Prevalence of the Metabolic Syndrome in American Adolescents: Findings From the Third National Health and Nutrition Examination Survey
Open accessAbstract
Background— Metabolic syndrome (MetS) is defined by the Third Report of the Adult Treatment Panel (ATP III) using criteria easily applied by clinicians and researchers. There is no standard pediatric definition. Methods and Results— We defined pediatric MetS using criteria analogous to ATP III as ≥3 of the following: (1) fasting triglycerides ≥1.1 mmol/L (100 mg/dL); (2) HDL <1.3 mmol/L (50 mg/dL), except in boys aged 15 to 19 years, in whom the cutpoint was <1.2 mmol/L (45 mg/dL); (3) fasting glucose ≥6.1 mmol/L (110 mg/dL); (4) waist circumference >75th percentile for age and gender; and (5) systolic blood pressure >90th percentile for gender, age, and height. MetS prevalence in US adolescents was estimated with the Third National Health and Nutritional Survey 1988 to 1994. Among 1960 children aged ≥12 years who fasted ≥8 hours, two thirds had at least 1 metabolic abnormality, and nearly 1 in 10 had MetS. The racial/ethnic distribution was similar to adults: Mexican-Americans, followed by non-Hispanic whites, had a greater prevalence of MetS compared with non-Hispanic blacks (12.9%, [95% CI 10.4% to 15.4%]; 10.9%, [95% CI 8.4% to 13.4%]; and 2.5%, [95% CI 1.3% to 3.7%], respectively). Nearly one third (31.2% [95% CI 28.3% to 34.1%]) of overweight/obese adolescents had MetS. Conclusions— Our definition of pediatric MetS, designed to be closely analogous to ATP III, found MetS is common in adolescents and has a similar racial/ethnic distribution to adults in this representative national sample. Because childhood MetS likely tracks into adulthood, early identification may help target interventions to improve future cardiovascular health.
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For diagnosis of metabolic syndrome in children and adolescents, as well as in adults, WC rather than BMI is used as a diagnostic criterion.
“For diagnosis of metabolic syndrome (MS) in children and adolescents, as well as in adults, WC rather than BMI is used as a diagnostic criterion.13-15”
From Reference Values for Waist Circumference and Waist–Height Ratio in Korean Children and Adolescents (2022) · cites this paper as [14]
The Methods and the adult/proposed pediatric definitions table show that ATP III uses waist circumference for adults and that this paper's proposed pediatric definition also uses it, rather than BMI. But the paper says there is no standard pediatric definition and describes another pediatric definition based on BMI, so the claim is too broad if read as applying to pediatric diagnosis generally. The supplied passages have section labels but no page numbers. (LLM, conf=0.86)
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Cites
Cardiovascular Morbidity and Mortality Associated With the Metabolic Syndrome
Isomaa, B., Almgren, P., Tuomi, T., Forsén, B., Lahti, K., Nissén, M., Taskinen, M.-R., & Groop, L. (2001) · Diabetes Care · doi:10.2337/diacare.24.4.683 · Cited by 4,760 · see citing works
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Research works printed but not linked: 17
- Haffner SM, Valdez RA, Hazuda HP, et al. Prospective analysis of the insulin-resistance syndrome (syndrome X). Diabetes. 1992;41:715-722.
- Ford ES, Giles WH, Dietz WH. Prevalence of the metabolic syndrome among US adults: findings from the third National Health and Nutrition Examination Survey. JAMA. 2002;287:356 -359.
- Ronnemaa T, Knip M, Lautala P, et al. Serum insulin and other cardio- vascular risk indicators in children, adolescents and young adults. Ann Med. 1991;23:67-72.
- Cook S, Weitzman M, Auinger P, et al. 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.
- The Lipid Research Clinics Program Epidemiology Committee. Plasma lipid distributions in selected North Am populations: the Lipid Research Clinics Program Prevalence Study. Circulation. 1979;60:427-439.
- Daniels SR, Khoury PR, Morrison JA. Utility of different measures of body fat distribution in children and adolescents. Am J Epidemiol. 2000; 152:1179 -1184.
- Zhu S, Wang Z, Heshka S, et al. Waist circumference and obesity- associated risk factors among whites in the third National Health and Nutrition Examination Survey: clinical action thresholds. Am J Clin Nutr. 2002;76:743-749.
- National High Blood Pressure Education Program Working Group on Hypertension Control in Children and Adolescents. Update on the 1987 Task Force Report on High Blood Pressure in Children and Adolescents: a working group report from the National High Blood Pressure Education Program. Pediatrics. 1996;98:649 -658.
- Pereira MA, Jacobs DR Jr, Van Horn L, et al. Dairy consumption, obesity, and the insulin resistance syndrome in young adults: the CARDIA Study. JAMA. 2002;287:2081-2089.
