Physiology, Body Mass Index (2024)

Introduction

Body mass index (BMI) is the method of utilizing an adult's height and weight to broadlyplacethem into underweight, normal weight, overweight and obese categories.An individual's BMI is important in the determination of potential future health issues and has been widely used as a factor in the determination of various public health policies.BMI can be calculated using metric or imperial (US) units.[1]

Metric units: weight (kilograms) divided by height squared (meters)

  • BMI = kg/m2

Imperial (US) units:weight (pounds) divided by height squared (inches) multiplied by 703

  • BMI = 703 (lbs/in2)

To further discuss BMI and the issues, disease states, and clinicalsignificance, it is important tounderstand the current cut-off points of each category as determined by the World Health Organization (WHO) and the Centers for Disease Control and Prevention (CDC).

World Health Organization

  • Severely Underweight: <16 kg/m2

  • Underweight: 16.0to 18.4 kg/m2

  • Normal weight: 18.5to 24.9 kg/m2

  • Overweight: 25.0to 29.9 kg/m2

  • Moderately Obese: 30.0to34.9 kg/m2

  • Severely Obese: 35.0to 39.9 kg/m2

  • Morbidly Obese: ≥40.0 kg/m2

Centers for Disease Control and Prevention

  • Underweight: less than or equal to 18.4 kg/m2

  • Normal weight: 18.5to24.9 kg/m2

  • Overweight: 25.0to 39.9 kg/m2

  • Obese: ≥40.0 kg/m2

Centers for Disease Control and Prevention Child and Teen BMI (Utilized for those aged 2to 20)

World Health Organization Asian-Population Criteria:[2]

  • Underweight: <18.5 kg/m2

  • Normal weight: 18.5to 23.0 kg/m2

  • Overweight: 23.0to 27.5 kg/m2

  • Obese: ≥27.5 kg/m2[2]

Issues of Concern

BMI can indicate the relative amount of body fat on an individual'sframe but does not directly calculate body fat percentage. BMI tends to overestimate body fat inthosewith a lean body mass (eg, athletes or bodybuilders) and underestimates excess body fat in those with an increased body mass.

Individuals with abdominal (visceral) obesity are at a greater risk of acquiring multiple pathological conditions and have a higher morbidity and mortality rate.[3] However, BMI has no way to account for this variable.In the calculation of BMI, height is squared to reduce the contribution of leg length in taller people, as most body mass remains within the trunk. Of concern is that with this normalization, the equation distributes equal mass to each height level, which subtracts from the utility of BMI in studies of differing body types.[1]

It is alsoessential tounderstand that BMI has limited value in evaluating bodyweight health in people of short stature and does not account for differencesin body types betweenmen and women. One study of 13,601 subjects found that BMI-defined obesity (BMI ≥30 kg/m2) was present in 31% of women and 21% of men, while body fat-defined obesity was found in 62% of women and 50% of men. This study showed that BMI-defined obesity is highly specific (99% for women and 95% for men) but shows poor sensitivity (49% for women and 36% for men). Simply put, this studydemonstrated that BMI is beneficial when determining a patient to be obese but can give false data when determining a patient not to be obese.[4]

In the elderly population, being overweight is not associated with increased mortality risk. Instead, there is an increased mortality risk for those elderly individuals with a BMI at the low end of the recommended BMI range (BMI <23.0 kg/m2). That said,clinicians mustimmediatelyaddress unexplained weight loss within this population toidentifypotentially modifiable causes.[5]

As weight fluctuates within the critically ill population (typically decreased weight), it is not useful to utilize the BMI of these patients to guide treatment options or future outcomes.

Several studies have shown that Asian populationsexhibita higher overall body fat and increased cardiovascular risk factors at lower BMI values than white populations.[6]The WHO has addressed this issue and has recommended modified cut-off points for BMI categories in Asian populations. These cut-off points were discussed in the prior section.

