# Validity and Wear Compliance of Wrist-Worn Consumer Activity Trackers Among Japanese School-Aged Children Under Free-Living Conditions

**Authors:** Mitsuya Yamakita, Daisuke Ando, Miri Sato, Yuka Akiyama, Kaori Yamaguchi, Zentaro Yamagata

PMC · DOI: 10.3390/children13020184 · Children · 2026-01-28

## TL;DR

Wrist-worn activity trackers like Fitbit Ace work well for general activity patterns in children but overestimate some activities and are less accurate for individuals.

## Contribution

This study evaluates the validity and wear compliance of wrist-worn trackers in Japanese children under free-living conditions.

## Key findings

- Fitbit Ace showed strong correlations but poor agreement with a waist-worn accelerometer for physical activity metrics.
- Wrist-worn trackers had higher wear compliance than waist-worn devices in children.
- Fitbit Ace overestimated step count, sedentary behavior, and vigorous activity while underestimating light and moderate activity.

## Abstract

What are the main findings?
•The wrist-worn consumer activity trackers showed strong correlations with a waist-worn accelerometer for step count, sedentary behavior, and light-intensity physical activity, but systematically overestimated step count, sedentary behavior, and vigorous-intensity physical activity, with poor agreement across all indicators.•Wear compliance was higher for the wrist-worn activity trackers than for the waist-worn accelerometer under free-living conditions in Japanese school-aged children.

The wrist-worn consumer activity trackers showed strong correlations with a waist-worn accelerometer for step count, sedentary behavior, and light-intensity physical activity, but systematically overestimated step count, sedentary behavior, and vigorous-intensity physical activity, with poor agreement across all indicators.

Wear compliance was higher for the wrist-worn activity trackers than for the waist-worn accelerometer under free-living conditions in Japanese school-aged children.

What are the implication of the main findings?
•Wrist-worn activity trackers may be useful for describing general patterns of lower-intensity physical activity and sedentary behavior in children at the population level.•Caution is required when using wrist-worn trackers for accurate individual-level physical activity assessment, particularly for higher-intensity activities.

Wrist-worn activity trackers may be useful for describing general patterns of lower-intensity physical activity and sedentary behavior in children at the population level.

Caution is required when using wrist-worn trackers for accurate individual-level physical activity assessment, particularly for higher-intensity activities.

Background: Wrist-worn consumer activity trackers are widely used to promote physical activity (PA) and reduce sedentary behavior (SB). However, evidence regarding their validity for measuring PA and SB in free-living school-aged children remains limited. This study evaluated the concurrent validity and wear compliance of a wrist-worn consumer activity tracker in school-aged children under free-living conditions with protocol-defined wear requirements. Methods: A total of 102 children (mean age: 10.2 years; 44.1% girls) wore a wrist-worn device (Fitbit Ace) and a waist-worn accelerometer (Omron Active Style Pro HJA-750c, ASP-750c). Of the 1122 person-days collected over 11 days, 135 person-days meeting inclusion criteria for both devices were included (≥10 h/day wear time and an inter-device wear time difference of ≤60 min). Step count and time in SB, light (LPA), moderate (MPA), vigorous (VPA), and moderate-to-vigorous PA (MVPA) were assessed. Correlations, mean absolute percentage error (MAPE), agreement, and wear compliance between the two devices were examined. Results: Correlations were strong for step count (r = 0.86), SB (r = 0.72), and LPA (r = 0.71); however, agreement was poor, with systematic overestimation of step count, SB, VPA, and MVPA and underestimation of LPA and MPA by the Fitbit Ace, and MAPE exceeding 20% for all PA variables. Wear compliance (≥10 h/day on ≥4 days) was higher for the Fitbit Ace (97.0%) than for the ASP-750c (62.2%). Conclusions: Although the Fitbit Ace may be useful for characterizing general patterns of LPA and SB in school-aged children, caution is warranted for accurate individual-level PA assessment.

## Full-text entities

- **Genes:** LPA (lipoprotein(a)) [NCBI Gene 4018] {aka AK38, APOA, LP}, ASPM (assembly factor for spindle microtubules) [NCBI Gene 259266] {aka ASP, Calmbp1, MCPH5}
- **Diseases:** SB (MESH:D001523), injury (MESH:D014947), PA (MESH:D059445), Wear Compliance (MESH:D057085), obesity (MESH:D009765)
- **Chemicals:** VPA (MESH:D014635), LPA (MESH:D010649), ASP-750c (-), Ace (MESH:C024789), water (MESH:D014867)
- **Species:** Homo sapiens (human, species) [taxon 9606]

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## References

60 references — full list in the complete paper: https://tomesphere.com/paper/PMC12939141/full.md

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Source: https://tomesphere.com/paper/PMC12939141