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.

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.

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.

Political determinants of health: (re) examining the role of governance in reducing maternal mortality.

Given change in the universal developmental agenda and the quality of governance in the last two decades, this paper re-examines the relationship between governance, health expenditure and maternal mortality using panel data for 184 countries from 1996 to 2019. By employing the 'dynamic panel data regression model', the study reveals that a one-point improvement in the governance index decreases maternal mortality by 10-21%. We also find that good governance can better translate health expenditure into improved maternal health outcomes through effective allocation and equitable distribution of available resources. These results are robust to alternative instruments, alternative dependent variables (such as infant mortality rate and life expectancy), estimation by different governance dimensions and at the sub-national level. Additional findings using 'Quantile regression' estimates show that the quality of governance matters more than the health expenditure in countries with a higher level of maternal mortality. While the 'Path regression' analysis exhibits the specific direct and indirect mechanisms through which the causal inference operates between governance and maternal 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.

In utero Ramadan exposure and child nutrition.

In this study, we empirically analyse whether in utero exposure to the Ramadan fasting period is negatively associated with child nutrition. The data for the analyses come from a retrospective assessment of 759,799 children from 103 Demographic and Health Surveys (DHS) across 56 countries during 2003-2020. Considering the month-long Ramadan exposure as a natural experiment, we implement an intent-to-treat framework, comparing stunting and underweight among children aged 0-5 years who were exposed to Ramadan fasting at any time in utero with those who were not exposed. Our findings do not show significant evidence to conclude that in utero exposure to the Ramadan fasting period is negatively associated with child nutrition. On the contrary, except for stunting in Muslim children who had in utero exposure to Ramadan fasting during the first months of pregnancy, we find no significant association between in utero exposure to Ramadan fasting and child stunting and underweight. Our main results are robust to multiple robustness checks.

Exposure to conflict and child health outcomes: evidence from a large multi-country study.

BACKGROUND: Previous research has consistently found evidence of poor health outcomes among children living in conflict areas. However, the methodological focus of these studies has largely been on case studies, chart or registry reviews, qualitative studies, and single country studies. This reflects the need for a comprehensive multi-country analysis of the associations between conflicts and child health over a longer period. This study analyses the adverse impact of exposure to different types of conflicts  from in utero to five years of age, on several child health measures across a large group of countries. Our analysis pools data from multiple countries and time-points, to provide robust evidence on the relationship between conflict and child health. METHODS: Geo-referenced data on various forms of conflict are combined with the Demographic Health Survey dataset, to construct a large unique database of 590,488 pre-school age children across 52 developing countries over the period 1997 to 2018. Our analysis exploits the within-country differences in children's exposure to conflict from in utero to age five, to estimate its association with health outcomes. Our multivariate regression models estimate the links between conflict exposure and child health outcomes, measured using child nutrition outcomes (height-for-age and weight-for-age z-scores) and immunization status. RESULTS AND CONCLUSIONS: Empirical estimates show that even after controlling for a large array of socio-economic and demographic characteristics and location fixed effects, conflict exposure is negatively associated with child nutrition and immunization, across all our measures of conflict. These findings are robust across a range of specifications, alternative measures of conflict and sub-samples.

Potential demographic dividend for India, 2001 to 2061: a macro-simulation projection using the spectrum model.

This paper projects potential demographic dividend for India for the period from 2001 to 2061 by using simulation modelling software, Spectrum 5.753 which integrates demographic and socio-economic changes. The simulation results highlight that a combination of favourable demographic changes and the right socio-economic policy scenario can provide a maximum demographic dividend to India. Two key findings, after checking their robustness, from the simulation modelling are: First, the effective demographic windows of opportunity for India is available for the period between 2011 and 2041, giving India roughly 30 years of demographic bonus. It is the period where the maximum of the first demographic dividend can be reaped before the ageing burden starts. Second, favourable demographic changes alone has potential to provide a demographic dividend in terms of GDP per capita over 165,000 rupees which is equivalent to an additional 43 percentage for 'demographic-emphasis scenario' (Rs. 548,600) compared to 'demographic as-usual scenario' (Rs. 382,750) in 2061. However, reaping demographic dividend is conditional on supporting socio-economic policy environment in terms of investment in human capital and decent employment opportunities.

Conflicts and son preference: Micro-level evidence from 58 countries.

Research on the association between armed conflict and son preference has largely been based on single-country studies, often presenting descriptive patterns. This paper empirically analyzes the association between conflict and son preference using a sample of more than 1.1 million individuals from 58 countries over the period 2003-2018. We empirically show that both the incidence and intensity of conflict exposure are associated with greater son preference. Moreover, conflict-exposed individuals are likely to realise their preference for sons, as reflected in the systematically higher prevalence of sons over daughters among these individuals. To explore the aggregate effects of these findings, we conduct a cross-country analysis of sex ratios and show that history of conflict exposure plays an important role in explaining the cross-country differences in sex ratios.

