Recommendations Summary
PDM: Nutrition Prescription for Macronutrients 2014
Click here to see the explanation of recommendation ratings (Strong, Fair, Weak, Consensus, Insufficient Evidence) and labels (Imperative or Conditional). To see more detail on the evidence from which the following recommendations were drawn, use the hyperlinks in the Supporting Evidence Section below.
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Recommendation(s)
PDM: Nutrition Prescription for Macronutrients
The registered dietitian nutritionist (RDN) should individualize the nutrition prescription for macronutrients based on the Dietary Reference Intakes (DRI), which are 10% to 35% protein, 20% to 35% fat, and 45% to 65% carbohydrate, for individuals who are at high risk for type 2 diabetes. Research is inconclusive regarding the effect of macronutrient distribution as a percentage of energy, independent of weight loss, on outcomes in both adults with metabolic syndrome and individuals with prediabetes, related to the varying macronutrient distributions in study diets.
Rating: Fair
Imperative-
Risks/Harms of Implementing This Recommendation
None.
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Conditions of Application
None.
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Potential Costs Associated with Application
The costs of medical nutrition therapy (MNT).
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Recommendation Narrative
A total of 17 studies were included in the evidence analysis for this recommendation:
- Nine positive quality randomized controlled trials (RCT) (Azadbakht et al, 2005; Lindstrom et al, 2006; McLaughlin et al, 2006; Camhi et al, 2010; Gulseth et al, 2010; Lee et al, 2009; Muzio et al, 2007; Paniagua et al, 2011; and Tierney et al, 2011)
- Two neutral quality RCTs (Sarkkinen et al, 1996; Wolever and Mehling, 2003)
- One positive quality cluster randomized trial (Zhang et al, 2011)
- Three neutral quality randomized crossover trials (Melton et al, 2009; Khoury et al, 2010; Konig et al, 2012)
- One neutral quality prospective cohort study (Feskens et al, 1995)
- One positive quality non-randomized controlled trial (Kolovou et al, 2006).
In Adults with Metabolic Syndrome
- Glycemic-related outcomes (FBG, random BG, two-hour post-prandial BG, A1C):
- Research is inconclusive on the effect of macronutrient distribution (as a percentage of energy), independent of weight loss, on glycemic-related outcomes in adults with metabolic syndrome, related to the varying macronutrient distributions in study diets (12% to 30% protein; 20% to 38% fat; 48% to 65% carbohydrate)
- However, two feeding studies, also with diets of varying macronutrient distributions report inconclusive results regarding the effect of macronutrient distribution on post-prandial glycemia and insulinemia
- Additional longer-term intervention studies are needed to ascertain an effect of macronutrient distribution on glycemic-related outcomes in adults with metabolic syndrome with or without meeting the metabolic syndrome criteria for impaired glucose tolerance and impaired fasting glucose
- Evidence is based on the following: Azadbakht et al, 2005; Khoury et al, 2010; Konig et al, 2012; Lee et al, 2009; Muzio et al, 2007; Paniagua et al, 2011; Tierney et al, 2011; Zhang et al, 2011.
- Lipid outcomes (TG, HDL):
- Research is inconclusive on the effect of macronutrient distribution (as a percentage of energy), independent of weight loss, on lipid outcomes in adults with metabolic syndrome, related to the varying macronutrient distributions in study diets (12% to 30% protein; 20% to 38% fat; 48% to 65% carbohydrate)
- Additional longer-term intervention studies are needed to ascertain an effect of macronutrient distribution on lipid outcomes in adults with metabolic syndrome with or without meeting the metabolic syndrome criteria for lipid levels
- Evidence is based on the following: Azadbakht et al, 2005; Camhi et al, 2010; Khoury et al, 2010; Kolovou et al, 2006; Lee et al, 2009; Muzio et al, 2007; Paniagua et al 2011; Tierney et al, 2011; Zhang et al, 2011.
