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Published in: BMC Cardiovascular Disorders 1/2024

Open Access 01-12-2024 | Research

Macronutrients quality indices and risk of metabolic syndrome and its components in Iranian adults

Authors: Hossein Farhadnejad, Ebrahim Mokhtari, Farshad Teymoori, Mitra Kazemi Jahromi, Niloufar Saber, Hamid Ahmadirad, Mostafa Norouzzadeh, Parvin Mirmiran, Fereidoun Azizi

Published in: BMC Cardiovascular Disorders | Issue 1/2024

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Abstract

Background/aim

Evidence from recent studies suggested that the quality of dietary macronutrients can play a possible role in predicting the risk of metabolic disorders. In the current study, we aimed to assess the association of carbohydrate quality index (CQI) and protein score with the risk of metabolic syndrome (MetS) in Iranian adults.

Methods

This prospective study was conducted within the framework of the Tehran Lipid and Glucose Study on 1738 individuals aged between 40 and 70 years old, who were followed up for a mean of 6.1 years. A food frequency questionnaire was used to determine CQI and protein scores. The multivariable adjusted Cox regression model was used to calculate the hazard ratio (HR) of MetS across quartiles of protein score and CQI, and its components.

Results

The mean ± standard deviation (SD) age and body mass index of the study population (42.5% men) were 49.3 ± 7.5 years and 27.0 ± 4.0 kg/m2, respectively. Mean ± SD scores of CQI and protein for all participants were 12.6 ± 2.4 and 10.3 ± 3.5, respectively. During the study follow-up, 834(48.0%) new cases of MetS were ascertained. In the multivariable-adjusted model, the risk of MetS was decreased across quartiles of CQI (HR = 0.83;95%CI:0.69–1.00, Ptrend=0.025) and protein score (HR = 0.75; 95% CI:0.60–0.94, Ptrend=0.041). Also, Of CQI components, the whole grain/total grains ratio showed a significant inverse association with the risk of MetS (HR = 0.75;95%CI:0.60–0.94, Ptrend=0.012).

