Child Health Indicators Research Articles

Infant Mortality in the Chechen Republic: Comparative Analysis and Major Trends

Background. Despite the clear trend towards infant mortality decrease in our country, there are significant differences in values in some federal districts and regions of Russian Federation. Thus, the assessment of infant mortality rates and health indicators is crucial topic of scientific analysis. Objective. The aim of the study is to investigate selected child health indicators and infant mortality rates in the Chechen Republic. Methods. We have conducted the retrospective cross-sectional study of infant mortality rates, prematurity incidence, infant and newborn morbidity, and mortality of children born sick or got sick. The study was based on the data from official statistics and from the extraction of statistical reporting forms No. 12 and No. 32. Results. The Chechen Republic belongs to the regions with high infant mortality rate, however, it has decreased by 11.6% from 6.9 to 6.1‰ in 2018–2022. The major diseases causing lethal outcomes in infants in this region, and in Russia as a whole, were certain conditions that occur in the perinatal period, and congenital disorders. Meanwhile, mortality from respiratory diseases and some infectious and parasitic diseases exceeded the national average. Prematurity incidence in the republic was 1.5 times lower than the national average, newborns morbidity was 1.7 times lower, infants morbidity was 4.0 times lower. Trend analysis has revealed that prematurity incidence and newborns morbidity have slightly changed over 5 years (+2.2% and –1.0%), while infants morbidity had significant trend (–40.2%). All morbidity rates of children who died at the age under 1 year were significantly lower than the national average for all classes of diseases that are the most common for infants mortality. The mortality rates among children born sick or got sick were on average 5.4 times higher than similar indicators in Russia. The highest mortality rate was observed among children who died from perinatal conditions, congenital disorders, external causes, and some infectious and parasitic diseases. The level of the maternal and child health service performance was 0.44 on average over the 5-year interval, that corresponds to the average level of efficacy. Conclusion. This study has allowed to reveal that there is an urge to improve the organization of medical care for infants in the Chechen Republic.

Development of algorithms for estimating the Child Health Utility 9D from Caregiver Priorities and Child Health Index of Life with Disabilities

PurposeThe primary aim was to determine Child Health Utility 9D (CHU9D) utilities from the Caregiver Priorities and Child Health Index of Life with Disabilities (CPCHILD) for non-ambulatory children with cerebral palsy (CP).MethodsOne hundred and eight surveys completed by Australian parents/caregivers of children with CP were analysed. Spearman’s coefficients were used to investigate the correlations between the two instruments. Ordinary least square, robust MM-estimator, and generalised linear models (GLM) with four combinations of families and links were developed to estimate CHU9D utilities from either the CPCHILD total score or CPCHILD domains scores. Internal validation was performed using 5-fold cross-validation and random sampling validation. The best performing algorithms were identified based on mean absolute error (MAE), concordance correlation coefficient (CCC), and the difference between predicted and observed means of CHU9D.ResultsModerate correlations (ρ 0.4–0.6) were observed between domains of the CHU9D and CPCHILD instruments. The best performing algorithm when considering the CPCHILD total score was a generalised linear regression (GLM) Gamma family and logit link (MAE = 0.156, CCC = 0.508). Additionally, the GLM Gamma family logit link using CPCHILD comfort and emotion, quality of life, and health domain scores also performed well (MAE = 0.152, CCC = 0.552).ConclusionThis study established algorithms for estimating CHU9D utilities from CPCHILD scores for non-ambulatory children with CP. The determined algorithms can be valuable for estimating quality-adjusted life years for cost-utility analysis when only the CPCHILD instrument is available. However, further studies with larger sample sizes and external validation are recommended to validate these findings.

Clusters of 24-hour movement behavior and diet and their relationship with health indicators among youth: a systematic review

