Intimate partner violence (IPV) is a major public health concern in Bangladesh, where approximately two-thirds of women report experiencing partner violence and over half of young men admit to perpetrating it. While adverse childhood experiences (ACEs) are among the strongest predictors of IPV, existing research has relied on cumulative ACE scores, overlooking how distinct dimensions of childhood adversity may differentially predict violence. This study examines the relationship between two dimensions of ACEs, threat (eg, exposure to violence) and deprivation (eg, lack of emotional or cognitive support) and IPV perpetration among Bangladeshi young adults.
Cross-sectional survey.
Bangladeshi youths aged 18–35 years across the eight divisions who participated in the national Gender Norms Attitude Study in 2022.
Of the 2790 participants, 2016 (mean age 28.27, SD 5.11) were included in this study as they were either married or in a committed relationship.
The primary outcome measures were IPV perpetration, assessed using the Hurt, Insult, Threaten, Scream scale. The primary exposures were two dimensions of childhood adversity (ACE): threat and deprivation, derived from the nine items commonly used in public health research.
Overall, 59.88% of men and 41.53% of women reported having perpetrated IPV. Both threat (adjusted OR (aOR)=2.57; 95% CI 2.03 to 3.23) and deprivation (aOR=1.75; 95% CI 1.39 to 2.20) ACEs significantly associated higher odds of IPV perpetration. Women had lower odds of perpetration than men (aOR=0.41; 95% CI 0.32 to 0.52), as did those with higher socioeconomic status (aOR=0.83), whereas the odds varied by region (eg, highest in Barisal, aOR=4.40).
Conclusions
The findings highlight the importance of adopting a dimensional approach to ACEs and considering regional and socioeconomic factors in IPV prevention efforts. By integrating these findings into public health interventions and policy frameworks, Bangladesh and other low- and middle-income countries can develop more effective, culturally sensitive strategies to reduce IPV and its devastating consequences.
Cardiovascular disease (CVD) remains a leading cause of global morbidity and mortality, with self-management playing a pivotal role in improving outcomes. Voice-assisted artificial intelligence (AI) technologies such as virtual assistants and voice-controlled applications have emerged as innovative tools for healthcare delivery. While the technologies show promise in areas like primary prevention and chronic disease management, their effectiveness in supporting self-management for patients with CVD remains underexplored. This study aims to evaluate the impact of voice-assisted AI technologies on CVD self-management, specifically focusing on cardiovascular-related mortality, health-related quality of life (HRQoL) and adherence to lifestyle modifications.
A systematic review and meta-analysis will be conducted following the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols. A comprehensive search will be performed across databases such as MEDLINE, Scopus, Embase and Cochrane Central Register of Controlled Trials (CENTRAL), from 2010 to 2025. The review will include randomised controlled trials (RCTs), non-RCTs and observational studies that evaluate voice-assisted AI interventions (eg, voice-controlled fitness apps, smart health assistants) aimed at CVD self-management. The primary outcome will be cardiovascular-related mortality. Secondary outcomes will include HRQoL, clinical outcomes (eg, high blood pressure), lipid profiles (eg, cholesterol and glucose levels) and lifestyle modifications (eg, dietary habits and levels of physical activity). Data management and analysis will be conducted using Comprehensive Meta-Analysis software V.2.0. The methodological quality of the included studies will be assessed using the Cochrane Risk of Bias tool for RCTs and the Newcastle-Ottawa Scale for observational studies. The meta-analysis will use random-effects models, with heterogeneity assessed using Q and I² statistics. Subgroup analyses and meta-regression will be conducted to explore potential sources of heterogeneity.
No formal ethical assessment is required, as this study involves analysis of publicly available secondary data. Findings will be disseminated through publications in peer-reviewed scientific journals, conference presentations and media coverage to inform healthcare providers, policymakers and patients.
CRD42024568702.
This study applied a socio-material practice lens to examine health professionals’ responses to methanol poisoning in Bangladesh and to compare these practices with established guidelines.
This study employed a rapid ethnographic design.
Data were generated in primary-level, secondary-level and tertiary-level health facilities in six districts of western Bangladesh between September 2024 and May 2025.
We carried out semi-structured interviews with 50 health professionals with responsibilities for managing patients experiencing alcohol-related or poisoning-related conditions.
Among health professionals, the meanings of methanol poisoning as a diagnostic category, its symptoms and treatments are obscured by moral concerns about alcohol. Materials, including antidotes, for managing methanol poisoning were scarce, and health professionals reported using readily available medical supplies for supportive treatment, though not specifically adapted for methanol poisoning. Health professionals’ care practices for responding to methanol poisoning were often structured by these meanings and materials, with guidelines remaining largely invisible.