- Anthropometric outcomes (WC, WHR):
- Research is inconclusive on the effect of macronutrient distribution (as a percentage of energy), independent of weight loss, on waist circumference (WC), independent of weight loss, in adults with metabolic syndrome, related to the varying macronutrient distributions in study diets (12% to 30% protein; 20% to 38% fat; 48% to 65% carbohydrate)
- Although not significant, there was a trend that macronutrient distribution may lead to a decrease in WC, when fat content was at least 30%. However, in one study with fat less than 30%, there was a positive effect on waist-to-hip ratio after one year
- Additional longer-term intervention studies are needed to ascertain an effect of macronutrient distribution on anthropometric outcomes in adults with metabolic syndrome with or without meeting the metabolic syndrome criteria for anthropometric measures
- Evidence is based on the following: Camhi et al, 2010; Lee et al, 2009; Muzio et al, 2007; Paniagua et al, 2011; Tierney et al, 2011; and Zhang et al, 2011.
- Blood pressure outcomes:
- Research is inconclusive on the effect of macronutrient distribution (as a percentage of energy), independent of weight loss, on blood pressure in adults with metabolic syndrome, related to the varying macronutrient distributions in study diets (12% to 19% protein; 22% to 38% fat; 48% to 65% carbohydrate)
- Additional longer-term intervention studies are needed to ascertain an effect of macronutrient distribution on blood pressure in adults with metabolic syndrome with or without meeting the metabolic syndrome criteria for blood pressure
- Evidence is based on the following: Azadbakht et al, 2005; Gulseth et al, 2010; Muzio et al, 2007; Paniagua et al, 2011; Tierney et al, 2011; Zhang et al, 2011.
- Renal outcomes:
- There were no studies identified to evaluate the impact of macronutrient distribution (as a percentage of energy), independent of weight loss, on renal outcomes in adults with metabolic syndrome
- Intervention studies are needed to ascertain an effect of macronutrient distribution on renal outcomes in adults with metabolic syndrome with or without meeting the metabolic syndrome criteria for renal measures.
In Individuals with Prediabetes
- Glycemic-related outcomes (FBG, random BG, two-hour post-prandial BG, A1C):
- Research is inconclusive on the effect of macronutrient distribution (as a percentage of energy), independent of weight loss, on glycemic-related outcomes in individuals with prediabetes, related to the varying macronutrient distributions in study diets (15% protein; 25% to 45% fat; 40% to 60% carbohydrate)
- Additional longer-term intervention studies are needed to quantify specific macronutrient intake ranges in individuals with prediabetes
- Evidence is based on the following: Feskens et al, 1995; McLaughlin et al, 2006; Melton et al, 2009; Sarkkinen et al, 1996; Wolever and Mehling, 2003.
- Lipid outcomes (TG, HDL):
- Research is inconclusive on the effect of macronutrient distribution (as a percentage of energy), independent of weight loss, on lipid outcomes in individuals with prediabetes, related to the varying macronutrient distributions in study diets (15% protein; 30% to 40% fat; 40% to 55% carbohydrate)
- Additional longer-term intervention studies are needed to quantify specific macronutrient intake ranges in individuals with prediabetes
- Evidence is based on the following: McLaughlin et al, 2006; Melton et al, 2009; Sarkkinen et al, 1996; Wolever and Mehling, 2003.
- Anthropometric outcomes (WC, WHR):
- Research is inconclusive on the effect of macronutrient distribution (as a percentage of energy), independent of weight loss, on anthropometric outcomes in individuals with prediabetes, related to the varying macronutrient distributions in study diets (less than 30% of calories from fat)
- Additional longer-term intervention studies are needed to ascertain an effect of macronutrient distribution on anthropometric outcomes in individuals with prediabetes
- Evidence is based on the following: Lindstrom et al, 2006.
- Blood Pressure outcomes:
- Research is inconclusive on the effect of macronutrient distribution (as a percentage of energy), independent of weight loss, on blood pressure in individuals with prediabetes, related to the varying macronutrient distributions in study diets (comparing 40% carbohydrate and 45% fat vs. 60% carbohydrate and 25% fat)
- Additional longer-term intervention studies are needed to ascertain an effect of macronutrient distribution on blood pressure in individuals with prediabetes
- Evidence is based on the following: McLaughlin et al, 2006.
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Recommendation Strength Rationale
For Adults with Metabolic Syndrome
- Grade II evidence is available for the conclusion statements regarding the impact of macronutrient distribution, independent of weight loss, on adults with metabolic syndrome on:
- Glycemic-related outcomes (such as fasting blood glucose, random blood glucose, two-hour post-prandial blood glucose, A1C)
- Lipid outcomes (TG, HDL)
- Anthropometric outcomes (WC, WHR)
- Blood pressure.
