Glycemic Response to Black Beans and Chickpeas as Part of a Rice Meal: A Randomized Cross-Over Trial

Donna M Winham, Andrea M Hutchins, Sharon V Thompson, Donna M Winham, Andrea M Hutchins, Sharon V Thompson

Abstract

Legumes, such as black beans (Phaseolus vulgaris L.) and chickpeas (Cicer arietinum L.), have a low glycemic index, and may reduce the glycemic load of meals in which they are included. Although the low glycemic response of beans consumed alone has been documented, few studies have examined the glycemic response to traditional food combinations such as black beans and rice or chickpeas and rice. This randomized cross-over study examined the glycemic and insulinemic impact of 50 grams of available carbohydrate from three test meals: plain white rice (control), black beans with rice, and chickpeas with rice among healthy adult women (n = 12, 18-65 years). Treatments were consumed on different mornings, a minimum of 7 days apart. Blood samples were collected at time 0 (fasting), and at 30, 60, 90, and 120 min postprandial, and were subsequently analyzed for glucose and insulin concentrations. Glucose response based on the incremental area under the curve showed a significant difference by treatment (p = 0.027). Changes in blood glucose concentrations were significantly different for the black bean meal and the chickpea meal in comparison to rice alone at 60 min (p = 0.026 and p = 0.024), 90 min (p = 0.001 and p = 0.012) and 120 min post prandial (p = 0.024; black bean meal). Findings indicate that combinations of black beans and chickpeas with white rice improve glycemic response, providing evidence that has promising implications for dietary guidance to reduce postprandial glucose and related health risks through traditional food patterns.

Keywords: beans; blood glucose; glycemic response; insulin; insulin response; legumes; post-prandial; pulses.

Conflict of interest statement

The authors declare no conflict of interest

Figures

Figure 1
Figure 1
Effect of bean interventions on change in plasma glucose concentrations from fasting. Points denote mean glucose concentration at each data collection timepoint and error bars denote standard error of means. Mean fasting glucose values were not significantly different between treatment groups (91.68 (SEM 2.42), 89.54 (SEM 1.83), and 89.64 (SEM 5.70) mg/dL for white rice, black beans and white rice, and chickpeas and white rice, respectively). Results of a post-hoc paired t-test indicated that the glucose response curve was significantly different at 60 (p = 0.026), 90 (p = 0.001), and 120 (p = 0.024) for black beans (n = 12), and at 60 (p = 0.024) and 90 (p = 0.012) for chickpeas (n = 9) compared to control (rice alone). A trend was observed at the 120 min timepoint between chickpeas and rice and the white rice control meal (p = 0.072).
Figure 2
Figure 2
Effect of bean treatments on change in plasma insulin from fasting values. Points denote mean insulin concentration at each data collection timepoint and error bars denote standard error of means. Results of a post-hoc paired t-test indicated that the insulin response curve was significantly different at 30 (p = 0.037) for black beans (n = 12), and at 30 (p = 0.026) for chickpeas (n = 9) compared to the white rice control meal.
Figure 3
Figure 3
One-way Analysis of Variance of glucose iAUC was significantly different by treatment (p = 0.027). Tukey post-hoc tests indicated a significant difference between chickpeas and control (p = 0.047), and a trend was observed between black beans and control (p = 0.058). * p < 0.05. Bars denote mean insulin iAUC values and error bars denote standard error of means.
Figure 4
Figure 4
Insulin iAUC was not significantly different by treatment (p > 0.05). Bars denote mean insulin iAUC values and error bars denote standard error of means.

