BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Ambrosini GL, Huang RC, Mori TA, Hands BP, O'Sullivan TA, de Klerk NH, Beilin LJ, Oddy WH. Dietary patterns and markers for the metabolic syndrome in Australian adolescents. Nutr Metab Cardiovasc Dis. 2010;20:274-283. [PMID: 19748245 DOI: 10.1016/j.numecd.2009.03.024] [Cited by in Crossref: 105] [Cited by in F6Publishing: 76] [Article Influence: 8.8] [Reference Citation Analysis]
Number Citing Articles
1 Ochoa-Avilés A, Verstraeten R, Lachat C, Andrade S, Van Camp J, Donoso S, Kolsteren P. Dietary intake practices associated with cardiovascular risk in urban and rural Ecuadorian adolescents: a cross-sectional study. BMC Public Health 2014;14:939. [PMID: 25205169 DOI: 10.1186/1471-2458-14-939] [Cited by in Crossref: 27] [Cited by in F6Publishing: 21] [Article Influence: 3.9] [Reference Citation Analysis]
2 Melo AS, Neves FS, Batista AP, Machado-Coelho GLL, Sartorelli DS, de Faria ER, Netto MP, Oliveira RM, Fontes VS, Cândido APC. Percentage of energy contribution according to the degree of industrial food processing and associated factors in adolescents (EVA-JF study, Brazil). Public Health Nutr 2021;24:4220-9. [PMID: 33436138 DOI: 10.1017/S1368980021000100] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Medina-Remón A, Kirwan R, Lamuela-Raventós RM, Estruch R. Dietary patterns and the risk of obesity, type 2 diabetes mellitus, cardiovascular diseases, asthma, and neurodegenerative diseases. Crit Rev Food Sci Nutr 2018;58:262-96. [PMID: 27127938 DOI: 10.1080/10408398.2016.1158690] [Cited by in Crossref: 92] [Cited by in F6Publishing: 59] [Article Influence: 23.0] [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 Heshmat R, Hemati Z, Qorbani M, Nabizadeh Asl L, Motlagh ME, Ziaodini H, Taheri M, Ahadi Z, Shafiee G, Aminaei T, Hatami H, Kelishadi R. Metabolic syndrome and associated factors in Iranian children and adolescents: the CASPIAN-V study. J Cardiovasc Thorac Res 2018;10:214-20. [PMID: 30680080 DOI: 10.15171/jcvtr.2018.37] [Cited by in Crossref: 7] [Cited by in F6Publishing: 6] [Article Influence: 2.3] [Reference Citation Analysis]
6 Sesé MA, Jiménez-Pavón D, Gilbert CC, González-Gross M, Gottrand F, de Henauw S, Breidenassel C, Wärnberg J, Widhalm K, Molnar D, Manios Y, Cuenca-García M, Kafatos A, Moreno LA; HELENA Study Group. Eating behaviour, insulin resistance and cluster of metabolic risk factors in European adolescents. The HELENA study. Appetite 2012;59:140-7. [PMID: 22524997 DOI: 10.1016/j.appet.2012.04.011] [Cited by in Crossref: 20] [Cited by in F6Publishing: 16] [Article Influence: 2.2] [Reference Citation Analysis]
7 Rodrigues PR, Pereira RA, Cunha DB, Sichieri R, Ferreira MG, Vilela AA, Gonçalves-Silva RM. Factors associated with dietary patterns in adolescents: a school-based study in Cuiabá, Mato Grosso. Rev Bras Epidemiol 2012;15:662-74. [PMID: 23090312 DOI: 10.1590/s1415-790x2012000300019] [Cited by in Crossref: 29] [Cited by in F6Publishing: 9] [Article Influence: 3.6] [Reference Citation Analysis]
8 Asghari G, Yuzbashian E, Mirmiran P, Bahadoran Z, Azizi F. Prediction of metabolic syndrome by a high intake of energy-dense nutrient-poor snacks in Iranian children and adolescents. Pediatr Res 2016;79:697-704. [DOI: 10.1038/pr.2015.270] [Cited by in Crossref: 8] [Cited by in F6Publishing: 6] [Article Influence: 1.3] [Reference Citation Analysis]
