3.8 Article

A Web-Based, Time-Use App To Assess Children's Movement Behaviors: Validation Study of My E-Diary for Activities and Lifestyle (MEDAL)

Journal

JMIR PEDIATRICS AND PARENTING
Volume 5, Issue 2, Pages -

Publisher

JMIR PUBLICATIONS, INC
DOI: 10.2196/33312

Keywords

children; accelerometer; MEDAL; web-based app; self-report; validity; physical activity; movement behavior; pediatrics; sleep; digital health; behavior

Categories

Funding

  1. National University Health System (NUHS) Summit Research Program Partnerships - Office of Deputy President Research and Technology
  2. Saw Swee Hock School of Public Health, National University of Singapore (NUS)
  3. Yong Loo Lin School of Medicine, National University of Singapore (NUS)
  4. MFFC's NUS start-up grant

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MEDAL is a web-based diary designed for collecting time-use information from children. This study evaluated the validity of MEDAL for assessing children's movement behaviors by comparing self-reported and accelerometer-measured time spent in movement behavior among children aged 10-11 years in Singapore. The results showed significant differences between self-reported and accelerometer-measured time spent in different movement behaviors, with children reporting lower light physical activity and higher moderate-to-vigorous physical activity, inactivity, and night sleep compared to the accelerometer measurements. While there was a moderate-to-strong correlation between self-reported and accelerometer-measured time spent in movement behavior, agreement was poor for all behaviors. Differences in reporting accuracy were also observed between weekdays and weekend days.
Background: Existing modes of collecting self-reported 24-hour movement information from children, including digital assessments, have not been demonstrated to be of acceptable validity when compared to objective measurements. My E-Diary for Activities and Lifestyle (MEDAL) is an interactive web-based diary developed to collect time-use information from children aged 10 years and older. Objective: This study evaluated the validity of MEDAL for assessing children's movement behaviors by comparing self-reported and accelerometer-measured time spent in movement behavior among children in Singapore aged 10-11 years. Methods: Funding for this study was obtained in October 2017, and data were collected between April and August 2020. Participants recorded their daily activities using MEDAL over 2 specified weekdays and 2 weekend days and wore an Actigraph accelerometer on their nondominant wrist throughout the study to objectively assess movement behaviors. Spearman correlation coefficient and intraclass correlation coefficient (ICC) were used to compare the accelerometer measurements and self-reports for each movement behavior. Bland-Altman plots were generated to investigate trends of bias in the self-reports. Results: Among the participants aged 10-11 years (29/49, 59% boys), we observed that children reported lower light physical activity (LPA) and higher moderate-to-vigorous physical activity (MVPA), inactivity, and night sleep than that measured by the accelerometer. There was a moderate-to-strong correlation between self-reported and accelerometer-measured MVPA (r=0.37; 95% CI 0.20-0.54), inactivity (r=0.36; 95% CI 0.18-0.54), and night sleep (r=0.58; 95% CI 0.43-0.74); the correlation for LPA was poor (r=0.19; 95% CI 0.02-0.36). Agreement was poor for all behaviors (MVPA: ICC=0.24, 95% CI 0.07-0.40; LPA: ICC=0.19, 95% CI 0.01-0.36; inactivity: ICC=0.29, 95% CI 0.11-0.44; night sleep: ICC=0.45, 95% CI 0.29-0.58). There was stronger correlation and agreement on weekdays for inactivity and night sleep; conversely, there was stronger correlation and agreement for MVPA and LPA on weekend days. Finally, based on Bland-Altman plots, we observed that with increasing MVPA, children tended to report higher MVPA than that measured by the accelerometer. There were no clear trends for the other behaviors. Conclusions: MEDAL may be used to assess the movement behaviors of children. Based on self-reports, the children are able to estimate their time spent in MVPA, inactivity, and night sleep although actual time spent in these behaviors may differ from accelerometer-derived estimates; self-reported LPA warrant cautious interpretation. Observable differences in reporting accuracy exist between weekdays and weekend days.

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