Peanuts or an Isocaloric Lower Fat, Higher Carbohydrate Nighttime Snack Have Similar Effects on Fasting Glucose in Adults with Elevated Fasting Glucose Concentrations: a 6-Week Randomized Crossover Trial

Philip A Sapp, Penny M Kris-Etherton, Kristina S Petersen, Philip A Sapp, Penny M Kris-Etherton, Kristina S Petersen

Abstract

Background: The glycemic effects of peanuts are not well studied and no trials have been conducted in adults with elevated fasting plasma glucose (FPG). Furthermore, intake of peanuts as a nighttime snack, an eating occasion affecting FPG, has not been examined.

Objectives: The aim was to determine the effect of consuming 28 g/d of peanuts as a nighttime snack for 6 wk on glycemic control and cardiovascular disease risk factors, compared with an isocaloric lower fat, higher carbohydrate (LFHC) snack (whole grain crackers and low-fat cheese), in adults with elevated FPG.

Methods: In a randomized crossover trial, 50 adults (FPG 100 ± 8 mg/dL) consumed dry roasted, unsalted peanuts [164 kcal; 11% energy (E) carbohydrate, 17% E protein, and 73% E fat] or a LFHC snack (164 kcal; 54% E carbohydrate, 17% E protein, and 33% E fat) in the evening (after dinner and before bedtime) for 6 wk with a 4-wk washout period. Primary (FPG) and secondary end points [Healthy Eating Index-2015 (HEI-2015), weight, insulin, fructosamine, lipids/lipoproteins, central and peripheral blood pressure, and pulse wave velocity] were evaluated at the beginning and end of each condition. Linear mixed models were used for data analysis.

Results: FPG was not different between the peanut and LFHC conditions (end point mean difference: -0.6 mg/dL; 95% CI: -2.7, 1.6; P = 0.67). There were no between-condition effects for secondary cardiometabolic endpoints. The HEI-2015 score was not different between the conditions (3.6 points; P = 0.19), although the seafood/plant protein (2.0 points; P < 0.01) and added sugar (0.8 points; P = 0.04) components were improved following peanut intake. The whole grain component was lower with peanuts compared with LFHC (-2.6 points; P < 0.01).

Conclusions: In adults with elevated FPG, peanuts as a nighttime snack (28 g/d) did not affect FPG compared with an isocaloric LFHC snack after 6 wk.This trial was registered at clinicaltrials.gov as NCT03654651.

Keywords: elevated fasting glucose; nutritional intervention; peanuts; prediabetes; randomized controlled trial.

© The Author(s) 2021. Published by Oxford University Press on behalf of the American Society for Nutrition.