Conclusion

Our findings revealed that a dietary pattern with higher CQI and protein score may be related to a reduced risk of MetS in adults.
Appendix
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Literature
1.
go back to reference Ahmed M, Kumari N, Mirgani Z, Saeed A, Ramadan A, Ahmed MH, et al. Metabolic syndrome; definition, Pathogenesis, elements, and the effects of medicinal plants on it’s elements. J Diabetes Metab Disord. 2022;21(1):1011–22.PubMedPubMedCentralCrossRef Ahmed M, Kumari N, Mirgani Z, Saeed A, Ramadan A, Ahmed MH, et al. Metabolic syndrome; definition, Pathogenesis, elements, and the effects of medicinal plants on it’s elements. J Diabetes Metab Disord. 2022;21(1):1011–22.PubMedPubMedCentralCrossRef
2.
go back to reference Saklayen MG. The global epidemic of the metabolic syndrome. Curr Hypertens Rep. 2018;20(2):1–8.CrossRef Saklayen MG. The global epidemic of the metabolic syndrome. Curr Hypertens Rep. 2018;20(2):1–8.CrossRef
3.
go back to reference Silveira Rossi JL, Barbalho SM, Reverete de Araujo R, Bechara MD, Sloan KP, Sloan LA. Metabolic syndrome and cardiovascular diseases: going beyond traditional risk factors. Diab/Metab Res Rev. 2022;38(3):e3502.CrossRef Silveira Rossi JL, Barbalho SM, Reverete de Araujo R, Bechara MD, Sloan KP, Sloan LA. Metabolic syndrome and cardiovascular diseases: going beyond traditional risk factors. Diab/Metab Res Rev. 2022;38(3):e3502.CrossRef
4.
go back to reference Mendrick DL, Diehl AM, Topor LS, Dietert RR, Will Y, La Merrill MA, et al. Metabolic syndrome and associated diseases: from the bench to the clinic. Toxicol Sci. 2018;162(1):36–42.PubMedCrossRef Mendrick DL, Diehl AM, Topor LS, Dietert RR, Will Y, La Merrill MA, et al. Metabolic syndrome and associated diseases: from the bench to the clinic. Toxicol Sci. 2018;162(1):36–42.PubMedCrossRef
5.
go back to reference Scholze J, Alegria E, Ferri C, Langham S, Stevens W, Jeffries D, et al. Epidemiological and economic burden of metabolic syndrome and its consequences in patients with hypertension in Germany, Spain and Italy; a prevalence-based model. BMC Public Health. 2010;10(1):529.PubMedPubMedCentralCrossRef Scholze J, Alegria E, Ferri C, Langham S, Stevens W, Jeffries D, et al. Epidemiological and economic burden of metabolic syndrome and its consequences in patients with hypertension in Germany, Spain and Italy; a prevalence-based model. BMC Public Health. 2010;10(1):529.PubMedPubMedCentralCrossRef
6.
go back to reference Zhang Q, Wang Y, Yu N, Ding H, Li D, Zhao X. Metabolic syndrome predicts incident disability and functional decline among Chinese older adults: results from the China Health and Retirement Longitudinal Study. Aging Clin Exp Res. 2021;33(11):3073–80.PubMedCrossRef Zhang Q, Wang Y, Yu N, Ding H, Li D, Zhao X. Metabolic syndrome predicts incident disability and functional decline among Chinese older adults: results from the China Health and Retirement Longitudinal Study. Aging Clin Exp Res. 2021;33(11):3073–80.PubMedCrossRef
7.
go back to reference Lidén E, Karlsson B, Torén K, Andersson E. Metabolic syndrome - a risk factor for all-cause disability pension: a prospective study based on the Swedish WOLF cohort. Scand J Work Environ Health. 2020;46(4):402–9.PubMedPubMedCentralCrossRef Lidén E, Karlsson B, Torén K, Andersson E. Metabolic syndrome - a risk factor for all-cause disability pension: a prospective study based on the Swedish WOLF cohort. Scand J Work Environ Health. 2020;46(4):402–9.PubMedPubMedCentralCrossRef
8.
go back to reference Radwan H, Ballout RA, Hasan H, Lessan N, Karavetian M, Rizk R. The Epidemiology and Economic Burden of Obesity and Related Cardiometabolic Disorders in the United Arab Emirates: A Systematic Review and Qualitative Synthesis. 2018;2018:2185942. Radwan H, Ballout RA, Hasan H, Lessan N, Karavetian M, Rizk R. The Epidemiology and Economic Burden of Obesity and Related Cardiometabolic Disorders in the United Arab Emirates: A Systematic Review and Qualitative Synthesis. 2018;2018:2185942.
9.
