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Leveraging latent profile analysis to synthesize childhood and adolescent risk factors for suicidal ideation
Person-centered typologies identified with latent profile analysis can clarify patterns of chronic and acute risk factors for suicidal ideation. We derived five profiles of individuals using cognitive, behavioral, and familial factors relating to suicidal ideation risk factors. Participants (n = 1,1...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9432700/ https://www.ncbi.nlm.nih.gov/pubmed/36044464 http://dx.doi.org/10.1371/journal.pone.0272400 |
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author | Sarkisian, Katherine Planalp, Elizabeth Van Hulle, Carol Goldsmith, H. H. |
author_facet | Sarkisian, Katherine Planalp, Elizabeth Van Hulle, Carol Goldsmith, H. H. |
author_sort | Sarkisian, Katherine |
collection | PubMed |
description | Person-centered typologies identified with latent profile analysis can clarify patterns of chronic and acute risk factors for suicidal ideation. We derived five profiles of individuals using cognitive, behavioral, and familial factors relating to suicidal ideation risk factors. Participants (n = 1,142) were assessed at age 8 using the Laboratory Temperament Assessment Battery and mother-reported parenting measures and at age 14 using interviews about clinical symptoms and suicidal ideation. The best-fitting model included five profiles: typical, elevated adolescent symptomology, mildly elevated typical, low childhood persistence, and very low childhood persistence/mixed symptoms. Participants in the elevated adolescent symptomology and very low childhood persistence/mixed symptoms profiles were 2.6 and 5.3 times more likely to report suicidal ideation compared with the typical profile. Overall, our results underscore how using a person-centered pattern recognition approach and incorporating facets of childhood behavior may enhance conceptualizations of adolescent suicidal ideation risk. |
format | Online Article Text |
id | pubmed-9432700 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-94327002022-09-01 Leveraging latent profile analysis to synthesize childhood and adolescent risk factors for suicidal ideation Sarkisian, Katherine Planalp, Elizabeth Van Hulle, Carol Goldsmith, H. H. PLoS One Research Article Person-centered typologies identified with latent profile analysis can clarify patterns of chronic and acute risk factors for suicidal ideation. We derived five profiles of individuals using cognitive, behavioral, and familial factors relating to suicidal ideation risk factors. Participants (n = 1,142) were assessed at age 8 using the Laboratory Temperament Assessment Battery and mother-reported parenting measures and at age 14 using interviews about clinical symptoms and suicidal ideation. The best-fitting model included five profiles: typical, elevated adolescent symptomology, mildly elevated typical, low childhood persistence, and very low childhood persistence/mixed symptoms. Participants in the elevated adolescent symptomology and very low childhood persistence/mixed symptoms profiles were 2.6 and 5.3 times more likely to report suicidal ideation compared with the typical profile. Overall, our results underscore how using a person-centered pattern recognition approach and incorporating facets of childhood behavior may enhance conceptualizations of adolescent suicidal ideation risk. Public Library of Science 2022-08-31 /pmc/articles/PMC9432700/ /pubmed/36044464 http://dx.doi.org/10.1371/journal.pone.0272400 Text en © 2022 Sarkisian et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Sarkisian, Katherine Planalp, Elizabeth Van Hulle, Carol Goldsmith, H. H. Leveraging latent profile analysis to synthesize childhood and adolescent risk factors for suicidal ideation |
title | Leveraging latent profile analysis to synthesize childhood and adolescent risk factors for suicidal ideation |
title_full | Leveraging latent profile analysis to synthesize childhood and adolescent risk factors for suicidal ideation |
title_fullStr | Leveraging latent profile analysis to synthesize childhood and adolescent risk factors for suicidal ideation |
title_full_unstemmed | Leveraging latent profile analysis to synthesize childhood and adolescent risk factors for suicidal ideation |
title_short | Leveraging latent profile analysis to synthesize childhood and adolescent risk factors for suicidal ideation |
title_sort | leveraging latent profile analysis to synthesize childhood and adolescent risk factors for suicidal ideation |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9432700/ https://www.ncbi.nlm.nih.gov/pubmed/36044464 http://dx.doi.org/10.1371/journal.pone.0272400 |
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