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In order to gain an understanding of the dynamics of human individual and average growth patterns it is essential that the right methods are selected. There are a variety of methods available to analyse individual growth patterns, to estimate variation in different growth measures in populations and to relate genetic and environmental factors to individual and average growth. This volume provides an overview of modern techniques for the assessment and collection of growth data and methods of analysis for individual and population growth data. The book contains the basic mathematical and statistical tools required to understand the concepts of the methods under discussion and worked examples of analyses, but it is neither a mathematical treatise, nor a recipe book for growth data analysis. Aimed at junior and senior researchers involved in the analysis of human growth data, this book will be an essential reference for anthropologists, auxologists and paediatricians.
Offering a study of biological, biomedical and biocultural approaches, this book is suitable for researchers, professors and graduate students across the interdisciplinary area of human development. It is presented in the form of lectures to facilitate student programming.
Assuming that the earliest human ancestors grew more like apes than current-day humans, when, how and why did our modern growth pattern evolve? Covering growth patterns within available Plio-Pleistocene Hominids, including juvenile fossil specimens, and individuals assigned to the newest species, Homo antecessor, this book provides a rich data source for anthropologists and evolutionary biologists exploring these questions.
A comprehensive and accessible summary of human growth and development for students and professionals alike.
Statistical Analysis of Human Growth and Development is an accessible and practical guide to a wide range of basic and advanced statistical methods that are useful for studying human growth and development. Designed for nonstatisticians and statisticians new to the analysis of growth and development data, the book collects methods scattered throughout the literature and explains how to use them to solve common research problems. It also discusses how well a method addresses a specific scientific question and how to interpret and present the analytic results. Stata is used to implement the analyses, with Stata codes and macros for generating example data sets, a detrended Q-Q plot, and weighted maximum likelihood estimation of binary items available on the book’s CRC Press web page. After reviewing research designs and basic statistical tools, the author discusses the use of existing tools to transform raw data into analyzable variables and back-transform them to raw data. He covers regression analysis of quantitative, binary, and censored data as well as the analysis of repeated measurements and clustered data. He also describes the development of new growth references and developmental indices, the generation of key variables based on longitudinal data, and the processes to verify the validity and reliability of measurement tools. Looking at the larger picture of research practice, the book concludes with coverage of missing values, multiplicity problems, and multivariable regression. Along with two simulated data sets, numerous examples from real experimental and observational studies illustrate the concepts and methods. Although the book focuses on examples of anthropometric measurements and changes in cognitive, social-emotional, locomotor, and other abilities, the ideas are applicable to many other physical and psychosocial phenomena, such as lung function and depressive symptoms.
Humans have become much taller and heavier, and experience healthier and longer lives than ever before in human history. However it is only recently that historians, economists, human biologists and demographers have linked the changing size, shape and capability of the human body to economic and demographic change. This fascinating and groundbreaking book presents an accessible introduction to the field of anthropometric history, surveying the causes and consequences of changes in health and mortality, diet and the disease environment in Europe and the United States since 1700. It examines how we define and measure health and nutrition as well as key issues such as whether increased longevity contributes to greater productivity or, instead, imposes burdens on society through the higher costs of healthcare and pensions. The result is a major contribution to economic and social history with important implications for today's developing world and the health trends of the future.