References

    1. Wilk R., Barbosa L. Rice and Beans: A Unique Dish in a Hundred Places. Berg; New York, NY, USA: 2012.
    1. McCrory M.A., Hamaker B.R., Lovejoy J.C., Eichelsdoerfer P.E. Pulse Consumption, Satiety, and Weight Management. Adv. Nutr. Int. Rev. J. 2010;1:17–30. doi: 10.3945/an.110.1006.
    1. Foyer C.H., Lam H.-M., Nguyen H.T., Siddique K.H.M., Varshney R.K., Colmer T.D., Cowling W., Bramley H., Mori T.A., Hodgson J.M., et al. Neglecting legumes has compromised human health and sustainable food production. Nat. Plants. 2016;2:16112. doi: 10.1038/nplants.2016.112.
    1. Hutchins A.M., Winham D.M., Thompson S.V. Phaseolus beans: Impact on glycaemic response and chronic disease risk in human subjects. Br. J. Nutr. 2012;108:S52–S65. doi: 10.1017/S0007114512000761.
    1. Bazzano L.A., Thompson A.M., Tees M.T., Nguyen C.H., Winham D.M. Non-soy legume consumption lowers cholesterol levels: A meta-analysis of randomized controlled trials. Nutr. Metab. Cardiovasc. Dis. 2011;21:94–103. doi: 10.1016/j.numecd.2009.08.012.
    1. Hartman T.J., Albert P.S., Zhang Z., Bagshaw D., Kris-Etherton P.M., Ulbrecht J., Miller C.K., Bobe G., Colburn N.H., Lanza E. Consumption of a legume-enriched, low-glycemic index diet is associated with biomarkers of insulin resistance and inflammation among men at risk for colorectal cancer. J. Nutr. 2010;140:60–67. doi: 10.3945/jn.109.114249.
    1. Ha V., Sievenpiper J.L., de Souza R.J., Jayalath V.H., Mirrahimi A., Agarwal A., Chiavaroli L., Mejia S.B., Sacks F.M., Di Buono M., et al. Effect of dietary pulse intake on established therapeutic lipid targets for cardiovascular risk reduction: A systematic review and meta-analysis of randomized controlled trials. CMAJ. 2014;186:E252–E262. doi: 10.1503/cmaj.131727.
    1. Kim S.J., de Souza R.J., Choo V.L., Ha V., Cozma A.I., Chiavaroli L., Mirrahimi A., Blanco Mejia S., Di Buono M., Bernstein A.M., et al. Effects of dietary pulse consumption on body weight: A systematic review and meta-analysis of randomized controlled trials. Am. J. Clin. Nutr. 2016 doi: 10.3945/ajcn.115.124677.
    1. Thorne M.J., Thompson L.U., Jenkins D.J. Factors affecting starch digestibility and the glycemic response with special reference to legumes. Am. J. Clin. Nutr. 1983;38:481–488.
    1. Park O.J., Kang N.E., Chang M.J., Kim W.K. Resistant starch supplementation influences blood lipid concentrations and glucose control in overweight subjects. J. Nutr. Sci. Vitaminol. Tokyo. 2004;50:93–99. doi: 10.3177/jnsv.50.93.
    1. Yamada Y., Hosoya S., Nishimura S., Tanaka T., Kajimoto Y., Nishimura A., Kajimoto O. Effect of bread containing resistant starch on postprandial blood glucose levels in humans. Biosci. Biotechnol. Biochem. 2005;69:559–566. doi: 10.1271/bbb.69.559.
    1. Li S.S., Kendall C.W.C., de Souza R.J., Jayalath V.H., Cozma A.I., Ha V., Mirrahimi A., Chiavaroli L., Augustin L.S.A., Blanco Mejia S., et al. Dietary pulses, satiety and food intake: A systematic review and meta-analysis of acute feeding trials. Obesity. 2014;22:1773–1780. doi: 10.1002/oby.20782.
    1. Mattei J., Malik V., Wedick N.M., Hu F.B., Spiegelman D., Willett W.C., Campos H. Reducing the global burden of type 2 diabetes by improving the quality of staple foods: The Global Nutrition and Epidemiologic Transition Initiative. Glob. Health. 2015;11:23. doi: 10.1186/s12992-015-0109-9.
    1. Doak C.M., Popkin B.M. Nutrition and Health in a Developing World. Springer International Publishing; Cham, Switzerland: 2017. Overweight and Obesity; pp. 143–158.
    1. NCD Risk Factor Collaboration (NCD-RisC) Worldwide trends in diabetes since 1980: A pooled analysis of 751 population-based studies with 4·4 million participants. Lancet. 2016;387:1513–1530. doi: 10.1016/S0140-6736(16)00618-8.
    1. Madsbad S. Impact of postprandial glucose control on diabetes-related complications: How is the evidence evolving? J. Diabetes Complicat. 2016;30:374–385. doi: 10.1016/j.jdiacomp.2015.09.019.
    1. American Diabetes Association Economic costs of diabetes in the U.S. in 2012. Diabetes Care. 2013;39:1033–1046. doi: 10.2337/dc12-2625.
    1. Abdullah M., Marinangeli C., Jones P., Carlberg J. Canadian Potential Healthcare and Societal Cost Savings from Consumption of Pulses: A Cost-Of-Illness Analysis. Nutrients. 2017;9:793. doi: 10.3390/nu9070793.
