Cited by 349Diabetes, Cardiovascular Risks, and LipoproteinsObesity, Physical Activity, DietBody Composition Measurement Techniques

Misclassification of cardiometabolic health when using body mass index categories in NHANES 2005–2012

Tomiyama, A J, Hunger, J M, Nguyen-Cuu, J, Wells, C·2016·International Journal of Obesity

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  • In a study of 40,420 US persons aged >18 years, modeled results suggested that >70 million US adults would be misclassified as cardiometabolically healthy or unhealthy by BMI.

    “In a study of 40,420 persons aged >18 years in the US, researchers used nutritional status measures, including cholesterol and glucose, to determine whether subjects were at risk of cardiometabolic health disease by comparing their predictive values with BMI; modeled results suggested that >70 million US adults would be misclassified as cardiometabolically healthy or unhealthy by BMI [52].”
  • Basing an obesity diagnosis solely on BMI can be inaccurate and may incur discriminatory and costly patient consequences.

    “Basing an obesity diagnosis solely on BMI can be inaccurate and may incur discriminatory and costly patient consequences, as when employers increase employees’ health insurance costs if the BMI is above a given threshold [52].”

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References 20 · Cited by 349

Research works printed but not linked: 12

  1. 1 Catenacci VA, Hill JO, Wyatt HR. The obesity epidemic. Clin Chest Med 2009; 30 : 415 -444.
  2. 3 Wildman RP, Muntner P, Reynolds K, McGinn AP, Rajpathak S, Wylie-Rosett J et al. The obese without cardiometabolic risk factor clustering and the normal weight with cardiometabolic risk factor clustering: Prevalence and correlates of 2 phenotypes among the US population (NHANES 1999-2004). Arch Intern Med 2008; 168 : 1617 -1624.
  3. 5 Tannenbaum D, Valasek CJ, Knowles ED, Ditto PH. Incentivizing wellness in the workplace: Sticks (not carrots) send stigmatizing signals. Psychol Sci 2013; 24 : 1512 -1522.
  4. 6 Hunger JM, Major B, Blodorn A, Miller C. Weighed down by stigma: How weight-based social identity threat in fl uences weight gain and health. Soc Psychol Personal Compass 2015; 9 : 255 -268.
  5. 7 Harrington M, Gibson S, Cottrell RC. A review and meta-analysis of the effect of weight loss on all-cause mortality risk. Nutr Res Rev 2009; 22 : 93 -108.
  6. 12 Phelan SM, Burgess DJ, Yeazel MW, Hellerstedt WL, Grif fi n JM, van Ryn M. Impact of weight bias and stigma on quality of care and outcomes for patients with obesity. Obes Rev 2015; 16 : 319 -326.
  7. 13 Friedemann Smith C, Heneghan C, Ward A. Moving focus from weight to health. What Are the components used in interventions to improve cardiovascular health in children? PLoS One 2015; 10 : e0135115.
  8. 14 Hunger JM, Tomiyama AJ. A call to shift the public health focus away from weight. Am J Public Health 2015; 105 : e3 -e3.
  9. 16 Ortega FB, Lee D-C, Katzmarzyk PT, Ruiz JR, Sui X, Church TS et al. The intriguing metabolically healthy but obese phenotype: Cardiovascular prognosis and role of fi tness. Eur Heart J 2013; 34 : 389 -397.
  10. 17 Barry VW, Baruth M, Beets MW, Durstine JL, Liu J, Blair SN. Fitness vs. fatness on all-cause mortality: A meta-analysis. Prog Cardiovasc Dis 2014; 56 : 382 -390.
  11. 19 Plourde G, Karelis AD. Current issues in the identi fi cation and treatment of metabolically healthy but obese individuals. Nutr Metab Cardiovasc Dis 2014; 24 : 455 -459.
  12. 20 Must A, Phillips SM, Naumova EN. Occurrence and timing of childhood overweight and mortality: Findings from the Third Harvard Growth Study. J Pediatr 2012; 160 : 743 -750.

Authors
Tomiyama, A. J., Hunger, J. M., Nguyen-Cuu, J., & Wells, C.
Affiliations
  • University of California, Los Angeles (US)
  • University of California, Santa Barbara (US)
Corresponding author
Tomiyama, A J
Venue
International Journal of Obesity
Published
2016-02-04
Volume
40
Issue
5
Pages
883-886
ISSN
  • 0307-0565 (ISSN-L)
  • 1476-5497
OpenAlex
W2302257680
Cited by
349
References
20
Citations by year
2026: 24 · 2025: 31 · 2024: 36 · 2023: 51 · 2022: 39 · 2021: 26 · 2020: 31 · 2019: 28 · 2018: 41 · 2017: 27 · 2016: 14
FWCI
36.75
Type
journal article
Language
en
Open access
closed
Locations
  • International Journal of Obesity (publishedVersion)
  • PubMed (publishedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
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 › Physiology › Body Composition Measurement Techniques
Keywords
cardiometabolic health, body mass index, metabolically healthy obesity, overweight, obesity, Equal Employment Opportunity Commission, sex differences, racial differences, NHANES, C-reactive protein, insulin resistance, serum lipids, blood glucose
MeSH terms
Adult, Cardiovascular Diseases, Female, Humans, Insurance, Health, Male, Nutrition Surveys, Obesity, United States, Bias, Body Mass Index, Insurance Coverage, Metabolic Syndrome, Electronic Health Records

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