and 3,464 women (40-78 years of age) without a previous diagnosis of type 2 diabetes were recruited from a population-based sampling frame. Diet was assessed using a self-reported semiquantitative food frequency questionnaire.
RESULTS: The HbA(1c) level was negatively associated with the polyunsaturated fat-to-saturated fat ratio (P:S ratio) of the diet (beta = -0.0338 HbA(1c)% per SD change in P:S ratio; P < 0.001) and positively associated with the total level of fat intake (beta = 0.0620 HbA(1c)% per SD change in total fat intake; P < 0.001), adjusted for age and total energy intake. The associations remained significant when adjusted for each other and for total energy, protein, age, sex, family history of diabetes, BMI, waist-to-hip ratio, physical activity, and smoking (for P:S ratio, beta = -0.0200 HbA(1c)% per SD change in P:S ratio, P = 0.013; for total fat, beta = 0.420% HbA(1c)% per SD change in total fat intake, P < 0.001). The benefits from a high P:S ratio were attributed to a lower saturated fat intake.
CONCLUSIONS: These findings demonstrate independent associations between HbA(1c) concentration across the normal range of HbA(1c) and both total fat intake and the pattern of dietary fat intake. They provide further support to efforts promoting modifications in the intake of dietary fat.

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Year:  2001        PMID: 11679456     DOI: 10.2337/diacare.24.11.1911

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  24 in total

Review 1.  The influence of dietary fat on insulin resistance.

Authors:  Jennifer C Lovejoy
Journal:  Curr Diab Rep       Date:  2002-10       Impact factor: 4.810

2.  A meat, processed meat, and French fries dietary pattern is associated with high allostatic load in Puerto Rican older adults.

Authors:  Josiemer Mattei; Sabrina E Noel; Katherine L Tucker
Journal:  J Am Diet Assoc       Date:  2011-10

3.  A dietary pattern protective against type 2 diabetes in the European Prospective Investigation into Cancer and Nutrition (EPIC)--Potsdam Study cohort.

Authors:  C Heidemann; K Hoffmann; J Spranger; K Klipstein-Grobusch; M Möhlig; A F H Pfeiffer; H Boeing
Journal:  Diabetologia       Date:  2005-05-12       Impact factor: 10.122

4.  HbA1c Levels among Primary Healthcare Patients with Type 2 Diabetes Mellitus in Oman.

Authors:  Jawad A Al-Lawati; Mohammed N Barakat; Masoud Al-Maskari; Medhat K Elsayed; Alya M Al-Lawati; Ali Jaffer Mohammed
Journal:  Oman Med J       Date:  2012-11

5.  Nutrition, metabolism and colorectal cancer.

Authors:  G Misciagna; M G Caruso; M Trevisan
Journal:  Genes Nutr       Date:  2008-04       Impact factor: 5.523

6.  Macronutrient Intake, Diagnosis Status, and Glycemic Control Among US Hispanics/Latinos With Diabetes.

Authors:  Xueyin Wang; Molly Jung; Yasmin Mossavar-Rahmani; Daniela Sotres-Alvarez; Rebeca A Espinoza Giacinto; Amber Pirzada; Samantha A Reina; Sarah S Casagrande; Tao Wang; M Larissa Avilés-Santa; Robert C Kaplan; Qibin Qi
Journal:  J Clin Endocrinol Metab       Date:  2016-03-07       Impact factor: 5.958

7.  Are There Clinical Implications of Racial Differences in HbA1c? Yes, to Not Consider Can Do Great Harm!

Authors:  William H Herman
Journal:  Diabetes Care       Date:  2016-08       Impact factor: 19.112

8.  Fat intake in patients newly diagnosed with type 2 diabetes: a 4-year follow-up study in general practice.

Authors:  Floris A van de Laar; Eloy H van de Lisdonk; Peter L B J Lucassen; J M H Tigchelaar; Saskia Meyboom; Jan Mulder; Henk J M van den Hoogen; Guy E H M Rutten; Chris van Weel
Journal:  Br J Gen Pract       Date:  2004-03       Impact factor: 5.386

9.  A genome-wide association study reveals variants in ARL15 that influence adiponectin levels.

Authors:  J Brent Richards; Dawn Waterworth; Stephen O'Rahilly; Marie-France Hivert; Ruth J F Loos; John R B Perry; Toshiko Tanaka; Nicholas John Timpson; Robert K Semple; Nicole Soranzo; Kijoung Song; Nuno Rocha; Elin Grundberg; Josée Dupuis; Jose C Florez; Claudia Langenberg; Inga Prokopenko; Richa Saxena; Robert Sladek; Yurii Aulchenko; David Evans; Gerard Waeber; Jeanette Erdmann; Mary-Susan Burnett; Naveed Sattar; Joseph Devaney; Christina Willenborg; Aroon Hingorani; Jaquelin C M Witteman; Peter Vollenweider; Beate Glaser; Christian Hengstenberg; Luigi Ferrucci; David Melzer; Klaus Stark; John Deanfield; Janina Winogradow; Martina Grassl; Alistair S Hall; Josephine M Egan; John R Thompson; Sally L Ricketts; Inke R König; Wibke Reinhard; Scott Grundy; H-Erich Wichmann; Phil Barter; Robert Mahley; Y Antero Kesaniemi; Daniel J Rader; Muredach P Reilly; Stephen E Epstein; Alexandre F R Stewart; Cornelia M Van Duijn; Heribert Schunkert; Keith Burling; Panos Deloukas; Tomi Pastinen; Nilesh J Samani; Ruth McPherson; George Davey Smith; Timothy M Frayling; Nicholas J Wareham; James B Meigs; Vincent Mooser; Tim D Spector
Journal:  PLoS Genet       Date:  2009-12-11       Impact factor: 5.917

10.  Diet and glycosylated haemoglobin in the 1946 British birth cohort.

Authors:  C J Prynne; A Mander; M E J Wadsworth; A M Stephen
Journal:  Eur J Clin Nutr       Date:  2009-06-24       Impact factor: 4.016

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