Time use patterns and household adversities: A lens to understand the construction of gender privilege among children and adolescents in India.

We investigate gender differences in time-use patterns in 1891 children and assess how time is reallocated in response to challenges faced by households in India. We use adaptations made within a household during adversities to understand how gender inequality in time use is produced and reinforced. Using three waves of the Young Lives Panel Survey (2009, 2013, and 2016), we find that boys spend significantly more time on school and leisure than girls. Girls spend more time on household chores, care work, and studying at home than boys while spending fewer hours on school and leisure. Girls perform paid work during household adversities besides carrying out additional care work and household chores. Boys are more likely to engage in unpaid work than girls but are similarly affected in other domains. However, their time for education and leisure is often protected. Thus, girls labor more than boys daily and respond in equal measure during adversities, demonstrating that gender inequality in time use emerges at an early age.

Adolescent pregnancy, maternal and child anaemia: Empirical analysis from India, Bangladesh, and Nigeria.

Early childbearing poses several potential risks to maternal and child health. This paper empirically analyses the association between teenage pregnancy and child nutritional status, maternal and child anaemia in three countries (Nigeria, India and Bangladesh) that account for the highest proportion of teenage births and/or total number of malnourished teenage mothers and children. Data were sourced from nine waves of Demographic and Health Surveys conducted in Bangladesh, India, and Nigeria from 2005-2018, covering a sample of 27,705 children from Bangladesh, 266,308 children from India and 54,719 children from Nigeria. Our outcome measures of maternal and child nutrition include (i) a composite measure of anthropometric failure for children (CIAF), (ii) maternal anaemia, (iii) childhood anaemia, and (iv) anaemia in maternal-child pairs. Using multivariate regression analysis, we examine the associations between early childbirth, child nutrition, and maternal and child anaemia, controlling for an array of household-level socioeconomic and demographic characteristics. Across all three countries, the prevalence of CIAF (childhood anthropometric failure) is significantly higher among children born to women aged below 17 at first birth. We further find that early pregnancy and childbearing are associated with significantly higher rates of severe/moderate anaemia among both mothers and children in Bangladesh and Nigeria. In the three countries studied, the proportions of teenage mothers with vulnerable socioeconomic status and suboptimal pre-conception care are relatively high, which raises the risk of maternal and child morbidity as well as mortality.

Caesarean deliveries, subsequent reproductive behaviour and children ever born in India.

Against the backdrop of the alarming rise in Caesarean section (C-section) births in India, this study aimed to examine the association between C-section births, fertility decline and female sterilization in the country. A cross-sectional design was used to investigate the association between C-section delivery and subsequent reproductive behaviour in women in India. Data were from the National Family Health Survey (NFHS-4). The study sample comprised 255,726 currently married women in the age group of 15-49 years. The results showed a strong positive relationship between C-section births and female sterilization. The predicted probabilities (PP) from the multivariate regression model indicated a higher chance of female sterilization in women with C-section births (PP = 0.39, p<0.01) compared with those with non-C-section births (PP = 0.20, p<0.01). Both state-level correlation plots and Poisson regression estimates showed a strong negative relationship between C-section births and mean children ever born (CEB). Based on the results, it may be concluded that the use of C-sections and sterilization were strongly correlated in India at the time of the NFHS-4, thus together contributing to fertility decline. A strong negative association was found between the occurrence of C-sections and CEB. The increased and undesired use of C-section births and consequent female sterilization is a regressive socio-demographic process that often violates women's rights. Fertility decline should happen through informed choice of family planning and must protect the reproductive rights of women.

Exposure to conflicts and the continuum of maternal healthcare: Analyses of pooled cross-sectional data for 452,192 women across 49 countries and 82 surveys.

