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  • 1.
    Gupta, Nidhi
    et al.
    National Research Centre for the Working Environment, Copenhagen.
    Mathiassen, Svend Erik
    University of Gävle, Faculty of Health and Occupational Studies, Department of Occupational and Public Health Sciences, Occupational health science. University of Gävle, Centre for Musculoskeletal Research.
    Mateu-Figueras, Gloria
    Department of Computer Science, Applied Mathematics and Statistics, University of Girona.
    Heiden, Marina
    University of Gävle, Faculty of Health and Occupational Studies, Department of Occupational and Public Health Sciences, Occupational health science. University of Gävle, Centre for Musculoskeletal Research.
    Hallman, David
    University of Gävle, Faculty of Health and Occupational Studies, Department of Occupational and Public Health Sciences, Occupational health science. University of Gävle, Centre for Musculoskeletal Research.
    Birk Jørgensen, Marie
    National Research Centre for the Working Environment, Copenhagen.
    Holtermann, Andreas
    National Research Centre for the Working Environment, Copenhagen.
    A comparison of standard and compositional analysis in studies addressing group differences in sedentary behavior and physical activity2018In: International Journal of Behavioral Nutrition and Physical Activity, ISSN 1479-5868, E-ISSN 1479-5868, Vol. 15, article id 53Article in journal (Refereed)
    Abstract [en]

    Background. Data on time spent in physical activity, sedentary behavior and sleep during a day is compositional in nature, i.e. they add up to a constant value, typically 100% time. Compositional data have fundamentally different properties from unconstrained data in real space, and require other processing and analysis procedures, referred to as compositional data analysis (CoDA). Most physical activity and sedentary behavior studies, however, still apply analytical procedures adapted to data in real space, which can lead to misleading results. The present study describes a comparison of time spent sedentary and in physical activity between age groups and sexes, and investigates the extent to which results obtained by CoDA differ from those obtained using standard analytical procedures.

    Methods. Time spent sedentary, standing, and in physical activity (walking/running/stair climbing/cycling) during work and leisure was determined for 1-4 days among 677 blue-collar workers using accelerometry. Differences between sexes and age groups were tested using MANOVA, using both a standard approach and a CoDA approach based on isometric log-ratio transformed data.  

    Results. When determining differences between sexes in time used for different activities at work, the effect size using standard analysis (η2=0.045, p<0.001) was 15% smaller than that obtained with CoDA (η2=0.052, p<0.001), although both approaches suggested a statistically significant difference. When determining corresponding differences between age groups, CoDA resulted in a 60% larger, and significant, effect size (η2=0.012, p=0.02) than that obtained with the standard approach (η2=0.008, p=0.07). During leisure, results with standard (age; η2=0.007, p=0.09; sex; η2=0.052, p<0.001) and CoDA (age; η2=0.007, p=0.09; sex; η2=0.051, p<0.001) analyses were similar.

    Conclusion. Results and, hence, inferences concerning differences by age and sex in time spent sedentary and in physical activity at work differed between CoDA and standard analysis. We encourage researchers to use CoDA in similar studies, in order to adequately account for the compositional nature of data on physical activity and sedentary behavior

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