9 Blondin SA, AlSukait R, Bleiweiss-Sande R, Economos CD, Tanskey LA, Goldberg JP. Processed and Packed: How Refined Are the Foods That Children Bring to School for Snack and Lunch? J Acad Nutr Diet 2021;121:883-94. [PMID: 33023852 DOI: 10.1016/j.jand.2020.07.017] [Reference Citation Analysis]
10 Kafyra M, Kalafati IP, Kumar S, Kontoe MS, Masson C, Siest S, Dedoussis GV. Dietary Patterns, Blood Pressure and the Glycemic and Lipidemic Profile of Two Teenage, European Populations. Nutrients 2021;13:198. [PMID: 33435217 DOI: 10.3390/nu13010198] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
11 Gajos JM, Beaver KM. The effect of omega-3 fatty acids on aggression: A meta-analysis. Neuroscience & Biobehavioral Reviews 2016;69:147-58. [DOI: 10.1016/j.neubiorev.2016.07.017] [Cited by in Crossref: 38] [Cited by in F6Publishing: 24] [Article Influence: 7.6] [Reference Citation Analysis]
12 Farhangi MA, Nikniaz L, Nikniaz Z, Dehghan P. Dietary inflammatory index potentially increases blood pressure and markers of glucose homeostasis among adults: findings from an updated systematic review and meta-analysis. Public Health Nutr 2020;23:1362-80. [DOI: 10.1017/s1368980019003070] [Cited by in Crossref: 7] [Cited by in F6Publishing: 2] [Article Influence: 3.5] [Reference Citation Analysis]
13 Arruda Neta AC, Farias Junior JC, Lima Ferreira FE, Marchioni DM. Prospective association between dietary patterns and BMI Z-score in Brazilian adolescents. Public Health Nutr 2021;24:4230-7. [PMID: 33472719 DOI: 10.1017/S1368980021000252] [Reference Citation Analysis]
14 Ritter JDA, Cureau FV, Ronca DB, Blume CA, Teló GH, Camey SA, de Carvalho KMB, Schaan BD. Association between diet quality index and cardiometabolic risk factors in adolescents: Study of Cardiovascular Risks in Adolescents (ERICA). Nutrition 2021;90:111216. [PMID: 33934056 DOI: 10.1016/j.nut.2021.111216] [Reference Citation Analysis]
15 Wei ZY, Liu JJ, Zhan XM, Feng HM, Zhang YY. Dietary patterns and the risk of metabolic syndrome in Chinese adults: a population-based cross-sectional study. Public Health Nutr 2018;21:2409-16. [PMID: 29717687 DOI: 10.1017/S1368980018001088] [Cited by in Crossref: 9] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
16 Chan She Ping-delfos WL, Beilin LJ, Oddy WH, Burrows S, Mori TA. Use of the Dietary Guideline Index to assess cardiometabolic risk in adolescents. Br J Nutr 2015;113:1741-52. [DOI: 10.1017/s0007114515001026] [Cited by in Crossref: 11] [Cited by in F6Publishing: 3] [Article Influence: 1.8] [Reference Citation Analysis]
17 Appannah G, Pot GK, Huang RC, Oddy WH, Beilin LJ, Mori TA, Jebb SA, Ambrosini GL. Identification of a dietary pattern associated with greater cardiometabolic risk in adolescence. Nutr Metab Cardiovasc Dis 2015;25:643-50. [PMID: 26026208 DOI: 10.1016/j.numecd.2015.04.007] [Cited by in Crossref: 38] [Cited by in F6Publishing: 30] [Article Influence: 6.3] [Reference Citation Analysis]
18 Juna CF, Cho Y, Ham D, Joung H. Association of Carbohydrate and Fat Intake with Prevalence of Metabolic Syndrome Can Be Modified by Physical Activity and Physical Environment in Ecuadorian Adults: The ENSANUT-ECU Study. Nutrients 2021;13:1834. [PMID: 34072138 DOI: 10.3390/nu13061834] [Reference Citation Analysis]
19 Abbasalizad Farhangi M, Nikniaz L, Nikniaz Z. Higher dietary acid load potentially increases serum triglyceride and obesity prevalence in adults: An updated systematic review and meta-analysis. PLoS One 2019;14:e0216547. [PMID: 31071141 DOI: 10.1371/journal.pone.0216547] [Cited by in Crossref: 10] [Cited by in F6Publishing: 9] [Article Influence: 5.0] [Reference Citation Analysis]
