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.

Urban-rural differences in the associated factors of severe under-5 child undernutrition based on the composite index of severe anthropometric failure (CISAF) in Bangladesh.

INTRODUCTION: Severe undernutrition among under-5 children is usually assessed using single or conventional indicators (i.e., severe stunting, severe wasting, and/or severe underweight). But these conventional indicators partly overlap, thus not providing a comprehensive estimate of the proportion of malnourished children in the population. Incorporating all these conventional nutritional indicators, the Composite Index of Severe Anthropometric Failure (CSIAF) provides six different undernutrition measurements and estimates the overall burden of severe undernutrition with a more comprehensive view. This study applied the CISAF indicators to investigate the prevalence of severe under-5 child undernutrition in Bangladesh and its associated socioeconomic factors in the rural-urban context. METHODS: This study extracted the children dataset from the 2017-18 Bangladesh Demographic Health Survey (BDHS), and the data of 7661 children aged under-5 were used for further analyses. CISAF was used to define severe undernutrition by aggregating conventional nutritional indicators. Bivariate analysis was applied to examine the proportional differences of variables between non-severe undernutrition and severe undernutrition group. The potential associated socioeconomic factors for severe undernutrition were identified using the adjusted model of logistic regression analysis. RESULTS: The overall prevalence of severe undernutrition measured by CISAF among the children under-5 was 11.0% in Bangladesh (rural 11.5% vs urban 9.6%). The significant associated socioeconomic factors of severe undernutrition in rural areas were children born with small birth weight (AOR: 2.84), children from poorest households (AOR: 2.44), and children aged < 36 months, and children of uneducated mothers (AOR: 2.15). Similarly, in urban areas, factors like- children with small birth weight (AOR: 3.99), children of uneducated parents (AOR: 2.34), poorest households (APR: 2.40), underweight mothers (AOR: 1.58), mothers without postnatal care (AOR: 2.13), and children's birth order ≥4 (AOR: 1.75), showed positive and significant association with severe under-5 undernutrition. CONCLUSION: Severe undernutrition among the under-5 children dominates in Bangladesh, especially in rural areas and the poorest urban families. More research should be conducted using such composite indices (like- CISAF) to depict the comprehensive scenario of severe undernutrition among the under-5 children and to address multi-sectoral intervening programs for eradicating severe child undernutrition.

Socio-demographic risk factors for severe malnutrition in children aged under five among various birth cohorts in Bangladesh.

Tackling malnutrition is a major health priority for a developing country like Bangladesh. This study explored the differences in prevalence of having only one form, and multiple forms, of severe malnutrition (stunting, wasting and underweight) among under-5 children in Bangladesh, and aimed to identify the important factors affecting these. Data were extracted from the Bangladesh Demographic Health Surveys conducted in 2007, 2011 and 2014. The outcome measures were 'only one form' and 'multiple forms' of severe malnutrition in children aged under 5 years. A Chi-squared test was performed to find the association of outcome variables with selected socio-demographic factors and logistic regression models were applied to identify risk factors. A total of 19,874 children aged under 5 years were included in the analysis. The overall proportion with one form of severe child malnutrition was approximately 12%, and the proportion with multiple forms was 8%. Age, mother's education, father's occupation, mother currently working, watching television, source of water, solid waste used in cooking, intimate partner violence (IPV), wealth index, urban/rural place of residence and birth cohort were found to be significant factors for both having only one and having multiple forms of severe child malnutrition. Children with an uneducated mother of poor socioeconomic class had a higher risk of severe malnutrition. Children of fathers with a professional occupation were at lower risk of having multiple forms of severe malnutrition. The proportions of children aged under 5 years with one or multiple forms of severe malnutrition were shown to be high in Bangladesh. The prevention of malnutrition in the country should be seen as a significant public health issue and given top priority.

Risk Factors for Child Malnutrition in Bangladesh: A Multilevel Analysis of a Nationwide Population-Based Survey.

