Dataset Information

The relationship between suicidal ideation and symptoms of depression in Japanese workers: a cross-sectional study.

ABSTRACT:

Objectives

The prevalence of suicidal ideation and predictors for suicidal ideation among Japanese workers is unknown, although a previous study reported a 30% prevalence rate of suicidal ideation in a psychosomatic clinical setting. Hence, we evaluated the prevalence of suicidal ideation and its relationship with depressive symptoms among Japanese workers.

Methods

For this purpose, a cross-sectional design was used. Major depressive disorder (MDD) and suicidal ideation in 1266 workers (1100 men and 166 women, aged 20-69 years) were assessed through clinical interviews conducted in accordance with the fourth edition of the Diagnostic and Statistical Manual of Mental Disorders.

Results

A total of 34 and 70 participants were diagnosed with suicidal ideation and MDD, respectively. Suicidal ideation was especially prevalent in 40-year-olds to 49-year-olds. Six of the eight symptoms of MDD (depressive mood, loss of interest, weight loss, psychomotor agitation, worthlessness and concentration loss) were related to suicidal ideation. Depressive mood had the strongest relationship with suicidal ideation, followed by worthlessness and concentration loss. Worthlessness had the highest area under the curve in predicting suicidal ideation, followed by concentration loss and depressive mood.

Conclusions

We conclude that MDD symptoms-particularly depressive mood, worthlessness and concentration loss-are potential predictors of suicidal ideation in Japanese workers.

SUBMITTER: Takeuchi T

PROVIDER: S-EPMC3845061 | biostudies-literature | 2013 Nov

REPOSITORIES: biostudies-literature

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Publications

The relationship between suicidal ideation and symptoms of depression in Japanese workers: a cross-sectional study.

Takeuchi Takeaki T Nakao Mutsuhiro M

BMJ open 20131129 11

<h4>Objectives</h4>The prevalence of suicidal ideation and predictors for suicidal ideation among Japanese workers is unknown, although a previous study reported a 30% prevalence rate of suicidal ideation in a psychosomatic clinical setting. Hence, we evaluated the prevalence of suicidal ideation and its relationship with depressive symptoms among Japanese workers.<h4>Methods</h4>For this purpose, a cross-sectional design was used. Major depressive disorder (MDD) and suicidal ideation in 1266 wo ...[more]

PMID: 24293204

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Project description:ObjectiveThis study aimed to explore the relationship between different types of interpersonal relationships and anxiety symptoms, depressive symptoms, and suicidal ideation and discusses the impact of different grades among middle school students.MethodsThe Patient Health Questionnaire Depression Scale, the Chinese version of the Generalized Anxiety Scale, suicidal ideation questions, and interpersonal relations items were used to measure the depression symptoms, anxiety symptoms, suicidal ideation, and interpersonal relations of the participants. The variables of anxiety symptoms, depressive symptoms, suicidal ideation, and interpersonal relations were screened using the Chi-square test and principal component analysis. AMOS17.0 constructs the path of the association between interpersonal relations and depressive symptoms, anxiety symptoms, and suicidal ideation.ResultsThe mother-child relationship had direct impacts of -0.06, -0.07, and -0.06 on anxiety symptoms, depressive symptoms, and suicidal ideation. On anxiety symptoms, depressive symptoms, and suicidal ideation, the direct impacts of the father-child relationship were -0.09, -0.03, and -0.08. Moreover, the direct effects of peer relationships on depressive symptoms were -0.04, whereas the direct impact of teacher-student relationships on anxiety and depressive symptoms were -0.10 and -0.09. Further pathway analysis based on grade level showed that in the junior high school model, the direct effect of the mother-child relationship on anxiety and depressive symptoms was -0.18 and -0.16. The direct impact of the father-child relationship on depressive symptoms and suicidal ideation was -0.08 and 0.09. The direct effect of peer relationships on depressive symptoms was -0.08, and the direct impact of the teacher-student relationship on anxiety symptoms was -0.06. In the high school model, the direct effect of the mother-child relationship on suicidal ideation was -0.07, while the direct impact of the father-child relationship on anxiety, depression, and suicidal ideation was -0.10, -0.07, and -0.12, respectively. In addition, the direct effects of peer relationships on anxiety and depression were -0.06 and -0.05, and the direct impact of teacher-student relationships on anxiety and depression was -0.10 and -0.11.ConclusionThe father-child relationship affects suicidal ideation and depression the most, followed by the mother-child relationship, the teacher-student interaction, and the peer relationship. The teacher-student relationship influences anxiety symptoms the most, followed by the father-child and mother-child relationships. The association between interpersonal interactions and anxiety, depressive symptoms, and suicidal ideation varied significantly across grade levels.

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Project description:BackgroundAssessing patients' suicide risk is challenging, especially among those who deny suicidal ideation. Primary care providers have poor agreement in screening suicide risk. Patients' speech may provide more objective, language-based clues about their underlying suicidal ideation. Text analysis to detect suicide risk in depression is lacking in the literature.ObjectiveThis study aimed to determine whether suicidal ideation can be detected via language features in clinical interviews for depression using natural language processing (NLP) and machine learning (ML).MethodsThis cross-sectional study recruited 305 participants between October 2020 and May 2022 (mean age 53.0, SD 11.77 years; female: n=176, 57%), of which 197 had lifetime depression and 108 were healthy. This study was part of ongoing research on characterizing depression with a case-control design. In this study, 236 participants were nonsuicidal, while 56 and 13 had low and high suicide risks, respectively. The structured interview guide for the Hamilton Depression Rating Scale (HAMD) was adopted to assess suicide risk and depression severity. Suicide risk was clinician rated based on a suicide-related question (H11). The interviews were transcribed and the words in participants' verbal responses were translated into psychologically meaningful categories using Linguistic Inquiry and Word Count (LIWC).ResultsOrdinal logistic regression revealed significant suicide-related language features in participants' responses to the HAMD questions. Increased use of anger words when talking about work and activities posed the highest suicide risk (odds ratio [OR] 2.91, 95% CI 1.22-8.55; P=.02). Random forest models demonstrated that text analysis of the direct responses to H11 was effective in identifying individuals with high suicide risk (AUC 0.76-0.89; P<.001) and detecting suicide risk in general, including both low and high suicide risk (AUC 0.83-0.92; P<.001). More importantly, suicide risk can be detected with satisfactory performance even without patients' disclosure of suicidal ideation. Based on the response to the question on hypochondriasis, ML models were trained to identify individuals with high suicide risk (AUC 0.76; P<.001).ConclusionsThis study examined the perspective of using NLP and ML to analyze the texts from clinical interviews for suicidality detection, which has the potential to provide more accurate and specific markers for suicidal ideation detection. The findings may pave the way for developing high-performance assessment of suicide risk for automated detection, including online chatbot-based interviews for universal screening.

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Dataset Information

The relationship between suicidal ideation and symptoms of depression in Japanese workers: a cross-sectional study.

Objectives

Methods

Results

Conclusions

Publications

The relationship between suicidal ideation and symptoms of depression in Japanese workers: a cross-sectional study.

Similar Datasets

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