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Longitudinal panel networks of risk and protective factors in youth suicidality

dc.contributor.authorWallace, Gemma T., author
dc.contributor.authorConner, Bradley T., advisor
dc.contributor.authorHenry, Kimberly L., advisor
dc.contributor.authorMerz, Emily C., committee member
dc.contributor.authorRiggs, Nathaniel R., committee member
dc.date.accessioned2023-08-28T10:29:00Z
dc.date.available2023-08-28T10:29:00Z
dc.date.issued2023
dc.description.abstractRates of suicidal thoughts and behaviors (STBs) are increasing among youth in the United States. Younger age at onset for STBs confers higher vulnerability to lifetime mental health concerns, yet relatively few studies have investigated STBs during the critical developmental period as youth transition from childhood into early adolescence. Several domains of risk and protective factors have been identified, however accurate prediction of STBs remains poor. Network analyses that can examine pairwise associations between many variables may provide information about complex pathways of risk for STBs, thereby improving the timing and targets of interventions. The present study applied a longitudinal panel network approach to elucidate potential risk and protective pathways for STBs across early adolescence. Data came from 9,854 youth who participated in the population-based Adolescent Brain Cognitive Development Study (Mage = 9.90 ± .62 years, 63% white, 53% female at baseline). Youth and their caregivers completed an annual measurement battery from when participants were ages 9-10 through 11-12 years (i.e., three timepoints). 1,699 youth reported past or present STBs at one or more study timepoints. Panel Graphical Vector Autoregressive models evaluated temporal within-person, contemporaneous within-person, and between-person relations between several previously identified risk and protective factors for youth STBs, including mental health symptoms, socioenvironmental factors, life stressors, and substance use. An autoregressive effect was observed for STBs in the temporal network. In the contemporaneous and between-subjects networks, STBs had consistent direct associations with internalizing symptoms, low-level substance use, family conflict, lower parental monitoring, and lower school protective factors. Possible indirect pathways were also observed, in which other mental health symptoms and stressful life events might contribute to STBs through internalizing. Results emphasize that family and school experiences are salient social risk factors for early adolescents. Age-specific interventions may benefit from prioritizing targeting internalizing symptoms and early substance use, as well as promoting positive school and family support. Results support the use of longitudinal network approaches to understand the complex interplay between STBs and different domains of risk and protective factors.
dc.format.mediumborn digital
dc.format.mediumdoctoral dissertations
dc.identifierWallace_colostate_0053A_17872.pdf
dc.identifier.urihttps://hdl.handle.net/10217/236923
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartof2020-
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.subjectearly adolescence
dc.subjectnetwork analysis
dc.subjectABCD study
dc.subjectsuicidal thoughts and behaviors
dc.subjectlongitudinal
dc.titleLongitudinal panel networks of risk and protective factors in youth suicidality
dc.typeText
dcterms.rights.dplaThis Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
thesis.degree.disciplinePsychology
thesis.degree.grantorColorado State University
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy (Ph.D.)

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