Evidence map›Paper›PMID 38967418›Full record

ArticleJMIR mental health2024

Media Use and Its Associations With Paranoia in Schizophrenia and Bipolar Disorder: Ecological Momentary Assessment.

Vincent Paquin, Robert A Ackerman, Colin A Depp, Raeanne C Moore, Philip D Harvey, Amy E Pinkham

Abstract read
In one paragraph

Article in JMIR mental health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  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

6 authors.

Vincent PaquinDepartment of Psychiatry, McGill University, Montreal, QC, Canada.ORCID 0000-0001-9589-039X
Robert A AckermanSchool of Behavioral and Brain Sciences, The University of Texas at Dallas, Richardson, TX, United States.ORCID 0000-0002-7409-114X
Colin A DeppDepartment of Psychiatry, University of California San Diego, La Jolla, CA, United States.ORCID 0000-0002-1841-6229
Raeanne C MooreDepartment of Psychiatry, University of California San Diego, La Jolla, CA, United States.ORCID 0000-0002-7499-041X
Philip D HarveyDepartment of Psychiatry and Behavioral Sciences, University of Miami, Miami, FL, United States.ORCID 0000-0001-7813-4701
Amy E PinkhamSchool of Behavioral and Brain Sciences, The University of Texas at Dallas, Richardson, TX, United States.ORCID 0000-0003-2803-4520

Funding

Introspective Accuracy, Bias, and Everyday Functioning in Severe Mental IllnessR01MH112620 · NIMH · UNIVERSITY OF TEXAS DALLAS · PI PINKHAM, AMY · 2018 to 2021
$3.2M
NIMH NIH HHS R01 MH112620
6 · The paper itself

Abstract

Background: Paranoia is a spectrum of fear-related experiences that spans diagnostic categories and is influenced by social and cognitive factors. The extent to which social media and other types of media use are associated with paranoia remains unclear. Objective: We aimed to examine associations between media use and paranoia at the within- and between-person levels. Methods: Participants were 409 individuals diagnosed with schizophrenia spectrum or bipolar disorder. Measures included sociodemographic and clinical characteristics at baseline, followed by ecological momentary assessments (EMAs) collected 3 times daily over 30 days. EMA evaluated paranoia and 5 types of media use: social media, television, music, reading or writing, and other internet or computer use. Generalized linear mixed models were used to examine paranoia as a function of each type of media use and vice versa at the within- and between-person levels. Results: Of the 409 participants, the following subgroups reported at least 1 instance of media use: 261 (63.8%) for using social media, 385 (94.1%) for watching TV, 292 (71.4%) for listening to music, 191 (46.7%) for reading or writing, and 280 (68.5%) for other internet or computer use. Gender, ethnoracial groups, educational attainment, and diagnosis of schizophrenia versus bipolar disorder were differentially associated with the likelihood of media use. There was a within-person association between social media use and paranoia: using social media was associated with a subsequent decrease of 5.5% (fold-change 0.945, 95% CI 0.904-0.987) in paranoia. The reverse association, from paranoia to subsequent changes in social media use, was not statistically significant. Other types of media use were not significantly associated with paranoia. Conclusions: This study shows that social media use was associated with a modest decrease in paranoia, perhaps reflecting the clinical benefits of social connection. However, structural disadvantage and individual factors may hamper the accessibility of media activities, and the mental health correlates of media use may further vary as a function of contents and contexts of use.

Indexed as

Bipolar DisorderEcological Momentary AssessmentParanoid DisordersSchizophreniaSocial MediaAdultFemaleHumansMaleMiddle Agedadultadultsbipolar disorderdigital interventiondigital mediaecological momentary assessmentlinear mixed modelmedia usemedical centermental healthmental health clinicparanoiapsychiatristpsychiatrypsychosisschizoaffectiveschizophreniasocial mediasociodemographicspectrumtechnology

Identifiers

PMID38967418
PMCPMC11238023

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.