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For: Deshmukh-Taskar PR, O'Neil CE, Nicklas TA, Yang SJ, Liu Y, Gustat J, Berenson GS. Dietary patterns associated with metabolic syndrome, sociodemographic and lifestyle factors in young adults: the Bogalusa Heart Study. Public Health Nutr. 2009;12:2493-2503. [PMID: 19744354 DOI: 10.1017/s1368980009991261] [Cited by in Crossref: 98] [Cited by in F6Publishing: 49] [Article Influence: 8.2] [Reference Citation Analysis]
Number Citing Articles
1 Gaskins AJ, Colaci DS, Mendiola J, Swan SH, Chavarro JE. Dietary patterns and semen quality in young men. Hum Reprod 2012;27:2899-907. [PMID: 22888168 DOI: 10.1093/humrep/des298] [Cited by in Crossref: 123] [Cited by in F6Publishing: 100] [Article Influence: 13.7] [Reference Citation Analysis]
2 Jaceldo-Siegl K, Haddad E, Oda K, Fraser GE, Sabaté J. Tree nuts are inversely associated with metabolic syndrome and obesity: the Adventist health study-2. PLoS One 2014;9:e85133. [PMID: 24416351 DOI: 10.1371/journal.pone.0085133] [Cited by in Crossref: 27] [Cited by in F6Publishing: 20] [Article Influence: 3.9] [Reference Citation Analysis]
3 Graham DJ, Pelletier JE, Neumark-Sztainer D, Lust K, Laska MN. Perceived social-ecological factors associated with fruit and vegetable purchasing, preparation, and consumption among young adults. J Acad Nutr Diet 2013;113:1366-74. [PMID: 23958116 DOI: 10.1016/j.jand.2013.06.348] [Cited by in Crossref: 30] [Cited by in F6Publishing: 22] [Article Influence: 3.8] [Reference Citation Analysis]
4 Hosseinpour-Niazi S, Bakhshi B, Betru E, Mirmiran P, Darand M, Azizi F. Prospective study of total and various types of vegetables and the risk of metabolic syndrome among children and adolescents. World J Diabetes 2019;10:362-75. [PMID: 31231459 DOI: 10.4239/wjd.v10.i6.362] [Cited by in CrossRef: 5] [Cited by in F6Publishing: 3] [Article Influence: 2.5] [Reference Citation Analysis]
5 Mubiru JN, Garcia-Forey M, Higgins PB, Hemmat P, Cavazos NE, Dick EJ Jr, Owston MA, Bauer CA, Shade RE, Comuzzie AG, Rogers J. A preliminary report on the feeding of cynomolgus monkeys (Macaca fascicularis) with a high-sugar high-fat diet for 33 weeks. J Med Primatol 2011;40:335-41. [PMID: 21812784 DOI: 10.1111/j.1600-0684.2011.00495.x] [Cited by in Crossref: 10] [Cited by in F6Publishing: 6] [Article Influence: 1.0] [Reference Citation Analysis]
6 Woo HD, Shin A, Kim J. Dietary patterns of Korean adults and the prevalence of metabolic syndrome: a cross-sectional study. PLoS One 2014;9:e111593. [PMID: 25365577 DOI: 10.1371/journal.pone.0111593] [Cited by in Crossref: 59] [Cited by in F6Publishing: 41] [Article Influence: 8.4] [Reference Citation Analysis]
7 Higgins PB, Bastarrachea RA, Lopez-Alvarenga JC, Garcia-Forey M, Proffitt JM, Voruganti VS, Tejero ME, Mattern V, Haack K, Shade RE, Cole SA, Comuzzie AG. Eight week exposure to a high sugar high fat diet results in adiposity gain and alterations in metabolic biomarkers in baboons (Papio hamadryas sp.). Cardiovasc Diabetol 2010;9:71. [PMID: 21034486 DOI: 10.1186/1475-2840-9-71] [Cited by in Crossref: 28] [Cited by in F6Publishing: 24] [Article Influence: 2.5] [Reference Citation Analysis]
8 Yasmeen R, Reichert B, Deiuliis J, Yang F, Lynch A, Meyers J, Sharlach M, Shin S, Volz KS, Green KB, Lee K, Alder H, Duester G, Zechner R, Rajagopalan S, Ziouzenkova O. Autocrine function of aldehyde dehydrogenase 1 as a determinant of diet- and sex-specific differences in visceral adiposity. Diabetes 2013;62:124-36. [PMID: 22933113 DOI: 10.2337/db11-1779] [Cited by in Crossref: 39] [Cited by in F6Publishing: 34] [Article Influence: 4.3] [Reference Citation Analysis]