OBJECTIVE: To identify the prevalence and risk factors of child malnutrition in Bangladesh. STUDY DESIGN: Data was extracted from the Bangladesh Demographic Health Survey (2011). The outcome measures were stunting, wasting, and underweight. χ(2) analysis was performed to find the association of outcome variables with selected factors. Multilevel logistic regression models with a random intercept at each of the household and community levels were used to identify the risk factors of stunting, wasting, and underweight. RESULTS: From the 2011 survey, 7568 children less than 5 years of age were included in the current analysis. The overall prevalence of stunting, wasting, and underweight was 41.3% (95% CI 39.0-42.9). The χ(2) test and multilevel logistic regression analysis showed that the variables age, sex, mother's body mass index, mother's educational status, father's educational status, place of residence, socioeconomic status, community status, religion, region of residence, and food security are significant factors of child malnutrition. Children with poor socioeconomic and community status were at higher risk of malnutrition. Children from food insecure families were more likely to be malnourished. Significant community- and household-level variations were found. CONCLUSIONS: The prevalence of child malnutrition is still high in Bangladesh, and the risk was assessed at several multilevel factors. Therefore, prevention of malnutrition should be given top priority as a major public health intervention.

Levels and determinants of complementary feeding based on meal frequency among children of 6 to 23 months in Bangladesh.

BACKGROUND: Information concerning complementary feeding (CF) practice during infancy and early childhood is still scarce in Bangladesh. Therefore, this study aimed to estimate the level of CF among children of 6-23 months and identify individual, household and community level determinants in Bangladesh. METHODS: Secondary data from the Bangladesh Demographic Health Survey (BDHS) 2011 was used. A total of 2,373 children aged 6-23 months were selected. A simplified index called "dimension index" was used to estimate the level of CF. The score of this index was used either as continuous or categorical dependent variables. The highest score based on dimension index is associated to an adequate CF. Statistical analyses and tests were guided by types of variables. Finally, multivariable logistic regression (binary and multinomial) analyses were performed to identify the significant determinants of CF. RESULTS: The overall level of CF among children of 6-23 months was low. More than 90 % of children experienced either no (2.9 %) or inadequate CF (92.7 %). According to bivariable analyses, mean levels of CF as well as percentages of no/inadequate CF were significantly lower among children of the youngest age group, uneducated parents, unemployed/laborer fathers, socio-economically poor families, food insecure families and rural areas. No weekly exposure to mass media (namely watching TV and reading newspapers/magazines) also revealed significant associations with CF. However, only few variables remained significant for adequate CF in the multivariable logistic regression analysis. For example, the likelihood of experiencing adequate CF was significantly lower among children of 6-11 months (OR: 0.22, 95 % CI: 0.10-0.47), children of illiterate fathers (OR: 0.32, 95 % CI: 0.11-0.95) and socio-economically middle-class families (OR: 0.28, 95 % CI: 0.09-0.86) as compared to their reference categories. CONCLUSION: A high level of inadequate CF leading to malnutrition may cause serious health problems among children of 6-23 months in Bangladesh. Vulnerable groups of children (e.g., the children aged 6 to 11 months and children of illiterate fathers), who received low levels of adequate CF, should be targeted by government and other stakeholders while developing strategies and interventions in order to improve overall situation of CF in Bangladesh.

Low maternal education and socio-economic status were associated with household food insecurity in children under five with diarrhoea in Bangladesh.

AIM: Household food insecurity (HFI) is insufficient access to nutritionally safe and adequate foods to meet the dietary needs for an active and healthy life. We examined the prevalence and determinants of HFI in Bangladeshi children under five with diarrhoea. METHODS: This study included 365 children (55% boys) who had diarrhoea in the two weeks before the 2011 Bangladesh Demographic Health Survey (BDHS-2011). The Household Food Insecurity Access Scale (HFIAS) was used to assess HFI and Pearson's chi-square test and binary logistic regression analysis were used to investigate the association between HFI and multilevel factors. RESULTS: The prevalence of HFI among children under five with diarrhoea in the two weeks prior to the BDHS-2011 survey was 48%. HFI was significantly higher among the children of uneducated mothers, who were two times more likely to experience HFI, with an adjusted odds ratio (OR) of 2.14 and children who were from the lowest socio-economic status families, who were more than seven times more likely to experience HFI, with an adjusted OR of 7.55. CONCLUSION: Low maternal education and low socio-economic status were significantly associated with HFI in Bangladeshi children under five with diarrhoea and public health campaigns should take this into account.