go back to reference do Vale Moreira NC, Hussain A, Bhowmik B, Mdala I, Siddiquee T, Fernandes VO et al. Prevalence of Metabolic Syndrome by different definitions, and its association with type 2 diabetes, pre-diabetes, and cardiovascular disease risk in Brazil. Diabetes & Metabolic Syndrome: Clinical Research & Reviews. 2020;14(5):1217-24. do Vale Moreira NC, Hussain A, Bhowmik B, Mdala I, Siddiquee T, Fernandes VO et al. Prevalence of Metabolic Syndrome by different definitions, and its association with type 2 diabetes, pre-diabetes, and cardiovascular disease risk in Brazil. Diabetes & Metabolic Syndrome: Clinical Research & Reviews. 2020;14(5):1217-24.
10.
go back to reference Tabatabaei-Malazy O, Saeedi Moghaddam S, Rezaei N, Sheidaei A, Hajipour MJ, Mahmoudi N, et al. A nationwide study of metabolic syndrome prevalence in Iran; a comparative analysis of six definitions. PLoS ONE. 2021;16(3):e0241926.PubMedPubMedCentralCrossRef Tabatabaei-Malazy O, Saeedi Moghaddam S, Rezaei N, Sheidaei A, Hajipour MJ, Mahmoudi N, et al. A nationwide study of metabolic syndrome prevalence in Iran; a comparative analysis of six definitions. PLoS ONE. 2021;16(3):e0241926.PubMedPubMedCentralCrossRef
11.
go back to reference Cho YA, Choi JH. Association between Carbohydrate Intake and the prevalence of metabolic syndrome in Korean Women. Nutrients. 2021;13(9). Cho YA, Choi JH. Association between Carbohydrate Intake and the prevalence of metabolic syndrome in Korean Women. Nutrients. 2021;13(9).
12.
go back to reference Fabiani R, Naldini G, Chiavarini M. Dietary patterns and metabolic syndrome in adult subjects: a systematic review and Meta-analysis. Nutrients. 2019;11(9). Fabiani R, Naldini G, Chiavarini M. Dietary patterns and metabolic syndrome in adult subjects: a systematic review and Meta-analysis. Nutrients. 2019;11(9).
13.
go back to reference Hernández-Alonso P, Salas-Salvadó J, Ruiz-Canela M, Corella D, Estruch R, Fitó M, et al. High dietary protein intake is associated with an increased body weight and total death risk. Clin Nutr. 2016;35(2):496–506.PubMedCrossRef Hernández-Alonso P, Salas-Salvadó J, Ruiz-Canela M, Corella D, Estruch R, Fitó M, et al. High dietary protein intake is associated with an increased body weight and total death risk. Clin Nutr. 2016;35(2):496–506.PubMedCrossRef
14.
go back to reference Shang X, Scott D, Hodge A, English DR, Giles GG, Ebeling PR, et al. Dietary protein from different food sources, incident metabolic syndrome and changes in its components: an 11-year longitudinal study in healthy community-dwelling adults. Clin Nutr. 2017;36(6):1540–8.PubMedCrossRef Shang X, Scott D, Hodge A, English DR, Giles GG, Ebeling PR, et al. Dietary protein from different food sources, incident metabolic syndrome and changes in its components: an 11-year longitudinal study in healthy community-dwelling adults. Clin Nutr. 2017;36(6):1540–8.PubMedCrossRef
15.
go back to reference Møller G, Sluik D, Ritz C, Mikkilä V, Raitakari OT, Hutri-Kähönen N et al. A protein Diet score, including plant and Animal Protein, Investigating the Association with HbA1c and eGFR-The PREVIEW Project. Nutrients. 2017;9(7). Møller G, Sluik D, Ritz C, Mikkilä V, Raitakari OT, Hutri-Kähönen N et al. A protein Diet score, including plant and Animal Protein, Investigating the Association with HbA1c and eGFR-The PREVIEW Project. Nutrients. 2017;9(7).
16.
go back to reference Teymoori F, Farhadnejad H, Jahromi MK, Vafa M, Ahmadirad H, Mirmiran P, et al. Dietary protein score and carbohydrate quality index with the risk of chronic kidney disease: findings from a prospective cohort study. Front Nutr. 2022;9:1003545.PubMedPubMedCentralCrossRef Teymoori F, Farhadnejad H, Jahromi MK, Vafa M, Ahmadirad H, Mirmiran P, et al. Dietary protein score and carbohydrate quality index with the risk of chronic kidney disease: findings from a prospective cohort study. Front Nutr. 2022;9:1003545.PubMedPubMedCentralCrossRef
17.
go back to reference Liu YS, Wu QJ, Xia Y, Zhang JY, Jiang YT, Chang Q, et al. Carbohydrate intake and risk of metabolic syndrome: a dose-response meta-analysis of observational studies. Nutr Metab Cardiovasc Dis. 2019;29(12):1288–98.PubMedCrossRef Liu YS, Wu QJ, Xia Y, Zhang JY, Jiang YT, Chang Q, et al. Carbohydrate intake and risk of metabolic syndrome: a dose-response meta-analysis of observational studies. Nutr Metab Cardiovasc Dis. 2019;29(12):1288–98.PubMedCrossRef