20 Silva DF, Lyra Cde O, Lima SC. [Dietary habits of adolescents and associated cardiovascular risk factors: a systematic review]. Cien Saude Colet 2016;21:1181-96. [PMID: 27076017 DOI: 10.1590/1413-81232015214.08742015] [Cited by in Crossref: 13] [Cited by in F6Publishing: 6] [Article Influence: 3.3] [Reference Citation Analysis]
21 Vaz JDS, Buffarini R, Kac G, Bielemann RM, Oliveira I, Menezes AB, Assunção MCF. Dietary patterns are associated with blood lipids at 18-year-olds: a cross-sectional analysis nested in the 1993 Pelotas (Brazil) birth cohort. Nutr J 2018;17:77. [PMID: 30134901 DOI: 10.1186/s12937-018-0389-z] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.7] [Reference Citation Analysis]
22 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]
23 Neves MEA, Souza MR, Gorgulho BM, Cunha DB, Muraro AP, Rodrigues PRM. Association of dietary patterns with blood pressure and body adiposity in adolescents: a systematic review. Eur J Clin Nutr 2021. [PMID: 33531634 DOI: 10.1038/s41430-020-00850-w] [Reference Citation Analysis]
24 Velásquez-Rodríguez CM, Velásquez-Villa M, Gómez-Ocampo L, Bermúdez-Cardona J. Abdominal obesity and low physical activity are associated with insulin resistance in overweight adolescents: a cross-sectional study. BMC Pediatr 2014;14:258. [PMID: 25301371 DOI: 10.1186/1471-2431-14-258] [Cited by in Crossref: 15] [Cited by in F6Publishing: 11] [Article Influence: 2.1] [Reference Citation Analysis]
25 Kim J, Yu A, Choi BY, Nam JH, Kim MK, Oh DH, Yang YJ. Dietary Patterns Derived by Cluster Analysis are Associated with Cognitive Function among Korean Older Adults. Nutrients 2015;7:4154-69. [PMID: 26035243 DOI: 10.3390/nu7064154] [Cited by in Crossref: 18] [Cited by in F6Publishing: 12] [Article Influence: 3.0] [Reference Citation Analysis]
26 Funtikova AN, Navarro E, Bawaked RA, Fíto M, Schröder H. Impact of diet on cardiometabolic health in children and adolescents. Nutr J 2015;14:118. [PMID: 26574072 DOI: 10.1186/s12937-015-0107-z] [Cited by in Crossref: 56] [Cited by in F6Publishing: 42] [Article Influence: 9.3] [Reference Citation Analysis]
27 Kim JY, He F, Karin M. From Liver Fat to Cancer: Perils of the Western Diet. Cancers (Basel) 2021;13:1095. [PMID: 33806428 DOI: 10.3390/cancers13051095] [Reference Citation Analysis]
28 Bobridge KS, Haines GL, Mori TA, Beilin LJ, Oddy WH, Sherriff J, O'sullivan TA. Dietary fructose in relation to blood pressure and serum uric acid in adolescent boys and girls. J Hum Hypertens 2013;27:217-24. [DOI: 10.1038/jhh.2012.36] [Cited by in Crossref: 18] [Cited by in F6Publishing: 15] [Article Influence: 2.0] [Reference Citation Analysis]
29 Oddy WH, Herbison CE, Jacoby P, Ambrosini GL, O'Sullivan TA, Ayonrinde OT, Olynyk JK, Black LJ, Beilin LJ, Mori TA, Hands BP, Adams LA. The Western dietary pattern is prospectively associated with nonalcoholic fatty liver disease in adolescence. Am J Gastroenterol. 2013;108:778-785. [PMID: 23545714 DOI: 10.1038/ajg.2013.95] [Cited by in Crossref: 145] [Cited by in F6Publishing: 120] [Article Influence: 18.1] [Reference Citation Analysis]
