Dataset Information

Association between Childhood Suicidal Ideation and Geriatric Depression in Japan: A Population-Based Cross-Sectional Study.

ABSTRACT: Adverse childhood experiences (ACEs) are assumed to increase the risk of depression in late life via development of poor mental health conditions; however, the association between mental distress in childhood and geriatric depression has not been directly examined. This study examined the association between childhood suicidal ideation and geriatric depression, using population-based, cross-sectional survey data from 1140 community-dwelling, functionally independent older adults in Wakuya City, Japan. We assessed childhood suicidal ideation by asking the participants whether they had seriously considered attempting suicide before the age of 18, together with geriatric depression, using the Japanese version of the 15-item Geriatric Depression Scale. Poisson regression was applied to adjust for potential confounders and mediators. In total, 6.1% of the participants reported childhood suicidal ideation. After adjustment for sex, age, personality attributes and ACEs, childhood suicidal ideation was positively associated with geriatric depression prevalence ratio [PR]: 1.40, 95% Confidence Interval (95%CI): 1.04-1.88). The increased PR of geriatric depression remained significant, even after further adjustment for adulthood socio-economic status, recent life stressors and current health status (PR: 1.38, 95%CI: 1.02-1.88). Further prospective studies are warranted, but efforts to deliver mental health services to children with suicidal ideation potentially diminish the highly prevalent geriatric depression.

SUBMITTER: Morita A

PROVIDER: S-EPMC7178046 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature

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Association between Childhood Suicidal Ideation and Geriatric Depression in Japan: A Population-Based Cross-Sectional Study.

Morita Ayako A Fujiwara Takeo T

International journal of environmental research and public health 20200327 7

Adverse childhood experiences (ACEs) are assumed to increase the risk of depression in late life via development of poor mental health conditions; however, the association between mental distress in childhood and geriatric depression has not been directly examined. This study examined the association between childhood suicidal ideation and geriatric depression, using population-based, cross-sectional survey data from 1140 community-dwelling, functionally independent older adults in Wakuya City, ...[more]

PMID: 32230812

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Project description:BackgroundDepression is recognized globally as a leading cause of disability. Early-life adverse childhood experiences (ACEs) have been shown to have robust associations with poor mental health during adulthood. These effects may be cumulative, whereby a greater number of ACEs are progressively associated with worse outcomes. This study aimed to estimate the associations between ACEs and adult depression and suicidal ideation in a cross-sectional, population-based study of adults in Uganda.Methods and findingsBetween 2016 and 2018, research assistants visited the homes of 1,626 adult residents of Nyakabare Parish, a rural area in southwestern Uganda. ACEs were assessed using a modified version of the Adverse Childhood Experiences-International Questionnaire, and depression symptom severity and suicidal ideation were assessed using the Hopkins Symptom Checklist for Depression (HSCL-D). We applied a validated algorithm to determine major depressive disorder diagnoses. Overall, 1,458 participants (90%) had experienced at least one ACE, 159 participants (10%) met criteria for major depressive disorder, and 28 participants (1.7%) reported suicidal ideation. We fitted regression models to estimate the associations between cumulative number of ACEs and depression symptom severity (linear regression model) and major depressive disorder and suicidal ideation (Poisson regression models). In multivariable regression models adjusted for age, sex, primary school completion, marital status, self-reported HIV status, and household asset wealth, the cumulative number of ACEs was associated with greater depression symptom severity (b = 0.050; 95% confidence interval [CI], 0.039-0.061, p < 0.001) and increased risk for major depressive disorder (adjusted relative risk [ARR] = 1.190; 95% CI, 1.109-1.276; p < 0.001) and suicidal ideation (ARR = 1.146; 95% CI, 1.001-1.311; p = 0.048). We assessed the robustness of our findings by probing for nonlinearities and conducting analyses stratified by age. The limitations of the study include the reliance on retrospective self-report as well as the focus on ACEs that occurred within the household.ConclusionsIn this whole-population, cross-sectional study of adults in rural Uganda, the cumulative number of ACEs had statistically significant associations with depression symptom severity, major depressive disorder, and suicidal ideation. These findings highlight the importance of developing and implementing policies and programs that safeguard children, promote mental health, and prevent trajectories toward psychosocial disability.

