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Peer‐adult network structure and suicide attempts in 38 high schools: implications for network‐informed suicide prevention
BACKGROUND: Strengthening social integration could prevent suicidal behavior. However, minimal research has examined social integration through relationship network structure. To address this important gap, we tested whether structural characteristics of school networks predict school rates of ideat...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6742527/ https://www.ncbi.nlm.nih.gov/pubmed/31392720 http://dx.doi.org/10.1111/jcpp.13102 |
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author | Wyman, Peter A. Pickering, Trevor A. Pisani, Anthony R. Rulison, Kelly Schmeelk‐Cone, Karen Hartley, Chelsey Gould, Madelyn Caine, Eric D. LoMurray, Mark Brown, Charles Hendricks Valente, Thomas W. |
author_facet | Wyman, Peter A. Pickering, Trevor A. Pisani, Anthony R. Rulison, Kelly Schmeelk‐Cone, Karen Hartley, Chelsey Gould, Madelyn Caine, Eric D. LoMurray, Mark Brown, Charles Hendricks Valente, Thomas W. |
author_sort | Wyman, Peter A. |
collection | PubMed |
description | BACKGROUND: Strengthening social integration could prevent suicidal behavior. However, minimal research has examined social integration through relationship network structure. To address this important gap, we tested whether structural characteristics of school networks predict school rates of ideation and attempts. METHODS: In 38 US high schools, 10,291 students nominated close friends and trusted adults to construct social networks. We used mixed‐effects logistic regression models to test individual student networks and likelihood of suicidal ideation (SI) and suicide attempts (SA); and linear regression models to estimate associations between school network characteristics and school rates of SI, SA, and SA among all with ideation. RESULTS: Lower peer network integration and cohesion increased likelihood of SI and SA across individual and school‐level models. Two factors increased SA: student isolation from adults and suicidal students’ popularity and clustering. A multivariable model identified higher SA in schools where youth–adult relationships were concentrated in fewer students (B = 4.95 [1.46, 8.44]) and suicidal students had higher relative popularity versus nonsuicidal peers (B = 0.93 [0.10, 1.77]). Schools had lower SA rates when more students named the same trusted adults named by friends and many students named the same trusted adults. When adjusting for depression, violence victimization and bullying, estimates for adult network characteristics were substantially unchanged whereas some peer effects decreased. CONCLUSIONS: Schoolwide peer and youth–adult relationship patterns influence SA rates beyond individual student connections. Network characteristics associated with suicide attempts map onto three theory‐informed domains: social integration versus thwarted relational needs, group cohesion, and suicidal students’ social influence. Network interventions addressing these processes, such as maximizing youth–adult connections schoolwide and heightening influence of youth with healthy coping, could create more protective schools. Longitudinal and intervention studies are needed to determine how schools differentiate in network structure and clarify reciprocal dynamics between network characteristics and suicidal behavior. |
format | Online Article Text |
id | pubmed-6742527 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-67425272019-10-07 Peer‐adult network structure and suicide attempts in 38 high schools: implications for network‐informed suicide prevention Wyman, Peter A. Pickering, Trevor A. Pisani, Anthony R. Rulison, Kelly Schmeelk‐Cone, Karen Hartley, Chelsey Gould, Madelyn Caine, Eric D. LoMurray, Mark Brown, Charles Hendricks Valente, Thomas W. J Child Psychol Psychiatry Original Articles BACKGROUND: Strengthening social integration could prevent suicidal behavior. However, minimal research has examined social integration through relationship network structure. To address this important gap, we tested whether structural characteristics of school networks predict school rates of ideation and attempts. METHODS: In 38 US high schools, 10,291 students nominated close friends and trusted adults to construct social networks. We used mixed‐effects logistic regression models to test individual student networks and likelihood of suicidal ideation (SI) and suicide attempts (SA); and linear regression models to estimate associations between school network characteristics and school rates of SI, SA, and SA among all with ideation. RESULTS: Lower peer network integration and cohesion increased likelihood of SI and SA across individual and school‐level models. Two factors increased SA: student isolation from adults and suicidal students’ popularity and clustering. A multivariable model identified higher SA in schools where youth–adult relationships were concentrated in fewer students (B = 4.95 [1.46, 8.44]) and suicidal students had higher relative popularity versus nonsuicidal peers (B = 0.93 [0.10, 1.77]). Schools had lower SA rates when more students named the same trusted adults named by friends and many students named the same trusted adults. When adjusting for depression, violence victimization and bullying, estimates for adult network characteristics were substantially unchanged whereas some peer effects decreased. CONCLUSIONS: Schoolwide peer and youth–adult relationship patterns influence SA rates beyond individual student connections. Network characteristics associated with suicide attempts map onto three theory‐informed domains: social integration versus thwarted relational needs, group cohesion, and suicidal students’ social influence. Network interventions addressing these processes, such as maximizing youth–adult connections schoolwide and heightening influence of youth with healthy coping, could create more protective schools. Longitudinal and intervention studies are needed to determine how schools differentiate in network structure and clarify reciprocal dynamics between network characteristics and suicidal behavior. John Wiley and Sons Inc. 2019-08-08 2019-10 /pmc/articles/PMC6742527/ /pubmed/31392720 http://dx.doi.org/10.1111/jcpp.13102 Text en © 2019 The Authors. Journal of Child Psychology and Psychiatry published by John Wiley & Sons Ltd on behalf of Association for Child and Adolescent Mental Health. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Original Articles Wyman, Peter A. Pickering, Trevor A. Pisani, Anthony R. Rulison, Kelly Schmeelk‐Cone, Karen Hartley, Chelsey Gould, Madelyn Caine, Eric D. LoMurray, Mark Brown, Charles Hendricks Valente, Thomas W. Peer‐adult network structure and suicide attempts in 38 high schools: implications for network‐informed suicide prevention |
title | Peer‐adult network structure and suicide attempts in 38 high schools: implications for network‐informed suicide prevention |
title_full | Peer‐adult network structure and suicide attempts in 38 high schools: implications for network‐informed suicide prevention |
title_fullStr | Peer‐adult network structure and suicide attempts in 38 high schools: implications for network‐informed suicide prevention |
title_full_unstemmed | Peer‐adult network structure and suicide attempts in 38 high schools: implications for network‐informed suicide prevention |
title_short | Peer‐adult network structure and suicide attempts in 38 high schools: implications for network‐informed suicide prevention |
title_sort | peer‐adult network structure and suicide attempts in 38 high schools: implications for network‐informed suicide prevention |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6742527/ https://www.ncbi.nlm.nih.gov/pubmed/31392720 http://dx.doi.org/10.1111/jcpp.13102 |
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