30 Bradlee ML, Singer MR, Daniels SR, Moore LL. Eating patterns and lipid levels in older adolescent girls. Nutr Metab Cardiovasc Dis 2013;23:196-204. [PMID: 22417625 DOI: 10.1016/j.numecd.2011.10.010] [Cited by in Crossref: 10] [Cited by in F6Publishing: 8] [Article Influence: 1.1] [Reference Citation Analysis]
31 Romero-Polvo A, Denova-Gutiérrez E, Rivera-Paredez B, Castañón S, Gallegos-Carrillo K, Halley-Castillo E, Borges G, Flores M, Salmerón J. Association between dietary patterns and insulin resistance in Mexican children and adolescents. Ann Nutr Metab 2012;61:142-50. [PMID: 23037180 DOI: 10.1159/000341493] [Cited by in Crossref: 26] [Cited by in F6Publishing: 18] [Article Influence: 3.3] [Reference Citation Analysis]
32 Walker SE, Gurka MJ, Oliver MN, Johns DW, DeBoer MD. Racial/ethnic discrepancies in the metabolic syndrome begin in childhood and persist after adjustment for environmental factors. Nutr Metab Cardiovasc Dis 2012;22:141-8. [PMID: 20708390 DOI: 10.1016/j.numecd.2010.05.006] [Cited by in Crossref: 68] [Cited by in F6Publishing: 69] [Article Influence: 6.2] [Reference Citation Analysis]
33 Low Birth Weight and Nephron Number Working Group. The Impact of Kidney Development on the Life Course: A Consensus Document for Action. Nephron 2017;136:3-49. [PMID: 28319949 DOI: 10.1159/000457967] [Cited by in Crossref: 68] [Cited by in F6Publishing: 38] [Article Influence: 17.0] [Reference Citation Analysis]
34 Jiménez-Pavón D, Sesé MA, Huybrechts I, Cuenca-García M, Palacios G, Ruiz JR, Breidenassel C, Leclercq C, Beghin L, Plada M, Manios Y, Androutsos O, Dallongeville J, Kafatos A, Widhalm K, Molnar D, Moreno LA. Dietary and lifestyle quality indices with/without physical activity and markers of insulin resistance in European adolescents: the HELENA study. Br J Nutr 2013;110:1919-25. [PMID: 23596986 DOI: 10.1017/S0007114513001153] [Cited by in Crossref: 9] [Cited by in F6Publishing: 5] [Article Influence: 1.1] [Reference Citation Analysis]
35 Blondin SA, Mueller MP, Bakun PJ, Choumenkovitch SF, Tucker KL, Economos CD. Cross-Sectional Associations between Empirically-Derived Dietary Patterns and Indicators of Disease Risk among University Students. Nutrients 2015;8:E3. [PMID: 26712784 DOI: 10.3390/nu8010003] [Cited by in Crossref: 17] [Cited by in F6Publishing: 10] [Article Influence: 2.8] [Reference Citation Analysis]
36 Hooshmand F, Asghari G, Yuzbashian E, Mahdavi M, Mirmiran P, Azizi F. Modified Healthy Eating Index and Incidence of Metabolic Syndrome in Children and Adolescents: Tehran Lipid and Glucose Study. The Journal of Pediatrics 2018;197:134-139.e2. [DOI: 10.1016/j.jpeds.2018.01.080] [Cited by in Crossref: 9] [Cited by in F6Publishing: 8] [Article Influence: 3.0] [Reference Citation Analysis]
37 Zink J, Nicolo M, Imm K, Ebrahimian S, Yu Q, Lee K, Zapanta K, Huh J, Dunton GF, Goran MI, Page KA, Dieli-Conwright CM, Belcher BR. Interstitial glucose and subsequent affective and physical feeling states: A pilot study combining continuous glucose monitoring and ecological momentary assessment in adolescents. J Psychosom Res 2020;135:110141. [PMID: 32447156 DOI: 10.1016/j.jpsychores.2020.110141] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
38 Appannah G, Murray K, Trapp G, Dymock M, Oddy WH, Ambrosini GL. Dietary pattern trajectories across adolescence and early adulthood and their associations with childhood and parental factors. Am J Clin Nutr 2020:nqaa281. [PMID: 33181820 DOI: 10.1093/ajcn/nqaa281] [Cited by in Crossref: 5] [Cited by in F6Publishing: 2] [Article Influence: 5.0] [Reference Citation Analysis]
