Regional with urban-rural variation in low birth weight and its determinants of Indian children: findings from National Family Health Survey 5 data.

BACKGROUND: Low birth weight is a key indicator for child health, especially a concern in low-middle-income countries. However, health and medically-related reforms are being actively implemented in some middle-income countries like India. Identifying low birth weight (LBW) babies with their determinants across the whole country is essential to formulate regional and area-specific interventions. The objective of this study was to find out the burden and determinants of LBW on the regional and residential (rural-urban) divisions of India. METHODS: The present study was based on the NFHS-5 dataset (2019-21), a nationally representative survey in India. A total of 209,223 births were included in this study. A newborn weighing less than 2500 g was considered as LBW. According to the objectives, we used frequency distribution, chi-square test and binary logistic regression analysis for analysing the data. RESULTS: About 18.24% of the babies were LBW in India, significantly higher in rural areas than in urban areas (18.58% vs 17.36%). Regionally prevalence was more frequent in western (20.63%) and central (20.16%) rural areas. Regarding maternal concerns, in the eastern and southern regions of India, mothers aged 25-34 were less likely to have LBW children than mothers aged 35-49 years. It was found that the risk of LBW was more likely among the children born out of unintended pregnancies in almost all regions except for eastern part. In rural India, women who delivered children at home were more likely to have LBW children in India (AOR = 1.19, CI: 1.12-1.28, p < 0.001) and its central, northern, and southern regions than those who gave birth in institutions. The study indicates that LBW coexists with lower maternal education levels and poor household wealth index across all regions. About 58% and 57% of cumulative effects of independent variables on LBW can be distinguished in urban and rural India, respectively. CONCLUSIONS: Targeted-specific strategies need to be undertaken as per region and geographical variations. Then only India should be able to decline LBW as proposed by National Health Policy.

Factors associated with full vaccination and zero vaccine dose in children aged 12-59 months in 6 health districts of Cameroon.

BACKGROUND: Routine immunisation coverage in Cameroon is still below the target of the national Expanded Programme on Immunisation (EPI), with only 42% of children fully immunised according to Demographic and Health Survey (DHS) report in 2018. The objective of this study was to evaluate factors associated with full immunisation and zero-dose in Cameroonian children. METHODS: A two-stage cross-sectional cluster survey was conducted in Yaoundé in November 2021, targeting children aged 12-59 months. The clusters were chosen with probability proportionate to population size (PPS), and households selected by restricted sampling technique. Data were collected from the vaccination card of the child or from parents' recall, if the card was not available, using electronic forms with tablets. Using R (version 4.1.0.), the proportion of fully immunised children was calculated. The household wealth index was described using principal component analysis, and factors associated with full immunisation assessed with multiple logistics regression. The threshold of statistical significance was set at 5%. FINDINGS: A total, 273 children aged 12-59 months enrolled; 37% of participants were fully immunised, and 16% had never received any vaccine. Mother's level of education: Primary (OR = 3.59, p = 0.0200), high school (OR = 3.68, p = 0.0400*), and higher education (OR = 8.25, p = 0.0018), and sharing household with biological father (OR = 2.11, p = 0.0305) were significantly associated with full vaccination. Living in a richer (3rd-5th wealth quintiles) household (OR = 0.25, p = 0.0053); mother's education: Primary (OR = 0.07, p = 0.0271) and Higher education (OR = 0.10, p = 0.0419), living with the mother (OR = 0.05, p = < 0.0001) and living with the father (OR = 0.22, p = 0.0253) had significant negative association with zero-dose in children. CONCLUSION: The proportion of fully vaccinated children in Yaounde is lower than the national average. Children from poor homes and those borne by uneducated mother have higher odds of not being vaccinated. Immunisation programmes in Yaounde need to be stepped up to improve coverage. Equally, there is a need to reconsider how the poor can the better reached with immunisation services.

Health, wealth, and medical expenditures among the elderly in rural Tanzania: experiences from Nzega and Igunga districts.