Movement-related behaviors (physical activity [PA], sedentary behavior [SB], and sleep) and diet interact with each other and play important roles in health indicators in youth. This systematic review aimed to investigate how PA, SB, sleep, and diet cluster in youth by biological sex; and to examine which cluster are associated with health indicators. This study was registered in PROSPERO (number: CRD42018094826). Five electronic databases were assessed. Eligibility criteria allowed studies that included youth (aged 19 years and younger), and only the four behaviors {PA, SB, sleep, and diet (ultra-processed foods [UPF]; fruits and vegetables [FV])} analyzed by applying data-based cluster procedures. From 12,719 articles screened; 23 were included. Of these, four investigated children, and ten identified clusters by biological sex. Sixty-six mixed cluster were identified including, 34 in mixed-sex samples, 10 in boys and 11 in girls. The most frequent clusters in mixed-sex samples were “High SB UPF Low Sleep”, “Low PA High SB Satisfactory Sleep”, and “High PA”. The main difference in profiles according to sex was that girls’ clusters were characterized by high sleep duration, whereas boys’ clusters by high PA. There were a few associations found between cluster types and health indicators, highlighting that youth assigned to cluster types with low PA exhibited higher adiposity. In conclusion, the youth presented a range of clusters of behaviors, typically exhibiting at least one unhealthy behavior. Similar patterns were observed in both sexes with the biggest difference in time of sleep for girls and PA for boys. These findings underscore the importance of intervention strategies targeting multiple behaviors simultaneously to enhance health risk profiles and indicators in children and adolescents.

Long-term outcomes of reconstructive treatment for painful dislocations in patients with cerebral palsy.

This report presents the long-term results of the hip joint reconstruction in patients with spastic hip disease through open reduction, proximal femur varus derotation osteotomy, and Dega transiliac osteotomy. We analyzed retrospectively patients diagnosed with a spastic form of bilateral cerebral palsy with painful hip subluxation or dislocation. All patients underwent the same surgical procedure. The minimum follow-up time was 15 years. The study group comprised 15 patients (22 hips), classified with the Gross Motor Function Classification System as levels IV and V. The hip joint range of motion and anteroposterior X-ray examination at the final follow-up visit were compared with pre-operative data. The pain level was evaluated using the Visual Analogue Scale (VAS), and the femoral head shape was assessed using the Rutz classification. The patients' caregivers answered questions regarding pain during sitting, personal hygiene activities, and at rest. The caregivers' satisfaction with the treatment was also assessed with the Caregiver Priorities and Child Health Index of Life with Disabilities questionnaire. We observed a significant reduction of the hip joint pain and improvement in both radiological hip stability parameters and range of motion at the final follow-up visit. Based on the Rutz classification, one hip remained type B, while the other joints became type A. Reduced pain was reported in all three positions, with the most pronounced improvement during sitting and personal hygiene activities. Interestingly, patients with unilateral hip reconstruction were more prone to pain after reconstruction than those operated bilaterally. Primary reconstruction of the painful hip joint neurogenic dislocation results in a stable joint reduction, pain decrease, and improved quality of life in patients with cerebral palsy. IV case series.

Study of mothers support groups in Colombo district, Sri Lanka – a case study

Sri Lanka has achieved significant progress in maternal and child health indicators over the years. However, nutritional indicators have remained stagnant due to various reasons, contributing to both under and over-nutrition and impacting the country's economic and social landscape. Mothers' Support Groups (MSGs) have emerged as a powerful community initiative to address health and nutritional challenges. These groups, established in 2002, aim to promote good health practices through community mobilization and empowerment. Despite their proven effectiveness, the COVID-19 pandemic and economic crises have impacted MSG activities. This case study examines the establishment, development, and challenges of MSGs in the Colombo district, offering recommendations for improvement.

Associations between maternal perceptions of social support and adolescent weight status: A longitudinal analysis

Social support is a well-established predictor of improved physical health outcomes among adults. Establishing whether maternal social support may have an inter-generational positive impact on their child's physical health will provide important information for developing potential interventions and policies. Elevated body mass index (BMI) is one indicator of child health that is linked to increased risk for cardiovascular disease and other morbidities later in life. There is some evidence that maternal social support is associated with improved child and adolescent weight status; however, no studies have examined whether specific aspects of social support are more impactful than others or whether support availability is differentially impactful across developmental stages. The present study examined whether maternal perceptions of specific types of social support (i.e., financial support, non-monetary instrumental support, partner emotional support, and having a close supportive contact) were associated with lower adolescent BMI z-scores using longitudinal data collected over a 15-year period from the Future of Families and Child Wellbeing Study (n = 3146), which includes a high proportion of families experiencing socioeconomic disadvantage. Findings from linear regression models using specific types of social support measured across six waves of data collected over a 15-year period indicated that maternal perceptions of greater financial support were associated with lower adolescent BMI z-scores at 15 years (B = −0.05, 95% CI: −0.10, −0.004, P = 0.04), while the other types of support were not. Additional timing analyses demonstrated that perceived financial support during late childhood to adolescence was associated with lower adolescent BMI z-scores (B = −0.06, 95% CI: −0.11, −0.01, P = 0.01), whereas associations between support during infancy and early childhood were not detected. Study findings provide important insights for developing interventions and policies that improve maternal social supports to benefit child health.

