- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05810636
Hyperactivity Assessment in Children With Attention-deficit Hyperactivity Disorder
March 31, 2023 updated by: National Taiwan University Hospital
Attention-deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder characterized by inattention, hyperactivity, and impulsivity.
Clinical diagnosis of this disorder depends of history taking, parent report, and questionnaire.
Attention test such as continuous performance test can provide quantitative measurement on attention deficits; however, there is a lack of objective tool to quantify the activity level.
This study aims to assess activity level in children with ADHD.
We plan to recruit 50 children with ADHD and 50 neurotypical children.
The activity level measured by wearable device will be compared between ADHD and neurotypical children.
The correlation between behavior rating on questionnaire and quantitative data measured by wearable device will be analyzed.
Study Overview
Status
Enrolling by invitation
Intervention / Treatment
Study Type
Observational
Enrollment (Anticipated)
200
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
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-
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Taipei city, Taiwan, 10048
- National Taiwan University Hospital
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Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
Accepts Healthy Volunteers
Yes
Sampling Method
Non-Probability Sample
Study Population
Students from 1st grade to 12th grade who are eligible based on the criteria.
Description
ADHD group:
Inclusion criteria:
- DSM-5 Attention-deficit hyperactivity disorder
- 7~18 years old
- Willing to carry smartwatch and smartphone most of the time during one-month study period
Exclusion criteria:
- Comorbid with major psychiatric disorders (i.e., schizophrenia, bipolar disorder) or neurodevelopmental disorders (i.e., intellectual disability, autism spectrum disorder)
- Unable to use smartwatch and smartphone
Neurotypical group:
Inclusion criteria:
- 7~18 years old without a diagnosis of Attention-deficit hyperactivity disorder
- Willing to carry smartwatch and smartphone most of the time during one-month study period
Exclusion criteria:
- Have a diagnosis of major psychiatric disorders (i.e., schizophrenia, bipolar disorder) or neurodevelopmental disorders (i.e., intellectual disability, autism spectrum disorder)
- Unable to use smartwatch and smartphone
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
ADHD group
Inclusion criteria:
Exclusion criteria: - Comorbid with major psychiatric disorders (i.e., schizophrenia, bipolar disorder) or neurodevelopmental disorders (i.e., intellectual disability, autism spectrum disorder) |
Wearing smartwatches to collect data
|
|
Neurotypical group
Inclusion criteria:
Exclusion criteria:
|
Wearing smartwatches to collect data
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Acceleration
Time Frame: 24 hours for 30 days
|
Arm Acceleration
|
24 hours for 30 days
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Polanczyk G, de Lima MS, Horta BL, Biederman J, Rohde LA. The worldwide prevalence of ADHD: a systematic review and metaregression analysis. Am J Psychiatry. 2007 Jun;164(6):942-8. doi: 10.1176/ajp.2007.164.6.942.
- Swanson JM, Kraemer HC, Hinshaw SP, Arnold LE, Conners CK, Abikoff HB, Clevenger W, Davies M, Elliott GR, Greenhill LL, Hechtman L, Hoza B, Jensen PS, March JS, Newcorn JH, Owens EB, Pelham WE, Schiller E, Severe JB, Simpson S, Vitiello B, Wells K, Wigal T, Wu M. Clinical relevance of the primary findings of the MTA: success rates based on severity of ADHD and ODD symptoms at the end of treatment. J Am Acad Child Adolesc Psychiatry. 2001 Feb;40(2):168-79. doi: 10.1097/00004583-200102000-00011.
- Marzano L, Bardill A, Fields B, Herd K, Veale D, Grey N, Moran P. The application of mHealth to mental health: opportunities and challenges. Lancet Psychiatry. 2015 Oct;2(10):942-8. doi: 10.1016/S2215-0366(15)00268-0. Epub 2015 Sep 29.
- Martin JL, Hakim AD. Wrist actigraphy. Chest. 2011 Jun;139(6):1514-1527. doi: 10.1378/chest.10-1872.
- Burton C, McKinstry B, Szentagotai Tatar A, Serrano-Blanco A, Pagliari C, Wolters M. Activity monitoring in patients with depression: a systematic review. J Affect Disord. 2013 Feb 15;145(1):21-8. doi: 10.1016/j.jad.2012.07.001. Epub 2012 Aug 4.