39 Frémeaux AE, Hosking J, Metcalf BS, Jeffery AN, Voss LD, Wilkin TJ. Consistency of children's dietary choices: annual repeat measures from 5 to 13 years (EarlyBird 49). Br J Nutr 2011;106:725-31. [DOI: 10.1017/s0007114511000705] [Cited by in Crossref: 15] [Cited by in F6Publishing: 4] [Article Influence: 1.5] [Reference Citation Analysis]
40 Rocha NP, Milagres LC, Longo GZ, Ribeiro AQ, Novaes JFD. Association between dietary pattern and cardiometabolic risk in children and adolescents: a systematic review. Jornal de Pediatria 2017;93:214-22. [DOI: 10.1016/j.jped.2017.01.002] [Cited by in Crossref: 40] [Cited by in F6Publishing: 23] [Article Influence: 10.0] [Reference Citation Analysis]
41 Liccardo D, Alisi A, Porta G, Nobili V. Is there any link between dietary pattern and development of nonalcoholic fatty liver disease in adolescence? An expert review. Expert Rev Gastroenterol Hepatol 2013;7:601-4. [PMID: 24070151 DOI: 10.1586/17474124.2013.827483] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 0.6] [Reference Citation Analysis]
42 Abreu S, Moreira P, Moreira C, Mota J, Moreira-Silva I, Santos PC, Santos R. Intake of milk, but not total dairy, yogurt, or cheese, is negatively associated with the clustering of cardiometabolic risk factors in adolescents. Nutr Res 2014;34:48-57. [PMID: 24418246 DOI: 10.1016/j.nutres.2013.10.008] [Cited by in Crossref: 30] [Cited by in F6Publishing: 16] [Article Influence: 3.8] [Reference Citation Analysis]
43 Kim J, Jo I. Grains, Vegetables, and Fish Dietary Pattern Is Inversely Associated with the Risk of Metabolic Syndrome in South Korean Adults. Journal of the American Dietetic Association 2011;111:1141-9. [DOI: 10.1016/j.jada.2011.05.001] [Cited by in Crossref: 76] [Cited by in F6Publishing: 50] [Article Influence: 7.6] [Reference Citation Analysis]
44 Bradlee ML, Singer MR, Moore LL. Lean red meat consumption and lipid profiles in adolescent girls. J Hum Nutr Diet 2014;27 Suppl 2:292-300. [PMID: 23663235 DOI: 10.1111/jhn.12106] [Cited by in Crossref: 8] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
45 Rahmawaty S, Lyons-wall P, Batterham M, Charlton K, Meyer BJ. Food patterns of Australian children ages 9 to 13 y in relation to ω-3 long chain polyunsaturated intake. Nutrition 2014;30:169-76. [DOI: 10.1016/j.nut.2013.07.014] [Cited by in Crossref: 7] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
46 Kehoe SH, Krishnaveni GV, Veena SR, Guntupalli AM, Margetts BM, Fall CH, Robinson SM. Diet patterns are associated with demographic factors and nutritional status in South Indian children. Matern Child Nutr 2014;10:145-58. [PMID: 23819872 DOI: 10.1111/mcn.12046] [Cited by in Crossref: 30] [Cited by in F6Publishing: 15] [Article Influence: 3.8] [Reference Citation Analysis]
47 Sabaté J, Wien M. A perspective on vegetarian dietary patterns and risk of metabolic syndrome. Br J Nutr 2015;113 Suppl 2:S136-43. [PMID: 26148917 DOI: 10.1017/S0007114514004139] [Cited by in Crossref: 50] [Cited by in F6Publishing: 21] [Article Influence: 8.3] [Reference Citation Analysis]
48 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]
49 Karatzi K, Moschonis G, Barouti A, Lionis C, Chrousos GP, Manios Y. Dietary patterns and breakfast consumption in relation to insulin resistance in children. The Healthy Growth Study. Public Health Nutr 2014;17:2790-7. [DOI: 10.1017/s1368980013003327] [Cited by in Crossref: 22] [Cited by in F6Publishing: 8] [Article Influence: 3.1] [Reference Citation Analysis]