BACKGROUND: The per capita health expenditure (HE) and share of gross domestic product (GDP) spending on elderly healthcare are expected to increase. The gap between health needs and available resources for elderly healthcare is widening in many developing countries, like Tanzania, leaving the elderly in poor health. These conditions lead to catastrophic HEs for the elderly. This study aimed to analyse the association between measures of health, wealth, and medical expenditure in rural residents aged 60 years and above in Tanzania. METHODS: The data of this study were collected through a cross-sectional household survey to residents aged 60 years and above living in Nzega and Igunga districts using a standardised World Health Organization (WHO) Study on Global Ageing and Adult Health (SAGE) and European Quality of Life Five Dimension (EQ-5D) questionnaires. The quality of life (QoL) was estimated using EQ-5D weights. The wealth index was generated from principal component analysis (PCA). The linear regression analyses (outpatient/inpatient) were performed to analyse the association between measures of health, wealth, medical expenditure, and socio-demographic variables. RESULTS: This study found a negative and statistically significant association between QoL and HE, whereby HE increases with the decrease of QoL. We could not find any significant relationship between HE and social gradients. In addition, age influences HE such that as age increases, the HE for both outpatient and inpatient care also increases. CONCLUSION: The health system in these districts allocate resources mainly according to needs, and social position is not important. We thus conclude that the elderly of lower socio-economic status (SES) was subjected to similar health expenditure as those of higher socio-economic status. Health, not wealth, determines the use of medical expenditures.

Link between unmet need and economic status in Bangladesh: gap in urban and rural areas.

BACKGROUND: Unmet need for family planning (FP) is a core concept in designing FP programmes and reduction of unmet need for FP can improve reproductive and maternal health services. Bangladesh is still away from achieving the target regarding unmet need for FP. This study aimed to explore the composite effect of economic status and place of residence on unmet need for FP among currently married women of reproductive age in Bangladesh after controlling the effect of other selected covariates. METHODS: The study used the data extracted from the Bangladesh Demographic and Health Survey (BDHS) 2017-2018, which is a nationally representative survey implemented using a stratified two-stage cluster sample design. A total of 13,031 currently married women of reproductive age were included in the final analysis. Binary logistic regression model has been employed to identify the factors influencing the unmet need for FP. Model-I investigated the effect of composite variable place-wealth on unmet need for FP and Model-II examined the effect of place-wealth on unmet need for FP after adjusting for the effect of other selected covariates. The Odds Ratios with p-values were reported to identify significant covariates. RESULTS: The rate of unmet need for FP was 15.48%. The composite factor of economic status and place of residence had significant influence on unmet need for FP in both models. Generally, rural women were significantly more likely to have unmet need for FP than their urban counterparts. In particular, women from rural areas and belong to rich families had the highest likelihoods of unmet need for FP. The other selected covariates also had significant influence on unmet need for FP. CONCLUSION: This study shows that rural women had higher odds of unmet need for FP than urban women. The healthcare providers and stakeholders should take necessary actions to motivate women to use contraceptive specially the women who are residing in the rural areas.

A study on factors leading to poor mental health of children in Punjab, Pakistan.

In this article, the several factors have been investigated relating to the poor mental health of the children in Punjab, Pakistan. Using the data of the survey conducted by the Punjab Bureau of Statistics, different determinants of child malnutrition and poverty were diagnosed based upon sufficient information of the children under 5 year of age. Logistic regression analysis methodology has been applied for screening the most influential factors of the study. It has been observed that the rise in poverty has prejudiced the nutritional position of the children, the mother's education, and the fitness of the youth. It has also been observed that male children are more at risk to poor mental health than female children. A number of policy issues came to light from the findings of the study. The wealth index of all three anthropometric measures, the child malnutrition status of uneducated mothers, and the child diarrhea menace are the significant areas.

Is the lack of smartphone data skewing wealth indices in low-income settings?

