Digital Phenotyping of Childhood Internalizing Disorders

Articles regarding digital phenotyping of childhood internalizing disorders, the use of wearable sensors, and digital health applications

For ChAMP-specific publications, see the ChAMP Background page.

• https://mashable.com/article/wearable-sensor-kids-anxiety-depression

• https://www.technologynetworks.com/informatics/news/wearable-sensor-offers-improved-way-of-detecting-anxiety-in-children-314113

• https://www.inverse.com/article/52525-childhood-anxiety-disorders-wearable-sensor

• https://www.chiefhealthcareexecutive.com/view/wearable-sensors-highly-accurate-at-diagnosing-children-with-anxiety-depression

• https://www.med-technews.com/news/wearable-sensors-could-help-identify-depression-and-anxiety-/

• https://www.sciencedaily.com/releases/2019/01/190116140640.htm

• https://www.psypost.org/2019/03/study-finds-a-wearable-sensor-can-detect-hidden-anxiety-and-depression-in-young-children-53248

• https://www.labroots.com/trending/technology/13818/wearable-sensor-helps-detect-childhood-anxiety

• https://sciencenode.org/feature/Hidden%20depression.php

• https://www.wired.co.uk/article/mental-health-wearable-medtech

• https://www.medicaldesignbriefs.com/component/content/article/mdb/insiders/mdb/stories/33755

• https://studyfinds.org/wearable-device-accurately-detects-anxiety-depression-young-children-in-seconds/

• https://www.technowize.com/this-wearable-sensor-can-detect-anxiety-depression-in-children/

• Scheper FY, Visser JC. Commentary: Timely recognition of mental health needs in young children - parental perception as a way for professionals to understand child, parent, and family needs? - a commentary on McGinnis et al. (2021). Child Adolesc Ment Health. 2022;27(3):265-267. doi:10.1111/camh.12535

• Welch V, Wy TJ, Ligezka A, et al. Use of Mobile and Wearable Artificial Intelligence in Child and Adolescent Psychiatry: Scoping Review. J Med Internet Res. 2022;24(3):e33560. Published 2022 Mar 14. doi:10.2196/33560

• Sheikh M, Qassem M, Kyriacou PA. Wearable, Environmental, and Smartphone-Based Passive Sensing for Mental Health Monitoring. Front Digit Health. 2021;3:662811. Published 2021 Apr 7. doi:10.3389/fdgth.2021.662811

Tangentially related articles

• Lopez-Duran NL, McGinnis E, Kuhlman K, Geiss E, Vargas I, Mayer S. HPA-axis stress reactivity in youth depression: evidence of impaired regulatory processes in depressed boys. Stress. 2015;18(5):545-553. doi:10.3109/10253890.2015.1053455

• Martinez-Torteya C, Muzik M, McGinnis EW, et al. Longitudinal examination of infant baseline and reactivity cortisol from ages 7 to 16 months. Dev Psychobiol. 2015;57(3):356-364. doi:10.1002/dev.21296

• Caye A, Marchionatti LE, Pereira R, et al. Identifying adolescents at risk for depression: Assessment of a global prediction model in the Great Smoky Mountains Study [published online ahead of print, 2022 Aug 20]. J Psychiatr Res. 2022;155:146-152. doi:10.1016/j.jpsychires.2022.08.017

• Teferra BG, Borwein S, DeSouza DD, Simpson W, Rheault L, Rose J. Acoustic and Linguistic Features of Impromptu Speech and Their Association With Anxiety: Validation Study. JMIR Ment Health. 2022;9(7):e36828. Published 2022 Jul 8. doi:10.2196/36828

• Richter T, Fishbain B, Richter-Levin G, Okon-Singer H. Machine Learning-Based Behavioral Diagnostic Tools for Depression: Advances, Challenges, and Future Directions. J Pers Med. 2021;11(10):957. Published 2021 Sep 26. doi:10.3390/jpm11100957

• Chen X, Pan Z. A Convenient and Low-Cost Model of Depression Screening and Early Warning Based on Voice Data Using for Public Mental Health. Int J Environ Res Public Health. 2021;18(12):6441. Published 2021 Jun 14. doi:10.3390/ijerph18126441

Datasets:

Our ChAMP dataset: ** NEED TO ADD **

• Raw IMU and behavior coding data

• Definition of the summary measures computed using IMU data from each phase of the mood induction task.

• Changes in IMU-derived movement variables and behavioral fear codes across threat response phases.

• Descriptive statistics of IMU-derived movement variables and behavioral fear codes during mood induction task.

• Pearson correlations between behavioral fear codes and IMU-derived movement variables.

• Correlations between parent-reported child behavior problems, child movement, and coded behavioral data.

• Motion and coded behavioral fear differences between children with and without internalizing diagnoses.

Other Related Mental Illness Digital Health Work From Our Team

• McGinnis RS, McGinnis EW, Petrillo C, Ferri J, Scism J, Price M. Validation of Smartphone Based Heart Rate Tracking for Remote Treatment of Panic Attacks. IEEE J Biomed Health Inform. 2021;25(3):656-662. doi:10.1109/JBHI.2020.3001573

• McGinnis E, O’Leary A, Gurchiek R, Copeland WE, McGinnis R. A Digital Therapeutic Intervention Delivering Biofeedback for Panic Attacks (PanicMechanic): Feasibility and Usability Study. JMIR Form Res. 2022;6(2):e32982. Published 2022 Feb 3. doi:10.2196/32982

Youth Internalizing Disorder Resources:

Depressive Mood Disorders

Anxiety