Social support, distress, stress, anxiety, and depression as predictors of suicidal thoughts among selected university students in Bangladesh
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ABSTRACT:
SUBMITTER: Howlader S
PROVIDER: S-EPMC11020522 | biostudies-literature | 2024 Jan
REPOSITORIES: biostudies-literature
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Project description:AimsProspective studies on the mental health of university students highlighted a major concern. Specifically, young adults in academia are affected by markedly worse mental health status than their peers or adults in other vocations. This situation predisposes to exacerbated disability-adjusted life-years.MethodsWe enroled 1,388 students at the baseline, 557 of whom completed follow-up after 6 months, incorporating their demographic information and self-report questionnaires on depressive, anxiety and obsessive-compulsive symptoms. We applied multiple regression modelling to determine associations - at baseline - between demographic factors and self-reported mental health measures and supervised machine learning algorithms to predict the risk of poorer mental health at follow-up, by leveraging the demographic and clinical information collected at baseline.ResultsApproximately one out of five students reported severe depressive symptoms and/or suicidal ideation. An association of economic worry with depression was evidenced both at baseline (when high-frequency worry odds ratio = 3.11 [1.88-5.15]) and during follow-up. The random forest algorithm exhibited high accuracy in predicting the students who maintained well-being (balanced accuracy = 0.85) or absence of suicidal ideation but low accuracy for those whose symptoms worsened (balanced accuracy = 0.49). The most important features used for prediction were the cognitive and somatic symptoms of depression. However, while the negative predictive value of worsened symptoms after 6 months of enrolment was 0.89, the positive predictive value is basically null.ConclusionsStudents' severe mental health problems reached worrying levels, and demographic factors were poor predictors of mental health outcomes. Further research including people with lived experience will be crucial to better assess students' mental health needs and improve the predictive outcome for those most at risk of worsening symptoms.
| S-EPMC10387450 | biostudies-literature
Project description:BackgroundPerfectionism, low self-esteem and external locus of control are psychological constructs linked to insomnia, anxiety and depression. Examining how these constructs impact mental health and serve as risk factors for the development of clinically significant symptoms may help direct psychological support resources and preventative measures for university students.AimsTo longitudinally examine associations between the aforementioned psychological constructs and symptoms of insomnia, anxiety and depression in a large representative sample of first-year university students.MethodElectronic surveys including validated measures of the predictors and outcomes were emailed to all first-year undergraduate students at entry to a major Canadian university, and followed up on at conclusion of the academic year.ResultsCompared with healthy sleepers, students screening positive for insomnia had lower self-esteem, higher self-evaluative perfectionism and increased external locus of control (all P < 0.001). Self-evaluative perfectionism (standardised β = 0.13, P < 0.01), self-esteem (β = -0.30, P < 0.001) and external locus of control (β = 0.07, P = 0.02) measured at entry were significantly associated with insomnia symptoms at follow-up. Insomnia symptoms at entry were strong predictors of symptoms of depression (β = 0.15, P < 0.001) and anxiety (β = 0.16, P < 0.001) at follow-up, even after controlling for baseline symptoms of those disorders.ConclusionsPerfectionism, low self-esteem and external locus of control may predispose the development of insomnia symptoms in university students. In turn, insomnia symptoms appear to be robust predictors for depressive and anxiety symptoms. Sleep may be an important prevention target in university students.
| S-EPMC9059737 | biostudies-literature
Project description:Despite existing wellbeing services, university students remain particularly vulnerable to mental health difficulties. Therefore, this study was designed to provide a comprehensive assessment of the prevalence of psychiatric symptoms by using well validated scales with robust psychometric properties. More specifically, the current data provides crucial information concerning the prevalence of anxiety, depression, mania, insomnia, stress, suicidal ideation, psychotic experiences and loneliness amongst a sample of N = 1408 UK university students. A cross-sectional online questionnaire-based study was implemented. Online recruitment for this dataset began on September 17th, 2018, and ended on the 30th July 2019. Eight validated measures were used: Generalized Anxiety Disorder Scale; Patient Health Questionnaire; The Mood Disorder Questionnaire; The Sleep Condition Indicator; The Perceived Stress Scale; Suicidal Behaviours Questionnaire-Revised; The Prodromal Questionnaire 16 (PQ-16); and the University of California Loneliness Scale. The dataset is available to other researchers and is provided on figshare. Information concerning the data records, usage notes, code availability and technical validation are presented. Finally, we present demographic information concerning psychiatric symptom prevalence.
