Evidence map›Paper›PMID 39658696›Full record

ArticleSocial psychiatry and psychiatric epidemiology2025

Social network reductions are associated with negative symptoms in schizophrenia.

Luyu Zhang, Sydney H James, Jennifer Standridge, Ruth Condray, Daniel N Allen, Gregory P Strauss

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Article in Social psychiatry and psychiatric epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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4 citing papers in PubMed.

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5 · Who and what money

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6 authors.

Luyu ZhangDepartment of Psychology, University of Georgia, 125 Baldwin St, Athens, GA, 30602, USA.
Sydney H JamesDepartment of Psychology, University of Georgia, 125 Baldwin St, Athens, GA, 30602, USA.
Jennifer StandridgeDepartment of Psychology, University of Nevada, Las Vegas, NV, USA.
Ruth CondrayDepartment of Psychology, University of Nevada, Las Vegas, NV, USA.
Daniel N AllenDepartment of Psychology, University of Nevada, Las Vegas, NV, USA.
Gregory P StraussDepartment of Psychology, University of Georgia, 125 Baldwin St, Athens, GA, 30602, USA. gstrauss@uga.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA recent environmental systems theory of negative symptoms in schizophrenia (SZ) proposes a role for reductions in social networks that exist within microsystems (i.e., the contexts in which social interactions occur). However, it is unclear which aspects of social networks are most impacted in SZ and whether these are differentially associated with specific domains of negative symptoms. The current study aimed to address these gaps in the literature using a novel social network tool in combination with Ecological Momentary Assessment (EMA) and clinical ratings of negative symptoms.

methodsParticipants included 40 outpatients diagnosed with SZ and 35 demographically matched healthy controls (CN) who completed the sociogram, Brief Negative Symptom Scale (BNSS), and 7 days of EMA surveys assessing anhedonia, avolition, and asociality. ANOVAs examined group differences in social network characteristics. Correlations examined associations between social network characteristics and negative symptoms measured via the BNSS and EMA.

resultsResults indicated that: (1) SZ had greater social network reductions than CN, including lower: network density, number of microsystems, people in microsystems, connections across and within microsystems (p's < 0.05, d-value range 0.58 to 0.74); (2) these social network reductions were associated with greater severity of negative symptoms on the BNSS (r range - 0.28-0.34, p < .05) and asociality measured via EMA surveys (r's = - 0.24 to - 0.26, p's < 0.05).

conclusionsFindings clarified the nature of social network dysfunction in SZ and identify novel targets for psychosocial interventions focused on modifying the number of social microsystems and the connections within/across these microsystems.

Indexed as

SchizophreniaSchizophrenic PsychologySocial NetworkingSocial SupportAdultAnhedoniaCase-Control StudiesEcological Momentary AssessmentFemaleHumansMaleMiddle AgedNegative symptomsSchizophreniaSocial NetworkSociogram

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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.