Advertisement

Dietary Intake and the Metabolic Syndrome in Overweight Latino Children

      Abstract

      Little is known about the relationship between diet and metabolic health in Latino children, a population at increased risk for diabetes. The present study evaluates diet composition and the metabolic syndrome in a cross-sectional sample of 109 overweight Latino children aged 10 to 17 years with a family history of type 2 diabetes. Dietary intake was assessed by two 24-hour recalls. Associations between nutrients and features of the metabolic syndrome were examined using multiple linear regression and analysis of covariance. Log cholesterol intake was positively associated with log systolic blood pressure (β=0.034, P=0.017) and log soluble dietary fiber intake was inversely associated with log waist circumference (β=−0.069, P=0.036). Log soluble fiber intake was significantly higher in participants with 0 features compared to those with 3+ features of the metabolic syndrome (P=0.046), which translates to 5.2 g vs 4.1 g soluble fiber daily. No other significant associations were found between dietary variables and either the individual features of the metabolic syndrome or the clustering of metabolic syndrome components. Increases in soluble fiber through the daily consumption of fruits, vegetables, and beans may improve metabolic health in Latino children.
      To read this article in full you will need to make a payment

      Purchase one-time access:

      Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online access
      One-time access price info
      • For academic or personal research use, select 'Academic and Personal'
      • For corporate R&D use, select 'Corporate R&D Professionals'

      Subscribe:

      Subscribe to Journal of the Academy of Nutrition and Dietetics
      Already a print subscriber? Claim online access
      Already an online subscriber? Sign in
      Institutional Access: Sign in to ScienceDirect

