Judit Bort-Roig1, Anna Puig-Ribera2, Ruth S Contreras3, Emilia Chirveches-Pérez4, Joan C Martori5, Nicholas D Gilson6, Jim McKenna7. 1. Research Group on Physical Activity and Sports, Centre for Health and Social Care Research, University of Vic-Central University of Catalonia, Vic (Barcelona), Spain. Electronic address: Judit.bort@uvic.cat. 2. Research Group on Physical Activity and Sports, Centre for Health and Social Care Research, University of Vic-Central University of Catalonia, Vic (Barcelona), Spain. 3. Research Group on Data and Signal Processing, University of Vic-Central University of Catalonia, Vic (Barcelona), Spain. 4. Research Group on Methodology, Methods, Models and Health and Social Outcomes (M3O), Universitat de Vic-Central University of Catalonia, Vic (Barcelona), Spain; Clinical Epidemiology Unit, Hospital Consortium Vic, Vic (Barcelona), Spain. 5. Data Analysis and Modelling Research Group, University of Vic-Central University of Catalonia, Vic (Barcelona), Spain. 6. School of Human Movement and Nutrition Science, The University of Queensland, Brisbane, Australia. 7. School of Sport, Leeds Beckett University, Leeds, United Kingdom.
Abstract
OBJECTIVE: This study validated the Walk@Work-Application (W@W-App) for measuring occupational sitting and stepping. METHODS: The W@W-App was installed on the smartphones of office-based employees (n=17; 10 women; 26±3 years). A prescribed 1-hour laboratory protocol plus two continuous hours of occupational free-living activities were performed. Intra-class correlation coefficients (ICC) compared mean differences of sitting time and step count measurements between the W@W-App and criterion measures (ActivPAL3TM and SW200Yamax Digi-Walker). RESULTS: During the protocol, agreement between self-paced walking (ICC=0.85) and active working tasks step counts (ICC=0.80) was good. The smallest median difference was for sitting time (1.5seconds). During free-living conditions, sitting time (ICC=0.99) and stepping (ICC=0.92) showed excellent agreement, with a difference of 0.5minutes and 18 steps respectively. CONCLUSIONS: The W@W-App provided valid measures for monitoring occupational sedentary patterns in real life conditions; a key issue for increasing awareness and changing occupational sedentariness.
OBJECTIVE: This study validated the Walk@Work-Application (W@W-App) for measuring occupational sitting and stepping. METHODS: The W@W-App was installed on the smartphones of office-based employees (n=17; 10 women; 26±3 years). A prescribed 1-hour laboratory protocol plus two continuous hours of occupational free-living activities were performed. Intra-class correlation coefficients (ICC) compared mean differences of sitting time and step count measurements between the W@W-App and criterion measures (ActivPAL3TM and SW200Yamax Digi-Walker). RESULTS: During the protocol, agreement between self-paced walking (ICC=0.85) and active working tasks step counts (ICC=0.80) was good. The smallest median difference was for sitting time (1.5seconds). During free-living conditions, sitting time (ICC=0.99) and stepping (ICC=0.92) showed excellent agreement, with a difference of 0.5minutes and 18 steps respectively. CONCLUSIONS: The W@W-App provided valid measures for monitoring occupational sedentary patterns in real life conditions; a key issue for increasing awareness and changing occupational sedentariness.
Keywords:
Comportamiento sedentario; Health promotion through mobile phone technology (m-Health); Occupational health; Pasos; Promoción de la salud a través de tecnología móvil (m-Health); Salud laboral; Sedentary behaviour; Sitting time; Steps; Tiempo sentado; Validación; Validity
Authors: Anabela G Silva; Patrícia Simões; Alexandra Queirós; Mário Rodrigues; Nelson P Rocha Journal: J Med Syst Date: 2020-01-08 Impact factor: 4.460
Authors: Judit Bort-Roig; Emilia Chirveches-Pérez; Maria Giné-Garriga; Lydia Navarro-Blasco; Roser Bausà-Peris; Pedro Iturrioz-Rosell; Angel M González-Suárez; Iván Martínez-Lemos; Emma Puigoriol-Juvanteny; Kieran Dowd; Anna Puig-Ribera Journal: Int J Environ Res Public Health Date: 2020-11-28 Impact factor: 3.390
Authors: Francesc Alòs; Mª Àngels Colomer; Carlos Martin-Cantera; Montserrat Solís-Muñoz; Judit Bort-Roig; I Saigi; E Chirveches-Pérez; Mercè Solà-Gonfaus; Josep Maria Molina-Aragonés; Anna Puig-Ribera Journal: BMC Public Health Date: 2022-06-29 Impact factor: 4.135
Authors: Joan B Soriano; Esteve Fernández; Álvaro de Astorza; Luis A Pérez de Llano; Alberto Fernández-Villar; Dolors Carnicer-Pont; Bernardino Alcázar-Navarrete; Arturo García; Aurelio Morales; María Lobo; Marcos Maroto; Eloy Ferreras; Cecilia Soriano; Carlos Del Rio-Bermudez; Lorena Vega-Piris; Xavier Basagaña; Josep Muncunill; Borja G Cosio; Sara Lumbreras; Carlos Catalina; José María Alzaga; David Gómez Quilón; Carlos Alberto Valdivia; Celia de Lara; Julio Ancochea Journal: JMIR Public Health Surveill Date: 2020-09-21