 Body Mass Index
"Body Mass Index" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
An indicator of body density as determined by the relationship of BODY WEIGHT to BODY HEIGHT. BMI=weight (kg)/height squared (m2). BMI correlates with body fat (ADIPOSE TISSUE). Their relationship varies with age and gender. For adults, BMI falls into these categories: below 18.5 (underweight); 18.5-24.9 (normal); 25.0-29.9 (overweight); 30.0 and above (obese). (National Center for Health Statistics, Centers for Disease Control and Prevention)
| Descriptor ID |
D015992
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| MeSH Number(s) |
E01.370.600.115.100.125 E05.041.124.125 G07.100.100.125 N06.850.505.200.100.175
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| Concept/Terms |
Body Mass Index- Body Mass Index
- Index, Body Mass
- Quetelet Index
- Index, Quetelet
- Quetelet's Index
- Quetelets Index
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Below are MeSH descriptors whose meaning is more general than "Body Mass Index".
Below are MeSH descriptors whose meaning is more specific than "Body Mass Index".
This graph shows the total number of publications written about "Body Mass Index" by people in this website by year, and whether "Body Mass Index" was a major or minor topic of these publications.
To see the data from this visualization as text, click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 2004 | 0 | 1 | 1 | | 2005 | 0 | 4 | 4 | | 2006 | 0 | 1 | 1 | | 2008 | 0 | 1 | 1 | | 2009 | 0 | 2 | 2 | | 2010 | 0 | 5 | 5 | | 2011 | 0 | 4 | 4 | | 2012 | 0 | 6 | 6 | | 2013 | 1 | 7 | 8 | | 2014 | 4 | 10 | 14 | | 2015 | 2 | 8 | 10 | | 2016 | 3 | 5 | 8 | | 2017 | 3 | 6 | 9 | | 2018 | 0 | 7 | 7 | | 2019 | 0 | 4 | 4 |
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Below are the most recent publications written about "Body Mass Index" by people in Profiles.
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Jacob SA, Williams DD, Boyd J, Dileepan K, Tsai SL. Variations in Morning Serum Cortisol Levels Based on Sex and Pubertal Status. Horm Res Paediatr. 2019; 92(3):162-168.
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Kyler KE, Bettenhausen JL, Hall M, Hampl S. Prevalence and Trends in Obesity Among Hospitalized Children. Hosp Pediatr. 2019 11; 9(11):897-902.
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Davis AM, Canter KS, Pina K. The importance of fathers in pediatric research: These authors are on to something important. Transl Behav Med. 2019 05 16; 9(3):570-572.
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Davis AM, Beaver G, Dreyer Gillette M, Nelson EL, Fleming K, Swinburne Romine R, Sullivan DK, Lee R, Pettee Gabriel K, Dean K, Murray M, Faith M. iAmHealthy: Rationale, design and application of a family-based mHealth pediatric obesity intervention for rural children. Contemp Clin Trials. 2019 03; 78:20-26.
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Ries D, Carriquiry A, Shook R. Modeling energy balance while correcting for measurement error via free knot splines. PLoS One. 2018; 13(8):e0201892.
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Porter RM, Tindall A, Gaffka BJ, Kirk S, Santos M, Abraham-Pratt I, Gray J, Heckler D, Ward WL, Tucker JM, Sweeney B. A Review of Modifiable Risk Factors for Severe Obesity in Children Ages 5 and Under. Child Obes. 2018 10; 14(7):468-476.
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Lalan S, Jiang S, Ng DK, Kupferman F, Warady BA, Furth S, Mitsnefes MM. Cardiometabolic Risk Factors, Metabolic Syndrome, and Chronic Kidney Disease Progression in Children. J Pediatr. 2018 11; 202:163-170.
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Sgambat K, Roem J, Mitsnefes M, Portale AA, Furth S, Warady B, Moudgil A. Waist-to-height ratio, body mass index, and cardiovascular risk profile in children with chronic kidney disease. Pediatr Nephrol. 2018 09; 33(9):1577-1583.
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Tripicchio GL, Ammerman AS, Ward DS, Faith MS, Truesdale KP, Burger KS, Dean K, Dumenci L, Davis A. Clinical-Community Collaboration: A Strategy to Improve Retention and Outcomes in Low-Income Minority Youth in Family-Based Obesity Treatment. Child Obes. 2018 04; 14(3):141-148.
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Shook RP, Hand GA, O'Connor DP, Thomas DM, Hurley TG, Hébert JR, Drenowatz C, Welk GJ, Carriquiry AL, Blair SN. Energy Intake Derived from an Energy Balance Equation, Validated Activity Monitors, and Dual X-Ray Absorptiometry Can Provide Acceptable Caloric Intake Data among Young Adults. J Nutr. 2018 03 01; 148(3):490-496.
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