Figures

FIGURE 1
FIGURE 1
CONSORT flow diagram

References

    1. Centers for Disease Control and Prevention. National diabetes statistics report. [Internet]. Atlanta (GA): Centers for Disease Control and Prevention, US Department of Health and Human Services; 2020 [cited; January 11 2021]. Available from: .
    1. Ligthart S, van Herpt TTW, Leening MJG, Kavousi M, Hofman A, Stricker BHC, van Hoek M, Sijbrands EJG, Franco OH, Dehghan A. Lifetime risk of developing impaired glucose metabolism and eventual progression from prediabetes to type 2 diabetes: a prospective cohort study. Lancet Diabetes Endocrinol. 2016;4:44–51.
    1. The Emerging Risk Factors Collaboration. Diabetes mellitus, fasting blood glucose concentration, and risk of vascular disease: a collaborative meta-analysis of 102 prospective studies. Lancet. 2010;375:2215–22.
    1. Brannick B, Dagogo-Jack S. Prediabetes and cardiovascular disease: pathophysiology and interventions for prevention and risk reduction. Endocrinol Metab Clin North Am. 2018;47:33–50.
    1. Afshin A, Micha R, Khatibzadeh S, Mozaffarian D. Consumption of nuts and legumes and risk of incident ischemic heart disease, stroke, and diabetes: a systematic review and meta-analysis. Am J Clin Nutr. 2014;100:278–88.
    1. Ntzouvani A, Antonopoulou S, Nomikos T. Effects of nut and seed consumption on markers of glucose metabolism in adults with prediabetes: a systematic review of randomised controlled trials. Br J Nutr. 2019;122:361–75.
    1. Tindall AM, Johnston EA, Kris-Etherton PM, Petersen KS. The effect of nuts on markers of glycemic control: a systematic review and meta-analysis of randomized controlled trials. Am J Clin Nutr. 2019;109:297–314.
    1. Viguiliouk E, Kendall CWC, Mejia SB, Cozma AI, Ha V, Mirrahimi A, Jayalath VH, Augustin LSA, Chiavaroli L, Leiter LA et al. Effect of tree nuts on glycemic control in diabetes: a systematic review and meta-analysis of randomized controlled dietary trials. PLoS One. 2014;9:e103376.
    1. Liu X, Hill AM, West SG, Gabauer RM, McCrea CE, Fleming JA, Kris-Etherton PM. Acute peanut consumption alters postprandial lipids and vascular responses in healthy overweight or obese men. J Nutr. 2017;147:835–40.
    1. Reis CEG, Ribeiro DN, Costa NMB, Bressan J, Alfenas RCG, Mattes RD. Acute and second-meal effects of peanuts on glycaemic response and appetite in obese women with high type 2 diabetes risk: a randomised cross-over clinical trial. Br J Nutr. 2013;109:2015–23.
    1. Wang D, Sun L, Liu X, Niu Z, Chen S, Tang L, Zheng H, Chen X, Li H, Lu L et al. Replacing white rice bars with peanuts as snacks in the habitual diet improves metabolic syndrome risk among Chinese adults: a randomized controlled trial. Am J Clin Nutr. 2021;113:28–35.
    1. Barbour JA, Howe PRC, Buckley JD, Bryan J, Coates AM. Effect of 12 weeks high oleic peanut consumption on cardio-metabolic risk factors and body composition. Nutrients. 2015;7:7381–98.
    1. Johnston CS, Trier CM, Fleming KR. The effect of peanut and grain bar preloads on postmeal satiety, glycemia, and weight loss in healthy individuals: an acute and a chronic randomized intervention trial. Nutr J. 2013;12:35.
    1. O'Neal TB, Luther EE. Dawn phenomenon. Treasure Island (FL): StatPearls Publishing; 2020.
    1. Dyer-Parziale M. The effect of extend bar containing uncooked cornstarch on night-time glycemic excursion in subjects with type 2 diabetes. Diabetes Res Clin Pract. 2001;53:137–9.
    1. Abbie E, Francois ME, Chang CR, Barry JC, Little JP. A low-carbohydrate protein-rich bedtime snack to control fasting and nocturnal glucose in type 2 diabetes: a randomized trial. Clin Nutr. 2020;39:3601–6.
    1. Munter P, Shimbo D, Carey RM, Charleston JB, Gaillard T, Misra S, Myers MG, Ogedegbe G, Schwartz JE, Townsend RR et al. Measurement of blood pressure in humans: a scientific statement from the American Heart Association. Hypertension. 2019;73:e35–66.
    1. Caulfield MP, Li S, Lee G, Blanche PJ, Salameh WA, Benner WH, Reitz RE, Krauss RM. Concerns regarding lipoprotein particle measurement by ion mobility analysis. In reply. Clin Chem. 2008;54:2088–9.
    1. Mora S, Caulfield MP, Wohlgemuth J, Chen Z, Superko HR, Rowland CM, Glynn RJ, Ridker PM, Krauss RM. Atherogenic lipoprotein subfractions determined by ion mobility and first cardiovascular events after random allocation to high-intensity statin or placebo: the justification for the use of statins in prevention: an intervention trial evaluating rosuvastatin (JUPITER) trial. Circulation. 2015;132:2220–9.
    1. National Cancer Institute. Dietary assessment primer, 24-hour dietary recall (24HR) at a glance. [Internet]. Bethesda (MD): National Institutes of Health National Cancer Institute; [cited January 11, 2021]. Available from: .
    1. National Cancer Institute Division of Cancer Control and Population Sciences. ASA24 resources related to the Healthy Eating Index (HEI). [Internet]. Bethesda (MD): National Institutes of Health National Cancer Institute; [cited January 11, 2021]. Available from: .
    1. National Cancer Institute Division of Cancer Control and Population Sciences. Reviewing & cleaning ASA24 data. [Internet]. Bethesda (MD): National Institutes of Health National Cancer Institute; [cited January 11, 2021]. Available from: .
    1. Li S-C, Liu Y-H, Liu J-F, Chang W-H, Chen C-M, Chen C-YO. Almond consumption improved glycemic control and lipid profiles in patients with type 2 diabetes mellitus. Metabolism. 2011;60:474–9.
    1. Mukuddem-Petersen J, Oosthuizen W, Jerling JC. A systematic review of the effects of nuts on blood lipid profiles in humans. J Nutr. 2005;135:2082–9.
    1. Del Gobbo LC, Falk MC, Feldman R, Lewis K, Mozaffarian D. Effects of tree nuts on blood lipids, apolipoproteins, and blood pressure: systematic review, meta-analysis, and dose-response of 61 controlled intervention trials. Am J Clin Nutr. 2015;102:1347–56.
    1. Liou L, Kaptoge S. Association of small, dense LDL-cholesterol concentration and lipoprotein particle characteristics with coronary heart disease: a systematic review and meta-analysis. PLoS One. 2020;15:e0241993.
    1. U.S. Department of Agriculture and U.S. Department of Health and Human Services. 2020–2025 dietary guidelines for Americans, 9th ed. [Internet]. 2020; [cited Jan 11, 2021]. Available from: .
    1. U.S. Department of Health and Human Services and U.S. Department of Agriculture. 2015–2020 dietary guidelines for Americans. 8th ed. [Internet]. 2015; [cited Jan 11, 2021]. Available from: .
    1. What we eat in America/National Health and Nutrition Examination Survey, 2013-2014. [Internet]. Hyattsville (MD): National Center for Health Statistics; [cited Jan 11, 2021]. Available from: .
    1. Paineau D, Beaufils F, Boulier A, Cassuto D-A, Chwalow J, Combris P, Couet C, Jouret B, Lafay L, Laville M et al. The cumulative effect of small dietary changes may significantly improve nutritional intakes in free-living children and adults. Eur J Clin Nutr. 2010;64:782–91.
    1. Zeballos E, Todd JE, Restrepo B. Frequency and time of day that Americans eat: a comparison of data from the American Time Use Survey and the National Health and Nutrition Examination Survey. [Internet]. US Department of Agriculture, Economic Research Service; 2019 [cited; January 2021]. Available from: .

Source: PubMed

3
Abonnere