Skip to main content

Dietary carbohydrate quality index and cardio-metabolic risk factors

A systematic review and meta-analysis

Published Online:https://doi.org/10.1024/0300-9831/a000794

Abstract:Introduction: Improving the quality of diet is known as one of the practical ways to reduce cardio-metabolic risk factors (CMRFs). The carbohydrate quality index (CQI) is a relatively new index to evaluate diet quality. It is calculated based on the ratio of solid carbohydrates to total carbohydrates, dietary fibre intake, glycemic index and the ratio of whole grains to total grains. This systematic review and meta-analysis was designed to investigate the association between dietary CQI and CMRFs. Methods: In this systematic review, some international databases, including Scopus, PubMed, EMBASE, Web of Science, and Google Scholar up to July 2022, were searched according to appropriate keywords. All observational studies with an English full text assessing the association between the dietary CQI and CMRFs were included. Two researchers independently extracted the data and assessed the quality of the articles with the Newcastle-Ottawa Scale. Random/fixed-effect meta-analysis was used to pool standardized mean difference (SMD) as an effect size. Results: 11 studies with a total of 63962 subjects were found to be eligible and included in the qualitative synthesis; only BMI, WC and metabolic syndrome reached the threshold of 3 reports with the same effect size and thus only 5 were included in the meta-analysis. The main finding of the included studies was that there were inverse associations between CQI and CMRFs, mainly obesity, glucose metabolism indices, and blood pressure. In the five studies included in the random effect meta-analysis, the association between CQI and body mass index (SMD: 0.45, 95%CI: −0.12, 1.01), waist circumference (SMD: −0.09, 95%CI: −0.34, 0.15) and metabolic syndrome (SMD: 0.63, 95%CI: −0.01, 1.28) was not statistically significant. Conclusion: Although the qualitative findings support the positive association of CQI with CMRFs, the evidence is insufficient to conclude robust findings. Further observational and interventional studies are needed to clearly elucidate this association.

References

  • 1 Cannon CP. Cardiovascular disease and modifiable cardiometabolic risk factors. Clin Cornerstone. 2007;8(3):11–28. First citation in articleCrossref MedlineGoogle Scholar

  • 2 Mohammadian Khonsari N, Khashayar P, Shahrestanaki E, Kelishadi R, Mohammadpoor Nami S, Heidari-Beni M, et al. Normal weight obesity and cardiometabolic risk factors: a systematic review and meta-analysis. Front Endocrinol. 2022;13. First citation in articleCrossref MedlineGoogle Scholar

  • 3 Qorbani M, Heidari-Beni M, Ejtahed H-S, Shafiee G, Goodarzi F, Tamehri Zadeh SS, et al. Association of vitamin D status and cardio-metabolic risk factors in children and adolescents: the CASPIAN-V study. BMC Nutr. 2021;7(1):71. First citation in articleCrossref MedlineGoogle Scholar

  • 4 Mohammadian Khonsari N, Shahrestanaki E, Ejtahed H-S, Djalalinia S, Sheidaei A, Hakak-Zargar B, et al. Long-term trends in hypertension prevalence, awareness, treatment, and control rate in the Middle East and North Africa: a systematic review and meta-analysis of 178 population-based studies. Curr Hypertens Rep. 2021;23(9):41. First citation in articleCrossref MedlineGoogle Scholar

  • 5 Bhatnagar P, Wickramasinghe K, Wilkins E, Townsend N. Trends in the epidemiology of cardiovascular disease in the UK. Heart. 2016;102(24):1945–52. First citation in articleCrossref MedlineGoogle Scholar

  • 6 Cooper R, Cutler J, Desvigne-Nickens P, Fortmann SP, Friedman L, Havlik R, et al. Trends and disparities in coronary heart disease, stroke, and other cardiovascular diseases in the United States: findings of the national conference on cardiovascular disease prevention. Circulation. 2000;102(25):3137–47. First citation in articleCrossref MedlineGoogle Scholar

  • 7 Pereira MA, Kottke TE, Jordan C, O’Connor PJ, Pronk NP, Carreón R. Preventing and managing cardiometabolic risk: the logic for intervention. Int J Environ Health Res. 2009;6(10):2568–84. First citation in articleCrossrefGoogle Scholar

