TY  - JOUR
PY  - 2019//
TI  - Capturing behavioral indicators of persecutory ideation using mobile technology
JO  - Journal of psychiatric research
A1  - Buck, Benjamin
A1  - Hallgren, Kevin A.
A1  - Scherer, Emily
A1  - Brian, Rachel
A1  - Wang, Rui
A1  - Wang, Weichen
A1  - Campbell, Andrew
A1  - Choudhury, Tanzeem
A1  - Hauser, Marta
A1  - Kane, John M.
A1  - Ben-Zeev, Dror
SP  - 112
EP  - 117
VL  - 116
IS  - 
N2  - Most existing measures of persecutory ideation (PI) rely on infrequent in-person visits, and this limits their ability to assess rapid changes or real-world functioning. Mobile health (mHealth) technology may address these limitations. Little is known about passively sensed behavioral indicators associated with PI. In the current study, sixty-two participants with schizophrenia spectrum disorders completed momentary assessments of PI on a smartphone that also passively collected behavioral data for one year. <br><br>RESULTS suggested that PI was prevalent (n = 50, 82% of sample) but had infrequent incidence (25.2% of EMA responses). PI was also associated with changes in several passively sensed variables, including decreases in distance traveled (M<sub>kilometers</sub> = -1.20, SD = 18.88), time spent in a vehicle (M<sub>minutes</sub> = -4.15, SD = 49.59), length of outgoing phone calls (M<sub>minutes</sub> = -0.79, SD = 13.13), time spent proximal to human speech (M<sub>minutes</sub> = -6.26, SD = 153.03), and an increase in time sitting still (M<sub>minutes</sub> = 4.04, SD = 94.69). The present study suggests changes associated with PI may be detectable by passive sensors, including reductions in moving or traveling, and time spent around others or in self-initiated phone conversations. These constructs might constitute risk for PI.<br><br>Published by Elsevier Ltd.<p />  <p>Language: en</p>
LA  - en
SN  - 0022-3956
UR  - http://dx.doi.org/10.1016/j.jpsychires.2019.06.002
ID  - ref1
ER  -