BACKGROUND: Violent conflicts are observed in many parts of the world and have profound impacts on the lives of exposed individuals. The limited evidence available from specific country or region contexts suggest that conflict exposure may reduce health service utilization and have adverse affects on health. This study focused on identifying the association between conflict exposure and continuum of care (CoC) services that are crucial for achieving improvements in reproductive, maternal, newborn, and child health and nutrition (RMNCHN). METHODS AND FINDINGS: We combined data from 2 sources, the Demographic Health Surveys (DHS) and the Uppsala Conflict Data Program's (UCDP) Georeferenced Event Dataset, for a sample of 452,192 women across 49 countries observed over the period 1997 to 2018. We utilized 2 consistent measures of conflict-incidence and intensity-and analyzed their association with maternal CoC in 4 key components: (i) at least 1 antenatal care (ANC) visit; (ii) 4 or more ANC visits; (iii) 4 or more ANC visits and institutional delivery; and (iv) 4 or more ANC visits, institutional delivery, and receipt of postnatal care (PNC) either for the mother or the child within 48 hours after birth. To identify the association between conflict exposure and components of CoC, we estimated binary logistic regressions, controlling for a large set of individual and household-level characteristics and year-of-survey and country/province fixed-effects. This empirical setup allows us to draw comparisons among observationally similar women residing in the same locality, thereby mitigating the concerns over unobserved heterogeneity. Around 39.6% (95% CI: 39.5% to 39.7%) of the sample was exposed to some form of violent conflict at the time of their pregnancy during the study period (2003 to 2018). Although access to services decreased for each additional component of CoC in maternal healthcare for all women, the dropout rate was significantly higher among women who have been exposed to conflict, relative to those who have not had such exposure. From logistic regression estimates, we observed that relative to those without exposure to conflict, the odds of utilization of each of the components of CoC was lower among those women who were exposed to at least 1 violent conflict. We estimated odds ratios of 0.86 (95% CI: 0.82 to 0.91, p < 0.001) for at least 1 ANC; 0.95 (95% CI: 0.91 to 0.98, p < 0.005) for 4 or more ANC; and 0.92 (95% CI: 0.89 to 0.96, p < 0.001) for 4 or more ANC and institutional delivery. We showed that both the incidence of exposure to conflict as well as its intensity have profound negative implications for CoC. Study limitations include the following: (1) We could not extend the CoC scale beyond PNC due to inconsistent definitions and the lack of availability of data for all 49 countries across time. (2) The measure of conflict intensity used in this study is based on the number of deaths due to the absence of information on other types of conflict-related harms. CONCLUSIONS: This study showed that conflict exposure is statistically significantly and negatively associated with utilization of maternal CoC services, in each component of the CoC scale. These findings have highlighted the challenges in achieving the Sustainable Development Goal 3 in conflict settings, and the need for more concerted efforts in ensuring CoC, to mitigate its negative implications on maternal and child health.

Does engagement with frontline health workers improve maternal and child healthcare utilisation and outcomes in India?

BACKGROUND: Poor Maternal and Child Health (MCH) outcomes pose challenges to India's ability to attain Goal-3 of the Sustainable Development Goals (SDGs). The government of India strengthened the existing network of frontline health workers (FHWs), under its National Rural Health Mission in 2005 and subsequent National Urban Health Mission in 2013 as a strategy to mitigate the shortage of skilled health workers and to provide affordable healthcare services. However, there is a lack of robust national-level empirical analysis on the role of maternal engagement with FHWs in influencing the level of maternal and child health care utilisation and child health outcomes in India. METHODS: Using data from the nationally representative Indian National Family Health Survey (NFHS) 2015-2016, this paper aims to investigate the intensity of engagement of FHWs with married women of child-bearing age (15-49 years), its influence on utilisation of maternal and child healthcare services, and child health outcomes. Our empirical analyses use multivariate regression analyses, focusing on five maternal and child health indicators: antenatal care visits (ANC) (4 or > 4 times), institutional delivery, full-immunisation of children, postnatal care (PNC) (within 2 days of delivery), and child survival. RESULTS: Our analysis finds that maternal engagement with FHWs is statistically significant and a positive predictor of maternal and child health care utilisation, and child survival. Further, the level of engagement with FHWs is particularly important for women from economically poor households. Our robustness checks across sub-samples of women who delivered only in public health institutions and those from rural areas provides an additional confidence in our main results. CONCLUSIONS: From a policy perspective, our findings highlight that strengthening the network of FHWs in the areas where they are in shortage which can help in further improving the utilisation of maternal and child healthcare services, and health outcomes. Also, the role of FHWs in the government health system needs to be enhanced by improving skills, working environment, and greater financial incentives.

