Evidence map›Paper›PMID 36242786›Full record

ArticleSchizophrenia research2022

Smartphone-based mobility metrics capture daily social motivation and behavior in schizophrenia.

Jessica L Mow, David E Gard, Kim T Mueser, Jasmine Mote, Kathryn Gill, Lawrence Leung, Tairmae Kangarloo, Daniel Fulford

Open access · greenAbstract read
In one paragraph

Article in Schizophrenia research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
1.9field-weighted citation impact, top 14% of its field
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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Article
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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

8 authors at 2 institutions in 1 country.

Jessica L MowSargent College of Health and Rehabilitation Sciences, Boston University, 635 Commonwealth Avenue, Boston, MA, 02215, USA. Electronic address: jlmow@bu.edu.
David E GardPsychology Department, San Francisco State University, 1600 Holloway Avenue, San Francisco, CA 94132, USA.
Kim T MueserSargent College of Health and Rehabilitation Sciences, Boston University, 635 Commonwealth Avenue, Boston, MA, 02215, USA.
Jasmine MoteSargent College of Health and Rehabilitation Sciences, Boston University, 635 Commonwealth Avenue, Boston, MA, 02215, USA.
Kathryn GillSargent College of Health and Rehabilitation Sciences, Boston University, 635 Commonwealth Avenue, Boston, MA, 02215, USA.
Lawrence LeungPsychology Department, San Francisco State University, 1600 Holloway Avenue, San Francisco, CA 94132, USA.
Tairmae KangarlooSargent College of Health and Rehabilitation Sciences, Boston University, 635 Commonwealth Avenue, Boston, MA, 02215, USA.
Daniel FulfordSargent College of Health and Rehabilitation Sciences, Boston University, 635 Commonwealth Avenue, Boston, MA, 02215, USA.
Boston University · USSan Francisco State University · US

Funding

Enhancing Social Functioning in Schizophrenia through Scalable Mobile TechnologyR21MH111501 · NIMH · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI FULFORD, DANIEL C · 2017 to 2018
$459k
NIMH NIH HHS R21 MH111501
6 · The paper itself

Abstract

Impaired social functioning contributes to reduced quality of life and is associated with poor physical and psychological well-being in schizophrenia, and thus is a key psychosocial treatment target. Low social motivation contributes to impaired social functioning, but is typically examined using self-report or clinical ratings, which are prone to recall biases and do not adequately capture the dynamic nature of social motivation in daily life. In the current study, we examined the utility of global positioning system (GPS)-based mobility data for capturing social motivation and behavior in people with schizophrenia. Thirty-one participants with schizophrenia engaged in a 60-day mobile intervention designed to increase social motivation and functioning. We examined associations between twice daily self-reports of social motivation and behavior (e.g., number of social interactions) collected via Ecological Momentary Assessment (EMA) and passively collected daily GPS mobility metrics (e.g., number of hours spent at home) in 26 of these participants. Findings suggested that greater mobility on a given day was associated with more EMA-reported social interactions on that day for four out of five examined mobility metrics: number of hours spent at home, number of locations visited, probability of being stationary, and likelihood of following one's typical routine. In addition, greater baseline social functioning was associated with less daily time spent at home and lower probability of following a daily routine during the intervention. GPS-based mobility thus corresponds with social behavior in daily life, suggesting that more social interactions may occur at times of greater mobility in people with schizophrenia, while subjective reports of social interest and motivation are less associated with mobility for this population.

Indexed as

SchizophreniaEcological Momentary AssessmentHumansMotivationQuality of LifeSmartphoneSocial BehaviorGeo-locationMobilitySchizophreniaSocial behaviorSocial motivation

Identifiers

PMID36242786
PMCPMC10372850
OpenAlexW4304693960

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.