title: Differences between brain mass and body weight scaling to height: potential mechanism of reduced mass-specific resting energy expenditure of taller adults.
abstract: Adult resting energy expenditure (REE) scales as height( approximately 1.5), whereas body weight (BW) scales as height( approximately 2). Mass-specific REE (i.e., REE/BW) is thus lower in tall subjects compared with their shorter counterparts, the mechanism of which is unknown. We evaluated the hypothesis that high-metabolic-rate brain mass scales to height with a power significantly less than that of BW, a theory that if valid would provide a potential mechanism for height-related REE effects. The hypothesis was tested by measuring brain mass on a large (n = 372) postmortem sample of Thai men. Since brain mass-body size relations may be influenced by age, the hypothesis was secondarily explored in Thai men age < or =45 yr (n = 299) and with brain magnetic resonance imaging (MRI) studies in Korean men (n = 30) age > or =20<30 yr. The scaling of large body compartments was examined in a third group of Asian men living in New York (NY, n = 28) with MRI and dual-energy X-ray absorptiometry. Brain mass scaled to height with a power (mean +/- SEE; 0.46 +/- 0.13) significantly smaller (P < 0.001) than that of BW scaled to height (2.36 +/- 0.19) in the whole group of Thai men; brain mass/BW scaled negatively to height (-1.94 +/- 0.20, P < 0.001). Similar results were observed in younger Thai men, and results for brain mass/BW vs. height were directionally the same (P = 0.09) in Korean men. Skeletal muscle and bone scaled to height with powers similar to that of BW (i.e., approximately 2-3) in the NY Asian men. Models developed using REE estimates in Thai men suggest that brain accounts for most of the REE/BW height dependency. Tall and short men thus differ in relative brain mass, but the proportions of BW as large compartments appear independent of height, observations that provide a potential mechanistic basis for related differences in REE and that have implications for the study of adult energy requirements.
authors.affiliation: Merck Research Laboratories, Rahway, NJ 07065-0900, USA. steven_heymsfield@merck.com
authors.forename: Steven B
authors.initials: SB
authors.lastname: Heymsfield
authors.forename: Thamrong
authors.initials: T
authors.lastname: Chirachariyavej
authors.forename: Im Joo
authors.initials: IJ
authors.lastname: Rhyu
authors.forename: Chulaporn
authors.initials: C
authors.lastname: Roongpisuthipong
authors.forename: Moonseong
authors.initials: M
authors.lastname: Heo
authors.forename: Angelo
authors.initials: A
authors.lastname: Pietrobelli
mesh_terms: D015502:Absorptiometry, Photon; D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D044466:Asian People; D001344:Autopsy; D001823:Body Composition; D001827:Body Height; D001835:Body Weight; D001921:Brain / Q000033:anatomy & histology*; D004734:Energy Metabolism; D006801:Humans; D007723:Korea; D008279:Magnetic Resonance Imaging; D008297:Male; D008875:Middle Aged; D008954:Models, Biological; D009518:New York; D009929:Organ Size; D013785:Thailand; D055815:Young Adult