Estimates and correlates of district-level maternal mortality ratio in India.

Despite the progress achieved, approximately one-quarter of all maternal deaths worldwide occur in India. Till now, India monitors maternal mortality in 18 out of its 36 provinces using information from the periodic sample registration system (SRS). The country does not have reliable routine information on maternal deaths for smaller states and districts. And, this has been a major hurdle in local-level health policy and planning to prevent avoidable maternal deaths. For the first time, using triangulation of routine records of maternal deaths under the Health Management Information System (HMIS), Census of India, and SRS, we provide Maternal Mortality Ratio (MMR) for all states and districts of India. Also, we examined socio-demographic and health care correlates of MMR using large-sample and robust statistical tools. The findings suggest that 70% of districts (448 out of 640 districts) in India have reported MMR above 70 deaths-a target set under Sustainable Development Goal-3. According to SRS, only Assam shows MMR of more than 200, while our assessment based on HMIS suggests that about 6-states (and two union territories) and 128-districts have MMR above 200. Thus, the findings highlight the presence of spatial heterogeneity in MMR across districts in the country, with spatial clustering of high MMR in North-eastern, Eastern, and Central regions and low MMR in the Southern and Western regions. Even the better-off states such as Kerala, Tamil Nadu, Andhra Pradesh, Karnataka, and Gujarat have districts of medium-to-high MMR. In order of their importance, fertility levels, the sex ratio at birth, health infrastructure, years of schooling, postnatal care, maternal age and nutrition, and poor economic status have emerged as the significant correlates of MMR. In conclusion, we show that HMIS is a reliable, cost-effective, and routine source of information for monitoring maternal mortality ratio in India and its states and districts.

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.

The road from ICPD to SDGs: Health returns of reducing the unmet need for family planning in India.

OBJECTIVE: This study attempts to estimate the impact of reducing the unmet need for family planning on the key maternal and child health indicators in India from 1993 to 2016, and projecting this for the period from 2016 to 2030. DATA AND METHODS: The data have been compiled from various sources such as the United Nations' World Population prospects, national family health surveys and the sample registration system. The family planning and demographic projection modules of 'Spectrum', a modular computer simulation program, were used to estimate the impact of family planning programmes on reproductive, maternal and child health outcomes in India from 1993 to 2030. RESULTS: Reduction of the unmet need for family planning averted approximately 56 million unintended pregnancies, 7 million unsafe abortions and 167,000 maternal deaths between 1993 and 2016. It is expected that an additional 41 million unintended pregnancies, 5 million unsafe abortions and 124,000 maternal deaths can be avoided by reducing the unmet need for family planning to 5% by 2030. Similarly, the declining unmet need for family planning between 1993 and 2016 led to a reduction in the pregnancy rate, abortion rate, and risk-adjusted infant and under-five mortality rates by 27 per 1000 married women, 1.8 per million married women, 10 per 1000 live births and 15 per 1000 live births, respectively. It is expected that approximately 24 pregnancies per 1000 married women, 1.6 abortions per million married women, 10 risk adjusted infant deaths per 1000 live births, and 14 under-five deaths per 1000 live births can be avoided by reducing the unmet need for family planning to 5% by 2030. CONCLUSIONS: The findings of this study advocate that family planning is one of the best return on-investment strategies for India to achieve several targets under the reproductive, maternal and child health-related sustainable development goals.

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.

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.

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.

Road to family planning and RMNCHN related SDGs: Tracing the role of public health spending in India.

Globally, public health expenditure (PHE) is closely associated with Reproductive, Maternal, Newborn, Child Health, and Nutrition (RMNCHN) and Family Planning (FP) outcomes. In India, the role of PHE in shaping the progress towards the attainment of RMNCHN and FP-related Sustainable Development Goals (SDGs) is not widely documented. Using the four consecutive rounds of National Family Health Survey (NFHS), we have investigated the progress in RMNCHN and FP indicators and their association with PHE by applying robust econometric modelling. The findings suggest that although there is noticeable progress in the RMNCHN indicators from 1992-93-2015-16, India has failed to achieve RMNCHN targets related to Millennium Development Goals (MDGs). Lack of noteworthy correlation between FP indicators and PHE supports the argument that post National Rural Health Mission (2005), the core family welfare expenditure suffered a setback despite the absolute rise in PHE. However, correlation plots and the multivariate panel data regression analyses affirm that even with a moderate rise, PHE emerges as an important predictor of RMNCHN outcomes in the country. Thus, the road to achieving RMNCHN and FP-related SDGs demands to avoid austerity on PHE and strengthen the integration of RMNCHN and FP programmes at the operational level.

Perplexing condition of child full immunisation in economically better off Gujarat in India: An assessment of associated factors.