      References

        • Cook S.
        • Weitzman M.
        • Auinger P.
        • Nguyen M.
        • Dietz W.H.
        Prevalence of a metabolic syndrome phenotype in adolescents: Findings from the third National Health and Nutrition Examination Survey, 1988-1994.
        Arch Pediatr Adolesc Med. 2003; 157: 821-827
        • Sonnenberg L.
        • Pencina M.
        • Kimokoti R.
        • Quatromoni P.
        • Nam B.H.
        • D'Agostino R.
        • Meigs J.B.
        • Ordovas J.
        • Cobain M.
        • Millen B.
        Dietary patterns and the metabolic syndrome in obese and non-obese Framingham women.
        Obes Res. 2005; 13: 153-162
        • Wirfalt E.
        • Hedblad B.
        • Gullberg B.
        • Mattisson I.
        • Andren C.
        • Rosander U.
        • Janzon L.
        • Berglund G.
        Food patterns and components of the metabolic syndrome in men and women: A cross-sectional study within the Malmo Diet and Cancer cohort.
        Am J Epidemiol. 2001; 154: 1150-1159
        • Ventura A.K.
        • Loken E.
        • Birch L.L.
        Risk profiles for metabolic syndrome in a nonclinical sample of adolescent girls.
        Pediatrics. 2006; 118: 2434-2442
        • Kim J.A.
        • Kim S.M.
        • Lee J.S.
        • Oh H.J.
        • Han J.H.
        • Song Y.
        • Joung H.
        • Park H.S.
        Dietary patterns and the metabolic syndrome in Korean adolescents: 2001 Korean National Health and Nutrition Survey.
        Diabetes Care. 2007; 30: 1904-1905
        • Cruz M.L.
        • Weigensberg M.J.
        • Huang T.T.
        • Ball G.
        • Shaibi G.Q.
        • Goran M.I.
        The metabolic syndrome in overweight Hispanic youth and the role of insulin sensitivity.
        J Clin Endocrinol Metab. 2004; 89: 108-113
        • Goran M.
        • Bergman R.
        • Avilla Q.
        • Watkins M.
        • Ball G.
        • Shaibi G.
        • Weigensberg M.
        • Cruz M.
        Impaired glucose tolerance and reduced beta-cell function in overweight Latino children with a positive family history of type 2 diabetes.
        J Clin Endocrinol Metab. 2004; 89: 207-212
        • Weigensberg M.J.
        • Ball G.D.
        • Shaibi G.Q.
        • Cruz M.L.
        • Goran M.I.
        Decreased beta-cell function in overweight Latino children with impaired fasting glucose.
        Diabetes Care. 2005; 28: 2519-2524
        • Centers for Disease Control and Prevention
        CDC Growth Charts.
        US Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Health Statistics, Atlanta, GA2000 (US publ. no. 314)
      1. The fourth report on the diagnosis, evaluation, and treatment of high blood pressure in children and adolescents.
        Pediatrics. 2004; 114: 555-576
        • Tanner J.M.
        Growth and maturation during adolescence.
        Nutr Rev. 1981; 39: 43-55
        • American Diabetes Association
        Clinical practice recommendations 2002.
        Diabetes Care. 2002; 25: S1-S147
      2. Executive Summary of The Third Report of The National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, And Treatment of High Blood Cholesterol In Adults (Adult Treatment Panel III).
        JAMA. 2001; 285: 2486-2497
        • Fernandez J.R.
        • Redden D.T.
        • Pietrobelli A.
        • Allison D.B.
        Waist circumference percentiles in nationally representative samples of African-American, European-American, and Mexican-American children and adolescents.
        J Pediatr. 2004; 145: 439-444
        • Hickman T.B.
        • Briefel R.R.
        • Carroll M.D.
        • Rifkind B.M.
        • Cleeman J.I.
        • Maurer K.R.
        • Johnson C.L.
        Distributions and trends of serum lipid levels among United States children and adolescents ages 4-19 years: Data from the Third National Health and Nutrition Examination Survey.
        Prev Med. 1998; 27: 879-890
        • Johnson R.K.
        • Driscoll P.
        • Goran M.I.
        Comparison of multiple-pass 24-hour recall estimates of energy intake with total energy expenditure determined by the doubly labeled water method in young children.
        J Am Diet Assoc. 1996; 96: 1140-1144
        • Cohen J.
        Statistical Power Analysis for the Behavioral Sciences.
        Rev. ed. Academic Press, New York, NY1977
        • Millen B.E.
        • Pencina M.J.
        • Kimokoti R.W.
        • Zhu L.
        • Meigs J.B.
        • Ordovas J.M.
        • D'Agostino R.B.
        Nutritional risk and the metabolic syndrome in women: Opportunities for preventive intervention from the Framingham Nutrition Study.
        Am J Clin Nutr. 2006; 84: 434-441
        • McKeown N.M.
        • Meigs J.B.
        • Lui S.
        • Saltzman E.
        • Wilson P.W.F.
        • Jacques P.F.
        Carbohydrate nutrition, insulin resistance, and the prevalence of the metabolic syndrome in the Framingham Offspring Cohort.
        Diabetes Care. 2004; 27: 538-546
        • Ludwig D.
        • Pereira M.
        • Kroenke C.
        • Hilner J.
        • Van Horn L.
        • Slattery M.
        • Jacobs D.
        Dietary fiber, weight gain, and cardiovascular disease risk factors in young adults.
        JAMA. 1999; 282: 1539-1546
        • Steffen L.
        • Jacobs D.
        • Stevens J.
        • Shahar E.
        • Carithers T.
        • Folsom A.
        Associations of whole-grain, refined grain, and fruit and vegetable consumption with risks of all-cause mortality and incident coronary artery disease and ischemic stroke: The Atherosclerosis Risk in Communities (ARIC) Study.
        Am J Clin Nutr. 2003; 78: 383-390
        • Anderson J.W.
        • Hanna T.J.
        Impact of nondigestible carbohydrates on serum lipoproteins and risk for cardiovascular disease.
        J Nutr. 1999; 129: 1457S-1466S
        • Slavin J.L.
        Dietary fiber and body weight.
        Nutrition. 2005; 21: 411-418
        • Alaimo K.M.M.
        • Briefel R.R.
        • Bischof A.M.
        • Caughman C.R.
        • Loria C.M.
        • Johnson C.L.
        Dietary intake of vitamins, minerals, and fiber of persons ages 2 months and over in the United States: Third National Health and Nutrition Examination Survey, Phase 1, 1988-91.
        Advance Data from Vital and Health Statistics. National Center for Health Statistics, Hyattsville, MD1994
      3. Dietary Reference Intakes for Energy, Carbohydrate, Fiber, Fat, Fatty Acids, Cholesterol, Protein and Amino Acids. Institute of Medicine of the National Academies, Washington, DC2003
        • Institute of Medicine, Food and Nutrition Board
        Dietary Reference Intakes for Energy, Carbohydrates, Fiber, Fat, Fatty Acid, Cholesterol, Protein, Amino Acids.
        The National Academies Press, Washington, DC2002
        • Huang T.T.
        • Howarth N.C.
        • Lin B.H.
        • Roberts S.B.
        • McCrory M.A.
        Energy intake and meal portions: Associations with BMI percentile in U.S. children.
        Obes Res. 2004; 12: 1875-1885

      Biography

      E. E. Ventura, C. E. Byrd-Williams, and C. M. Toledo-Corral are research assistants and doctoral students, J. N. Davis is an assistant professor, L. A. Kelly is a research associate, K. E. Alexander is a research assistant, and C. J. Lane is a biostatistician, Department of Preventive Medicine; and W. Lee is a research assistant, Department of Biostatistics; all at the University of Southern California, Keck School of Medicine, Los Angeles.

      Biography

      G. Q. Shaibi is a postdoctoral research fellow, College of Nursing and Healthcare Innovation, Arizona State University, Phoenix.

      Biography

      M. J. Weigensberg is associate professor, Clinical Pediatrics, Keck School of Medicine, University of Southern California, and director, Pediatric Endocrinology, Los Angeles County and University of Southern California Medical Center, Los Angeles.

      Biography

      M. I. Goran is professor of preventive medicine/physiology and biophysics, University of Southern California, Keck School of Medicine, Los Angeles; he is also director, USC Childhood Obesity Research Center (CORC), Los Angeles, CA.