BACKGROUND: Smartphones have rapidly become an important marker of wealth in low- and middle-income countries, but international household surveys do not regularly gather data on smartphone ownership and these data are rarely used to calculate wealth indices. METHODS: We developed a cross-sectional survey module delivered to 3028 households in rural northwest Burkina Faso to measure the effects of this absence. Wealth indices were calculated using both principal components analysis (PCA) and polychoric PCA for a base model using only ownership of any cell phone, and a full model using data on smartphone ownership, the number of cell phones, and the purchase of mobile data. Four outcomes (household expenditure, education level, and prevalence of frailty and diabetes) were used to evaluate changes in the composition of wealth index quintiles using ordinary least squares and logistic regressions and Wald tests. RESULTS: Households that own smartphones have higher monthly expenditures and own a greater quantity and quality of household assets. Expenditure and education levels are significantly higher at the fifth (richest) socioeconomic status (SES) quintile of full model wealth indices as compared to base models. Similarly, diabetes prevalence is significantly higher at the fifth SES quintile using PCA wealth index full models, but this is not observed for frailty prevalence, which is more prevalent among lower SES households. These effects are not present when using polychoric PCA, suggesting that this method provides additional robustness to missing asset data to measure underlying latent SES by proxy. CONCLUSIONS: The lack of smartphone data can skew PCA-based wealth index performance in a low-income context for the top of the socioeconomic spectrum. While some PCA variants may be robust to the omission of smartphone ownership, eliciting smartphone ownership data in household surveys is likely to substantially improve the validity and utility of wealth estimates.

Educational Assortative Mating in Sub-Saharan Africa: Compositional Changes and Implications for Household Wealth Inequality.

Sub-Saharan Africa (SSA) is undergoing rapid transformations in the realm of union formation in tandem with significant educational expansion and rising labor force participation rates. Concurrently, the region remains the least developed and most unequal along multiple dimensions of human and social development. In spite of this unique scenario, never has the social stratification literature examined patterns and implications of educational assortative mating for inequality in SSA. Using 126 Demographic and Health Surveys from 39 SSA countries between 1986 and 2016, this study is the first to document changing patterns of educational assortative mating by marriage cohort, subregion, and household location of residence and relate them to prevailing sociological theories on mating and development. Results show that net of shifts in educational distributions, mating has increased over marriage cohorts in all subregions except for Southern Africa, with increases driven mostly by rural areas. Trends in rural areas align with the status attainment hypothesis, whereas trends in urban areas are consistent with the inverted U-curve framework and the increasing applicability of the general openness hypothesis. The inequality analysis conducted through a combination of variance decomposition and counterfactual approaches reveals that mating accounts for a nonnegligible share (3% to 12%) of the cohort-specific inequality in household wealth, yet changes in mating over time hardly move time trends in wealth inequality, which is in line with findings from high-income societies.

Bivariate binary analysis on composite index of anthropometric failure of under-five children and household wealth-index.

BACKGROUND: Malnutrition is the most common cause of mortality and morbidity of children in low and middle income countries including Ethiopia and household wealth index shares the highest contribution. Thus, in this study it is aimed to conduct bivariate binary logistic regression analysis by accounting the possible dependency of child composite index anthropometric failure and household wealth index. METHODS: In this study the data from Ethiopian Demographic and Health Survey (EDHS) 2016 involved 9411 under five children was considered. Child Composite Index Anthropometric Failure (CIAF) measures the aggregate child undernourished derived from the conventional anthropometric indices (stunting, underweight and wasting). The correlation between CIAF and wealth index was checked and significant correlation found. To address the dependency between the two outcome variables bivariate binary logistic regression was used to analyze the determinants of child CAIF and household wealth index jointly. RESULTS: Study results show that region, place of residence, religion, education level of women and husband/partner, sex of child, source of drinking water, household size and number of under five children in the household, mothers body mass index, multiple birth and anemia level of child had significant association with child CIAF. Female children were 0.82 times less likely to be CIAF compared to male and multiple birth children were more likely to be CIAF compared to single birth. Children from Oromia, Somalie, Gambela, SNNPR, Harari and Addis Ababa region were 0.6, 0.56, 0.67, 0.52, 0.6 and 0.44 times less likely to be CIAF compared to Tigray. A household from rural area were 15.49 times more likely poor compared to a household. The estimated odds of children whose mothers attended primary, and secondary and higher education was 0.82, and 0.52 times respectively the estimated odds of children from mothers who had never attended formal education. CONCLUSION: The prevalence of children with composite index anthropometric failure was high and closely tied with the household wealth index. Among the determinants, region, religion, family education level, and anemia level of child were statistically significant determinants of both CIAF and household wealth index. Thus, the authors recommend to concerned bodies and policymakers work on household wealth index to reduce the prevalence of child composite anthropometric failure.

Socio-economic inequalities in the association between alcohol use disorder and depressive disorder among Thai adults: a population-based study.