50 Shi Z, Papier K, Yiengprugsawan V, Kelly M, Seubsman SA, Sleigh AC. Dietary patterns associated with hypertension risk among adults in Thailand: 8-year findings from the Thai Cohort Study. Public Health Nutr 2019;22:307-13. [PMID: 30187840 DOI: 10.1017/S1368980018002203] [Cited by in Crossref: 5] [Cited by in F6Publishing: 2] [Article Influence: 1.7] [Reference Citation Analysis]
51 Ambrosini GL, Oddy WH, Huang RC, Mori TA, Beilin LJ, Jebb SA. Prospective associations between sugar-sweetened beverage intakes and cardiometabolic risk factors in adolescents. Am J Clin Nutr 2013;98:327-34. [PMID: 23719557 DOI: 10.3945/ajcn.112.051383] [Cited by in Crossref: 113] [Cited by in F6Publishing: 83] [Article Influence: 14.1] [Reference Citation Analysis]
52 Pinto A, Santos AC, Lopes C, Oliveira A. Dietary patterns at 7 year-old and their association with cardiometabolic health at 10 year-old. Clin Nutr 2020;39:1195-202. [PMID: 31133488 DOI: 10.1016/j.clnu.2019.05.007] [Cited by in Crossref: 7] [Cited by in F6Publishing: 3] [Article Influence: 3.5] [Reference Citation Analysis]
53 Mirmiran P, Ziadlou M, Karimi S, Hosseini-Esfahani F, Azizi F. The association of dietary patterns and adherence to WHO healthy diet with metabolic syndrome in children and adolescents: Tehran lipid and glucose study. BMC Public Health 2019;19:1457. [PMID: 31694610 DOI: 10.1186/s12889-019-7779-9] [Cited by in Crossref: 11] [Cited by in F6Publishing: 8] [Article Influence: 5.5] [Reference Citation Analysis]
54 Hosseini Z, Whiting SJ, Vatanparast H. Current evidence on the association of the metabolic syndrome and dietary patterns in a global perspective. Nutr Res Rev. 2016;29:152-162. [PMID: 27955720 DOI: 10.1017/s095442241600007x] [Cited by in Crossref: 33] [Cited by in F6Publishing: 13] [Article Influence: 11.0] [Reference Citation Analysis]
55 Liao W, Xiao DM, Huang Y, Yu HJ, Yuan S, Chen T, Phongsavan P, Mao ZF, He QQ. Combined Association of Diet and Cardiorespiratory Fitness with Metabolic Syndrome in Chinese Schoolchildren. Matern Child Health J 2016;20:1904-10. [PMID: 27075362 DOI: 10.1007/s10995-016-2001-5] [Cited by in Crossref: 8] [Cited by in F6Publishing: 7] [Article Influence: 2.0] [Reference Citation Analysis]
56 Jurkovičová J, Hirošová K, Vondrová D, Samohýl M, Štefániková Z, Filová A, Kachútová I, Babjaková J, Argalášová Ľ. The Prevalence of Insulin Resistance and the Associated Risk Factors in a Sample of 14-18-Year-Old Slovak Adolescents. Int J Environ Res Public Health 2021;18:909. [PMID: 33494341 DOI: 10.3390/ijerph18030909] [Reference Citation Analysis]
57 Luque V, Closa-Monasterolo R, Grote V, Ambrosini GL, Zaragoza-Jordana M, Ferré N, Theurich M, Koletzko B, Verduci E, Gruszfeld D, Xhonneux A, Escribano J. Dietary patterns acquired in early life are associated with cardiometabolic markers at school age. Clin Nutr 2021;40:4606-14. [PMID: 34229265 DOI: 10.1016/j.clnu.2021.06.001] [Reference Citation Analysis]
58 Chen L, Zhu H, Gutin B, Dong Y. Race, Gender, Family Structure, Socioeconomic Status, Dietary Patterns, and Cardiovascular Health in Adolescents. Curr Dev Nutr 2019;3:nzz117. [PMID: 31750413 DOI: 10.1093/cdn/nzz117] [Cited by in Crossref: 11] [Cited by in F6Publishing: 5] [Article Influence: 5.5] [Reference Citation Analysis]