Socio-material practices of health professionals in response to methanol poisoning in Bangladesh are characterised by missed opportunities. Improving responses requires shifting the meanings of methanol poisoning as a diagnostic category, ensuring that materials such as treatment guidelines and appropriate antidotes, such as ethanol and fomepizole, are available and supporting providers to enact care practices that reflect these guidelines.
This study aimed to determine the prevalence and contributing factors of complete measles vaccination with key attention to maternal health-seeking behaviour.
The study used secondary data from the Bangladesh Demographic and Health Survey (BDHS) 2017–2018, which was a cross-sectional study.
Data extracted from the BDHS 2017–2018 dataset. It is the latest available nationally representative dataset containing measles vaccination data.
The sample comprised 2651 children aged 15–59 months in Bangladesh.
The study analysed participants’ sociodemographic characteristics, maternal health-seeking behaviour and measles vaccination coverage. Frequency distributions, 2 tests, and stepwise binary logistic regression analysis were performed.
The prevalence of complete (first dose at 9 months and second dose at 15 months or later) measles vaccination coverage was 80% among Bangladeshi children. Complete measles vaccination coverage was significantly higher among babies of mothers who had completed at least an antenatal visit (AOR 1.71, p
The study recommends strengthening the complete measles vaccination coverage in Bangladesh, which is still behind the target. Specific measures should be taken to increase antenatal care and postnatal care coverage and provide institutional delivery facilities. The study’s findings would contribute to attaining the Sustainable Development Goals for children’s health in Bangladesh by mitigating measles-related morbidity and mortality.
by Mohammad Nazmol Hasan, Md. Robin Islam, Rafee Shahrier, Md. Bayazid Hossen
Abiotic stressors, such as drought, salinity, and heavy metals, induce physiological changes, nutritional imbalances, molecular alterations, and oxidative stress in plants, which significantly reduce productivity. However, the secondary transporters, multidrug and toxic compound extrusion (MATE) proteins, transport substrates and metabolites. Accordingly, in response to abiotic stressors, these proteins strengthen plants’ immune systems, detoxify toxins, and enhance growth and development. Although the roles of MATE proteins responding to abiotic stresses have been investigated in several plants, their functions in sunflower have not yet been discovered. Therefore, this study identified 74 MATE proteins in sunflower (HanMATE) based on phylogenetic analysis, which were distributed into four subgroups. Their MATE-like properties were then validated using the domain, motif, gene structure, gene duplication, and physicochemical analysis. The HanMATE proteins in various cell organelles play a crucial role in abiotic stress tolerance, scavenging reactive oxygen species (ROS), and regulating transcription. Subsequently, Most HanMATE genes are enriched with biological processes and molecular functions that transport micro- and macro-molecules, drugs, negatively charged ions, organic anions, and citrate. The important Cis-regulatory elements (CREs), abscisic acid-, light-, and MeJA-responsive elements in HanMATE genes regulate plants’ growth and development in stress conditions. The synteny analysis indicated that 41 HanMATE proteins exhibit over 75% sequence similarity with 40 established stress-responsive (SR) MATE proteins from various plant species, suggesting their potential SR characteristics. Furthermore, this study identified 136 microRNAs linked to 58 HanMATE proteins, including 19 major hub microRNAs and 31 hub HanMATE proteins, which may enhance sunflower agronomic traits and abiotic stress resistance. The HanMATE proteins are conserved in other species that contribute to detoxification and have stable binding affinity with flavonoids and citric acid, validated from 3D structural modeling, molecular docking (MD), dynamic simulation, and functional prediction. These findings demonstrate that HanMATE genes are essential for sunflower abiotic stress tolerance (AST), and genetic engineering can be applied to develop more robust sunflower.To assess the mental health status and identify associated factors among rural adult women in Bangladesh.
Cross-sectional study using face-to-face interviews with a semistructured questionnaire.
Data were collected between January and February 2025 in three rural upazilas (Dhamrai, Nawabganj and Sreepur) using multistage systematic sampling. The semistructured questionnaire included sociodemographic characteristics, household assets and the Depression Anxiety Stress Scale-21 (DASS-21). The wealth index was calculated using principal component analysis. Cases with mild to extreme levels of depression, anxiety and stress were grouped together to indicate the presence of any level of the three mental health problems. Statistical analyses included descriptive statistics, bivariate analyses using ², Fisher’s exact test and Welch two-sample t-test, and multivariable binary logistic regression to identify predictive factors of mental problems. A Venn diagram was generated to display the proportion of patients with anxiety, depression and stress. Data analysis was performed using SPSS (V.26) and R Studio (V.2025.05) with a significance level of p
A total of 1350 women aged 18 years or older who were available at home during the data collection period and gave consent to participate. Women who were unable to participate due to illness were excluded.
