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

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          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.

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          Most cited references64

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            The Positive and Negative Syndrome Scale (PANSS) for Schizophrenia

            The variable results of positive-negative research with schizophrenics underscore the importance of well-characterized, standardized measurement techniques. We report on the development and initial standardization of the Positive and Negative Syndrome Scale (PANSS) for typological and dimensional assessment. Based on two established psychiatric rating systems, the 30-item PANSS was conceived as an operationalized, drug-sensitive instrument that provides balanced representation of positive and negative symptoms and gauges their relationship to one another and to global psychopathology. It thus constitutes four scales measuring positive and negative syndromes, their differential, and general severity of illness. Study of 101 schizophrenics found the four scales to be normally distributed and supported their reliability and stability. Positive and negative scores were inversely correlated once their common association with general psychopathology was extracted, suggesting that they represent mutually exclusive constructs. Review of five studies involving the PANSS provided evidence of its criterion-related validity with antecedent, genealogical, and concurrent measures, its predictive validity, its drug sensitivity, and its utility for both typological and dimensional assessment.
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              A new depression scale designed to be sensitive to change

              The construction of a depression rating scale designed to be particularly sensitive to treatment effects is described. Ratings of 54 English and 52 Swedish patients on a 65 item comprehensive psychopathology scale were used to identify the 17 most commonly occurring symptoms in primary depressive illness in the combined sample. Ratings on these 17 items for 64 patients participating in studies of four different antidepressant drugs were used to create a depression scale consisting of the 10 items which showed the largest changes with treatment and the highest correlation to overall change. The inner-rater reliability of the new depression scale was high. Scores on the scale correlated significantly with scores on a standard rating scale for depression, the Hamilton Rating Scale (HRS), indicating its validity as a general severity estimate. Its capacity to differentiate between responders and non-responders to antidepressant treatment was better than the HRS, indicating greater sensitivity to change. The practical and ethical implications in terms of smaller sample sizes in clinical trials are discussed.
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                Author and article information

                Contributors
                Journal
                JMIR Ment Health
                JMIR Ment Health
                JMH
                mental
                16
                JMIR Mental Health
                JMIR Mental Health
                2368-7959
                2024
                3 July 2024
                : 11
                : e59198
                Affiliations
                [1 ]departmentDepartment of Psychiatry , McGill University , Montreal, QC, Canada
                [2 ]departmentLady Davis Institute for Medical Research , Jewish General Hospital , Montreal, QC, Canada
                [3 ]Douglas Mental Health University Institute , Montreal, QC, Canada
                [4 ]departmentSchool of Behavioral and Brain Sciences , The University of Texas at Dallas , Richardson, TX, United States
                [5 ]departmentDepartment of Psychiatry , University of California San Diego , La Jolla, CA, United States
                [6 ]departmentDepartment of Psychiatry and Behavioral Sciences , University of Miami , Miami, FL, United States
                Author notes
                VincentPaquinMD, Department of Psychiatry, McGill University, Ludmer Research & Training Building, 1033 Pine Avenue West, Montreal, QC, Canada, 1 514 398 2958; vincent.paquin2@ 123456mail.mcgill.ca

                RCM is a cofounder of KeyWise AI, Inc, and NeuroUX, Inc. The terms of these arrangements have been reviewed and approved by the University of California San Diego in accordance with its conflict of interests policies. PDH has received consulting fees or travel reimbursements from Alkermes, Bio Excel, Boehringer Ingelheim, Intra-Cellular Therapies, Minerva Pharma, Otsuka America, Regeneron, Roche Pharma, and Sunovion Pharma. He receives royalties from the Brief Assessment of Cognition in Schizophrenia and the MATRICS Consensus Battery. He is chief scientific officer of i-Function, Inc. The other authors declare no potential conflicts of interest.

                Author information
                http://orcid.org/0000-0001-9589-039X
                http://orcid.org/0000-0002-7409-114X
                http://orcid.org/0000-0002-1841-6229
                http://orcid.org/0000-0002-7499-041X
                http://orcid.org/0000-0001-7813-4701
                http://orcid.org/0000-0003-2803-4520
                Article
                59198
                10.2196/59198
                11238023
                38967418
                eb8482a3-af68-49d5-bcc6-8d6e42ca5d8f
                Copyright © Vincent Paquin, Robert A Ackerman, Colin A Depp, Raeanne C Moore, Philip D Harvey, Amy E Pinkham. Originally published in JMIR Mental Health (https://mental.jmir.org)

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Mental Health, is properly cited. The complete bibliographic information, a link to the original publication on https://mental.jmir.org/, as well as this copyright and license information must be included.

                History
                : 05 April 2024
                : 22 May 2024
                : 26 May 2024
                Categories
                Psychotic Disorders
                Original Paper
                Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine
                e-Mental Health and Cyberpsychology
                Peer-to-Peer Support and Online Communities
                Mass Media/Social Media Communication and Campaigns
                Psychiatry
                Mobile Health in Psychiatry

                paranoia,social media,digital media,technology,psychosis,schizophrenia,schizoaffective,bipolar disorder,ecological momentary assessment,spectrum,sociodemographic,linear mixed model,media use,mental health,digital intervention,adult,adults,medical center,mental health clinic,psychiatry,psychiatrist

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