NCT05810636|Enrolling By Invitation
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Sponsor study identifier
observational
200
1 country
1
Study Start
February 16, 2022
Actual (reported)Primary Completion
December 31, 2026
EstimatedPlanned date reported by the registry; this milestone is not confirmed as achieved.
Study Completion
December 31, 2026
EstimatedPlanned date reported by the registry; this milestone is not confirmed as achieved.
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.
Registry-reported information. Elapsed time and enrollment totals alone do not measure study progress or recruitment pace.
December 31, 2026
EstimatedPlanned date reported by the registry; this milestone is not confirmed as achieved.
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Dates and qualifiers reported by the registry. Estimated dates do not confirm that a milestone has occurred.
February 16, 2022
Actual (reported)March 31, 2023
Actual (reported)April 12, 2023
Actual (reported)December 31, 2026
EstimatedPlanned date reported by the registry; this milestone is not confirmed as achieved.
December 31, 2026
EstimatedPlanned date reported by the registry; this milestone is not confirmed as achieved.
Acceleration
Arm Acceleration
24 hours for 30 days
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)
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
Wearing smartwatches to collect data
Registry-reported names are shown in full. Names without a link have not yet been matched to a Syfrah profile.
Students from 1st grade to 12th grade who are eligible based on the criteria.
National Taiwan University Hospital
Taipei, 10048, Taiwan
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.
First Submitted
March 31, 2023
First Posted
April 12, 2023
Study Start
February 16, 2022
Actual (reported)Primary Completion
December 31, 2026
EstimatedPharmacogenetic Studies on Attention Deficit Hyperactivity Disorder
Contact the study team to confirm eligibility.
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.
Martin JL, Hakim AD. Wrist actigraphy. Chest. 2011 Jun;139(6):1514-1527. doi: 10.1378/chest.10-1872.
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.
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.
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.
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.
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.
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.
Planned date reported by the registry; this milestone is not confirmed as achieved.
Study Completion
December 31, 2026
EstimatedPlanned date reported by the registry; this milestone is not confirmed as achieved.
Last Updated
July 31, 2026
Record last verified: 2026-07
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