Classification of obesity

Source: Wikipedia, the free encyclopedia.
Obesity and BMI
A front and side view of a morbidly obese male torso. Stretch marks of the skin are visible along with gynecomastia.
An obese male with a body mass index of 53 kg/m2: weight 182 kg (400 lb), height 185 cm (6 ft 1 in)

Obesity classification is a ranking of

body fat has accumulated to the extent that it has an adverse effect on health.[1] The World Health Organization (WHO) classifies obesity by body mass index (BMI). BMI is further evaluated in terms of fat distribution via the waist–hip ratio and total cardiovascular risk factors.[2][3] In children, a healthy weight varies with age and sex, and obesity determination is in relation to a historical normal group.[4]

Background

body fat has accumulated to the extent that it has an adverse effect on health.[1] Relative weight[clarification needed] and body mass index (BMI) are nearly identical and are reasonable estimates of body fatness as measured by percentage body fat.[5] However, BMI does not account for the wide variation in body fat distribution, and may not correspond to the same degree of fatness or associated health risk in different individuals and populations.[6][7][3] Other measurements of fat distribution include the waist–hip ratio and body fat percentage. Normal weight obesity is a condition of having normal body weight, but high body fat percentages with the same health risks of obesity.[8][9] BMI can be used to predict the risk of metabolic abnormalities like diabetes.[10]

Measurements

BMI

Body mass index or BMI is a simple and widely used method for estimating body fat mass.

pregnant women.[13] A formula combining BMI, age, and gender can be used to estimate a person's body fat percentage to an accuracy of 4%.[14] An alternative method, body volume index (BVI), is being developed by Mayo Clinic in an effort to better take into account different body shapes.[15]
BVI measures body fat distribution and calculates the BVI number, based on these results. This BVI number is an indication of weight associated health risk.

Category[16] BMI (kg/m2)
Underweight < 18.5
Normal weight 18.5 – 24.9
Overweight 25.0 – 29.9
Obese (Class I) 30.0 – 34.9
Obese (Class II) 35.0 – 39.9
Obese (Class III) ≥ 40.0

BMI is calculated by dividing the subject's mass by the square of their height, typically expressed either in

US "Customary"
units:

Metric:
US/Customary and
imperial
:

The most commonly used definitions, established by the World Health Organization (WHO) in 1997 and published in 2000, provide the values listed in the table at right.[17]

Some modifications to the WHO definitions have been made by particular bodies. The surgical literature breaks down class III obesity into further categories, though the exact values are still disputed.[18]

  • Any BMI ≥ 35 is severe obesity
  • A BMI of ≥ 40 is morbid obesity
  • A BMI of ≥ 50 is extreme obesity

As Asian populations develop negative health consequences at a lower BMI than Western populations, some nations have redefined obesity. The Japanese have defined obesity as any BMI greater than 25[19] while China defines it as any BMI of greater than 28.[20]

The BMI-based definition is easy to use and it is particularly convenient for statistical purposes, since it only depends on two commonly measured quantities, one's height and weight. However, it ignores variations between individuals in amounts of lean body mass, particularly

NFL players are classified as "obese" (BMI ≥ 30), and 1 in 4 are classified as "extremely obese" (BMI ≥ 35), according to the BMI metric.[21] However, their mean body fat percentage, 14%, is well within what is considered a healthy range.[22]

The preferred obesity metric in scholarly circles is the body fat percentage (BF%) - the ratio of the total weight of person's fat to his or her body weight, and BMI is viewed merely as a way to approximate BF%.[23] Levels in excess of 32% for women and 25% for men are generally considered to indicate obesity. Sumo wrestlers may be categorized by BMI as "severely obese" or "very severely obese" but many Sumo wrestlers are not categorized as obese when body fat percentage is used instead (having <25% body fat).[24] Some Sumo wrestlers were found to have no more body fat than a non-Sumo comparison group, with high BMI values resulting from their high amounts of lean body mass.[24] However, accurate measurement of body fat percentage is much more difficult than measurement of BMI. Several methods of varying accuracy and complexity exist.

