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Mapping the timescale of suicidal thinking.
Coppersmith, Daniel D L; Ryan, Oisín; Fortgang, Rebecca G; Millner, Alexander J; Kleiman, Evan M; Nock, Matthew K.
Afiliação
  • Coppersmith DDL; Department of Psychology, Harvard University, Cambridge, MA 02138.
  • Ryan O; Department of Methodology and Statistics, Utrecht University, 3508 TC Utrecht, The Netherlands.
  • Fortgang RG; Department of Psychology, Harvard University, Cambridge, MA 02138.
  • Millner AJ; Department of Psychology, Harvard University, Cambridge, MA 02138.
  • Kleiman EM; Mental Health Research, Franciscan Children's, Brighton, MA 02135.
  • Nock MK; Department of Psychology, Rutgers, The State University of New Jersey, Piscataway, NJ 08854.
Proc Natl Acad Sci U S A ; 120(17): e2215434120, 2023 04 25.
Article em En | MEDLINE | ID: mdl-37071683
ABSTRACT
This study aims to identify the timescale of suicidal thinking, leveraging real-time monitoring data and a number of different analytic approaches. Participants were 105 adults with past week suicidal thoughts who completed a 42-d real-time monitoring study (total number of observations = 20,255). Participants completed two forms of real-time assessments traditional real-time assessments (spaced hours apart each day) and high-frequency assessments (spaced 10 min apart over 1 h). We found that suicidal thinking changes rapidly. Both descriptive statistics and Markov-switching models indicated that elevated states of suicidal thinking lasted on average 1 to 3 h. Individuals exhibited heterogeneity in how often and for how long they reported elevated suicidal thinking, and our analyses suggest that different aspects of suicidal thinking operated on different timescales. Continuous-time autoregressive models suggest that current suicidal intent is predictive of future intent levels for 2 to 3 h, while current suicidal desire is predictive of future suicidal desire levels for 20 h. Multiple models found that elevated suicidal intent has on average shorter duration than elevated suicidal desire. Finally, inferences about the within-person dynamics of suicidal thinking on the basis of statistical modeling were shown to depend on the frequency at which data was sampled. For example, traditional real-time assessments estimated the duration of severe suicidal states of suicidal desire as 9.5 h, whereas the high-frequency assessments shifted the estimated duration to 1.4 h.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Modelos Estatísticos / Ideação Suicida Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Adult / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Modelos Estatísticos / Ideação Suicida Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Adult / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article