A higher ratio of beans to white rice is associated with lower cardiometabolic risk factors in Costa Rican adults
Open accessAbstract
Background A high intake of white rice is associated with the metabolic syndrome and type 2 diabetes. Costa Ricans follow a staple dietary pattern that includes white rice and beans, yet the combined role of these foods on cardiometabolic risk factors has not been studied.Objective We aimed to determine the association between intake of white rice and beans and the metabolic syndrome and its components in Costa Rican adults (n = 1879) without diabetes.Design Multivariate-adjusted means were calculated for components of the metabolic syndrome by daily servings of white rice and beans (<1, 1, or >1) and by the ratio of beans to white rice. The OR for the metabolic syndrome was calculated by substituting one serving of beans for one serving of white rice.Results An increase in daily servings of white rice was positively associated with systolic blood pressure (BP), triglycerides, and fasting glucose and inversely associated with HDL cholesterol (P-trend <0.01 for all). An increase in servings of beans was inversely associated with diastolic BP (P = 0.049). Significant trends for higher HDL cholesterol and lower BP and triglycerides were observed for 1:3, 1:2, 1:1, and 2:1 ratios of beans to white rice. Substituting one serving of beans for one serving of white rice was associated with a 35% (95% CI: 15%, 50%) lower risk of the metabolic syndrome.Conclusion Increasing the ratio of beans to white rice, or limiting the intake of white rice by substituting beans, may lower cardiometabolic risk factors.
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A meta-analysis of 10 prospective cohort studies (n=296,849) found increased glycemic load associated with a 27% increased coronary heart disease and myocardial infarction risk.
“A meta-analysis of 10 prospective cohort studies (n=296,849) (107) found increased GL associated with a 27% increased coronary heart disease (CHD) and MI risk (108).”
From Food Consumption and its Impact on Cardiovascular Disease: Importance of Solutions Focused on the Globalized Food System (2015) · cites this paper as [108]
Substituting beans for white rice reduced the odds of metabolic syndrome by 35%.
“and substituting beans for white rice reduced the odds of metabolic syndrome by 35% (108).”
From Food Consumption and its Impact on Cardiovascular Disease: Importance of Solutions Focused on the Globalized Food System (2015) · cites this paper as [108]
Cites
Toprak, Ö., Kurt, H., Sarı, Y., Şarkış, C., Us, H., & Kırık, A. (2017) · Kidney & Blood Pressure Research · doi:10.1159/000468530 · Cited by 29,769 · see citing works
Grundy, S. M., Bilheimer, D. W., Chait, A., Clark, L. T., Denke, M. A., Havel, R. J., Hazzard, W. R., Hulley, S. B., Hunninghake, D. B., Kreisberg, R. A., et al. (1993) · JAMA · doi:10.1001/jama.269.23.3015 · Cited by 27,944 · see citing works
Expert Panel on Detection, E. (2001) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.285.19.2486 · Cited by 26,011 · see citing works
Wild, S., Roglic, G., Green, A., Sicree, R., & King, H. (2004) · Diabetes Care · doi:10.2337/diacare.27.5.1047 · Cited by 15,297 · see citing works
Detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel III)
Grundy, S. M., Becker, D. M., Clark, L. T., Cooper, R., Denke, M. A., Howard, J. L., Hunninghake, D. B., Illingworth, D. R., Luepker, R. V., McBride, P. E., et al. (2002) · Civil War Book Review · Cited by 12,198 · see citing works
Adjustment for total energy intake in epidemiologic studies
Willett, W. C., Howe, G., & Kushi, L. H. (1997) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/65.4.1220s · Cited by 3,747 · see citing works
International table of glycemic index and glycemic load values: 2002,
Foster-Powell, K., Holt, S. H., & Brand-Miller, J. C. (2002) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/76.1.5 · Cited by 3,080 · see citing works
Total energy intake: implications for epidemiologic analyses.
