Hood 2019 Nutr Diabetes: Difference between revisions
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ย ''Work in progress'' by [[Gnaiger E]] 2020-02-03 linked to a preprint in preparation on [[body mass excess |'''BME''']] and [[:Category:BME and mitObesity |'''mitObesity''']]. | ย ''Work in progress'' by [[Gnaiger E]] 2020-02-03 linked to a preprint in preparation on [[body mass excess |'''BME''']] and [[:Category:BME and mitObesity |'''mitObesity''']]. | ||
[[File:MfH Hood 2019 Nutr Diabetes.png|left|600px|thumb|'''Figure 1''': Body mass as a function of height. Symbols are from Table 1 of Hood et al (2019) with number of persons in parentheses. The dashed line connects the average of women and men from South Korea from the studies from 2007โ2009 (KNHANES IV) and 2010โ2012 (KNHANES V). Healthy and active adult males (18โ84 years) of India were studied 1965 to 1970 and from 2005 to 2006. The full lines show the allometric relation of the [[healthy reference population]] in green, and at a body mass excess BME=0.2 (''M''<sub>0.2</sub>=1.2''M''ยฐ) and BME=-0.1 (''M''<sub>-0.1</sub>=0.9''M''ยฐ).]] | |||
{{Labeling | {{Labeling |
Revision as of 15:02, 3 February 2020
Hood K, Ashcraft J, Watts K, Hong S, Choi W, Heymsfield SB, Gautam RK, Thomas D (2019) Allometric scaling of weight to height and resulting body mass index thresholds in two Asian populations. Nutr Diabetes 9:2. doi: 10.1038/s41387-018-0068-3. |
Hood K, Ashcraft J, Watts K, Hong S, Choi W, Heymsfield SB, Gautam RK, Thomas D (2019) Nutr Diabetes
Abstract: BACKGROUND: Body mass index (BMI) represents a normalization of weight to height and is used to classify adiposity. While the capacity of BMI as an adiposity index has been experimentally validated in Caucasians, but there has been little testing Asian populations.
METHODS: To determine whether weight scales to height squared in Asian Indians across the general population and in Asian Indian tribes an allometric analysis on the power law model, Wโ=ฮฑHฮฒ, where W is weight (kg) and H is height (m) was performed on cross-sectional weight and height data from India (Nโ=โ43,880) collected through the Anthropological Survey of India. The database contained males 18-84 years of age spanning 161 districts of 14 states and including 33 different tribes (Nโ=โ5,549). Models were developed that were unadjusted and adjusted for tribe membership. The Korean National Health and Nutrition Examination Survey (KNHANES) was used to compare to height-weight data from the Anthropological Survey of India and to calculate BMI thresholds for obesity status using a receiver operating characteristic.
RESULTS: The unadjusted power was ฮฒโ=โ2.08 (sโ=โ0.02). The power for the general population (non-tribal) was ฮฒโ=โ2.11 (sโ=โ0.02). Powers when adjusted for tribe ranged from 1.87 to 2.35 with 24 of the 33 tribes resulting in statistically significant (pโ<โ0.05) differences in powers from the general population. The coefficients of the adjusted terms ranged from -0.22 to 0.26 and therefore the scaling exponent does not deviate far from 2. Thresholds for BMI classification of overweight in the KNHANES database were BMIโ=โ21โkg/m2 (AUCโ=โ0.89) for males 18โkg/m2 (AUCโ=โ0.97) for females. Obesity classification was calculated as BMIโ=โ26โkg/m2 (AUCโ=โ0.81) and 23โkg/m2 (AUCโ=โ0.83) for females.
CONCLUSIONS: Our study confirms that weight scales to height squared in Asian Indian males even after adjusting for tribe membership. We also demonstrate that optimal BMI thresholds are lower in a Korean population in comparison to currently used BMI thresholds. These results support the application of BMI in Asian populations with potentially lower thresholds.
โข Bioblast editor: Gnaiger E
From BMI to BME
Work in progress by Gnaiger E 2020-02-03 linked to a preprint in preparation on BME and mitObesity.
Labels: MiParea: Gender, Exercise physiology;nutrition;life style
Pathology: Obesity
Organism: Human
Preparation: Intact organism
BMI, BMI-cutoff, BME