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.

Coping with COVID-19 Pandemic and Sustained Health Behavior: A Cross-Sectional Study in Bangladesh.

During the COVID-19 pandemic, people's health behavioral changes have been transposed into a new dimension. Coping with the COVID-19 pandemic may have an impact on sustained health behavior (SHB). Therefore, this study aimed to explore the validity and reliability of the COVID-19 Coping Scale among working-age individuals and to assess whether coping with COVID-19-related stress could influence SHB in this population. A cross-sectional study was conducted based on the population of the city of Dhaka in Bangladesh. A total of 263 working-age individuals (19-65 years) participated in the study. The present study results confirmed the COVID-19 Coping Scale was a valid and reliable instrument for this population. Moreover, the present finding indicated decreased odds of SHB for individuals who rated lower scores on coping with COVID-19 compared to individuals who rated higher scores; the result remained significant after controlling for gender and education (OR 0.68, 95% CI: 0.54-0.87). The present study suggests two important findings: (i) the instrument used in this study was valid and reliable in this population, and (ii) coping with COVID-19-related stress may be an important aspect of practicing SHB. Policymakers may use the highlighted findings to facilitate sustainable health behavior for long-term health benefits and to tackle future pandemics like COVID-19 or in a similar context.

Effects of acne severity and acne-related quality of life on depressive symptoms among adolescents and young adults: a cross-sectional study in Bangladesh.

Introduction: Depression is a common mental health disorder and one of the major causes of disability. This study aimed at investigating the relationship of acne severity and acne-related quality of life with depressive symptoms, and the mediating effect of acne-related quality of life in a relationship between acne severity and depressive symptoms. Methods: This is a cross-sectional study. Data were collected from acne patients attending a tertiary-level hospital, using a questionnaire that comprised three validated instruments - Investigator's Global Assessment (a single item) scale, Cardiff Acne Disability Index, and Beck Depression Inventory for measuring acne severity, acne-related quality of life, and depressive symptoms, respectively. Logistic regression and linear regression were used to examine the association between acne severity and depressive symptoms and a correlation between the acne-related quality of life and depressive symptoms, respectively. A mediation analysis was also performed to see the mediation effects of acne-related quality of life in a relationship between acne severity and depressive symptoms. Results: A total of 185 acne patients (155 females, 83.8%) with a mean age was 22.55 ± 8.67 years were included in the study. Adolescents and young adults with severe and moderate acne had 6.14-and 2.28 times higher odds of depression compared to their peers with mild acne, respectively. Patients with low levels of acne-related quality of life had a higher level of depressive symptoms (ß = 0.42, p < 0.001). The total effect (direct + indirect) was also significant (ß = 0.27, 95% CI: 1.29-4.09), implying the effect of acne severity on depression. Conclusion: The present study suggests that acne severity and acne-related quality of life were associated with depressive symptoms among patients with acne vulgaris. The study also indicates that the relationship between acne severity and depressive symptoms might occur through a chain-mediating effect of acne disability in this population.

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.

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.

Urban-rural difference in factors associated with childhood functional difficulty in Bangladesh: a cross-sectional study.

