Bastian Abel1, Rebekka Pomiersky2, Christian Werner3, André Lacroix4, Martina Schäufele5, Klaus Hauer6. 1. Department of Geriatric Research, Agaplesion Bethanien Hospital Heidelberg, Geriatric Center at the University of Heidelberg, Rohrbacher Straße 149, 69126 Heidelberg, Germany. Electronic address: bastian.abel@bethanien-heidelberg.de. 2. Department of Geriatric Research, Agaplesion Bethanien Hospital Heidelberg, Geriatric Center at the University of Heidelberg, Rohrbacher Straße 149, 69126 Heidelberg, Germany; Faculty of Social Work, University of Applied Sciences Mannheim, Paul-Wittsack-Straße 10, 68163 Mannheim, Germany. Electronic address: rebekka.pomiersky@gmx.de. 3. Department of Geriatric Research, Agaplesion Bethanien Hospital Heidelberg, Geriatric Center at the University of Heidelberg, Rohrbacher Straße 149, 69126 Heidelberg, Germany. Electronic address: christian.werner@bethanien-heidelberg.de. 4. Department of Geriatric Research, Agaplesion Bethanien Hospital Heidelberg, Geriatric Center at the University of Heidelberg, Rohrbacher Straße 149, 69126 Heidelberg, Germany. Electronic address: andre.lacroix@gmx.de. 5. Faculty of Social Work, University of Applied Sciences Mannheim, Paul-Wittsack-Straße 10, 68163 Mannheim, Germany. Electronic address: m.schaeufele@hs-mannheim.de. 6. Department of Geriatric Research, Agaplesion Bethanien Hospital Heidelberg, Geriatric Center at the University of Heidelberg, Rohrbacher Straße 149, 69126 Heidelberg, Germany. Electronic address: khauer@bethanien-heidelberg.de.
Abstract
OBJECTIVE: To investigate the day-to-day variability of various sensor-based physical activity (PA) parameters and to analyze effects of weekdays vs. weekend days as well as the influence of concomitant factors (gender, living conditions, cognitive status, physical performance, and level of PA) in multi-morbid, older persons with mild-to-moderate stage dementia. METHODS: In 53 participants, PA was recorded on three consecutive days. Day-to-day variability was estimated by calculating intraclass correlation coefficients (ICCs) for two consecutive days each (Friday-Saturday, Saturday-Sunday). RESULTS: Almost all non-walking parameters (lying time, sitting time, standing time, active time, inactive time, and sit-to-stand transitions) showed a consistently low day-to-day variability for Friday-Saturday as well as Saturday-Sunday (ICCs: .60-.96) and hence remained almost unaffected by specific days of the week and concomitant factors. Only the sub-analysis by level of PA revealed slightly deviating results (ICCs: .38-.89). The walking parameters (walking time, walking episodes, and steps) revealed a higher day-to-day variability for Friday-Saturday (ICCs: .01-.40) and a generally lower variability for Saturday-Sunday (ICCs: -.08 - .88), also depending on the respective concomitant factors. CONCLUSIONS: Two consecutive days are adequate to reliably assess non-walking parameters, whereas walking parameters showed higher day-to-day variability with a relevant influence of type of days and concomitant factors.
OBJECTIVE: To investigate the day-to-day variability of various sensor-based physical activity (PA) parameters and to analyze effects of weekdays vs. weekend days as well as the influence of concomitant factors (gender, living conditions, cognitive status, physical performance, and level of PA) in multi-morbid, older persons with mild-to-moderate stage dementia. METHODS: In 53 participants, PA was recorded on three consecutive days. Day-to-day variability was estimated by calculating intraclass correlation coefficients (ICCs) for two consecutive days each (Friday-Saturday, Saturday-Sunday). RESULTS: Almost all non-walking parameters (lying time, sitting time, standing time, active time, inactive time, and sit-to-stand transitions) showed a consistently low day-to-day variability for Friday-Saturday as well as Saturday-Sunday (ICCs: .60-.96) and hence remained almost unaffected by specific days of the week and concomitant factors. Only the sub-analysis by level of PA revealed slightly deviating results (ICCs: .38-.89). The walking parameters (walking time, walking episodes, and steps) revealed a higher day-to-day variability for Friday-Saturday (ICCs: .01-.40) and a generally lower variability for Saturday-Sunday (ICCs: -.08 - .88), also depending on the respective concomitant factors. CONCLUSIONS: Two consecutive days are adequate to reliably assess non-walking parameters, whereas walking parameters showed higher day-to-day variability with a relevant influence of type of days and concomitant factors.
Authors: Jonathan R Olsen; Natalie Nicholls; Fiona Caryl; Juan Orjuela Mendoza; Luc Int Panis; Evi Dons; Michelle Laeremans; Arnout Standaert; Duncan Lee; Ione Avila-Palencia; Audrey de Nazelle; Mark Nieuwenhuijsen; Richard Mitchell Journal: SSM Popul Health Date: 2022-07-16
Authors: Ying Gao; Timo Rantalainen; Taija Finni; Erja Portegijs; Johanna Eronen; Taina Rantanen; Merja Rantakokko Journal: Int J Environ Res Public Health Date: 2020-09-21 Impact factor: 3.390