Participants had a mean (±SD) age of 36.35 (±12.58) years. The prevalence of depression, anxiety and stress was 47.7%, 60.7% and 23.2%, respectively. Moderate severity was most common among patients with depression (20.34%), anxiety (24.20%) and stress (8.03%). 20% of participants experienced all three conditions simultaneously, with 22% having both depression and anxiety. Multivariable analysis revealed that factors associated with an increased odds of depression, anxiety and stress were chronic diseases (ORs (95% CIs): 2.02 (1.50 to 2.73), 1.44 (1.05 to 1.99) and 1.91 (1.35 to 2.71), respectively) and history of abuse (1.84 (1.28 to 2.66); 3.15 (2.06 to 4.93) and 1.91 (1.28 to 2.83), respectively). Family history of mental illness was associated with an increased odds of anxiety (1.71 (95% CI 1.12 to 2.87)) and stress (1.61 (95% CI 1.01 to 2.52)). So was the presence of a caregiving role (1.68 (95% CI 1.18 to 2.42) and 1.50 (95% CI 1.02 to 2.19) for anxiety and stress, respectively). Having a financial problem was associated with an increased odds of anxiety (1.52 (95% CI 1.16 to 2.00)). A happy family relationship was associated with decreased odds of depression (0.28 (95% CI 0.20 to 0.93)), anxiety (0.22 (95% CI 0.06 to 0.60)) and stress (0.50 (95% CI 0.25 to 1.00)). Conjugal satisfaction was protective against anxiety (0.42 (95% CI 0.18 to 0.80) and stress (0.32 (95% CI 0.17 to 0.59)). Unexpectedly, higher wealth status (being rich) increased depression (1.56 (95% CI 1.04 to 2.34) and anxiety (1.57 (95% CI 1.03 to 2.41) risk.
A major segment of rural adult women of Bangladesh experiences mental health problems. The findings recommend community-based comprehensive mental health screening programmes, interventions and integration of mental healthcare into primary health systems to address this critical public health challenge.
Climate change has led to extreme heat events, disproportionately affecting vulnerable populations. Heat stress during pregnancy is linked to adverse health outcomes, yet the biological mechanisms remain poorly understood. This research study aims to investigate the effect of environmental heat on maternal, fetal and infant health and examine the biological pathways linking heat stress to adverse pregnancy outcomes.
This prospective cohort study will recruit 6000 pregnant women from three districts in Sindh, Pakistan. Eligible participants ≥18 years old, will have a minimum of five scheduled visits from
The study has received ethical approval from the Aga Khan University (AKU) (Ref: 26249) and the Pakistan National Bioethics Committee (Ref: 1065/23/1736). Written informed consent will be obtained from all participants before enrolment. Referral pathways to healthcare facilities will be established to ensure timely management of pregnancy complications. Findings will be disseminated through peer-reviewed publications, scientific conferences, and engagement with policymakers and public health stakeholders to inform climate-resilient maternal health strategies. Results will also be shared with participants and communities through meetings and informal sessions to raise awareness and support evidence-based heat adaptation.
The study aimed to determine the prevalence and identify the associated factors of undernutrition among children under 5 years of age living in riverbank erosion areas in Bangladesh.
A community-based cross-sectional study.
The study was carried out in riverbank erosion-prone areas of the Tangail and Kushtia districts of Bangladesh, which were selected because they are highly vulnerable to riverbank erosion and related livelihood disruptions.
Participants were selected using a two-stage cluster sampling technique based on the criterion that mothers had at least one child under the age of 5 years.
Stunting, wasting and underweight were considered independently as outcome variables to assess nutritional status.
Descriptive analysis was performed to determine the prevalence of undernutrition, while the ² test and multivariable Poisson regression model were used to identify significantly associated factors with undernutrition among children under 5 years of age in riverbank erosion areas.
The average prevalence of stunting, wasting and underweight was 37.74%, 22.64% and 9.81%, respectively. Results from the Poisson regression model showed that children who were average or large in size at birth had a much lower prevalence of all forms of undernutrition compared with those born very small. Female children had a 30% lower prevalence of stunting compared with male children. In addition, having educated parents, receiving four or more antenatal care visits and household livestock ownership were each associated with a lower prevalence of undernutrition.
The prevalence of stunting in this study was higher than that reported in the most recent Bangladesh Demographic and Health Survey 2022. Child size at birth, sex, parental education, antenatal care visits and household livestock ownership were identified as significantly associated factors with undernutrition in riverbank erosion areas of Bangladesh.
