Published in:
01-05-2016 | Original Article
Deviation between self-reported and measured occupational physical activity levels in office employees: effects of age and body composition
Authors:
Katharina Wick, Oliver Faude, Susanne Schwager, Lukas Zahner, Lars Donath
Published in:
International Archives of Occupational and Environmental Health
|
Issue 4/2016
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Abstract
Objectives
Whether occupational physical activity (PA) will be assessed via questionnaires or accelerometry depends on available resources. Although self-reported data collection seems feasible and inexpensive, obtained information could be biased by demographic determinants. Thus, we aimed at comparing self-reported and objectively measured occupational sitting, standing, and walking times adjusted for socio-demographic variables.
Methods
Thirty-eight office employees (eight males, 30 females, age 40.8 ± 11.4 years, BMI 23.9 ± 4.2 kg/m2) supplied with height-adjustable working desks were asked to report sitting, standing, and walking times using the Occupational Sitting and Physical Activity Questionnaire during one working week. The ActiGraph wGT3X-BT was used to objectively measure occupational PA during the same week. Subjectively and objectively measured data were compared computing the intra-class correlation coefficients, paired t tests and Bland–Altman plots. Furthermore, repeated-measurement ANOVAs for measurement (subjective vs. objective) and socio-demographic variables were calculated.
Results
Self-reported data yielded a significant underestimation of standing time (13.3 vs. 17.9 %) and an overestimation of walking time (12.7 vs. 5.0 %). Significant interaction effects of age and measurement of standing time (F = 6.0, p = .02, η
p
2
= .14) and BMI group and measurement of walking time were found (F = 3.7, p = .04, η
p
2
= .17). Older employees (>39 years) underestimated their standing time, while underweight workers (BMI < 20 kg/m2) overestimated their walking time.
Conclusions
Self-reported PA data differ from objective data. Demographic variables (age, BMI) affect the amount of self-reported misjudging of PA. In order to improve the validity of self-reported data, a correction formula for the economic assessment of PA by subjective measures is needed, considering age and BMI.