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Suicidal Behavior in Adolescents

A Latent Class Analysis

Bibliographic Data

ID15469784
AuthorsAdriana Díez-Gómez (0000-0003-0276-3012, Universidad de La Rioja), Alicia Perez-Albeniz (Universidad de La Rioja), Alicia Pérez‐Albéniz (0000-0002-7182-060X, Universidad de La Rioja, corresponding author), Carla Sebastián‐Enesco (0000-0001-7340-0038, Universidad Complutense de Madrid), Eduardo Fonseca-Pedrero (0000-0001-7453-5225, Universidad de La Rioja)
Year2020
Volume17
Issue8
Pages2820-2820
Publication date2020-04-19
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph17082820
PMID32325865
OpenAlexW3016385215
LanguageEN
Citations received7
References cited57

The main goal of the present study was to identify and validate latent classes of suicidal behavior in a representative sample of adolescents. The sample comprised a total of 1506 students, including 667 males (44.3%), selected through a sample stratified by clusters. The mean age was 16.15 years (SD = 1.36). The instruments used evaluated suicidal behavior, positive and negative affect, emotional and behavioral problems, prosocial behavior, and subjective well-being. Using the Paykel Suicide Scale, the latent class analysis identified four homogeneous subgroups: "low risk", "suicidal act", "suicidal ideation", and "high risk for suicide". These subgroups presented a differential pattern in terms of their social-emotional adjustment. The subgroups with the highest theoretical risk showed lower scores on subjective well-being and positive affect as well as higher scores on emotional and behavioral problems and negative affect compared to the non-risk subgroups. This study contributes to an understanding of the typologies of suicidal behavior among adolescents and the relationship with psychopathological adjustment. Ultimately, these findings may promote the development or improvement of early detection and prevention strategies in the suicidal behavior field in order to reduce the socio-economic burdens associated with suicide in young populations

Class (philosophy · Developmental psychology · Injury prevention · Latent class model · Medical emergency · Occupational safety and health · Poison control · Self-destructive behavior · Statistics · Suicidal behavior · Suicide prevention · Child and Adolescent Psychosocial and Emotional Development · Clinical Psychology · Computer Science · Human Factors and Ergonomics · Mathematics · Medicine · Psychology · Suicide and Self-Harm Studies · Traumatic Brain Injury Research · Artificial Intelligence

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Unique citing works7
Citations per year1,4
Citation span2021 - 2025 (5)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 7

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