{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T22:12:54Z","timestamp":1790115174384,"version":"4.0.1"},"reference-count":61,"publisher":"JMIR Publications Inc.","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JMIR Mhealth Uhealth"],"abstract":"Abstract<\/jats:title>\n \n Background<\/jats:title>\n Digital phenotyping provides insights into an individual\u2019s digital behaviors and has potential clinical utility.<\/jats:p>\n <\/jats:sec>\n \n Objective<\/jats:title>\n In this observational study, we explored digital biomarkers collected from wrist-wearable devices and smartphones and their associations with clinical symptoms and functioning in patients with schizophrenia.<\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n We recruited 100 outpatients with schizophrenia spectrum disorder, and we collected various digital data from commercially available wrist wearables and smartphones over a 6-month period. In this report, we analyzed the first week of digital data on heart rate, sleep, and physical activity from the wrist wearables and travel distance, sociability, touchscreen tapping speed, and screen time from the smartphones. We analyzed the relationships between these digital measures and patient baseline measurements of clinical symptoms assessed with the Positive and Negative Syndrome Scale, Brief Negative Symptoms Scale, and Calgary Depression Scale for Schizophrenia, as well as functioning as assessed with the Social and Occupational Functioning Assessment Scale. Linear regression was performed for each digital and clinical measure independently, with the digital measures being treated as predictors.<\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n Digital data were successfully collected from both the wearables and smartphones throughout the study, with 91% of the total possible data successfully collected from the wearables and 82% from the smartphones during the first week of the trial\u2014the period under analysis in this report. Among the clinical outcomes, negative symptoms were associated with the greatest number of digital measures (10 of the 12 studied here), followed by overall measures of psychopathology symptoms, functioning, and positive symptoms, which were each associated with at least 3 digital measures. Cognition and cognitive\/disorganization symptoms were each associated with 1 or 2 digital measures.<\/jats:p>\n <\/jats:sec>\n \n Conclusions<\/jats:title>\n We found significant associations between nearly all digital measures and a wide range of symptoms and functioning in a community sample of individuals with schizophrenia. These findings provide insights into the digital behaviors of individuals with schizophrenia and highlight the potential of using commercially available wrist wearables and smartphones for passive monitoring in schizophrenia.<\/jats:p>\n <\/jats:sec>","DOI":"10.2196\/56185","type":"journal-article","created":{"date-parts":[[2025,2,6]],"date-time":"2025-02-06T05:23:36Z","timestamp":1738819416000},"page":"e56185-e56185","source":"Crossref","is-referenced-by-count":14,"title":["Utility of Digital Phenotyping Based on Wrist Wearables and Smartphones in Psychosis: Observational 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