Project description:BackgroundSince the 2010 earthquake in Haiti, there has been increased international attention to mental health needs throughout the country. The present study represents one of the first epidemiologic studies of depression symptomatology, suicidal ideation, and associated factors in Haiti's Central Plateau.MethodsWe conducted a cross-sectional, zone-stratified household survey of 408 adults in Haiti's Central Plateau. Depression symptomatology was assessed with a culturally-adapted Kreyòl version of the Beck Depression Inventory (BDI). Multivariable linear and logistic regression models were built using backward elimination, with the outcomes being continuous BDI scores and endorsing suicidal ideation, respectively.ResultsThe mean BDI score was 20.4 (95% confidence interval [CI]: 19.3-21.5), and 6.13% (N?=?25) of participants endorsed current suicidal ideation. Factors associated with BDI scores were: continuous age (adjusted beta [a?]: 0.14, CI: 0.06-0.22), female gender (a?: 2.1, CI: 0.18-4.0), suicidal ideation (a?: 11.1, CI: 7.3-14.9), death in family (a?: 2.7, CI: 0.57-4.9), and prior life-threatening illness (a?: 2.6, CI: 0.77-4.5). Education was a risk factor for depression among women but not among men, and employment was a risk factor for both genders. Factors associated with endorsing suicidal ideation were: BDI score (ten point change) (adjusted odds ratio [aOR]: 2.5, CI: 1.7-3.6), lack of care if sick (aOR: 5.5, CI: 1.1-28.6), alcohol use (aOR: 3.3, CI: 1.3-8.2), and ever having been to a Vodou priest (aOR: 3.2, CI: 1.1-9.5).ConclusionsA large proportion of Haiti's Central Plateau may be experiencing high levels of depression symptomatology and/or current suicidal ideation. Screening could be conducted in biomedical, religious, and Vodou healing contexts. For prevention, poverty reduction and improved healthcare access are key elements. For treatment, general psychiatric services, psychosocial services for the medically ill and their families, and substance abuse interventions should be explored. Paradoxical associations related to education and employment require further exploration.

Project description:ObjectivesAssociation between employment contract (temporary vs. permanent) and suicidal ideation (persistent suicidal ideation [i.e., with onset before COVID-19] or newly developed under COVID-19 pandemic) was examined using a nationally representative cross-sectional study in Japan.MethodsAn Internet survey was conducted from August to September 2020. The participants' inclusion criteria for this study were as follows: (i) 20-65 years old, (ii) employees (excluding self-employed, students, retired, housewives, and unemployed). The associations of suicidal ideation with the employees' factors were analyzed using the multinomial logistic regression model, adjusting for covariates (sex, age, marital status, education, company size, industries, and a history of psychiatric disease).ResultsOf total 12 249 participants, 72.4% were permanent and 27.6% were temporary employees. The prevalence was 8.5% for persistent suicidal ideation and 3.2% for newly developed suicidal ideation in the COVID-19 pandemic. Temporary employment was significantly associated with persistent suicidal ideation (adjusted odds ratio [aOR] = 1.36 [95% confidence interval, CI: 1.16-1.59]; P < .001), but not associated with newly developed suicidal ideation (aOR = 1.10 [0.85-1.42]; P = .457) after adjusting the covariates. Sensitivity analysis showed temporary employment was significantly associated with persistent suicidal ideation only in women. Newly developed suicidal ideation was significantly higher among participants of a young age, employees in drinking/eating/hotel business industry, and those having a history of psychiatric disease than among the counterparts.ConclusionsWorking on a temporary employment contract was associated with persistent suicidal ideation under conditions of COVID-19 outbreaks in Japan. However, the result showed no significant difference in newly developed suicidal ideation. Further longitudinal study will be needed to examine the risk of being employed on an unstable occupational contract in the prolonged pandemic.