59 Yazar S, Forward H, Mcknight CM, Tan A, Soloshenko A, Oates SK, Ang W, Sherwin JC, Wood D, Mountain JA, Pennell CE, Hewitt AW, Mackey DA. Raine Eye Health Study: Design, Methodology and Baseline Prevalence of Ophthalmic Disease in a Birth-cohort Study of Young Adults. Ophthalmic Genetics 2013;34:199-208. [DOI: 10.3109/13816810.2012.755632] [Cited by in Crossref: 28] [Cited by in F6Publishing: 25] [Article Influence: 3.5] [Reference Citation Analysis]
60 Cunha DB, Bezerra IN, Pereira RA, Sichieri R. At-home and away-from-home dietary patterns and BMI z-scores in Brazilian adolescents. Appetite 2018;120:374-80. [DOI: 10.1016/j.appet.2017.09.028] [Cited by in Crossref: 24] [Cited by in F6Publishing: 17] [Article Influence: 8.0] [Reference Citation Analysis]
61 Shakya PR, Melaku YA, Page A, Gill TK. Association between dietary patterns and adult depression symptoms based on principal component analysis, reduced-rank regression and partial least-squares. Clin Nutr 2020;39:2811-23. [PMID: 32007317 DOI: 10.1016/j.clnu.2019.12.011] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 2.5] [Reference Citation Analysis]
62 Bogl LH, Pietiläinen KH, Rissanen A, Kangas AJ, Soininen P, Rose RJ, Ala-Korpela M, Kaprio J. Association between habitual dietary intake and lipoprotein subclass profile in healthy young adults. Nutr Metab Cardiovasc Dis 2013;23:1071-8. [PMID: 23333726 DOI: 10.1016/j.numecd.2012.11.007] [Cited by in Crossref: 28] [Cited by in F6Publishing: 20] [Article Influence: 3.5] [Reference Citation Analysis]
63 Oddy WH, Allen KL, Trapp GSA, Ambrosini GL, Black LJ, Huang RC, Rzehak P, Runions KC, Pan F, Beilin LJ, Mori TA. Dietary patterns, body mass index and inflammation: Pathways to depression and mental health problems in adolescents. Brain Behav Immun 2018;69:428-39. [PMID: 29339318 DOI: 10.1016/j.bbi.2018.01.002] [Cited by in Crossref: 56] [Cited by in F6Publishing: 36] [Article Influence: 18.7] [Reference Citation Analysis]
64 Mellendick K, Shanahan L, Wideman L, Calkins S, Keane S, Lovelady C. Diets Rich in Fruits and Vegetables Are Associated with Lower Cardiovascular Disease Risk in Adolescents. Nutrients 2018;10:E136. [PMID: 29382069 DOI: 10.3390/nu10020136] [Cited by in Crossref: 26] [Cited by in F6Publishing: 19] [Article Influence: 8.7] [Reference Citation Analysis]
65 Moore LL, Singer MR, Bradlee ML, Daniels SR. Adolescent dietary intakes predict cardiometabolic risk clustering. Eur J Nutr 2016;55:461-8. [PMID: 25724172 DOI: 10.1007/s00394-015-0863-8] [Cited by in Crossref: 14] [Cited by in F6Publishing: 9] [Article Influence: 2.3] [Reference Citation Analysis]
66 Hojhabrimanesh A, Akhlaghi M, Rahmani E, Amanat S, Atefi M, Najafi M, Hashemzadeh M, Salehi S, Faghih S. A Western dietary pattern is associated with higher blood pressure in Iranian adolescents. Eur J Nutr 2017;56:399-408. [PMID: 26534856 DOI: 10.1007/s00394-015-1090-z] [Cited by in Crossref: 18] [Cited by in F6Publishing: 13] [Article Influence: 3.0] [Reference Citation Analysis]
67 Bekelman TA, Ringham BM, Sauder KA, Johnson SL, Harrall KH, Glueck DH, Dabelea D. Adherence to index-based dietary patterns in childhood and BMI trajectory during the transition to adolescence: the EPOCH study. Int J Obes (Lond) 2021. [PMID: 34304241 DOI: 10.1038/s41366-021-00917-z] [Reference Citation Analysis]