  • 8 Arefirad T, Seif E, Sepidarkish M, Mohammadian Khonsari N, Mousavifar SA, Yazdani S, et al. Effect of exercise training on nitric oxide and nitrate/nitrite (NOx) production: A systematic review and meta-analysis. Front Physiol. 2022;13. First citation in articleCrossref MedlineGoogle Scholar

  • 9 Reynolds A, Mann J, Cummings J, Winter N, Mete E, Te Morenga L. Carbohydrate quality and human health: a series of systematic reviews and meta-analyses. Lancet. 2019;393(10170):434–45. First citation in articleCrossref MedlineGoogle Scholar

  • 10 Eliasson A-C. Carbohydrates in food. CRC Press, 2006. First citation in articleCrossrefGoogle Scholar

  • 11 Ludwig DS, Hu FB, Tappy L, Brand-Miller J. Dietary carbohydrates: role of quality and quantity in chronic disease. BMJ. 2018;361. First citation in articleGoogle Scholar

  • 12 Dall’Asta M, Del Rio D, Tappy L, Potì F, Agostoni C, Brighenti F. Critical and emerging topics in dietary carbohydrates and health. Int J Food Sci Nutr. 2020;71(3):286–95. First citation in articleCrossref MedlineGoogle Scholar

  • 13 Monro JA, Shaw M. Glycemic impact, glycemic glucose equivalents, glycemic index, and glycemic load: definitions, distinctions, and implications. Am J Clin Nutr. 2008;87(1):237S–43S. First citation in articleCrossref MedlineGoogle Scholar

  • 14 Suara SB, Siassi F, Saaka M, Rahimiforoushani A, Sotoudeh G. Relationship between dietary carbohydrate quality index and metabolic syndrome among type 2 diabetes mellitus subjects: a case-control study from Ghana. BMC Public Health. 2021;21(1):526. First citation in articleCrossref MedlineGoogle Scholar

  • 15 Sawicki CM, Lichtenstein AH, Rogers GT, Jacques PF, Ma J, Saltzman E, et al. Comparison of indices of carbohydrate quality and food sources of dietary fiber on longitudinal changes in waist circumference in the Framingham offspring cohort. Nutrients. 2021;13(3):997. First citation in articleCrossref MedlineGoogle Scholar

  • 16 Fernandez-Lazaro CI, Zazpe I, Santiago S, Toledo E, Barbería-Latasa M, Martínez-González MÁ. Association of carbohydrate quality and all-cause mortality in the SUN Project: A prospective cohort study. Clin Nutr. 2021;40(4):2364–72. First citation in articleCrossref MedlineGoogle Scholar

  • 17 Suara SB, Siassi F, Saaka M, Rahimi Foroshani A, Sotoudeh G. Association between Carbohydrate Quality Index and general and abdominal obesity in women: a cross-sectional study from Ghana. BMJ Open. 2019;9(12):e033038. First citation in articleCrossref MedlineGoogle Scholar

  • 18 Kim DY, Kim SH, Lim H. Association between dietary carbohydrate quality and the prevalence of obesity and hypertension. J Hum Nutr Diet. 2018;31(5):587–96. First citation in articleCrossref MedlineGoogle Scholar

  • 19 Zazpe I, Santiago S, Gea A, Ruiz-Canela M, Carlos S, Bes-Rastrollo M, et al. Association between a dietary carbohydrate index and cardiovascular disease in the SUN (Seguimiento Universidad de Navarra) Project. Nutr Metab Cardiovasc Dis. 2016;26(11):1048–56. First citation in articleCrossref MedlineGoogle Scholar

  • 20 Santiago S, Zazpe I, Bes-Rastrollo M, Sánchez-Tainta A, Sayón-Orea C, de la Fuente-Arrillaga C, et al. Carbohydrate quality, weight change and incident obesity in a Mediterranean cohort: the SUN Project. Eur J Clin Nutr. 2015;69(3):297–302. First citation in articleCrossref MedlineGoogle Scholar

  • 21 Shamseer L, Moher D, Clarke M, Ghersi D, Liberati A, Petticrew M, et al. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015: elaboration and explanation. BMJ. 2015;349:g7647. First citation in articleCrossrefGoogle Scholar

  • 22 Wells GA, Shea B, O’Connell D, Peterson J, Welch V, Losos M, et al. The Newcastle-Ottawa Scale (NOS) for assessing the quality of nonrandomised studies in meta-analyses. Oxford, 2000. First citation in articleGoogle Scholar