18.
go back to reference Park H, Shin D. Effects of Interaction between SLC35F3 and carbohydrate intake on the incidence of metabolic syndrome in Korean Middle-aged adults. Nutrients. 2023;15(2). Park H, Shin D. Effects of Interaction between SLC35F3 and carbohydrate intake on the incidence of metabolic syndrome in Korean Middle-aged adults. Nutrients. 2023;15(2).
19.
go back to reference Nabuco HCG, Tomeleri CM, Sugihara Junior P, Dos Reis Fernandes R, Cavalcante EF, Antunes M, et al. Lower protein and higher carbohydrate intake are related with altering metabolic syndrome components in elderly women: a cross-sectional study. Exp Gerontol. 2018;103:132–7.PubMedCrossRef Nabuco HCG, Tomeleri CM, Sugihara Junior P, Dos Reis Fernandes R, Cavalcante EF, Antunes M, et al. Lower protein and higher carbohydrate intake are related with altering metabolic syndrome components in elderly women: a cross-sectional study. Exp Gerontol. 2018;103:132–7.PubMedCrossRef
20.
go back to reference Campos V, Tappy L, Bally L, Sievenpiper JL, Lê KA. Importance of Carbohydrate Quality: what does it Mean and how to measure it? J Nutr. 2022;152(5):1200–6.PubMedPubMedCentralCrossRef Campos V, Tappy L, Bally L, Sievenpiper JL, Lê KA. Importance of Carbohydrate Quality: what does it Mean and how to measure it? J Nutr. 2022;152(5):1200–6.PubMedPubMedCentralCrossRef
21.
go back to reference Zazpe I, Sánchez-Taínta A, Santiago S, de la Fuente-Arrillaga C, Bes-Rastrollo M, Martínez JA, et al. Association between dietary carbohydrate intake quality and micronutrient intake adequacy in a Mediterranean cohort: the SUN (Seguimiento Universidad De Navarra) Project. Br J Nutr. 2014;111(11):2000–9.PubMedCrossRef Zazpe I, Sánchez-Taínta A, Santiago S, de la Fuente-Arrillaga C, Bes-Rastrollo M, Martínez JA, et al. Association between dietary carbohydrate intake quality and micronutrient intake adequacy in a Mediterranean cohort: the SUN (Seguimiento Universidad De Navarra) Project. Br J Nutr. 2014;111(11):2000–9.PubMedCrossRef
22.
go back to reference 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.PubMedCrossRef 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.PubMedCrossRef
23.
go back to reference 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.PubMedCrossRef 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.PubMedCrossRef
24.
go back to reference 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.PubMedCrossRef 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.PubMedCrossRef
25.
go back to reference 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. Am J Clin Nutr. 2020;111(2):291–306.PubMedCrossRef 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. Am J Clin Nutr. 2020;111(2):291–306.PubMedCrossRef
26.
go back to reference 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. 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.
27.
go back to reference 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):1–12.CrossRef 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):1–12.CrossRef
28.
go back to reference Azizi F, Ghanbarian A, Momenan AA, Hadaegh F, Mirmiran P, Hedayati M, et al. Prevention of non-communicable disease in a population in nutrition transition: Tehran lipid and glucose study phase II. Trials. 2009;10:5.PubMedPubMedCentralCrossRef Azizi F, Ghanbarian A, Momenan AA, Hadaegh F, Mirmiran P, Hedayati M, et al. Prevention of non-communicable disease in a population in nutrition transition: Tehran lipid and glucose study phase II. Trials. 2009;10:5.PubMedPubMedCentralCrossRef
29.
go back to reference Mirmiran P, Farhadnejad H, Teymoori F, Parastouei K, Azizi F. The higher adherence to healthy lifestyle factors is associated with a decreased risk of metabolic syndrome in Iranian adults. Nutr Bull. 2022;47(1):57–67.PubMedCrossRef Mirmiran P, Farhadnejad H, Teymoori F, Parastouei K, Azizi F. The higher adherence to healthy lifestyle factors is associated with a decreased risk of metabolic syndrome in Iranian adults. Nutr Bull. 2022;47(1):57–67.PubMedCrossRef
30.
