Hood 2019 Nutr Diabetes: Difference between revisions
No edit summary |
No edit summary |
||
Line 20: | Line 20: | ||
[[File:MfH Hood 2019 Nutr Diabetes.png|left|600px|thumb|'''Figure 1''': Body mass as a function of height | [[File:MfH Hood 2019 Nutr Diabetes.png|left|600px|thumb|'''Figure 1''': Body mass as a function of height. The full lines show the allometric relation of the [[healthy reference population]] with body mass ''M''Β° (BMEΒ°=0.0; green), at a body mass excess of BME=0.2 (''M''<sub>0.2</sub>=1.2''M''Β°; orange), and at BME=-0.1 (''M''<sub>-0.1</sub>=0.9''M''Β°; blue). Symbols are from Table 1 of Hood et al (2019) with the years of measurement in parentheses. Healthy and active adult males (15β54 years) were studied in 34 tribal populations from 14 of the 29 states of India (''N''=5549) and nontribal populations in each state (''N''=38331) from 1965 to 1970 and from 2005 to 2006. The dashed line connects the average of 5089 women and 3849 men of South Korea collected from 2007β2009 (KNHANES IV) and 2010β2012 (KNHANES V).]] | ||
{{Labeling | {{Labeling |
Revision as of 20:10, 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, Wβ=Ξ±HΞ², where W is weight (kg) and H is height (m) was performed on cross-sectional weight and height data from India (Nβ=β43,880) 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 (Nβ=β5,549). 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 Ξ²β=β2.08 (sβ=β0.02). The power for the general population (non-tribal) was Ξ²β=β2.11 (sβ=β0.02). Powers when adjusted for tribe ranged from 1.87 to 2.35 with 24 of the 33 tribes resulting in statistically significant (pβ<β0.05) 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 BMIβ=β21βkg/m2 (AUCβ=β0.89) for males 18βkg/m2 (AUCβ=β0.97) for females. Obesity classification was calculated as BMIβ=β26βkg/m2 (AUCβ=β0.81) and 23βkg/m2 (AUCβ=β0.83) 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.
β’ 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