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The relationship between pedometer-determined ambulatory activity and body composition variables.

C Tudor-Locke1, B E Ainsworth, M C Whitt

  • 1Prevention Research Center, School of Public Health, University of South Carolina, Columbia, South Carolina 29208, USA. ctudor@sph.sc.edu

International Journal of Obesity and Related Metabolic Disorders : Journal of the International Association for the Study of Obesity
|December 26, 2001
PubMed
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Daily steps are linked to body composition. Higher daily steps (over 9000) correlate with normal weight, while fewer steps (under 5000) are linked to obesity, suggesting activity levels impact body mass index (BMI) and body fat.

Area of Science:

  • Exercise Science
  • Public Health
  • Human Physiology

Background:

  • Body composition, including body mass index (BMI) and body fat percentage, is a key indicator of health.
  • Assessing physical activity levels, such as daily steps, is crucial for understanding health behaviors.

Purpose of the Study:

  • To investigate the association between pedometer-measured daily steps and body composition in adults.
  • To determine if specific step counts correlate with normal weight, overweight, or obesity classifications.

Main Methods:

  • Secondary analysis of a cross-sectional study involving objective activity monitoring.
  • 109 healthy adults (aged 44.9±15.8 years) had their daily steps, height, weight, and body fat percentage measured.
  • Body composition variables included body mass index (BMI) and percentage body fat, assessed via bioelectrical impedance.

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Main Results:

  • A significant inverse correlation was found between daily steps and both BMI (r=-0.30) and body fat percentage (r=-0.27) (P<0.01).
  • Higher daily step counts were associated with lower BMI and body fat.
  • Analysis using established BMI categories confirmed the relationship between activity levels and weight status.

Conclusions:

  • Approximately 9000 steps/day may be a threshold for classifying individuals as normal weight.
  • Fewer than 5000 steps/day were frequently associated with obesity.
  • These preliminary findings highlight potential step-based cutoffs for identifying at-risk individuals needing physical activity interventions.