ArticlePloS one2018
Wearable sensors detect childhood internalizing disorders during mood induction task.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Using Wearables in Mental Health Care for Children and Adolescents: A Scoping Review.Research on child and adolescent psychopathology · 2026Article
- Research on the application of LLaVA model based on QLoRA fine-tuning in medical teaching.PloS one · 2026Article
- Targeting neurobehavioral substrates of effortful control to reduce childhood anxiety: The Camp Kidpower study protocol.Research square · 2025Article
- Using Wearable Digital Devices to Screen Children for Mental Health Conditions: Ethical Promises and Challenges.Sensors (Basel, Switzerland) · 2024Review
- The ChAMP App: A Scalable mHealth Technology for Detecting Digital Phenotypes of Early Childhood Mental Health.IEEE journal of biomedical and health informatics · 2023Article
- The ChAMP App: A Scalable mHealth Technology for Detecting Digital Phenotypes of Early Childhood Mental Health.medRxiv : the preprint server for health sciences · 2023Article
- Wearable devices for anxiety & depression: A scoping review.Computer methods and programs in biomedicine update · 2023Article
- Advancing Digital Medicine with Wearables in the Wild.Sensors (Basel, Switzerland) · 2022Article
- Digital Phenotype for Childhood Internalizing Disorders: Less Positive Play and Promise for a Brief Assessment Battery.IEEE journal of biomedical and health informatics · 2021Article
- Wearable, Environmental, and Smartphone-Based Passive Sensing for Mental Health Monitoring.Frontiers in digital health · 2021Review
- Giving Voice to Vulnerable Children: Machine Learning Analysis of Speech Detects Anxiety and Depression in Early Childhood.IEEE journal of biomedical and health informatics · 2019Article
- Rapid detection of internalizing diagnosis in young children enabled by wearable sensors and machine learning.PloS one · 2019Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
There is a significant need to develop objective measures for identifying children under the age of 8 who have anxiety and depression. If left untreated, early internalizing symptoms can lead to adolescent and adult internalizing disorders as well as comorbidity which can yield significant health problems later in life including increased risk for suicide. To this end, we propose the use of an instrumented fear induction task for identifying children with internalizing disorders, and demonstrate its efficacy in a sample of 63 children between the ages of 3 and 7. In so doing, we extract objective measures that capture the full six degree-of-freedom movement of a child using data from a belt-worn inertial measurement unit (IMU) and relate them to behavioral fear codes, parent-reported child symptoms and clinician-rated child internalizing diagnoses. We find that IMU motion data, but not behavioral codes, are associated with parent-reported child symptoms and clinician-reported child internalizing diagnosis in this sample. These results demonstrate that IMU motion data are sensitive to behaviors indicative of child psychopathology. Moreover, the proposed IMU-based approach has increased feasibility of collection and processing compared to behavioral codes, and therefore should be explored further in future studies.
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Registered trials
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