UVM KID Study
Conference Year
January 2023
Abstract
The UVM KID Study aims to develop and incorporate digital technology for diagnostic assessments of internalizing disorders in children. Children complete tasks meant to induce mood responses while their data is collected via wearable digital devices and biosensors. While the study requires specialized equipment and meticulous procedures, it has been found to predict internalizing disorders with 75-80% accuracy. Currently, mental health diagnoses are subjective and often inaccessible. This study intends to utilize objective and quantifiable data in diagnoses to strengthen the current screening approaches. The pros and cons of the use of objective biomarkers in clinical assessment will be analyzed.
Primary Faculty Mentor Name
Ellen McGinnis
Graduate Student Mentors
Shania Prytherch
Status
Undergraduate
Student College
College of Nursing and Health Sciences
Second Student College
Graduate College
Program/Major
Health Sciences
Primary Research Category
Clinical
UVM KID Study
The UVM KID Study aims to develop and incorporate digital technology for diagnostic assessments of internalizing disorders in children. Children complete tasks meant to induce mood responses while their data is collected via wearable digital devices and biosensors. While the study requires specialized equipment and meticulous procedures, it has been found to predict internalizing disorders with 75-80% accuracy. Currently, mental health diagnoses are subjective and often inaccessible. This study intends to utilize objective and quantifiable data in diagnoses to strengthen the current screening approaches. The pros and cons of the use of objective biomarkers in clinical assessment will be analyzed.