9780521350242-0521350247-Worldwide Variation in Human Growth

Worldwide Variation in Human Growth

ISBN-13: 9780521350242
ISBN-10: 0521350247
Edition: Subsequent
Author: James M. Tanner, Phyllis B. Eveleth
Publication date: 1991
Publisher: Cambridge University Press
Format: Hardcover 412 pages
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Book details

ISBN-13: 9780521350242
ISBN-10: 0521350247
Edition: Subsequent
Author: James M. Tanner, Phyllis B. Eveleth
Publication date: 1991
Publisher: Cambridge University Press
Format: Hardcover 412 pages

Summary

Worldwide Variation in Human Growth (ISBN-13: 9780521350242 and ISBN-10: 0521350247), written by authors James M. Tanner, Phyllis B. Eveleth, was published by Cambridge University Press in 1991. With an overall rating of 4.3 stars, it's a notable title among other Biology (Biological Sciences, Physical, Anthropology) books. You can easily purchase or rent Worldwide Variation in Human Growth (Hardcover) from BooksRun, along with many other new and used Biology books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

The health of a population is most accurately reflected in the rate of growth of its children. This theme, prevalent in this book, underlies the analysis and presentation of what is by far the largest compilation of growth data ever assembled in one source. The first edition, published in 1976, included all known reliable recent results on height, weight, skinfolds, and other body measurements from all parts of the globe. In this edition, numerous subsequent measurements taken between 1976 and 1988 have been included, as well as the results of a large number of new studies made on rate of maturation as evinced by bone age and pubertal development stages. Many sections of the book dwell on disentangling the effects of the environment and heredity on growth, and attempt to answer the question of whether one universal standard suffices for all peoples of the world or whether different populations (such as races or nations) should each have their own optimal growth standards.

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