Project description:BackgroundChildhood adversity predicts adolescent suicidal ideation but there are few studies examining whether the risk of childhood adversity extends to suicidal ideation in midlife. We hypothesized that childhood adversity predicts midlife suicidal ideation and this is partially mediated by adolescent internalizing disorders, externalizing disorders and adult exposure to life events and interpersonal difficulties.MethodAt 45 years, 9377 women and men from the UK 1958 British Birth Cohort Study participated in a clinical survey. Childhood adversity was prospectively assessed at the ages of 7, 11 and 16 years. Suicidal ideation at midlife was assessed by the depressive ideas subscale of the Revised Clinical Interview Schedule. Internalizing and externalizing disorders were measured by the Rutter scales at 16 years. Life events, periods of unemployment, partnership separations and alcohol dependence were measured through adulthood.ResultsIllness in the household, paternal absence, institutional care, parental divorce and retrospective reports of parental physical and sexual abuse predicted suicidal ideation at 45 years. Three or more childhood adversities were associated with suicidal ideation at 45 years [odds ratio (OR) 4.31, 95% confidence interval (CI) 2.67-6.94]. Psychological distress at 16 years partially mediated the associations of physical abuse (OR 3.41, 95% CI 2.29-5.75), sexual abuse (OR 4.99, 95% CI 2.90-11.16) with suicidal ideation. Adult life events partially mediated the association of parental divorce (OR 6.34, 95% CI -7.16 to 36.75) and physical (OR 9.59, 95% CI 4.97-27.88) and sexual abuse (OR 6.59, 95% CI 2.40-38.36) with suicidal ideation at 45 years.ConclusionsAdversity in childhood predicts suicidal ideation in midlife, partially mediated by adolescent internalizing and externalizing disorders, adult life events and interpersonal difficulties. Understanding the pathways from adversity to suicidal ideation can inform suicide prevention and the targeting of preventive interventions.

Project description:ObjectivesWe aim to reveal how loneliness relates to suicidal ideation following the onset of the COVID-19 pandemic.DesignCross-sectional online survey.SettingCommunity cohort study in Japan.ParticipantsThe second wave of a large web-based survey, Japan COVID-19 and Society Internet Survey, was conducted in February 2021, and we analysed the data of 6436 men and 5380 women who were aged 20-59 years.Main outcome measuresThe prevalence ratios (PRs) of suicidal ideation due to loneliness, depression, social isolation and decline in income during the pandemic and other sociodemographic and economic information were adjusted in the analysis.Statistical methodsEstimations were conducted by separating a male and female sample. The survey weight (inverse probability weighting) was applied for analyses, and a Poisson regression model was used with all the potential confounders adjected.ResultsOverall, 15.1% of male and 16.3% of female participants were found to have had suicidal ideation during the COVID-19 pandemic. Among them, 23% of male and 20% of female participants experienced suicidal ideation for the first time. The results of the Poisson regression suggested that those who were feeling lonely had higher PRs for suicidal ideation (4.83 for men (95% CI, 3.87 to 6.16) and 6.19 for women (95% CI, 4.77 to 8.45)). The relationship between loneliness and suicidal ideation remained robust even after adjusting for depression, although there were declines in PRs. Additionally, the results showed that those who were lonely, and continued to feel lonely during the pandemic, had the highest PRs of suicidal ideation.ConclusionLoneliness had both direct and indirect effects on suicidal ideation mediated through depression. Those who felt lonelier during the pandemic had the highest risk of suicidal ideation. It is necessary to adopt national measures focused on providing psychological support to people who feel lonely to prevent them from taking their own lives.

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.

Dataset Information

Association between Childhood Suicidal Ideation and Geriatric Depression in Japan: A Population-Based Cross-Sectional Study.

Publications

Association between Childhood Suicidal Ideation and Geriatric Depression in Japan: A Population-Based Cross-Sectional Study.

Similar Datasets

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