Suicidal behaviors among Bangladeshi university students: Prevalence and risk factors

Rasheduzzaman, M; Al‐Mamun, Firoj; Hosen, Ismail; Akter, Tahmina; Hossain, Moazzem; Griffiths, Mark D.; Mamun, Mohammed A.

doi:10.1371/journal.pone.0262006

Cited by 23 publications

(38 citation statements)

References 43 publications

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“…[52] Moreover, mood, anxiety, psychotic, and trauma-related disorders were also significantly associated with suicidal behaviors among Bangladeshi students. [53] During the COVID-19 pandemic, students with psychopathological conditions, including depression, anxiety, and stress, were found to be more likely to have suicidal risk factors,. [20,54] Among demographic features, sex, relationship status, family type, and income were crucial predictors of suicidal risk.…”

Section: Discussionmentioning

confidence: 99%

Machine learning approaches for predicting suicidal behaviors among university students in Bangladesh during the COVID-19 pandemic: A cross-sectional study

et al. 2023

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Psychological and behavioral stress has increased enormously during Coronavirus Disease 2019 (COVID-19) pandemic. However, early prediction and intervention to address psychological distress and suicidal behaviors are crucial to prevent suicide-related deaths. This study aimed to develop a machine algorithm to predict suicidal behaviors and identify essential predictors of suicidal behaviors among university students in Bangladesh during the COVID-19 pandemic. An anonymous online survey was conducted among university students in Bangladesh from June 1 to June 30, 2022. A total of 2391 university students completed and submitted the questionnaires. Five different Machine Learning models (MLMs) were applied to develop a suitable algorithm for predicting suicidal behaviors among university students. In predicting suicidal behaviors, the most crucial background and demographic features were relationship status, friendly environment in the family, family income, family type, and sex. In addition, features related to the impact of the COVID-19 pandemic were identified as job loss, economic loss, and loss of family/relatives due to COVID-19. Moreover, factors related to mental health include depression, anxiety, stress, and insomnia. The performance evaluation and comparison of the MLM showed that all models behaved consistently and were comparable in predicting suicidal risk. However, the Support Vector Machine was the best and most consistent performing model among all MLMs in terms of accuracy (79%), Kappa (0.59), receiver operating characteristic (0.89), sensitivity (0.81), and specificity (0.81). Support Vector Machine is the best-performing model for predicting suicidal risks among university students in Bangladesh and can help in designing appropriate and timely suicide prevention interventions.

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Section: Discussionmentioning

confidence: 99%

Machine learning approaches for predicting suicidal behaviors among university students in Bangladesh during the COVID-19 pandemic: A cross-sectional study

et al. 2023

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“…Suicidal attempts were assessed by binary question whether they had ever attempted suicide during the past 12 months. 19 , 20 …”

Section: Methodsmentioning

confidence: 99%

Association Between Breakfast Consumption and Suicidal Attempts in Adolescents

Park¹,

Lee²

2022

PRBM

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Purpose It has been previously reported that skipping breakfast is positively associated with increased depression, anxiety, stress, and psychological distress. This study examined the effects of breakfast consumption on suicide attempts among adolescents. Patients and Methods The Korean Youth Risk Behavior Web-based Survey (KYRBWS) is an anonymous self-report survey conducted with middle- and high-school students to understand the health behavior of Korean adolescents. Variables related to suicide risk such as suicide attempts, breakfast frequency, depression, anxiety, and violence were analyzed using multivariate logistic regression analysis. The class selected as the sample class was surveyed for all students and the number of youths selected as the sample in 2020 was 57,925 students from 800 schools (400 middle schools and 400 high schools) in 17 cities and provinces nationwide. Among them, the dataset for this study was 54,948 completed adolescent health behavior surveys. Results Adolescents who attempted suicide often skipped breakfast and had high stress levels. In the regression analysis, those who ate breakfast less than once a week had a stronger association with suicide attempts than the group of six or seven times a week (OR = 2.186; 95% CI = 1.873–2.552). In the group of feeling sadness or hopeless for more than two weeks in the past year, those who ate breakfast zero or once a week (OR = 1.269; 95% CI = 1.044–1.542), or two or three times (OR = 1.300; 95% CI = 1.043–1.619), showed a stronger correlation with suicide attempts than the group of six or seven times a week. Conclusion Breakfast can affect adolescents’ emotions. Helping adolescents regularly eat breakfasts might be a suicide prevention strategy.

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“…Suicidal behaviour such as suicidal ideation is very prominent among university students in Bangladesh. Rasheduzzaman et al (2022) conducted a cross sectional study with university students in Bangladesh. They found that female had higher tendency to commit suicidal behaviour in comparison to male students.…”

Section: Suicidal Behaviour Among University Studentsmentioning

confidence: 99%

Existential Crisis among University Students in Bangladesh

Roy¹,

Muhamad²,

Amat³

2023

IJARPED

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Bio-psycho-social factors can cause various psychological problems which are existential in nature. For instances, psychological problems derived from death of a friend or family member, suicidal ideation, and relationship difficulties are considered as existential crisis. These existential crises exacerbates when a student enters university life, she/he faces different challenges such as adaptation to university life, lack of effective study skills, exam anxiety, adverse life events, relationship problem with family and peers, and couple relationship problems. Therefore, existential crises need to address for betterment of their academic performance. This paper discusses previous studies on existential crisis among university students in relation to 1) academic performance, 2) suicidal behaviour among university students, 3) existential crisis among students during the Covid-19 pandemic, and 4) existential therapy for university students. In conclusion, we propose that existential crisis should be exclusively addressed in education settings for improving academic performance of the students as well as their mental health.

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Suicidal behaviors among Bangladeshi university students: Prevalence and risk factors

Cited by 23 publications

References 43 publications

Machine learning approaches for predicting suicidal behaviors among university students in Bangladesh during the COVID-19 pandemic: A cross-sectional study

Machine learning approaches for predicting suicidal behaviors among university students in Bangladesh during the COVID-19 pandemic: A cross-sectional study

Association Between Breakfast Consumption and Suicidal Attempts in Adolescents

Existential Crisis among University Students in Bangladesh

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