Latent class analysis of depressive symptoms and associations with suicidal thoughts, plans, and attempts among a large national sample.

Background Depression is strongly associated with risk for suicidal behaviors. However, depression is a highly heterogeneous condition (i.e. there are more than 200 combinations of DSM-5-TR depressive symptoms to correspond to a depression diagnosis). Limited research to date has taken an empirical...

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Publicado en:Psychological Medicine Vol. 54; no. 12; pp. 1 - 7
Formato: research tables/charts Journal Article
Publicado: Cambridge University Press Sep2024
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Sep2024
      vid: 54
      iid: 12
      pid: 15979
      pub: Cambridge University Press
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        181064972
        181064972
        181064972
        10.1017/S0033291724002009
        181064972
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        atl: Latent class analysis of depressive symptoms and associations with suicidal thoughts, plans, and attempts among a large national sample.
      aug:
      sug:
        subj:
          Depression Complications
          Suicide Risk Factors
          Suicidal Ideation Risk Factors
          Suicide, Attempted Risk Factors
          Risk Assessment
          Human
          Male
          Female
          Adolescence
          Adult
          Middle Age
          Aged
          Aged, 80 and Over
          Secondary Analysis
          Surveys
          Substance Abuse and Mental Health Services Administration
          Structural Equation Modeling
          DSM
          Descriptive Statistics
          Adolescent: 13-18 years
          Adult: 19-44 years
          Middle Aged: 45-64 years
          Aged: 65+ years
          Aged, 80 & over
          Male
          Female
      ab: Background Depression is strongly associated with risk for suicidal behaviors. However, depression is a highly heterogeneous condition (i.e. there are more than 200 combinations of DSM-5-TR depressive symptoms to correspond to a depression diagnosis). Limited research to date has taken an empirical approach to see how people cluster together based on their classification of depressive symptoms and whether people in certain classes are more likely to report suicide outcomes than other classes. This analysis leverages the National Survey on Drug Use and Health and examines classes of depressive symptoms to explore differences in suicide-related outcomes by class among adults endorsing depressive symptoms (n = 41 969). Methods We used latent class analysis (LCA) to identify classes of individuals' DSM-5 depressive symptoms presentation and then explored differences in suicide-related outcomes (i.e. suicide plans, suicide attempts) by the resulting classes. Results A four-class model was determined to optimize the fit criteria. Class 3 (high depressive symptoms) had significantly greater rates of suicide-related outcomes, followed by class 1 (high depressed mood and moderate worthlessness), with classes 4 and 2 having significantly lower rates of suicide-related outcomes. Conclusions The use of LCA provided valuable findings on the importance of leveraging both a multi-faceted assessment of depressive symptoms to identify cases where a high number of depressive symptoms are endorsed, and review of the specific symptoms endorsed. Worthlessness, in particular, may be of particular value to focus on within the context of suicide prevention.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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