  • 23 Modesti PA, Reboldi G, Cappuccio FP, Agyemang C, Remuzzi G, Rapi S, et al. Panethnic differences in blood pressure in Europe: a systematic review and meta-analysis. PLoS One. 2016;11(1):e0147601. First citation in articleCrossref MedlineGoogle Scholar

  • 24 Jebraeili H, Shabbidar S, Sajjadpour Z, Aghdam SD, Qorbani M, Rajab A, et al. The association between carbohydrate quality index and anthropometry, blood glucose, lipid profile and blood pressure in people with type 1 diabetes mellitus: a cross-sectional study in Iran. J Diabetes Metab Disord. 2021. First citation in articleCrossref MedlineGoogle Scholar

  • 25 Santiago S, Zazpe I, Fernandez-Lazaro CI, de la Vicotor O, Bes-Rastrollo M, Martinez-Gonzalez MA. Macronutrient quality and all-cause mortality in the sun cohort. Nutrients. 2021;13(3):972. First citation in articleCrossref MedlineGoogle Scholar

  • 26 Martínez-González MA, Fernandez-Lazaro CI, Toledo E, Díaz-López A, Corella D, Goday A, et al. Carbohydrate quality changes and concurrent changes in cardiovascular risk factors: a longitudinal analysis in the PREDIMED-Plus randomized trial. BMJ Open. 2020;111(2):291–306. First citation in articleGoogle Scholar

  • 27 Muñoz-Cabrejas A, Laclaustra M, Guallar-Castillón P, Casasnovas JA, Jarauta E, Sandoval-Insausti H, et al. High-quality intake of carbohydrates is associated with lower prevalence of subclinical atherosclerosis in femoral arteries: The AWHS study. Clin Nutr. 2021;40(6):3883–9. First citation in articleCrossref MedlineGoogle Scholar

  • 28 Majdi M, Imani H, Bazshahi E, Hosseini F, Djafarian K, Lesani A, et al. Habitual- and meal-specific carbohydrate quality index and their relation to metabolic syndrome in a sample of Iranian adults. Front Nutr. 2022;9:763345. First citation in articleCrossref MedlineGoogle Scholar

  • 29 Ludwig DS, Pereira MA, Kroenke CH, Hilner JE, Van Horn L, Slattery ML, et al. Dietary fiber, weight gain, and cardiovascular disease risk factors in young adults. JAMA. 1999;282(16):1539–46. First citation in articleCrossref MedlineGoogle Scholar

  • 30 Yancy WS, Wang C-C, Maciejewski ML. Trends in energy and macronutrient intakes by weight status over four decades. Public Health Nutr. 2014;17(2):256–65. First citation in articleCrossref MedlineGoogle Scholar

  • 31 Nas A, Mirza N, Hägele F, Kahlhöfer J, Keller J, Rising R, et al. Impact of breakfast skipping compared with dinner skipping on regulation of energy balance and metabolic risk. Am J Clin Nutr. 2017;105(6):1351–61. First citation in articleCrossref MedlineGoogle Scholar

  • 32 Chambers ES, Byrne CS, Frost G. Carbohydrate and human health: is it all about quality? Lancet. 2019;393(10170):384–6. First citation in articleCrossref MedlineGoogle Scholar

  • 33 Santiago S, Zazpe I, Gea A, Nuñez-Córdoba JM, Carlos S, Bes-Rastrollo M, et al. Fat quality index and risk of cardiovascular disease in the sun project. J Nutr Health Aging. 2018;22(4):526–33. First citation in articleCrossref MedlineGoogle Scholar

  • 34 Moussavi Javardi MS, Madani Z, Movahedi A, Karandish M, Abbasi B. The correlation between dietary fat quality indices and lipid profile with Atherogenic index of plasma in obese and non-obese volunteers: a cross-sectional descriptive-analytic case-control study. Lipids Health Dis. 2020;19(1):213. First citation in articleCrossref MedlineGoogle Scholar

  • 35 Vaclavik VA, Christian EW, Campbell T. Essentials of food science. Springer, 2008. First citation in articleGoogle Scholar

  • 36 Potter NN, Hotchkiss JH. Food science. Springer Science & Business Media, 2012. First citation in articleGoogle Scholar