Robin L J Lines1, Nikos Ntoumanis2, Cecilie Thøgersen-Ntoumani2, Joanne A McVeigh3, Kagan J Ducker4, David Fletcher5, Daniel F Gucciardi6. 1. School of Physiotherapy and Exercise Science, Curtin University, Australia; Physical Activity and Well-Being Research Group, Curtin University, Australia. Electronic address: robin.lines@curtin.edu.au. 2. Physical Activity and Well-Being Research Group, Curtin University, Australia; School of Psychology, Curtin University, Australia. 3. Physical Activity and Well-Being Research Group, Curtin University, Australia; School of Occupational Therapy, Social Work, and Speech Pathology, Curtin University, Australia; Movement Physiology Laboratory, School of Physiology, University of Witwatersrand, South Africa. 4. School of Physiotherapy and Exercise Science, Curtin University, Australia. 5. School of Sport, Exercise and Health Sciences, Loughborough University, United Kingdom. 6. School of Physiotherapy and Exercise Science, Curtin University, Australia; Physical Activity and Well-Being Research Group, Curtin University, Australia.
Abstract
OBJECTIVES: To examine the longitudinal associations and differences between self-reported and device-assessed physical activity (PA) and sedentary behaviour (SB), using a multifaceted statistical approach. DESIGN: Longitudinal measurement burst. METHODS: In total, 52 university students (78% female) aged 18-38 years (mean=21.94±4.57 years) participated. The study consisted of three blocks of six days of measurement, during which participants wore an accelerometer on their wrist for the entire block, and self-reported their PA over the 6 days at the end of each block. RESULTS: Meaningful latent differences between methods were observed for moderate PA and SB across all three assessment periods, such that participants underreported the time spent in each activity. Bland-Altman plots revealed a positive mean difference for vigorous PA, with over-reporting increasing as mean levels increased. Negative mean differences were observed for all other intensities. Underreporting of moderate PA increased as the mean level increased, whereas for light PA and SB, underreporting decreased at high levels. Repeated measures correlations revealed a meaningful association for vigorous PA only, suggesting that as self-reported minutes increase so too do device-measured minutes. CONCLUSIONS: We found evidence of cross-sectional and longitudinal differences and weak associations between self-reported and device-assessed PA and SB. Future work is needed to enhance the quality of self-reported methods to assess PA and SB (e.g., face and content validity), and consider improvements to the processing of device-based data.
OBJECTIVES: To examine the longitudinal associations and differences between self-reported and device-assessed physical activity (PA) and sedentary behaviour (SB), using a multifaceted statistical approach. DESIGN: Longitudinal measurement burst. METHODS: In total, 52 university students (78% female) aged 18-38 years (mean=21.94±4.57 years) participated. The study consisted of three blocks of six days of measurement, during which participants wore an accelerometer on their wrist for the entire block, and self-reported their PA over the 6 days at the end of each block. RESULTS: Meaningful latent differences between methods were observed for moderate PA and SB across all three assessment periods, such that participants underreported the time spent in each activity. Bland-Altman plots revealed a positive mean difference for vigorous PA, with over-reporting increasing as mean levels increased. Negative mean differences were observed for all other intensities. Underreporting of moderate PA increased as the mean level increased, whereas for light PA and SB, underreporting decreased at high levels. Repeated measures correlations revealed a meaningful association for vigorous PA only, suggesting that as self-reported minutes increase so too do device-measured minutes. CONCLUSIONS: We found evidence of cross-sectional and longitudinal differences and weak associations between self-reported and device-assessed PA and SB. Future work is needed to enhance the quality of self-reported methods to assess PA and SB (e.g., face and content validity), and consider improvements to the processing of device-based data.
Authors: Roman P Kuster; Philip von Rosen; Wilhelmus J A Grooten; Ing-Mari Dohrn; Maria Hagströmer Journal: Int J Environ Res Public Health Date: 2021-11-20 Impact factor: 3.390
Authors: Oriol Sansano-Nadal; Maria Giné-Garriga; Beatriz Rodríguez-Roca; Myriam Guerra-Balic; Kelly Ferri; Jason J Wilson; Paolo Caserotti; Pia Øllgaard Olsen; Nicole E Blackburn; Dietrich Rothenbacher; Dhayana Dallmeier; Marta Roqué-Fíguls; Emma McIntosh; Carme Martín-Borràs Journal: Int J Environ Res Public Health Date: 2021-12-16 Impact factor: 3.390