- Katzmarzyk PT, Perusse L, Malina RM, et al. Stability of indicators of the metabolic syndrome from childhood and adolescence to young adulthood: the Quebec Family Study. J Clin Epidemiol. 2001;54:190 -195.
- Vanhala MJ, Vanhala PT, Keinanen-Kiukaanniemi SM, et al. Relative weight gain and obesity as a child predict metabolic syndrome as an adult. Int J Obes Relat Metab Disord. 1999;23:656 -659.
- Torok K, Szelenyi Z, Porszasz J, et al. Low physical performance in obese adolescent boys with metabolic syndrome. Int J Obes Relat Metab Disord. 2001;25:966 -970.
- Dietz WH. Health consequences of obesity in youth: childhood predictors of adult disease. Pediatrics. 1998;101:518 -525.
- Chu NF, Rimm EB, Wang DJ, et al. Relationship between anthropometric variables and lipid levels among school children: the Taipei Children Heart Study. Int J Obes Relat Metab Disord. 1998;22:66 -72.
- Weiss R, Dziura J, Burgert TS, et al. Obesity and the metabolic syndrome in children and adolescents. N Engl J Med. 2004;350:2362-2374.
- Morrison JA, Sprecher DL, Biro FM, et al. Serum testosterone associates with lower high-density lipoprotein cholesterol in black and white males, 10 to 15 years of age, through lowered apolipoprotein AI and AII concentrations. Metabolism. 2002;51:432-437.
- Acton KJ, Rios Burrows N, Moore K, et al. Trends in diabetes prevalence among American Indian and Alaska native children, adolescents, and young adults. Am J Public Health. 2002;92:1485-1490.
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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., et al. (2005) · Circulation · doi:10.1161/circulationaha.105.169404 · Cited by 11,961 · see citing works
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Writing Group Members, Roger, V. L., Go, A. S., Lloyd-Jones, D. M., Benjamin, E. J., Berry, J. D., Borden, W. B., Bravata, D. M., Dai, S., Ford, E. S., et al. (2012) · Circulation · doi:10.1161/cir.0b013e31823ac046 · Cited by 7,333 · see citing works
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Roger, V. L., Go, A. S., Lloyd-Jones, D. M., Adams, R. J., Berry, J. D., Brown, T. M., Carnethon, M. R., Dai, S., de Simone, G., Ford, E. S., et al. (2011) · Circulation · doi:10.1161/cir.0b013e3182009701 · Cited by 6,149 · see citing works
Heart Disease and Stroke Statistics—2010 Update: A Report From the American Heart Association
WRITING GROUP MEMBERS, Lloyd-Jones, D., Adams, R. J., Brown, T. M., Carnethon, M., Dai, S., De Simone, G., Ferguson, T. B., Ford, E., Furie, K., et al. (2010) · Circulation · doi:10.1161/circulationaha.109.192667 · Cited by 5,700 · see citing works
Heart Disease and Stroke Statistics—2013 Update: A Report From the American Heart Association
Go, A. S., Mozaffarian, D., Roger, V. L., Benjamin, E. J., Berry, J. D., Borden, W. B., Bravata, D. M., Dai, S., Ford, E. S., Fox, C. S., et al. (2013) · Circulation · doi:10.1161/cir.0b013e31828124ad · Cited by 5,292 · see citing works
Rosamond, W., Flegal, K., Friday, G., Furie, K., Go, A., Greenlund, K., Haase, N., Ho, M., Howard, V., Kissela, B., et al. (2007) · Circulation · doi:10.1161/circulationaha.106.179918 · Cited by 3,277 · see citing works
WRITING GROUP MEMBERS, Lloyd-Jones, D., Adams, R., Carnethon, M., De Simone, G., Ferguson, T. B., Flegal, K., Ford, E., Furie, K., Go, A., et al. (2009) · Circulation · doi:10.1161/circulationaha.108.191261 · Cited by 3,140 · see citing works
Cornier, M.-A., Dabelea, D., Hernandez, T. L., Lindstrom, R. C., Steig, A. J., Stob, N. R., Van Pelt, R. E., Wang, H., & Eckel, R. H. (2008) · Endocrine Reviews · doi:10.1210/er.2008-0024 · Cited by 2,162 · see citing works
The metabolic syndrome in children and adolescents ? an IDF consensus report
Zimmet, P., Alberti, K. G. M., Kaufman, F., Tajima, N., Silink, M., Arslanian, S., Wong, G., Bennett, P., Shaw, J., Caprio, S., et al. (2007) · Pediatric Diabetes · doi:10.1111/j.1399-5448.2007.00271.x · Cited by 2,013 · see citing works
Metabolic Syndrome and Risk of Incident Cardiovascular Events and Death
