Microplastics from face mask impairs sperm motility.

The COVID-19 pandemic has resulted in unprecedented plastic pollution from single-used personal protective equipment (PPE), especially face masks, in coastal and marine environments. The secondary pollutants, microplastics from face masks (mask MP), rise concern about their detrimental effects on marine organisms, terrestrial organisms and even human. Using a mouse model, oral exposure to mask MP at two doses, 0.1 and 1 mg MP/day for 21 days, caused no change in animal locomotion, total weight, or sperm counts, but caused damage to sperm motility with increased curvilinear velocity (VCL). The high-dose mask MP exposure caused a significant decrease in linearity (LIN) of sperm motility. Further testicular transcriptomic analysis revealed perturbed pathways related to spermatogenesis, oxidative stress, inflammation, metabolism and energy production. Collectively, our findings substantiate that microplastics from face masks yield adverse effects on mammalian reproductive capacity, highlighting the need for improved plastic waste management and development of environmentally friendly materials.

Determinants of low birth weight and its effect on childhood health and nutritional outcomes in Bangladesh.

BACKGROUND: The high incidence of low birth weight (LBW) is associated with an increased risk of infant mortality, adverse pregnancy outcomes for mothers, and a decline in overall health and well-being. The current study aimed to identify the various determinants of LBW and its effect on adverse health and nutritional outcomes of children aged 0-23 months in Bangladesh. METHODS: Bangladesh Demography and Health Survey (BDHS) 2017-18 data was used. A chi-square test and multivariable logistic regression analysis were used to find out the associations between independent variables and outcomes (e.g., LBW, child illness and undernutrition). RESULTS: The overall prevalence of LBW among was 16.3%. Mother with no formal education (AOR = 2.64, 95% CI = 0.55-3.30, p = 0.01), female child (AOR = 1.31, 95% CI = 1.04-1.65, p = 0.023); and poorest economic status (AOR = 1.69, 95% CI = 1.13-2.51, p = 0.010), were identified significant determinants of LBW. Of home environment and hygiene factors, unimproved toilet facilities (AOR = 1.38, 95% CI = 1.03-1.84, p = 0.030) had a significant effect on LBW. In addition, children born with LBW were more likely to suffer fever (AOR = 1.26, 95% CI = 1.05-1.60, p = 0.050), stunting (AOR = 2.42, 95% CI = 1.86-3.15, p = < 0.001), wasting (AOR = 1.47, 95% CI = 1.02-2.25 p = 0.049), and underweight (AOR = 3.19, 95% CI = 2.40-4.23, p = < 0.001). CONCLUSION: One out of five children was LBW in Bangladesh. Maternal education, sex of child, wealth index, and toilet facilities had significant effects on LBW. In addition, LWB contributed to children's poor health and nutritional outcomes. Enhancing maternal pregnancy, and child health outcomes necessitates policies addressing poverty, gender inequality, and social disparities. Key strategies include promoting regular prenatal care, early medical intervention, reproductive health education, and safe hygiene practices. To combat the negative impacts of LBW, a comprehensive strategy is vital, encompassing exclusive breastfeeding, nutritional support, growth monitoring, accessible healthcare, and caregiver education.

Exploring type 2 diabetes self-management practices in rural Bangladesh: facilitators, barriers and expectations-a qualitative study protocol.

BACKGROUND: Type 2 diabetes mellitus (T2DM) is a global public health crisis impacting low-income and middle-income countries such as Bangladesh. While self-management is encouraged for individuals with T2DM, there is a significant lack of knowledge regarding the factors of facilitators, barriers and expectations associated with T2DM self-management in Bangladesh. This research aims to investigate the potential elements that support, impede and are anticipated in the effective practice of self-management for T2DM in rural areas of Bangladesh. METHODS AND ANALYSIS: This study will use an exploratory qualitative approach. 16 focus group discussions, 13 in-depth interviews and 9 key informant interviews will be conducted among multilevel stakeholders, including people with T2DM, their caregivers, healthcare providers, health managers/administrators and policy planners. Interviews will be audio-recorded, transcribed, translated and analysed using thematic analysis. ETHICS AND DISSEMINATION: This research project has been approved by the Monash University Human Research Ethics Committee (project reference number: 39483) and the Ethical Review Committee of the Centre for Injury Prevention and Research, Bangladesh (Memo: CIPRB/ERC/2023/14). Research findings will be disseminated in peer-reviewed journals and conference presentations. Published reports will include group data. Individual data privacy will be strictly maintained.

