A Prudent dietary pattern is inversely associated with liver fat content among multi-ethnic youth.
adolescents
diet
epidemiology
hepatic fat fraction
non-alcoholic fatty liver disease
Journal
Pediatric obesity
ISSN: 2047-6310
Titre abrégé: Pediatr Obes
Pays: England
ID NLM: 101572033
Informations de publication
Date de publication:
06 2021
06 2021
Historique:
revised:
26
10
2020
received:
24
08
2020
accepted:
13
11
2020
pubmed:
10
12
2020
medline:
26
11
2021
entrez:
9
12
2020
Statut:
ppublish
Résumé
To identify dietary patterns associated with hepatic fat fraction (HFF), a measure of liver fat content and risk factor for non-alcoholic fatty liver disease, in a prospective study of 397 multi-ethnic youth. We obtained information on habitual dietary intake via the Block Kids Food Frequency Questionnaire at age 6 to 15 years ('T1') and 12 to 19 years ('T2'), and measured HFF using magnetic resonance imaging at T2. We derived dietary patterns via principal components analysis and examined associations with ln-transformed HFF using linear regression models that accounted for maternal education, gestational diabetes exposure and smoking habits; and child pubertal status, BMI and physical activity. At T1, none of the dietary patterns identified were associated with HFF measured at T2. At T2, a Prudent dietary pattern characterized by high fruit and vegetable intake was inversely associated with HFF (-0.08 [95% CI: -0.16, -0.00]). Similarly, increased adherence to the Prudent pattern across T1 and T2 corresponded with lower ln-HFF (-0.11 [-0.18, -0.04] units). On the other hand, adherence to a Western pattern comprising fried foods and refined carbohydrates at T2 correlated with higher HFF among non-Hispanic White participants (0.16 [0.06, 0.26]). These findings persisted after accounting for child BMI. Even in healthy youth, a diet high in fruits and vegetables is associated with lower HFF, whereas a diet high in fried foods and refined carbohydrates is related to higher HFF. Dietary changes may serve as an early preventive measure to mitigate liver fat accrual.
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
e12758Subventions
Organisme : NIMHD NIH HHS
ID : R01 MD010358
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK068001
Pays : United States
Organisme : NCATS NIH HHS
ID : KL2 TR002534
Pays : United States
Informations de copyright
© 2020 World Obesity Federation.
Références
National Institute of Diabetes and Digestive and Kidney Diseases. Definition & Facts of NAFLD & NASH. [Online]. 2016; https://www.niddk.nih.gov/health-information/liver-disease/nafld-nash/definition-facts. Accessed February 21, 2018.
Doycheva I, Watt KD, Rifai G, et al. Increasing burden of chronic liver disease among adolescents and young adults in the USA: a silent epidemic. Dig Dis Sci. 2017;62(5):1373-1380.
Lavine JE, Schwimmer JB. Nonalcoholic fatty liver disease in the pediatric population. Clin Liver Dis. 2004;8(3):549-558. viii-ix.
Alderete TL, Toledo-Corral CM, Desai P, Weigensberg MJ, Goran MI. Liver fat has a stronger association with risk factors for type 2 diabetes in African-American compared with Hispanic adolescents. J Clin Endocrinol Metab. 2013;98(9):3748-3754.
Welsh JA, Karpen S, Vos MB. Increasing prevalence of nonalcoholic fatty liver disease among United States adolescents, 1988-1994 to 2007-2010. J Pediatr. 2013;162(3):496-500.e491.
Browning JD, Szczepaniak LS, Dobbins R, et al. Prevalence of hepatic steatosis in an urban population in the United States: impact of ethnicity. Hepatology. 2004;40(6):1387-1395.
National Guideline Centre (UK). Risk Factors for NAFLD. London, England: National Institute for Health and Care Excellence (UK); 2016.
Papandreou D, Andreou E. Role of diet on non-alcoholic fatty liver disease: an updated narrative review. World J Hepatol. 2015;7(3):575-582.
Mirmiran P, Amirhamidi Z, Ejtahed H-S, Bahadoran Z, Azizi F. Relationship between diet and non-alcoholic fatty liver disease: a review article. Iran J Public Health. 2017;46(8):1007-1017.
Nier A, Conzelmann IB, Ozel Y, Bergheim I. Non-alcoholic fatty liver disease in overweight children: role of fructose intake and dietary pattern. Nutrients. 2018;10(9):1329. https://doi.org/10.3390/nu10091329.
Davis JN, Lê K-A, Walker RW, et al. Increased hepatic fat in overweight Hispanic youth influenced by interaction between genetic variation in PNPLA3 and high dietary carbohydrate and sugar consumption. Am J Clin Nutr. 2010;92(6):1522-1527.
Cook LT, O'Reilly GA, Goran MI, Weigensberg MJ, Spruijt-Metz D, Davis JN. Vegetable consumption is linked to decreased visceral and liver fat and improved insulin resistance in overweight Latino youth. J Acad Nutr Diet. 2014;114(11):1776-1783.
Serra-Majem L, Ribas L, Ngo J, et al. Food, youth and the Mediterranean diet in Spain. Development of KIDMED, Mediterranean diet quality index in children and adolescents. Public Health Nutr. 2004;7(7):931-935.
