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Social networks and symptomatic and functional outcomes in schizophrenia: a systematic review and meta-analysis
PURPOSE: To conduct a systematic review and meta-analysis to examine the strength of associations between social network size and clinical and functional outcomes in schizophrenia. METHOD: Studies were identified from a systematic search of electronic databases (EMBASE, Medline, PsycINFO, and Web of...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6133157/ https://www.ncbi.nlm.nih.gov/pubmed/29951929 http://dx.doi.org/10.1007/s00127-018-1552-8 |
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author | Degnan, Amy Berry, Katherine Sweet, Daryl Abel, Kathryn Crossley, Nick Edge, Dawn |
author_facet | Degnan, Amy Berry, Katherine Sweet, Daryl Abel, Kathryn Crossley, Nick Edge, Dawn |
author_sort | Degnan, Amy |
collection | PubMed |
description | PURPOSE: To conduct a systematic review and meta-analysis to examine the strength of associations between social network size and clinical and functional outcomes in schizophrenia. METHOD: Studies were identified from a systematic search of electronic databases (EMBASE, Medline, PsycINFO, and Web of Science) from January 1970 to June 2016. Eligible studies included peer-reviewed English language articles that examined associations between a quantitative measure of network size and symptomatic and/or functional outcome in schizophrenia-spectrum diagnoses. RESULTS: Our search yielded 16 studies with 1,929 participants. Meta-analyses using random effects models to calculate pooled effect sizes (Hedge’s g) found that smaller social network size was moderately associated with more severe overall psychiatric symptoms (N = 5, n = 467, g = − 0.53, 95% confidence interval (CI) = − 0.875, − 0.184, p = 0.003) and negative symptoms (N = 8, n = 577, g = − 0.75, 95% CI = − 0.997, − 0.512, p = 0.000). Statistical heterogeneity was observed I(2) = 63.04%; I(2) = 35.75%,) which could not be explained by low-quality network measures or sample heterogeneity in sensitivity analyses. There was no effect for positive symptoms (N = 7, n = 405, g = − 0.19, 95% CI = 0.494, 0.110, p = 0.213) or social functioning (N = 3, n = 209, g = 0.36, 95% CI = − 0.078, 0.801, p = 0.107). Narrative synthesis suggested that larger network size was associated with improved global functioning, but findings for affective symptoms and quality of life were mixed. CONCLUSION: Psychosocial interventions which support individuals to build and maintain social networks may improve outcomes in schizophrenia. The review findings are cross-sectional and thus causal direction cannot be inferred. Further research is required to examine temporal associations between network characteristics and outcomes in schizophrenia and to test theoretical models relating to explanatory or mediating mechanisms. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00127-018-1552-8) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6133157 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-61331572018-09-14 Social networks and symptomatic and functional outcomes in schizophrenia: a systematic review and meta-analysis Degnan, Amy Berry, Katherine Sweet, Daryl Abel, Kathryn Crossley, Nick Edge, Dawn Soc Psychiatry Psychiatr Epidemiol Review PURPOSE: To conduct a systematic review and meta-analysis to examine the strength of associations between social network size and clinical and functional outcomes in schizophrenia. METHOD: Studies were identified from a systematic search of electronic databases (EMBASE, Medline, PsycINFO, and Web of Science) from January 1970 to June 2016. Eligible studies included peer-reviewed English language articles that examined associations between a quantitative measure of network size and symptomatic and/or functional outcome in schizophrenia-spectrum diagnoses. RESULTS: Our search yielded 16 studies with 1,929 participants. Meta-analyses using random effects models to calculate pooled effect sizes (Hedge’s g) found that smaller social network size was moderately associated with more severe overall psychiatric symptoms (N = 5, n = 467, g = − 0.53, 95% confidence interval (CI) = − 0.875, − 0.184, p = 0.003) and negative symptoms (N = 8, n = 577, g = − 0.75, 95% CI = − 0.997, − 0.512, p = 0.000). Statistical heterogeneity was observed I(2) = 63.04%; I(2) = 35.75%,) which could not be explained by low-quality network measures or sample heterogeneity in sensitivity analyses. There was no effect for positive symptoms (N = 7, n = 405, g = − 0.19, 95% CI = 0.494, 0.110, p = 0.213) or social functioning (N = 3, n = 209, g = 0.36, 95% CI = − 0.078, 0.801, p = 0.107). Narrative synthesis suggested that larger network size was associated with improved global functioning, but findings for affective symptoms and quality of life were mixed. CONCLUSION: Psychosocial interventions which support individuals to build and maintain social networks may improve outcomes in schizophrenia. The review findings are cross-sectional and thus causal direction cannot be inferred. Further research is required to examine temporal associations between network characteristics and outcomes in schizophrenia and to test theoretical models relating to explanatory or mediating mechanisms. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00127-018-1552-8) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2018-06-27 2018 /pmc/articles/PMC6133157/ /pubmed/29951929 http://dx.doi.org/10.1007/s00127-018-1552-8 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Review Degnan, Amy Berry, Katherine Sweet, Daryl Abel, Kathryn Crossley, Nick Edge, Dawn Social networks and symptomatic and functional outcomes in schizophrenia: a systematic review and meta-analysis |
title | Social networks and symptomatic and functional outcomes in schizophrenia: a systematic review and meta-analysis |
title_full | Social networks and symptomatic and functional outcomes in schizophrenia: a systematic review and meta-analysis |
title_fullStr | Social networks and symptomatic and functional outcomes in schizophrenia: a systematic review and meta-analysis |
title_full_unstemmed | Social networks and symptomatic and functional outcomes in schizophrenia: a systematic review and meta-analysis |
title_short | Social networks and symptomatic and functional outcomes in schizophrenia: a systematic review and meta-analysis |
title_sort | social networks and symptomatic and functional outcomes in schizophrenia: a systematic review and meta-analysis |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6133157/ https://www.ncbi.nlm.nih.gov/pubmed/29951929 http://dx.doi.org/10.1007/s00127-018-1552-8 |
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