go back to reference Willett W. Nutritional epidemiology. Oxford University Press; 2012. Willett W. Nutritional epidemiology. Oxford University Press; 2012.
31.
go back to reference Momenan AA, Delshad M, Sarbazi N, Rezaei Ghaleh N, Ghanbarian A, Azizi F. Reliability and validity of the modifiable activity questionnaire (MAQ) in an Iranian urban adult population. Arch Iran Med. 2012;15(5):279–82.PubMed Momenan AA, Delshad M, Sarbazi N, Rezaei Ghaleh N, Ghanbarian A, Azizi F. Reliability and validity of the modifiable activity questionnaire (MAQ) in an Iranian urban adult population. Arch Iran Med. 2012;15(5):279–82.PubMed
32.
go back to reference Esfahani FH, Asghari G, Mirmiran P, Azizi F. Reproducibility and relative validity of food group intake in a food frequency questionnaire developed for the Tehran lipid and glucose study. J Epidemiol. 2010;20(2):150–8.PubMedCrossRef Esfahani FH, Asghari G, Mirmiran P, Azizi F. Reproducibility and relative validity of food group intake in a food frequency questionnaire developed for the Tehran lipid and glucose study. J Epidemiol. 2010;20(2):150–8.PubMedCrossRef
33.
go back to reference Satija A, Hu FB. Cardiovascular benefits of dietary fiber. Curr Atheroscler Rep. 2012;14(6):505–14.PubMedCrossRef Satija A, Hu FB. Cardiovascular benefits of dietary fiber. Curr Atheroscler Rep. 2012;14(6):505–14.PubMedCrossRef
34.
go back to reference Azar M, Sarkisian E. Food composition table of Iran: National Nutrition and food research institute. Tehran: Shaheed Beheshti University; 1980. Azar M, Sarkisian E. Food composition table of Iran: National Nutrition and food research institute. Tehran: Shaheed Beheshti University; 1980.
35.
go back to reference Taleban F, Esmaeili M. Glycemic index of Iranian foods: Guideline for diabetic and hyperlipidemic patients. Tehran: National Nutrition and Food Technology of Iran, Shahid Beheshti University of Medical Science; 1999. Taleban F, Esmaeili M. Glycemic index of Iranian foods: Guideline for diabetic and hyperlipidemic patients. Tehran: National Nutrition and Food Technology of Iran, Shahid Beheshti University of Medical Science; 1999.
36.
go back to reference Foster-Powell K, Holt SH, Brand-Miller JC. International table of glycemic index and glycemic load values: 2002. Am J Clin Nutr. 2002;76(1):5–56.PubMedCrossRef Foster-Powell K, Holt SH, Brand-Miller JC. International table of glycemic index and glycemic load values: 2002. Am J Clin Nutr. 2002;76(1):5–56.PubMedCrossRef
37.
go back to reference Alberti KG, Eckel RH, Grundy SM, Zimmet PZ, Cleeman JI, Donato KA et al. Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation. 2009;120(16):1640-5. Alberti KG, Eckel RH, Grundy SM, Zimmet PZ, Cleeman JI, Donato KA et al. Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation. 2009;120(16):1640-5.
38.
go back to reference Azizi F, Hadaegh F, Khalili D, Esteghamati A, Hosseinpanah F, Delavari A, et al. Appropriate definition of metabolic syndrome among Iranian adults: report of the Iranian National Committee of Obesity. Arch Iran Med. 2010;13(5):426–8.PubMed Azizi F, Hadaegh F, Khalili D, Esteghamati A, Hosseinpanah F, Delavari A, et al. Appropriate definition of metabolic syndrome among Iranian adults: report of the Iranian National Committee of Obesity. Arch Iran Med. 2010;13(5):426–8.PubMed
39.
go back to reference Nikrad N, Hosseini B, Pakmehr A, Tousi AZ, Ardekani AM, Farhangi MA, et al. Dietary carbohydrate quality index (CQI), cardio-metabolic risk factors and insulin resistance among adults with obesity. BMC Endocr Disord. 2023;23(1):171.PubMedPubMedCentralCrossRef Nikrad N, Hosseini B, Pakmehr A, Tousi AZ, Ardekani AM, Farhangi MA, et al. Dietary carbohydrate quality index (CQI), cardio-metabolic risk factors and insulin resistance among adults with obesity. BMC Endocr Disord. 2023;23(1):171.PubMedPubMedCentralCrossRef
40.
go back to reference de Mello Fontanelli M, Sales CH, Carioca AAF, Marchioni DM, Fisberg RM. The relationship between carbohydrate quality and the prevalence of metabolic syndrome: challenges of glycemic index and glycemic load. Eur J Nutr. 2018;57(3):1197–205.PubMedCrossRef de Mello Fontanelli M, Sales CH, Carioca AAF, Marchioni DM, Fisberg RM. The relationship between carbohydrate quality and the prevalence of metabolic syndrome: challenges of glycemic index and glycemic load. Eur J Nutr. 2018;57(3):1197–205.PubMedCrossRef
