Evidence map›Paper›PMID 42345879›Full record

ArticleBiosensors2026

Wearable-Derived Axis-Specific Motor Signatures of ADHD Symptoms in Children and Adolescents.

Siyu Zhang, Jingsong Liu, Shoujiang Wu

Abstract read
In one paragraph

Article in Biosensors, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Siyu ZhangDepartment of Physical Education, Bozhou University, Bozhou 236800, China.
Jingsong LiuDepartment of Sport Science, College of Natural Sciences, Jeonbuk National University, Jeonju 54896, Republic of Korea.
Shoujiang WuDepartment of Physical Education, Bozhou University, Bozhou 236800, China.

Funding

Anhui Provincial Department of Education 2023AH052258Anhui Provincial Department of Education 2023jyxm0875
6 · The paper itself

Abstract

ADHD is typically assessed through reports from parents, teachers, or clinicians, but these reports may not fully capture how motor behavior is organized at the signal level. This cross-sectional study examined whether X-axis acceleration features derived from a wearable device could provide preliminary evidence of ADHD symptom-related motor-pattern differences in children and adolescents. Primary school children aged 6-13 years wore an Apple Watch Series 7, and X-axis accelerometer signals were used to extract features reflecting waveform distribution, zero-crossing rate, micro-motion, and local movement fragmentation. ADHD symptoms and broader emotional and behavioral difficulties were assessed using the SNAP-IV and SDQ. The results showed that the X-axis zero-crossing rate was the most robust feature differentiating the High ADHD and Low ADHD groups across the T-task and F-task recordings. X-axis zero-crossing rate reached statistical significance (

Indexed as

Attention Deficit Disorder with HyperactivityWearable Electronic DevicesAccelerometryAdolescentChildCross-Sectional StudiesFemaleHumansMaleADHDadolescentsdigital phenotypingmotor behaviormovement fragmentationwearable accelerometry

Identifiers

PMID42345879
PMCPMC13297289

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.