Nutrition counselling is recommended after pancreatic cancer surgery given the complex nutritional problems patients experience. In practice, access and delivery of nutrition counselling after pancreatic surgery varies across settings. To address this gap, our study team developed the Support Through Remote Observation and Nutrition Guidance (STRONG) programme, an implementation strategy that addresses common barriers to nutrition care delivery in oncology.
The STRONG programme includes a standardised protocol to specify the timing and amount of nutrition counselling that should be delivered and patient-mediated implementation strategies including collection of patient-reported information, an educational brochure summarising common nutrition problems and recommended dietary strategies after pancreatic surgery and a question prompt list for the patient-dietitian encounter. A pilot randomised controlled trial will be conducted to assess the feasibility and acceptability of the STRONG programme compared with usual care in pancreatic cancer surgery patients after hospital discharge (n = 80). The trial is designed to be pragmatic and integrated into existing workflows and clinic teams. The primary goal will be to compare feasibility and acceptability outcomes against pre-planned benchmarks. Data will be collected from patients and caregivers and healthcare providers who assist with STRONG implementation. Secondary goals include collecting preliminary data on effectiveness and implementation outcomes that will support a future definitive hybrid implementation-effectiveness trial.
This study was approved by the Moffitt Cancer Center Institutional Review Board of Record, Advarra (Pro00071143). Participants will be required to provide written consent prior to enrolment. Study findings will be disseminated through plain language summaries, conference abstracts and peer-reviewed publications.
ClinicalTrials.gov NCT06001268. Registered on 21 August 2023, prior to participant enrolment.
Enteric fever, primarily caused by Salmonella enterica Typhi and Salmonella enterica Paratyphi A (SPA), is endemic mainly in South Asia, disproportionately affecting school-age children. Although typhoid conjugate vaccines (TCVs) are effective and implemented in many countries, no licensed vaccine exists against paratyphoid A. Bivalent vaccines targeting both S. Typhi and SPA may address this gap. Although field efficacy trials are not considered feasible, controlled human infection models (CHIMs) offer an alternative pathway for evaluating vaccine efficacy. This will be the first efficacy study of a bivalent vaccine against typhoid and paratyphoid A using a paratyphoid CHIM.
This is a phase II multicentre, double-blind, randomised controlled trial assessing the efficacy and immunogenicity of a bivalent conjugate vaccine candidate, Serum Institute of India Typhoid Conjugate Vaccine (Bivalent) (SII-TCV(B)), against SPA using a CHIM in healthy UK adults aged 18–55 years. A total of 192 participants will be randomised 1:1 to receive either SII-TCV(B) or a licensed Vi-polysaccharide typhoid vaccine (Vi-PS). All participants will be orally challenged with S. Paratyphi A (strain NVGH308) 28 days postvaccination. Participants will be monitored closely for 14 days and treated at 14 days postchallenge or promptly on diagnosis, according to prespecified criteria. The primary objective is to evaluate vaccine efficacy of SII-TCV(B) against paratyphoid infection using a CHIM. The coprimary immunogenicity objective is to assess non-inferiority of the typhoid IgG response compared with a licensed Vi-PS control.
The study has received ethical approval from the Berkshire Research Ethics Committee (24/SC/0309) and regulatory approval from the UK Medicines and Healthcare products Regulatory Agency. Results will be disseminated via peer-reviewed publications and scientific meetings.
by Afsana Anwar, Mahmood Parvez, Farhan Azim, Uday Narayan Yadav, Saruna Ghimire, Ateeb Ahmad Parray, Shovon Bhattacharjee, ARM Mehrab Ali, Rashidul Alam Mahumud, Md Irteja Islam, Md Nazmul Huda, Mohammad Enamul Hoque, Probal Kumar Mondal, Abu Ansar Md Rizwan, Suvasish Das Shuvo, Sabuj Kanti Mistry
BackgroundFrailty and disability often emerge with ageing and affect quality of life. Older adults residing in Rohingya refugee camp in Bangladesh are particularly susceptible to frailty and disability due to adverse physical and social environment along with limited health and social care services available in the camp. This study aimed to investigate the prevalence and factors associated with frailty and disability among Rohingya older adults living in Bangladesh.
MethodsThis cross-sectional study was conducted among older adults aged ≥60 years residing in the Rohingya refugee settlement in Bangladesh. The primary outcomes were frailty and disability, explored using the ‘Frail Non-Disabled (FiND) questionnaire. Data were collected face-to-face during November-December 2021, using a semi-structured questionnaire. A multinomial logistic regression model was used to identify the factors associated with frailty and disability.