Assessing Child Health in India: Development and Validation of a Comprehensive Child Health Index

While developing a child health index is of interest, it is particularly important in the Indian context, because of a high burden of poor child health, the disparities in child health between different social, economic, and geographical regions and the absence of such a comprehensive index. This paper focuses on the development and validation of a Child Health Index (CHI) for India. Using publicly available data at the district level and principal component analysis, this index is composed of 16 variables representing six domains namely socio-cultural, child health status, determinants of child health (both risk and protective factors), household environment and health system and policy. Several statistical tests were conducted to provide internal and external validation. The application to predict child mortality confirmed its validation. This study thus provides a new tool for characterising child health and detecting child health inequalities at a district level in India. Consequently, it can be used by policymakers, health service providers and other stakeholders involved in child welfare to monitor and improve child health over time and space.

Feasibility of Community Needs Assessment Tools as an Alternative For Health Survey in Describing Health Profile of A Community - A Mixed Method Study In Muddungere, Karnataka, India

Introduction: In India, even with planned health services, it is difficult to reach the health goals without community participation. While Community needs assessment approach (CNAA) tools like Focussed group Discussion (FGD), Village mapping and matrix ranking have been effective in quickly gathering information, surveys have been conventionally preferred. Aim & Objective: The present study compares qualitative and quantitative methods to understand feasibility of using CNAA tools in place of survey as an alternative tool Methodology: Mixed Method research employing Survey and CNAA methods of FGD, Village Mapping, transect walk and Matrix ranking score was carried out as a part of academic activity of National Service Scheme(NSS). Data was represented in form of percentages and frequency tables. Association was measured using Chi Square using Epi Info TM version 7.2.1software. Results: Using quantitative survey, we found that 71% used piped supply and 93.1% of the households used toilets. But 6.9% of them still preferred open fields for defecation. Amongst the participants of FGD, it was found that 90% participants preferred going to government hospitals. Comparable data found for variables like Maternal and child health indicators, Sanitation practices and burden of Non communicable diseases. Partially comparable results were found for burden of communicable diseases. Conclusion: CNAA research tools demonstrated comparability with survey in most areas of health concern and reduced the time required for conducting research without compromising the quality of results

Malnourished children? Child health disparities and its causes in Eastern India

The disparity in child health outcomes across Indian districts, particularly in Eastern India, is alarming. Approximately half of the districts in this region exhibit very poor child health outcomes, evidenced by alarmingly high neonatal, infant, and under‐five mortality rates. This study analyses the existing levels and patterns of child health outcomes across 112 districts of Eastern India, a region known for its low levels of child health status. To do this, we have constructed a composite child health index (CHI) using nationally representative data from the National Family Health Survey (NFHS‐5). Using Principal Component Analysis, the study uses the CHI values to categorize the districts into high, moderate, and low‐performing districts. The results show a significant variation in CHI outcomes across the districts, with striking regional disparities. Notably, all high‐performing districts were located only in the state of Odisha. In contrast, a substantial proportion of the low‐performing districts were in the state of Bihar, suggesting systemic healthcare deficiencies. Using discriminant function analysis, we obtain the critical determinants of CHI to be sanitation facilities, mother's education, marriage before 18 years, and low body mass index of the mother. Our findings confirm that improvements in these areas are crucial for enhancing child health outcomes and ending intergenerational transmission of poor health outcomes. The implications of this study extend beyond eastern India, offering valuable insights into similar challenges in global low‐ and middle‐income regions.

