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

Dong, Min; Zeng, Liang-Nan; Lu, Li; Li, Xiaohong; Ungvári, Gábor S.; Ng, Chee H.; Chow, Ines H.I.; Zhang, Ling; Zhou, Yuan; Xiang, Yu Tao

doi:10.1017/s0033291718002301

Cited by 172 publications

(97 citation statements)

References 127 publications

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“…Meta‐analysis has confirmed that suicide attempts are common among individuals with major depressive disorder around the world . Likewise, depressive disorder was, as expected, significantly related to suicide attempts when depressive symptoms worsened in our study.…”

Section: Discussionsupporting

confidence: 89%

Predictive factors for suicidal attempts: A case‐control study

Wongpakaran

Kittipodjanasit

Chompoosri

et al. 2019

Perspect Psychiatr Care

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Purpose To identify predictors for 12‐month suicide attempt from general psychiatric outpatients. Design and Methods A case‐control study compared 55 cases of suicide attempt within the previous 12 months matched for age and sex with 55 nonsuicidal cases. All were interviewed for psychiatric and personality disorder (PD) diagnoses using a DSM‐IV‐TR diagnostic interview. Findings Factors associated with suicide attempt included depressive disorders (odds ratio [OR] = 4.62) and borderline PD (OR = 8.99). Practical Implications More attention should be paid to identifying PD especially borderline PD in suicidal attempters, and further study of modifiable factors associated with depression and borderline PD is encouraged.

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Section: Discussionsupporting

confidence: 89%

Predictive factors for suicidal attempts: A case‐control study

Wongpakaran

Kittipodjanasit

Chompoosri

et al. 2019

Perspect Psychiatr Care

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“…The assessment of suicidality is an integral part of the evaluation of a patient with a diagnosis of depression, both in research and in clinical settings. A meta-analysis of 57 studies of more than 23,000 patients with depression found a lifetime rate of suicide attempt of 31% 42 . Suicidal ideation and suicide attempts are among the strongest predictors of completed suicide 43 , although the positive predictive value of any risk factor or risk algorithm is not high.…”

Section: Symptom Profilementioning

confidence: 99%

The clinical characterization of the adult patient with depression aimed at personalization of management

et al. 2020

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Depression is widely acknowledged to be a heterogeneous entity, and the need to further characterize the individual patient who has received this diagnosis in order to personalize the management plan has been repeatedly emphasized. However, the research evidence that should guide this personalization is at present fragmentary, and the selection of treatment is usually based on the clinician's and/or the patient's preference and on safety issues, in a trial‐and‐error fashion, paying little attention to the particular features of the specific case. This may be one of the reasons why the majority of patients with a diagnosis of depression do not achieve remission with the first treatment they receive. The predominant pessimism about the actual feasibility of the personalization of treatment of depression in routine clinical practice has recently been tempered by some secondary analyses of databases from clinical trials, using approaches such as individual patient data meta‐analysis and machine learning, which indicate that some variables may indeed contribute to the identification of patients who are likely to respond differently to various antidepressant drugs or to antidepressant medication vs. specific psychotherapies. The need to develop decision support tools guiding the personalization of treatment of depression has been recently reaffirmed, and the point made that these tools should be developed through large observational studies using a comprehensive battery of self‐report and clinical measures. The present paper aims to describe systematically the salient domains that should be considered in this effort to personalize depression treatment. For each domain, the available research evidence is summarized, and the relevant assessment instruments are reviewed, with special attention to their suitability for use in routine clinical practice, also in view of their possible inclusion in the above‐mentioned comprehensive battery of measures. The main unmet needs that research should address in this area are emphasized. Where the available evidence allows providing the clinician with specific advice that can already be used today to make the management of depression more personalized, this advice is highlighted. Indeed, some sections of the paper, such as those on neurocognition and on physical comorbidities, indicate that the modern management of depression is becoming increasingly complex, with several components other than simply the choice of an antidepressant and/or a psychotherapy, some of which can already be reliably personalized.

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“…Prevalence of suicidal ideation (62.4%) and suicide attempt within a month (35.4%) that were found were higher than past studies in Asia. Rates of suicidal ideation reported in China [25,26] and Singapore [27] ranged from 49-55% among MDD patients and a recent meta-analysis showed a 24% 1-month prevalence of Chinese MDD patients having suicide attempts [28]. The variation of the prevalence may be influenced by the different tools using to evaluate suicidality.…”

Section: Resultsmentioning

confidence: 99%

“…1) The Beck Depression Inventory-II (BDI-II) Thai version, a widely used questionnaire for assessment of the severity of depression, was developed from its original version in English [18] and consists of 21 questions with a total score of 63. The severities of depression were categorized into minimal (0-13), mild (14)(15)(16)(17)(18)(19), moderate (20)(21)(22)(23)(24)(25)(26)(27)(28) and severe depression . The test showed good internal consistency (Cronbach's alpha coefficient, α = 0.91) and the Spearman's correlation coefficient, which indicated the relationship between the score obtained from this BDI-II and the Hamilton Rating Scale for Depression, was 0.71.…”

Section: Assessmentmentioning

confidence: 99%

Suicidality and associated social, demographic and clinical factors in Thai patients with acutely treated depressive disorder: a cross-sectional study

Chiddaycha

Lueboonthavatchai²

2020

Preprint

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Background Some depressed people die by suicide although they are in treatment. The aims of this study were to examine the prevalence of suicidality and to identify the associated social, demographic and clinical factors in Thai patients with acutely treated depressive disorders.Patients and methods A sample of 178 in- and outpatients with depressive disorders who were treated within the six-month period of being diagnosed or of a recurrent episode were recruited from a tertiary hospital during November 2017 to April 2018. The associations between suicide risks assessed using the suicidality module of the Mini-International Neuropsychiatric Interview (MINI) and various factors including demographic data, depressive severity, interpersonal problems, social support, family relationships, and life stress events were analyzed by chi-square test. Logistic regression was used for identification of the potential predictors of moderate-to-high suicide risk.Results Most of the subjects were single (80.9%), female (68%), and in early adulthood (mean age 28.9, SD 11.2). The prevalence of suicidal ideation, suicide attempt within one month, and previous history of suicide attempt during lifetime were 62.4%, 35.4% and 41%, respectively. The prevalence of suicidality (76.4%) and moderate-to-high suicide risk (48.4%) were high. The factors associated with moderate-to-high suicide risk were lower age, no religion, unemployment, history of substance use within one year, moderate-to-severe level of depression, being an in-patient, short duration of treatment, receiving benzodiazepines, having interpersonal role disputes, having interpersonal deficits, low social support, poor family relationships and functioning, and high severity level of health stress events. Potential predictors of moderate-to-high suicide risk were moderate-to-severe levels of depression, poor family relationships and functioning, age of 20 or lower, being an in-patient, and receiving benzodiazepines.Conclusion The prevalence of suicidality in patients with acutely treated depressive disorder was found to be high. Depressive severity and social factors such as poor family relationships were highly associated with suicide risk. Knowledge of these factors may raise awareness of suicide prevention during the course of treatment of depression.

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

Abstract: This meta-analysis confirmed that SA was common in individuals with MDD across the world. Careful screening and appropriate interventions should be implemented for SA in the MDD population.

Cited by 172 publications

References 127 publications

Predictive factors for suicidal attempts: A case‐control study

Predictive factors for suicidal attempts: A case‐control study

The clinical characterization of the adult patient with depression aimed at personalization of management

Suicidality and associated social, demographic and clinical factors in Thai patients with acutely treated depressive disorder: a cross-sectional study

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