Objective: Early childhood functional difficulty poses a substantial worldwide public health challenge, leading to adverse effects on children's quality of life and overall productivity. Moreover, it represents a significant social and economic problem in Bangladesh. Therefore, the current study aimed to identify factors contributing to childhood functional difficulty in Bangladesh within the context of urban-rural areas. Methods: A nationally representative cross-sectional survey data from Multiple Indicator Cluster Survey (MICS), 2019 in Bangladesh was used in this study. Chi-square test and multivariable logistic regression analyses were carried out to identify factors associated with childhood functional difficulty. Results: Functional difficulties were found in approximately 3.3% of children 2-4 years of age in urban areas and 2.5% in rural areas. Having a mother with functional difficulties and undernutrition were identified as significant factors common in both urban and rural areas. Further, mothers who had no formal education (AOR = 2.76, 95%CI = 1.18-6.45) and experienced infant death (AOR = 1.94, 95%CI = 1.01-3.70) were identified as significant factors of functional difficulty in urban areas. On the other hand, in rural areas, no access to mass media, children with acute respiratory infection (ARI) (AOR = 2.13, 95%CI = 1.39-3.28), female sex (AOR = 0.69, 95%CI = 0.53-0.91), child undernutrition (AOR = 1.73, 95%CI = 1.32-2.27) and poorer socio-economic status (AOR = 1.95, 95%CI = 1.08-3.55) were found significant factors. Conclusion: Functional difficulty was found to be present in one out of every 35 children age 2 to 4 years in Bangladesh. Childhood functional difficulties were reported slightly higher in urban areas as compared to rural areas. Reducing childhood difficulties in urban areas demands comprehensive strategies: quality healthcare, inclusive education, community support, better information systems, and collaboration. To achieve urban-rural parity in child health, address disparities in economic development, healthcare, and education, especially for girls.

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.

Determinants of Utilization of Institutional Delivery Services in Zambia: An Analytical Cross-Sectional Study.

Institutional delivery at birth is an important indicator of improvements in maternal health, which remains one of the targets of sustainable development goals intended to reduce the maternal mortality ratio. The purpose of the present study was to identify the determinants of utilization of institutional delivery in Zambia. A population-based cross-sectional study design was used to examine 9841 women aged 15-49 years from the 2018 Zambia Demographic and Health Survey. A multiple logistic regression was applied to calculate odds ratios (ORs) with 95% confidence intervals (CIs) to identify determinants of utilization of institutional delivery. Sociodemographic factors were significantly associated with institutional delivery: woman's (OR: 1.76; 95% CI: 1.04-2.99) and husband's (OR: 1.83; 95% CI: 1.09-3.05) secondary/higher education, higher wealth index (OR: 2.31; 95% CI: 1.27-4.22), and rural place of residence (OR: 0.55; 95% CI: 0.30-0.98). Healthcare-related factors were also significantly associated with institutional delivery: 5-12 visits to antenatal care (OR: 2.33; 95% CI: 1.66-3.26) and measuring blood pressure (OR: 2.15; 95% CI: 1.32-2.66) during pregnancy. To improve institutional delivery and reduce maternal and newborn mortality, policymakers and public health planners should design an effective intervention program targeting these factors.

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.

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.

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.

Differences in risk factors associated with single and multiple concurrent forms of undernutrition (stunting, wasting or underweight) among children under 5 in Bangladesh: a nationally representative cross-sectional study.

OBJECTIVES: The study aims to differentiate the risk factors of single and multiple concurrent forms of undernutrition among children under 5 in Bangladesh. DESIGN: A nationally representative cross-sectional study. SETTING: Bangladesh. RESPONDENTS: Children age under 5 years of age. OUTCOME MEASURE: This study considered two dichotomous outcomes: single form (children without single form and with single form) and multiple concurrent forms (children without multiple forms and with multiple forms) of undernutrition. STATISTICAL ANALYSIS: Adjusted OR (AOR) and CI of potential risk factors were calculated using logistic regression analysis. RESULTS: Around 38.2% of children under 5 in Bangladesh are suffering from undernutrition. The prevalence of multiple concurrent forms and single form of child undernutrition was 19.3% and 18.9%, respectively. The key risk factors of multiple concurrent forms of undernutrition were children born with low birth weight (AOR 3.76, 95% CI 2.78 to 5.10); children in the age group 24-35 months (AOR 2.70, 95% CI 2.20 to 3.30) and in the lowest socioeconomic quintile (AOR 2.57, 95% CI 2.05 to 3.23). In contrast, those children in the age group 24-35 months (AOR 1.94, 95% CI 1.61 to 2.34), in the lowest socioeconomic quintile (AOR 1.79, 95% CI 1.45 to 2.21) and born with low birth weight (AOR 1.52, 95% CI 1.11 to 2.08) were significantly associated with a single form of undernutrition. Parental education, father's occupation, children's age and birth order were the differentiating risk factors for multiple concurrent forms and single form of undernutrition. CONCLUSION: One-fifth of children under 5 years of age are suffering multiple concurrent forms of undernutrition, which is similar to the numbers suffering the single form. Parental education, father's occupation, children's age and birth order disproportionately affect the multiple concurrent forms and single form of undernutrition, which should be considered to formulate an evidence-based strategy for reducing undernutrition among these children.