Progress in child stunting across the world from 1990 to 2015: testing the global convergence hypothesis.

OBJECTIVE: This study has two-fold objectives: first, to test the global convergence hypothesis in the progress of child stunting across 174 countries over the period 1990-2015; second, to identify factors determining the process of convergence or divergence. DESIGN: The study design comprises macro-level cross-country analyses. Our empirical strategy uses parametric convergence models such as absolute and conditional ß-convergence models, while non-parametric convergence models such as Kernel density plots serve as robustness checks. SETTING: The study uses a global setting comprising child stunting information from 174 countries. PARTICIPANTS: The participants for this study are 174 countries. The information on child stunting prevalence for most countries is available from the UNICEF-WHO-WB Joint Child Malnutrition Estimates Expanded Database (April-2019), while national-level surveys are used for those countries where UNICEF-WHO-WB Database is not available. The data for socio-economic variables are taken from the World Bank's data bank (1990-2015). RESULTS: Findings from the absolute ß-convergence model estimates show that progress in child stunting has diverged over the entire period (1990-2015). However, the speed of divergence has reduced for the recent period (2010-2015). The conditional ß-convergence model estimates show that cross-country heterogeneity in GDP per capita, poverty and health care expenditure are significant factors explaining divergence in child stunting. CONCLUSIONS: For replacing current divergence with convergence in child stunting worldwide, the study demonstrates the critical role of economic factors and public spending on health care to reduce child stunting, particularly in countries where progress is slow.

Testing the regional Convergence Hypothesis for the progress in health status in India during 1980-2015.

The key challenges of global health policy are not limited to improving average health status, with a need for greater focus on reducing regional inequalities in health outcomes. This study aimed to assess health inequalities across the major Indian states used data from the Sample Registration System (SRS, 1981-2015), National Family Health Survey (NFHS, 1992-2015) and other Indian government official statistics. Catching-up plots, absolute and conditional ß-convergence models, sigma (σ) plots and Kernel Density plots were used to test the Convergence Hypothesis, Dispersion Measure of Mortality (DMM) and the Gini index to measure progress in absolute and relative health inequalities across the major Indian states. The findings from the absolute ß-convergence measure showed convergence in life expectancy at birth among the states. The results from the ß- and σ-convergences showed convergence replacing divergence post-2000 for child and maternal mortality indicators. Furthermore, the estimates suggested a continued divergence for child underweight, but slow improvements in child full immunization. The trends in inter-state inequality suggest a decline in absolute inequality, but a significant increase or stationary trend in relative health inequality during 1981-2015. The application of different convergence metrics worked as robustness checks in the assessment of the convergence process in the selected health indicators for India over the study period.

Is unintended birth associated with physical intimate partner violence? Evidence from India.

A growing number of studies have tested the association between intimate partner violence (IPV) and the unintendedness of pregnancy or birth, and most have suggested that unintendedness of pregnancy is a cause of IPV. However, about nine in every ten women face violence after delivering their first baby. This study examined the effects of the intendedness of births on physical IPV using data from the National Family Health Survey (2015-16). The multivariate logistic regression model analysis found that, compared with women with no unwanted births (2.9%), physical IPV was higher among those women who had unwanted births (6.9%, p<0.001), followed by those who had mistimed births (4.4 %, p<0.001), even after adjusting for several women's individual and socioeconomic characteristics. Thus, the reduction of women with mistimed and unwanted births could reduce physical IPV in India. The study highlights the unfinished agenda of family planning in the country and argues for the need to integrate family planning and Reproductive, Maternal and Child Health Care (RMNCH) services to yield multi-sectoral outcomes, including the elimination of IPV.