ResultsThe majority of participants (n = 864) were aged 60–69 years (72.34%), male (56.25%), married (79.05%), and without formal education (89.0%). The study revealed a high prevalence of frailty (36.92%) and disability (55.21%) among the participants. The multinomial regression analysis showed that the likelihood of experiencing disability was significantly higher among participants who were aged 70–79 years (RRR = 2.65, 95% CI: 1.25, 5.66) and ≥80 years (RRR = 8.06, 95% CI: 1.05, 61.80), were female (RRR = 3.93, 95% CI: 1.88, 8.1.9), had no formal education (RRR = 4.34, 95% CI: 2.19, 8.63), were living in a large family (RRR = 1.82, 95% CI: 1.05, 3.18) and were suffering from non-communicable diseases (RRR = 2.36, 95% CI: 1.32, 4.22) compared to their respective counterparts. The regression analysis also revealed that frailty was significantly higher among participants who were female (RRR = 2.82, 95% CI: 1.34, 5.94), were suffering from non-communicable diseases (RRR = 2.28, 95% CI: 1.27, 4.09), and had feeling of loneliness (RRR = 2.16, 95% CI: 1.11, 4.22).
ConclusionsThe findings underscore the need for long-term care and health promotion activities to alleviate the burden of frailty and disability among older adults in humanitarian settings. Efforts should particularly target the most vulnerable groups- older individuals (≥80 years), women, those without formal education, those living in large families, and those with non-communicable diseases.
by Nilavro Das Kabya, MD Shaifullah Sharafat, Rahimul Islam Emu, Mehrab Karim Opee, Riasat Khan
Malabar spinach is a nutrient-dense leafy vegetable widely cultivated and consumed in Bangladesh. Its productivity is often compromised by Alternaria leaf spot and straw mite infestations. This work proposes an efficient and interpretable deep learning framework for automatic Malabar spinach leaf disease classification. A curated dataset of Malabar spinach images collected from Habiganj Agricultural University and supplemented with public samples was categorized into three classes: Alternaria, straw mite, and healthy leaves. A lightweight SpinachCNN established a strong baseline, while Spinach-ResSENet, enhanced with squeeze-and-excitation modules, improved channel-wise attention and feature discrimination. A customized Vision Transformer (SpinachViT) and SwinV2-Base were further investigated to assess the benefits of transformer-based architectures under limited data. To mitigate annotation scarcity, we employed SimSiam-based self-supervised pretraining on unlabeled images, followed by supervised fine-tuning with cross-entropy or a hybrid objective combining cross-entropy and supervised contrastive loss. The best-performing domain-optimized model, SimSiam-CBAM-ResNet-50, incorporated Convolutional Block Attention Modules and achieved 97.31% test accuracy, 0.9983 macro ROC-AUC, and low calibration error, while maintaining robustness to Gaussian and salt-and-pepper noise. Although a SwinV2-Base benchmark pretrained on ImageNet-22k reached slightly higher accuracy (97.98%, 98.99% with test-time augmentation), its 86.9M parameters and reliance on large-scale pretraining reduce feasibility for edge deployment. In contrast, the SimSiam-CBAM model offers a more parameter-efficient and deployment-friendly solution for real-world agricultural applications. Model decisions are interpretable via Grad-CAM, Grad-CAM++, and LayerCAM, which consistently highlight biologically relevant lesion regions. The spinach dataset used in this study is publicly available on: https://huggingface.co/datasets/saifullah03/malabar_spinach_leaf_disease_dataset.This study aims to identify factors associated with early antenatal care (ANC) initiation using a survival analysis approach applied to nationally representative data.
This study used a cross-sectional design based on data from the nationally representative 2022 Bangladesh Demographic and Health Survey. The survey was conducted at the community level across all administrative divisions of Bangladesh. A total of 5128 ever-married women aged 15–49 years who had a live birth within 5 years prior to the survey were included in the analysis. Women with missing or incomplete information regarding the timing of their first ANC visit were excluded from the study.
The primary outcome was early initiation of ANC, defined as the first ANC contact within the first trimester.
The study applied survival analysis methods, including Kaplan-Meier survival curves, log-rank tests and an Accelerated Failure Time model, to assess the determinants of early ANC initiation.
Only 37.9% (95% CI 36.0% to 39.9%) of women in Bangladesh initiated ANC within the first trimester. Early ANC initiation was associated with higher maternal age, education, skilled employment, wealthier households, media exposure, higher decision-making autonomy, higher husband’s education and urban residence. Women who reported that distance to a health facility was not a big problem had initiated ANC earlier than those who considered distance a major barrier. Regional disparities were also evident, with women from Barishal, Chattogram, Rajshahi, Khulna and Rangpur accessing ANC later than those in Dhaka.
Persistent inequalities in early ANC initiation highlight the need for targeted policies to reduce financial barriers, improve healthcare accessibility and strengthen awareness campaigns to ensure equitable maternal healthcare in Bangladesh.