Size-dependent Deleterious Effects of Nano- and Microplastics on Sperm Motility.

INTRODUCTION: Growing concerns regarding the reproductive toxicity associated with daily life exposure to micro-/nano-plastics (abbreviated as MNPs) have become increasingly prevalent. In reality, MNPs exposure involves a heterogeneous mixture of MNPs of different sizes rather than a single size. METHODS: In this study, an oral exposure mouse model was used to evaluate the effects of MNPs of four size ranges: 25-30nm, 1-5µm, 20-27µm, and 125-150µm. Adult male C57BL/6J mice were administered environmentally relevant concentrations of 0.1mg MNPs/day for 21 days. After that, open field test and computer assisted sperm assessment (CASA) were conducted. Immunohistochemical analyses of organ and cell type localization of MNPs were evaluated. Testicular transcriptome analysis was carried out to understand the molecular mechanisms. RESULTS: Our result showed that MNPs of different size ranges all impaired sperm motility, with a decrease in progressive sperm motility, linearity and straight-line velocity of sperm movement. Alterations did not manifest in animal locomotion, body weight, or sperm count. Noteworthy effects were most pronounced in the smaller MNPs size ranges (25-30nm and 1-5µm). Linear regression analysis substantiated a negative correlation between the size of MNPs and sperm curvilinear activity. Immunohistochemical analysis unveiled the intrusions of 1-5µm MNPs, but not 20-27µm and 125-150µm MNPs, into Leydig cells and testicular macrophages. Further testicular transcriptomic analysis revealed perturbations in pathways related to spermatogenesis, oxidative stress, and inflammation. Particularly within the 1-5µm MNPs group, a heightened perturbation in pathways linked to spermatogenesis and oxidative stress was observed. CONCLUSIONS: Our data support the size-dependent impairment of MNPs on sperm functionality, underscoring the pressing need for apprehensions about and interventions against the escalation of environmental micro-/nano-plastics contamination. This urgency is especially pertinent to small-sized MNPs.

Preoperative Variables of 30-Day Mortality in Adults Undergoing Percutaneous Coronary Intervention: A Systematic Review.

BACKGROUND AND AIM: Risk adjustment following percutaneous coronary intervention (PCI) is vital for clinical quality registries, performance monitoring, and clinical decision-making. There remains significant variation in the accuracy and nature of risk adjustment models utilised in international PCI registries/databases. Therefore, the current systematic review aims to summarise preoperative variables associated with 30-day mortality among patients undergoing PCI, and the other methodologies used in risk adjustments. METHOD: The MEDLINE, EMBASE, CINAHL, and Web of Science databases until October 2022 without any language restriction were systematically searched to identify preoperative independent variables related to 30-day mortality following PCI. Information was systematically summarised in a descriptive manner following the Checklist for critical Appraisal and data extraction for systematic Reviews of prediction Modelling Studies checklist. The quality and risk of bias of all included articles were assessed using the Prediction Model Risk Of Bias Assessment Tool. Two independent investigators took part in screening and quality assessment. RESULTS: The search yielded 2,941 studies, of which 42 articles were included in the final assessment. Logistic regression, Cox-proportional hazard model, and machine learning were utilised by 27 (64.3%), 14 (33.3%), and one (2.4%) article, respectively. A total of 74 independent preoperative variables were identified that were significantly associated with 30-day mortality following PCI. Variables that repeatedly used in various models were, but not limited to, age (n=36, 85.7%), renal disease (n=29, 69.0%), diabetes mellitus (n=17, 40.5%), cardiogenic shock (n=14, 33.3%), gender (n=14, 33.3%), ejection fraction (n=13, 30.9%), acute coronary syndrome (n=12, 28.6%), and heart failure (n=10, 23.8%). Nine (9; 21.4%) studies used missing values imputation, and 15 (35.7%) articles reported the model's performance (discrimination) with values ranging from 0.501 (95% confidence interval [CI] 0.472-0.530) to 0.928 (95% CI 0.900-0.956), and four studies (9.5%) validated the model on external/out-of-sample data. CONCLUSIONS: Risk adjustment models need further improvement in their quality through the inclusion of a parsimonious set of clinically relevant variables, appropriately handling missing values and model validation, and utilising machine learning methods.