Maternal dietary diversity and odds of low birth weight: Empirical findings from India.

India has the highest proportion of low birth weight (LBW) babies born in the developing world. Poor maternal nutrition during pregnancy is associated with adverse infant health outcomes. The main objective of this paper was to assess the socioeconomic factors associated with dietary diversity among pregnant women and to investigate the association between maternal dietary diversity and LBW among their babies. The data for these analyses were derived from a survey conducted in November and December, 2014 among 230 women who had newly delivered in hospitals in Uttar Pradesh, the largest Indian state that has the poorest maternal outcomes in the country. The results from multivariate binary logistic regression model indicated that low maternal education and economic status was significantly associated with poor dietary diversity among participants. Also, women with low maternal dietary diversity had a significantly higher proportion of LBW babies compared to those in the medium to high dietary diversity categories. From a policy perspective, these findings suggest that continuous tracking of pregnant women's nutritional needs through existing monitoring systems, e.g., the Nutrition Resource Platform and Health Management Information System, and necessary interventions through Integrated Child Development Services may yield better results, thereby, addressing maternal under-nutrition and LBW.

DECOMPOSING THE SOCIOECONOMIC INEQUALITY IN UTILIZATION OF MATERNAL HEALTH CARE SERVICES IN SELECTED COUNTRIES OF SOUTH ASIA AND SUB-SAHARAN AFRICA.

The gap in access to maternal health care services is a challenge of an unequal world. In 2015, each day about 830 women died due to complications of pregnancy and childbirth. Almost all of these deaths occurred in low-resource settings, and most could have been prevented. This study quantified the contributions of the socioeconomic determinants of inequality to the utilization of maternal health care services in four countries in diverse geographical and cultural settings: Bangladesh, Ethiopia, Nepal and Zimbabwe. Data from the 2010-11 Demographic and Health Surveys of the four countries were used, and methods developed by Wagstaff and colleagues for decomposing socioeconomic inequalities in health were applied. The results showed that although the Concentration Index (CI) was negative for the selected indicators, meaning maternal health care was poorer among lower socioeconomic status groups, the level of CI varied across the different countries for the same outcome indicator: CI of -0.1147, -0.1146, -0.2859 and -0.0638 for <3 antenatal care visits; CI of -0.1338, -0.0925, -0.1960 and -0.2531 for non-institutional delivery; and CI of -0.1153, -0.0370, -0.1817 and -0.0577 for no postnatal care within 2 days of delivery for Bangladesh, Ethiopia, Nepal and Zimbabwe, respectively. The marginal effects suggested that the strength of the association between the outcome and explanatory factors varied across the different countries. Decomposition estimates revealed that the key contributing factors for socioeconomic inequalities in maternal health care varied across the selected countries. The findings are significant for a global understanding of the various determinants of maternal health care use in high-maternal-mortality settings in different geographical and socio-cultural contexts.

THE RETURNS OF FAMILY PLANNING: MACRO-LEVEL ASSESSMENT OF THE EFFECT OF CONTRACEPTIVE USE ON WOMEN'S ANAEMIA AND CHILDHOOD UNDERNUTRITION.

This study investigated the effect of family planning on the levels of women's anaemia and child undernutrition at the aggregate level using the compiled databases of the World Bank, UNICEF and the Economist Intelligence Unit. Correlation scatter matrix plots and multivariate OLS regression models were employed to assess the effect of family planning on women's anaemia and child nutritional status across countries. At the aggregate level, the bivariate correlation estimates found that the Contraceptive Prevalence Rate (CPR) was negatively associated with women's anaemia (r=-0.62, p<0.01), child underweight (r=-0.57, p<0.01) and child stunting (r=-0.63, p<0.01). The results of the OLS regression showed that the independent effect of CPR on women's anaemia (ß=-0.35, p<0.01), child underweight (ß=-0.13, p<0.01) and child stunting (ß=-0.18, p<0.05) was negative, even after controlling for child marriage, female literacy, per capita GDP, poverty ratio, health expenditure and food security. The synthesis of these findings with the existing literature based on micro-data suggests pathways through which family planning influences the nutritional status of women and children. Family planning helps in avoiding shorter birth intervals, unintended pregnancy and unsafe abortion, which would otherwise result in nutrient depletion among mothers and further increase the risk of undernutrition in their children.