This study aimed to determine the prevalence of cervical high-risk human papillomavirus (hrHPV) in a community-based setting and its risk factors association in women living in hard-to-reach areas in Bangladesh.
A cross-sectional study
The study was carried out in six subdistricts, located in hard-to-reach and climate-impacted regions of Bangladesh.
A total of 8000 married women aged 30–60 years were invited for screening. Women who were unable to give consent, were pregnant or had a hysterectomy with removal of the cervix, previous screening less than 5 years, or treatment of the cervix or had symptoms of potential cervical cancer were excluded.
A community-based hrHPV self-collected screening for cervical cancer was conducted from June 2022 to July 2023.
Prevalence of cervical hrHPV and risk factor association.
11 127 women were eligible for screening; 7850 women submitted hrHPV self-swabs, 7828 valid HPV test results were reported and 164 women (2.1%) tested hrHPV positive. Women living in the North were 2.1 times more likely to be hrHPV positive compared with women living in the South (adjusted OR (AOR)=2.1, 95% CI: 1.5 to 3.8, p=0.023) and widowed women were 3.0 times more likely to be hrHPV positive than married women (AOR=3.0, 95% CI: 1.7 to 5.3, p=0.001). Another risk factor associated with testing hrHPV positive was the use of hormonal contraceptives for 5 years and above (AOR=7.0, 95% CI: 2.0 to 24.4, p=0.002).
The study identified a low overall prevalence of hrHPV infection (2.1%) among women in hard-to-reach areas in Bangladesh, with some regional variations. Higher prevalence was observed in widowed compared with married women and among women reporting more than 5 years of hormonal contraceptive use. This study shows no evidence of particularly high-risk groups in hard-to-reach areas in Bangladesh. The findings support the feasibility of implementing a nationwide hr-HPV-based self-sampling strategy as a viable approach to reach WHO targets for reducing the burden of cervical cancer. Recommendation for policymakers to support future research to identify hrHPV prevalence among women in comparable groups in other geographically remote areas in Bangladesh.
We explored how key sociodemographic characteristics were associated with correct knowledge about antibiotics and antibiotic resistance (ABR) and appropriate usage of antibiotics from a One Health perspective among rural community members in Bangladesh.
Cross-sectional single-period survey.
Rural villages in Cumilla district, Bangladesh.
Eligibility criteria: aged ≥18. Across 50 clusters of villages, we approached 2160 community members and 2187 (98.8%) agreed to participate.
Primary outcomes: we collected two knowledge outcomes measuring the number of correctly answered binary/multiple-choice questions about (1) antibiotics and ABR and appropriate usage of antibiotics in relation to human illness and (2) antibiotics and ABR and appropriate usage of antibiotics in relation to animal health and the environment. Secondary outcomes: self-reported awareness of (1) antibiotics and (2) ABR.
Several sociodemographic characteristics were associated with variation in both knowledge outcomes. Education showed the strongest associations, with higher education levels associated with higher knowledge scores. For example, compared with having no formal/incomplete primary education, having higher education was associated with 10 percentage points (95% CI 8 to 12) and 6 percentage points (95% CI 3 to 8) higher mean knowledge scores for the knowledge outcomes 1 and 2, respectively. Having worked in the last month compared with not having worked was also weakly positively associated with both knowledge outcomes, and being female compared with being male was also weakly negatively associated with both knowledge outcomes.
Better public education is required to tackle ABR in Bangladesh but correct knowledge about antibiotics and ABR and appropriate usage of antibiotics in relation to humans, animals and the environment varies in relation to individuals’ education level, sex and working status. To maximise their effectiveness, interventions to tackle ABR must be flexible given recipients’ sociodemographic characteristics and pre-existing knowledge levels.
To investigate vaccination coverage for influenza and COVID-19 in the SARS-CoV-2 immunity and reinfection evaluation (SIREN) study cohort of healthcare workers (HCWs) between 2020 and 2023 and explore vaccination enablers and barriers.
A mixed-methods study nested within SIREN, a multicentre prospective cohort study of HCWs across the UK. Quantitative and qualitative methods were used sequentially, using an expansion/explanation function, enabling emergent themes observed from the quantitative stage to be explored in the qualitative stage.
SIREN sites include secondary care centres and community mental health trusts in the UK.
Quantitative analysis was conducted on data from 6048 participants. Participants were representative of the HCW workforce, with the majority being women (83%) and of white ethnicity (88%). Nurses made up the largest occupational group (33%). Qualitative analysis of data from 24 participants including five focus groups (n=21) and three semistructured interviews (n=3); 82% women, 26% minority ethnic, all working age from across the UK.