9 Bentley AR, Rotimi CN. Interethnic Variation in Lipid Profiles: Implications for Underidentification of African-Americans at risk for Metabolic Disorders. Expert Rev Endocrinol Metab 2012;7:659-67. [PMID: 28191028 DOI: 10.1586/eem.12.55] [Cited by in Crossref: 12] [Cited by in F6Publishing: 7] [Article Influence: 1.7] [Reference Citation Analysis]
10 Fonseca MJ, Gaio R, Lopes C, Santos AC. Association between dietary patterns and metabolic syndrome in a sample of Portuguese adults. Nutr J 2012;11:64. [PMID: 22943133 DOI: 10.1186/1475-2891-11-64] [Cited by in Crossref: 26] [Cited by in F6Publishing: 24] [Article Influence: 2.9] [Reference Citation Analysis]
11 Grosso G, Marventano S, Galvano F, Pajak A, Mistretta A. Factors associated with metabolic syndrome in a mediterranean population: role of caffeinated beverages. J Epidemiol 2014;24:327-33. [PMID: 24806662 DOI: 10.2188/jea.je20130166] [Cited by in Crossref: 55] [Cited by in F6Publishing: 21] [Article Influence: 7.9] [Reference Citation Analysis]
12 Fortune NC, Harville EW, Guralnik JM, Gustat J, Chen W, Qi L, Bazzano LA. Dietary intake and cognitive function: evidence from the Bogalusa Heart Study. Am J Clin Nutr 2019;109:1656-63. [PMID: 31136655 DOI: 10.1093/ajcn/nqz026] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
13 Perng W, Fernandez C, Peterson KE, Zhang Z, Cantoral A, Sanchez BN, Solano-González M, Téllez-Rojo MM, Baylin A. Dietary Patterns Exhibit Sex-Specific Associations with Adiposity and Metabolic Risk in a Cross-Sectional Study in Urban Mexican Adolescents. J Nutr 2017;147:1977-85. [PMID: 28855420 DOI: 10.3945/jn.117.256669] [Cited by in Crossref: 17] [Cited by in F6Publishing: 13] [Article Influence: 4.3] [Reference Citation Analysis]
14 Jezewska-Zychowicz M, Gębski J, Guzek D, Świątkowska M, Stangierska D, Plichta M, Wasilewska M. The Associations between Dietary Patterns and Sedentary Behaviors in Polish Adults (LifeStyle Study). Nutrients 2018;10:E1004. [PMID: 30071656 DOI: 10.3390/nu10081004] [Cited by in Crossref: 16] [Cited by in F6Publishing: 15] [Article Influence: 5.3] [Reference Citation Analysis]
15 El Bilbeisi AH, Hosseini S, Djafarian K. Dietary Patterns and Metabolic Syndrome among Type 2 Diabetes Patients in Gaza Strip, Palestine. Ethiop J Health Sci 2017;27:227-38. [PMID: 29217921 DOI: 10.4314/ejhs.v27i3.4] [Cited by in Crossref: 6] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
16 Kimokoti RW, Gona P, Zhu L, Newby PK, Millen BE, Brown LS, D'Agostino RB, Fung TT. Dietary patterns of women are associated with incident abdominal obesity but not metabolic syndrome. J Nutr 2012;142:1720-7. [PMID: 22833658 DOI: 10.3945/jn.112.162479] [Cited by in Crossref: 16] [Cited by in F6Publishing: 12] [Article Influence: 1.8] [Reference Citation Analysis]
17 Sampey BP, Freemerman AJ, Zhang J, Kuan PF, Galanko JA, O’Connell TM, Ilkayeva OR, Muehlbauer MJ, Stevens RD, Newgard CB. Metabolomic profiling reveals mitochondrial-derived lipid biomarkers that drive obesity-associated inflammation. PLoS One. 2012;7:e38812. [PMID: 22701716 DOI: 10.1371/journal.pone.0038812] [Cited by in Crossref: 87] [Cited by in F6Publishing: 79] [Article Influence: 9.7] [Reference Citation Analysis]
18 Lonnie M, Wadolowska L, Bandurska-Stankiewicz E. Dietary-Lifestyle Patterns Associated with Adiposity and Metabolic Abnormalities in Adult Men under 40 Years Old: A Cross-Sectional Study (MeDiSH Project). Nutrients 2020;12:E751. [PMID: 32178303 DOI: 10.3390/nu12030751] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