68 Hart-Unger S, Arao Y, Hamilton KJ, Lierz SL, Malarkey DE, Hewitt SC, Freemark M, Korach KS. Hormone signaling and fatty liver in females: analysis of estrogen receptor α mutant mice. Int J Obes (Lond) 2017;41:945-54. [PMID: 28220039 DOI: 10.1038/ijo.2017.50] [Cited by in Crossref: 36] [Cited by in F6Publishing: 28] [Article Influence: 9.0] [Reference Citation Analysis]
69 Andersen LB, Arnberg K, Trolle E, Michaelsen KF, Bro R, Pipper CB, Mølgaard C. The effects of water and dairy drinks on dietary patterns in overweight adolescents. Int J Food Sci Nutr 2016;67:314-24. [PMID: 26903408 DOI: 10.3109/09637486.2016.1150435] [Cited by in Crossref: 9] [Cited by in F6Publishing: 6] [Article Influence: 1.8] [Reference Citation Analysis]
70 Zaribaf F, Mohammadifard N, Sarrafzadegan N, Karimi G, Gholampour A, Azadbakht L. Dietary patterns in relation to lipid profiles among Iranian adults. J Cardiovasc Thorac Res 2019;11:19-27. [PMID: 31024668 DOI: 10.15171/jcvtr.2019.04] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
71 Eloranta AM, Lindi V, Schwab U, Kiiskinen S, Venäläinen T, Lakka HM, Laaksonen DE, Lakka TA. Dietary factors associated with metabolic risk score in Finnish children aged 6–8 years: the PANIC study. Eur J Nutr 2014;53:1431-9. [DOI: 10.1007/s00394-013-0646-z] [Cited by in Crossref: 20] [Cited by in F6Publishing: 17] [Article Influence: 2.5] [Reference Citation Analysis]
72 Damsgaard CT, Dalskov SM, Laursen RP, Ritz C, Hjorth MF, Lauritzen L, Sørensen LB, Petersen RA, Andersen MR, Stender S, Andersen R, Tetens I, Mølgaard C, Astrup A, Michaelsen KF. Provision of healthy school meals does not affect the metabolic syndrome score in 8-11-year-old children, but reduces cardiometabolic risk markers despite increasing waist circumference. Br J Nutr 2014;112:1826-36. [PMID: 25323030 DOI: 10.1017/S0007114514003043] [Cited by in Crossref: 47] [Cited by in F6Publishing: 9] [Article Influence: 6.7] [Reference Citation Analysis]
73 Nyaradi A, Li J, Hickling S, Foster JK, Jacques A, Ambrosini GL, Oddy WH. A Western dietary pattern is associated with poor academic performance in Australian adolescents. Nutrients 2015;7:2961-82. [PMID: 25898417 DOI: 10.3390/nu7042961] [Cited by in Crossref: 18] [Cited by in F6Publishing: 11] [Article Influence: 3.0] [Reference Citation Analysis]
74 Nobre LN, Lamounier JA, Franceschini Sdo C. Sociodemographic, anthropometric and dietary determinants of dyslipidemia in preschoolers. J Pediatr (Rio J) 2013;89:462-9. [PMID: 23850110 DOI: 10.1016/j.jped.2013.02.020] [Cited by in Crossref: 15] [Cited by in F6Publishing: 10] [Article Influence: 1.9] [Reference Citation Analysis]
75 Moreira C, Santos R, Moreira P, Lobelo F, Ruiz J, Vale S, Santos P, Abreu S, Mota J. Cardiorespiratory fitness is negatively associated with metabolic risk factors independently of the adherence to a healthy dietary pattern. Nutrition, Metabolism and Cardiovascular Diseases 2013;23:670-6. [DOI: 10.1016/j.numecd.2012.01.011] [Cited by in Crossref: 13] [Cited by in F6Publishing: 10] [Article Influence: 1.6] [Reference Citation Analysis]
76 Kelishadi R, Heshmat R, Mansourian M, Motlagh ME, Ziaodini H, Taheri M, Ahadi Z, Aminaee T, Goodarzi A, Mansourian M, Qorbani M, Mozafarian N. Association of dietary patterns with continuous metabolic syndrome in children and adolescents; a nationwide propensity score-matched analysis: the CASPIAN-V study. Diabetol Metab Syndr 2018;10:52. [PMID: 29988703 DOI: 10.1186/s13098-018-0352-3] [Cited by in Crossref: 13] [Cited by in F6Publishing: 8] [Article Influence: 4.3] [Reference Citation Analysis]