Sopon Akter

Ms. Sopon Akter

orcid

Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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23 February 2025 in Health Science Reports
Verified
Journal Article
Open access
SAShimpi Akter
Shimpi Akter
MHMd Ikbal Hossain
Md Ikbal Hossain
HKHumayun Kabir
Humayun Kabir
SASopon Akter
Sopon Akter
MAMasuda Akter
Masuda Akter
Background and Aims: Bangladesh has been experiencing a rapid demographic shift from the younger population to older adults, with the older adults facing significant challenges due to the absence of residential and formal home care models. This perspective aimed to evaluate the status of residential and formal home care models and propose potential strategies to improve elderly care in Bangladesh.Methods: This perspective utilized a narrative review approach to search existing literature on elderly care in Bangladesh on PubMed, Google Scholar, and Web of Science. The perspective reviewed and presented the status of elderly care and identified gaps in residential and formal home care infrastructure by analyzing existing literature.Results: In Bangladesh, there was no evidence found that any authority had ever initiated or evaluated residential and formal home care programs, showing systematic neglect that resulted in the suffering of older adults. The collapse of the traditional informal family care model, fueled by urban migration and shifting socioeconomic dynamics, has further isolated older adults, leaving them with considerable unmet care needs. The issue is being worsened by a high prevalence of chronic illnesses such as diabetes, hypertension, and cardiovascular disease, as well as the collective inability to meet the growing demand for elderly care. Furthermore, limited access to healthcare services, particularly in rural areas, emphasized the urgent need for comprehensive elderly care models in Bangladesh.Conclusion: The proposed strategies involve developing residential care facilities, probably on a small scale, and integrating formal home care services in Bangladesh. However, conducting preliminary investigations is essential, including investigating the model to be implemented, training caregivers, and establishing financial support programs and regulatory frameworks. Thus, the government and private sector organizations should collaborate to address these challenges of older adults in Bangladesh.

1 December 2025 in Discover Social Science and Health
Verified
Journal Article
Open access
PDF file
ARAnjan Kumar Roy
Anjan Kumar Roy
MHMd Ikbal Hossain
Md Ikbal Hossain
SCSamiul Amin Chowdhury
Samiul Amin Chowdhury
MMMD ABDUL QAUM MEZAN
MD ABDUL QAUM MEZAN
MAMasuda Akter
Masuda Akter
AHAhmed Hossain
Ahmed Hossain
Background Depression and poor mental health well-being are common concerns among nursing students as these outcomes impact students’ academic performance, clinical competence, and quality of life. This study aimed to investigate depression symptoms and mental health well-being, identify their associated predictors, and examine the correlation between depression symptoms and mental health well-being among nursing students in Bangladesh. Methods Between August and October 2022, we collected data for this cross-sectional study via an online questionnaire, which included the PHQ-9 to assess depression symptoms and the WEMWBS-14 to measure mental health well-being. Multiple linear regression models identified predictors of depression and mental health well-being. Pearson correlation assessed the correlation between the depression symptoms score and mental health well-being score. Results A total of 2174 nursing students participated in the study, with a mean age of 20.96 years. Over 60% of students reported moderate to extremely severe depression symptoms. Age, sex, family pressure to choose nursing, and postgraduate qualifications of teachers were significant predictors of depression symptoms. For mental health well-being, age, sex, mother’s education, type of institution, family pressure to choose nursing, availability of subject-specific teachers, and postgraduate qualifications of teachers were the significant predictors. We observed a statistically significant moderate negative correlation (r = − 0.39) between mental health well-being and depression symptoms. Conclusion Depression symptoms were highly prevalent among nursing students who participated in this study and were significantly correlated with poor mental health well-being. Demographic and academic predictors, including family pressure to choose nursing and qualifications of teachers, were significant predictors of depression symptoms and mental health outcomes. The findings emphasize the need for mental health interventions and supportive academic environments within nursing education in the context of Bangladesh.

17 February 2026 in Social Sciences & Humanities Open
Verified
Journal Article
Open access
MHMd Ikbal Hossain
Md Ikbal Hossain
MAMasuda Akter
Masuda Akter
SAShimpi Akter
Shimpi Akter
SASopon Akter
Sopon Akter
HKHumayun Kabir
Humayun Kabir

