The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Metabolic Syndrome in Normal-Weight Americans
Abstract
OBJECTIVE—To determine the prevalence rates and likelihood of the metabolic syndrome and its individual components in normal-weight and slightly overweight individuals (BMI 18.5–26.9 kg/m2). RESEARCH DESIGN AND METHODS—There were a total of 7,602 adult participants of the Third National Health and Nutrition Examination Survey, a nationally representative cross-sectional survey. Prevalence and odds ratios (ORs) of the metabolic syndrome, defined according to National Cholesterol Education Program Adult Treatment Panel III criteria, were computed according to 2.0- to 2.5-unit increments in BMI. RESULTS—Depending on ethnicity and sex, the prevalence of the metabolic syndrome increased in a graded fashion from 0.9–3.0% at BMI 18.5–20.9 kg/m2 to 9.6–22.5% at BMI 25.0–26.9 kg/m2. Compared with men with BMI 18.5–20.9 kg/m2, the odds for the metabolic syndrome were 4.13 (95% CI 1.57–10.87) for men with BMI 21–22.9 kg/m2, 5.35 (2.41–11.86) for men with BMI 23–24.9 kg/m2, and 9.08 (4.23–19.52) for men with BMI 25–26.9 kg/m2 after controlling for age, ethnicity, education, income, physical activity, smoking status, and alcohol and total fat, saturated fat, carbohydrate, and fiber intakes. The corresponding ORs in women were 4.34 (2.08–9.07), 7.77 (3.95–15.26), and 17.34 (9.29–32.38). CONCLUSIONS—Individuals in the upper normal-weight and slightly overweight BMI range have a relatively high prevalence and are at increased risk of having the metabolic syndrome. Therefore, screening in individuals with normal or slightly elevated BMI is important in the prevention of diabetes and cardiovascular disease.
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Mensink, R. P., Zock, P. L., Kester, A. D., & Katan, M. B. (2003) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/77.5.1146 · Cited by 2,811
Harris, M. I., Flegal, K. M., Cowie, C. C., Eberhardt, M. S., Goldstein, D. E., Little, R. R., Wiedmeyer, H.-M., & Byrd-Holt, D. D. (1998) · Diabetes Care · doi:10.2337/diacare.21.4.518 · Cited by 2,703
Park, Y.-W., Zhu, S., Palaniappan, L., Heshka, S., Carnethon, M. R., & Heymsfield, S. B. (2003) · Archives of Internal Medicine · doi:10.1001/archinte.163.4.427 · Cited by 2,074
Self-citationObesity, Fat Distribution, and Weight Gain as Risk Factors for Clinical Diabetes in Men
Chan, J. M., Rimm, E. B., Colditz, G. A., Stampfer, M. J., & Willett, W. C. (1994) · Diabetes Care · doi:10.2337/diacare.17.9.961 · Cited by 1,808
Weight, Weight Change, and Coronary Heart Disease in Women: Risk Within the 'Normal' Weight Range
Willett, W. C. (1995) · JAMA · doi:10.1001/jama.1995.03520300035033 · Cited by 924
Laaksonen, D. E. (2002) · American Journal of Epidemiology · doi:10.1093/aje/kwf145 · Cited by 916 · cited 1×
“The metabolic syndrome is a constellation of diabetes (3), hypertension, and dyslipidemia risk factors that are easily and routinely assessed by physicians.”
BackgroundComparisons of waist circumferences measured at 4 sites
Wang, J., Thornton, J. C., Bari, S., Williamson, B., Gallagher, D., Heymsfield, S. B., Horlick, M., Kotler, D., Laferrère, B., Mayer, L., et al. (2003) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/77.2.379 · Cited by 567
Self-citationDvorak, R. V., DeNino, W. F., Ades, P. A., & Poehlman, E. T. (1999) · Diabetes · doi:10.2337/diabetes.48.11.2210 · Cited by 243 · cited 1×
“(21) noted greater total, abdominal subcutaneous, and visceral fat and lower physical activity energy expenditure in MONW women despite similar age, BMI, and fat-free mass.”
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Cited by
Pathophysiology of human visceral obesity: an update
Tchernof, A., & Després, J.-P. (2013) · Physiological Reviews · doi:10.1152/physrev.00033.2011 · Cited by 2,583
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
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
Caleyachetty, R., Thomas, G. N., Toulis, K. A., Mohammed, N., Gokhale, K. M., Balachandran, K., & Nirantharakumar, K. (2017) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2017.07.763 · Cited by 574
Evidence-based nutritional approaches to the treatment and prevention of diabetes mellitus
Mann, J. I., De Leeuw, I., Hermansen, K., Karamanos, B., Karlström, B., Katsilambros, N., Riccardi, G., Rivellese, A. A., Rizkalla, S., Slama, G., et al. (2004) · Nutrition, Metabolism and Cardiovascular Diseases · doi:10.1016/s0939-4753(04)80028-0 · Cited by 527
Metadata
- Authors
- St-Onge, M.-P., Janssen, I., & Heymsfield, S. B.
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 2004-09-01
- Volume
- 27
- Issue
- 9
- Pages
- 2222-2228
- ISSN
- 0149-5992 (ISSN-L)
- 1935-5548
- OpenAlex
- W2126103887
- Cited by
- 307
- References
- 8
- FWCI
- 12.97
- Type
- journal article
- Language
- en
- Open access
- closed
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