European Journal of Epidemiology

, Volume 23, Issue 10, pp 661–667

Validity of self-reported total physical activity questionnaire among older women

  • Nicola Orsini
  • Rino Bellocco
  • Matteo Bottai
  • Maria Hagströmer
  • Michael Sjöström
  • Marcello Pagano
  • Alicja Wolk
Methods

Abstract

Aim of this study was to assess the validity of a short self-administered physical activity questionnaire, intended to measure past year total daily physical activity, by comparison with activity records and accelerometers. Over a 1-year period, data from a questionnaire, 7-day activity records and accelerometers were obtained from a subset of 116 women between the ages of 56 and 75 years from the population-based Swedish Mammography Cohort. We estimated concordance correlations as measure of validity, deattenuated for intraindividual variation in the reference method. Deattenuated concordance correlations comparing total daily activity measured by the questionnaire with the accelerometers and the records were 0.38 (95% CI: 0.22–0.54) and 0.64 (95% CI: 0.45–0.83), respectively. Validity of leisure-time activity (walking/bicycling and exercise) and inactivity (watching TV/reading) estimates comparing the records with the questionnaire were 0.42 (95% CI: 0.22–0.62) and 0.52 (95% CI: 0.36–0.69), respectively. These data indicate that the average past year total physical activity, leisure-time activity and inactivity can be estimated with a reasonable validity using our short self-administered questionnaire.

Keywords

Physical activity Women Accelerometers Activity records 

Abbreviations

CI

Confidence interval

MET

Metabolic equivalent

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Copyright information

© Springer Science+Business Media B.V. 2008

Authors and Affiliations

  • Nicola Orsini
    • 1
  • Rino Bellocco
    • 2
  • Matteo Bottai
    • 3
  • Maria Hagströmer
    • 4
  • Michael Sjöström
    • 4
  • Marcello Pagano
    • 5
  • Alicja Wolk
    • 1
  1. 1.Division of Nutritional Epidemiology, Institute of Environmental MedicineKarolinska InstitutetStockholmSweden
  2. 2.Department of StatisticsUniversity of Milano BicoccaMilanItaly
  3. 3.Department of Epidemiology and Biostatistics, Arnold School of Public HealthUniversity of South CarolinaColumbiaUSA
  4. 4.Department of Biosciences and NutritionKarolinska InstitutetStockholmSweden
  5. 5.Department of BiostatisticsHarvard School of Public Health Boston USA

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