ArticleJournal of the American Psychiatric Nurses Association
Text Analysis of Suicide Risk in Adolescents and Young Adults.
Article in Journal of the American Psychiatric Nurses Association. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Establishment and psychometric characteristics of emotional words list for suicidal risk assessment in speech emotion recognition.Frontiers in psychiatry · 2022Article
- Parental presence during invasive pediatric procedures: what does it depend on?Revista latino-americana de enfermagemArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
objectiveSuicide is of primary public concern for adolescents and young adults (AYAs) who commonly use social media platforms to express their suicidal thoughts and behaviors. Understanding how AYAs communicate their suicide-related thoughts and behaviors in texts can support early detection of suicide risk from their social media posts. Therefore, this study sought to identify themes relevant to suicide risk in AYAs and explore words or terms used by AYAs when they described suicidal thoughts and behaviors.
methodThis secondary data analysis utilized an existing data set collected from 255 AYAs between 12 and 25 years of age, who provided brief descriptions of how they and their peers expressed their experiences of self-harm, suicidal thinking, and attempts. Text analysis was conducted using KH Coder software. Three-step theory of suicide was used to guide a content analysis to explore the key themes from the narratives.
resultsA word co-occurrence network with 24 clusters of words was generated from the text analysis. These word clusters were further grouped into
conclusionsThe findings of this study, including themes and slang terms and acronyms, are valuable to facilitate the use of terms or phrases within social media texts to identify suicide risk in AYAs.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.