Quantitative: vaccine coverage for COVID-19 and influenza vaccines by demographic with multivariable logistical regression used to assess differences. Qualitative: thematic analysis to explore reasons behind the results seen in the quantitative stage.
COVID-19 vaccination was initially high; 97% received two doses and 94% a first booster. However, coverage was reduced to 77%, for the second booster. Influenza vaccination coverage was lowest in 2020–2021 (46%), increasing to 73% in 2021–2022 and to 79% in 2022–2023. In 2022–2023, vaccination coverage was higher for influenza than for COVID-19. High vaccine coverage for both COVID-19 and influenza was observed in doctors, pharmacists and therapists. Porters, healthcare assistants and staff from minority ethnic groups had lower vaccine coverage for both COVID-19 and influenza. Four themes were identified: (1) attitudes towards vaccination changed throughout the COVID-19 pandemic; (2) HCWs used data to inform vaccination decisions; (3) poor communication in healthcare settings contributed to a reduction in vaccination; (4) there were both positive and negative impacts of the COVID-19 vaccine on influenza vaccine uptake and other vaccination programmes.
Between 2020 and 2023 in our cohort, COVID-19 vaccination coverage decreased, whereas influenza increased. Our study found attitudes to both vaccines have shifted, becoming more favourable to influenza and less to COVID-19 boosters. Barriers to COVID-19 boosters, including concerns about side effects and vaccine effectiveness, need to be addressed with improved communication on the benefits and adverse events. Future vaccination strategies should address the differences we have identified in vaccine coverage across demographics and occupational groups, including continued efforts to improve vaccine equity.
Sleep problems are an escalating global health concern, with prevalence estimates ranging from 8.3% to 45%. Physicians are disproportionately affected, with rates around 44% compared with 36% in the general population. In Bangladesh, reported rates range from 32% to 58%, with physicians being particularly vulnerable. Poor sleep among physicians is strongly linked to burnout, medical errors and increased mental health risks. Despite these serious implications, existing evidence from Bangladesh remains fragmented and inconsistent, limiting its utility for health policy and workforce interventions. This review therefore seeks to generate reliable pooled prevalence estimates and identify key determinants of sleep problems among Bangladeshi physicians.
The research team will search the PubMed, Scopus, Web of Science, EMBASE, PsycInfo, ProQuest Medical, CINAHL, Google Scholar and BanglaJOL electronic and regional databases following Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols guidelines for published studies from inception until 1 August 2025, using truncated and phrase-searched keywords, relevant medical subject headings and citation chaining from grey literature. Observational cross-sectional studies published within the predefined timeframe, using validated assessment tools, and published in English or other major international languages will be prioritised for inclusion. Review papers, case reports, case series, intervention studies, commentaries, preprints, meeting abstracts, protocols, unpublished articles and letters will be excluded. Two independent reviewers will screen the retrieved papers using the Rayyan web-based application, with any disagreements resolved by a third reviewer. Quantitative estimates of sleep problems, including prevalence, duration, quality and associated risk factors among Bangladeshi physicians will be extracted. A narrative synthesis and meta-analysis will be performed to assess the pooled prevalence using a random effects meta-analysis model. Forest and funnel plots will be generated for visualisation. Heterogeneity will be assessed using the I2 statistic, with sensitivity or subgroup analysis conducted as required. The quality of included studies will be evaluated using Joanna Briggs Institute critical appraisal tools for observational study designs. All statistical analysis will be conducted using Jamovi V2.7.6, R V4.3.2 ‘meta’ packages and GraphPad Prism V9.0.2.
This review will synthesise evidence from existing published literature. While completing the findings, the findings will be submitted to an international peer-reviewed journal and disseminated through conferences, policy forums and stakeholders’ networks to inform future research and interventions.
CRD420251123294.
Depression, anxiety and stress are major contributors to the global burden of diseases. The ageing population faces an escalating burden of these conditions, and half of the cases are largely undiagnosed. Yet a paucity of epidemiological data limits understanding the full scope of the disease burden among older adults. This protocol outlines a systematic review to estimate the prevalence and incidence of anxiety, depression and stress among older people (60 years and above) and to identify contributing factors across South-East Asian countries.