Cellular Level

Literature has shownassociations between BMI and cancer growth at a cellular level and association with other disease states.[7]Clinicians know thatincreased BMI influences numerous disease states, withongoing research beingperformed to define the pathophysiology of such conditions. Bellows et al worked on the association of BMI on progenitor cells in the article, Influence of BMI on Level of Circulating Progenitor Cells. The study evaluated mesenchymal stromal progenitor cells and circulating progenitor cells in healthy participants with a BMI less than 30 and healthy participants with a BMI greater than 30. Theresearchers found a 5-fold increase in the circulating progenitor cells in the group with the larger BMI. This study was done to elaborate onprior studies that showed increased white blood cells and associations with neoplasms in obese populations. Progenitor cells are needed for a favorable tumor environment, and tumors require angiogenesis and vasculogenesis to progress. When white adipose tissue mobilizes progenitor cells, they are recruited by the tumor to support cancer growth. Colorectal cancer has beencommonly used to study this phenomenon.[8]

Many studies have also shown a link between increased BMI and insulin resistance. One such study was performed by Preethi et al on healthy men aged 18to 25, titledBody Mass Index a Better Predictor of Insulin Resistance than Waist Circumference in Normoglycemics. The participant's BMIs and waist-hip circumference ratios were calculated, after which theyunderwenta 2-hour glucose test. As the study title indicates, BMI had a statistically significant higher correlation with insulin resistance.[9]

At the cellular level, an increase in BMI will likely increase stored energy and adipocytes. With 10 kilograms of excess weight, there is a 10to 30% increase in beta cell mass, leading to an increase in insulin secretion.[10]An increase in insulin secretion leads to a down-regulation of insulin receptors, ultimately causing insulin resistance and, eventually, diabetes.

Development

Lambert Adolphe Jacques Quetelet, a Belgian-born sociologist, astronomer, and mathematician, is responsible for developing the Body Mass Index. In the mid-19th century, Quetelet was searching for a way to relate an individual's height to their ideal weight as a tool for studying populations. The quotient was first cited in 1972 in the Journal of Chronic Diseases. The article discussed BMI as a valuable tool in population studies, or "social physics," as Quetelet called it, andmentioned that this measurement was not useful for studying an individual; however, due to the simplicity of the equation, it remains the most commonly used anthropometric analysis.

Other anthropometric assessments require measurements of an individual's body. These numbers are less reliable than BMI because they can change depending on the measurement's location. BMI relies on the scale's accuracy used to weigh an individual and can be comparatively referred to as an objective evaluation. For these reasons, a quotient developed in the mid-1800s is widely utilized in the 21st century.[11]

Organ Systems Involved

It isgenerallyunderstood that an increased BMI places an individual at significant risk of developing hypertension, hyperlipidemia, and diabetes, all risk factors for coronary heart disease.[12]

In the respiratory system, an increased BMI is most commonly associated with obesity hypoventilation syndrome (OHS), caused by intra-abdominal pressure and increased body weight inhibiting the physiologic movements of the lungs. OHS causesindividuals to feel short of breath, leading them to take short, quick breaths, increasing therisk of acquiring atelectasis. Increased BMI is also associated with obstructive sleep apnea (OSA), which may lead to excessive fatigue, pulmonary hypertension, and abnormal heart rhythms.[12]

In the gastrointestinal (GI) system, increased BMI has been associated withgallbladder disease and colon cancer. In addition, increased body fat leads to increased abdominal pressure pushing against the cardiac sphincter in the stomach, which allows gastric contents to be regurgitated into the esophagus, leading to gastroesophageal reflux disease (GERD).[13]

An increase in BMI has also been linked to the development of liverdisease. Fatty deposition within the liver, known as non-alcoholic steatohepatitis (NASH), is one of the leading causes of liver failure in the United States. Fat accumulation within the liver causes inflammation, injury, and scarring.[13]

Obese individuals typically have increased adipose tissue hypertrophy, leading to endocrine dysregulation and insulin resistance. Insulin resistance increases triglycerides, serum glucose, and blood pressure, increasing the risk of cardiovascular disease and type 2 diabetes mellitus. Excess adipose tissue leads to insulin resistance by releasing excess free fatty acids.[14]

An overweight or obese BMImay also affect the integumentary system. The increase in adipose tissue increases inflammation within the dermis, a risk factor for developing immune-mediated hidradenitis suppurativa. This increasedpro-inflammatory state seen in obesity has also been linked with the development of psoriasis. On the other end of the spectrum, a lower than normal BMImay cause dry, thickened dermis, less exfoliation, and fine hair growth, known as lanugo.[15]