19 Hermsdorff HH, Zulet MA, Puchau B, Martínez JA. Fruit and vegetable consumption and proinflammatory gene expression from peripheral blood mononuclear cells in young adults: a translational study. Nutr Metab (Lond) 2010;7:42. [PMID: 20465828 DOI: 10.1186/1743-7075-7-42] [Cited by in Crossref: 77] [Cited by in F6Publishing: 67] [Article Influence: 7.0] [Reference Citation Analysis]
20 Akter S, Nanri A, Pham NM, Kurotani K, Mizoue T. Dietary patterns and metabolic syndrome in a Japanese working population. Nutr Metab (Lond) 2013;10:30. [PMID: 23537319 DOI: 10.1186/1743-7075-10-30] [Cited by in Crossref: 43] [Cited by in F6Publishing: 27] [Article Influence: 5.4] [Reference Citation Analysis]
21 Bahari T, Uemura H, Katsuura-Kamano S, Yamaguchi M, Nakamoto M, Miki K, Ishizu M, Arisawa K. Nutrient-Derived Dietary Patterns and Their Association With Metabolic Syndrome in a Japanese Population. J Epidemiol 2018;28:194-201. [PMID: 29151477 DOI: 10.2188/jea.JE20170010] [Cited by in Crossref: 5] [Cited by in F6Publishing: 2] [Article Influence: 1.3] [Reference Citation Analysis]
22 Vorn R, Yoo HY. Differential effects of saturated and unsaturated fatty acids on vascular reactivity in isolated mesenteric and femoral arteries of rats. Korean J Physiol Pharmacol 2019;23:403-9. [PMID: 31496877 DOI: 10.4196/kjpp.2019.23.5.403] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
23 Zhang T, Whelton PK, Xi B, Krousel-Wood M, Bazzano L, He J, Chen W, Li S. Rate of change in body mass index at different ages during childhood and adult obesity risk. Pediatr Obes 2019;14:e12513. [PMID: 30702812 DOI: 10.1111/ijpo.12513] [Cited by in Crossref: 12] [Cited by in F6Publishing: 11] [Article Influence: 6.0] [Reference Citation Analysis]
24 Shank LM, Tanofsky-Kraff M, Radin RM, Shomaker LB, Wilfley DE, Young JF, Brady S, Olsen CH, Reynolds JC, Yanovski JA. Remission of loss of control eating and changes in components of the metabolic syndrome. Int J Eat Disord 2018;51:565-73. [PMID: 29607525 DOI: 10.1002/eat.22866] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.7] [Reference Citation Analysis]
25 Rogers J, Urbina SL, Taylor LW, Wilborn CD, Purpura M, Jäger R, Juturu V. Capsaicinoids supplementation decreases percent body fat and fat mass: adjustment using covariates in a post hoc analysis. BMC Obes 2018;5:22. [PMID: 30123516 DOI: 10.1186/s40608-018-0197-1] [Cited by in Crossref: 9] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
26 Mirmiran P, Aghayan M, Bakhshi B, Hosseinpour-Niazi S, Azizi F. Socioeconomic status and lifestyle factors modifies the association between snack foods intake and incidence of metabolic syndrome. Nutr J 2021;20:70. [PMID: 34294103 DOI: 10.1186/s12937-021-00728-y] [Reference Citation Analysis]
27 Tran NL, Barraj LM, Heilman JM, Scrafford CG. Egg consumption and cardiovascular disease among diabetic individuals: a systematic review of the literature. Diabetes Metab Syndr Obes 2014;7:121-37. [PMID: 24711708 DOI: 10.2147/DMSO.S58668] [Cited by in Crossref: 26] [Cited by in F6Publishing: 13] [Article Influence: 3.7] [Reference Citation Analysis]
28 Wang H, Qu M, Yang P, Yang B, Deng F. Dietary patterns and cardio-cerebrovascular disease in a Chinese population. Nutr Res Pract 2015;9:313-8. [PMID: 26060544 DOI: 10.4162/nrp.2015.9.3.313] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.3] [Reference Citation Analysis]
29 Moubarac JC, Parra DC, Cannon G, Monteiro CA. Food Classification Systems Based on Food Processing: Significance and Implications for Policies and Actions: A Systematic Literature Review and Assessment. Curr Obes Rep 2014;3:256-72. [PMID: 26626606 DOI: 10.1007/s13679-014-0092-0] [Cited by in Crossref: 175] [Cited by in F6Publishing: 136] [Article Influence: 35.0] [Reference Citation Analysis]
