Egg ingestion in adults with type 2 diabetes: effects on glycemic control, anthropometry, and diet quality-a randomized, controlled, crossover trial

Valentine Y Njike, Rockiy G Ayettey, Hamid Rajebi, Judith A Treu, David L Katz, Valentine Y Njike, Rockiy G Ayettey, Hamid Rajebi, Judith A Treu, David L Katz

Abstract

Background: The inclusion of eggs as part of a healthful diet for adults with diabetes is controversial. We examined the effects of including eggs in the diet of adults with type 2 diabetes on cardiometabolic risk factors.

Methods: Randomized, controlled, single-blind, crossover trial of 34 adults (mean age 64.5 years; 14 postmenopausal women, 20 men) with type 2 diabetes assigned to one of two possible sequence permutations of two different 12-week treatments (two eggs/day inclusion or egg exclusion), with 6-week washout periods. For the egg inclusion phase, participants received advice from a dietitian on how to preserve an isocaloric condition relative to the egg exclusion phase. The primary outcome was glycemic control as measured by glycated hemoglobin. Secondary measures included anthropometry, blood pressure, and diet quality.

Results: Compared with the exclusion of eggs in the habitual diet, the inclusion of eggs did not measurably affect glycated hemoglobin (0.01±0.5% vs -0.24±0.7%; p=0.115) and systolic blood pressure (-0.8±13.0 vs -3.0±10.0 mm Hg; p=0.438); and significantly reduced body mass index (0.06±0.8 vs -0.4±0.8 kg/m²; p=0.013) and visceral fat rating (0.2±1.1 vs -0.4±1.0; p=0.016). The inclusion of eggs in the habitual diet of diabetics significantly reduced waist circumference (-0.4±1.2 cm; p=0.004) and percent body fat (-0.7±1.8; p=0.033) from baseline.

Conclusions: Short-term daily inclusion of eggs in the habitual diet of adults with type 2 diabetes does not improve glycemic control but can improve anthropometric measures.

Trial registration number: NCT02052037; results.

Keywords: A1C; Adult Diabetes.

Conflict of interest statement

Conflicts of Interest: None declared.

Figures

Figure 1
Figure 1
Study flow diagram.