BACKGROUND: Previous evidence indicates significant associations between depressive disorders and alcohol use disorder (AUD) and their strong links with social conditions. This study aims to investigate the association between major depressive episode (MDE) and AUD across various socio-economic groups. METHODS: We analysed data from the 2014 Thai National Health Examination Survey containing a random sample of 13,177 adults aged > 20 years from the general population. The Alcohol Use Disorder Identification Test was used to classify respondents into non-problem drinking (score 0-7), hazardous drinking (score 8-15), and harmful-dependent drinking (score 16-40). MDE was identified using questions based on the DSM-IV. Adjusted odds ratios (AOR) and 95% confidence intervals (CI) were calculated using multinomial logistic regression to determine the strength of associations between MDE as a predictor and AUD as an outcome variable across different socio-economic levels. RESULTS: The prevalence of MDE, hazardous, and harmful-dependent drinking was 2.5, 10.3, and 1.9%, respectively. The association between MDE and AUD was modified by wealth index, education level and area of residence. AORs for the association between MDE and harmful-dependent drinking were high among those in the highest (AOR = 8.68, 95% CI: 5.34, 14.11) and lowest (AOR = 7.14, 95% CI: 3.71, 13.73) levels of wealth index but not significant among those in the middle level (AOR = 1.78, 95% CI: 0.74, 4.25). Education had the strongest effect on the relationship between MDE and harmful-dependent drinking (AOR = 16.0, 95% CI: 10.30, 24.90 among those completing secondary school or higher and AOR = 1.44, 95% CI: 0.63, 3.33 among those completing primary school only). The association between MDE and harmful-dependent drinking was higher among people who lived in urban areas (AOR = 8.50, 95% CI: 5.50, 13.13) compared to those living in rural areas (AOR = 4.73, 95% CI: 3.31, 6.77). CONCLUSION: Socio-economic factors modify the association between alcohol use disorder and major depressive disorder among Thai people.

Socioeconomic and demographic factors determining the underweight prevalence among children under-five in Punjab.

BACKGROUND: Underweight prevalence continues to be major public health challenge worldwide, particularly in developing countries like Pakistan. This study is focused on socio-economic and demographic aspects of underweight prevalence among children under-five in Punjab. METHODS: In this study, several socioeconomic and demographic factors are considered using MICS-4 data-set. Only those variables which are usually described in the nutritional studies of children were picked. Covariates include: the age of children, sex of the children, age of mother, total number of children born to women, family wealth index quintile, source of drinking water, type of sanitation, place of residence, parents' education and occupation. All Categorical variables are effect coded. The child's age and the mother's age are assumed to be nonlinear, geographical region is spatial effect, while other variables are parametric in nature. Since, the response is binary, covariate comprises linear terms, nonlinear effects of continues covariates and geographic effects, so we have use Geo-additive models (based on Fully Bayesian approach) with binomial family under logit link. Statistical analysis is performed on Statistical package R using Bayes X and R2 Bayes X Libraries. RESULTS: Underweight status of children was found to be positively associated with number of under-five children in household, total number of children ever born to women and age of mother when the child was born. Whereas, it negatively associated with place of residence, parent's education and family wealth index quintile. On the regional effect, the Southern Punjab has higher prevalence of underweight compared to Central and Northern Punjab. CONCLUSION: Similarity of our results with several other studies demonstrate that the Geo-additive models are an ideal substitute of other statistical models to analyze the underweight prevalence among children. Moreover, our findings suggest the Punjab Government, to introduce target-oriented programs such as poverty reduction and enhancement of education and health facilities for poor population and disadvantaged regions, especially Southern Punjab.

The state of enrollment on the National Health Insurance Scheme in rural Ghana after eight years of implementation.

