Climate and Gender: Association Between Droughts and Intimate Partner Violence in India.

Extreme climate events are related to women's exposure to different forms of violence. We examined the relationship between droughts and physical, sexual, and emotional intimate partner violence (IPV) in India by using 2 different definitions of drought: precipitation-based drought and socioeconomic drought. We analyzed data from 2 rounds of a nationally representative survey, the National Family Health Survey, where married women were asked about their experiences of IPV in the previous year (2015-2016 and 2019-2021; n = 122,696). Precipitation-based drought was estimated using remote sensing data and geographic information system (GIS) mapping, while socioeconomic drought status was collected from government records. Logistic regression models showed precipitation-based drought to increase the risk of experiencing physical IPV and emotional IPV. Similar findings were observed for socioeconomic drought; women residing in areas classified as drought-impacted by the government were more likely to report physical IPV, sexual IPV, and emotional IPV. These findings support the growing body of evidence regarding the relationship between climate change and women's vulnerability, and highlight the need for gender responsive strategies for disaster management and preparedness.

Effects of the reaching married adolescents program on modern contraceptive use and intimate partner violence: results of a cluster randomized controlled trial among married adolescent girls and their husbands in Dosso, Niger.

BACKGROUND: Niger has the highest rate of adolescent fertility in the world, with early marriage, early childbearing and high gender inequity. This study assesses the impact of Reaching Married Adolescents (RMA), a gender-synchronized social behavioral intervention designed to improve modern contraceptive use and reduce intimate partner violence (IPV) among married adolescent couples in rural Niger. METHODS: We conducted a four-armed cluster-randomized trial in 48 villages across three districts in Dosso region, Niger. Married adolescent girls (ages 13-19) and their husbands were recruited within selected villages. Intervention arms included home visits by gender-matched community health workers (CHWs) (Arm 1), gender-segregated, group discussion sessions (Arm 2), and both approaches (Arm 3). We used multilevel mixed-effects Poisson regression models to assess intervention effects for our primary outcome, current modern contraceptive use, and our secondary outcome, past year IPV. RESULTS: Baseline and 24-month follow-up data were collected April-June 2016 and April-June 2018. At baseline, 1072 adolescent wives were interviewed (88% participation), with 90% retention at follow-up; 1080 husbands were interviewed (88% participation), with 72% retention at follow-up. Adolescent wives had higher likelihood of modern contraceptive use at follow-up relative to controls in Arm 1 (aIRR 3.65, 95% CI 1.41-8.78) and Arm 3 (aIRR 2.99, 95% CI 1.68-5.32); no Arm 2 effects were observed. Relative to those in the control arm, Arm 2 and Arm 3 participants were significantly less likely to report past year IPV (aIRR 0.40, 95% CI 0.18-0.88 for Arm 2; aIRR 0.46, 95% CI 0.21-1.01 for Arm 3). No Arm 1 effects were observed. CONCLUSIONS: The RMA approach blending home visits by CHWs and gender-segregated group discussion sessions is the optimal format for increasing modern contraceptive use and decreasing IPV among married adolescents in Niger. Trial registration This trial is retrospectively registered with ClinicalTrials.gov, Identifier NCT03226730.

Although Niger has both the highest levels of fertility and of child marriage in the world, as well as substantial gender inequity, there have been no high-quality evaluations of public health programs aiming to increase contraceptive use or decrease intimate partner violence. In this study, we conducted a high quality, randomized controlled trial to evaluate whether the Reaching Married Adolescents public health program could increase modern contraceptive use and decrease intimate partner violence among married adolescent girls (13­19 years old) and their husbands in the Dosso region of Niger. The results of this evaluation provide evidence of the value of individual home visits for wives and their husbands in increasing modern contraceptive use, the value of small group discussions in reducing intimate partner violence, and the combined value of receiving both approaches at the same time for both increasing modern contraceptive use and decreasing intimate partner violence. The current study advances the state of evidence regarding contraceptive use and IPV among married adolescents and their husbands in Niger, highlighting the importance of engaging male partners in such public health programs, as well as of using multiple modes of delivery of programs. The success of this intervention in the high-risk context of Niger suggests that other countries in the region may benefit from testing this approach to improve the health and well-being of young wives.

Association between Intimate Partner Violence and Contraceptive Use Discontinuation in India.

