Mental health knowledge and awareness among university students in Bangladesh

Siddique, Md. Abu Bakar; Ovi, Musaddiqur Rahman; Ahammed, Tanvir; Chowdhury, Muhammad Abdul Baker; Uddin, Jamal

doi:10.1016/j.heliyon.2022.e11084

Cited by 10 publications

(9 citation statements)

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“…Given this prevalent structure, these five schools effectively represent the country's diverse academic pursuits of university students. Thus, the decision to focus on these schools was practical and representative, as students in Bangladesh predominantly enroll in programs affiliated with one of these disciplines 4 . During the data collection period, the Bangladeshi government imposed a complete lockdown due to the COVID‐19 outbreak and all educational institutions in the country were closed.…”

Section: Methodsmentioning

confidence: 99%

“…Thus, the decision to focus on these schools was practical and representative, as students in Bangladesh predominantly enroll in programs affiliated with one of these disciplines. 4 During the data collection period, the Bangladeshi government imposed a complete lockdown due to the COVID-19 outbreak and all educational institutions in the country were closed. Consequently, in lieu of in-person interviews, the study conducted an online questionnaire survey for its feasibility, convenience, and affordability.…”

Section: Study Population and Data Sourcementioning

confidence: 99%

“…26,27 Moreover, financial obstacles affect middle-class students, impacting their mental health. 4,30 Comparatively, private university students exhibit better mental health. 31 Considering these findings, the study included these variables to better understand their impact on mental health among university students.…”

Section: Introductionmentioning

confidence: 99%

“…One in every four young people experiences mental illness yearly, 1,2 with 75% of such illnesses starting before age 24 years. 3,4 Furthermore, one-third of university students have diagnosable mental disorders. 5 Attending university is a transitional period that can bring unexpected difficulties.…”

Section: Introductionmentioning

confidence: 99%

“…It also rises with the academic year 26,27 . Moreover, financial obstacles affect middle‐class students, impacting their mental health 4,30 . Comparatively, private university students exhibit better mental health 31 .…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Assessment of mental wellbeing of university students in Bangladesh using Goldberg's GHQ‐12: A cross‐sectional study

Ovi,

Siddique,

Ahammed

et al. 2024

Health Science Reports

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Background and AimsThe mental well‐being of university students is a primary public health concern worldwide, including in Bangladesh. The objective of this study was to determine the prevalence of the overall mental health status among Bangladeshi university students. The study used larger and more diverse sample compared to previous studies, and also explored factors associated with the mental health well‐being of those students.MethodsData were collected through an online questionnaire, utilizing the proportional allocation method, from students in various universities across Bangladesh. The sample included 2036 participants. The study applied Goldberg's General Health Questionnaire (GHQ‐12) using the GHQ2+ threshold (i.e., having more than two symptoms). A binary outcome variable was created with two levels: “good mental health” and “poor mental health,” to assess the mental health status of the university students. The explanatory variables were age, gender, academic year, type of university, and sources of personal expenses. Exploratory data analysis, association tests, and binary logistic regression models were used to identify factors influencing the outcome variable.ResultsA total of 55.9% of students (male: 52.6% and female: 62.8%) exhibited poor mental health status. Female students' mental health was found to be worse (odds ratio [OR]: 1.49, 95% confidence interval [CI]: 1.23–1.81) compared to that of males. Similarly, public university students displayed a worse mental health condition than their counterparts in private universities (OR: 1.29, 95% CI: 1.03–1.61).ConclusionThe overall mental health of university students in Bangladesh is concerning. There is a pressing need for effective mental health policies and interventions to bolster the mental well‐being of university students, with a specific focus on students from public universities and females.