The association between anti-smoking legislation and prevalence of acute respiratory illnesses in Indian children

ObjectiveExposure to tobacco smoke causes numerous health problems in children, and create burden on the population in terms of economy, morbidity and mortality. In order to protect the child from exposure to tobacco smoke in the outdoor environment, sufficient legislative enactments are available in Indian legislation. The objective of the present study is to investigate the fact that in absence of any specific laws stating about protection of children from exposure to tobacco smoke in indoor environment, whether outdoor related legislations are sufficient to protect children from exposureand to explore the scope for enforcement of both state and central laws in improving health of children in India. Study designThe study considered cross-sectional survey data of Demographic and Health Survey Data on India, National Family and Health Survey fourth round (NFHS-4) for the year 2015-16 on Indian children (below age of four). MethodsBoth bivariate and multivariate logistic regression models were used to assess the impact of anti-smoking laws on the prevalence of acute respiratory infection (ARI) based on the place of residence, indoor tobacco smoke exposure and age of the child. ResultsThe results have shown an inclination of ARI among children in association with states having single law, rural area resident, exposure to indoor tobacco smoke and age of the child, both as independent or in combination are quite conspicuous, and are found to be underestimated. The logistic regression also revealed the influence of these factors both as independent and even in interaction with other. ConclusionsLegislative intervention through both at central (or national)and state levels through anti-smoking laws will decrease the indoor tobacco smoke exposure as a result ARI prevalence will also decrease among children in India.

Mental health indicators for children and adolescents in OECD countries: a scoping review.

This scoping review is a further step to build up the Mental Health Surveillance System for Germany. It summarizes and analyzes indicators used or described in Organization for Economic Co-operation and Development (OECD) countries for public mental health monitoring in children and adolescents aged 0-18 years. We searched PubMed-MEDLINE, PsycINFO, Cochrane Databases, and Google Scholar from 2000 to September 2022. The search used five general keyword categories: 1) "indicators/monitoring/surveillance" at the population level, 2) "mental/psychological," 3) "health/disorders," 4) "children and adolescents," and 5) 38 OECD countries. The search was complemented with an extensive grey literature search, including OECD public health institutions and an internet search using Google. A predefined set of inclusion and exclusion criteria was applied. Over 15,500 articles and documents were screened (scientific search N = 10,539, grey literature search more than 5,000). More than 700 articles and documents have been full-text assessed, with 382 being ultimately included. Out of 7,477 indicators extracted, an initial set of 6,426 indicators met our inclusion criteria for indicators. After consolidating duplicates and similar content, this initial set was categorized into 19 topics, resulting in a final set of 210 different indicators. The analysis highlighted an increasing interest in the topic since 2008, but indicators for the younger age, particularly those aged 0 to 2 years, were less readily available. Our research provides a comprehensive understanding of the current state of mental health indicators for children and adolescents, identifying both (1) indicators of public mental health noted in a previous scoping review on adults and (2) new indicators specific to this age group. These findings contribute to the development of effective public health surveillance strategies for children and adolescents and inform future research in this field.

Use of mHealth in promoting maternal and child health in "BIMARU" states of India "A health system strengthening strategy": Systematic literature review.

Low-middle income countries like India bear a heavier burden of maternal, childcare, and child mortality rates when compared with high-income countries, which highlights the disparity in global health. Numerous societal, geopolitical, economic, and institutional issues have been linked to this inequality. mHealth has the potential to ameliorate these challenges by providing health services and health-related information with the assistance of frontline workers in the provision of prepartum, delivery, and postnatal care to improve maternal and child health outcomes in hard-to-reach areas in low- and middle-income countries (LMICs). However, there is limited evidence to support how mHealth can strengthen maternal and child health in India. The scoping review guideline in the Cochrane Handbook was used to retrieve studies from 4 international databases: CINAHL, Embase, Medline Ovid, and PubMed. This search strategy used combined keywords (MeSH terms) related to maternal and child healthcare, mHealth, and BIMARU in conjunction with database-controlled vocabulary. Out of 278 records, 8 publications were included in the review. The included articles used mHealth for data collection, eLearning, communication, patient monitoring, or tracking to deliver maternal and neonatal care. The results of these papers reflected a favourable effect of mHealth on the target population and found that it altered their attitudes and behaviours about healthcare. Higher job satisfaction and self-efficiency were reported by mHealth user care providers. Multiple barriers to the acceptance of mHealth exist, but the majority of the evidence points towards the feasibility of the intervention in a clinical setting. The mHealth has positive potential for improving maternal and child health outcomes in low-resource settings in India's BIMARU states by strengthening the healthcare system. The results of the study could be used in the tailoring of an effective mHealth intervention and implementation strategy in a similar context. However, there is a need for economic evaluation in the future to bridge the knowledge gap regarding the cost-effectiveness of mHealth interventions.