Research on the association between experiences of intimate partner violence (IPV) and contraceptive use discontinuation in low- and middle-income countries (LMICs) is limited. This study aims to fill this important gap using microdata collected from women aged 15-49 in the 2015-2016 National Family Health Survey (NFHS). Analyses used multivariable multinomial logistic regressions stratified by long-acting reversible contraceptive methods (LARC)/non-LARC and condom/pill to examine the association between experience of IPV and contraceptive use discontinuation while still in need (DWSIN). Experience of physical violence was associated with DWSIN among LARC/IUD users (RRR: 3.73, 95 percent CI [1.55-8.95]) Among condom users, DWSIN was higher among women who experienced emotional violence compared with women who did not experience any violence (RRR: 4.16, 95 percent CI [1.59-10.90]). Although we did not find an association between IPV and overall contraceptive use discontinuation, we did find compelling evidence of an association between IPV and IUD and condom use discontinuation in India. There is a need to understand women's experience of IPV as a part of a broader strategy to provide high-quality family planning services to all women while considering individual circumstances and reproductive aspirations to support the uninterrupted use of contraception in India.

Disrupting gender norms in health systems: making the case for change.

Restrictive gender norms and gender inequalities are replicated and reinforced in health systems, contributing to gender inequalities in health. In this Series paper, we explore how to address all three through recognition and then with disruptive solutions. We used intersectional feminist theory to guide our systematic reviews, qualitative case studies based on lived experiences, and quantitative analyses based on cross-sectional and evaluation research. We found that health systems reinforce patients' traditional gender roles and neglect gender inequalities in health, health system models and clinic-based programmes are rarely gender responsive, and women have less authority as health workers than men and are often devalued and abused. With regard to potential for disruption, we found that gender equality policies are associated with greater representation of female physicians, which in turn is associated with better health outcomes, but that gender parity is insufficient to achieve gender equality. We found that institutional support and respect of nurses improves quality of care, and that women's empowerment collectives can increase health-care access and provider responsiveness. We see promise from social movements in supporting women's reproductive rights and policies. Our findings suggest we must view gender as a fundamental factor that predetermines and shapes health systems and outcomes. Without addressing the role of restrictive gender norms and gender inequalities within and outside health systems, we will not reach our collective ambitions of universal health coverage and the Sustainable Development Goals. We propose action to systematically identify and address restrictive gender norms and gender inequalities in health systems.

Students and brides: a qualitative analysis of the relationship between girls' education and early marriage in Ethiopia and India.

BACKGROUND: Early marriage (< 18 years) is associated with education cessation among girls. Little research has qualitatively assessed how girls build resiliency in affected contexts. This study examines these issues in Oromia, Ethiopia and Jharkhand, India among girls and their decision-makers exposed to early marriage prevention programs. METHODS: Qualitative interviews were conducted with girls who received the intervention programs and subsequently either a) married prior to age 18 or b) cancelled/postponed their proposed early marriage. Girls also selected up to three marital decision-makers for inclusion in the study. Participants (N = 207) were asked about the value and enablers of, and barriers to, girls' education and the interplay of these themes with marriage, as part of a larger in-depth interview on early marriage. Interviews were transcribed, coded, and analyzed using latent content analysis. RESULTS: Participants recognized the benefits of girls' education, including increased self-efficacy and life skills for girls and opportunity for economic development. A girl's capacity and desire for education, as well as her self-efficacy to demand it, were key psychological assets supporting school retention. Social support from parents and teachers was also important, as was social support from in-laws and husbands to continue school subsequent to marriage. Post-marriage education was nonetheless viewed as difficult, particularly subsequent to childbirth. Other noted barriers to girls' education included social norms against girls' education and for early marriage, financial barriers, and poor value of education. CONCLUSION: Social norms of early marriage, financial burden of school fees, and minimal opportunity for girls beyond marriage affect girls' education. Nonetheless, some girls manifest psychological resiliency in these settings and, with support from parents and teachers, are able to stay in school and delay marriage. Unfortunately, girls less academically inclined, and those who do marry early, are less supported by family and existing programs to remain in school; programmatic efforts should be expanded to include educational support for married and childbearing girls as well as options for women and girls beyond marriage.

Beyond the statistic: exploring the process of early marriage decision-making using qualitative findings from Ethiopia and India.