References

    1. National Diabetes Statistics Report. 2014. 3/11/2016.
    1. Centers for Disease Control and Prevention.
    1. National Institutes of Health, Digestive and Kidney Diseases. Statistics Related to Overweight and Obesity: The Economic Costs.
    1. National Institutes of Health, Digestive and Kidney Diseases. .
    1. Bitzur R, Cohen H, Kamari Y et al. . Triglycerides and HDL Cholesterol Stars or second leads in diabetes? Diabetes Care 2009;32:S373–7. 10.2337/dc09-S343
    1. American Diabetes Association, North American Association for the Study of Obesity, American Society for Clinical Nutrition . Weight management using lifestyle. Modification in the prevention and management of type 2 diabetes: rationale and strategies. Clinical Diabetes 2005;23:130–6.
    1. Knowler WC, Barrett-Connor E, Fowler SE et al. , Diabetes Prevention Program Research Group. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med 2002;346:393–403. 10.1056/NEJMoa012512
    1. .
    1. Pronk NP. Structured diet and physical activity programmes provide strong evidence of effectiveness for type 2 diabetes prevention and improvement of cardiometabolic health. Evid Based Med 2016;21:18 10.1136/ebmed-2015-110292
    1. Ackermann RT. Diabetes prevention at the tipping point: aligning clinical and public health recommendations. Ann Intern Med 2015;163:475–6. 10.7326/M15-1563
    1. Balk EM, Earley A, Raman G et al. . Combined diet and physical activity promotion programs to prevent type 2 diabetes among persons at increased risk: a systematic review for the Community Preventive Services Task Force. Ann Intern Med 2015;163:437–51. 10.7326/M15-0452
    1. Knowler WC, Barrett-Connor E, Fowler SE et al. , Diabetes Prevention Program Research Group. 10-year follow-up of diabetes incidence and weight loss in the Diabetes Prevention Program Outcomes Study. Lancet 2009;374:1677–86. 10.1016/S0140-6736(09)61457-4
    1. Tuomilehto J, Lindstrom J, Eriksson JG et al. . Finnish Diabetes Prevention Study Group,, Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance. N Engl J Med 2001;344:1343–50. 10.1056/NEJM200105033441801
    1. Shin JY, Xun P, Nakamura Y et al. . Egg consumption in relation to risk of cardiovascular disease and diabetes: a systematic review and meta-analysis. Am J Clin Nutr 2013;98:146–59. 10.3945/ajcn.112.051318
    1. Djoussé L, Khawaja OA, Gaziano JM. Egg consumption and risk of type 2 diabetes: a meta-analysis of prospective studies. Am J Clin Nutr 2016;103:474–80. 10.3945/ajcn.115.119933
    1. Tamez M, Virtanen JK, Lajous M. Egg consumption and risk of incident type 2 diabetes: a dose-response meta-analysis of prospective cohort studies. Br J Nutr 2016;115:2212–18. 10.1017/S000711451600146X
    1. Deurenberg P, Andreoli A, Borg P et al. . The validity of predicted body fat percentage from body mass index and from impedance in samples of five European populations. Eur J Clin Nutr 2001;55:973–9. 10.1038/sj.ejcn.1601254
    1. Barreira TV, Staiano AE, Katzmarzyk PT. Validity assessment of a portable bioimpedance scale to estimate body fat percentage in white and African American children and adolescents. Pediatr Obes 2013;8:e29–32. 10.1111/j.2047-6310.2012.00122.x
    1. Johnson KE, Naccarato IA, Corder MA et al. . Validation of three body composition techniques with a comparison of ultrasound abdominal fat depths against an octopolar bioelectrical impedance device. Int J Exerc Sci 2012;5:205–13.
    1. Yamakage H, Ito R, Tochiya M et al. . The utility of dual bioelectrical impedance analysis in detecting intra-abdominal fat area in obese patients during weight reduction therapy in comparison with waist circumference and abdominal CT. Endocr J 2014;61:807–19. 10.1507/endocrj.EJ14-0092
    1. Oh JY, Sung YA, Lee HJ. The visceral adiposity index as a predictor of insulin resistance in young women with polycystic ovary syndrome. Obesity (Silver Spring) 2013;21:1690–4. 10.1002/oby.20096
    1. Jenkins DJ, Kendall CW, McKeown-Essyn G et al. . Effect of a low-glycemic index or a high-cereal fiber diet on type 2 diabetes: a randomized trial. JAMA 2008;300:2742–53. 10.1001/jama.2008.808
    1. Pearce KL, Clifton PM, Noakes M. Egg consumption as part of an energy-restricted high-protein diet improves blood lipid and blood glucose profiles in individuals with type 2 diabetes. Br J Nutr 2011;105:584–92. 10.1017/S0007114510003983
    1. Ratliff J, Leite JO, de Ogburn R et al. . Consuming eggs for breakfast influences plasma glucose and ghrelin, while reducing energy intake during the next 24 hours in adult men. Res 2010;30:96–103. 10.1016/j.nutres.2010.01.002
    1. Vander Wal JS, Gupta A, Khosla P et al. . Egg breakfast enhances weight loss. Int J Obes (Lond) 2008;32:1545–51. 10.1038/ijo.2008.130
    1. Katz DL, Gnanaraj J, Treu JA et al. . Effects of egg ingestion on endothelial function in adults with coronary artery disease: a randomized, controlled, crossover trial. Am Heart J 2015;169:162–9. 10.1016/j.ahj.2014.10.001
    1. Majumder K, Wu J. Angiotensin I converting enzyme inhibitory peptides from simulated in vitro gastrointestinal digestion of cooked eggs. J Agric Food Chem 2009;57:471–7. 10.1021/jf8028557
    1. Harmon BE, Boushey CJ, Shvetsov YB et al. . Associations of key diet-quality indexes with mortality in the Multiethnic Cohort: the Dietary Patterns Methods Project. Am J Clin Nutr 2015;101:587–97. 10.3945/ajcn.114.090688
    1. Reedy J, Krebs-Smith SM, Miller PE et al. . Higher diet quality is associated with decreased risk of all-cause, cardiovascular disease, and cancer mortality among older adults. J Nutr 2014;144:881–9. 10.3945/jn.113.189407

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