Body mass index as a phenotypic expression of adiposity: quantitative contribution of muscularity in a population-based sample.
OBJECTIVE
Although widely applied as a phenotypic expression of adiposity in population and gene-search studies, body mass index (BMI) is also acknowledged to reflect muscularity even though relevant studies directly measuring skeletal muscle (SM) mass are lacking. The current study aimed to fill this important gap by applying advanced imaging methods to test the hypothesis that, after controlling first for adiposity, SM mass is also a significant determinant of BMI in a population-based sample.


METHODS
Whole-body magnetic resonance imaging scans were completed in Coronary Artery Risk Development in Young Adults study subjects aged 33-45 years. Physical activity (PA) levels, alcohol intake and adequacy of food intake were assessed by standardized questionnaires.


METHODS
The study included 58 African-American (AA) and 78 Caucasian (C) men; and 63 AA and 64 C women.


METHODS
Whole-body adipose tissue (AT) and SM volumes.


RESULTS
AT was significantly predicted by not only BMI, but also PA and alcohol intake with total model R (2)'s of 0.68 (P<0.0001) for men and 0.89 (P<0.0001) for women. Men had more SM than AT at all levels of BMI whereas SM predominated in women at lower BMIs (C<26 kg/m(2); AA<28 kg/m(2)). In men, both AT and SM contributed a similar proportion of between-subject variation in BMI. In contrast, in women AT contributed approximately 30% more than SM to the variation in BMI. Developed allometric models indicated SM associations with AT, PA and race after adjusting for height. There was little association of age, lifestyle factors or race with BMI after controlling for both AT and SM.


CONCLUSIONS
Variation in muscularity provides a mechanistic basis for the previously observed nonspecificity of BMI as a phenotypic expression of adiposity. These quantitative observations have important implications when choosing adiposity measures in population and gene-search studies.
Global Center for Scientific Affairs, Merck & Co., Rahway, NJ, USA. steven_heymsfield@merck.com
S B
SB
Heymsfield
R
R
Scherzer
A
A
Pietrobelli
C E
CE
Lewis
C
C
Grunfeld
D050154:Adiposity / Q000208:ethnology / Q000235:genetics; D000328:Adult; D001741:Black or African American; D000465:Algorithms; D001823:Body Composition / Q000235:genetics; D015992:Body Mass Index; D005260:Female; D006801:Humans; D008279:Magnetic Resonance Imaging; D008297:Male; D008875:Middle Aged; D009043:Motor Activity / Q000235:genetics / Q000502:physiology; D018482:Muscle, Skeletal / Q000033:anatomy & histology*; D010641:Phenotype; D011795:Surveys and Questionnaires; D044465:White People; D051598:Whole Body Imaging