BACKGROUND: Early marriage of girls (marriage < 18 years) is a pervasive abuse of rights that compromises maternal and child health. The common conceptualization of this practice as an outcome undermines the nuanced and sometimes protracted decision-making process of whom and when to marry. METHODS: This paper uses qualitative data from semi-structured interviews with females aged 13-23 years who participated in child marriage prevention programs and either married early or cancelled/postponed early marriage, and their key marital decision-makers in Oromia, Ethiopia (n = 105) and Jharkhand, India (n = 100). RESULTS: Social norms and the loss of a parent were stressors sustaining early marriage across contexts. Participants described three stages of early marriage: initiation, negotiation and final decision-making. Girls were infrequently involved in the initiation of early marriage proposals, though their decision-making autonomy was greater in groom-initiated proposals. The negotiation phase was most open to extra-familial influences such as early marriage prevention program staff and teachers. Across settings, fathers were the most important final decision-makers. CONCLUSIONS: The breadth and number of individual and social influences involved in marital decision-making in these settings means that effective early marriage prevention efforts must involve girls, families and communities. While underlying norms need to be addressed, programs should also engage and enable the choice, voice and agency of girls. Empowerment was important in this sample, but generally required additional social resources and support to have impact. Girls with greater social vulnerability, such as those without a male caretaker, had more compromised voice, choice and agency with regards to early marriage. Understanding early marriage decision-making as a process, rather than an endpoint, will better equip programs and policies that aim to eliminate early marriage to address the underlying norms that perpetuate this practice, and is an important lens through which to support the health and human rights of women and girls globally.

The Association Between Self-Managed versus Clinician-Managed Abortion and Self-Reported Abortion Complications: A Cross-Sectional Analysis in India.

Purpose: To examine the association between self-managed abortion and the self-reported experience of abortion complications in India, a country with a high incidence of self-managed abortion. Patients and Methods: The study used a cross-sectional multivariable logistic regression analysis of data from the National Family Health Survey (NFHS-4) of 2015-2016 to compare the odds of self-reported complications experienced during abortion between self-managed and clinician-managed abortions in India. Results: On average, self-managed abortions occurred earlier in gestation than clinician-managed abortions, 7.8 weeks and 11.3 weeks, respectively (p < 0.001). Self-managed abortion was associated with fewer self-reported abortion-related complications than clinician-managed abortions when adjusted for covariates not including gestational age (Adjusted Odds Ratio (aOR) 0.82, 95% confidence interval (CI) 0.69, 0.97). However, once adjusted for gestational age, there was no longer a clinically meaningful or statistically significant difference in the odds of self-reported complications between self-managed and clinician-managed abortions (aOR = 0.98, 95% CI 0.81, 1.18). Conclusion: These findings suggest that people in India are using safe methods to self-manage abortions and support the hypothesis that self-managed abortion can improve access to abortion and reproductive choice without increasing risk.

Freedom of Movement and Adolescent Sexual Violence in India.

This study assesses associations between freedom of movement and sexual violence, both in marriage and outside of marriage, among a representative sample of adolescents in India. We analyzed data from girls aged 15 to 19 years (n = 9,593) taken from India's nationally representative National Family Health Survey 2015-2016. We defined freedom of movement using three items on whether girls could go unaccompanied to specified locations; we summated responses and categorized them as restricted, or unrestricted. We used multivariable regression to assess associations between restricted movement and nonmarital violence, and with marital sexual violence among ever-married girls. Results show that only 2% of girls reported nonmarital sexual violence, among married and unmarried girls; 6% of married girls reported marital sexual violence. Most girls (78%) reported some restriction in movement. Restricted movement was negatively associated with nonmarital sexual violence (adjusted odds ratio [AOR] = 0.52, 95% confidence interval [CI] = [0.31, 0.87], p = .01) but positively associated with marital sexual violence (AOR = 3.87, 95% CI = [1.82, 8.25], p < .001). Further analyses highlight that the observed association with nonmarital sexual violence was specific to urban and not rural girls. These findings reveal that approximately one in 30 adolescent girls in India has been a victim of sexual violence. Restricted movement is associated with lower risk for nonmarital sexual violence for urban adolescent girls, possibly due to lower exposure opportunity. Married girls with restricted movement have higher odds of marital sexual violence, possibly because these are both forms of control used by abusive husbands. Freedom of movement is a human right that should not place girls at greater risk for nonmarital violence or be used as a means of control by abusive spouses. Social change is needed to secure girls' safety in India.

Using machine learning to understand determinants of IUD use in India: Analyses of the National Family Health Surveys (NFHS-4).