BACKGROUND: Despite decent progress in Children Full Immunisation (CFI) in India during the last decade, surprisingly, Gujarat, an economically more developed state, had the second-lowest coverage of CFI (50%) in the country, lower than economically less developed states such as Bihar (62%). Further, the proportion of children with no immunisation in Gujarat has risen from 5% in 2005 to 9% in 2016. This paper investigated factors associated with the low level of CFI coverage in Gujarat. METHODS: The study used two types of datasets: (1) the information on immunisation from 7730 children aged 12-23 months and their mothers from the fourth round of the Gujarat chapter of National Family Health Survey (NFHS 2015-16). (2) A macro (district) level data on both supply and demand-side factors of CFI are compiled from multiple sources. Bivariate and multivariate linear and logistic regression techniques were employed to identify the factors associated with CFI coverage. RESULTS: In Gujarat, during 2015-2016, 50% of children aged 12-23 months did not receive full immunisation. The odds of receiving CFI was higher among children whose mothers had a Maternal and Child Protection (MCP) card (OR: 1.97, 95% CI 1.48-2.60) and those who received "high" maternal health services utilisation (OR: 1.59, 95% CI 1.10-2.26) compared to their counterparts. The odds of receiving CFI was about three times higher among the richest households (OR: 6.50, 95% CI 3.75-11.55) compared to their counterparts in the poorer households. Macro-level analyses suggest that poverty, maternal health care, and higher-order births are defining factors of CFI coverage in Gujarat. CONCLUSIONS: In order of importance, focusing on poverty, economic inequalities, pregnancy registration, and maternal health care services utilisation are likely to improve receiving CFI uptake in Gujarat. The disadvantageous position of urban areas and non-scheduled tribes in CFI coverage needs further investigation.

Data on water, sanitation, and hygiene in six select metro cities of India.

The purpose of this data article is to describe the data and provide the methodological notes on the construction of availability, accessibility, and overall Water, Sanitation and Hygiene (WASH) performance index using a set of thirteen indicators for six metro cities in India. It also presents the details on survey design and the nature of data collected on WASH indicators in India Human Development Survey for 2004-05 (IHDS-I) and 2011-12 (IHDS-II). The principal component analysis (PCA) procedure was used in the construction of the WASH indices. The IHDS is the only survey that provides comprehensive data on WASH indicators for six metro cities in India (Delhi, Mumbai, Kolkata, Chennai, Hyderabad, & Bangalore). The IHDS has been jointly conducted by researchers from the National Council of Applied Economic Research (NCAER), New Delhi and the University of Maryland, the United States of America (USA). The database is hosted in the public repository at the Inter-University Consortium for Political and Social Research (ICPSR) and the reference number for IHDS-I and IHDS-II are ICPSR 22626 and ICPSR 36151 respectively. The data are publicly available through ICPSR. Interpretation of the present data can be found in the research article titled "Availability, accessibility, and inequalities of water, sanitation, and hygiene (WASH) services in Indian metro cities" (Saroj et al., 2019) [9].

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.

Labour room violence in Uttar Pradesh, India: evidence from longitudinal study of pregnancy and childbirth.

OBJECTIVES: The major objective of this study was to investigate the prevalence of labour room violence (LRV) (one of the forms of obstetric violence) faced by the women during the time of delivery in Uttar Pradesh (UP) (the largest populous state of India which is also considered to be a microcosm of India). Furthermore, this study also analyses the association between prevalence of obstetric violence and socioeconomic characteristics of the respondents. DESIGN: The study was longitudinal in design with the first visit to women made at the time of first trimester. The second visit was made at the time of second trimester and the last visit was made after the delivery. However, we have continuously tracked women over phone to keep record of developments and adverse consequences. SETTINGS: Urban and rural areas of UP, India. PARTICIPANTS: Sample of 504 pregnant women was systematically selected from the Integrated Child Development Scheme Register of pregnant women. OUTCOME: We aimed to assess the levels and determinants of LRV using data collected from 504 pregnant women in a longitudinal survey conducted in UP, India. The dataset comprised three waves of survey from the inception of pregnancy to childbirth and postnatal care. Logistic regression model has been used to assess the association between prevalence of LRV faced by the women at the time of delivery and their background characteristics. RESULT: About 15.12% of women are facing LRV in UP, India. Results from logistic regression model (OR) show that LRV is higher among Muslim women (OR 1.8, 95% CI 0.7 to 4.3) relative to Hindu women (OR 1). The prevalence of LRV is higher among lower castes relative to general category, and is higher among those women who have no mass media exposure (OR 4.7, 95% CI 1.7 to 12.8) compared with those who have (OR 1). CONCLUSION: In comparison with global evidence, the level of LRV in India is high. Women from socially disadvantaged communities are facing higher LRV than their counterparts.