Gami, A. S., Witt, B. J., Howard, D. E., Erwin, P. J., Gami, L. A., Somers, V. K., & Montori, V. M. (2007) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2006.09.032 · Cited by 1,888 · see citing works
Metabolic syndrome: definitions and controversies
Kassi, E., Pervanidou, P., Kaltsas, G., & Chrousos, G. (2011) · BMC Medicine · doi:10.1186/1741-7015-9-48 · Cited by 1,565 · see citing works
Hampl, S. E., Hassink, S. G., Skinner, A. C., Armstrong, S. C., Barlow, S. E., Bolling, C. F., Avila Edwards, K. C., Eneli, I., Hamre, R., Joseph, M. M., et al. (2023) · Pediatrics · doi:10.1542/peds.2022-060640 · Cited by 1,389 · see citing works
Moran, L. J., Misso, M. L., Wild, R. A., & Norman, R. J. (2010) · Human Reproduction Update · doi:10.1093/humupd/dmq001 · Cited by 1,108 · see citing works
Witchel, S. F., Oberfield, S. E., & Peña, A. S. (2019) · Journal of the Endocrine Society · doi:10.1210/js.2019-00078 · Cited by 653 · see citing works
Tavares, L. F., Fonseca, S. C., Garcia Rosa, M. L., & Yokoo, E. M. (2012) · Public Health Nutrition · doi:10.1017/s1368980011001571 · Cited by 328 · see citing works
Impact of Obesity on Cardiac Geometry and Function in a Population of Adolescents
Chinali, M., de Simone, G., Roman, M. J., Lee, E. T., Best, L. G., Howard, B. V., & Devereux, R. B. (2006) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2006.03.004 · Cited by 248 · see citing works
Metabolic Complications of Childhood Obesity
Weiss, R., & Kaufman, F. R. (2008) · Diabetes Care · doi:10.2337/dc08-s273 · Cited by 209 · see citing works
Prodam, F., Ricotti, R., Agarla, V., Parlamento, S., Genoni, G., Balossini, C., Walker, G. E., Aimaretti, G., Bona, G., & Bellone, S. (2013) · BMC Medicine · doi:10.1186/1741-7015-11-44 · Cited by 47 · see citing works
Alghadir, A., Gabr, S., & Iqbal, Z. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17114143 · Cited by 43 · see citing works
Reference Values for Waist Circumference and Waist–Height Ratio in Korean Children and Adolescents
Lee, J., Kang, S.-C., Kwon, O., Hwang, S.-S., Moon, J. S., & Kim, J. (2022) · Journal of Obesity & Metabolic Syndrome · doi:10.7570/jomes22033 · Cited by 33 · see citing works
Ramírez-Vélez, R., Beltrán, C. A., Correa-Bautista, J. E., Vivas, A., Prieto-Benavidez, D. H., Martínez-Torres, J., Triana-Reina, H. R., Villa-González, E., & Garcia-Hermoso, A. (2016) · Italian Journal of Pediatrics · doi:10.1186/s13052-016-0304-1 · Cited by 14 · see citing works
- Authors
- de Ferranti, S. D., Gauvreau, K., Ludwig, D. S., Neufeld, E. J., Newburger, J. W., & Rifai, N.
- Affiliations
- From the Departments of Cardiology (S.D.d.F., K.G., J.W.N.); Medicine, Divisions of Endocrinology (D.S.L.) and Hematology (E.J.N.); and Laboratory Medicine and Pathology (N.R.), Children’s Hospital, Boston, Mass.
- Boston Children's Hospital (US)
- Venue
- Circulation
- Published
- 2004-10-19
- Volume
- 110
- Issue
- 16
- Pages
- 2494-2497
- ISSN
- 0009-7322 (ISSN-L)
- 1524-4539
- OpenAlex
- W2119545138
- Cited by
- 1,123
- References
- 1
- Citations by year
- 2026: 12 · 2025: 30 · 2024: 34 · 2023: 49 · 2022: 41 · 2021: 45 · 2020: 42 · 2019: 34 · 2018: 37 · 2017: 49 · 2016: 55 · 2015: 50 · 2014: 44 · 2013: 62 · 2012: 59
- FWCI
- 34.44
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Circulation (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Charles H. Hood Foundation
- National Institutes of Health (5r01dk059240-04)
- National Heart, Lung, and Blood Institute (HL-04184, T-32 HL07572, T32HL007572)
- National Institute of Diabetes and Digestive and Kidney Diseases (R01DK59240)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diet, Metabolism, and Disease
- Keywords
- metabolic syndrome, adolescents, prevalence, NCEP ATP III criteria, racial and ethnic differences, Mexican Americans, overweight and obesity, cardiovascular risk
- MeSH terms
- Adolescent, Anthropometry, Blood Glucose, Blood Pressure, Child, Ethnicity, Female, Health Surveys, Humans, Lipoproteins, HDL, Male, Obesity, Triglycerides, United States, Prevalence, Metabolic Syndrome
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