The effectiveness of diabetes self-management education intervention on glycaemic control and cardiometabolic risk in adults with type 2 diabetes in low- and middle-income countries: A systematic review and meta-analysis.

Diabetes mellitus (DM) poses a significant challenge to public health. Effective diabetes self-management education (DSME) interventions may play a pivotal role in the care of people with type 2 diabetes mellitus (T2DM) in low- and middle-income countries (LMICs). A specific up-to-date systematic review is needed to assess the effect of DSME interventions on glycaemic control, cardiometabolic risk, self-management behaviours, and psychosocial well-being among T2DM across LMICs. The MEDLINE, Embase, CINAHL, Global Health, and Cochrane databases were searched on 02 August 2022 and then updated on 10 November 2023 for published randomised controlled trials (RCTs) and quasi-experimental studies. The quality of the studies was assessed, and a random-effect model was used to estimate the pooled effect of diabetes DSME intervention. Heterogeneity (I2) was tested, and subgroup analyses were performed. Egger's regression test and funnel plots were used to examine publication bias. The risk of bias of the included studies was assessed using the Cochrane risk-of-bias tool for randomized trial (RoB 2). The overall assessment of the evidence was evaluated using the Grading of Recommendations Assessment, Development, and Evaluation approach. A total of 5893 articles were retrieved, and 44 studies (n = 11838) from 21 LMICs met the inclusion criteria. Compared with standard care, pooled analysis showed that DSME effectively reduced the HbA1c level by 0.64% (95% CI: 0.45% to 0.83%) and 1.27% (95% CI: -0.63% to 3.17%) for RCTs and quasi-experimental design studies, respectively. Further, the findings showed an improvement in cardiometabolic risk reduction, diabetes self-management behaviours, and psychosocial well-being. This review suggests that ongoing support alongside individualised face-to-face intervention delivery is favourable for improving overall T2DM management in LMICs, with a special emphasis on countries in the lowest income group.

Prevalence and Determinants of Diarrhea, Fever, and Coexistence of Diarrhea and Fever in Children Under-Five in Bangladesh.

Diarrhea and fever are prevalent childhood illnesses with potentially severe consequences, especially when they co-occur. This study investigates the prevalence and determinants of diarrhea, fever, and their coexistence among children under-five in Bangladesh. Data from the 2017-2018 Bangladesh Demography and Health Survey (BDHS) were analyzed using multivariable stepwise logistic regression with backward selection. This study found that 5.0% for diarrhea, 34.0% for fever, and 3.0% for the coexistence of both illnesses. Common factors associated with childhood diarrhea and fever included the child's age (12-23 months), and the mother's education. Diarrhea was associated with households with improved water sources and children in the Barisal division, while fever was linked to underweight children and those from more affluent backgrounds. The coexistence of both was significantly linked to underweight children, higher birth orders, and children from the Rajshahi division. Notably, child illnesses were associated with parental education, higher socio-economic status, and access to improved drinking water sources. Diarrhea affects one in 20 children, fever affects one in three, and the coexistence of both conditions affects one in 35 children in Bangladesh. The findings need further research and policy reviews to develop effective interventions and improve child health in Bangladesh.

Prevalence and factors associated with severe undernutrition among under-5 children in Bangladesh, Pakistan, and Nepal: a comparative study using multilevel analysis.

Despite economic growth and poverty reduction, under-5 child undernutrition is still rampant in South Asian countries. This study explored the prevalence and risk factors of severe undernutrition among under-5 children in Bangladesh, Pakistan, and Nepal for comparison using the Composite Index of Severe Anthropometric Failure. We utilised information on under-5 children from recent Demographic Health Surveys. We used multilevel logistic regression models for data analysis. The prevalence of severe undernutrition among under-5 children was around 11.5%, 19.8%, and 12.6% in Bangladesh, Pakistan, and Nepal, respectively. Children from the lowest socioeconomic quintile, and children born with low birth weight were key factors associated with severe undernutrition in these countries. The factors, parental education, maternal nutritional status, antenatal and postnatal care, and birth order were not homogeneous in explaining the determinants of child severe undernutrition across the countries. Our results suggest that the poorest households, and low birth weight of children have significant effects on severe undernutrition among under-5 children in these countries, which should be considered to formulate an evidence-based strategy to reduce severe undernutrition in South Asia.

Challenges and Strategies in Conducting Population Health Research during the COVID-19 Pandemic: Experience from a Nationwide Mixed-Methods Study in Bangladesh.

