Evidence map›Paper›PMID 39011341›Full record

ArticleFrontiers in psychiatry2024

A quantitative analysis of fidgeting in ADHD and its relation to performance and sustained attention on a cognitive task.

Ha Min Son, Catrina Andaya Calub, Boyang Fan, J Faye Dixon, Shahbaz Rezaei, Jared Borden, Julie B Schweitzer, Xin Liu

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
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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

8 authors.

Ha Min SonDepartment of Computer Science, University of California, Davis, Davis, CA, United States.
Catrina Andaya CalubDepartment of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento, CA, United States.
Boyang FanDepartment of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento, CA, United States.
J Faye DixonDepartment of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento, CA, United States.
Shahbaz RezaeiDepartment of Computer Science, University of California, Davis, Davis, CA, United States.
Jared BordenDepartment of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento, CA, United States.
Julie B SchweitzerDepartment of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento, CA, United States.
Xin LiuDepartment of Computer Science, University of California, Davis, Davis, CA, United States.

Funding

Interdisciplinary Training for Autism Researchers(RMI)T32MH073124 · NIMH · UNIVERSITY OF CALIFORNIA DAVIS · PI Stephen Charles Noctor, Christine Wu Nordahl · 2004 to 2026
$6.8M
Can fidgeting lead to enhanced attention and emotional regulation in adult ADHD?R21MH121901 · NIMH · UNIVERSITY OF CALIFORNIA AT DAVIS · PI SCHWEITZER, JULIE B. · 2020 to 2022
$535k
NIMH NIH HHS R21 MH121901NIMH NIH HHS T32 MH073124
6 · The paper itself

Abstract

Introduction: Attention-Deficit/Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder where hyperactivity often manifests as fidgeting, a non-goal-directed motoric action. Many studies demonstrate fidgeting varies under different conditions as a self-regulating mechanism for attention and alertness during cognitively demanding tasks. Fidgeting has also been associated with reaction time variability. However, a lack of standard variables to define and quantify fidgeting can lead to discrepancies in data and interpretability issues across studies. Furthermore, little is known about fidgeting in adults with ADHD compared to youth. This study aims to design a framework to quantify meaningful fidgeting variables and to apply them to test the relation between fidgeting and performance on a cognitive task, the Flanker, in adults with ADHD. Method: Our study included 70 adult participants diagnosed with ADHD, aged 18-50 years (30.5 ± 7.2 years). Screening included a structured clinical interview, childhood, current self and current observer ratings of ADHD symptoms. Actigraphy devices were attached to the left wrist and right ankle during completion of a cognitive control, attention task (the Flanker). Laboratory testing was subsequently completed on a single day. The relation between task performance, reaction time variability and fidgeting was examined. Results and Discussion: Our analysis revealed increased fidgeting during correct trials as defined by our new variables, consistent with previous observations. Furthermore, differences in fidgeting were observed between early and later trials while the percentage of correct trials were not significantly different. This suggests a relation between the role of fidgeting and sustaining attention. Participants with low reaction time variability, that is, those with more consistent reaction times, fidgeted more during later trials. This observation supports the theory that fidgeting aids arousal and improves sustained attention. Finally, a correlation analysis using ADHD-symptom rating scales validated the relevance of the fidget variables in relation to ADHD symptom severity. These findings suggest fidgeting may be a compensatory mechanism that aids in sustained attention for those with ADHD, although alternative explanations exist. Conclusion: Our study suggests that fidgeting may aid in sustained attention during the attention-demanding, cognitive control processes for adults with ADHD, with more fidgeting observed during correct trials and among participants with lower reaction time variability. Furthermore, the newly defined fidget variables were validated through a significant correlation with ADHD rating scales. By sharing our implementation of fidget variables, we hope to standardize and encourage further quantitative research into the role of fidgeting in ADHD.

Indexed as

accelerometeractigraphyadult ADHDfidgetingflanker

Identifiers

PMID39011341
PMCPMC11246969

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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.