A study protocol for a systematic review and meta-analysis has been registered in PROSPERO. The research team will systematically search, appraise and synthesise observational studies following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Comprehensive searches will be conducted from inception to May 2025 across PubMed (NCBI), MEDLINE (Ovid), Web of Science, Cochrane Library, Scopus (Elsevier) and PsycINFO (APA), supplemented by grey literature from government reports, the WHO Library and Google Scholar. Two investigators will independently screen titles and abstracts, review full-text articles published in the English language and extract data, with discrepancies resolved by a third reviewer. Methodological quality and risk of bias of the included studies will be assessed using standardised tools. Primary outcomes are the prevalence and incidence of depression, anxiety and stress. Secondary outcomes include variations in the prevalence and incidence of these conditions based on sociodemographic factors, as well as associated risk factors that differ across regional contexts. Data will be pooled via meta-analysis where feasible or narratively synthesised if heterogeneity precludes quantitative synthesis. The systematic review will provide a comprehensive understanding of the burden of anxiety, depression and stress among older people in South-East Asia. This novel evidence will guide policymakers and healthcare practitioners in developing targeted interventions and generating essential evidence for supporting policy development in the region.
Ethical approval will not be required as this study will not involve collection of original data. The findings will be disseminated through publications in a peer-reviewed journal and presentations at scientific conferences.
CRD42024609033.
This study aims to analyse the crowding-out and crowding-in effects of non-communicable diseases (NCDs) related out-of-pocket (OOP) health expenditures on household consumption in Bangladesh.
This study used data from the nationally representative Bangladesh household income and expenditure survey (HIES) 2022.
Eight divisions of Bangladesh.
14 395 households.
We examined how household consumption patterns across 20 expenditure categories were impacted by OOP health spending for NCD management, with a focus on income-level disparities.
In Bangladesh, OOP health expenditures for NCDs crowded out household expenditures on essential items like food and rent. Across all households, OOP health expenditures for NCDs by 10 US$ crowded out –3.8 US$ of expenditure on food (95% CI –5.1 to –2.5), and more specifically on protein-rich foods (–2.0 US$, 95% CI –2.8 to –1.2), spices (–0.2 US$, 95% CI –0.3 to –0.1), and restaurant and café meals (–0.9 US$, 95% CI –1.4 to –0.5). Crowding-out was also seen for tobacco, rent, durable goods and miscellaneous. In lower-income households, expenditures on food (–4.1 US$, 95% CI –7.2 to –1.1), restaurant and café meals (–2.0 US$, 95% CI –3.1 to –0.8), spices (–0.4 US$, 95% CI –0.7 to –0.09), and rent (–3.1 US$, 95% CI –4.5 to –1.6) were significantly crowded out.
This research demonstrates that NCD-related spending in Bangladesh reduces budgets for both food and non-food expenditures, with a stronger crowding-out effect on food items and rent, particularly in lower-income households. Effective financial and social protection mechanisms against NCDs are warranted to safeguard the consumption of the NCD-affected households in Bangladesh.
In critical care, intensive care unit (ICU) staff and physicians often estimate patients' height and weight visually, impacting calculations for cardiac function, ventilation, medication, nutrition and renal function. However, accurate assessment is challenging in critically ill patients. This study evaluates the accuracy of visual estimations by ICU staff.
Descriptive cross-sectional study.
National Institute of Cardiovascular Diseases, Karachi, Pakistan.
We included a convenient sample of adult (≥18 years) cardiac patients admitted to the critical care unit in this study. Patients who refused to give consent, trauma/surgery of lower limbs or patients with below-knee or above-knee amputation were excluded to avoid bias.
A convenient sample of cardiac ICU patients was included. Measured weight (kg) and height (cm) were compared with visual estimations by senior ICU nurse, senior non-ICU nurse, ICU consultants, fellows and residents. Correlation and agreement were analysed using Bland–Altman plots and 95% agreement limits.
A total of 356 patients were evaluated, of whom 204 (57.3%) were male, with a mean age of 55.2 ± 14.3 years. The median SOFA score was 3 [2–5], and 101 patients (28.4%) were on mechanical ventilation. The mean difference between measured and estimated weight by senior non-ICU nurse was 4.7±9.2 [–13.38–22.83] kg, senior ICU nurse was 7.8±9.9 [–11.56–27.12] kg, ICU consultants was 3.0±6.6 [–9.89–15.79] kg, ICU fellow was 3.0±7.1 [–10.88–16.92] kg and ICU resident was 8.0±9.6 [–10.83–26.79] kg. Similarly, the mean difference between measured and estimated height by senior non-ICU nurse was 2.0±7.3 [-12.36–16.34] cm, senior ICU nurse was 2.4±7.5 [–12.19–17.00] cm, ICU consultants was 1.5±5.6 [–9.51–12.48] cm, ICU fellow was 1.1±5.5 [–9.68–11.95] cm and ICU resident was 2.3±8.5 [–14.40–19.01] cm.
The findings indicate that healthcare professionals tend to overestimate both weight and height. The accuracy of these estimations varied among professional groups, underscoring the potential clinical consequences of such errors. This emphasises the need for objective measurements in clinical decision-making.