Intra-uterine devices (IUDs) are a safe and effective method to delay or space pregnancies and are available for free or at low cost in the Indian public health system; yet, IUD uptake in India remains low. Limited quantitative research using national data has explored factors that may affect IUD use. Machine Learning (ML) techniques allow us to explore determinants of low prevalence behaviors in survey research, such as IUD use. We applied ML to explore the determinants of IUD use in India among married women in the 4th National Family Health Survey (NFHS-4; N = 499,627), which collects data on demographic and health indicators among women of childbearing age. We conducted ML logistic regression (lasso and ridge) and neural network approaches to assess significant determinants and used iterative thematic analysis (ITA) to offer insight into related variable constructs generated from a series of regularized models. We found that couples' shared family planning (FP) goals were the strongest determinants of IUD use, followed by receipt of FP services and desire for no more children, higher wealth and education, and receipt of maternal and child health services. Findings highlight the importance of male engagement and family planning services for IUD uptake and the need for more targeted efforts to support awareness of IUD as an option for spacing, especially for those of lower SES and with lower access to care.

Effect of preterm birth on early neonatal, late neonatal, and postneonatal mortality in India.

Despite India having a high burden of infant deaths and preterm birth, there is a clear lack of studies documenting association between preterm birth and infant mortality in India. Additionally, existing studies have failed to account for unobserved heterogeneity while linking preterm birth with infant mortality. Hence, the present study examines association of preterm birth with early neonatal death (ENND), late neonatal death (LNND), and postneonatal death (PNND) in India. We used the reproductive calendar canvassed in the cross-sectional National Family Health Survey 2015-16 (NFHS-4) to identify preterm births. We used multivariable logistic regression to examine the associations for all births, most-, second most-, and third most- recent births occurred in five years preceding NFHS-4. We use mother fixed-effect logistic regression to confirm the associations among all recent births. Among all births, preterm births were 4.2, 3.8, and 1.7 times as likely as full-term births to die during early neonatal, late neonatal, and postneonatal periods respectively. Among most recent births, preterm births were 4.4, 4.0, and 2.0 times as likely as full-term births to die during early neonatal, late neonatal, and postneonatal periods respectively. Preterm births were also associated with risk of only ENND, LNND, and PNND among the second most recent births. Preterm births were associated with risk of only ENND and LNND among the third most recent births. Preterm births were also associated with ENND, LNND, and PNND in the mother fixed-effects regressions. This study establishes associations of preterm birth with ENND, LNND, and PNND in India using over 0.2 million births that occurred in 5 years preceding one of the largest population-based representative household surveys conducted in any part of the world. Our findings call for programmatic and policy interventions to address the considerable burden of preterm birth in the country.

Machine learning analysis of non-marital sexual violence in India.

BACKGROUND: Machine learning techniques can explore low prevalence data to offer insight into identification of factors associated with non-marital sexual violence (NMSV). NMSV in India is a health and human rights concern that disproportionately affects adolescents, is under-reported, and not well understood or addressed in the country. METHODS: We applied machine learning methods to retrospective cross-sectional data from India's nationally-representative National Family Health Survey 4, a demographic and health study conducted in 2015-16, which offers 4000+ variables as potential independent variables. We used Least Absolute Shrinkage and Selection Operator (lasso) or L-1 regularized logistic regression models as well as L-2 regularized logistic regression or ridge models; we conducted an iterative thematic analysis (ITA) of variables generated from a series of regularized models. FINDINGS: Thematic analysis of regularized models highlight that past exposure to violence was most predictive of NMSV, followed by geography, sexual behavior, and poor sexual and reproductive health knowledge. After these, indicators largely related to resources and autonomy (e.g., access to health services, and income generating) were associated with NMSV. Exploratory analysis with the subsample of never married adolescents 15-19 years old, a population with higher representation of recent NMSV, further emphasized the role of wealth and mobility as key correlates of NMSV, along with poor HIV knowledge, tobacco use, higher fertility preferences, and attitudes accepting of marital violence. INTERPRETATION: Findings indicate the validity of machine learning with iterative theme analysis (ITA) to identify factors associated with violence. Findings were consistent with prior work demonstrating associations between NMSV and other violence experiences, but also showed novel correlates such as lower SRH knowledge and service utilization and, for girls, norms and preferences suggesting more restrictive gender norms. Sexual and reproductive health, gender equity and safety focused interventions are important for addressing NMSV in India, particularly for adolescents.

The association between intimate partner violence and recent self-managed abortion in India.

