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Calibration of self...
Calibration of self-reported time spent sitting, standing and walking among office workers: a compositional data analysis
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- Hallman, David, 1979- (author)
- Högskolan i Gävle,Arbetshälsovetenskap,Centrum för belastningsskadeforskning
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- Mathiassen, Svend Erik (author)
- Högskolan i Gävle,Arbetshälsovetenskap,Centrum för belastningsskadeforskning
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- van der Beek, Allard (author)
- Department of Public and Occupational Health, Amsterdam UMC, Vrije Universiteit Amsterdam
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- Jackson, Jennie (author)
- Högskolan i Gävle,Arbetshälsovetenskap,Centrum för belastningsskadeforskning
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- Coenen, Pieter (author)
- Department of Public and Occupational Health, Amsterdam UMC, Vrije Universiteit Amsterdam
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(creator_code:org_t)
- 2019-08-27
- 2019
- English.
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In: International Journal of Environmental Research and Public Health. - : MDPI AG. - 1661-7827 .- 1660-4601. ; 16:17
- Related links:
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https://doi.org/10.3...
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https://www.mdpi.com...
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https://urn.kb.se/re...
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Abstract
Subject headings
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- 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.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Hälsovetenskap -- Arbetsmedicin och miljömedicin (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Health Sciences -- Occupational Health and Environmental Health (hsv//eng)
Keyword
- physical activity; sedentary behavior; oce work; accuracy; calibration; compositional data analysis
- Health-Promoting Work
- Hälsofrämjande arbete
Publication and Content Type
- ref (subject category)
- art (subject category)
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