BACKGROUND: Since both dietary carbohydrate and fatty acids separately affect carbohydrate metabolism, how dietary macronutrients distribution may have different effects on carbohydrate metabolism pathways and regulation of blood glucose especially in diabetic patients. METHODS: In this cross-sectional study 750 type 2 diabetic patients (261 men and 489 women, aged 35-65 years),who at least two years were followed in Diabetes and Metabolic disease Clinic of Tehran University of Medical Sciences, were recruited according to inclusion and exclusion criteria by simple sampling. Dietary data were collected by a validated food frequency questionnaire. Other variables were anthropometric measurements, Stress, physical activity level, Biochemical analyses including fasting and postprandial plasma glucose, Glycated hemoglobin, total cholesterol, low and high density lipoproteins, triglycerides and 25-hydoxy D3. Linear regression models were used to assess the association of covariates with the mean concentrations of HbA1C in quintiles and multivariate linear regression model was used to distinguish the impacts of dietary macronutrient composition of the diet. RESULTS: Carbohydrate and dietary fiber intakes were inversely (P: < 0.0001 and 0.003 respectively) and dietary amount and proportion of saturated, mono-unsaturated and poly-unsaturated fatty were positively (P: < 0.0001, 0.03, 0.01 and 0.01 respectively) associated with HbA1C concentrations. Multivariate linear regression macronutrient density model that controlled for age, sex, diabetes duration and calorie intake showed that carbohydrate was inversely associated with HbA1C (P < 0.0001, R(2) = 15%). Results were also the same in the other three models adjusted for stress and exercise levels in model 2, waist circumference and sum of meals in model 3 and serum triglyceride and 25-hydroxy vitamin D in model 4(P < .0001, <.0001 and 0.0003 respectively). Calorie intake of 25 Kcal/body weight was identified as a cut of point of the negative effect of dietary carbohydrate and 30 for the positive effect of fat on HbA1c respectively (P = 0.04 and 0.03). Moreover, carbohydrate intake was positively (β = 0.08, P = 0.01) and protein (β = -0.04, P < 0.0001), SAFA (β = -0.04, P < 0.0001) and MUFA (β = -0.02, 0.07) proportion were negatively associated with increment in calorie intake. CONCLUSION: This study showed that the substitution of fat for carbohydrate is associated with low concentrations of HbA1c in high calorie consuming type 2 diabetic patients.
BACKGROUND: Since both dietary carbohydrate and fatty acids separately affect carbohydrate metabolism, how dietary macronutrients distribution may have different effects on carbohydrate metabolism pathways and regulation of blood glucose especially in diabeticpatients. METHODS: In this cross-sectional study 750 type 2 diabeticpatients (261 men and 489 women, aged 35-65 years),who at least two years were followed in Diabetes and Metabolic disease Clinic of Tehran University of Medical Sciences, were recruited according to inclusion and exclusion criteria by simple sampling. Dietary data were collected by a validated food frequency questionnaire. Other variables were anthropometric measurements, Stress, physical activity level, Biochemical analyses including fasting and postprandial plasma glucose, Glycated hemoglobin, total cholesterol, low and high density lipoproteins, triglycerides and 25-hydoxy D3. Linear regression models were used to assess the association of covariates with the mean concentrations of HbA1C in quintiles and multivariate linear regression model was used to distinguish the impacts of dietary macronutrient composition of the diet. RESULTS:Carbohydrate and dietary fiber intakes were inversely (P: < 0.0001 and 0.003 respectively) and dietary amount and proportion of saturated, mono-unsaturated and poly-unsaturated fatty were positively (P: < 0.0001, 0.03, 0.01 and 0.01 respectively) associated with HbA1C concentrations. Multivariate linear regression macronutrient density model that controlled for age, sex, diabetes duration and calorie intake showed that carbohydrate was inversely associated with HbA1C (P < 0.0001, R(2) = 15%). Results were also the same in the other three models adjusted for stress and exercise levels in model 2, waist circumference and sum of meals in model 3 and serum triglyceride and 25-hydroxy vitamin D in model 4(P < .0001, <.0001 and 0.0003 respectively). Calorie intake of 25 Kcal/body weight was identified as a cut of point of the negative effect of dietary carbohydrate and 30 for the positive effect of fat on HbA1c respectively (P = 0.04 and 0.03). Moreover, carbohydrate intake was positively (β = 0.08, P = 0.01) and protein (β = -0.04, P < 0.0001), SAFA (β = -0.04, P < 0.0001) and MUFA (β = -0.02, 0.07) proportion were negatively associated with increment in calorie intake. CONCLUSION: This study showed that the substitution of fat for carbohydrate is associated with low concentrations of HbA1c in high calorie consuming type 2 diabeticpatients.
Authors: Ramon Estruch; Miguel Angel Martínez-González; Dolores Corella; Jordi Salas-Salvadó; Valentina Ruiz-Gutiérrez; María Isabel Covas; Miguel Fiol; Enrique Gómez-Gracia; Mari Carmen López-Sabater; Ernest Vinyoles; Fernando Arós; Manuel Conde; Carlos Lahoz; José Lapetra; Guillermo Sáez; Emilio Ros Journal: Ann Intern Med Date: 2006-07-04 Impact factor: 25.391
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Authors: A Ferland; P Brassard; S Lemieux; J Bergeron; P Bogaty; F Bertrand; S Simard; P Poirier Journal: Diabet Med Date: 2009-06 Impact factor: 4.359
Authors: Bonnie J Brehm; Barbara L Lattin; Suzanne S Summer; Jane A Boback; Gina M Gilchrist; Ronald J Jandacek; David A D'Alessio Journal: Diabetes Care Date: 2008-10-28 Impact factor: 19.112