Past suicidal ideation as an independent risk factor for suicide behaviours in patients with depression

Park, Eun-Hee; Hong, Narei; Jon, Duk–In; Hong, Hyun Ju; Jung, Myung Hun

doi:10.1080/13651501.2016.1249489

Cited by 42 publications

(21 citation statements)

References 22 publications

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“…Exclusion criteria included: (1) studies conducted in special populations, such as adolescent or the elderly and (2) data extracted from medical records. Several studies on major depressive episode (MDE) included individuals with dysthymia, such as Seo et al ., 2014 and Park et al ., 2017 or bipolar depressive episode, such as Serafini et al ., 2011 and Wakefield and Schmitz, 2016, therefore these studies were excluded with the exception of those which included only individuals with MDD (following confirmation by the corresponding authors). If more than one paper based on the same dataset were published, only the paper with the largest sample was included.…”

Section: Methodsmentioning

confidence: 99%

Prevalence of suicide attempt in individuals with major depressive disorder: a meta-analysis of observational surveys

et al. 2018

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Section: Methodsmentioning

confidence: 99%

Prevalence of suicide attempt in individuals with major depressive disorder: a meta-analysis of observational surveys

et al. 2018

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“…6 Although the fact that CS is a preventable outcome, this phenomenon is limited understood because it is difficult to attain adequate information on deaths by suicide. Considering SI may be a major predictor of the CS among MDD patients 7 and suicide completers with MDD usually had SI, 8 thus much of the research associated with suicidal behavior pays attention to SI among MDD.…”

Section: Introductionmentioning

confidence: 99%

<p>Identifying Suicidal Ideation Among Chinese Patients with Major Depressive Disorder: Evidence from a Real-World Hospital-Based Study in China</p>

Ge¹,

Jiang²,

Wang³

et al. 2020

NDT

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These authors contributed equally to this work Background: A growing body of research suggests that major depressive disorder (MDD) is one of the most common psychiatric conditions associated with suicide ideation (SI). However, how a combination of easily accessible variables built a utility clinically model to estimate the probability of an individual patient with SI via machine learning is limited. Methods: We used the electronic medical record database from a hospital located in western China. A total of 1916 Chinese patients with MDD were included. Easily accessible data (demographic, clinical, and biological variables) were collected at admission (on the first day of admission) and were used to distinguish SI with MDD from non-SI using a machine learning algorithm (neural network). Results: The neural network algorithm distinguished 1356 out of 1916 patients translating into 70.08% accuracy (70.68% sensitivity and 67.09% specificity) and an area under the curve (AUC) of 0.76. The most relevant predictor variables in identifying SI from non-SI included free thyroxine (FT4), the total scores of Hamilton Depression Scale (HAMD), vocational status, and free triiodothyronine (FT3). Conclusion: Risk for SI among patients with MDD can be identified at an individual subject level by integrating demographic, clinical, and biological variables as possible as early during hospitalization (at admission).

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“…SI varies in form and degree of severity, from fleeting thoughts to detailed planning. A meta-analysis of 172 longitudinal studies3 has shown that in adults, SI strongly correlates with suicidal attempt and death by suicide that remains robust even after adjusting for severity of depression and stress-events 4…”

Section: Introductionmentioning

confidence: 99%

Suicidal ideation in relation to disordered eating, body size and weight perception: a cross-sectional study of a Norwegian adolescent population: the HUNT Study

Sardahaee¹,

Holmen

Micali

et al. 2019

BMJ Open

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ObjectiveWe conducted a population-based study on a sample of more than 7000 adolescents where we examined the associations between suicidal ideation (SI) and disordered eating (DE) and its related traits.DesignCross-sectional.SettingsData were derived from two Norwegian population-based cohorts, the Young-HUNT1 (1995–1997) and Young-HUNT3 (2006–2008) from the county of Nord-Trøndelag, Norway.ParticipantsA total of 7268 adolescents (15–19 years) who had completed self-reported questionnaires including items on SI, DE, body size and weight perception were included.Primary outcome measuresORs for SI given DE, body size or weight perception. Analyses were performed in multivariate logistic regression models.ResultsThe prevalence of SI was 23.1% in total population. Both girls and boys who reported DE, evaluated their body size asnot‘about the same as others’ or were ‘unhappy about their weight’ had between twofold to fivefold increase in odds for SI; these incremental risks were observed independent of sex, age, body mass index and socioeconomic status. We observed higher odds for SI among boys.ConclusionsOur findings suggest a clear association between SI and DE and its associated traits, in both genders but especially in males. Special attention should be paid on early detection of DE traits among adolescents.

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Past suicidal ideation as an independent risk factor for suicide behaviours in patients with depression

Abstract: The present study suggests that the most severe suicidal ideation throughout one's entire life should not be overlooked and may be a major predictor of the risk of suicide.

Cited by 42 publications

References 22 publications

Prevalence of suicide attempt in individuals with major depressive disorder: a meta-analysis of observational surveys

Prevalence of suicide attempt in individuals with major depressive disorder: a meta-analysis of observational surveys

<p>Identifying Suicidal Ideation Among Chinese Patients with Major Depressive Disorder: Evidence from a Real-World Hospital-Based Study in China</p>

Suicidal ideation in relation to disordered eating, body size and weight perception: a cross-sectional study of a Norwegian adolescent population: the HUNT Study

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