The association between dietary macronutrient intake and the prevalence of the metabolic syndrome

The British Journal of Nutrition
Michael R SkiltonFabrice Bonnet

Abstract

We examined the association of dietary carbohydrates, protein, fat (including fatty acid subtypes) and alcohol with the metabolic syndrome and its components, in a cross-sectional study of 1626 patients with at least one cardiovascular risk factor. Multivariate nutrient density substitution models were used to examine the associations between macronutrients (assessed by 24 h dietary recall) and the metabolic syndrome. These models express the effects of 'substituting' one macronutrient for another without altering total energy intake. Increases in carbohydrates offset by isoenergetic decreases in either fat or protein were associated with a decrease in the prevalence of the metabolic syndrome (OR 0.87 (95 % CI 0.81, 0.93), P 0.10). Consumption of up to one standard alcoholic drink per d was associated with a lower prevalence of the metabolic syndrome when compared with non-drinkers (OR 0.67 (95 % CI 0.50, 0.89), P = 0.006); however, these benefits were weakened with higher levels of alcohol intake (P = 0.10 for one to three drinks and P = 0.29 for >three drinks). Thus, a diet high in carbohydrates, low in fat and protein, with low-to-moderate alcohol intake, is associated with a reduced prevalence of the metabolic syndrome.

References

Dec 1, 1996·Circulation·T A Pearson
May 23, 2001·International Journal of Epidemiology·W Willett
Dec 4, 2002·JAMA : the Journal of the American Medical Association·Hanna-Maaria LakkaJukka T Salonen
Jan 25, 2003·BMJ : British Medical Journal·Douglas G Altman, J Martin Bland
Apr 15, 2004·International Journal of Epidemiology·Hye Soon ParkYoung Soel Kim
Jun 24, 2004·The American Journal of Clinical Nutrition·Yeong Sook YoonWha Young Kim
Aug 31, 2004·International Journal of Epidemiology·Rupert W JakesNicholas J Wareham
Oct 8, 2004·The Biochemical Journal·Pablo StrobelFederico Leighton
Oct 27, 2004·Diabetes Care·Mercedes R CarnethonUNKNOWN Coronary Artery Risk Development in Young Adults study
Nov 13, 2004·Metabolism: Clinical and Experimental·Shankuan ZhuSteven B Heymsfield
Jan 6, 2005·JAMA : the Journal of the American Medical Association·Michael L DansingerErnst J Schaefer
Apr 20, 2005·Lancet·Robert H EckelPaul Z Zimmet
Jun 29, 2005·Diabetes Care·Renata D FreireUNKNOWN Japanese-Brazilian Diabetes Study Group
Sep 27, 2005·Lancet·K George M M AlbertiUNKNOWN IDF Epidemiology Task Force Consensus Group

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Citations

Jul 11, 2012·International Journal of Obesity : Journal of the International Association for the Study of Obesity·S AlmoosawiA M Stephen
Oct 28, 2011·Nutrition & Metabolism·Marià Alemany
May 16, 2009·Journal of the American Society of Nephrology : JASN·Nynke HalbesmaUNKNOWN PREVEND Study Group
Sep 15, 2009·Journal of Renal Nutrition : the Official Journal of the Council on Renal Nutrition of the National Kidney Foundation·Nazanin NooriBehzad Einollahi
Mar 21, 2012·Alimentary Pharmacology & Therapeutics·O W KwonH S Choi
Oct 10, 2015·Oxidative Medicine and Cellular Longevity·Felipe AvilaFederico Leighton
Jun 9, 2017·Hepatology Research : the Official Journal of the Japan Society of Hepatology·Eun Chul JangSang Bong Ahn
Jun 13, 2013·The Korean journal of gastroenterology = Taehan Sohwagi Hakhoe chi·Dae Won Jun
Feb 22, 2017·The British Journal of Nutrition·Aila J AholaPer-Henrik Groop
Jan 31, 2014·The American Journal of Clinical Nutrition·Kirstine L NielsenKnud Erik Bach Knudsen
Jul 28, 2017·Scientific Reports·Aila J AholaPer-Henrik Groop
Oct 21, 2020·Applied Physiology, Nutrition, and Metabolism = Physiologie Appliquée, Nutrition Et Métabolisme·Sergio A BurgosErrol B Marliss

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