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Correction of bias ...
Correction of bias in self-reported sitting time among office workers – a study based on compositional data analysis
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- Coenen, Pieter (författare)
- Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
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- Mathiassen, Svend Erik (författare)
- Högskolan i Gävle,Arbetshälsovetenskap,Centrum för belastningsskadeforskning
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- van der Beek, Allard (författare)
- Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
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- Hallman, David, 1979- (författare)
- Högskolan i Gävle,Arbetshälsovetenskap,Centrum för belastningsskadeforskning
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(creator_code:org_t)
- 2019-04-23
- 2020
- Engelska.
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Ingår i: Scandinavian Journal of Work, Environment and Health. - : Scandinavian Journal of Work, Environment and Health. - 0355-3140 .- 1795-990X. ; 46:1, s. 32-42
- Relaterad länk:
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https://doi.org/10.5...
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https://www.sjweh.fi...
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https://urn.kb.se/re...
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https://doi.org/10.5...
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Abstract
Ämnesord
Stäng
- Objective: Emerging evidence suggests that excessive sitting has negative health effects. However, this evidence largely relies on research using self-reported sitting time, which is known to be biased. To correct this bias, we aimed at developing a calibration model estimating "true" sitting from self-reported sitting.Methods: Occupational sitting time was estimated by self-reports (the International Physical Activity Questionnaire) and objective measurements (thigh-worn accelerometer) among 99 Swedish office workers at a governmental agency, at baseline and 3 and 12 months afterwards. Following compositional data analysis procedures, both sitting estimates were transformed into isometric log-ratios (ILR). This effectively addresses that times spent in various activities are inherently dependent and can be presented as values of only 0−100%. Linear regression was used to develop a simple calibration model estimating objectively measured "true" sitting ILR (dependent variable) from self-reported sitting ILR (independent variable). Additional self-reported variables were then added to construct a full calibration model. Performance of the models was assessed by root-mean-square (RMS) differences between estimated and objectively measured values. Models developed on baseline data were validated using the follow-up datasets.Results: Uncalibrated self-reported sitting ILR showed an RMS error of 0.767. Simple and full calibration models (incorporating body mass index, office type, and gender) reduced this error to 0.422 (55%) and 0.398 (52%), respectively. In the validations, model performance decreased to 57%/62% (simple models) and 57%/62% (full models) for the two follow-up data sets, respectively.Conclusions: Calibration adjusting for errors in self-reported sitting led to substantially more correct estimates of "true" sitting than uncalibrated self-reports. Validation indicated that model performance would change somewhat in new datasets and that full models perform no better than simple models, but calibration remained effective.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Hälsovetenskap -- Arbetsmedicin och miljömedicin (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Health Sciences -- Occupational Health and Environmental Health (hsv//eng)
Nyckelord
- calibration
- calibration model
- compositional data analysis
- occupational health
- sedentary behavior
- Health-Promoting Work
- Hälsofrämjande arbete
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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