    1. Heron M. Deaths: Leading Causes for 2014. Natl. Vital Stat. Rep. 2016;65:1–96.
    1. Winham D.M., Armstrong Florian T.L., Thompson S.V. Low-income US women under-informed of the specific health benefits of consuming beans. PLoS ONE. 2016;11:e0147592. doi: 10.1371/journal.pone.0147592.
    1. Akibode S., Maredia M. Global and Regional Trends in Production, Trade and Consumption of Food Legume Crops. Department of Agricultural, Food and Resource Economics, Michigan State University; East Lansing, MI, USA: 2011.
    1. US Department of Agriculture, Agricultural Research Service, Nutrient Data Laboratory . USDA National Nutrient Database for Standard Reference. US Department of Agriculture, Agricultural Research Service; Beltsville, MD, USA: 2016. Release 28.
    1. U.S. Department of Health and Human Services. U.S. Department of Agriculture . Dietary Guidelines for Americans 2015–2020. U.S. Department of Health and Human Services; U.S. Department of Agriculture; Washington, DC, USA: 2015.
    1. Lucier G., BiingHwan L., Allshouse J., Scott Kantor L. Factors affecting dry bean consumption in the United States. Veg. Spec. Situat. Outlook. 2000;280:26–34.
    1. Mitchell D.C., Lawrence F.R., Hartman T.J., Curran J.M. Consumption of dry beans, peas, and lentils could improve diet quality in the US population. J. Am. Diet. Assoc. 2009;109:909–913. doi: 10.1016/j.jada.2009.02.029.
    1. Winham D.M., Armstrong Florian T.L. Hispanic women in EFNEP have low adherence with dietary guidelines regardless of acculturation level. J. Hunger Environ. Nutr. 2010;5:498–509. doi: 10.1080/19320248.2010.527280.
    1. Martínez A.D. Reconsidering acculturation in dietary change research among Latino immigrants: Challenging the preconditions of US migration. Ethn. Health. 2013;18:115–135. doi: 10.1080/13557858.2012.698254.
    1. Batres-Marquez S.P., Jensen H.H., Upton J. Rice Consumption in the United States: Recent Evidence from Food Consumption Surveys. J. Am. Diet. Assoc. 2009;109:1719–1727. doi: 10.1016/j.jada.2009.07.010.
    1. Muthayya S., Sugimoto J.D., Montgomery S., Maberly G.F. An overview of global rice production, supply, trade, and consumption. Ann. N. Y. Acad. Sci. 2014;1324:7–14. doi: 10.1111/nyas.12540.
    1. Atkinson F.S., Foster-Powell K., Brand-Miller J.C. International tables of glycemic index and glycemic load values: 2008. Diabetes Care. 2008;31:2281–2283. doi: 10.2337/dc08-1239.
    1. Foster-Powell K., Holt S.H.A., Brand-Miller J.C. International table of glycemic index and glycemic load values: 2002. Am. J. Clin. Nutr. 2002;76:5–56.
    1. Araya H., Pak N., Vera G., Alviña M. Digestion rate of legume carbohydrates and glycemic index of legume-based meals. Int. J. Food Sci. Nutr. 2003;54:119–126. doi: 10.1080/0963748031000084061.
    1. Bornet F.R., Costagliola D., Rizkalla S.W., Blayo A., Fontvieille A.M., Haardt M.J., Letanoux M., Tchobroutsky G., Slama G. Insulinemic and glycemic indexes of six starch-rich foods taken alone and in a mixed meal by type 2 diabetics. Am. J. Clin. Nutr. 1987;45:588–595.
    1. Sáyago-Ayerdi S.G., Tovar J., Osorio-Díaz P., Paredes-López O., Bello-Pérez L.A. In Vitro Starch Digestibility and predicted glycemic index of corn tortilla, black beans, and tortilla−bean mixture: effect of cold storage. J. Agric. Food Chem. 2005;53:1281–1285. doi: 10.1021/jf048652k.
    1. Udani J.K., Singh B.B., Barrett M.L., Preuss H.G. Lowering the glycemic index of white bread using a white bean extract. Nutr. J. 2009;8:52. doi: 10.1186/1475-2891-8-52.
    1. Winham D.M., Hutchins A.M., Melde C.L. Pinto bean, navy bean, and black-eyed pea consumption do not significantly lower the glycemic response to a high glycemic index treatment in normoglycemic adults. Nutr. Res. 2007;27:535–541. doi: 10.1016/j.nutres.2007.07.002.
    1. Greffeuille V., Marsset-Baglieri A., Molinari N., Cassan D., Sutra T., Avignon A., Micard V. Enrichment of pasta with faba bean does not impact glycemic or insulin response but can enhance satiety feeling and digestive comfort when dried at very high temperature. Food Funct. 2015;6:2996–3005. doi: 10.1039/C5FO00382B.