Introduction: Globally, the coronavirus (COVID-19) pandemic poses fundamental challenges in everyday life. Various controlling measures, including nationwide lockdowns, movement restrictions, travel bans, social distancing, and improved hygiene practices, have been widely introduced to curtail transmission of the disease. Notably, these measures have affected the execution of population health research that typically involves face-to-face data collection. This paper details a subjective reflective account of the challenges and mitigating strategies in conducting a nationwide study during the COVID-19 pandemic in 2021. Challenges and strategies: The research team faced a wide range of challenges in conducting this study. The major categories of challenges were defined as follows: (i) challenges relating to the COVID-19 pandemic, such as insufficient access to field sites; (ii) challenges related to contextual factors, such as cultural and gender sensitivity and extreme weather events; and (iii) challenges related to data quality and validity. The key mitigating strategies to overcoming these challenges included engaging a local-level field supervisor, hiring data collectors from respective study sites, incorporating team members' reviews of literature and experts' views to develop research instruments, modifying original research instruments, organizing regular meetings and debriefing, adjusting field operation plans, building gender-sensitive teams, understanding local norms and adopting culturally appropriate dress codes, and conducting interviews in local languages. Conclusions: This paper concludes that despite several COVID-19-related challenges coupled with contextual factors, data were successfully collected through timely and successful adaptations of several mitigating strategies. The strategies adopted in this study may be useful for overcoming unforeseeable challenges in planning and conducting future population-based health research in similar circumstances elsewhere.

The capacity of primary healthcare facilities in Bangladesh to prevent and control non-communicable diseases.

BACKGROUND: The rapid rise of non-communicable diseases (NCDs) has become a significant public health concern in Bangladesh. This study assesses the readiness of primary healthcare facilities to manage the following NCDs: diabetes mellitus (DM), cervical cancer, chronic respiratory diseases (CRIs), and cardiovascular diseases (CVDs). METHODS: A cross-sectional survey was conducted between May 2021 and October 2021 among 126 public and private primary healthcare facilities (nine Upazila health complexes (UHCs), 36 union-level facilities (ULFs), 53 community clinics (CCs), and 28 private hospitals/clinics). The NCD-specific service readiness was assessed using the World Health Organization's (WHO) Service Availability and Readiness Assessment (SARA) reference manual. The facilities' readiness was assessed using the following four domains: guidelines and staff, basic equipment, diagnostic facility, and essential medicine. The mean readiness index (RI) score for each domain was calculated. Facilities with RI scores of above 70% were considered 'ready' to manage NCDs. RESULTS: The general services availability ranged between 47% for CCs and 83% for UHCs and the guidelines and staff accessibility were the highest for DM in the UHCs (72%); however, cervical cancer services were unavailable in the ULFs and CCs. The availability of basic equipment was the highest for cervical cancer (100%) in the UHCs and the lowest for DM (24%) in the ULFs. The essential medicine for CRI was 100% in both UHCs and ULFs compared to 25% in private facilities. The diagnostic capacity for CVD and essential medicine for cervical cancer was unavailable at all levels of public and private healthcare facilities. The overall mean RI for each of the four NCDs was below the cut-off value of 70%, with the highest (65%) for CRI in UHCs but unavailable for cervical cancer in CCs. CONCLUSION: All levels of primary healthcare facilities are currently not ready to manage NCDs. The notable deficits were the shortage of trained staff and guidelines, diagnostic facilities, and essential medicine. This study recommends increasing service availability to address the rising burden of NCDs at primary healthcare levels in Bangladesh.

Knowledge, attitudes and practices of COVID-19 in rural Bangladesh: a cross-sectional study.