Other proposed but less common obesity measures include

central obesity, characterized by excess deposits of fat in the abdominal region and inside peritoneal cavity. They have been shown to be comparable to BMI in their power to predict the risk of metabolic abnormalities such as type II diabetes,[10] and possibly superior to BMI as predictors of cardiovascular disease.[25]

Waist circumference and waist–hip ratio

In the United States a waist circumference of >102 cm (≈40") in men and >88 cm (≈34.5") in women[26] or the waist–hip ratio (the circumference of the waist divided by that of the hips) of >0.9 for men and >0.85 for women are used to define central obesity.[27]

In the European Union waist circumference of ≥ 94 cm(≈37") in men and ≥ 80 cm(≈31.5") in non pregnant women are used as cut offs for central obesity.[28]

A lower cut off of 90 cm has been recommended for South Asian and Chinese men, while a cut off of 85 cm has been recommended for Japanese men.[28]

In those with a BMI under 35, intra-abdominal body fat is related to negative health outcomes independent of total body fat.[29] Intra-abdominal or visceral fat has a particularly strong correlation with cardiovascular disease.[27] In a study of 15,000 people, waist circumference also correlated better with metabolic syndrome than BMI.[30] Women with abdominal obesity have a cardiovascular risk similar to that of men.[31] In people with a BMI over 35, measurement of waist circumference however adds little to the predictive power of BMI as most individuals with this BMI have abnormal waist circumferences.[32]

Body Volume Index

The Body Volume Index (BVI) is a novel method for calculating body fat distribution. Human body volumes and body volume ratios and their links to body compositions have been researched for several years.[33][34] Later the term Body Volume Index (BVI) instead of ratio was introduced by Select Research and Mayo Clinic, BVI has been developed as an alternative to BMI.[35][36] BMI doesn't account for muscle and fat distribution, or gender, or ethnicity; and therefore is not an accurate measure of obesity in many individuals. BVI uses 3D technology to analyse overall body shape, identifying where fat is distributed across the body.[37]

Body Volume means the composition of a person and their body parts; each part of a person's body (arms, legs, chest, etc.) has its own 3D shape, individual weight and measurement. An increase in the volume of fat and muscle normally corresponds with an increase or decrease of volume in that area of the body. BVI calculates a person's body fat composition from two images taken front and side on. A silhouette is extracted from these images and a 3D model created, from which detailed linear and volume measurements can be calculated. By comparing the 3D models to MRI data, BVI software is able to calculate fat distribution, and in particular visceral fat accumulated near the individual's organs. The results will provide accurate measurements for waist and hip circumferences, waist to hip ratio, total body fat, visceral fat and BVI number.

The BVI Number has been designed by Mayo Clinic as an alternative to the BMI number. It provides an indication of health risk based on fat distribution with a particular emphasis on visceral fat; which is located around organs. Visceral fat is metabolically active, with high levels a known risk factor for metabolic disease which includes cardiovascular disease[38] and diabetes type II.[39]

Body fat percentage

visceral fat and negligible subcutaneous fat instead.[40]

Body fat percentage is total body fat expressed as a percentage of total body weight. There is no generally accepted definition of obesity based on total body fat. Most researchers have used >25% in men, and >30% in women, as cut-points to define obesity,[41] but the use of these values have been disputed.[42]

As by anthropometric methods, body fat percentage can be estimated from a person's BMI by the following formula:[43]

where gender (sex) is 0 if female and 1 if male to account for the lower body fat percentage of men.

There are many other methods used to determine body fat percentage.

skinfold test, in which a pinch of skin is precisely measured to determine the thickness of the subcutaneous fat layer.[45] The other is bioelectrical impedance analysis which uses electrical resistance. Bioelectrical impedance has not been shown to provide an advantage over BMI.[44]

Body fat percentage measurement techniques used mainly for research include

dual energy X-ray absorptiometry (DEXA).[29] These techniques provide very accurate measurements, but it can be difficult to obtain in the severely obese due to weight limits of most equipment and insufficient diameter of many CT or MRI scanners.[46]

Childhood obesity

The healthy BMI range varies with the age and sex of the child. Obesity in children and adolescents is defined as a BMI greater than the 95th percentile.[47] The reference data that these percentiles are based on is from 1963 to 1994 and thus has not been affected by the recent increases in rates of obesity.[48]

Childhood obesity has reached epidemic proportions in the 21st century with rising rates in both the developed and developing world.[citation needed] Rates of obesity in Canadian boys have increased from 11% in the 1980s to over 30% in the 1990s, while during this same time period rates increased from 4 to 14% in Brazilian children.[49]

As with obesity in adults many different factors contribute to the rising rates of childhood obesity. Changing diet and decreasing physical activity are believed to be the two most important in causing the recent increase in the rate of obesity. Activities from self-propelled transport, to school physical education, and organized sports has been declining in many countries.[50]

Because childhood obesity often persists into adulthood, and is associated with numerous chronic illnesses, it is important that children who are obese be tested for

fatty liver.[51]

Treatments used in children are primarily lifestyle interventions and behavioral techniques. Medications are not FDA approved for use in this age group.[49]