41.
go back to reference Augustin LS, Kendall CW, Jenkins DJ, Willett WC, Astrup A, Barclay AW et al. Glycemic index, glycemic load and glycemic response: an International Scientific Consensus Summit from the International Carbohydrate Quality Consortium (ICQC). Nutrition, metabolism and cardiovascular diseases. 2015;25(9):795–815. Augustin LS, Kendall CW, Jenkins DJ, Willett WC, Astrup A, Barclay AW et al. Glycemic index, glycemic load and glycemic response: an International Scientific Consensus Summit from the International Carbohydrate Quality Consortium (ICQC). Nutrition, metabolism and cardiovascular diseases. 2015;25(9):795–815.
42.
go back to reference Juanola-Falgarona M, Salas‐Salvadó J, Buil‐Cosiales P, Corella D, Estruch R, Ros E, et al. Dietary glycemic index and glycemic load are positively associated with risk of developing metabolic syndrome in middle‐aged and elderly adults. J Am Geriatr Soc. 2015;63(10):1991–2000.PubMedCrossRef Juanola-Falgarona M, Salas‐Salvadó J, Buil‐Cosiales P, Corella D, Estruch R, Ros E, et al. Dietary glycemic index and glycemic load are positively associated with risk of developing metabolic syndrome in middle‐aged and elderly adults. J Am Geriatr Soc. 2015;63(10):1991–2000.PubMedCrossRef
43.
go back to reference Slavin JL, Martini MC, Jacobs DR Jr, Marquart L. Plausible mechanisms for the protectiveness of whole grains. Am J Clin Nutr. 1999;70(3):459s–63s.PubMedCrossRef Slavin JL, Martini MC, Jacobs DR Jr, Marquart L. Plausible mechanisms for the protectiveness of whole grains. Am J Clin Nutr. 1999;70(3):459s–63s.PubMedCrossRef
44.
go back to reference Aleixandre A, Miguel M. Dietary Fiber in the Prevention and Treatment of metabolic syndrome: a review. Crit Rev Food Sci Nutr. 2008;48(10):905–12.PubMedCrossRef Aleixandre A, Miguel M. Dietary Fiber in the Prevention and Treatment of metabolic syndrome: a review. Crit Rev Food Sci Nutr. 2008;48(10):905–12.PubMedCrossRef
45.
go back to reference Askin L, Duman H, Ozyıldız A, Tanriverdi O. Association of serum chemerin levels with coronary artery disease: pathogenesis and clinical research. Cardiovasc Innovations Appl. 2020;4(4):251–6. Askin L, Duman H, Ozyıldız A, Tanriverdi O. Association of serum chemerin levels with coronary artery disease: pathogenesis and clinical research. Cardiovasc Innovations Appl. 2020;4(4):251–6.
46.
go back to reference Galisteo M, Duarte J, Zarzuelo A. Effects of dietary fibers on disturbances clustered in the metabolic syndrome. J Nutr Biochem. 2008;19(2):71–84.PubMedCrossRef Galisteo M, Duarte J, Zarzuelo A. Effects of dietary fibers on disturbances clustered in the metabolic syndrome. J Nutr Biochem. 2008;19(2):71–84.PubMedCrossRef
47.
go back to reference Guo H, Ding J, Liang J, Zhang Y. Associations of whole grain and refined grain consumption with metabolic syndrome. A meta-analysis of observational studies. Front Nutr. 2021;8:695620.PubMedPubMedCentralCrossRef Guo H, Ding J, Liang J, Zhang Y. Associations of whole grain and refined grain consumption with metabolic syndrome. A meta-analysis of observational studies. Front Nutr. 2021;8:695620.PubMedPubMedCentralCrossRef
48.
go back to reference Teff KL, Devine J, Engelman K. Sweet taste: effect on cephalic phase insulin release in men. Physiol Behav. 1995;57(6):1089–95.PubMedCrossRef Teff KL, Devine J, Engelman K. Sweet taste: effect on cephalic phase insulin release in men. Physiol Behav. 1995;57(6):1089–95.PubMedCrossRef
49.
go back to reference Ohara I, Otsuka S-I, Yugari Y. The influence of carrier of gustatory stimulation on the cephalic phase of canine pancreatic secretion. J Nutr. 1979;109(12):2098–105.PubMedCrossRef Ohara I, Otsuka S-I, Yugari Y. The influence of carrier of gustatory stimulation on the cephalic phase of canine pancreatic secretion. J Nutr. 1979;109(12):2098–105.PubMedCrossRef
50.