BACKGROUND: In 2004, Ghana implemented a national health insurance scheme (NHIS) as a step towards achieving universal health coverage. In this paper, we assessed the level of enrollment and factors associated with NHIS membership in two predominantly rural districts of northern Ghana after eight years of implementation, with focus on the poor and vulnerable populations. METHODS: A cross-sectional survey was conducted from July 2012 to December 2012 among 11,175 randomly sampled households with their heads as respondents. Information on NHIS status, category of membership and socio-demographic characteristics of household members was obtained using a structured questionnaire. Principal component analysis was used to compute wealth index from household assets as estimates of socio-economic status (SES). The factors associated with NHIS enrollment were assessed using logistic regression models. The reasons behind enrollment decisions of each household member were further investigated against their SES. RESULTS: Approximately half of the sampled population of 39,262 were registered with a valid NHIS card; 53.2% of these were through voluntary subscriptions by payment of premium whilst the remaining (46.8%) comprising of children below the ages of 18 years, elderly 70 years and above, pregnant women and formal sector workers were exempt from premium payment. Despite an exemption policy to ameliorate the poor and vulnerable households against catastrophic health care expenditures, only 0.5% of NHIS membership representing 1.2% of total exemptions granted on accounts of poverty and other social vulnerabilities was applied for the poor. Yet, cost of premium was the main barrier to NHIS registration (92.6%) and non-renewal (78.8%), with members of the lowest SES being worst affected. Children below the ages of 18 years, females, urban residents and those with higher education and SES were significantly more likely to be enrolled with the scheme. CONCLUSIONS: Despite the introduction of policy exemptions as an equity measure, the poorest of the poor were rarely identified for exemption. The government must urgently resource the Department of Social Welfare to identify the poor for NHIS enrollment.

Household food insecurity in Panamanian subsistence farming communities is associated with indicators of household wealth and constraints on food production.

OBJECTIVE: To determine if constraints on agricultural production were a novel construct in the Panama Food Security Questionnaire (FSQ) and to characterize agricultural and economic determinants of food insecurity during the planting, growing and harvesting time periods in subsistence farming communities. DESIGN: This longitudinal study followed households during land preparation, growing and harvest periods in one agricultural cycle. Agricultural production and economic variables were recorded and the Panama FSQ was administered. Exploratory factor analysis was used to verify construct validity of the FSQ. A food insecurity score (FIS), ranging from 0 to 42, was derived. Multiple regression analyses of FIS were conducted for each agricultural period. SETTING: Fifteen rural villages in Panama. PARTICIPANTS: Subsistence farming households (n 237). RESULTS: The FSQ contained four constructs: (i) ability to buy food; (ii) decreased amount/number of meals; (iii) feeling hungry; and (iv) lower agricultural production because of weather or lack of resources. Although most households were mildly food insecure in all time periods, determinants of food insecurity differed in each. Higher FIS was associated during land preparation with less rice and legumes planted and lower asset-based wealth; during growing months with less rice, more maize and pigeon peas planted and not selling produce; and during harvest with less rice planted, fewer chickens and lower income. CONCLUSIONS: Constraints on agriculture was a novel construct of the Panama FSQ. Different income-related variables emerged in each agricultural period. Planting staple foods and raising chickens were associated with food security, but some crop choices were associated with food insecurity.

Proximate determinants of fertility in Ethiopia; an application of revised Bongaarts model.

BACKGROUND: World population is growing at about 80 million people each year. Ethiopia is the 12th most populous country in the world. Existing literatures showed that the role of proximate determinants in inhibiting the total fertility has not yet been determined from the DHS data in the country. This study may provide evidence based information regarding the observed changes in total fertility. The objective of this study was assessing proximate determinants of fertility and the role of selected socio-economic variables in influencing fertility in Ethiopia. METHODS: The EDHS data of 2011 and 2016 were used in our study. A total of 16,515 eligible women included in 2011 and 15,683 in 2016 surveys made up the sample for the study. The roles of each of the four proximate determinants in declining fertility have been determined. The background variables selected for the analysis include: region of residence, educational status, wealth index and place of residence. The Bongaart model is used to explain the observed socio-economic differentials in fertility during the two survey years. RESULTS: In 2011, index of marriage inhibited fertility by 37.8%, however in 2016 it inhibited fertility by 34.4%. In 2011, contraceptive use reduced fertility by 28.5% while in 2016 it reduced fertility by 30.7%. The index of postpartum infecundity decreased fertility by 34.7% in 2011 and by 34.5% in 2016. Foetal wastage inhibited fertility by 9.2% in both survey years. The total fertility rate in 2016 was 4.14 whereas the projected total fertility in 2020 will be 3.2 children per woman. CONCLUSION: Among the four proximate determinants of fertility, the contribution of index of marriage was the highest in inhibiting fertility in 2011. On the other hand, the contribution of postpartum infecundability was the highest in inhibiting fertility in 2016. The contribution of the index of contraceptive in inhibiting fertility increased from 28.5% in 2011 to 30.7% in 2016. The index of foetal wastage contributed the least in both 2011 and 2016 survey years. Therefore, strategies have to be designed to promote the contraceptive use and breast feeding practices among the reproductive women.