BMI also affects the genitourinary system. Multiple studies have found that acutely ill patients with an obese BMI are more likely to develop acute kidney injury (AKI), which is associated with increased short- and long-term mortality.[16]In addition, excess weight demonstrates a linear relationship with the risk of developing chronic kidney disease (CKD) and end-stage renal disease (ESRD). Obesity has also been shown to cause a specific proteinuric obesity-related glomerulopathy (ORG), the incidence of which is increasing within the United States as the obesity epidemic continues to grow.An obese BMI is also associated with increased prevalence and incidence of nephrolithiasis (kidney stones), specifically uric acid stones. Female urinary incontinence is also strongly associated with obesity.[17]

An increasedBMI has been directly related todecreased reproductive function. The current literature has demonstrated that women with a BMI >30 kg/m2 have a higher incidence of anovulation/subfertility. Obesity has also been shown to strongly influence reproductive cancers, including neoplasms of the breast, prostate, endometrial lining, and ovaries.[18]

Significantreproductive issues are common among young women with an obese BMI. In obesity, there is an increased peripheral aromatization of androgen to estrogens. Via negative feedback, this increase in estrogen leads to a decrease in gonadotropin-releasing hormone (GnRH), which leads to irregular or anovulatory cycles.Research has also found that obese women arethree to four times more likely to experience menstrual dysfunction than those with a normal BMI.[19]

Obesity in men may also lead to reproductive dysfunction. The increase in adipocytes increases pro-inflammatory cytokines and reactive oxygen species, leading to sperm DNA fragmentation.There have also been suggestions that the sperm of obese men have altered epigenetic content, and the seminal fluidexhibits altered endocrine content, both of which canimpactearly fetal development.[20]

Related Testing

When individuals are categorized as obese,additional testing should be performed. Forthose with a BMI greater than 30 kg/m2, a fasting lipid panel, thyroid function tests, liver function tests, fasting glucose, and hemoglobin A1c should always be performed.Forindividuals with a BMI less than 18 kg/m2, thyroid level, comprehensive metabolic panel, psychiatric screening for aneating disorder, and malabsorption conditions should be assessed. Screening for malignancy should be performed if a patient experiences rapid and unintentionalweight loss.

Clinical Significance

Clinicians need to understand the concept of BMI due to its wide clinical use as a stratification measure in many treatment guidelines.[1]For the primary care provider, knowing a patient's current BMI can assist in further preventative care and maintenance, including elevated cholesterol workup and management, diabetes screening, thyroid screening,diet and exercise counseling, and more.

A sudden, unintentional drop in BMI can alert the provider to an eating disorder, possible malignancy, or malabsorption disease. In other practice settings, such as surgical clinics, BMI is often used to predict recovery time following surgery and calculatethe risk of a patient acquiring soft tissue infections and other post-surgical complications. While BMI can help aid in a patient's care, each providershould aim to treat the patient, not the number. For example, ifa patient seems to have agreater than average muscle content, it may be worth measuring body fat percentage and not treating based on BMI.

Figure

Body mass index (BMI) chart Contributed from BMI chart. Wikimedia Commons. https://commons.wikimedia.org/wiki/File:Bmi-chart_colored.gif#filelinks. (CC By-SA 4.0 https://creativecommons.org/licenses/by-sa/4.0/deed.en)

References

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Nuttall FQ. Body Mass Index: Obesity, BMI, and Health: A Critical Review. Nutr Today. 2015 May;50(3):117-128. [PMC free article: PMC4890841] [PubMed: 27340299]

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WHO Expert Consultation. Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet. 2004 Jan 10;363(9403):157-63. [PubMed: 14726171]

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Shuster A, Patlas M, Pinthus JH, Mourtzakis M. The clinical importance of visceral adiposity: a critical review of methods for visceral adipose tissue analysis. Br J Radiol. 2012 Jan;85(1009):1-10. [PMC free article: PMC3473928] [PubMed: 21937614]

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Romero-Corral A, Somers VK, Sierra-Johnson J, Thomas RJ, Collazo-Clavell ML, Korinek J, Allison TG, Batsis JA, Sert-Kuniyoshi FH, Lopez-Jimenez F. Accuracy of body mass index in diagnosing obesity in the adult general population. Int J Obes (Lond). 2008 Jun;32(6):959-66. [PMC free article: PMC2877506] [PubMed: 18283284]