Relevance of Health Knowledge in Reporting Maternal Health Complications and Use of Maternal Health Care in India.

We measured levels of women's health knowledge and their association with the reporting of maternal health complications and related health care use. We found that women with higher levels of health knowledge reported more pregnancy and postnatal complications, and used more maternal health care services. Education has a positive impact on health, but education alone is not enough to ensure recognizing and reporting of health complications and increasing the demand for maternal health care services. We conclude that the provision of health education for women will help them to identify maternal health complications and improve their reporting and related health care use.

The Effect of Early Marriages and Early Childbearing on Women's Nutritional Status in India.

The consequences of early childbearing on the growth and nutritional status of women in India has not been quantified in previous studies. Our study aimed to fill this gap by analysing the association between early marriage and early childbearing on nutritional status of Indian women, with a focus on Bihar and Andhra Pradesh, the two states accounting for the highest proportion of women marrying and giving first birth before 18 years of age. Our findings revealed that a substantial number of women were married before 18 years and thereby exposed to early pregnancy. Furthermore, a significantly higher proportion of women in the 'thin' category were married before 18 years, both in the Indian sample (33 %, p < 0.001) and in the selected states, Andhra Pradesh (31 %, p < 0.001) and Bihar (43 %, p < 0.001), compared to those women married at higher ages. Similarly, across all our samples women whose first birth was before age 18 years also had a significantly higher probability of being in the 'thin' category across all our samples. This pattern was also observed for associations between early childbirth and anemia levels. We conclude that the net effect of the early age at marriage and age at first birth on nutritional status is significant. Our results underline the need for preventing early marriages and the consequent high adolescent pregnancies in India, particularly in high prevalence states. This will help to improve nutritional status and health care utilisation among women, thereby, prevent maternal and child mortality and thus, achieve the MDGs 4-5.

Association between obstetric complications & previous pregnancy outcomes with current pregnancy outcomes in Uttar Pradesh, India.

BACKGROUND & OBJECTIVES: A substantial proportion of pregnant women in India are at the risk of serious obstetric complications and reliable information on obstetric morbidity is scanty, particularly in socio-economically disadvantaged society. We studied the association between the obstetric complications in women in their current pregnancy and adverse pregnancy outcomes in previous pregnancies in Uttar Pradesh, India. METHODS: Data from District Level Household Survey (2007-2008) were used for empirical assessment. Bivariate, trivariate and Cox proportional hazard regression model analyses were applied to examine the effect of obstetric complications and previous pregnancy outcome on current pregnancy outcome among currently married women (age group 15-49 yr) in Uttar Pradesh, India. RESULTS: The results of this study showed that the obstetric complications in the current pregnancy and adverse pregnancy outcomes in previous pregnancies were associated with the outcome of the current pregnancy. Cox proportional hazard regression model estimates revealed that the hazard ratio of having stillbirths were significantly higher among women with any obstetric complications compared to women with no obstetric complications. The adverse pregnancy outcome in a previous pregnancy was the largest risk factor for likelihood of developing similar type of adverse pregnancy outcome in the current pregnancy. INTERPRETATION & CONCLUSIONS: The findings provided key insights for health policy interventions in terms of prevention of obstetric complications to avoid the adverse pregnancy outcome in women.

What is the cause of the decline in maternal mortality in India? Evidence from time series and cross-sectional analyses.