Prevalence and risk factors of childhood anemia in Nepal: A multilevel analysis.

INTRODUCTION: Anemia is a common problem in children particularly in developing countries and taking steps to tackle it is one of the major public health challenges for Nepal. The objective of this study is to investigate the prevalence of individual, household and community level determinants of childhood anemia in Nepal. METHODS: Data was taken from a nationally representative sample of 1,942 Nepalese children aged from 6-59 months. The Chi-square test was used to determine the bivariate relationship between the selected variables and childhood anemia and a multilevel logistic regression model with a random intercept at household and community level was used to identify important determinants of this kind of anemia. RESULTS: The results showed that 52.6% (95% CI: 49.8%-55.4%) of the children were anemic while 26.6% (95% CI: 24.0%-29.3%) of them were moderate to severe. The prevalence of overall anemia was higher among children aged less than 11 months as well as in underweight children, children of underweight, anemic and uneducated mothers and those in the terrain ecological regions. Multivariable analysis showed that children aged less than 11 months, who were underweight and had anemic mothers were more likely to have moderate or severe anemia. Children in the hilly ecological region were less likely to have it compared to mountain and terrain ecological regions. Children in middle-class families and children of mothers who completed secondary education were more likely to have anemia. CONCLUSION: Nepal is facing a serious public health problem due to the high prevalence of childhood anemia. This adverse situation occurs due to socio-demographic and geographical factors such as age, malnutrition status, mother's anemia status, socio-economic status and regional variations. Prevention of childhood anemia should be given top priority in Nepal and should be considered as a major public health intervention.

Does the addiction in online pornography affect the behavioral pattern of undergrad private university students in Bangladesh?

OBJECTIVES: Anecdotal reports from Bangladesh indicated that some young adults were becoming addicted to online pornography similar to how others become addicted to gambling, drugs, and alcohol. Such behaviors can have social, academic, and behavioral implications in this population. This study investigated the association between consumption of online pornography and sociobehavioral patterns among students from a private university in Bangladesh. METHODS: In total, 299 undergraduate students (70.6% male) at the First Capital University of Bangladesh were interviewed using a structured questionnaire. The questions included sociodemographic characteristics, online-based pornography consumption habits and sociobehavioral characteristics. Chi-square test and binary logistic regression analysis were performed to examine correlations between online pornography addiction and sociobehavioral factors such as socializing habits, nature of interactions, university attendance and study focus, sleeping habits, and consumption of main meals. RESULTS: The use of pornography was significantly higher among students who gathered late nights with their friends (58.4%, P < 0.001). Furthermore, those who frequently argue/fight with their friends (51.0%, P = 0.001) frequently fooled around with their friends (48.4%, P < 0.001) and those who did not go to bed on time (57.7%, P < 0.001) reported greater consumption of pornography. Students who fooled around with their friends and those did not go to bed on time were more than twice as likely to watch pornography than students who did not fool around, and those went to bed on time. CONCLUSION: The study provides the first overview of online pornography consumption. A significant proportion of male students consumed erotic materials online than females. Students who did not go to bed emerged to consume online pornography. Such behaviors can have negative impacts on studies education outcomes as well as wider social and moral impacts for students and the society as a whole. In this digital era, technology has invaded every aspect of our lives, with increasing access to the internet. Therefore, it is imperative to provide specifically designed pornography addiction education programs to educate students about the adverse effects of pornography. Furthermore, targeted treatment programs for sexual addiction, sexual abuse, and pornography abuse are needed to support the individuals who are addicted to pornography.