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Peer‐adult network structure and suicide attempts in 38 high schools: implications for network‐informed suicide prevention
Author(s) -
Wyman Peter A.,
Pickering Trevor A.,
Pisani Anthony R.,
Rulison Kelly,
SchmeelkCone Karen,
Hartley Chelsey,
Gould Madelyn,
Caine Eric D.,
LoMurray Mark,
Brown Charles Hendricks,
Valente Thomas W.
Publication year - 2019
Publication title -
journal of child psychology and psychiatry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.652
H-Index - 211
eISSN - 1469-7610
pISSN - 0021-9630
DOI - 10.1111/jcpp.13102
Subject(s) - psychology , suicidal ideation , popularity , peer group , social network (sociolinguistics) , suicide prevention , poison control , social integration , logistic regression , human factors and ergonomics , social support , peer victimization , injury prevention , clinical psychology , social psychology , medicine , medical emergency , social media , political science , law
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.