OBJECTIVES: Understanding the knowledge, attitudes and practices (KAP) of COVID-19 within distinct populations may aid further public health messaging. This study's aims were to explore KAP towards COVID-19 in rural Bangladesh and identify any potential links to sociodemographics, existing clinical conditions and sources of information. DESIGN: Cross-sectional community-based study. SETTING: Participants were recruited from 18 villages using multistage cluster random sampling. METHODS: Data were collected through face-to-face interviews, from June to November 2021, using a structured questionnaire. Data included sociodemographics, clinical conditions, sources of information and KAP of COVID-19 questions. Χ2 test, multiple logistic regression and correlation analyses were performed. RESULTS: A total of 1603 participants were included with mean ages of 42.3±14.2 years, ranging from 18 to 60 years. Of these, 51% were male, 42.2% had secondary education and 45% had comorbidities. Television was the main source of COVID-19 information (55.8%). The overall correct response rate of KAP questions was 90%, 78% and 59%, respectively. In stepwise multiple logistic regression, good knowledge was associated with higher education (adjusted OR (AOR): 4.61, 95% CI: 2.40 to 8.85, p<0.001), employment, high body mass index (overweight and obese) and trust in the sources of information. Being female (AOR: 1.48, 95% CI: 1.19 to 1.85, p<0.001), having depression (AOR: 1.80, 95% CI: 1.34 to 2.43, p<0.001), being a past smoker and sources of information (family members/friends/relatives/neighbours) were associated with positive attitudes. Good practices were associated with older age (AOR: 1.52, 95% CI: 1.10 to 2.11, p=0.01), higher education (AOR: 2.78, 95% CI: 1.58 to 4.89, p<0.001) and having anxiety, while current smokers and fully vaccinated people were less likely to be engaged in good practices. Positive significant correlations between domains of KAP were observed as well as between past vaccination KAP and COVID-19 KAP. CONCLUSION: This study uncovered gaps in understanding and practices, and identified targeted intervention especially for young and less educated people using mass media to promote updated knowledge regarding COVID-19 and the efficacy of preventive practices.

Preference and willingness to receive non-communicable disease services from primary healthcare facilities in Bangladesh: A qualitative study.

BACKGROUND: In Bangladesh, non-communicable diseases (NCDs) are increasing rapidly and account for approximately 68% of mortality and 64% of disease burden. NCD services have been significantly mobilized to primary healthcare (PHC) facilities to better manage the rising burden of NCDs. However, little is known about community members' preference and willingness to receive NCD services from PHC facilities; therefore, this particular subject is the focus of this study. METHODS: A qualitative study was conducted from May 2021 to October 2021. Data were collected via 16 focus group discussions involving community members and 14 key informant interviews with healthcare professionals, facility managers, and public health practitioners. Based on a social-ecological model (SEM), data were analyzed thematically. The triangulation of methods and participants was conducted to validate the information provided. RESULTS: Preference and willingness to receive NCD services from PHC facilities were influenced by a range of individual, interpersonal, societal, and organizational factors that were interconnected and influenced each other. Knowledge and the perceived need for NCD care, misperception, self-management, interpersonal, and family-level factors played important roles in using PHC facilities. Community and societal factors (i.e., the availability of alternative and complementary services, traditional practices, social norms) and organizational and health system factors (i.e., a shortage of medicines, diagnostic capacity, untrained human resources, and poor quality of care) also emerged as key aspects that influenced preference and willingness to receive NCD services from PHC facilities. CONCLUSION: Despite their substantial potential, PHC facilities may not take full advantage of managing NCDs. All four factors need to be considered when developing NCD service interventions in the primary healthcare system to better address the rising burden of NCDs.

Evaluation of COVID-19 vaccine acceptance and uptake in rural Bangladesh: a cross-sectional study.

OBJECTIVE: The objective of this study was to evaluate the acceptance and uptake of COVID-19 vaccines in rural Bangladesh. DESIGN: This was a cross-sectional study conducted between June and November 2021. SETTING: This study was conducted in rural Bangladesh. PARTICIPANTS: People older than 18 years of age, not pregnant and no history of surgery for the last 3 months were eligible to participate. PRIMARY AND SECONDARY OUTCOMES: The primary outcomes were proportions of COVID-19 vaccine acceptance and roll-out participation among the rural population. The secondary outcome was identification of correlates which contributed to COVID-19 vaccine acceptance and roll-out participation. Χ2 tests and multivariable logistic regression analyses were performed to identify relevant correlates such as sociodemographic factors, clinical conditions and COVID-19-related factors. RESULTS: A total of 1603 participants were enrolled. The overall COVID-19 vaccine acceptance was very high (1521/1601, 95%), and half of the participants received at least one dose of the COVID-19 vaccine. Majority of participants wanted to keep others safe (89%) and agreed to the benefits of COVID-19 vaccines (88%). To fulfil the requirement of online registration for the vaccine at the time, 62% of participants had to visit an internet café and only 31% downloaded the app. Over half (54%) of participants were unaware of countries they knew and trust to produce the COVID-19 vaccine. Increased age, being housewives, underweight and undergraduate education level were associated with vaccine acceptance, while being female, increased age and being overweight/obese were associated with vaccine uptake. Trust in the health department and practical knowledge regarding COVID-19 vaccines were positively associated with both vaccine acceptance and uptake. CONCLUSION: This study found a very high COVID-19 vaccine acceptance in rural Bangladesh. Policymakers should support interventions aimed at increasing vaccine and general health literacy and ensure ongoing vaccine supply and improvement of infrastructure in rural areas.