BACKGROUND: Previous studies have shown that women who experience intimate partner violence have higher rates of unintended pregnancy and abortion-but whether there are differences between the types of abortion care accessed is unknown. Understanding the predictors of self-managed abortion is important for providing risk-mitigating information and resources to those at highest risk for unintended pregnancy and intimate partner violence. With access to information and medication abortion drugs, it is possible that self-managed abortion can be performed safely, increasing reproductive autonomy for women. OBJECTIVE: The purpose of this study is to evaluate the association between experiencing intimate partner violence and using self-managed abortion. STUDY DESIGN: This is a cross-sectional analysis of responses of 57,090 married women to the National Family Health Survey-4 conducted across India from 2015 to 2016. The association between the type of intimate partner violence and self-managed abortion was analyzed using multivariable multinomial logistic regression. RESULTS: Women who have ever experienced physical intimate partner violence were more likely to have any abortion (adjusted relative risk=1.5; 95% confidence interval, 1.2-2.0) and use self-managed abortion (adjusted relative risk=1.7; 95% confidence interval, 1.1-2.6) than women who have not experienced physical intimate partner violence. Women who have ever experienced sexual intimate partner violence may have been more likely to use self-managed abortion, though this association was not statistically significant (adjusted relative risk=2.7; 95% confidence interval, 0.7-10.4). CONCLUSION: Women who have experienced physical intimate partner violence disproportionately use abortion care, both facility-based and self-managed. Women who have experienced sexual intimate partner violence may also be more likely to use self-managed abortion. Although abortion is legal, self-managed abortion is commonly occurring in India. Self-managed abortion represents an additional choice and enhances reproductive autonomy in settings where abortion is legal. The implementation of risk-mitigation resources and policies regarding self-managed abortion would provide protection and enhanced autonomy to susceptible groups across India.

Household sanitation access and risk for non-marital sexual violence among a nationally representative sample of women in India, 2015-16.

BACKGROUND: Lack of household sanitation, specifically toilet facilities, can adversely affect the safety of women and girls by requiring them to leave their households to defecate alone and at night, leaving them more vulnerable to non-marital sexual violence. This study analyzes the association between household sanitation access and past year victimization from non-marital sexual violence (NMSV) in India. METHODS: We analyzed 74,698 women age 15-49 from whom information on NMSV was collected in India's National Family Health Survey 2015-16 (NFHS-4). We used multivariable logistic regression to test the relationship between women's household sanitation access and recent NMSV experience, controlling for socioeconomics (SES;e.g., age, marital status, caste, wealth, employment), for the total sample and stratified by rural/urban, given lower access to sanitation and lower NMSV in rural contexts. RESULTS: We found that 46.2% of households in our sample lacked their own private sanitation facilities (58.0% rural; 24.5% urban) and were forced to openly defecate (37.3%) or walk to a shared sanitation facility (8.9%), and 0.45% of women report NMSV in the last 12 months (0.33% rural; 0.68% urban). Our multivariable model indicated no significant association between having private household sanitation facilities and NMSV for the total sample, but stratified analyses indicate a significant association for rural but not urban women. In rural India, those who lack private household sanitation, compared to those with a household toilet, have significantly greater odds of NMSV (AOR = 2.45; p < 0.05). These findings persist after accounting for demographics including age and marital status, socio-economic factors related to marginalization (e.g., caste, wealth), women's employment, and the overall climate of the state. CONCLUSION: Findings from this study support prior research suggesting that poor access to sanitation is associated with women's risk for NMSV in rural India. This may be via increased exposure, and/or as a marker for greater vulnerability to NMSV beyond what is explained by other SES indicators. Solutions can include increased access to private household sanitation and more targeted NMSV prevention in rural India.

Planning for work: Exploring the relationship between contraceptive use and women's sector-specific employment in India.

While the health-related benefits of contraceptive use for women are well documented, potential social benefits, including enabling women's employment, have not been well researched. We examine the relationship between contraceptive use and women's employment in India, a country where both factors have remained relatively static over the past ten years. We use data from India's 2015-16 National Family Health Survey to test the association between current contraceptive use (none, sterilization, IUD, condom, pill, rhythm method or withdrawal) and current employment status (none, professional, clerical or sales, agricultural, services or production) with multivariable, multinomial regression; variable selection was guided by a directed acyclic graph. More than three-quarters of women in this sample were currently using contraception; sterilization was most common. Women who were sterilized or chose traditional contraception, relative to those not using contraception, were more likely to be employed in the agricultural and production sectors, versus not being employed (sterilization adjusted relative risk ratio [aRRR] = 1.5, p<0.001 for both agricultural and production sectors; rhythm aRRR = 1.5, p = 0.01 for agriculture; withdrawal aRRR = 1.5, p = 0.02 for production). In contrast, women with IUDs, compared to those who not using contraception, were more likely to be employed in the professional sector versus not being employed (aRRR = 1.9, p = 0.01). The associations between current contraceptive use and employment were heterogeneous across methods and sectors, though in no case was contraceptive use significantly associated with lower relative probabilities of employment. Policies designed to support women's access to contraception should consider the sector-specific employment of the populations they target.

