G D Brinkworth1, M Noakes, B Parker, P Foster, P M Clifton. 1. Commonwealth Scientific Industrial and Research Organisation (CSIRO), Health Sciences and Nutrition, Adelaide, South Australia, Australia.
Abstract
AIMS/HYPOTHESIS: This study compared the long-term weight loss and health outcomes at 1-year follow-up, after a 12-week intensive intervention consisting of two low-fat, weight-loss diets, which differed in protein content. METHODS: We randomly assigned 66 obese patients (BMI: 27-40 kg/m2) with type 2 diabetes to either alow-protein (15% protein, 55% carbohydrate) or high-protein diet (30% protein, 40% carbohydrate) for 8 weeks of energy restriction (approximately 6.7 MJ/day) and 4 weeks of energy balance. Subjects were asked to maintain the same dietary pattern for a further 12 months of follow-up. RESULTS: The study was completed by 38 of the subjects, with equal dropouts in each group. At Week 64, weight reductions against baseline were -2.2+/-1.1 kg (low protein) and -3.7+/-1.0 kg (high protein), p<0.01, with no diet effect. Fat mass was not different from baseline in either group. At Week 12, both diets reduced systolic and diastolic blood pressure by 6 and 3 mm Hg respectively, but blood pressure increased more with weight regain during follow-up in the low-protein group (p< or =0.04). At Week 64, both diets significantly increased HDL cholesterol and lowered C-reactive protein concentrations. There was no difference in the urinary urea : creatinine ratio at baseline between the two groups, but this ratio increased at Week 12 (in the high-protein group only, p<0.001, diet effect), remaining stable during follow-up in both diets. CONCLUSIONS/ INTERPRETATION: A high-protein weight-reduction diet may in the long term have a more favourable cardiovascular risk profile than a low-protein diet with similar weight reduction in people with type 2 diabetes.
RCT Entities:
AIMS/HYPOTHESIS: This study compared the long-term weight loss and health outcomes at 1-year follow-up, after a 12-week intensive intervention consisting of two low-fat, weight-loss diets, which differed in protein content. METHODS: We randomly assigned 66 obesepatients (BMI: 27-40 kg/m2) with type 2 diabetes to either a low-protein (15% protein, 55% carbohydrate) or high-protein diet (30% protein, 40% carbohydrate) for 8 weeks of energy restriction (approximately 6.7 MJ/day) and 4 weeks of energy balance. Subjects were asked to maintain the same dietary pattern for a further 12 months of follow-up. RESULTS: The study was completed by 38 of the subjects, with equal dropouts in each group. At Week 64, weight reductions against baseline were -2.2+/-1.1 kg (low protein) and -3.7+/-1.0 kg (high protein), p<0.01, with no diet effect. Fat mass was not different from baseline in either group. At Week 12, both diets reduced systolic and diastolic blood pressure by 6 and 3 mm Hg respectively, but blood pressure increased more with weight regain during follow-up in the low-protein group (p< or =0.04). At Week 64, both diets significantly increased HDL cholesterol and lowered C-reactive protein concentrations. There was no difference in the urinary urea : creatinine ratio at baseline between the two groups, but this ratio increased at Week 12 (in the high-protein group only, p<0.001, diet effect), remaining stable during follow-up in both diets. CONCLUSIONS/ INTERPRETATION: A high-protein weight-reduction diet may in the long term have a more favourable cardiovascular risk profile than a low-protein diet with similar weight reduction in people with type 2 diabetes.
Authors: Donald K Layman; Richard A Boileau; Donna J Erickson; James E Painter; Harn Shiue; Carl Sather; Demtra D Christou Journal: J Nutr Date: 2003-02 Impact factor: 4.798
Authors: James M Shikany; Karen L Margolis; Mary Pettinger; Rebecca D Jackson; Marian C Limacher; Simin Liu; Lawrence S Phillips; Lesley F Tinker Journal: Am J Clin Nutr Date: 2011-05-11 Impact factor: 7.045
Authors: Lillian F Lien; Andrea M Haqq; Michelle Arlotto; Cris A Slentz; Michael J Muehlbauer; Ross L McMahon; James Rochon; Dianne Gallup; James R Bain; Olga Ilkayeva; Brett R Wenner; Robert D Stevens; David S Millington; Deborah M Muoio; Mark D Butler; Christopher B Newgard; Laura P Svetkey Journal: OMICS Date: 2009-02
Authors: Wieke Altorf-van der Kuil; Mariëlle F Engberink; Elizabeth J Brink; Marleen A van Baak; Stephan J L Bakker; Gerjan Navis; Pieter van 't Veer; Johanna M Geleijnse Journal: PLoS One Date: 2010-08-11 Impact factor: 3.240