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  • 1.
    Bonn, Stephanie Erika
    et al.
    Karolinska Inst, Dept Med Epidemiol & Biostat, Nobels Vag 12a, SE-17177 Stockholm, Sweden..
    Bergman, Patrick
    Linnaeus Univ, Dept Sport Sci, Kalmar, Sweden..
    Lagerros, Ylva Trolle
    Karolinska Inst, Dept Med, Clin Epidemiol Unit, SE-17177 Stockholm, Sweden.;Karolinska Univ, Huddinge Hosp, Dept Endocrinol Metab & Diabet, Stockholm, Sweden..
    Sjolander, Arvid
    Karolinska Inst, Dept Med Epidemiol & Biostat, Nobels Vag 12a, SE-17177 Stockholm, Sweden..
    Bälter, Katarina
    Karolinska Inst, Dept Med Epidemiol & Biostat, Nobels Vag 12a, SE-17177 Stockholm, Sweden..
    A Validation Study of the Web-Based Physical Activity Questionnaire Active-Q Against the GENEA Accelerometer2015In: JMIR Research Protocols, ISSN 1929-0748, E-ISSN 1929-0748, Vol. 4, no 3, article id UNSP e86Article in journal (Refereed)
    Abstract [en]

    Background: Valid physical activity assessment in epidemiological studies is essential to study associations with various health outcomes. Objective: To validate the Web-based physical activity questionnaire Active-Q by comparing results of time spent at different physical activity levels with results from the GENEA accelerometer and to assess the reproducibility of Active-Q by comparing two admissions of the questionnaire Methods: A total of 148 men (aged 33 to 86 years) responded to Active-Q twice and wore the accelerometer during seven consecutive days on two occasions. Time spent on six different physical activity levels including sedentary, light (LPA), moderate (MPA), and vigorous (WA) as well as additional combined categories of sedentary-to-light and moderate-to-vigorous (MVPA) physical activity was assessed. Validity of Active-Q was determined using Spearman correlation coefficients with 95% confidence intervals (CI) and the Bland-Altman method. Reproducibility was assessed using intraclass correlation coefficients (ICCs) comparing two admissions of the questionnaire Results: The validity correlation coefficients were statistically significant for time spent at all activity levels; sedentary (r=0.19, 95% CI: 0.04-0.34), LPA (r=0.15, 95% CI: 0.00-0.31), sedentary-to-light (r=0.35, 95% CI: 0.19-0.51), MPA (r=0.27, 95% CI: 0.12-0.42), WA (r=0.54, 95% CI: 0.42-0.67), and MVPA (r=0.35, 95% CI: 0.21-0.48). The Bland-Altman plots showed a negative mean difference for time in LPA and positive mean differences for time spent in MPA, WA and MVPA. The ICCs of test-retest reliability ranged between r=0.51-0.80 for the different activity levels in Active-Q. Conclusions: More moderate and vigorous activities and less light activities were reported in Active-Q compared to accelerometer measurements. Active-Q shows comparable validity and reproducibility to other physical activity questionnaires used today.

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