WILLETT, W., & STAMPFER, M. J. (1986) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a114366 · Cited by 2,751 · see citing works
RE: “TOTAL ENERGY INTAKE: IMPLICATIONS FOR EPIDEMIOLOGIC ANALYSES”
Palmgren, J., & Kushi, L. H. (1991) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a115841 · Cited by 2,712 · see citing works
Legumes and soybeans: overview of their nutritional profiles and health effects
Messina, M. J. (1999) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/70.3.439s · Cited by 1,224 · see citing works
White rice, brown rice, and risk of type 2 diabetes in US men and women
Sun, Q. (2010) · Archives of Internal Medicine · doi:10.1001/archinternmed.2010.109 · Cited by 459 · see citing works
Villegas, R., Liu, S., Gao, Y.-T., Yang, G., Li, H., Zheng, W., & Shu, X. O. (2007) · Archives of Internal Medicine · doi:10.1001/archinte.167.21.2310 · Cited by 431 · see citing works
Consumption of Dry Beans, Peas, and Lentils Could Improve Diet Quality in the US Population
Mitchell, D. C., Lawrence, F., Hartman, T. J., & Curran, J. M. (2009) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2009.02.029 · Cited by 334 · see citing works
Prediction of Type 2 Diabetes Mellitus With Alternative Definitions of the Metabolic Syndrome
Hanley, A. J., Karter, A. J., Williams, K., Festa, A., Agostino, R. B. D., Wagenknecht, L. E., & Haffner, S. M. (2005) · Circulation · doi:10.1161/circulationaha.105.559633 · Cited by 267 · see citing works
Whole‐grain consumption and chronic disease: Protective mechanisms
Slavin, J. L., Jacobs, D. R., & Marquart, L. F. (1997) · Nutrition and Cancer · doi:10.1080/01635589709514495 · Cited by 241 · see citing works
Kabagambe, E. K., Baylín, A., Allan, D., Siles, X., Spiegelman, D. L., & Campos, H. (2001) · American Journal of Epidemiology · doi:10.1093/aje/154.12.1126 · Cited by 237 · see citing works
Self-citationNanri, A., Mizoue, T., Noda, M., Takahashi, Y., Kato, M., Inoue, M., & Tsugane, S. (2010) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.2010.29512 · Cited by 224 · see citing works
Papanikolaou, Y., & Fulgoni, V. L. I. (2008) · Journal of the American College of Nutrition · doi:10.1080/07315724.2008.10719740 · Cited by 211 · see citing works
Finocchiaro, F., Ferrari, B., Gianinetti, A., Dall’Asta, C., Galaverna, G., Scazzina, F., & Pellegrini, N. (2007) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.200700011 · Cited by 209 · see citing works
The potential health benefits of legumes as a good source of dietary fibre
Trinidad, T. P., Mallillin, A. C., Loyola, A. S., et al. (2009) · British Journal Of Nutrition · doi:10.1017/s0007114509992157 · Cited by 169 · see citing works
Campos, H., & Siles, X. (2000) · International Journal of Epidemiology · doi:10.1093/ije/29.3.429 · Cited by 141 · see citing works
Self-citationLarsen, H., Rasmussen, O., Rasmussen, P., Alstrup, K., Biswas, S., Tetens, I., Thilsted, S., & Hermansen, K. (2000) · European Journal of Clinical Nutrition · doi:10.1038/sj.ejcn.1600969 · Cited by 109 · see citing works
Pinto Bean Consumption Reduces Biomarkers for Heart Disease Risk
Winham, D. M., Hutchins, A. M., & Johnston, C. S. (2007) · Journal of the American College of Nutrition · doi:10.1080/07315724.2007.10719607 · Cited by 101 · see citing works
Noel, S. E., Newby, P. K., Ordovás, J. M., & Tucker, K. L. (2009) · Journal of Nutrition · doi:10.3945/jn.109.105874 · Cited by 98 · see citing works
Substituting Brown Rice for White Rice to Lower Diabetes Risk: A Focus-Group Study in Chinese Adults
Zhang, G., Malik, V., Pan, A., Kumar, S., Holmes, M. D., Spiegelman, D. L., Lin, X., & Hu, F. B. (2010) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2010.05.004 · Cited by 92 · see citing works
Self-citationKabagambe, E. K., Baylín, A., Ruiz-Narváez, E., Siles, X., & Campos, H. (2005) · Journal of Nutrition · doi:10.1093/jn/135.7.1770 · Cited by 89 · see citing works
