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Subtitle:
Article type: Research Article
Authors: Terada, Tasukua; * | Sexsmith, James R.b
Affiliations: [a] Faculty of Physical Education & Recreation, University of Alberta, Edmonton, Alberta, Canada | [b] Faculty of Kinesiology, University of New Brunswick, Fredericton, New Brunswick, Canada
Correspondence: [*] Corresponding author: Tasuku Terada, 1-052 Li Ka Shing Center for Health Research Innovation, Physical Activity and Diabetes Laboratory, Faculty of Physical Education & Recreation, University of Alberta, Edmonton, Alberta, T6G 2H9, Canada. Tel.: +1 780 492 9020; E-mail:tasuku@ualberta.ca
Abstract: BACKGROUND: Quantification of sedentary time still remains a challenge. OBJECTIVES: This study examined: 1) whether a multisensory activity monitor could accurately measure sedentary activities and discriminate them from light intensity activities; and 2) the validity of activity log diary (AL) in estimating sedentary time using the monitor as a criterion measure. METHODS: Thirty healthy individuals performed sedentary and light intensity activities in a laboratory while being equipped with a metabolic measurement cart (MMC) and the multisensory monitor. Subsequently, a subset of 19 participants completed AL while wearing the monitor for three days under free-living conditions. RESULTS: Metabolic equivalents (METs) measured by the multisensory monitor during sedentary activities were similar to those measured by MMC and were significantly lower than light-intensity activities (p< 0.001). Relative criterion validity of AL assessed by Pearson's correlation coefficient was high (r= 0.68, p< 0.01). Absolute criterion validity examined by Bland-Altman plots showed small mean difference between AL and the monitor (36.9 minutes ⋅ day - 1) with its limits of agreement ranging from -103.3 to 177.1 minutes ⋅ day - 1. CONCLUSION: The multisensory monitor is capable of accurately measuring sedentary activities and distinguishing them from light-intensity activities. Compared to the multisensory monitor, our results showed that AL provides valid estimate of overall sedentary time.
Keywords: Validity, self-report, accelerometer, sedentary behavior
DOI: 10.3233/THC-151027
Journal: Technology and Health Care, vol. 23, no. 6, pp. 835-845, 2015
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