go back to reference Naim M, Kare MR, Merritt AM. Effects of oral stimulation on the cephalic phase of pancreatic exocrine secretion in dogs. Physiol Behav. 1978;20(5):563–70.PubMedCrossRef Naim M, Kare MR, Merritt AM. Effects of oral stimulation on the cephalic phase of pancreatic exocrine secretion in dogs. Physiol Behav. 1978;20(5):563–70.PubMedCrossRef
51.
go back to reference Hunt J, Smith J, Jiang C. Effect of meal volume and energy density on the gastric emptying of carbohydrates. Gastroenterology. 1985;89(6):1326–30.PubMedCrossRef Hunt J, Smith J, Jiang C. Effect of meal volume and energy density on the gastric emptying of carbohydrates. Gastroenterology. 1985;89(6):1326–30.PubMedCrossRef
52.
go back to reference Trumbo PR. Global evaluation of the use of glycaemic impact measurements to food or nutrient intake. Public Health Nutr. 2021;24(12):3966–75.PubMedCrossRef Trumbo PR. Global evaluation of the use of glycaemic impact measurements to food or nutrient intake. Public Health Nutr. 2021;24(12):3966–75.PubMedCrossRef
53.
go back to reference Azemati B, Rajaram S, Jaceldo-Siegl K, Haddad EH, Shavlik D, Fraser GE. Dietary animal to plant protein ratio is associated with risk factors of metabolic syndrome in participants of the AHS-2 calibration study. Nutrients. 2021;13(12):4296.PubMedPubMedCentralCrossRef Azemati B, Rajaram S, Jaceldo-Siegl K, Haddad EH, Shavlik D, Fraser GE. Dietary animal to plant protein ratio is associated with risk factors of metabolic syndrome in participants of the AHS-2 calibration study. Nutrients. 2021;13(12):4296.PubMedPubMedCentralCrossRef
54.
go back to reference Hajihashemi P, Hassannejad R, Haghighatdoost F, Mohammadifard N, Sadeghi M, Roohafza H, et al. The long-term association of different dietary protein sources with metabolic syndrome. Sci Rep. 2021;11(1):19394.PubMedPubMedCentralCrossRefADS Hajihashemi P, Hassannejad R, Haghighatdoost F, Mohammadifard N, Sadeghi M, Roohafza H, et al. The long-term association of different dietary protein sources with metabolic syndrome. Sci Rep. 2021;11(1):19394.PubMedPubMedCentralCrossRefADS
55.
go back to reference Chalvon-Demersay T, Azzout-Marniche D, Arfsten J, Egli L, Gaudichon C, Karagounis LG, et al. A systematic review of the effects of plant compared with animal protein sources on features of metabolic syndrome. J Nutr. 2017;147(3):281–92.PubMed Chalvon-Demersay T, Azzout-Marniche D, Arfsten J, Egli L, Gaudichon C, Karagounis LG, et al. A systematic review of the effects of plant compared with animal protein sources on features of metabolic syndrome. J Nutr. 2017;147(3):281–92.PubMed
56.
go back to reference Castro-Barquero S, Ruiz-León AM, Sierra-Pérez M, Estruch R, Casas R. Dietary strategies for metabolic syndrome: a comprehensive review. Nutrients. 2020;12(10):2983.PubMedPubMedCentralCrossRef Castro-Barquero S, Ruiz-León AM, Sierra-Pérez M, Estruch R, Casas R. Dietary strategies for metabolic syndrome: a comprehensive review. Nutrients. 2020;12(10):2983.PubMedPubMedCentralCrossRef
57.
go back to reference Huang J, Zhang M, Mujumdar AS, Ma Y. Technological innovations enhance postharvest fresh food resilience from a supply chain perspective. Crit Rev Food Sci Nutr.1–23. Huang J, Zhang M, Mujumdar AS, Ma Y. Technological innovations enhance postharvest fresh food resilience from a supply chain perspective. Crit Rev Food Sci Nutr.1–23.
58.
go back to reference Santulli G, Pascale V, Finelli R, Visco V, Giannotti R, Massari A et al. We are what we eat: impact of food from short supply chain on metabolic syndrome. J Clin Med. 2019;8(12). Santulli G, Pascale V, Finelli R, Visco V, Giannotti R, Massari A et al. We are what we eat: impact of food from short supply chain on metabolic syndrome. J Clin Med. 2019;8(12).
Metadata
Title
Macronutrients quality indices and risk of metabolic syndrome and its components in Iranian adults
Authors
Hossein Farhadnejad
Ebrahim Mokhtari
Farshad Teymoori
Mitra Kazemi Jahromi
Niloufar Saber
Hamid Ahmadirad
Mostafa Norouzzadeh
Parvin Mirmiran
Fereidoun Azizi
Publication date
01-12-2024
Publisher
BioMed Central
Published in
BMC Cardiovascular Disorders / Issue 1/2024
Electronic ISSN: 1471-2261
DOI
https://doi.org/10.1186/s12872-024-03779-1

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