Inequity in the utilization of antenatal and delivery care in Yangon region, Myanmar: a cross-sectional study.

BACKGROUND: Equity of access to and utilization of healthcare across socio-economic groups is important to achieve universal health coverage. Although the utilization of antenatal and delivery care has been increasing in low- and middle-income countries, inequities in the utilization of antenatal and delivery care have been reported in many countries, but have not yet been studied in Myanmar. This study aimed to determine whether inequities in the utilization of antenatal and delivery care existed in Yangon region, Myanmar. METHODS: A community-based cross-sectional survey using multistage sampling was conducted from October to November 2016. A wealth index was selected as the main socioeconomic parameter for measuring inequities with respect to early initiation of antenatal care (ANC), number of antenatal care visits, delivery by a skilled birth attendant (SBA) and delivery by cesarean section (CS). Inequities were evaluated using concentration curves and concentration indexes. RESULTS: Of the 762 women who gave birth within the 12-month survey period, there was no evidence of inequity in utilization of ANC; however, inequity of at least one antenatal visit among women aged less than 20 years was found with a concentration index of 0.04. The concentration indexes for delivery by SBA and CS were 0.05 and 0.14, respectively. Delivery by CS was disproportionately higher in adolescents and women with higher education than middle school. CONCLUSION: There was no overall inequity in the utilization of ANC but substantial inequities in delivery by CS and SBA were shown. Social determinants of health, particularly age and education, were associated with inequities in the utilization of delivery care. Adolescent pregnant women were found to be particularly vulnerable, and thus should be a target group for strategic plans to reduce inequities in utilization of delivery care.

Factors associated with malnutrition among children <5 years old in Burkina Faso: evidence from the Demographic and Health Surveys IV 2010.

OBJECTIVE: To assess the factors associated with malnutrition among children <5 years in Burkina Faso. DESIGN: This study was based on secondary analysis of cross-sectional population-based data from Burkina-Faso Demographic Health Surveys 2010. SETTING: This study was carried out in Burkina Faso, West Africa. PARTICIPANTS: The participants were 6337 children <5 years and their mothers. MAIN OUTCOME MEASURES: Demographic characteristics, child nutrition and health status, and maternal and household information were collected. Survey-specific SAS procedures for weighting, clustering and stratification in the survey design were used. The distribution of different nutritional status, such as underweight, stunting and wasting and the effects of risk factors on malnutrition was analyzed. RESULTS: Out of 6337 children <5 years, 51.0% of children were male and 57.8% of children had an average size at birth. There were 15.6, 21.5 and 10.6% of children who recently suffered from diarrhea, fever and acute respiratory infection, respectively. Child sex, age, size at birth, child morbidity, mother's education and body mass index and household wealth index were significantly associated with undernutrition among children <5 years in Burkina Faso. CONCLUSIONS: In addition to the improvement of household wealth index, more health and nutritional education for mothers should be implemented by the government to improve health and nutritional status of children <5 years in Burkina Faso.

The risk of misclassifying subjects within principal component based asset index.

The asset index is often used as a measure of socioeconomic status in empirical research as an explanatory variable or to control confounding. Principal component analysis (PCA) is frequently used to create the asset index. We conducted a simulation study to explore how accurately the principal component based asset index reflects the study subjects' actual poverty level, when the actual poverty level is generated by a simple factor analytic model. In the simulation study using the PC-based asset index, only 1% to 4% of subjects preserved their real position in a quintile scale of assets; between 44% to 82% of subjects were misclassified into the wrong asset quintile. If the PC-based asset index explained less than 30% of the total variance in the component variables, then we consistently observed more than 50% misclassification across quintiles of the index. The frequency of misclassification suggests that the PC-based asset index may not provide a valid measure of poverty level and should be used cautiously as a measure of socioeconomic status.

