Body roundness index
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Body roundness index (BRI) is a calculated geometric index used to quantify an aspect of a person's individual body shape. Based on the principle of body eccentricity, it provides a rapid visual and anthropometric tool for health evaluation.[1]
Introduced in 2013, the BRI calculation can be used to estimate total and visceral body fat. Ranges of healthy body roundness have been established to accurately classify people with healthy fat mass (weight) compared to obese people who are at risk for morbidities.[1]
Compared to traditional metrics, such as the body mass index (BMI), (which uses weight and height), BRI may improve predictions of the amount of body fat and the volume of visceral adipose tissue. Despite its common use, BMI can misclassify individuals as obese because it does not distinguish between a person's lean body mass and fat mass. Instead, BRI quantifies body girth as well as height, potentially providing more accurate estimates of fat mass.
BRI scores range from 1 to 16, with most people between 1 and 10, although people with scores of 6.9 and up – indicating wider, rounder bodies – were found to have a risk of all-cause mortality that was increased by up to 49% compared to people having a medium BRI of 5.[2][3] In a 2020 review, high BRI was associated with increased risk of metabolic syndrome and several other diseases.[4]
Typical American adult BRI values range from 3 or less (midsection leanness) to 7 or more (midsection roundness), with a medium index of about 5.[1][3] As a relatively newer predictive metric, BRI has a smaller research record compared to established indices like the BMI, waist-to-hip ratio indicating its accuracy and uses remain to be fully established in clinical research. Conversely, the simple waist-to-height ratio (which uses the same measurements) has a better research base, leading to its adoption as the preferred guideline in some countries.
History
[edit]BRI was first reported in 2013 by the mathematician Diana Thomas and colleagues in an analysis of three databases from studies of demographics, anthropometrics, fat mass, and visceral fat volume.[1][2] Thomas visualized the human body shape as an egg or ellipse rather than as a cylinder envisioned in the concept of the BMI.[1][2]
The degree of circularity of an ellipse is quantified by eccentricity, with values between 0 to 1, where 0 is a perfect circle and 1 is a vertical line.[1] To accommodate human shape data in a greater range, Thomas and colleagues mapped eccentricity in a range of 1 to 20 by using the equation:[1]
Body Roundness Index = 364.2 − 365.5 × Eccentricity
Range of body roundness
[edit]Body roundness shapes vary across a range of people who are lean (BRI less than 3) to severely obese (BRI more than 12).[1] According to the authors who developed BRI and subsequent research, overlap between adjacent BRI categories may occur.[1][3]
Calculation
[edit]1. | h: the subject's height, c: waist circumference. |
2. | A cylinder with the same height and circumference. |
3. | e: eccentricity of the largest ellipse fitting its side view. |
The BRI models the human body shape as an ellipse (an oval), with the intent to relate body girth with height to determine body roundness. A simple tape measure suffices to obtain waist circumference and height.
An automatic calculator computes the BRI using waist, height and an ellipse factor.[1][2] The only device needed to determine BRI is a measuring tape for circumference of waist and determination of height.[1][2] These values are factored with an eccentricity equation in a calculator.[1][2]
BRI is calculated as 364.2 − 365.5 × √(1 − [waist circumference / (2π)]2 / [0.5 × height2) which simplifies as follows.
Waist circumference and height can be in any unit of length, as long as they both use the same one.[1][3]
Predictions of % total body fat and % visceral adipose tissue apply a different eccentricity equation using waist and hip circumferences, age, height, gender, ethnicity, and body weight as inputs.[1]
Relationship to other anthropometric indices
[edit]In using human body and fat mass data from the United States National Health and Nutrition Examination Survey (NHANES) database, the Thomas group found that BRI never was a negative value, and that larger BRI values were associated with people having a round shape, while shape values closer to 1 were related to people with narrow, lean bodies.[1] The maximum observed BRI value in the NHANES data was 16.[1][3]
BRI had similar accuracy in predicting percentage body fat and percentage fat volume as existing indices, such as the BMI.[1] As the conventional index associated with obesity research, the BMI has numerous drawbacks, as it is unable to distinguish between muscle and fat, is inaccurate in predicting body fat percentage, and has poor ability to predict the risk of heart attack, stroke or death.[1][5]
In a comparison study with BMI and five other metrics – a body shape index, conicity index, body adiposity index, waist–hip ratio, and abdominal volume index (AVI) – BRI and AVI proved most effective at predicting risk of developing nonalcoholic fatty liver disease (NAFLD).[6] BRI and AVI also accurately stratified diagnosis of NAFLD by race, age, and gender.[6]