See also

References

  1. ^ a b WHO 2000 p. 6
  2. PMID 17963490
    .
  3. ^ a b NHLBI p.xiv
  4. Center for disease control and prevention
    . Retrieved 6 April 2009.
  5. PMID 2037859
    .
  6. ^ WHO 2000, p. 7
  7. PMID 17963490
    .
  8. ^ Normal Weight Obesity: An Emerging Risk Factor for Heart and Metabolic Problems. Mayo Clinic. March 27, 2008.
  9. ^ Katherine Zeratsky, R.D., L.D.. Normal weight obesity: A hidden health risk?: Can you be considered obese if you have a normal body weight? Mayo Clinic - Obesity Expert Answers. Aug. 5, 2009. Retrieved 2010-1-25.
  10. ^
    PMID 17494056
    .
  11. .
  12. ^ Quetelet LAJ (1871). Antropométrie ou Mesure des Différences Facultés de l'Homme. Brussels: Musquardt.
  13. ^ NHLBI p.60
  14. ^ Seidell 2005 p.3
  15. ^ Romero-Corral, A. Somers, V. Lopez-Jimenez, F. Korenfeld, Y. Palin, S. Boelaert, K. Boarin, S. Sierra-Johnson, J. Rahim, A. (2008) 3-D Body Scanner, Body Volume Index: A Novel, Reproducible and Automated Anthropometric Tool Associated with Cardiometabolic Biomarkers Obesity A Research Journal 16 (1) 266-P
  16. ^ The SuRF Report 2 (PDF). The Surveillance of Risk Factors Report Series (SuRF). World Health Organization. 2005. p. 22.
  17. ^ WHO 2000 p.9
  18. PMID 17399752
    .
  19. .
  20. .
  21. ^ "Many NFL Players Fatter Than Couch Potatoes".
  22. ^ "NFL Players Not at Increased Heart Risk: Study finds they showed no more signs of cardiovascular trouble than general male population".
  23. ^ Jacob C Seidell; Katherine M Flegal (1997). "Assessing obesity: classification and epidemiology" (PDF). British Medical Bulletin.
  24. ^ .
  25. .
  26. .
  27. ^ .
  28. ^ .
  29. ^ a b U.S. Preventive Services Task Force Evidence Syntheses (2000). HSTAT: Guide to Clinical Preventive Services, 3rd Edition: Recommendations and Systematic Evidence Reviews, Guide to Community Preventive Services.
  30. PMID 14985210
    .
  31. .
  32. ^ National Heart, Lung and Blood Institute. (1998). Morbidity and Mortality: 1998 Chartbook of Cardiovascular, Lung and Blood Diseases. Bethesda, MD: National Institutes of Health. P61
  33. ^ Wells JC, Douros I, Fuller NJ, Elia M, Dekker L. Assessment of body volume using three-dimensional photonic scanning. Ann N Y Acad Sci. 2000 May;904:247-54. doi: 10.1111/j.1749-6632.2000.tb06460.x. PMID 10865749.
  34. ^ Olivares J, Wang J, Yu W, et al. Comparisons of body volumes and dimensions using three-dimensional photonic scanning in adult Hispanic-Americans and Caucasian-Americans. J Diabetes Sci Technol. 2007;1(6):921-928. doi:10.1177/193229680700100619
  35. ^ "Week in Review: May 5". Insights. 2017-05-05. Archived from the original on 2019-05-07. Retrieved 2019-05-07.
  36. ^ "About BVI". Archived from the original on 2018-06-20. Retrieved 2018-06-20.
  37. ^ Abd Tahran. (2008) "Body volume index: time to replace body mass index?" Endocrine Abstracts 15 P104
  38. ^ Van Gaal LF. (2006) "Mechanisms linking obesity with cardiovascular disease". hypertension and diabetes type II. 14;444(7121):875-80.
  39. ^ Kahn SE et al. (2006) Mechanisms linking obesity to insulin resistance and type 2 diabetes. Nature. 2006 Dec 14;444(7121):840-6.
  40. S2CID 205964850
    .
  41. .
  42. .
  43. ^ How to Convert BMI to Body Fat Percentage. By Jessica Bruso with reference to a study published in the International Journal of Obesity and Related Metabolic Disorders in 2002. July 18, 2017.
  44. ^ a b NICE 2006 p.36
  45. ^ Jebb and Wells 2005 p. 16.
  46. ^ Jebb and Wells 2005 p.20
  47. Center for disease control and prevention
    . Retrieved April 6, 2009.
  48. PMID 11382664
    .
  49. ^ .
  50. .
  51. ^ Fennoy I (October 1, 2008). "Childhood Obesity, Part 1: Weight Evaluation and Comorbidity Screening". Consultant for Pediatricians. Archived from the original on August 4, 2009. Retrieved October 21, 2009.
Bibliography