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Section: Methodsmentioning

confidence: 99%

Section: Study Population and Data Sourcementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Assessment of mental wellbeing of university students in Bangladesh using Goldberg's GHQ‐12: A cross‐sectional study

Ovi,

Siddique,

Ahammed

et al. 2024

Health Science Reports

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Knowledge, attitude, and practice of depression among university students

Wang,

2024

Brain and Behavior

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IntroductionThis study aimed to investigate the knowledge, attitude, and practice (KAP) of depression among university students.MethodsA cross‐sectional survey was carried out across randomly selected universities in Shandong Province from October 25, 2023, to November 8, 2023. Demographic information and KAP scores were assessed through the administration of questionnaires. The reliability of the questionnaire was confirmed with a Cronbach's alpha coefficient of 0.816 and the Kaiser–Meyer–Olkin measure of 0.894.ResultsThis study included 2448 university students, with 1489 (60.8%) females. The median scores for KAP were 20 (Interquartile Range (IQR): 17–21), 26 (IQR: 23–28), and 35 (IQR: 32–38), respectively. Multivariate regression analysis indicated that being a junior (odds ratio [OR] = 0.720, 95% Confidence Interval (CI): 0.538–0.965, p = .028), senior or above (OR = 0.474, 95% CI: 0.325–0.691, p < .001), having divorced parents (OR = 0.618, 95% CI: 0.409–0.933, p = .022), having direct relatives with depression (OR = 0.710, 95% CI: 0.589–0.856, p < .001), and lacking intimate friends (OR = 0.344, 95% CI: 0.245–0.484, p < .001) were negatively associated with practice. Only having an attitude score of ≥26 (OR = 5.076, 95% CI: 4.230–6.091, p < .001) was significantly and positively associated with practice.ConclusionUniversity students had insufficient knowledge, positive attitude, and passive practice toward depression. Clinical interventions should focus on enhancing the understanding and management of depression among university students, particularly through targeted educational programs and support groups, to bridge the gap between knowledge and practice and foster a proactive approach to mental health care.

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Predicting anxiety, depression, and insomnia among Bangladeshi university students using tree‐based machine learning models

Chowdhury,

Rad,

Rahman

2024

Health Science Reports

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Background and AimsMental health problem is a rising public health concern. People of all ages, specially Bangladeshi university students, are more affected by this burden. Thus, the objective of the study was to use tree‐based machine learning (ML) models to identify major risk factors and predict anxiety, depression, and insomnia in university students.MethodsA social media‐based cross‐sectional survey was employed for data collection. We used Generalized Anxiety Disorder (GAD‐7), Patient Health Questionnaire (PHQ‐9) and Insomnia Severity Index (ISI‐7) scale for measuring students' anxiety, depression and insomnia problems. The tree‐based supervised decision tree (DT), random forest (RF) and robust eXtreme Gradient Boosting (XGBoost) ML algorithms were used to build the prediction models and their predictive performance was evaluated using confusion matrix and receiver operating characteristic (ROC) curves.ResultsOf the 1250 students surveyed, 64.7% were male and 35.3% were female. The students' ages ranged from 18 to 26 years old, with an average age of 22.24 years (SD = 1.30). Majority of the students (72.6%) were from rural areas and social media addicted (56.6%). Almost 83.3% of the students had moderate to severe anxiety, 84.7% had moderate to severe depression and 76.5% had moderate to severe insomnia problems. Students' social media addiction, age, academic performance, smoking status, monthly family income and morningness‐eveningness are the main risk factors of anxiety, depression and insomnia. The highest predictive performance was observed from the XGBoost model for anxiety, depression and insomnia.ConclusionThe study findings offer valuable insights for stakeholders, families and policymakers enabling a more profound comprehension of the pressing mental health disorders. This understanding can guide the formulation of improved policy strategies, initiatives for mental health promotion, and the development of effective counseling services within university campus. Additionally, our proposed model might play a critical role in diagnosing and predicting mental health problems among Bangladeshi university students and similar settings.

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Mental health knowledge and awareness among university students in Bangladesh

Cited by 10 publications

References 52 publications

Assessment of mental wellbeing of university students in Bangladesh using Goldberg's GHQ‐12: A cross‐sectional study

Assessment of mental wellbeing of university students in Bangladesh using Goldberg's GHQ‐12: A cross‐sectional study

Knowledge, attitude, and practice of depression among university students

Predicting anxiety, depression, and insomnia among Bangladeshi university students using tree‐based machine learning models

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