Clinical research
[edit]The BRI has proved effective as an index for identifying risk of death from different diseases,[3] disorders of metabolic syndrome,[4][5][7] liver disease,[6] cardiovascular diseases in association with sarcopenia,[8] and bone mineral density.[9] BRI was also a better indicator than the BMI and body shape index for predicting the risk of hypertension, dyslipidemia, and hyperuricemia in Chinese women.[5]
Limitations
[edit]Other indices of body and fat mass, such as BMI and waist-to-height ratio, have undergone more research evaluation and longitudinal clinical applications than BRI, and may be better predictors of fat distribution (e.g., visceral vs. subcutaneous fat) for estimating health risks.[10][11]
Two measurements of the BRI – waist circumference and hip circumference – are subject to high variability in standing obese people.[1] Such variability may indicate differences in fat distribution in people with excessive visceral fat, causing errors in BRI.[1][3]
Diagnostic factors for diseases associated with obesity, such as ethnicity, family history, dietary habits, and physical activity, are not factored into the BRI, or are other outcomes, such as organ health status and duration of disease.[3][7]
See also
[edit]- Allometry – Study of the relationship of body size to shape, anatomy, physiology, and behavior
- Body_shape_index – Human health index
- Classification of obesity – Overview of the classification of the condition of obesity
- Corpulence index – Measure of leanness (corpulence) of a person
- History of anthropometry – Historical uses of anthropometry
- Normal weight obesity – Metabolically obese normal weight
- Relative fat mass – Ratio-based formula for estimating obesity in humans
- Waist–hip ratio – Waist measurement divided by hip measurement
- Waist-to-height ratio – Waist circumference divided by height
References
[edit]- ^ a b c d e f g h i j k l m n o p q r s t Thomas DM, Bredlau C, Bosy-Westphal A, et al. (November 2013). "Relationships between body roundness with body fat and visceral adipose tissue emerging from a new geometrical model". Obesity. 21 (11): 2264–71. doi:10.1002/oby.20408. PMC 3692604. PMID 23519954.
- ^ a b c d e f Rabin RC (6 September 2024). "Time to Say Goodbye to the B.M.I.?". The New York Times. Retrieved 21 September 2024.
- ^ a b c d e f g h Zhang X, Ma N, Lin Q, et al. (June 2024). "Body roundness index and all-cause mortality among US adults". JAMA Network Open. 7 (6): e2415051. doi:10.1001/jamanetworkopen.2024.15051. PMC 11154161. PMID 38837158.
- ^ a b Rico-Martín S, Calderón-García JF, Sánchez-Rey P, et al. (July 2020). "Effectiveness of body roundness index in predicting metabolic syndrome: A systematic review and meta-analysis". Obesity Reviews. 21 (7): e13023. doi:10.1111/obr.13023. PMID 32267621.
- ^ a b c Tian S, Zhang X, Xu Y, et al. (August 2016). "Feasibility of body roundness index for identifying a clustering of cardiometabolic abnormalities compared to BMI, waist circumference and other anthropometric indices: the China Health and Nutrition Survey, 2008 to 2009". Medicine. 95 (34): e4642. doi:10.1097/MD.0000000000004642. PMC 5400331. PMID 27559964.
- ^ a b c Tian X, Ding N, Su Y, et al. (October 2023). "Comparison of Obesity-Related Indicators for Nonalcoholic Fatty Liver Disease Diagnosed by Transient Elastography". The Turkish Journal of Gastroenterology. 34 (10): 1078–1087. doi:10.5152/tjg.2023.23101. PMC 10645279. PMID 37737216.
- ^ a b Liu Y, Liu X, Guan H, et al. (2021). "Body Roundness Index Is a Superior Obesity Index in Predicting Diabetes Risk Among Hypertensive Patients: A Prospective Cohort Study in China". Frontiers in Cardiovascular Medicine. 8: 736073. doi:10.3389/fcvm.2021.736073. PMC 8638826. PMID 34869638.
- ^ Zhang X, Ding L, Hu H, et al. (2023). "Associations of Body-Roundness Index and Sarcopenia with Cardiovascular Disease among Middle-Aged and Older Adults: Findings from CHARLS". The Journal of Nutrition, Health & Aging. 27 (11): 953–959. doi:10.1007/s12603-023-2001-2. PMID 37997715.
- ^ Ding Z, Zhuang Z, Tang R, et al. (2024). "Negative association between Body Roundness Index and bone mineral density: insights from NHANES". Frontiers in Nutrition. 11: 1448938. doi:10.3389/fnut.2024.1448938. PMC 11340502. PMID 39176032.
- ^ Zhang X, Li G, Shi C, et al. (May 2023). "Comparison of conventional and unconventional obesity indices associated with new-onset hypertension in different sex and age populations". Scientific Reports. 13 (1): 7776. Bibcode:2023NatSR..13.7776Z. doi:10.1038/s41598-023-34969-0. PMC 10182979. PMID 37179428.
- ^ Islam T, Chowdhuryb AT, Sirajb S (October 2024). "Anthropometric indices in predicting 10-year cardiovascular risk among males and females aged 40–74 years in south and southeast Asia: analysis of 12 WHO STEPS survey data". The Lancet Regional Health, Southeast Asia. 29: 100481. doi:10.1016/j.lansea.2024.100481. PMC 11418002. PMID 39315383.