Dataset Information

Depression, suicidal ideation, and associated factors: a cross-sectional study in rural Haiti.

ABSTRACT:

Background

Since 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.

Methods

We 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.

Results

The 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).

Conclusions

A 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.

SUBMITTER: Wagenaar BH

PROVIDER: S-EPMC3515455 | biostudies-literature | 2012 Sep

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Depression, suicidal ideation, and associated factors: a cross-sectional study in rural Haiti.

Wagenaar Bradley H BH Hagaman Ashley K AK Kaiser Bonnie N BN McLean Kristen E KE Kohrt Brandon A BA

BMC psychiatry 20120919

<h4>Background</h4>Since 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.<h4>Methods</h4>We conducted a cross-sectional, zone-stratified household survey of 408 adults in Haiti's Central Plateau. Depression symptomatology was assessed with a culturally-ad ...[more]

PMID: 22992379

Similar Datasets

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:INTRODUCTION:Suicide is a disastrous act which has a significant effect on the global burden of disease, contributing yearly to 1.4% of the total burden with the foremost role played by a people aged between 15 and 35 years. Medical students are one of the high-risk groups for suicide. This increased risk may begin during medical school and leads to premature death. But, there is a paucity of epidemiologically reliable data on the issue. Therefore, the current study was aimed to assess the prevalence and associated factors of suicidal ideations and attempt among undergraduate medical students of Haramaya University. METHOD:An institutional based cross-sectional study was conducted from May 13 to June 12, 2019 at College of Health and Medical Science, Haramaya University. Stratified sampling technique was used and a total of 757 participants were selected by using simple random sampling technique. Data were collected using a self-administered questionnaire. Suicidal ideation and attempt were assessed by using suicidal module of world mental health survey initiative version of the World Health Organization, composite international diagnostic interview. Data were analyzed using Statistical Package for Social Science Version 20. Descriptive results were presented by tables and graphs. Bivariate and multivariate logistic regression analyses were done to identify factors associated with suicidal ideation and attempt. P-values less than 0.05 were considered statistically significant and the strength of association was presented by an adjusted odds ratio with 95% confidence interval. RESULT:The study showed that the prevalence of suicidal ideation and attempt were 23.7% (95%CI, 20.5-26.8) and 3.9% (95%CI, 2.6-5.5), respectively. Cumulative grade point average (AOR = 0.30, 95% CI: 0.18-0.49), current alcohol use (AOR = 2.26, 95%CI: 1.45-3.55), depression (AOR = 3.58, 95%CI: 2.23-5.76), anxiety (AOR = 3, 95%CI: 1.88-4.77), and poor social support (AOR = 2.57, 95%CI: 1.41-4.68) were the factors statistically associated with the suicidal ideation. Depression (AOR = 5.4, 95%CI: 1.45-20.14) and anxiety (AOR = 3.19, 95%CI: 1.01-10.18) were associated with the suicidal attempts. CONCLUSION:This study showed that the high prevalence of suicidal ideation and attempt as compared to the prevalence of suicidal behavior among other university students who were studying in other fields. Cumulative Grade Point Average, current alcohol use, depression, anxiety and poor social support were the factors statistically associated with the suicidal ideation. Depression and anxiety were the ones associated with the suicidal attempt. Early screening, detection and management of suicidal behavior and associated mental health problems were recommended for undergraduate medical students.

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

Depression, suicidal ideation, and associated factors: a cross-sectional study in rural Haiti.

Background

Methods

Results

Conclusions

Publications

Depression, suicidal ideation, and associated factors: a cross-sectional study in rural Haiti.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets