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.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.jsams.2020.03.004 | DOI Listing |
Psychol Sport Exerc
November 2024
The University of Texas at San Antonio, Department of Psychology, San Antonio, TX, USA.
Most university students do not engage in enough physical activity (PA) despite the known physical and mental health benefits. Action control theories such as the Multi-Process Action Control (M-PAC) framework have been proposed to better understand the translation of intentions into action by incorporating post-intentional processes. However, the explanatory power of the M-PAC framework beyond traditional social cognitive constructs has received limited attention.
View Article and Find Full Text PDFPLoS One
March 2024
Applied Sports, Technology, Exercise and Medicine (A-STEM) Research Centre, Faculty of Science and Engineering, Swansea University, Swansea, Wales, United Kingdom.
Self-report and device-based measures of physical activity (PA) both have unique strengths and limitations; combining these measures should provide complementary and comprehensive insights to PA behaviours. Therefore, we aim to 1) identify PA clusters and clusters of change in PA based on self-reported daily activities and 2) assess differences in device-based PA between clusters in a lifestyle intervention, the PREVIEW diabetes prevention study. In total, 232 participants with overweight and prediabetes (147 women; 55.
View Article and Find Full Text PDFJ Sport Health Sci
November 2023
Department of Behavioural Science and Health, University College London, London WC1E 6BT, UK. Electronic address:
Background: Greater physical activity is associated with improved outcomes in people living with and beyond cancer. However, most studies in exercise oncology use self-reported measures of physical activity. Few have explored agreement between self-reported and device-based measures of physical activity in people living with and beyond cancer.
View Article and Find Full Text PDFJ Phys Act Health
September 2023
Division of Surgery & Interventional Science, Institute of Sport Exercise & Health, University College London, London,United Kingdom.
Background: Adolescence is a critical period filled with life changes. Early implementation of effective health promotion strategies could help alleviate the morbidity and mortality associated with inactivity. This study investigated whether adolescent participation in exercise and sport is associated with device-assessed physical activity (PA) levels in midlife.
View Article and Find Full Text PDFJ Sports Sci
November 2022
School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia, Institute for Physical Activity and Nutrition Australia.
There is a lack of specific tools for assessing children's activity compensatory responses. This study 1) determined test-retest reliability and internal consistency of survey items assessing children's self-reported and parents' proxy-reported perceived compensatory responses; and 2) described children's and parents' views of potential compensatory mechanisms. Children (n = 55; mean age 10.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!