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Article . 2023
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https://doi.org/10.31234/osf.i...
Article . 2022 . Peer-reviewed
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Daily Prediction of Non-Suicidal Self-Injury among Inpatients: The Roles of Suicidal Thoughts, Interpersonal Difficulties, Hopelessness, and Affect

The roles of suicidal thoughts, interpersonal difficulties, hopelessness, and affect
Authors: Michael Kyron; Geoff Hooke; Craig Bryan; Glenn Kiekens; Wai Chen; Penelope Hasking; Andrew C. Page;

Daily Prediction of Non-Suicidal Self-Injury among Inpatients: The Roles of Suicidal Thoughts, Interpersonal Difficulties, Hopelessness, and Affect

Abstract

Objective: Non-suicidal self-injury (NSSI) is a major public health issue. Despite increased research efforts in clinical samples, we still have little understanding of the short-term correlates, predictors, and targets of NSSI among treatment-seeking individuals. The current study was designed to (a) evaluate how suicidal thoughts, interpersonal difficulties, hopelessness, and affective states are associated with same-day and next-day NSSI; (b) identify which factors may be effective targets in treatment through network modelling.Methods: Data from 1,265 psychiatric inpatients who self-injured throughout their visit to a psychiatric hospital self-reported their suicidal ideation, negative affect, and positive affect on a daily basis (in total 36,345 prospective reports). An additional 632 patients were also surveyed regarding feelings of hopelessness, wish to live, and interpersonal difficulties. Using multilevel structural equation modelling, we examined contemporaneous and time-lagged associations with NSSI. Multilevel network analyses assessed interconnectedness of daily predictors, and were compared with a matched sample of 1,265 patients who did not self-injure during their stay. Results: Increases in suicidal ideation were associated with increased probability of same-day and next-day self-injury, and an inverse relationship was observed for wish to live. Increases in positive affect were also significantly associated with decreased probability of next-day self-injury. Perceived burdensomeness had high centrality in network models, particularly among patients who self-injured, indicating it is susceptible to activation and directly associated with all predictors.Conclusions: Routine monitoring may improve prediction of when a patient is at short-term risk to self-injure and provides person-specific data that can assist in targeting risk and protective factors during treatment.

Keywords

Dynamic structural equation modelling, Network modelling, Psychology, Clinical, Social Sciences, Inpatients/psychology, HARM, Suicidal Ideation, Risk Factors, ADOLESCENTS, Psychology, Humans, Prospective Studies, dynamic structural equation modelling, IDEATION, nonsuicidal self-injury, METAANALYSIS, ASSOCIATIONS, Inpatients, network modelling, PSYCHIATRIC-DISORDERS, 5201 Applied and developmental psychology, 5203 Clinical and health psychology, Nonsuicidal self-injury, PREVALENCE, 5205 Social and personality psychology, Clinical Psychology, Affect, PSYCHOMETRIC PROPERTIES, MASTERY SCALE, affect, 1701 Psychology, TRAJECTORIES, Self-Injurious Behavior, Self-Injurious Behavior/psychology

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    Top 10%
    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Average
Average
Green
hybrid