| S-EPMC10499890 | biostudies-literature
Project description:BackgroundImpulsivity is associated with suicidal acts and ideation, whereas higher religious commitment has been identified as a potential protective factor linked to lower suicidal ideation.ObjectivesWe examined the extent to which higher religious commitment is associated with lower suicidal ideation and whether religious commitment modifies the relationship between impulsivity and suicidal ideation.MethodsAdolescent and young adult males, with a prior history of suicidal act and ideations, completed standardized questionnaires [i.e., Beck Scale for Suicidal Ideation (BSS), Barratt Impulsivity Scale-II (BIS-II), Depression Anxiety Stress Scale (DASS), and Religious Commitment Inventory-10 (RCI-10)], to assess impulsivity, suicidal ideation, distress, and religious commitment. Regression and mediation analyses were performed to investigate the relationships among impulsivity, religious commitment, and suicidal ideation.ResultsOf the 747 study participants (mean age 18.8 years, SD = 4.1), 151 (20.2%) had a history of suicidal acts and 177 (23.7%) had a history of suicidal ideation. Non-planning impulsivity (predictor) was inversely associated with religious commitment (r = -0.33, p < 0.01), and religious commitment (mediator) was inversely related to suicidal ideation (outcome) (r = -0.32, p < 0.01). These findings remained statistically significant when controlling for either religious commitment or non-planning impulsivity, as appropriate. Higher religious commitment reduced the association between non-planning impulsivity and suicidal ideation (p < 0.01).ConclusionThe findings highlight the potential for cultivating spirituality to buffer against higher suicidal ideation, and thus could be considered as an additional therapeutic strategy for individuals with higher levels of impulsivity and co-morbid suicidal ideation.
| S-EPMC10113498 | biostudies-literature
Project description:BackgroundCertain demographic factors have long been cited to confer risk or protection for suicidal thoughts and behaviors. However, many studies have found weak or non-significant effects. Determining the effect strength and clinical utility of demographics as predictors is crucial for suicide risk assessment and theory development. As such, we conducted a meta-analysis to determine the effect strength and clinical utility of demographics as predictors.MethodsWe searched PsycInfo, PubMed, and GoogleScholar for studies published before January 1st, 2015. Inclusion criteria required that studies use at least one demographic factor to longitudinally predict suicide ideation, attempt, or death. The initial search yielded 2,541 studies, 159 of which were eligible. A total of 752 unique statistical tests were included in analysis.ResultsSuicide death was the most commonly studied outcome, followed by attempt and ideation. The average follow-up length was 9.4 years. The overall effects of demographic factors studied in the field as risk factors were significant but weak, and that of demographic factors studied as protective factors were non-significant. Adjusting for publication bias further reduced effect estimates. No specific demographic factors appeared to be strong predictors. The effects were consistent across multiple moderators.ConclusionsAt least within the narrow methodological constraints of the existing literature, demographic factors were statistically significant risk factors, but not protective factors. Even as risk factors, demographics offer very little improvement in predictive accuracy. Future studies that go beyond the limitations of the existing literature are needed to further understand the effects of demographics.
| S-EPMC5507259 | biostudies-literature
Project description:This study investigated the reliability and factorial validity of General Anxiety Disorder-7 (GAD-7) in the context of university students in Bangladesh. The research aimed to assess whether the original one-dimensional model or a model containing both somatic and cognitive-emotional factors is appropriate. A repeated cross-sectional survey design based on convenience sampling was used to collect data from 677 university students. The factor structure of the GAD-7 was assessed by exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), and its convergent validity was determined by investigating its correlations with Patient Health Questionnaire-9 (PHQ-9) and Patient Health Questionnaire Anxiety-Depression Scale (PHQ-ADS). Results showed excellent reliability of GAD-7 as measured by Cronbach's α. CFA suggested that a modified one-factor model is appropriate for the sample. This model provided high values of comparative fit index (CFI), goodness of fit index (GFI), and Tucker Lewis Index (TLI), low value of standardized root mean square residual (SRMR) and a non-significant root mean square error of approximation (RMSEA). Correlation between GAD-7 and PHQ-9 was 0.751 and 0.934 between GAD-7 and PHQ-ADS. Overall, the study provided support for modified unidimensional structure for GAD-7 and showed high internal consistency along with good convergent validity.