Summary Studies on the causes of maternal mortality in India have focused on institutional deliveries, and the association of socioeconomic and demographic factors with the decline in maternal mortality has not been sufficiently investigated. By using both time series and cross-sectional data, this paper examines the factors associated with the decline in maternal mortality in India. Relative effects estimated by OLS regression analysis reveal that per capita state net domestic product (-1.49611, p<0.05), poverty ratio (0.02426, p<0.05), female literacy rate (-0.05905, p<0.10), infant mortality rate and total fertility rate (0.11755, p<0.05) show statistically significant association with the decline in the maternal mortality ratio in India. The Barro-regression estimate reveals that improvements in economic and demographic conditions such as growth in state income (ß=0.35020, p<0.05) and reduction in poverty (ß=0.01867, p<0.01) and fertility (ß=0.02598, p<0.05) have a greater association with the decline in the maternal mortality ratio in India than institutional deliveries (ß=0.00305). The negative ß-coefficient (ß=-0.69578, p<0.05), showing the effect of the initial maternal mortality ratio on change in maternal mortality ratio in the Barro-regression model, indicates a greater decline in maternal mortality ratio in laggard states compared with advanced states. Overall, comparing the estimates of relative effects, the socioeconomic and demographic factors have a stronger statistically significant association with the maternal mortality ratio than institutional deliveries. Interestingly, the weak association between 'increase in institutional deliveries' and 'decline in maternal mortality ratio' suggests that merely increasing deliveries alone will not help in ensuring maternal survival in India. Quality of services provided by the health facility, birth preparedness and avoiding delay in reaching health facility are also important. Deliveries in health facilities will not necessarily translate into increased survival chances of mothers unless women receive full antenatal care services and delays in reaching health facility are avoided.

Socioeconomic determinants of health inequalities among the older population in India: a decomposition analysis.

This study quantified and decomposed health inequalities among the older population in India and analyzes how health status varies for populations between 60 to 69 years and 70 years and above. Data from the 60th round of the National Sample Survey (NSS) was used for the analyses. Socioeconomic inequalities in health status were measured by using Concentration Index (CI) and further decomposed to find critical determinants and their relative contributions to total health inequality. Overall, CI estimates were negative for the older population as a whole (CI = -0.1156), as well as for two disaggregated groups, 60 to 69 years (CI = -0.0943) and 70 years and above (CI = -0.08198). This suggests that poor health status is more concentrated among the socioeconomically disadvantaged older population. Decomposition analyses revealed that poor economic status (54 %) is the dominant contributor to total health inequalities in the older population, followed by illiteracy (24 %) and rural place of residence (20 %). Other indicators, such as religion, gender and marital status were positive, while Caste was negatively associated with health inequality in the older populations. Finally, a comparative assessment of decomposition results suggest that critical contributors for health inequality vary for the older population of 60 to 69 years and 70 years and above. These findings provide important insights on health inequalities among the older population in India. Implications are advanced.

Informal Employment and High Burden of Out-of-Pocket Healthcare Payments among Older Workers: Evidence from Longitudinal Ageing Study in India.

India's economy is among the fastest growing in the world. However, a large share of informal workforce is a common characteristic of country's economy, comprises a significant portion of most of its labour markets. This workforce often receives low wages and lacks benefits such as strong social security and health coverage for all. The majority of healthcare spending in India is private. As India's population ages and the informal sector expands, it is expected that many of these workers will continue to work beyond the retirement age to bear their own healthcare costs due to lack of savings, pensions and the precarious nature of their employment. In this context, this study estimates the burden of Out-of-Pocket (OOP) payments on India's informal older workers compared to their formal counterparts, using data from the first wave of the nationally representative Longitudinal Ageing Study in India. According to estimates from the Two-part regression model, informal older workers pay, on an average, INR 1113 (p<0.01) and INR 55 (p<0.05) less than their formal counterparts for inpatient and outpatient care, respectively. However, probit regression models revealed that the burden of combined (both inpatient and outpatient) OOP payments exceeding (by 40%, 20%, and 10%) of their income is significantly higher among informal older workers compared to formal older workers. The study underscores the need for strengthening of universal health insurance schemes to ensure everyone has access to medical services without experiencing financial hardship. It also advocates for policies specifically tailored towards informal workers, considering their unique challenges with regard to livelihoods and healthcare security. In particular, this encompasses bolstering the existing social security and healthcare system, and related policies for ensuring financial security against OOP payments, especially for informal workers and all the population in general.

