Literature DB >> 19726135

Human allometry: adult bodies are more nearly geometrically similar than regression analysis has suggested.

Richard F Burton1.   

Abstract

It is almost a matter of dogma that human body mass in adults tends to vary roughly in proportion to the square of height (stature), as Quetelet stated in 1835. As he realised, perfect isometry or geometric similarity requires that body mass varies with height cubed, so there seems to be a trend for tall adults to be relatively much lighter than short ones. Much evidence regarding component tissues and organs seems to accord with this idea. However, the hypothesis is presented that the proportions of the body are actually very much less size-dependent. Past evidence has mostly been obtained by least-squares regression analysis, but this cannot generally give a true picture of the allometric relationships. This is because there is considerable scatter in the data (leading to a low correlation between mass and height) and because neither variable causally determines the other. The relevant regression equations, though often formulated in logarithmic terms, effectively treat the masses as proportional to (body height)(b). Values of b estimated by regression must usually underestimate the true functional values, doing so especially when mass and height are poorly correlated. It is therefore telling support for the hypothesis that published estimates of b both for the whole body (which range between 1.0 and 2.5) and for its component tissues and organs (which vary even more) correlate with the corresponding correlation coefficients for mass and height. There is no simple statistical technique for establishing the true functional relationships, but Monte Carlo modelling has shown that the results obtained for total body mass are compatible with a true height exponent of three. Other data, on relationships between body mass and the girths of various body parts such as the thigh and chest, are also more consistent with isometry than regression analysis has suggested. This too is demonstrated by modelling. It thus seems that much of anthropometry needs to be re-evaluated. It is not suggested that all organs and tissues scale equally with whole body size.

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Year:  2009        PMID: 19726135     DOI: 10.1016/j.mehy.2009.08.009

Source DB:  PubMed          Journal:  Med Hypotheses        ISSN: 0306-9877            Impact factor:   1.538


  5 in total

1.  Relations between body mass, height, fat mass, and waist circumference in American and Korean men and women.

Authors:  Richard F Burton
Journal:  Am J Clin Nutr       Date:  2015-03       Impact factor: 7.045

Review 2.  Why are there race/ethnic differences in adult body mass index-adiposity relationships? A quantitative critical review.

Authors:  S B Heymsfield; C M Peterson; D M Thomas; M Heo; J M Schuna
Journal:  Obes Rev       Date:  2015-12-11       Impact factor: 9.213

3.  Novel Echocardiographic Indices for Assessing the Left Main Coronary Artery in Children With Kawasaki Disease.

Authors:  Elaheh Malakan Rad; Iran Malekzadeh; Vahid Ziaee; Raheleh Rajabi; Zohreh Shahabi
Journal:  Iran J Pediatr       Date:  2016-08-01       Impact factor: 0.364

4.  Human bipedalism and body-mass index.

Authors:  Su Do Yi; Jae Dong Noh; Petter Minnhagen; Mi-Young Song; Tae-Soo Chon; Beom Jun Kim
Journal:  Sci Rep       Date:  2017-06-16       Impact factor: 4.379

5.  Allometric scaling of weight to height and resulting body mass index thresholds in two Asian populations.

Authors:  Karoline Hood; Jacob Ashcraft; Krista Watts; Sangmo Hong; Woong Choi; Steven B Heymsfield; Rajesh K Gautam; Diana Thomas
Journal:  Nutr Diabetes       Date:  2019-01-09       Impact factor: 5.097

  5 in total

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