Anthropometric and Mass Distribution Characteristics of the Adult Female. Revised

Abstract

This study of 46 living adult females is part of a long-range research program designed to establish valid analytical relationships between readily measured body dimensions and mass distribution characteristics of living populations. Presented in this report are data describing the mass distribution characteristics of primary and composite body segments. The report also contains sets of regression equations which can be used to predict segmental volumes and moments of inertia from anthropometric data. The data base is derived from both classical anthropometric measurements and from stereophotogrammetric techniques. Subjects were representative of a general United States population as defined by the 1971-74 Public Health Service, Health and Nutrition Examination Survey (HANES). The data obtained describe segment and segment composite volumes, centers of volume, intersegment cut centroids, principal inertial axes, and surface anatomical landmarks with respect to anatomical axes developed for each segment. Experiments designed to test the validity of research techniques and controls, and to measure the differences between stereophoto-metrically derived values and values obtained by direct measurement techniques are also described here.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1983
Accession Number
ADA143096

Entities

People

  • Clyde C. Snow
  • Gregory F. Zehner
  • Joseph W. Young
  • Kathleen M. Robinette
  • Richard F. Chandler

Organizations

  • Federal Aviation Administration

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Arm Bones
  • Biomedical Research
  • Body Regions
  • Cartilage
  • Computer Programs
  • Coordinate Systems
  • Data Analysis
  • Databases
  • Health Services
  • Measurement
  • Regression Analysis
  • Skull
  • Spinal Column
  • Three Dimensional
  • United States

Readers

  • Computational Modeling and Simulation
  • Control Systems Engineering.
  • Gender and Food Studies