Assessing 24-h movement behaviors in early childhood (0–4 years): Reliability of the My Little Moves app and comparison with accelerometry

Abstract Background The reliability and validity of proxy-report tools such as the My Little Moves (MLM) app for assessing 24-h movement behaviors (physical activity (PA), sedentary behavior (SB) and sleep) is insufficiently established in early childhood. We aimed to: (1) determine the minimum reporting time (number of hours and days of reported activities) required to reliably assess 24-h movement behaviors of 0–4-year-old children using the MLM app; and (2) evaluate the ability of the MLM app to assess PA, SB, and sleep by hypotheses testing of expected accelerometer-derived accelerations. Methods We used data from the MLM study, with at least two days of app data available for 324 children (22.0 ± 12.0 months, 48.3% girls), and accelerometer data (two Axivity AX3 devices, placed on wrist and hip) for 75 children (20.5 ± 11.6 months, 45.3% girls). The Spearman–Brown formula was applied to determine the minimum reporting time needed to achieve a reliability coefficient of 0.70 for time spent in PA, SB and sleep, and 24-h movement behavior compositions. General linear mixed-effects models were used to test our hypothesis that accelerometer-derived acceleration would be lowest during app-based estimates of sleep, followed by SB, and highest during PA. Additionally, we tested 55 sub-hypotheses to examine expected differences and similarities in accelerometer-derived acceleration across app-based activity categories. Results The minimum required reporting time was at least 2 days of 20 h for sleep, 2 days of 23 h for PA, 4 days of 17 h for SB, and 2 days of 23 h for the composition of 24-h movement behaviors. As hypothesized, lowest accelerations were recorded during sleep and highest accelerations during PA. We found consistent support for 21 out of 55 sub-hypotheses, with significantly higher acceleration for active play and active transport than for sedentary activities, except for passive transport. Conclusions To reliably assess the composition of 24-h movement behaviors in 0–4-year-olds, activities need to be reported in the MLM app for at least two full days. The MLM app shows promise for assessing 24-h movement behaviors, although some specific activities require further investigation.

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Publication Details

Journal
Journal of Activity Sedentary and Sleep Behaviors
Published
2025-04-06
DOI
https://doi.org/10.1186/s44167-025-00075-x
Citations
1
Primary Topic
Children's Physical and Motor Development
Type
article
Field-Weighted Citation Impact
3.44

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article

Assessing 24-h movement behaviors in early childhood (0–4 years): Reliability of the My Little Moves app and comparison with accelerometry

Annelinde Lettink, Jessica S. Gubbels, Jelle Arts, Mai J. M. Chinapaw et al.
1 citations
Journal of Activity Sedentary and Sleep Behaviors
Children's Physical and Motor Development
3.44
article

Assessing 24-h movement behaviors in early childhood (0–4 years): Reliability of the My Little Moves app and comparison with accelerometry

Annelinde Lettink, Jessica S. Gubbels, Jelle Arts, Mai J. M. Chinapaw, Teatske M. Altenburg
article en
1 citations

Abstract

Abstract Background The reliability and validity of proxy-report tools such as the My Little Moves (MLM) app for assessing 24-h movement behaviors (physical activity (PA), sedentary behavior (SB) and sleep) is insufficiently established in early childhood. We aimed to: (1) determine the minimum reporting time (number of hours and days of reported activities) required to reliably assess 24-h movement behaviors of 0–4-year-old children using the MLM app; and (2) evaluate the ability of the MLM app to assess PA, SB, and sleep by hypotheses testing of expected accelerometer-derived accelerations. Methods We used data from the MLM study, with at least two days of app data available for 324 children (22.0 ± 12.0 months, 48.3% girls), and accelerometer data (two Axivity AX3 devices, placed on wrist and hip) for 75 children (20.5 ± 11.6 months, 45.3% girls). The Spearman–Brown formula was applied to determine the minimum reporting time needed to achieve a reliability coefficient of 0.70 for time spent in PA, SB and sleep, and 24-h movement behavior compositions. General linear mixed-effects models were used to test our hypothesis that accelerometer-derived acceleration would be lowest during app-based estimates of sleep, followed by SB, and highest during PA. Additionally, we tested 55 sub-hypotheses to examine expected differences and similarities in accelerometer-derived acceleration across app-based activity categories. Results The minimum required reporting time was at least 2 days of 20 h for sleep, 2 days of 23 h for PA, 4 days of 17 h for SB, and 2 days of 23 h for the composition of 24-h movement behaviors. As hypothesized, lowest accelerations were recorded during sleep and highest accelerations during PA. We found consistent support for 21 out of 55 sub-hypotheses, with significantly higher acceleration for active play and active transport than for sedentary activities, except for passive transport. Conclusions To reliably assess the composition of 24-h movement behaviors in 0–4-year-olds, activities need to be reported in the MLM app for at least two full days. The MLM app shows promise for assessing 24-h movement behaviors, although some specific activities require further investigation.

Journal of Activity Sedentary and Sleep BehaviorsVol. 4(1)
Maastricht University (NL), GGD Amsterdam (NL), Amsterdam University Medical Centers (NL), Vrije Universiteit Amsterdam (NL)
Bernard van Leer Foundation, ZonMw
Openalex Percentile: Top 11%
Children's Physical and Motor Development
3.44
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