30 Osadnik K, Osadnik T, Lonnie M, Lejawa M, Reguła R, Fronczek M, Gawlita M, Wądołowska L, Gąsior M, Pawlas N. Metabolically healthy obese and metabolic syndrome of the lean: the importance of diet quality. Analysis of MAGNETIC cohort. Nutr J 2020;19:19. [PMID: 32098622 DOI: 10.1186/s12937-020-00532-0] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 6.0] [Reference Citation Analysis]
31 Cifani C, Avagliano C, Micioni Di Bonaventura E, Giusepponi ME, De Caro C, Cristiano C, La Rana G, Botticelli L, Romano A, Calignano A, Gaetani S, Micioni Di Bonaventura MV, Russo R. Modulation of Pain Sensitivity by Chronic Consumption of Highly Palatable Food Followed by Abstinence: Emerging Role of Fatty Acid Amide Hydrolase. Front Pharmacol 2020;11:266. [PMID: 32231568 DOI: 10.3389/fphar.2020.00266] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
32 Suliga E, Kozieł D, Cieśla E, Głuszek S. Association between dietary patterns and metabolic syndrome in individuals with normal weight: a cross-sectional study. Nutr J 2015;14:55. [PMID: 26025375 DOI: 10.1186/s12937-015-0045-9] [Cited by in Crossref: 35] [Cited by in F6Publishing: 30] [Article Influence: 5.8] [Reference Citation Analysis]
33 O'Neil CE, Keast DR, Fulgoni VL, Nicklas TA. Food sources of energy and nutrients among adults in the US: NHANES 2003–2006. Nutrients 2012;4:2097-120. [PMID: 23363999 DOI: 10.3390/nu4122097] [Cited by in Crossref: 139] [Cited by in F6Publishing: 108] [Article Influence: 15.4] [Reference Citation Analysis]
34 Iannotti RJ, Wang J. Patterns of physical activity, sedentary behavior, and diet in U.S. adolescents. J Adolesc Health 2013;53:280-6. [PMID: 23642973 DOI: 10.1016/j.jadohealth.2013.03.007] [Cited by in Crossref: 63] [Cited by in F6Publishing: 40] [Article Influence: 7.9] [Reference Citation Analysis]
35 Das M, Pal S, Ghosh A. Factor analysis of risk variables associated with metabolic syndrome in adult Asian Indians. J Cardiovasc Dis Res 2010;1:86-91. [PMID: 20877692 DOI: 10.4103/0975-3583.64442] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 0.5] [Reference Citation Analysis]
36 Mommersteeg PM, Kupper N, Denollet J. Type D personality is associated with increased metabolic syndrome prevalence and an unhealthy lifestyle in a cross-sectional Dutch community sample. BMC Public Health 2010;10:714. [PMID: 21092104 DOI: 10.1186/1471-2458-10-714] [Cited by in Crossref: 60] [Cited by in F6Publishing: 46] [Article Influence: 5.5] [Reference Citation Analysis]
37 Smith LH, Laurent D, Baumker E, Petosa RL. Rates of Obesity and Obesogenic Behaviors of Rural Appalachian Adolescents: How Do They Compare to Other Adolescents or Recommendations? J Phys Act Health 2018;15:874-81. [PMID: 30318984 DOI: 10.1123/jpah.2017-0602] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 1.7] [Reference Citation Analysis]
38 McCormack L, Wey H, Meendering J, Specker B. Differences in Physical Activity and Diet Patterns between Non-Rural and Rural Adults. Nutrients 2018;10:E1601. [PMID: 30388741 DOI: 10.3390/nu10111601] [Cited by in Crossref: 5] [Cited by in F6Publishing: 2] [Article Influence: 1.7] [Reference Citation Analysis]
39 Dibaba DT, Xun P, Fly AD, Yokota K, He K. Dietary magnesium intake and risk of metabolic syndrome: a meta-analysis. Diabet Med 2014;31:1301-9. [PMID: 24975384 DOI: 10.1111/dme.12537] [Cited by in Crossref: 37] [Cited by in F6Publishing: 28] [Article Influence: 6.2] [Reference Citation Analysis]
40 Liu J, Hickson DA, Musani SK, Talegawkar SA, Carithers TC, Tucker KL, Fox CS, Taylor HA. Dietary patterns, abdominal visceral adipose tissue, and cardiometabolic risk factors in African Americans: the Jackson heart study. Obesity (Silver Spring) 2013;21:644-51. [PMID: 23592674 DOI: 10.1002/oby.20265] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
