TY - JOUR
T1 - Digital phenotyping and the COVID-19 pandemic
T2 - Capturing behavioral change in patients with psychiatric disorders
AU - Jagesar, Raj R.
AU - Roozen, Mila C.
AU - van der Heijden, Inge
AU - Ikani, Nessa
AU - Tyborowska, Anna
AU - Penninx, Brenda W.J.H.
AU - Ruhe, Henricus G.
AU - Sommer, Iris E.C.
AU - Kas, Martien J.
AU - Vorstman, Jacob A.S.
N1 - Funding Information: NESDA: The infrastructure for the NESDA study ( www.nesda.nl ) has been funded through the Geestkracht program of the Netherlands Organisation for Health Research and Development (ZonMw, grant number 10-000-1002 ) and by participating universities and mental health care organizations (Amsterdam University Medical Centers (location VUmc), GGZ inGeest, Leiden University Medical Center, University Medical Center Groningen, University of Groningen, Lentis, GGZ Friesland, GGZ Drenthe, Rob Giel Onderzoekcentrum). Funding Information: HAMMLET: The HAMLETT project is financed by ZonMW, #348041003 Publisher Copyright: © 2020 Copyright: Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/1
Y1 - 2021/1
N2 - The COVID-19 pandemic has led to unprecedented societal changes limiting us in our mobility and our ability to connect with others in person. These unusual but widespread changes provide a unique opportunity for studies using digital phenotyping tools. Digital phenotyping tools, such as mobile passive monitoring platforms (MPM), provide a new perspective on human behavior and hold promise to improve human behavioral research. However, there is currently little evidence that these tools can reliably detect changes in behavior. Considering the Considering the COVID-19 pandemic as a high impact common environmental factor we studied potential impact on behavior of participants using our mobile passive monitoring platform BEHAPP that was ambulatory tracking them during the COVID-19 pandemic. We pooled data from three MPM studies involving Schizophrenia (SZ), Major Depressive Disorder (MDD) and Bipolar Disorder (BD) patients (N = 12). We compared the data collected on weekdays during three weeks prior and three weeks subsequent to the start of the quarantine. We hypothesized an increase in communication and a decrease in mobility. We observed a significant increase in the total time spent on communication applications (median 179 and 243 min per week respectively, p = 0.005), and a significant decrease in the number of unique places visited (median 6 and 3 visits per week respectively, p = 0.007), while the total time spent at home did not change significantly (median 64 and 77 h per week, respectively, p = 0.594). The data provides a proof of principle that digital phenotyping tools can identify changes in human behavior incited by a common external environmental factor.
AB - The COVID-19 pandemic has led to unprecedented societal changes limiting us in our mobility and our ability to connect with others in person. These unusual but widespread changes provide a unique opportunity for studies using digital phenotyping tools. Digital phenotyping tools, such as mobile passive monitoring platforms (MPM), provide a new perspective on human behavior and hold promise to improve human behavioral research. However, there is currently little evidence that these tools can reliably detect changes in behavior. Considering the Considering the COVID-19 pandemic as a high impact common environmental factor we studied potential impact on behavior of participants using our mobile passive monitoring platform BEHAPP that was ambulatory tracking them during the COVID-19 pandemic. We pooled data from three MPM studies involving Schizophrenia (SZ), Major Depressive Disorder (MDD) and Bipolar Disorder (BD) patients (N = 12). We compared the data collected on weekdays during three weeks prior and three weeks subsequent to the start of the quarantine. We hypothesized an increase in communication and a decrease in mobility. We observed a significant increase in the total time spent on communication applications (median 179 and 243 min per week respectively, p = 0.005), and a significant decrease in the number of unique places visited (median 6 and 3 visits per week respectively, p = 0.007), while the total time spent at home did not change significantly (median 64 and 77 h per week, respectively, p = 0.594). The data provides a proof of principle that digital phenotyping tools can identify changes in human behavior incited by a common external environmental factor.
KW - Covid-19
KW - Digital phenotyping
KW - Mobile passive monitoring
KW - Psychiatric disorders
KW - Social behavior
UR - http://www.scopus.com/inward/record.url?scp=85097732838&partnerID=8YFLogxK
U2 - https://doi.org/10.1016/j.euroneuro.2020.11.012
DO - https://doi.org/10.1016/j.euroneuro.2020.11.012
M3 - Article
C2 - 33298386
SN - 0924-977X
VL - 42
SP - 115
EP - 120
JO - European neuropsychopharmacology
JF - European neuropsychopharmacology
ER -