Health system challenges and opportunities in organizing non-communicable diseases services delivery at primary healthcare level in Bangladesh: A qualitative study.

Introduction: The weak health system is viewed as a major systematic obstacle to address the rising burden of non-communicable diseases (NCDs) in resource-poor settings. There is little information about the health system challenges and opportunities in organizing NCD services. This study examined the health system challenges and opportunities in organizing NCD services for four major NCDs (cervical cancer, diabetes mellitus, cardiovascular diseases, and chronic respiratory illnesses) at the primary healthcare (PHC) level in Bangladesh. Methods: Using a qualitative method, data were collected from May to October 2021 by conducting 15 in-depth interviews with local healthcare providers, 14 key informant interviews with facility-based providers and managers, and 16 focus group discussions with community members. Based on a health system dynamics framework, data were analyzed thematically. Information gathered through the methods and sources was triangulated to validate the data. Results: Organization of NCD services at the PHC level was influenced by a wide range of health system factors, including the lack of using standard treatment guidelines and protocols, under-regulated informal and profit-based private healthcare sectors, poor health information system and record-keeping, and poor coordination across healthcare providers and platforms. Furthermore, the lack of functional referral services; inadequate medicine, diagnostic facilities, and logistics supply; and a large number of untrained human resources emerged as key weaknesses that affected the organization of NCD services. The availability of NCD-related policy documents, the vast network of healthcare infrastructure and frontline staff, and increased demand for NCD services were identified as the major opportunities. Conclusion: Despite the substantial potential, the health system challenge impeded the organization of NCD services delivery at the PHC level. This weakness needs be to addressed to organize quality NCD services to better respond to the rising burden of NCDs at the PHC level.

Machine learning methods for predicting major types of rheumatic heart diseases in children of Southern Punjab, Pakistan.

Objective: Rheumatic heart disease (RHD) is a major health problem in the world, particularly in developing countries. This study aimed to predict mitral regurgitation (MR) and mitral stenosis (MS) RHD among children with RHD. Methodology: Data was collected from the Pediatric Cardiology Department at Chaudhry Pervaiz Elahi Institute of Cardiology Multan, Pakistan from March to October 2019. A sample of 561 children aged 4-14 years, who were diagnosed with RHD of either MR or MS, were recruited from the hospital's outpatient department. The presence of multivariate outliers was detected, and different machine learning methods, including subset logistic regression, subset logistic regression after deletion, stepwise winsorized logistic regression, robust logistic regression, subset deep neural network, and random forest models were compared using the area under receiver operating characteristics (ROC) curve, sensitivity, and specificity. Parsimony was also considered in model selection. Results: Out of 561 patients in this study, 75.94% had RHD MR and 24.06% had RHD MS. The average age of study participants was 9.19 ± 2.45 years and of them 55.43% were male. Among the male participants, 58.6 and 45.2% had MR and MS, respectively; and among female participants, those were 70.4 and 29.6%, respectively. Subset logistic regression after deletion appeared as competitive with a discrimination power of 90.1% [95% CI 0.818-0.983]. The sensitivity and specificity of this model were 85.1 and 70.6%. Conclusion: The best predictive model was subset logistic regression after deletion. The predicted method will be used in the decision-making process, which helps early diagnosis of the disease and leads to prevention. The study findings provide the proper guideline for earlier diagnosis of the RHD MR and MS cases among children with RHD in Pakistan.

Prevalence and correlates of severe under-5 child anthropometric failure measured by the composite index of severe anthropometric failure in Bangladesh.