Influence of sociodemographic and obstetric factors on maternal mortality in Brazil from 2011 to 2021

BackgroundObstetric causes are classified as direct (complications of pregnancy, childbirth or the puerperium) or indirect (caused by pregnancy but not directly caused by it). This study aimed to analyze maternal mortality from obstetric causes in Brazil from 2011 to 2021.MethodsThis was an ecological study on mortality and live births. The outcomes were the specific risk of mortality from direct and indirect cause adjustment and death during pregnancy and the puerperium. Binary and multiple linear logistic regressions were used to assess the influence of sociodemographic factors and maternal and child health indicators on maternal mortality and time of death (pregnancy and puerperium). ResultsRegarding mortality during pregnancy and during the puerperium, increased (p = 0.003) and decreased (p = 0.004) mortality over the years, respectively; residing in the northern region was associated with lower (p < 0.05) and greater (p = 0.035) odds; and the Maternal Mortality Committee was the primary and least active source of investigation, respectively (p < 0.0001). The number of deaths from indirect causes increased with age (p < 0.001) and in the northern region (p = 0.011) and decreased in the white (< 0.05) and stable union (0.002) regions. Specifically, for mortality risk, the age group [women aged 15–19 years presented an increase in cesarean section (p < 0.001) was greater than that of women who had < 4 antenatal visits (p < 0.001)], education [women who completed high school (8 to 11 years) was greater when they had < 4 prenatal visits (p = 0.018)], and marital status [unmarried women had more than 4 antenatal visits (p < 0.001); cesarean birth (p = 0.010) and < 4 antenatal visits (p = 0.009) were predictors of marriage; and women in a stable union who had < 4 prenatal visits and live births to teenage mothers (p < 0.001) were predictors]. Women who had no education (p = 0.003), were divorced (p = 0.036), had cesarean deliveries (p < 0.012), or lived in the north or northeast (p < 0.008) had higher indirect specific mortality risk. ConclusionsSociodemographic factors and maternal and child health indicators were related to different patterns of obstetric mortality. Obstetric mortality varied by region, marital status, race, delivery, prenatal care, and cause of death.

Intensive home visiting for adolescent mothers in the Family Nurse Partnership in England 2010–2019: a population-based data linkage cohort study using propensity score matching

BackgroundWe evaluated the effectiveness of the Family Nurse Partnership (FNP), an intensive home visiting programme aiming to improve birth outcomes, child health and development, and to promote economic self-sufficiency among...

Geodetector analysis of individual and joint impacts of natural and human factors on maternal and child health at the provincial scale

This ecological study examined the individual and joint impacts of natural–human factors on the spatial patterns of maternal and child health status in China at the provincial scale in 2020. We considered natural factors (forest coverage, average temperature, and total sulfur dioxide and particulate matter emissions) and human factors (economic development, urbanization, healthcare access, and education level). We combined maternal, infant, and under-five mortality rates into a composite maternal and child health index using the entropy method. The spatial autocorrelation analysis of this index highlighted distinct health patterns across provinces, whereas the geodetector method assessed the effects of natural–human factors on the patterns. A notable east–central–west stepwise decline in health status was observed. Global Moran’s I showed positive spatial clustering, with high–high clustering areas in the Yangtze River Delta and low–low clustering areas in western regions. Factor detection identified eight significant natural–human factors impacting maternal and child health, with total sulfur dioxide emission density having the greatest impact. The interaction between average schooling years and total sulfur dioxide emission notably affected maternal and child health patterns. The study concludes that natural–human factors critically affect the spatial distribution of maternal and child health.

Evolution in key indicators of maternal and child health across the wealth gradient in 41 sub-Saharan African countries, 1986–2019