Della Corte C, Mosca A, Vania A, Alterio A, Iasevoli S, Nobili V. Good adherence to the Mediterranean diet reduces the risk for NASH and diabetes in pediatric patients with obesity: the results of an Italian study. Nutrition. 2017;39-40:8-14.
Cakir M, Akbulut UE, Okten A. Association between adherence to the Mediterranean diet and presence of nonalcoholic fatty liver disease in children. Child Obes. 2016;12(4):279-285.
Crume TL, Ogden L, West NA, et al. Association of exposure to diabetes in utero with adiposity and fat distribution in a multiethnic population of youth: the exploring perinatal outcomes among children (EPOCH) study. Diabetologia. 2011;54(1):87-92.
Crume TL, Ogden L, Maligie M, et al. Long-term impact of neonatal breastfeeding on childhood adiposity and fat distribution among children exposed to diabetes in utero. Diabetes Care. 2011;34(3):641-645.
Cullen KW, Watson K, Zakeri I. Relative reliability and validity of the block kids questionnaire among youth aged 10 to 17 years. J Am Diet Assoc. 2008;108(5):862-866.
Matheson DM, Hanson KA, McDonald TE, Robinson TN. Validity of children's food portion estimates: a comparison of 2 measurement aids. Arch Pediatr Adolesc Med. 2002;156(9):867-871.
Baranowski T, Domel SB. A cognitive model of children's reporting of food intake. Am J Clin Nutr. 1994;59(1 Suppl):212s-217s.
Haytowitz, DB, Ahuja, JKC, Wu, X, et al. USDA National Nutrient Database for Standard Reference, Legacy Release. Nutrient Data Laboratory, Beltsville Human Nutrition Research Center, ARS, USDA; 2019. https://data.nal.usda.gov/dataset/usda-national-nutrient-database-standard-reference-legacy-release. Accessed December 4, 2020.
Willett WC. Implications of total energy intake for epidemiologic analyses. Nutritional Epidemiology. Vol 30. New York, NY: Oxford University Press; 1998:279-298.
Bellatorre A, Scherzinger A, Stamm E, Martinez M, Ringham B, Dabelea D. Fetal overnutrition and adolescent hepatic fat fraction: the exploring perinatal outcomes in children study. J Pediatr. 2018;192:165-170.e161.
2. Classification and diagnosis of diabetes. Diabetes Care. 2017;40(Suppl 1):S11-S24.
West NA, Crume TL, Maligie MA, Dabelea D. Cardiovascular risk factors in children exposed to maternal diabetes in utero. Diabetologia. 2011;54(3):504-507.
de Onis M, Onyango AW, Borghi E, Siyam A, Nishida C, Siekmann J. Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Organ. 2007;85(9):660-667.
Marshall WA, Tanner JM. Growth and physiological development during adolescence. Annu Rev Med. 1968;19:283-300.
Weston AT, Petosa R, Pate RR. Validation of an instrument for measurement of physical activity in youth. Med Sci Sports Exerc. 1997;29(1):138-143.
Pate RR, Ross R, Dowda M, Trost SG, Sirard JR. Validation of a 3-day physical activity recall instrument in female youth. Pediatr Exerc Sci. 2003;15(3):257-265.
Dunteman G. Principal Components Analysis. Newbury Park, CA: Sage; 1989.
McNaughton SA, Ball K, Mishra GD, Crawford DA. Dietary patterns of adolescents and risk of obesity and hypertension. J Nutr. 2008;138(2):364-370.
McCann SE, Marshall JR, Brasure JR, Graham S, Freudenheim JL. Analysis of patterns of food intake in nutritional epidemiology: food classification in principal components analysis and the subsequent impact on estimates for endometrial cancer. Public Health Nutr. 2001;4(5):989-997.
Nobili V, Manco M, Devito R, et al. Lifestyle intervention and antioxidant therapy in children with nonalcoholic fatty liver disease: a randomized, controlled trial. Hepatology. 2008;48(1):119-128.
Lu W, Li S, Li J, et al. Effects of omega-3 fatty acid in nonalcoholic fatty liver disease: a meta-analysis. Gastroenterol Res Pract. 2016;2016:1459790.
Hill DB, Devalaraja R, Joshi-Barve S, Barve S, McClain CJ. Antioxidants attenuate nuclear factor-kappa B activation and tumor necrosis factor-alpha production in alcoholic hepatitis patient monocytes and rat Kupffer cells, in vitro. Clin Biochem. 1999;32(7):563-570.
The Hispanic paradox. Lancet. 2015;385(9981):1918.
Hu FB. Dietary pattern analysis: a new direction in nutritional epidemiology. Curr Opin Lipidol. 2002;13(1):3-9.
Schooling CM. Life course epidemiology: recognising the importance of puberty. J Epidemiol Community Health. 2015;69(8):820.
Lissner L, Troiano RP, Midthune D, et al. OPEN about obesity: recovery biomarkers, dietary reporting errors and BMI. Int J Obes (Lond). 2007;31(6):956-961.
Camhi SM, Katzmarzyk PT, Broyles S, et al. Predicting adult body mass index-specific metabolic risk from childhood. Metab Syndr Relat Disord. 2010;8(2):165-172.
Chen X, Wang Y. Tracking of blood pressure from childhood to adulthood: a systematic review and meta-regression analysis. Circulation. 2008;117(25):3171-3180.