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Calibration of self-reported time spent sitting, standing and walking among office workers: a compositional data analysis
University of Gävle, Faculty of Health and Occupational Studies, Department of Occupational Health Science and Psychology, Occupational Health Science. University of Gävle, Centre for Musculoskeletal Research.ORCID iD: 0000-0002-2741-1868
University of Gävle, Faculty of Health and Occupational Studies, Department of Occupational Health Science and Psychology, Occupational Health Science. University of Gävle, Centre for Musculoskeletal Research.ORCID iD: 0000-0003-1443-6211
Department of Public and Occupational Health, Amsterdam UMC, Vrije Universiteit Amsterdam.
University of Gävle, Faculty of Health and Occupational Studies, Department of Occupational Health Science and Psychology, Occupational Health Science. University of Gävle, Centre for Musculoskeletal Research.
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2019 (English)In: International Journal of Environmental Research and Public Health, ISSN 1661-7827, E-ISSN 1660-4601, Vol. 16, no 17, article id 3111Article in journal (Refereed) Published
Abstract [en]

We developed and evaluated calibration models predicting objectively measured sitting, standing and walking time from self-reported data using a compositional data analysis (CoDA) approach. A total of 98 office workers (48 women) at the Swedish Transport Administration participated. At baseline and three-months follow-up, time spent sitting, standing and walking at work was assessed for five working days using a thigh-worn accelerometer (Actigraph), as well as by self-report (IPAQ). Individual compositions of time spent in the three behaviors were expressed by isometric log-ratios (ILR). Calibration models predicting objectively measured ILRs from self-reported ILRs were constructed using baseline data, and then validated using follow-up data. Un-calibrated self-reports were inaccurate; root-mean-square (RMS) errors of ILRs for sitting, standing and walking were 1.21, 1.24 and 1.03, respectively. Calibration reduced these errors to 36% (sitting), 40% (standing), and 24% (walking) of those prior to calibration. Calibration models remained effective for follow-up data, reducing RMS errors to 33% (sitting), 51% (standing), and 31% (walking). Thus, compositional calibration models were effective in reducing errors in self-reported physical behaviors during office work. Calibration of self-reports may present a cost-e_ective method for obtaining physical behavior data with satisfying accuracy in large-scale cohort and intervention studies.

Place, publisher, year, edition, pages
2019. Vol. 16, no 17, article id 3111
Keywords [en]
physical activity; sedentary behavior; oce work; accuracy; calibration; compositional data analysis
National Category
Occupational Health and Environmental Health
Identifiers
URN: urn:nbn:se:hig:diva-30597DOI: 10.3390/ijerph16173111PubMedID: 31461868OAI: oai:DiVA.org:hig-30597DiVA, id: diva2:1346447
Part of project
Forte-centre Working Life: The Body at Work - from problem to potential, Forte
Funder
Forte, Swedish Research Council for Health, Working Life and Welfare, 2009-01761Available from: 2019-08-28 Created: 2019-08-28 Last updated: 2019-09-05Bibliographically approved

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Hallman, DavidMathiassen, Svend ErikJackson, Jennie

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