Prediction of Total Energy Expenditure Using a Pedometer in Male and Female Sailors Aboard Ship

Abstract

This study developed an algorithm to estimate TEE using pedometry. Sailors (7 men, 10 women were studied for 8 days at sea using doubly labeled water (DLW) to estimate TEE. Concomitantly, pedometry was used to measure foot-ground contact times during running (RCON) and walking (WCON), and the fraction of time spent running (RUN), walking (WALK), or in other (OTHER) forms of foot movement. Resting metabololic rate (RMR) was estimated from body mass (BM), sex, age, lean IBM. The predictive model is a variation of a previously developed model (JAP 76:1818-22, 1994), where TEE = 1440* (RUN *((0.0761 *(BM/RCON)-7.598) + WALK* ((0.056* (BM/WCON))-2.938) + (OTHER*0.1 *RMR) +RMR). This equation explained 79% of the variance relative to DLW TEE. TEE (Mean +/- SEM: 3023 +/- 99kcal/d) predicted by pedometry (95% confidence +/- 193 kcal/d) did not suffer from TEE by DLW (3000 153 kcal/d). The abundance of ramps and ladders on ships increased vertical locomotion components relative to horizontal, which normally predominate on land, possibly limiting the ability of pedometry to classify shipboard activity. However, TEE was predicted with reasonable accuracy using estimated RMR and this pedometry method.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2003
Accession Number
ADA416205

Entities

People

  • James P. Delany
  • Mark J. Buller
  • Miyo Yokota
  • Reed W. Hoyt
  • William J. Tharion

Organizations

  • United States Army Research Institute of Environmental Medicine

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Amphibious Operations
  • Body Weight
  • Data Analysis
  • Data Science
  • Digestive System Processes
  • Equations
  • Experimental Design
  • Information Science
  • Locomotion
  • Measurement
  • Military Operations
  • Navy
  • Physical Activity
  • Ships
  • Statistics

Readers

  • Computational Modeling and Simulation
  • Exercise and Sports Science.