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Winter JE, MacInnis RJ, Wattanapenpaiboon N, Nowson CA. BMI and all-cause mortality in older adults: a meta-analysis. Am J Clin Nutr. 2014 Apr;99(4):875-90. [PubMed: 24452240]

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Misra A. Ethnic-Specific Criteria for Classification of Body Mass Index: A Perspective for Asian Indians and American Diabetes Association Position Statement. Diabetes Technol Ther. 2015 Sep;17(9):667-71. [PMC free article: PMC4555479] [PubMed: 25902357]

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Stone TW, McPherson M, Gail Darlington L. Obesity and Cancer: Existing and New Hypotheses for a Causal Connection. EBioMedicine. 2018 Apr;30:14-28. [PMC free article: PMC5952217] [PubMed: 29526577]

8.

Bellows CF, Zhang Y, Chen J, Frazier ML, Kolonin MG. Circulation of progenitor cells in obese and lean colorectal cancer patients. Cancer Epidemiol Biomarkers Prev. 2011 Nov;20(11):2461-8. [PMC free article: PMC5470315] [PubMed: 21930958]

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Sikaris KA. The clinical biochemistry of obesity. Clin Biochem Rev. 2004 Aug;25(3):165-81. [PMC free article: PMC1880830] [PubMed: 18458706]

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Camastra S, Vitali A, Anselmino M, Gastaldelli A, Bellini R, Berta R, Severi I, Baldi S, Astiarraga B, Barbatelli G, Cinti S, Ferrannini E. Publisher Correction: Muscle and adipose tissue morphology, insulin sensitivity and beta-cell function in diabetic and nondiabetic obese patients: effects of bariatric surgery. Sci Rep. 2018 May 22;8(1):8177. [PMC free article: PMC5962565] [PubMed: 29784999]

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Lichtash CT, Cui J, Guo X, Chen YD, Hsueh WA, Rotter JI, Goodarzi MO. Body adiposity index versus body mass index and other anthropometric traits as correlates of cardiometabolic risk factors. PLoS One. 2013;8(6):e65954. [PMC free article: PMC3679008] [PubMed: 23776578]

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Calle EE, Thun MJ, Petrelli JM, Rodriguez C, Heath CW. Body-mass index and mortality in a prospective cohort of U.S. adults. N Engl J Med. 1999 Oct 07;341(15):1097-105. [PubMed: 10511607]

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Halsted CH. Obesity: effects on the liver and gastrointestinal system. Curr Opin Clin Nutr Metab Care. 1999 Sep;2(5):425-9. [PubMed: 10589386]

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Poddar M, Chetty Y, Chetty VT. How does obesity affect the endocrine system? A narrative review. Clin Obes. 2017 Jun;7(3):136-144. [PubMed: 28294570]

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Ozlu E, Uzuncakmak TK, Takır M, Akdeniz N, Karadag AS. Comparison of cutaneous manifestations in diabetic and nondiabetic obese patients: A prospective, controlled study. North Clin Istanb. 2018;5(2):114-119. [PMC free article: PMC6191549] [PubMed: 30374476]

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Danziger J, Chen KP, Lee J, Feng M, Mark RG, Celi LA, Mukamal KJ. Obesity, Acute Kidney Injury, and Mortality in Critical Illness. Crit Care Med. 2016 Feb;44(2):328-34. [PMC free article: PMC4715729] [PubMed: 26496453]

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Morandi A, Maffeis C. Urogenital complications of obesity. Best Pract Res Clin Endocrinol Metab. 2013 Apr;27(2):209-18. [PubMed: 23731882]

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Jungheim ES, Travieso JL, Carson KR, Moley KH. Obesity and reproductive function. Obstet Gynecol Clin North Am. 2012 Dec;39(4):479-93. [PMC free article: PMC3520133] [PubMed: 23182555]

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Dağ ZÖ, Dilbaz B. Impact of obesity on infertility in women. J Turk Ger Gynecol Assoc. 2015;16(2):111-7. [PMC free article: PMC4456969] [PubMed: 26097395]

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Chambers TJ, Richard RA. The impact of obesity on male fertility. Hormones (Athens). 2015 Oct-Dec;14(4):563-8. [PubMed: 26732149]

Disclosure: Asia Zierle-Ghosh declares no relevant financial relationships with ineligible companies.

Disclosure: Arif Jan declares no relevant financial relationships with ineligible companies.

Physiology, Body Mass Index (2024)
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