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Current Nutrition & Food Science

Editor-in-Chief

ISSN (Print): 1573-4013
ISSN (Online): 2212-3881

Research Article

A Survey of the Relationship Between Dietary Quality and Metabolic Syndrome

In Press, (this is not the final "Version of Record"). Available online 13 May, 2024
Author(s): Alireza Mohtashami*
Published on: 13 May, 2024

DOI: 10.2174/0115734013293659240430164357

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Abstract

Background: Dietary intake is increasingly recognized as a pivotal factor in the etiology of metabolic syndrome. A substantial body of evidence suggests a discernible correlation between dietary quality indices and the occurrence of metabolic syndrome.

Objective: This survey seeks to rigorously evaluate the impact of diet quality indices and demographic variables on the manifestation of metabolic syndrome.

Materials and Methods: This case-control study encompassed 175 individuals diagnosed with metabolic syndrome and an equal number of age-matched healthy counterparts (Comprising both genderS) aged between 20 and 65 years. Participants were sourced from diverse laboratories and the general population in Chalous, northern Iran. Dietary intake data were meticulously acquired using a comprehensive Food Frequency Questionnaire (FFQ). Furthermore, dietary quality indices, specifically the Healthy Eating Index (HEI), Dietary Diversity Score (DDS), Nutrient Adequacy Ratio (NAR), and Mean Adequacy Ratio (MAR), were meticulously evaluated employing standardized methodologies.

Results: There was no significant diversity in the likelihood of developing metabolic syndrome concerning the Healthy Eating Index (HEI), Nutrient Adequacy Ratio (NAR), and Mean Adequacy Ratio (MAR) when comparing quartile 4 (Maximum scorE) to quartile 1 (Minimum scorE). However, this likelihood diminished following adjustments for confounding variables, including age, sex, dietary energy, education, job, and marital status. In the case of the Dietary Diversity Score (DDS), there was an observed difference in morbidity likelihood between quartile 4 and quartile 1. Nevertheless, after meticulous adjustment for confounding variables, this difference failed to reach statistical significance. No substantial variations (P ≥ 0.05) were detected in the odds ratio across quartiles and models (P trenD) for all dietary quality indices.

Conclusion: No significant associations were identified between dietary quality indices and the occurrence of metabolic syndrome.

