Evidence map›Paper›PMID 39912304›Full record

Observational studyJMIR mHealth and uHealth2025

Utility of Digital Phenotyping Based on Wrist Wearables and Smartphones in Psychosis: Observational Study.

Zixu Yang, Creighton Heaukulani, Amelia Sim, Thisum Buddhika, Nur Amirah Abdul Rashid, Xuancong Wang, Shushan Zheng, Yue Feng Quek, Sutapa Basu, Kok Wei Lee and 4 more

Abstract readObservational Study
In one paragraph

Observational study in JMIR mHealth and uHealth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Zixu Yang *North Region, Institute of Mental Health, Singapore, Singapore.ORCID 0000-0001-9863-8093
Creighton Heaukulani *Ministry of Health Office for Healthcare Transformation, Singapore, Singapore.ORCID 0000-0003-2046-7612
Amelia SimDepartment of Psychosis, Institute of Mental Health, Singapore, Singapore.ORCID 0000-0002-9190-9097
Thisum BuddhikaMinistry of Health Office for Healthcare Transformation, Singapore, Singapore.ORCID 0000-0001-8257-913X
Nur Amirah Abdul RashidNorth Region, Institute of Mental Health, Singapore, Singapore.ORCID 0000-0002-1047-3106
Xuancong WangMinistry of Health Office for Healthcare Transformation, Singapore, Singapore.ORCID 0000-0003-3080-5734
Shushan ZhengDepartment of Psychosis, Institute of Mental Health, Singapore, Singapore.ORCID 0000-0003-0224-3375
Yue Feng QuekNorth Region, Institute of Mental Health, Singapore, Singapore.ORCID 0000-0001-9650-5238
Sutapa BasuDepartment of Psychosis, Institute of Mental Health, Singapore, Singapore.ORCID 0000-0002-6393-3540
Kok Wei LeeDepartment of Psychosis, Institute of Mental Health, Singapore, Singapore.ORCID 0009-0000-6123-1724
Charmaine TangDepartment of Psychosis, Institute of Mental Health, Singapore, Singapore.ORCID 0000-0002-6248-2565
Swapna VermaDepartment of Psychosis, Institute of Mental Health, Singapore, Singapore.ORCID 0000-0003-1098-0842
Robert J T MorrisMinistry of Health Office for Healthcare Transformation, Singapore, Singapore.ORCID 0000-0001-8320-2393
Jimmy LeeNorth Region, Institute of Mental Health, Singapore, Singapore.ORCID 0000-0002-7724-7445

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Digital phenotyping provides insights into an individual's digital behaviors and has potential clinical utility. Objective: 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. Methods: 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. Results: 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-the 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. Conclusions: 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.

Indexed as

Psychotic DisordersSmartphoneWearable Electronic DevicesAdultFemaleHumansMaleMiddle AgedPhenotypeSchizophreniaWristdigital phenotypingmobile phonepsychosisschizophreniawrist wearables

Identifiers

PMID39912304
PMCPMC11822399

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.