Comparison of 3 measures of physical activity and associations with blood pressure, HDL, and body composition in a sample of adolescents

J Phys Act Health. 2012 Jan;9(1):78-85. doi: 10.1123/jpah.9.1.78.

Abstract

Background: The association of physical activity (PA), measured 3 ways, and biomarkers were compared in a sample of adolescents.

Methods: PA data were collected on 2 cohorts of adolescents (N = 700) in the Twin Cities, Minnesota, 2007-2008. PA was measured using 2 survey questions [Modified Activity Questionnaire (MAQ)], the 3-Day Physical Activity Recall (3DPAR), and accelerometers. Biomarkers included systolic (SBP) and diastolic blood pressure (DBP), lipids, percent body fat (%BF), and body mass index (BMI) percentile. Bivariate relationships among PA measures and biomarkers were examined followed by generalized estimating equations for multivariate analysis.

Results: The 3 measures were significantly correlated with each other (r = .22-.36, P < .001). Controlling for study, puberty, age, and gender, all 3 PA measures were associated with %BF (MAQ = -1.93, P < .001; 3DPAR = -1.64, P < .001; accelerometer = -1.06, P = .001). The MAQ and accelerometers were negatively associated with BMI percentile. None of the 3 PA measures were significantly associated with SBP or lipids. The percentage of adolescents meeting the national PA recommendations varied by instrument.

Conclusions: All 3 instruments demonstrated consistent findings when estimating associations with %BF, but were different for prevalence estimates. Researchers must carefully consider the intended use of PA data when choosing a measurement instrument.

Publication types

  • Comparative Study

MeSH terms

  • Acceleration*
  • Actigraphy / methods
  • Adipose Tissue
  • Adolescent
  • Biomarkers
  • Blood Pressure / physiology*
  • Body Composition / physiology*
  • Body Mass Index
  • Child
  • Cholesterol, HDL / blood*
  • Female
  • Health Status Indicators
  • Humans
  • Male
  • Mental Recall
  • Motor Activity / physiology*
  • Multivariate Analysis
  • Statistics as Topic
  • Surveys and Questionnaires

Substances

  • Biomarkers
  • Cholesterol, HDL