41 Rodríguez-Monforte M, Sánchez E, Barrio F, Costa B, Flores-Mateo G. Metabolic syndrome and dietary patterns: a systematic review and meta-analysis of observational studies. Eur J Nutr 2017;56:925-47. [PMID: 27605002 DOI: 10.1007/s00394-016-1305-y] [Cited by in Crossref: 89] [Cited by in F6Publishing: 75] [Article Influence: 17.8] [Reference Citation Analysis]
42 Iwasaki Y, Arisawa K, Katsuura-Kamano S, Uemura H, Tsukamoto M, Kadomatsu Y, Okada R, Hishida A, Tanaka K, Hara M, Takezaki T, Shimatani K, Ozaki E, Koyama T, Suzuki S, Nakagawa-Senda H, Kuriki K, Miyagawa N, Kadota A, Ikezaki H, Furusyo N, Oze I, Ito H, Mikami H, Nakamura Y, Wakai K. Associations of Nutrient Patterns with the Prevalence of Metabolic Syndrome: Results from the Baseline Data of the Japan Multi-Institutional Collaborative Cohort Study. Nutrients 2019;11:E990. [PMID: 31052301 DOI: 10.3390/nu11050990] [Cited by in Crossref: 11] [Cited by in F6Publishing: 9] [Article Influence: 5.5] [Reference Citation Analysis]
43 Betancourt-Nuñez A, Márquez-Sandoval F, González-Zapata LI, Babio N, Vizmanos B. Unhealthy dietary patterns among healthcare professionals and students in Mexico. BMC Public Health 2018;18:1246. [PMID: 30413146 DOI: 10.1186/s12889-018-6153-7] [Cited by in Crossref: 16] [Cited by in F6Publishing: 8] [Article Influence: 5.3] [Reference Citation Analysis]
44 Fanelli Kuczmarski M, Mason MA, Beydoun MA, Allegro D, Zonderman AB, Evans MK. Dietary patterns and sarcopenia in an urban African American and White population in the United States. J Nutr Gerontol Geriatr 2013;32:291-316. [PMID: 24224938 DOI: 10.1080/21551197.2013.840255] [Cited by in Crossref: 29] [Cited by in F6Publishing: 19] [Article Influence: 4.1] [Reference Citation Analysis]
45 Abdullah NF, Teo PS, Foo LH. Ethnic Differences in the Food Intake Patterns and Its Associated Factors of Adolescents in Kelantan, Malaysia. Nutrients 2016;8:E551. [PMID: 27626444 DOI: 10.3390/nu8090551] [Cited by in Crossref: 20] [Cited by in F6Publishing: 13] [Article Influence: 4.0] [Reference Citation Analysis]
46 Wang H, Deng F, Qu M, Yang P, Yang B. Association between Dietary Patterns and Chronic Diseases among Chinese Adults in Baoji. Int J Chronic Dis 2014;2014:548269. [PMID: 26464858 DOI: 10.1155/2014/548269] [Cited by in Crossref: 1] [Cited by in F6Publishing: 3] [Article Influence: 0.1] [Reference Citation Analysis]
47 Gregório MJ, Rodrigues AM, Eusébio M, Sousa RD, Dias S, André B, Grønning K, Coelho PS, Mendes JM, Graça P, Espnes GA, Branco JC, Canhão H. Dietary Patterns Characterized by High Meat Consumption Are Associated with Other Unhealthy Life Styles and Depression Symptoms. Front Nutr 2017;4:25. [PMID: 28660194 DOI: 10.3389/fnut.2017.00025] [Cited by in Crossref: 22] [Cited by in F6Publishing: 19] [Article Influence: 5.5] [Reference Citation Analysis]
48 Takami H, Nakamoto M, Uemura H, Katsuura S, Yamaguchi M, Hiyoshi M, Sawachika F, Juta T, Arisawa K. Inverse correlation between coffee consumption and prevalence of metabolic syndrome: baseline survey of the Japan Multi-Institutional Collaborative Cohort (J-MICC) Study in Tokushima, Japan. J Epidemiol. 2013;23:12-20. [PMID: 23047663 DOI: 10.2188/jea.je20120053] [Cited by in Crossref: 71] [Cited by in F6Publishing: 29] [Article Influence: 7.9] [Reference Citation Analysis]
49 Giménez-Legarre N, Miguel-Berges ML, Flores-Barrantes P, Santaliestra-Pasías AM, Moreno LA. Breakfast Characteristics and Its Association with Daily Micronutrients Intake in Children and Adolescents-A Systematic Review and Meta-Analysis. Nutrients 2020;12:E3201. [PMID: 33092061 DOI: 10.3390/nu12103201] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]