Annals of Epidemiology
Volume 18, Issue 5 , Pages 378-386, May 2008

A Comparison of Subjective and Objective Measures of Physical Activity and Fitness in Identifying Associations with Cardiometabolic Risk Factors

  • Michael D. Schmidt, PhD

      Affiliations

    • Menzies Research Institute, University of Tasmania, Hobart
    • Corresponding Author InformationAddress correspondence to: Dr. Michael Schmidt, Menzies Research Institute, University of Tasmania, Private Bag 23, Hobart, Tasmania 7000, Australia.
  • ,
  • Verity J. Cleland, PhD

      Affiliations

    • Menzies Research Institute, University of Tasmania, Hobart
  • ,
  • Russell J. Thomson, PhD

      Affiliations

    • Menzies Research Institute, University of Tasmania, Hobart
  • ,
  • Terence Dwyer, MD, MPH

      Affiliations

    • Murdoch Children's Research Institute, Royal Children's Hospital, Melbourne, Australia
  • ,
  • Alison J. Venn, PhD

      Affiliations

    • Menzies Research Institute, University of Tasmania, Hobart

Received 2 October 2007; accepted 9 January 2008.

Purpose

To compare the ability of alternative measures of physical activity and fitness to quantify associations with health outcomes.

Methods

Associations between a range of subjective and objective physical activity and fitness measures and cardiometabolic risk factors were examined using data from 1,631 Australians aged 26–36 years. Anthropometry, fitness, blood pressure, and fasting blood glucose, insulin, and lipids were measured at study clinics. Participants completed the International Physical Activity Questionnaire (IPAQ) and 7-day pedometer diaries; they also reported sedentary behavior (sitting, television viewing).

Results

In men and women, associations were strongest for fitness, with those in the highest (vs. lowest) fitness quarter having a 75% to 80% lower prevalence of two or more primary risk factors (waist circumference, high-density lipoprotein cholesterol, and insulin resistance). In men, a 60% to 70% reduced prevalence of two or more risk factors was observed across extreme quarters of IPAQ leisure, IPAQ vigorous, sitting duration, and pedometer measures. Similar reductions in prevalence were observed only across extreme quarters of pedometer activity and television viewing in women.

Conclusions

Associations between alternative measures and cardiometabolic risk were relatively independent, suggesting that a range of physical activity and fitness measures may be needed to most accurately quantify associations between physical activity and health.

Key Words: Epidemiologic Measurements, Questionnaires, Walking, Physical Fitness

Selected Abbreviations and Acronyms: BMI, body mass index, CI, confidence interval, HDL, high-density lipoprotein, HOMA, homeostasis model assessment index, IPAQ, International Physical Activity Questionnaire, POR, prevalence odds ratio, PWC-170, physical work capacity at a heart rate of 170 beats per minute

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PII: S1047-2797(08)00029-X

doi:10.1016/j.annepidem.2008.01.005

Annals of Epidemiology
Volume 18, Issue 5 , Pages 378-386, May 2008