- Cho CH, Lee T, Kim MG, In HP, Kim L, Lee HJ. Mood Prediction of Patients With Mood Disorders by Machine Learning Using Passive Digital Phenotypes Based on the Circadian Rhythm: Prospective Observational Cohort Study. J Med Internet Res. 2019 Apr 17;21(4):e11029. doi: 10.2196/11029. Erratum In: J Med Internet Res. 2019 Oct 3;21(10):e15966.
- Couronne R, Probst P, Boulesteix AL. Random forest versus logistic regression: a large-scale benchmark experiment. BMC Bioinformatics. 2018 Jul 17;19(1):270. doi: 10.1186/s12859-018-2264-5.
- Dogan E, Sander C, Wagner X, Hegerl U, Kohls E. Smartphone-Based Monitoring of Objective and Subjective Data in Affective Disorders: Where Are We and Where Are We Going? Systematic Review. J Med Internet Res. 2017 Jul 24;19(7):e262. doi: 10.2196/jmir.7006.
- Gau SS, Chen SJ, Chou WJ, Cheng H, Tang CS, Chang HL, Tzang RF, Wu YY, Huang YF, Chou MC, Liang HY, Hsu YC, Lu HH, Huang YS. National survey of adherence, efficacy, and side effects of methylphenidate in children with attention-deficit/hyperactivity disorder in Taiwan. J Clin Psychiatry. 2008 Jan;69(1):131-40. doi: 10.4088/jcp.v69n0118.
- Gau SS, Lin CH, Hu FC, Shang CY, Swanson JM, Liu YC, Liu SK. Psychometric properties of the Chinese version of the Swanson, Nolan, and Pelham, Version IV Scale-Teacher Form. J Pediatr Psychol. 2009 Sep;34(8):850-61. doi: 10.1093/jpepsy/jsn133. Epub 2008 Dec 12.
- Gau SS, Shang CY, Liu SK, Lin CH, Swanson JM, Liu YC, Tu CL. Psychometric properties of the Chinese version of the Swanson, Nolan, and Pelham, version IV scale - parent form. Int J Methods Psychiatr Res. 2008;17(1):35-44. doi: 10.1002/mpr.237.
- Leikauf JE, Correa C, Bueno AN, Sempere VP, Williams LM. StopWatch: Pilot study for an Apple Watch application for youth with ADHD. Digit Health. 2021 Apr 1;7:20552076211001215. doi: 10.1177/20552076211001215. eCollection 2021 Jan-Dec.
- Patel MS, Foschini L, Kurtzman GW, Zhu J, Wang W, Rareshide CAL, Zbikowski SM. Using Wearable Devices and Smartphones to Track Physical Activity: Initial Activation, Sustained Use, and Step Counts Across Sociodemographic Characteristics in a National Sample. Ann Intern Med. 2017 Nov 21;167(10):755-757. doi: 10.7326/M17-1495. Epub 2017 Sep 26. No abstract available.
- Reinertsen E, Clifford GD. A review of physiological and behavioral monitoring with digital sensors for neuropsychiatric illnesses. Physiol Meas. 2018 May 15;39(5):05TR01. doi: 10.1088/1361-6579/aabf64.
- Simon V, Czobor P, Balint S, Meszaros A, Bitter I. Prevalence and correlates of adult attention-deficit hyperactivity disorder: meta-analysis. Br J Psychiatry. 2009 Mar;194(3):204-11. doi: 10.1192/bjp.bp.107.048827.
- Tazawa Y, Wada M, Mitsukura Y, Takamiya A, Kitazawa M, Yoshimura M, Mimura M, Kishimoto T. Actigraphy for evaluation of mood disorders: A systematic review and meta-analysis. J Affect Disord. 2019 Jun 15;253:257-269. doi: 10.1016/j.jad.2019.04.087. Epub 2019 Apr 22.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
February 16, 2022
Primary Completion (Anticipated)
December 31, 2023
Study Completion (Anticipated)
December 31, 2023
Study Registration Dates
First Submitted
March 31, 2023
First Submitted That Met QC Criteria
March 31, 2023
First Posted (Actual)
April 12, 2023
Study Record Updates
Last Update Posted (Actual)
April 12, 2023
Last Update Submitted That Met QC Criteria
March 31, 2023
Last Verified
March 1, 2023
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 202110059RINB
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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