Evidence map›Paper›PMID 40170392›Full record

ArticleSchizophrenia bulletin2025

Digital Phenotyping Measurement of Smartphone Social Behavior is Associated with Illness Progression Risk Scores in Young People at Clinical High Risk for Psychosis.

Franchesca S Kuhney, Gregory P Strauss, Elaine F Walker, Sydney H James, Vijay A Mittal

Abstract read
In one paragraph

Article in Schizophrenia bulletin, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

5 authors.

Franchesca S KuhneyDepartment of Psychology, University of Illinois -  Chicago, IL, United States.ORCID 0000-0001-9460-0282
Gregory P StraussDepartment of Psychology, University of Georgia, Athens, GA, United States.
Elaine F WalkerDepartments of Psychology and Psychiatry, Emory University, Atlanta, GA, United States.ORCID 0000-0002-9798-8101
Sydney H JamesDepartment of Psychology, University of Georgia, Athens, GA, United States.
Vijay A MittalDepartment of Psychology, Northwestern University, Evanston, IL, United States.ORCID 0000-0001-9017-5119

Funding

Prodromal Inventory for Negative Symptoms (PINS): A Development and Validation StudyR01MH116039 · NIMH · UNIVERSITY OF GEORGIA · PI MITTAL, VIJAY A, STRAUSS, GREGORY P · 2019 to 2023
$3.1M
Mechanisms Underlying Emotion Regulation Abnormalities in Youth at Clinical High-Risk for PsychosisR21MH119438 · NIMH · UNIVERSITY OF GEORGIA · PI STRAUSS, GREGORY P · 2019 to 2020
$415k
NIMH NIH HHSNIMH NIH HHS R01 MH116039NIMH NIH HHS R21 MH119438
6 · The paper itself

Abstract

backgroundYoung people at clinical high risk for psychosis (CHR-p) commonly experience social impairment, which contributes to functional decline and predicts transition to psychotic illness. Although the use of smart phone technology and social media platforms for social interaction is widespread among today's youth, it is unclear whether aberrant digital social interactions contribute to risk for conversion and functional impairment in CHR-p. The current study sought to characterize the nature of social smartphone and social media use in a CHR-p sample and determine its association with clinical symptoms and risk for conversion to psychosis. STUDY

designCHR-p (n = 132) and HC (n = 61) participants completed clinical interviews and 6 days of digital phenotyping that monitored total smartphone use, ratio of outgoing to incoming text messages and phone calls, social media use, and ecological momentary assessment surveys focused on in-person and electronic social interactions. Study Results: CHR-p did not differ from HC in total smartphone use for social communication or active social media use. However, CHR-p participants reported significantly less daily passive social media use compared to HC peers, and decreased text message reciprocity predicted 1- and 2-year conversion risk.

conclusionsResults demonstrate a nuanced digital social landscape with divergent relationships from in-person social behavior and suggest online socialization has implications for high-precision identification and intervention strategies among the CHR-p population.

Indexed as

Disease ProgressionProdromal SymptomsPsychotic DisordersSmartphoneSocial BehaviorSocial InteractionSocial MediaText MessagingAdolescentAdultEcological Momentary AssessmentFemaleHumansMaleRiskYoung Adultdigital phenotypingpsychosis-risksocial functioningsocial mediatext messaging

Identifiers

PMID40170392
PMCPMC12597504

What Socratic holds

Textmetadata
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 Socratic graph.