Background: Although Bangladesh has made noticeable progress in reducing the prevalence of stunting, wasting, and being underweight among under-5 children, it has not been very successful in reducing overall severe anthropometric failure (SAF) among them. Therefore, the study aims to identify the prevalence and risk factors of SAF measured by the Composite Index of Severe Anthropometric Failure (CISAF) among under-5 children in Bangladesh. Methods: Data was drawn from a cross-sectional Bangladesh Demographic Health Survey (BDHS) conducted in 2017-2018. A bivariate analysis (Chi-square test) and logistic regression analysis were used to estimate the unadjusted, and age and sex-adjusted prevalence of SAF. Odds ratio (OR) and confidence interval (CI) were assessed using logistic regression analysis to identify the various risk factor of SAF. Results: The overall adjusted prevalence of under-5 child SAF was 11.3% (95% CI: 10.6-12.0) and it was highly prevalent among children of uneducated mothers (adjusted, 22%, 95% CI: 17.3-26.8). The key factors associated with SAF were children in the age group 24-35 months (OR: 2.43, 95% CI: 1.83-3.23), children born with low birth weight (OR: 3.14, 95% CI: 2.24-4.97), children of underweight mothers (OR: 1.82, 95% CI: 1.44-2.29), children of parents with no formal education (OR: 2.28, 95% CI: 1.56-3.31) and children from lower socio-economic status (OR: 2.25, 95% CI: 1.55-3.26). Conclusion: Prioritizing and ensuring context-specific interventions addressing individual, community, public policy, and environment level risk factors from policy level to implementation to reduce structural and intermediary determinants of under-5 SAF.

COVID-19 vaccine hesitancy among pregnant women: a systematic review and meta-analysis.

OBJECTIVE: The aim of this study was to perform a systematic review and meta-analysis to estimate the vaccines' acceptance level and to find the factors influencing pregnant women's vaccination decisions, with the goal of assisting in the development of interventions and promoting more research in this area. DESIGN: Systematic review and meta-analysis. DATA SOURCES: MEDLINE, Embase, CINAHL and PubMed. ELIGIBILITY CRITERIA: Studies providing any kind of quantitative assessment of overall COVID-19 vaccination acceptance among pregnant women in any country or region across the globe. DATA EXTRACTION AND SYNTHESIS: The pooled prevalence of COVID-19 vaccine acceptance among pregnant women was calculated using the random-effects model. Subgroup (sensitivity) analysis was performed to determine the overall COVID-19 vaccine acceptance level to understand the sources of substantial heterogeneity. RESULTS: Out of the 375 studies identified, 17 studies from four continents assessing 25 147 participants (pregnant women) were included in this study. Among the participants, only 49% (95% CI 42% to 56%, p<0.001) had COVID-19 vaccine acceptance. High-income countries (47%; 95% CI 38% to 55%, p<0.001), participants with fewer than 12 years of education (38%; 95% CI 19% to 58%, p<0.001) and multiparous women (48%; 95% CI 31% to 66%, p<0.001) had lower COVID-19 vaccine acceptance. Overall heterogeneity was high (I2 ≥98%), and publication bias was present (p<0.001). A very weak positive correlation between COVID-19 knowledge and COVID-19 vaccine acceptance was observed (r=0.164; 95% CI -0.946 to 0.972; p=0.8359). CONCLUSION: Overall, COVID-19 vaccine acceptance among pregnant women was low across the studies and considerably low among some specific subgroups of participants. These research findings have implications for the development of effective interventions that could increase the COVID-19 vaccine acceptance level among pregnant women to attain herd immunity. PROSPERO REGISTRATION NUMBER: CRD42021277754.

The prevalence and socio-demographic risk factors of coexistence of stunting, wasting, and underweight among children under five years in Bangladesh: a cross-sectional study.

BACKGROUND: Childhood stunting, wasting and underweight are significant public health challenges. There is a gap in knowledge of the coexistence of stunting, wasting, and underweight among children under five years (under-5) in Bangladesh. This study aims to (i) describe the prevalence of the coexistence of stunting, wasting, and underweight and ii) examine the risk factors for the coexistence of stunting, wasting, and underweight among children under-5 in Bangladesh. METHODS: This study included 6,610 and 7,357 under-5 children from Bangladesh Demographic Health Surveys (BDHS) 2014 and 2017/18, respectively. The associations between the coexistence of stunting, wasting, and underweight and independent variables were assessed using the Chi-square test of independence. The effects of associated independent variables were examined using negative binomial regression. RESULTS: The prevalence of coexistence of stunting, wasting, and underweight gradually declined from 5.2% in 2014 to 2.7% in 2017/18. Children born with low birth weight ((adjusted incidence rate ratios, aIRR) 2.31, 95% CI 1.64, 3.24)); children of age group 36-47 months (aIRR 2.26, 95% CI 1.67, 3.08); children from socio-economically poorest families (aIRR 2.02, 95% CI 1.36, 2.98); children of mothers with no formal education (aIRR 1.98, 95% CI 1.25, 3.15); and children of underweight mothers (aIRR 1.73, 95% CI 1.44, 2.08) were the most important risk factors. Further, lower incidence among children with the coexistence of stunting, wasting, and underweight was observed in the 2017-18 survey (aIRR 0.59, 95% CI 0.49, 0.70) compared to children in the 2014 survey. CONCLUSIONS: One out of thirty-five under-5 children was identified to have coexistence of stunting, wasting, and underweight in Bangladesh. The burden of coexistence of stunting, wasting, and underweight was disproportionate among children born with low birth weight, socio-economically poorest, a mother with no formal education, and underweight mothers, indicating the need for individual, household, and societal-level interventions to reduce the consequences of coexistence of stunting, wasting, and underweight.