BackgroundAggregate trends can be useful for summarizing large amounts of information, but this can obscure important distributional aspects. Some population subgroups can be worse off even as averages climb, for example. Distributional information can identify health inequalities, which is essential to understanding their drivers and possible remedies.MethodsUsing publicly available Demographic and Health Survey (DHS) data from 41 sub-Saharan African countries from 1986 to 2019, we analyzed changes in coverage for eight key maternal and child health indicators: first dose of measles vaccine (MCV1); Diphtheria-Pertussis-Tetanus (DPT) first dose (DPT1); DPT third dose (DPT3); care-seeking for diarrhea, acute respiratory infections (ARI), or fever; skilled birth attendance (SBA); and having four antenatal care (ANC) visits. To evaluate whether coverage diverged or converged over time across the wealth gradient, we computed several dispersion metrics including the coefficient of variation across wealth quintiles. Slopes and 5-year moving averages were computed to identify overall long-term trends.ResultsAverage coverage increased for all quintiles and indicators, although the range and the speed at which they increased varied widely. There were small changes in the wealth-related gap for SBA, ANC, and fever. The wealth-related gap of vaccination-related indicators (DPT1, DPT3, MCV1) decreased over time. Compared to 2017, the wealth-gap between richest and poorest quintiles in 1995 was 7 percentage points larger for ANC and 17 percentage points larger for measles vaccination.ConclusionsMaternal and child health indicators show progress, but the distributional effects show differential evolutions in inequalities. Several reasons may explain why countries had smaller wealth-related gap trends in vaccination-related indicators compared to others. In addition to service delivery differences, we hypothesize that the allocation of development assistance for health, the prioritization of vaccine-preventable diseases on the global agenda, and indirect effects of structural adjustment programs on health system-related indicators might have played a role.

The Effective Coverage of Maternal and Child Primary Health-Care-Services and its Relationship with Health-Expenditures: An Analysis at Sub-National-Level in Iran

Introduction: The primary health care (PHC) approach is widely acknowledged as a fundamental element in achieving universal health coverage (UHC) goals. Consequently, numerous countries have undertaken efforts to restructure their health systems based on PHC principles. This study aims to evaluate geographic disparities in essential maternal and child indicators provided at the PHC level, focusing on both crude and effective coverage. Additionally, it seeks to explore the association between effective coverage and health expenditures within the national and sub-national contexts of Iran.&#x0D; Methods: This research employed a secondary analysis approach to investigate the spatial distribution of maternal and child health (MCH) indicators in Iran's provinces, utilizing the latest available data from the 2010 Demographic Health Survey (DHS). To provide a comprehensive understanding of MCH indicators, the study calculated composite indicators, crude, and effective coverage. The provinces' situations were compared using the median cut-off method. Additionally, the study examined the association between coverage indicators and total health expenditure per-capita.&#x0D; Results: At the national level, the crude and the effective composite coverage were 89.56% and 77.22%, respectively. Also, the medians of composite crude and effective service coverage in the provinces were 90.25% and 77.62%, respectively. There was no significant difference between urban and rural areas.&#x0D; Conclusion: This study has revealed a notable difference between the crude and effective service coverage of the selected MCH indicators. While the coverage of maternal services was generally higher than that of child services, there were significant geographic disparities in the coverage of key indicators of MCH services across provinces. Despite the provision of free services in rural areas, their coverage was not higher than that of urban areas. These findings suggest that PHC services in Iran are still far from achieving the desired coverage and UHC goals. Policymakers and stakeholders need to focus on addressing the gaps in effective coverage and geographic disparities to improve access to essential maternal and child health services and achieve UHC in Iran.&#x0D;

Statistical exploration and projection of SDG-3 in Bangladesh through DHS: a study on data-driven perspectives using logistic regression

Sustainable Development Goal-3, as defined by the United Nations, aims to ensure healthy lives, and promote well-being for all at all ages. In the context of Bangladesh, achieving the targets of SDG-3 is a critical priority for public health and development. This study presents a data-driven exploration of SDG-3 in Bangladesh, focusing on maternal and child health indicators. We utilized data from multiple Bangladesh Demographic and Health Surveys conducted in 2011, 2014, and 2018 to provide a comprehensive analysis of health-related trends and determinants. We employed rigorous statistical techniques, including backward stepwise logistic regression and Pearson correlation coefficients, to uncover insights into the status of maternal and child health in Bangladesh. The prevalence of safe childbirth practices exhibited a gradual improvement from 2011 (32.5%) to 2018 (50.2%). Notably, women with higher levels of education demonstrated a significantly higher likelihood of safe childbirth practices (odd ratio = 1.73, 95% Confidence Interval: 1.19 – 1.97). Additionally, residing in urban regions (odd ratio = 1.07, 95% Confidence Interval: 0.96 – 1.39), having access to mass media (odd ratio = 1.34, 95% Confidence Interval: 0.98 – 1.41), receiving antenatal care (odd ratio = 1.62, 95% Confidence Interval: 1.16 – 1.92), being in the rich wealth index category (odd ratio = 1.13, 95% Confidence Interval: 0.92 – 1.39), and choosing to deliver outside the home (odd ratio = 1.48, 95% Confidence Interval: 1.11 – 1.86) were all associated with a higher likelihood of safe childbirth practices. The findings from this study show the power of data-driven decision-making in shaping health policies and interventions. They reveal critical factors affecting health outcomes, offering a roadmap for policymakers and stakeholders to design evidence-based strategies for improving maternal and child health in Bangladesh. This proposed work not only contributes to the academic understanding of public health in Bangladesh but also serves as a practical guide for those working to achieve SDG-3. As Bangladesh continues its journey toward health and well-being for all, this study sets a benchmark for evidence-based policymaking, emphasizing the importance of data-driven perspectives in the pursuit of SDG.