[1]
Olufadi, R.; Byrne, C.D. Clinical and laboratory diagnosis of the metabolic syndrome. J. Clin. Pathol., 2007, 61(6), 697-706.
[http://dx.doi.org/10.1136/jcp.2007.048363] [PMID: 18505888]
[2]
Reaven, G.M. Banting lecture 1988. Role of insulin resistance in human disease. Diabetes, 1988, 37(12), 1595-1607.
[http://dx.doi.org/10.2337/diab.37.12.1595] [PMID: 3056758]
[3]
Grundy, S.M.; Cleeman, J.I.; Daniels, S.R.; Donato, K.A.; Eckel, R.H.; Franklin, B.A.; Gordon, D.J.; Krauss, R.M.; Savage, P.J.; Smith, S.C., Jr; Spertus, J.A.; Costa, F. Diagnosis and management of the metabolic syndrome. Circulation, 2005, 112(17), 2735-2752.
[http://dx.doi.org/10.1161/CIRCULATIONAHA.105.169404] [PMID: 16157765]
[4]
Gami, A.S.; Witt, B.J.; Howard, D.E.; Erwin, P.J.; Gami, L.A.; Somers, V.K.; Montori, V.M. Metabolic syndrome and risk of incident cardiovascular events and death: A systematic review and meta-analysis of longitudinal studies. J. Am. Coll. Cardiol., 2007, 49(4), 403-414.
[http://dx.doi.org/10.1016/j.jacc.2006.09.032] [PMID: 17258085]
[5]
Hanley, AJ; Karter, AJ; Williams, K; Festa, A; D’Agostino, RB, Jr; Wagenknecht, LE Prediction of type 2 diabetes mellitus with al- Circulation. 2005, 112(24), 3713-3721.
[6]
Giovannucci, E. Metabolic syndrome, hyperinsulinemia, and colon cancer: A review. Am. J. Clin. Nutr., 2007, 86(3), 836S-842S.
[http://dx.doi.org/10.1093/ajcn/86.3.836S] [PMID: 18265477]
[7]
Zabetian, A.; Hadaegh, F.; Azizi, F. Prevalence of metabolic syndrome in Iranian adult concordance between the IDF with the AT. Diabetes Res. Clin. Pract., 2007, 77(2), 251.
[http://dx.doi.org/10.1016/j.diabres.2006.12.001] [PMID: 17234299]
[8]
Sharifi, F; Mosavinasab, S; Saeini, M; Dinmohammadi, M Prevalence of metabolic syndrome in an adult urban population of the west of Iran. Exp Diabetes Res., 2009, 2009, 136501.
[9]
Karimi, F.; Jahandideh, D.; Dabbaghmanesh, M.H.; Fattahi, M.R.; Omrani, R.G.H. The prevalence of metabolic syndrome and its components among adults in a rural community, Fars, Iran. 2015. Int. Cardiovasc. Res. J., 2015, 9(2), 94-99.
[10]
Maleki, F.; Sayehmiri, F.; Kiani, F.; Sayehmiri, K.; Nasiri, S. Metabolic syndrome prevalence in Iran: A systematic review and meta-analysis. Majallah-i Danishgah-i Ulum-i Pizishki-i Kirmanshah, 2014, 18(4), 242-250.
[11]
Vimaleswaran, K.S.; Radha, V.; Mohan, V. Thr54 allele carriers of the Ala54Thr variant of FABP2 gene have associations with metabolic syndrome and hypertriglyceridemia in urban South Indians. Metabolism, 2006, 55(9), 1222-1226.
[http://dx.doi.org/10.1016/j.metabol.2006.05.006] [PMID: 16919542]
[12]
Mohan, V.; Gokulakrishnan, K.; Deepa, R.; Shanthirani, C.S.; Datta, M. Association of physical inactivity with components of metabolic syndrome and coronary artery disease—the Chennai Urban Population Study (CUPS no. 15). Diabet. Med., 2005, 22(9), 1206-1211.
[http://dx.doi.org/10.1111/j.1464-5491.2005.01616.x] [PMID: 16108850]
[13]
Eshak, E.S.; Iso, H.; Date, C.; Kikuchi, S.; Watanabe, Y.; Wada, Y.; Wakai, K.; Tamakoshi, A. Dietary fiber intake is associated with reduced risk of mortality from cardiovascular disease among Japanese men and women. J. Nutr., 2010, 140(8), 1445-1453.
[http://dx.doi.org/10.3945/jn.110.122358] [PMID: 20573945]
[14]
Esmaillzadeh, A.; Kimiagar, M.; Mehrabi, Y.; Azadbakht, L.; Hu, F.B.; Willett, W.C. Fruit and vegetable intakes, C-reactive protein, and the metabolic syndrome. Am. J. Clin. Nutr., 2006, 84(6), 1489-1497.
[http://dx.doi.org/10.1093/ajcn/84.6.1489] [PMID: 17158434]
[15]
Azadbakht, L.; Mirmiran, P.; Esmaillzadeh, A.; Azizi, F. Dairy consumption is inversely associated with the prevalence of the metabolic syndrome in Tehranian adults. Am. J. Clin. Nutr., 2005, 82(3), 523-530.
[http://dx.doi.org/10.1093/ajcn/82.3.523] [PMID: 16155263]
[16]
Arvaniti, F.; Panagiotakos, D.B. Healthy indexes in public health practice and research: A review. Crit. Rev. Food Sci. Nutr., 2008, 48(4), 317-327.
[http://dx.doi.org/10.1080/10408390701326268] [PMID: 18409114]
[17]
Fransen, H.P.; Ocké, M.C. Indices of diet quality. Curr. Opin. Clin. Nutr. Metab. Care, 2008, 11(5), 559-565.
[http://dx.doi.org/10.1097/MCO.0b013e32830a49db] [PMID: 18685450]
[18]
Kani, H.A.; Alavian, S.M.; Esmaillzadeh, A.; Adibi, P.; Azadbakht, L. Dietary quality indices and biochemical parameters among patients with non alcoholic fatty liver disease (NAFLD). Hepat. Mon., 2013, 13(7), e10943.
[http://dx.doi.org/10.5812/hepatmon.10943] [PMID: 24065998]
[19]
Huffman, F.G.; Zarini, G.G.; Mcnamara, E.; Nagarajan, A. The healthy eating index and the alternate healthy eating index as predictors of 10-year CHD risk in cuban Americans with and without type 2 diabetes. Public Health Nutr., 2011, 14(11), 2006-2014.