| S-EPMC8675645 | biostudies-literature
Project description:BackgroundThough the association between anxiety disorders and suicidal behavior is well-described, the impact of anxiety symptoms on suicidal thoughts and behaviors (STB) across different mood disorders is still unclear.MethodsWe performed a registry-based retrospective study utilizing outcome measure data collected by the National Network of Depression Centers (NNDC), a nationwide nonprofit consortium of 26 leading clinical and academic member centers in the United States. The sample consisted of 2607 outpatients with mood disorders (major depressive disorder or bipolar disorders). Demographic and clinical variables were compared based on the presence or absence of STB and severity of anxiety symptoms (minimal, mild, moderate, and severe). Univariate and multivariable logistic regressions were conducted to examine the correlations of STB, considering multicollinearity.ResultsPatients with mild, moderate, and severe anxiety symptoms had higher odds of STB than those with minimal symptoms. Gender, marital status, age, and depressive symptoms were other strong predictors of STB. There was no difference in the odds of STB between patients with major depressive disorder (MDD) and those with bipolar disorders (BD). However, the odds of suicidal ideation were slightly lower among patients with BD than those with MDD.LimitationsOur sample was comprised only of outpatients, limiting the generalization of our findings. Other limitations include the lack of structured interviews for diagnostic characterization of the patients and the utilization of data on anxiety and mood obtained solely through self-report scales.ConclusionsWe found a cross-sectional association between the severity of anxiety symptoms and STB among patients with mood disorders. This study demonstrates the need for a suicide risk assessment in patients with mood disorders reporting anxiety symptoms.
| S-EPMC9321173 | biostudies-literature
Project description:Background and aimsPsychological disorders like anxiety and depression are prevalent among dental professionals, being responsible for negatively affecting their mental health. Such factors are detrimental and may lead to suicidal thoughts and ideation. This study aimed to evaluate the impact of anxiety and depression on suicidal thoughts and ideation among dental professionals in Pakistan.MethodsThis descriptive, cross-sectional study formulated a self-reporting online questionnaire of dental professionals of Karachi, Pakistan between September and December 2023. The online questionnaire consisted of demographics and validated tools to measure anxiety using GAD-7, depression using PHQ-9, and Suicide thoughts and ideation using SIDAS.ResultsA total of 636 dental professionals were recruited in the study. Overall, 76.1% of the participants reported moderate to severe anxiety, 64.1% experienced moderate to severe depression, and 11.9% of participants reported high levels of suicidal thoughts and ideation. Anxiety and depression had a statistically significant association with suicide among dental professionals (p-value < 0.001).ConclusionThis study highlights the positive association of anxiety and depression with suicidal ideation and thoughts among dental professionals. Hence, it is important to monitor the mental health of dental professionals and provide essential health and support to overcome such psychological distress.
| S-EPMC11896810 | biostudies-literature
Project description:Suicidal thoughts and behaviours are prevalent among college students. Yet little is known about screening tools to identify students at higher risk. We aimed to develop a risk algorithm to identify the main predictors of suicidal thoughts and behaviours among college students within one-year of baseline assessment. We used data collected in 2013-2019 from the French i-Share cohort, a longitudinal population-based study including 5066 volunteer students. To predict suicidal thoughts and behaviours at follow-up, we used random forests models with 70 potential predictors measured at baseline, including sociodemographic and familial characteristics, mental health and substance use. Model performance was measured using the area under the receiver operating curve (AUC), sensitivity, and positive predictive value. At follow-up, 17.4% of girls and 16.8% of boys reported suicidal thoughts and behaviours. The models achieved good predictive performance: AUC, 0.8; sensitivity, 79% for girls, 81% for boys; and positive predictive value, 40% for girls and 36% for boys. Among the 70 potential predictors, four showed the highest predictive power: 12-month suicidal thoughts, trait anxiety, depression symptoms, and self-esteem. We identified a parsimonious set of mental health indicators that accurately predicted one-year suicidal thoughts and behaviours in a community sample of college students.
| S-EPMC8206419 | biostudies-literature
Project description:Biomarkers, Social & Affective Predictors of Suicidal Thoughts & Behaviors in Adolescents (Lifespan Hospitals_Nugent)
| PRJNA834539 | ENA