Poor coverage of quality-adjusted antenatal care services: a population-level assessment by visit and source of antenatal care services in Bihar state of India.

Background: Despite the evidence on the poor quality of antenatal care (ANC) services, significant gap remains in the understanding of quality-adjusted coverage at the population-level for each ANC visit and by the source of ANC services, and in equity in this coverage. Methods: All births between July 2020 and June 2021 were listed from 261,124 households (91.5% participation) representative of the Bihar state. Mothers of all stillbirths and neonatal deaths, and of 25% random sample of livebirths who survived the neonatal period provided data on each ANC visit up to a maximum of first 4 ANC visits, including the source of ANC services and the services received (weight measurement, blood pressure checked, abdomen checked, urine sample taken, and blood sample taken). An ANC visit was deemed of quality if all of these services were received in that visit. We report the coverage of quality-adjusted ANC services (Q-ANC) for ANC visits 1-4 disaggregated by source of ANC services and wealth index (WI). Weighted proportions are reported to take into account the sampling design. Findings: A total of 30,412 births were reported by 29,517 women, and 7270 (82.1%) of the 8853 eligible women participated. Overall, 19,950 unique ANC visits from 6929 women were available for analysis, of which 41.7%, 13.8% and 44.5% were at Village Health and Nutrition Day (VNHD), public facility, and with a private provider, respectively. A total of 4409 (65.3%) of the 1st ANC visits were undertaken at VHND, with the proportion of private provider ANC visits increasing significantly from ANC visit 1 to ANC visit 4 (p < 0.001). Q-ANC coverage considering all ANC visits was 20.9% (95% CI 20.7-21.2); and was 0.9% (95% CI 0.8-1.0), 29.9% (95% CI 29.2-30.7) and 36.9% (95% CI 36.5-37.4) for ANC visits in VHND, public facilities, and with private provider, respectively. Q-ANC coverage in the public facility was significantly lower in the 4th ANC visit (25.1%; 95% CI 23.4-26.9) as compared with visits 1 to 3, whereas it was the highest for 1st ANC visit with private provider (50.2%; 95% CI 49.2-51.1) and then dropped for visits 2 to 4. Irrespective of the source of ANC services, Q-ANC coverage increased significantly with increasing WI quartile for ANC visits 1 and 2, with WI quartile 3 women having significantly less coverage for ANC visit 3 compared to the rest, and no significant difference seen in the coverage of ANC 4 visit. Varied pattern of Q-ANC coverage by WI for each ANC visit was seen for public facility and private provider visits. Interpretation: With only 2 of 10 ANC visits deemed of adequate quality, sustainable delivery of quality ANC services are needed for every pregnant woman through-out the pregnancy irrespective of gestation period, number of ANC visit, and source of ANC services. Funding: The funding was provided by the India office of the Bill & Melinda Gates Foundation, USA.

Justification of Intimate Partner Violence among Women in Nigeria: How Does it Differ by Socioeconomic Status?

Intimate partner violence (IPV) is a significant challenge that has a profound impact on women, and a contributing factor to its high prevalence is the justification of IPV. Various research works have shown that women's socioeconomic status (SES) is connected to IPV justification. The major objective of this study is to investigate the socioeconomic disparities in justification of IPV by women in Nigeria. The study involved an analysis of the 2018 Nigeria Demographic and Health Survey data using a sample comprising 116,958 women. The study utilized chi-square tests and logistic regression as the classical test, and the Bayesian Regression Model in Stan for its analysis. The results were presented using odds ratios along with the 95% confidence limits. The study found that the occurrence of IPV justification by women in Nigeria stood at 32.9%. Additionally, it shows a significant but weak relationship between women's age and the justification of IPV. Controlling for covariates, women who lacked formal education possess a higher likelihood of justifying IPV with a 54% increase in odds in comparison to women with a higher education level. The study also found that women in the poorest wealth category had a 17% increase in odds of justifying IPV compared to women in the middle-class category, indicating a concerning trend of tolerance toward domestic violence among women with lower SES. IPV has detrimental effects on women and their children. To combat this issue, programs aimed at contextualizing IPV, improving women's SES, advocating for the end of IPV, and empowering women are highly important. Ultimately, IPV is unjustifiable, regardless of the rationale behind it, and action is needed to reduce the victimization of women within our societies.