Self-citationKabagambe, E. K., Baylín, A., Ascherio, A., & Campos, H. (2005) · Journal of Nutrition · doi:10.1093/jn/135.11.2674 · Cited by 87 · see citing works
Self-citationThe Challenge of Improving Food and Nutrition in Latin America
Uauy, R. D., & Monteiro, C. A. (2004) · Food and Nutrition Bulletin · doi:10.1177/156482650402500211 · Cited by 74 · see citing works
Mohan, V., Radhika, G., Vijayalakshmi, P., et al. (2010) · PubMed · Cited by 68 · see citing works
Truong, M., DiBello, J. R., Ruiz-Narváez, E., Kraft, P., Campos, H., & Baylín, A. (2009) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.2008.27107 · Cited by 55 · see citing works
Self-citationDietary patterns and risk of nonfatal acute myocardial infarction in Costa Rican adults
Martínez-Ortiz, J. A., Fung, T. T., Baylín, A., Hu, F. B., & Campos, H. (2006) · European Journal of Clinical Nutrition · doi:10.1038/sj.ejcn.1602381 · Cited by 45 · see citing works
Self-citationLarsen, H. N., Christensen, C., Rasmussen, O., Tetens, I., Choudhury, N. H., Thilsted, S. H., & Hermansen, K. (1996) · PubMed · Cited by 42 · see citing works
Sakuma, M., Yamanaka‐Okumura, H., Naniwa-Kuroki, Y., Matsumoto, D., Tsunematsu, M., Yamamoto, H., Taketani, Y., & Takeda, E. (2009) · Journal of Clinical Biochemistry and Nutrition · doi:10.3164/jcbn.08-232 · Cited by 29 · see citing works
Kabagambe, E. K., Baylín, A., Siles, X., & Campos, H. (2002) · Public Health Nutrition · doi:10.1079/phn2002372 · Cited by 29 · see citing works
Self-citation
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Sorted by citations
Anand, S. S., Hawkes, C., de Souza, R. J., Mente, A., Dehghan, M., Nugent, R., Zulyniak, M. A., Weis, T., Bernstein, A. M., Krauss, R. M., et al. (2015) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2015.07.050 · Cited by 507 · see citing works
Becerra-Tomás, N., Díaz-López, A., Rosique-Esteban, N., Ros, E., Buil-Cosiales, P., Corella, D., Estruch, R., Fitó, M., Serra-Majem, L., Arós, F., et al. (2018) · Clinical Nutrition · doi:10.1016/j.clnu.2017.03.015 · Cited by 179 · see citing works
The low-carbohydrate diet and cardiovascular risk factors: evidence from epidemiologic studies
Hu, T., & Bazzano, L. A. (2014) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2013.12.008 · Cited by 112 · see citing works
- Authors
- Mattei, J., Hu, F. B., & Campos, H.
- Affiliations
- Harvard University (US)
- Venue
- The American Journal of Clinical Nutrition
- Publisher
- Elsevier BV
- Published
- 2011-09
- Volume
- 94
- Issue
- 3
- Pages
- 869-872
- ISSN
- 0002-9165 (ISSN-L)
- PMC
- PMC3155926
- OpenAlex
- W2154745621
- Cited by
- 73
- References
- 34
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 4 · 2022: 4 · 2021: 9 · 2020: 3 · 2019: 7 · 2018: 6 · 2017: 5 · 2016: 5 · 2015: 8 · 2014: 7 · 2013: 6 · 2012: 3
- FWCI
- 5.03
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- American Journal of Clinical Nutrition (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Heart, Lung, and Blood Institute (HL 60692, HL49086, R01HL049086, R01HL060692)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
- Health Sciences › Nursing › Nutrition and Dietetics › Food composition and properties
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diet, Metabolism, and Disease
- Keywords
- beans, white rice, metabolic syndrome, cardiometabolic risk factors, systolic blood pressure, diastolic blood pressure, triglycerides, HDL cholesterol, fasting blood glucose, dietary substitution
- MeSH terms
- Aged, Blood Glucose, Blood Pressure, Costa Rica, Diabetes Mellitus, Type 2, Diet, Dietary Carbohydrates, Female, Humans, Fabaceae, Lipids, Male, Middle Aged, Oryza, Risk Factors, Multivariate Analysis, Odds Ratio, Metabolic Syndrome
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