- Grade V (no evidence) is available to evaluate the impact of of macronutrient distribution, independent of weight loss on in adults with metabolic syndrome on renal outcomes.
For Individuals with Prediabetes
- Grade II evidence is available for the conclusion statements regarding the impact of macronutrient distribution, independent of weight loss, on the following outcomes:
- Glycemic-related outcomes (such as fasting blood glucose, random blood glucose, two-hour post-prandial blood glucose, A1C)
- Lipid (TG, HDL).
- Grade III evidence is available for the conclusion statements regarding the impact macronutrient distribution, independent of weight loss, on the following outcomes:
- Anthropometric measures (WC, WHR)
- Blood pressure.
- Grade II evidence is available for the conclusion statements regarding the impact of macronutrient distribution, independent of weight loss, on adults with metabolic syndrome on:
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Minority Opinions
Consensus reached.
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Risks/Harms of Implementing This Recommendation
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Supporting Evidence
The recommendations were created from the evidence analysis on the following questions. To see detail of the evidence analysis, click the blue hyperlinks below (recommendations rated consensus will not have supporting evidence linked).
In adults with metabolic syndrome, what is the impact of macronutrient distribution, independent of weight loss, on glycemic-related outcomes (such as fasting blood glucose, random blood glucose, 2-hour postprandial blood glucose, A1C)?
In adults with metabolic syndrome, what is the impact of macronutrient distribution, independent of weight loss, on lipid outcomes (TG, HDL)?
In adults with metabolic syndrome, what is the impact of macronutrient distribution, independent of weight loss, on anthropometric outcomes (WC, WHR)?
In adults with metabolic syndrome, what is the impact of macronutrient distribution, independent of weight loss, on blood pressure?
In adults with metabolic syndrome, what is the impact of macronutrient distribution, independent of weight loss, on renal outcomes?
In individuals with prediabetes, what is the impact of macronutrient distribution, independent of weight loss, on glycemic-related outcomes (such as fasting blood glucose, random blood glucose, two-hour post prandial blood glucose, A1C)?
In individuals with prediabetes, what is the impact of macronutrient distribution, independent of weight loss, on lipid outcomes (TG, HDL)?
In individuals with prediabetes, what is the impact of macronutrient distribution, independent of weight loss, on anthropometric outcomes (WC, WHR)?
In individuals with prediabetes, what is the impact of macronutrient distribution, independent of weight loss, on blood pressure?-
References
Azadbakht L, Mirmiran P, Esmaillzadeh A, Azizi T, Azizi F. Beneficial effects of a Dietary Approaches to Stop Hypertension eating plan on features of the metabolic syndrome. Diabetes Care. 2005; 28 (12): 2,823-2,831.
Khoury DE, Hwalla N, Frochot V, Lacorte JM, Chabert M, Kalopissis AD. Postprandial metabolic and hormonal responses of obese dyslipidemic subjects with metabolic syndrome to test meals, rich in carbohydrate, fat or protein. Atherosclerosis. 2010; 210(1): 307-313.
Konig D, Muser K, Berg A, Deibert P. Fuel selection and appetite-regulating hormones after intake of a soy protein-based meal replacement. Nutrition. 2012; 28(1): 35-39.
Lee K, Lee J, Bae WK, Choi JK, Kim HJ, Cho B. Efficacy of low-calorie, partial meal replacement diet plans on weight and abdominal fat in obese subjects with metabolic syndrome: A double-blind, randomized controlled trial of two diet plans - one high in protein and one nutritionally balanced. Int J Clin Pract. 2009; 63(2): 195-201.
Muzio F, Mondazzi L, Harris WS, Sommariva D, Branchi A. Effects of moderate variations in the macronutrient content of the diet on cardiovascular disease risk factors in obese patients with the metabolic syndrome. Am J Clin Nutr. 2007; 86 (4): 946-951.
Paniagua JA, Perez-Martinez P, Gjelstad IM, Tierney AC, Delgado-Lista J, Defoort C, Blaak EE, Riserus U, Drevon CA, Kiec-Wilk B, Lovegrove JA, Roche HM, Lopez-Miranda J, LIPGENE Study Investigators. A low-fat high-carbohydrate diet supplemented with long-chain n-3 PUFA reduces the risk of the metabolic syndrome. Atherosclerosis. 2011; 218(2): 443-450.