11 June 2026 in Discover Mental Health
Verified
Journal Article
Open access
PDF file
MHMd Ikbal Hossain
Md Ikbal Hossain
ANAnika Nawar
Anika Nawar
AHAmir Hamza
Amir Hamza
MAMasuda Akter
Masuda Akter
SASopon Akter
Sopon Akter
DMDipak Kumar Mitra
Dipak Kumar Mitra
Introduction Clinical placements are a required component of nursing education. However, the high-demanding nature of these settings may heighten students’ risk for adverse mental health outcomes. This study aimed to investigate the prevalence and factors associated with depression, anxiety, and stress among nursing students during clinical placements. Methods We conducted a cross-sectional study between June 20 and July 12, 2025, among nursing students at a selected nursing college in Sylhet, Bangladesh. Eligible participants must have at least 6 months of clinical placement experience. The study included socio-demographic, academic, and clinical placement-related variables. The Depression, Anxiety, and Stress (DASS-21) scale was used to assess depression, anxiety, and stress symptoms. The DASS-21 scale is a screening tool that assesses symptom severity rather than a diagnostic tool. Data were analyzed using descriptive statistics, t-tests, one-way ANOVA, Pearson's correlation, and multiple linear regression. Results A total of 382 nursing students participated, with a mean age of 21.69 years. The prevalence of depression, anxiety, and stress symptoms (mild to extremely severe) was 74.6%, 77.8%, and 53.1%, respectively. Being female, having poor peer relationships, lacking rest opportunities, and being dissatisfied with the behaviour of nurses were significantly associated with depression. Female students, those who had no rest opportunities, and those who spent 100% of their clinical hours standing, were significantly associated with anxiety. Female students, those with poor peer relationships, and those dissatisfied with the behaviour of nurses were significantly associated with stress. Depression, anxiety, and stress scores were strongly correlated. Conclusion Although clinical placements are fundamental to nursing education, students often face mental health challenges during these training periods. Our findings reveal a high prevalence of depression, anxiety, and stress and several factors associated with these outcomes. Therefore, strengthening support systems and improving clinical placement conditions may be crucial for both student well-being and the sustainability of a resilient nursing workforce in Bangladesh.

11 August 2026 in Routledge Open Research
Verified
Journal Article
Open access
TRTitas Roy
Titas Roy
AHAmit Halder
Amit Halder
MHMd Ikbal Hossain
Md Ikbal Hossain
MAMasuda Akter
Masuda Akter
AKAnar Koly
Anar Koly
HKHumayun Kabir
Humayun Kabir
Background It is well known that uniforms convey identity, discipline, and professionalism in nursing. In many countries, nursing uniforms are regulated institutionally. Bangladesh, however, has a national policy that regulate colour and style of nursing uniform. Concerns have emerged regarding the acceptance of current olive-coloured uniform among nursing community. This study aimed to explore acceptance of the current uniform and colour preferences in Bangladesh. Methods This cross-sectional study was conducted among nurses and nursing students in Bangladesh from May 18, 2025, to August 2, 2025. Participants were recruited through convenience sampling. Acceptance of the current olive-coloured uniform was assessed using an eight-item measure. Descriptive statistics summarized participant characteristics and colour preferences. Mann–Whitney U and Kruskal–Wallis tests were used to explore differences across groups. Data were analyzed using R version 4.5.2. Results A total of 1403 participated; among them, 525 were nurses, and 878 were nursing students. The mean age of nurses was 28.16 ± 3.63 years, and that of nursing students was 21.78 ± 1.44 years. The mean acceptance scores among nurses and nursing students were 14.91 ± 7.44 and 16.79 ± 8.91, respectively. Among nurses, being married, living in urban areas, having higher household income and salary, having more work experience, and being employed in the private sector were significantly associated with lower acceptance score. For nursing students, being male, from Sylhet division, enrolled in the BSc in Nursing, from government institutions, and having no prior experience wearing an all-white uniform were significantly associated with lower acceptance score. Regarding colour preferences, white was most preferred for top wear, and black was most preferred for both bottom wear and winter wear. Conclusions The low acceptance of the current olive-coloured nursing uniform highlights the importance of rigorous research and involving nurses and nursing students in policy decisions. Evidence-informed reform of national nursing uniform policies may improve professional satisfaction and acceptability.

3 November 2026 in Health Open Research
Verified
Journal Article
Open access
TRTitas Roy
Titas Roy
MAMasuda Akter
Masuda Akter
AHAmit Halder
Amit Halder
MHMd Ikbal Hossain
Md Ikbal Hossain
SASopon Akter
Sopon Akter
HKHumayun Kabir
Humayun Kabir
Background Uniforms convey identity, discipline, and professionalism in nursing and may contribute to mental well-being. Although the current olive-colored nursing uniform in Bangladesh has shown relatively low acceptance, limited knowledge about how this relates to mental well-being. Therefore, this study employed machine learning techniques to identify the factors related with mental well-being. Methods This cross-sectional study was conducted among nurses and nursing students in Bangladesh from May 18, 2025, to August 2, 2025. A convenience sampling technique was applied to recruit participants. We used the WHO-5 Well-Being Index scale to measure mental well-being, and uniform acceptance was assessed using an eight-item measure. Statistical analysis included Mann–Whitney U, Kruskal–Wallis tests, and Spearman’s rank correlation, while two machine learning models, including Random Forest and XGBoost, were employed to predict mental well-being. Data were analyzed using R version 4.5.2. Results Of the 1403 participants surveyed, 525 were nurses, and 878 were nursing students. The average age of nurses was 28.16 ± 3.63 years, and that of nursing students was 21.78 ± 1.44 years. The mean mental well-being scores for nurses and nursing students were 6.07 ± 7.17 and 7.40 ± 8.08, respectively. The acceptance score was the most important predictor of mental well-being for both nurses and nursing students. Among nurses, other important predictors included educational qualification, work experience, and monthly family income. Among nursing students, the nursing program and age were also important predictors. Conclusions The findings highlight that increasing the acceptance of the uniform may enhance the mental well-being of nurses and nursing students. Future uniform policies should consider the preferences of nurses and nursing students to may improve their acceptance, mental well-being, and enhance patient care.