Protocol for a randomised controlled trial of a family strengthening program to prevent unhealthy weight gain among 5 to 11-year-old children from at-risk families: the Strong Families Trial.

BACKGROUND: Obesity is an increasing health concern in Australia among adult and child populations alike and is often associated with other serious comorbidities. While the rise in the prevalence of childhood obesity has plateaued in high-income countries, it continues to increase among children from disadvantaged and culturally diverse backgrounds. The family environment of disadvantaged populations may increase the risk of childhood obesity through unhealthy eating and lifestyle practices. The Strong Families Trial aims to assess the effectiveness of a mixed behavioural and lifestyle intervention for parents and carers of at-risk populations, i.e. families from culturally diverse and disadvantaged backgrounds, in preventing unhealthy weight gain among children aged 5 to 11 years. METHODS: Eight hundred families from low socio-economic areas in Greater Western Sydney, NSW, and Melbourne, VIC, will be recruited and randomised into a lifestyle intervention or control group. The intervention comprises 90-minute weekly sessions for 6 weeks (plus two-booster sessions) of an integrated, evidence-based, parenting and lifestyle program that accounts for the influences of family functioning. Primary (anthropometric data) and secondary (family functioning, feeding related parenting, physical activity, consumption of healthy foods, health literacy, family and household costs) outcome measures will be assessed at baseline, immediately following the intervention, and 12 months post-intervention. DISCUSSION: This study will elucidate methods for engaging socially disadvantaged and culturally diverse groups in parenting programs concerned with child weight status. TRIAL REGISTRATION: This study is registered with the Australian New Zealand Clinical Trials Registry ( ACTRN12619001019190 ). Registered 16 July 2019.

Health system readiness for non-communicable diseases at the primary care level: a systematic review.

OBJECTIVE: To synthesise evidence on the primary healthcare system's readiness for preventing and managing non-communicable diseases (NCDs). DESIGN: Systematic review. DATA SOURCES: Ovid MEDLINE, EMBASE, CINAHL, PsycINFO and Scopus were searched from 1 January 1984 to 30 July 2021, with hand-searching references and expert advice. ELIGIBILITY CRITERIA: Any English-language health research with evidence of readiness/preparedness of the health system at the primary healthcare level in the context of four major NCDs: diabetes mellitus, cancer, chronic respiratory diseases (CRDs) and cardiovascular diseases (CVDs). DATA EXTRACTION AND SYNTHESIS: Two authors independently extracted data and assessed the bias. The full-text selected articles were then assessed using the Mixed Methods Appraisal Tool. Health system readiness was descriptively and thematically synthesised in line with the health system dynamics framework. RESULTS: Out of 7843 records, 23 papers were included in this review (15 quantitative, 3 qualitative and 5 mixed-method studies). The findings showed that existing literature predominantly examined health system readiness from the supply-side perspective as embedded in the WHO's health system framework. However, at the primary healthcare level, these components are insufficiently prepared for NCDs. Among NCDs, higher levels of readiness were reported for diabetes mellitus and hypertension in comparison to CRDs (asthma, chronic obstructive pulmonary disease), CVDs and cancer. There has been a dearth of research on the demand-side perspective, which is an essential component of a health system and must be addressed in the future research. CONCLUSION: The supply-side components at the primary healthcare level are inadequately ready to address the growing NCD burden. Improving supply-side factors, with a particular focus on CRDs, CVDs and cancer, and improving understanding of the demand-side components of the health system's readiness, may help to prevent and manage NCDs at the primary healthcare level.