Improving health indicators of mothers and newborns by empowering communities in urban slums of Mumbai, Maharashtra, India

Abstract Background: Newborns represent the most vulnerable segment of our society, constituting nearly 30% of all under-5 mortality cases. Despite well-established healthcare systems in metropolitan areas, urban slum dwellers, comprising approximately 50%–60% of the population, often lack access to these services. The Society for Nutrition, Education, and Health Action (SNEHA) operates within urban slums, aiming to enhance health outcomes for mothers and children. At SNEHA, we firmly believe that a healthy society starts with the well-being of mothers and infants. Our organization is dedicated to empowering communities to improve the health status of newborns in urban slums. Material and Methods: As part of the intervention, 7819 households with a population of 35,000 were targeted. SNEHA’s field workers conducted regular visits to these households, providing counseling on breastfeeding immunization and identifying potential health risks. Married women of reproductive age were specifically identified and consistently educated about the significance of early pregnancy registration. Pregnant women received support for registering their pregnancies, attending regular antenatal care (ANC) check-ups, adhering to ANC visit schedules, and maintaining adequate iron, calcium, and nutrition intake. Additionally, they were informed about the advantages of institutional delivery and encouraged to prepare for childbirth. Mothers of children under 2 years were urged to bring them to primary health centers for routine immunizations. Furthermore, they were advised on contraception methods to ensure proper spacing between children. Results: Our endeavors have resulted in a 34% rise in early pregnancy registration, a 22% increase in the number of women attending four antenatal check-ups, an 11% uptick in institutional deliveries, a 24% improvement in exclusive breastfeeding rates, and a notable 67% surge in the prevalence of contraception. Conclusion: Our intervention has proven that it is possible to improve the health indicators of women and children through behavior change communication, regular home visits, and community awareness.

Geospatial and environmental determinants of stunting, wasting, and underweight: Empirical evidence from rural South and Southeast Asia

ObjectiveChild malnutrition, comprising of undernutrition and obesity, is a global concern with severe implications for survival, leading to acute and chronic diseases that adversely affect the productivity of individuals and society. Asia shoulders the greatest burden, with 7 out of 10 undernourished children residing in the region. Despite the decline in global child stunting, particularly in Asia, its prevalence remains significant. In 2017, an estimated 151 million children under five experienced stunting, and an additional 38 million were overweight, with Africa and Asia accounting for 25% and 46% of the global figures, respectively. Therefore, this paper aims to analyze the geospatial and environmental determinants of undernutrition in rural South and Southeast Asia. MethodsTo explore the geospatial and environmental determinants of undernutrition (stunting, wasting, and underweight), we use Poisson regression and the data from recent rounds of the Demographic and Health Survey (DHS) from India, Bangladesh, Pakistan, Nepal, Cambodia, and Timor-Leste. ResultsThis study found a high prevalence of stunting, wasting, and underweight among children aged 0 to 59 months in rural areas of South and Southeast Asia, with considerable variation between countries and clusters/primary sampling units. Results show a positive association between child malnutrition and factors such as maternal illiteracy, unsafe drinking water, and dirty cooking fuel in South and Southeast Asia. Children from impoverished households in India, Pakistan, and Cambodia were disproportionately affected. In addition to socio-economic factors, climatic risks such as temperature increase and rainfall variations also emerged as important determinants of child malnutrition in India, Bangladesh, and Timor-Leste. ConclusionsThis paper emphasizes the role of environmental and climatic factors on child nutrition, underscoring their significance regardless of socio-economic conditions. As the impacts of climate change continue to intensify, and agrarian societies bear the brunt, these factors will play a critical role in shaping child nutritional outcomes. Thus, amid growing climate change, nutritional security should be prioritized, considering the spatial domain and targeting climate distress areas along with other socio-economic and demographic aspects.