[http://dx.doi.org/10.1017/S1368980011001054] [PMID: 21729463]
[20]
de Almeida Ventura, D.; de Matos Fonseca, V.; Ramos, E.G.; Marinheiro, L.P.F.; de Souza, R.A.G.; de Chaves, M.C.R.M.; Peixoto, M.V.M. Association between quality of the diet and cardiometabolic risk factors in postmenopausal women. Nutr. J., 2014, 13(1), 121-130.
[http://dx.doi.org/10.1186/1475-2891-13-121] [PMID: 25529573]
[21]
Azadbakht, L.; Mirmiran, P.; Esmaillzadeh, A.; Azizi, F. Dietary diversity score and cardiovascular risk factors in Tehranian adults. Public Health Nutr., 2006, 9(6), 728-736.
[http://dx.doi.org/10.1079/PHN2005887] [PMID: 16925878]
[22]
Azadbakht, L.; Mirmiran, P.; Azizi, F. Dietary diversity score is favorably associated with the metabolic syndrome in Tehranian adults. Int. J. Obes., 2005, 29(11), 1361-1367.
[http://dx.doi.org/10.1038/sj.ijo.0803029] [PMID: 16116493]
[23]
Drewnowski, A.; Fiddler, E.C.; Dauchet, L.; Galan, P.; Hercberg, S. Diet quality measures and cardiovascular risk factors in France: Applying the Healthy Eating Index to the SU.VI.MAX study. J. Am. Coll. Nutr., 2009, 28(1), 22-29.
[http://dx.doi.org/10.1080/07315724.2009.10719757] [PMID: 19571156]
[24]
McCullough, M.L.; Feskanich, D.; Stampfer, M.J.; Rosner, B.A.; Hu, F.B.; Hunter, D.J.; Variyam, J.N.; Colditz, G.A.; Willett, W.C. Adherence to the dietary guidelines for Americans and risk of major chronic disease in women. Am. J. Clin. Nutr., 2000, 72(5), 1214-1222.
[http://dx.doi.org/10.1093/ajcn/72.5.1214] [PMID: 11063452]
[25]
McCullough, M.L.; Feskanich, D.; Stampfer, M.J.; Giovannucci, E.L.; Rimm, E.B.; Hu, F.B.; Spiegelman, D.; Hunter, D.J.; Colditz, G.A.; Willett, W.C. Diet quality and major chronic disease risk in men and women: Moving toward improved dietary guidance. Am. J. Clin. Nutr., 2002, 76(6), 1261-1271.
[http://dx.doi.org/10.1093/ajcn/76.6.1261] [PMID: 12450892]
[26]
Entezari, MH; Mohtashami, A. Relationship between healthy eating index and metabolic syndrome. Trend Med Res., 2022, 17(1), 15-21.
[27]
Esmaillzadeh, A.; Mirmiran, P.; Azizi, F. Whole-grain intake and the prevalence of hypertriglyceridemic waist phenotype in Tehranian adults1–3. Am. J. Clin. Nutr., 2005, 81(1), 55-63.
[http://dx.doi.org/10.1093/ajcn/81.1.55] [PMID: 15640460]
[28]
Kant, A.K.; Block, G.; Schatzkin, A.; Ziegler, R.G.; Nestle, M. Dietary diversity in the US population, NHANES II, 1976-1980. J. Am. Diet. Assoc., 1991, 91(12), 1526-1531.
[http://dx.doi.org/10.1016/S0002-8223(21)01428-0] [PMID: 1960344]
[29]
Kant, A.K.; Schatzkin, A.; Ziegler, R.G. Dietary diversity and subsequent cause-specific mortality in the NHANES I epidemiologic follow-up study. J. Am. Coll. Nutr., 1995, 14(3), 233-238.
[http://dx.doi.org/10.1080/07315724.1995.10718501] [PMID: 8586771]
[30]
Mahan, L.K.; Stump, S.E.; Raymond, G. Krause’s food and the nutrition care process, 13th ed; Elsevier, 2012.
[31]
Azadbakht, L.; Mirmiran, P.; Esmaillzadeh, A.; Azizi, T.; Azizi, F. Beneficial effects of a dietary approaches to stop hypertension eating plan on features of the metabolic syndrome. Diabetes Care, 2005, 28(12), 2823-2831.
[http://dx.doi.org/10.2337/diacare.28.12.2823] [PMID: 16306540]
[32]
Hosseinpour-Niazi, S.; Mirmiran, P.; Sohrab, G.; Esfahani, H.F.; Azizi, F. Inverse association between fruit, legume, and cereal fiber and the risk of metabolic syndrome: Tehran Lipid and Glucose Study. Diabetes Res. Clin. Pract., 2011, 94(2), 276-283.
[http://dx.doi.org/10.1016/j.diabres.2011.07.020] [PMID: 21856031]
[33]
Tardivo, A.P.; Nahas-Neto, J.; Nahas, E.A.P.; Maesta, N.; Rodrigues, M.A.H.; Orsatti, F.L. Associations between healthy eating patterns and indicators of metabolic risk in postmenopausal women. Nutr. J., 2010, 9(1), 64-73.
[http://dx.doi.org/10.1186/1475-2891-9-64] [PMID: 21143838]
[34]
Wood, F.A.C.; Kim, J.; Davis, J.S.; Jung, S.Y.; Chang, S. In cross-sectional observations, dietary quality is not associated with CVD risk in women; in men the positive association is accounted for by BMI. Br. J. Nutr., 2015, 113(8), 1244-1253.
[http://dx.doi.org/10.1017/S0007114515000185] [PMID: 25812570]
[35]
McCullough, M.L.; Feskanich, D.; Rimm, E.B.; Giovannucci, E.L.; Ascherio, A.; Variyam, J.N.; Spiegelman, D.; Stampfer, M.J.; Willett, W.C. Adherence to the dietary guidelines for Americans and risk of major chronic disease in men. Am. J. Clin. Nutr., 2000, 72(5), 1223-1231.
[http://dx.doi.org/10.1093/ajcn/72.5.1223] [PMID: 11063453]

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