Factors associated with child and maternal dietary diversity in the urban areas of Bangladesh.

Dietary diversity is an indicator of nutrition that has been found positively associated with diet quality, micronutrient adequacy, and improved maternal health and child growth. Due to the cultural responsibility of women in providing food at the household level, their status is very important to perform this role. Hence, this study has been conducted on the status of dietary diversity of the mother and child to understand how it relates to various factors of women in urban settings. Data were obtained from 1978 mother-child pairs living in different cities in Bangladesh. The foods taken by the women and children were categorized into 10 and 7 groups to measure women's dietary diversity (WDD) and children's dietary diversity (CDD), respectively. The study found that more than three-fourths of the mothers and half of the children had low dietary diversity. The household wealth holdings and access to resources by the women were found inadequate, while two-thirds of them had the lowest to medium level of nutritional knowledge. The binomial logistic regression model was used to measure the factors influencing WDD and CDD. The findings also indicated that children's dietary diversity was influenced by the mother's age, education, supportive attitude and behavior of husband, and access to and control over resources. While the household wealth index can enhance both child and mother's dietary variety, nutrition knowledge, dietary counseling, and access to and control over resources can improve maternal dietary diversity. This study recommends improving women's socioeconomic status by increasing their wealth and access to resources and enhancing their nutrition knowledge by providing food and nutrition counseling.

Individual- and community-level determinants of maternal health service utilization in southern Ethiopia: A multilevel analysis.

BACKGROUND: Maternal health service utilization decreases maternal morbidity and mortality. However, the existing evidence is inadequate to design effective intervention strategies in Ethiopia. OBJECTIVES: This study aimed to examine the utilization of maternal health service and identify its determinants among women of reproductive age in southern Ethiopia. DESIGN: A community-based cross-sectional study was conducted from October 21 to November 11, 2022 on a sample of 1140 women selected randomly from the Northern Zone of the Sidama region. METHODS: Data were collected using the Open Data Kit mobile application and exported to Stata version 15 for analysis. We used a multilevel mixed-effects modified Poisson regression with robust standard error to identify determinants of maternal health service utilization. RESULTS: Utilization of antenatal care, health facility delivery, and postnatal care was 52.0% (95% confidence interval: 49.0%, 55.0%), 48.5% (95% confidence interval: 45.6%, 51.4%), and 26.0% (95% confidence interval: 23.0%, 29.0%), respectively. Antenatal care use was associated with receiving model family training (adjusted prevalence ratio: 1.19; 95% confidence interval: 1.06, 1.35), knowledge of antenatal care (adjusted prevalence ratio: 1.54; 95% confidence interval: 1.31, 1.81), perceived quality of antenatal care (adjusted prevalence ratio: 1.02; 95% confidence interval: 1.01, 1.03), and having birth preparedness plan (adjusted prevalence ratio: 1.13; 95% confidence interval: 1.02, 1.25). The identified determinants of health facility delivery use were middle wealth rank (adjusted prevalence ratio: 1.35; 95% confidence interval: 1.03, 1.77), perceived quality of health facility delivery (adjusted prevalence ratio: 1.02; 95% confidence interval: 1.01, 1.03), antenatal care (adjusted prevalence ratio: 1.76; 95% confidence interval: 1.36, 2.26), and high community-level women literacy (adjusted prevalence ratio: 1.55; 95% confidence interval: 1.10, 2.19). Postnatal care use was associated with facing health problems during postpartum period (adjusted prevalence ratio: 1.79; 95% confidence interval: 1.18, 2.72), urban residence (adjusted prevalence ratio: 3.52; 95% confidence interval: 2.15, 5.78), knowledge of postnatal care (adjusted prevalence ratio: 1.11; 95% confidence interval: 1.04, 1.19), and low community-level poverty (adjusted prevalence ratio: 0.43; 95% confidence interval: 0.25, 0.73). CONCLUSION: Maternal health service use was low in the study area and was influenced by individual- and community-level determinants. Any intervention strategies must consider multi-sectorial collaboration to address determinants at different levels. The programs should focus on the provision of model family training, the needs of women who have a poor perception, and knowledge of maternal health service at the individual level.