    1. Thompson S.V., Winham D.M., Hutchins A.M. Bean and rice meals reduce postprandial glycemic response in adults with type 2 diabetes: A cross-over study. Nutr. J. 2012;11 doi: 10.1186/1475-2891-11-23.
    1. Mohan V., Spiegelman D., Sudha V., Gayathri R., Hong B., Praseena K., Anjana R.M., Wedick N.M., Arumugam K., Malik V., et al. Effect of brown rice, white rice, and brown rice with legumes on blood glucose and insulin responses in overweight Asian Indians: A randomized controlled trial. Diabetes Technol. Ther. 2014;16:317–325. doi: 10.1089/dia.2013.0259.
    1. Mbanya J.-C.N., Mfopou J.K., Sobngwi E., Mbanya D.N.S., Ngogang J.Y. Metabolic and hormonal effects of five common African diets eaten as mixed meals: The Cameroon Study. Eur. J. Clin. Nutr. 2003;57:580–585. doi: 10.1038/sj.ejcn.1601592.
    1. Tucker A.J., Vandermey J.S., Robinson L.E., Graham T.E., Bakovic M., Duncan A.M. Effects of breads of varying carbohydrate quality on postprandial glycaemic, incretin and lipidaemic response after first and second meals in adults with diet-controlled type 2 diabetes. J. Funct. Foods. 2014;6:116–125. doi: 10.1016/j.jff.2013.09.025.
    1. Sugiyama M., Tang A.C., Wakaki Y., Koyama W. Glycemic index of single and mixed meal foods among common Japanese foods with white rice as a reference food. Eur. J. Clin. Nutr. 2003;57:743–752. doi: 10.1038/sj.ejcn.1601606.
    1. Asp N.G. Classification and methodology of food carbohydrates as related to nutritional effects. Am. J. Clin. Nutr. 1995;61:930S–937S.
    1. Schakel S., Schauer R., Himes J., Harnack L., Van Heel N. Development of a glycemic index database for dietary assessment. J. Food Compos. Anal. 2008;21:S50–S55. doi: 10.1016/j.jfca.2007.02.004.
    1. Venn B.J., Mann J.I. Cereal grains, legumes and diabetes. Eur. J. Clin. Nutr. 2004;58:1443–1461. doi: 10.1038/sj.ejcn.1601995.
    1. Brand-Miller J., Hayne S., Petocz P., Colagiuri S. Low-glycemic index diets in the management of diabetes: A meta-analysis of randomized controlled trials. Diabetes Care. 2003;26:2261–2267. doi: 10.2337/diacare.26.8.2261.
    1. Josse A.R., Kendall C.W.C., Augustin L.S.A., Ellis P.R., Jenkins D.J.A. Almonds and postprandial glycemia—A dose-response study. Metabolism. 2007;56:400–404. doi: 10.1016/j.metabol.2006.10.024.
    1. Panlasigui L.N., Panlilio L.M., Madrid J.C. Glycaemic response in normal subjects to five different legumes commonly used in the Philippines. Int. J. Food Sci. Nutr. 1995;46:155–160. doi: 10.3109/09637489509012544.
    1. Duh M.S., Lefebvre P., Fastenau J., Piech C.T., Waltzman R.J. Assessing the clinical benefits of erythropoietic agents using area under the hemoglobin change curve. Oncologist. 2005;10:438–448. doi: 10.1634/theoncologist.10-6-438.
    1. Faul F., Erdfelder E., Lang A.-G., Buchner A. G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav. Res. Methods. 2007;39:175–191. doi: 10.3758/BF03193146.
    1. Stone N.J., Merz C.N.B., ScM F., Blum F.C.B., McBride F.P., Eckel F.R.H., Schwartz F.J.S., Goldberg A.C., Shero F.S.T. 2013 ACC/AHA guideline on the treatment of blood cholesterol to reduce atherosclerotic cardiovascular risk in adults. Circulation. 2013 doi: 10.1161/01.cir.0000437738.63853.7a.
    1. Beutler E., Waalen J. The definition of anemia: What is the lower limit of normal of the blood hemoglobin concentration? Blood. 2006;107:1747–1750. doi: 10.1182/blood-2005-07-3046.
    1. Mollard R.C., Luhovyy B.L., Panahi S., Nunez M., Hanley A., Anderson G.H. Regular consumption of pulses for 8 weeks reduces metabolic syndrome risk factors in overweight and obese adults. Br. J. Nutr. 2012;108:S111–S122. doi: 10.1017/S0007114512000712.
    1. Havemeier S., Erickson J., Slavin J. Dietary guidance for pulses: The challenge and opportunity to be part of both the vegetable and protein food groups. Ann. N. Y. Acad. Sci. 2017;1392:58–66. doi: 10.1111/nyas.13308.
    1. Diamond M.P., Simonson D.C., DeFronzo R.A. Menstrual cyclicity has a profound effect on glucose homeostasis. Fertil. Steril. 1989;52:204–208. doi: 10.1016/S0015-0282(16)60842-7.
    1. Bennal A., Kerure S. Glucose handling during menstrual cycle. Int. J. Reprod. Contracept. Obstet. Gynecol. 2013;2:284–287. doi: 10.5455/2320-1770.ijrcog20130905.

Source: PubMed

3
購読する