Diverging destinies: How children are faring under demographic transition.

India reached the replacement level of fertility in 2020. However, the journey of fertility transition is unconventional and heterogeneous within the country and across the different socio-economic groups. The fertility transition is considered to be faster than its socio-economic and health transition in several states. Thus, it has been presumed that the returns to fertility decline are heterogeneous across the states and population sub-groups. Our specific hypothesis is that although rich and poor, and educated and un-educated, everyone had significantly contributed to the fertility decline in response to family planning policies, only those socio-economically better-off have been investing relatively more in their children compared to the poor, and this has led to diverging destinies for children. We tested this supposition using a macro-level panel dataset (1992-2021), fixed and random effects, and IV regression models. The results confirm that child health care and outcomes have diverged while fertility declined from 1992 to 2021. These results are sustained in multiple robustness checks. While fertility is declining with highly state-sponsored family planning programmes, the persistent socio-economic inequalities are leading to unequal progress in health outcomes for children in India.

Continuum of care in maternal and child health in Indonesia.

AIM: This paper aims to empirically analyze the socioeconomic and demographic correlates of maternal and child health (MCH) care utilization in Indonesia using the continuum of care (CoC) concept. BACKGROUND: The concept of CoC has emerged as an important guiding principle in reproductive, maternal, newborn, and child health. Indonesia's maternal mortality rate, neonatal mortality, and under-five mortality rates are among the highest in the Southeast Asian region. METHODS: Using pooled data from four successive waves of the nationally representative Indonesian Demographic and Health Survey (IDHS) conducted in the years 2002, 2007, 2012, and 2017, we use multivariate regression models to analyze care across four components of the continuum: antenatal care (ANC), institutional delivery, postnatal care for children, and full immunization (IM). FINDINGS: CoC at each stage of MCH care has improved continuously over the period 2002-2017 in Indonesia. Despite this, just less than one out of two children receive all four components of the CoC. The overall coverage of CoC from its second stage (four or more ANC visits) to the final stage (full child IM) is driven by the dropouts at the ANC visit stage, followed by the loss of postnatal checkups and child IM. We find that the probability of a child receiving CoC at each of the four stages is significantly associated with maternal age and education, the household's socioeconomic and demographic characteristics, and economic status. CONCLUSION: Complete CoC with improved, affordable, and accessible MCH care services has the potential to accelerate the progress of Sustainable Development Goal 3 by reducing maternal and childhood mortality risks. Our findings show that in Indonesia, the CoC continuously declines as women proceed from ANC to other MCH services, with a sharp decline observed after four ANC visits. Our study has identified key socioeconomic characteristics of women and children that increase their probability of failing to access care.

Education and non-communicable diseases in India: an exploration of gendered heterogeneous relationships.

BACKGROUND: While the association between education and non-communicable diseases (NCDs) is well established, it remains unclear whether this association varies by gender. The aim of this study was to examine two critical research questions: whether the association of education and NCDs is conditioned by gender and, if so, what are the factors contributing to this? METHODS: Data from the Longitudinal Aging Study in India Wave 1 (2017-2018) was used for the empirical analysis. The study employs bivariate, binary logistic regression and Oaxaca decomposition analyses. RESULTS: The results reveal that the net likelihood of having at least one chronic NCD increases with an increase in education level for men (<5 y of schooling: odds ratio [OR] 1.18 [95% confidence interval {CI} 1.09 to 1.28]; ≥10 y of schooling: OR 1.43 [95% CI 1.33 to 1.53]). However, for women, the result showed a contrasting pattern. The decomposition analysis revealed that the distinctive roles of marital status and working status in the diagnosis of morbidity for men and women are the key factors behind the gendered heterogeneous relationship of education and NCDs in India. CONCLUSIONS: The study found that it is important to acknowledge the potential impact of self-reporting bias in morbidity data while examining the relationship between education and NCDs.