Tierney AC, McMonagle J, Shaw DI, Gulseth HL, Helal O, Saris WH, Paniagua JA, Golabek-Leszczynska I, Defoort C, Williams CM, Karlstrom B, Vessby B, Dembinska-Kiec A, Lopez-Miranda J, Blaak EE, Drevon CA, Gibney MJ, Lovegrove JA, Roche HM. Effects of dietary fat modification on insulin sensitivity and on other risk factors of the metabolic syndrome--LIPGENE: A European randomized dietary intervention study. Int J Obes (Lond). 2011; 35(6): 800-809.
Zhang SX, Guo HW, Wan WT, Xue K. Nutrition education guided by Dietary Guidelines for Chinese Residents on metabolic syndrome characteristics, adipokines and inflammatory markers. Asia Pac J Clin Nutr. 2011; 20(1): 77-86.
Camhi SM, Stefanick ML, Katzmarzyk PT, Young DR. Metabolic syndrome and changes in body fat from a low-fat diet and/or exercise randomized controlled trial. Obesity (Silver Spring). 2010; 18(3): 548-554.
Kolovou GD, Anagnostopoulou KK, Pavlidis AN, Salpea KD, Hoursalas IS, Manolis A, Cokkinos DV. Postprandial lipaemia in menopausal women with metabolic syndrome. Maturitas. 2006; 55(1): 19-26.
Gulseth HL, Gjelstad IM, Tierney AC, Shaw DI, Helal O, Hees AM, Delgado-Lista J, Leszczynska-Golabek I, Karlstrom B, Lovegrove J, Defoort C, Blaak EE, Lopez-Miranda J, Dembinska-Kiec A, Riserus U, Roche HM, Birkeland KI, Drevon CA. Dietary fat modifications and blood pressure in subjects with the metabolic syndrome in the LIPGENE dietary intervention study. Br J Nutr. 2010; 104(2): 160-163.
Feskens EJM, Virtanen SM, Rasanen L, Tuomilehto J, Stengard J, Pekkanen J, Nissinen A, Kromhout D. Dietary factors determining diabetes and impaired glucose intolerance: a 20-year follow-up of the Finnish and Dutch cohorts of the Seven Countries Study. Diabetes Care, 1995; 18 (8): 1,104-1,112.
McLaughlin T, Carter S, Lamendola C, Abbasi F, Yee G, Schaaf P, Basina M, Reaven G. Effects of moderate variations in macronutrient composition on weight loss and reduction in cardiovascular disease risk in obese, insulin-resistant adults. Am J Clin Nutr. 2006 Oct; 84 (4): 813-821.
Melton CE, Tucker PS, Fisher-Wellman KH, Schilling BK, Bloomer RJ. Acute exercise does not attenuate postprandial oxidative stress in prediabetic women. Phys Sportsmed. 2009; 37(1): 27-36.
Sarkkinen E, Schwab U, Niskanen L, Hannuksela M, Savolainen M, Kervinen K, Kesaniemi A, Uusitupa MIJ. The effect of monounsaturated-fat enriched diet and polyunsaturated-fat enriched diet on lipid and glucose metabolism in subjects with impaired glucose tolerance. Eur J Clin Nutr. 1996; 50(9): 592-598.
Wolever TM, Mehling C. Long-term effect of varying the source or amount of dietary carbohydrate on postprandial plasma glucose, insulin, triacylglycerol and free fatty acid concentrations in subjects with impaired glucose tolerance. Am J Clin Nutr. 2003; 77: 612-621.
Lindstrom J, Peltonen M, Eriksson JG, Louheranta A, Fogelholm M, Uusitupa M, Tuomilehto J. High-fibre, low-fat diet predicts long-term weight loss and decreased type 2 diabetes risk: The Finnish Diabetes Prevention Study. Diabetologia, 2006; 49: 912-920. -
References not graded in Academy of Nutrition and Dietetics Evidence Analysis Process
Dietary Reference Intakes. Available at the Institutes of Medicine website at http://www.iom.edu/Activities/Nutrition/SummaryDRIs/DRI-Tables.aspx.
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References