< Terug naar vorige pagina

Publicatie

Validation of a smart chair and corresponding smartphone app as an objective measure of desk-based sitting

Tijdschriftbijdrage - Tijdschriftartikel

Objectives: This study evaluated the validity of a smart chair and corresponding smartphone app (chair&app) to measure sitting time and sitting interruptions against camera-derived observation and activPAL. Methods: Belgian deskbound university employees (n=28, 17 women, mean age 30±7.5 years, mean BMI 22.1±2.0 kg/m²) were provided with the chair&app in three conditions: a controlled condition (following a prescribed protocol), a free-living condition (conducting usual office work for two hours) and an extended free-living condition (conducting usual office work for three consecutive days). Total sitting time and the number of sitting interruptions were compared between the chair&app and criterion measures (camera observation and activPAL). Criterion validity was assessed using mean differences (95% CI) and intra-class correlation coefficients (ICC; 95% CI). Results: In the controlled condition, mean sitting time and number of sitting interruptions differed between chair&app and camera observation by 2.7 (-2.4, 7.9) minutes and -8.0 (-10.4, -5.6) interruptions, respectively. For the free-living condition, there was good agreement between the chair&app and camera observation for both sitting time (ICC:0.74; 0.28, 0.93) and sitting interruptions (ICC:0.68; 0.10, 0.91). For the extended free-living condition, there was excellent agreement between chair&app and activPAL for sitting time (ICC:0.89; 0.49, 0.97). Meanwhile, there was poor agreement between chair&app and activPAL for sitting interruptions (ICC:0.38; -0.04, 0.70). Conclusions: Chair&app generally provided reliable measures of desk-based sitting. Consequently, chair&app might be useful as a self-monitoring tool in the workplace context. Further research is needed to explore its usefulness in reducing adults’ desk-based sitting. Key words: workplace, sedentary behavior, measurement, smartphone, validation
Tijdschrift: Journal Of Occupational Health
ISSN: 1341-9145
Issue: 1
Volume: 61
Pagina's: 121 - 127
Jaar van publicatie:2019
BOF-keylabel:ja
IOF-keylabel:ja
BOF-publication weight:1
CSS-citation score:1
Authors from:Higher Education
Toegankelijkheid:Open