Access to women physicians and uptake of reproductive, maternal and child health services in India.

BACKGROUND: Low availability of women physicians in rural areas can compromise women's health care seeking, where need can be greatest. We examined the associations between availability of women physicians and maternal and child health service utilization in India. METHODS: We analyzed cross-sectional district-level data from all 256 districts in 18 states, from India's District-Level Household and Facility Survey (2012-13) and the National Family Health Survey (2015-16). Assessed measures included lady medical officers (LMOs) availability at Primary Health Centers (PHCs, which are largely rural serving), modern contraceptive use, antenatal care (ANC), skilled birth attendance (SBA), maternal postnatal care (PNC), infant PNC, and child immunization. Multilevel regression models nesting districts in states examined associations between LMO availability and health service utilization, adjusting for district-level socioeconomic status (SES) indicators (e.g., women's education, household water access), urbanicity, health insurance coverage and sampled PHCs (15 on average) within districts. FINDINGS: Only 72 of 256 districts (28.1%) reported >50% of PHCs with LMOs. In multivariable models, LMO availability in PHCs was associated with higher district prevalence (%) of modern contraceptive use [ß=0.04 (95% CI: 0.007, 0.08)], 4+ ANC [ß =0.07 (95% CI: 0.008, 0.13)], skilled birth attendance [ß=0.09 (0.03, 0.14) and maternal PNC [ß=0.08 (95% CI: 0.03, 0.12)], but not infant PNC or child immunization. INTERPRETATION: Higher district availability of women physicians is associated with higher maternal health care utilization but not child health care utilization. Improving gender parity in the physician workforce and rural women physician access may improve maternal health care use in India.

Application of machine learning to understand child marriage in India.

BACKGROUND: Prior research documents that India has the greatest number of girls married as minors of any nation in the world, increasing social and health risks for both these young wives and their children. While the prevalence of child marriage has declined in the nation, more work is needed to accelerate this decline and the negative consequences of the practice. Expanded targets for intervention require greater identification of these targets. Machine learning can offer insight into identification of novel factors associated with child marriage that can serve as targets for intervention. METHODS: We applied machine learning methods to retrospective cross-sectional survey data from India on demographics and health, the nationally-representative National Family Health Survey, conducted in 2015-16. We analyzed data using a traditional regression model, with child marriage as the dependent variable, and 4000+ variables from the survey as the independent variables. We also used three commonly used machine learning algorithms- Least Absolute Shrinkage and Selection Operator (lasso) or L-1 regularized logistic regression models; L2 regularized logistic regression or ridge models; and neural network models. Finally, we developed and applied a novel and rigorous approach involving expert qualitative review and coding of variables generated from an iterative series of regularized models to assess thematically key variable groupings associated with child marriage. FINDINGS: Analyses revealed that regularized logistic and neural network applications demonstrated better accuracy and lower error rates than traditional logistic regression, with a greater number of features and variables generated. Regularized models highlight higher fertility and contraception, longer duration of marriage, geographic, and socioeconomic vulnerabilities as key correlates; findings shown in prior research. However, our novel method involving expert qualitative coding of variables generated from iterative regularized models and resultant thematic generation offered clarity on variables not focused upon in prior research, specifically non-utilization of health system benefits related to nutrition for mothers and infants. INTERPRETATION: Machine learning appears to be a valid means of identifying key correlates of child marriage in India and, via our innovative iterative thematic approach, can be useful to identify novel variables associated with this outcome. Findings related to low nutritional service uptake also demonstrate the need for more focus on public health outreach for nutritional programs tailored to this population.

Short interpregnancy interval and low birth weight births in India: Evidence from National Family Health Survey 2015-16.

Evidence on the effect of interpregnancy interval (IPI) on low birth weight (LBW) births is limited in developing countries including India. Our study aims to examine association between IPI and LBW births in India. We used data from the fourth round of the National Family Health Survey (NFHS-4) conducted in 2015-16 with a representative sample of 52,825 most recent births for examining the association between IPI and LBW. IPI is defined as the gap between the first month in which the index pregnancy was reported in the reproductive calendar (referred to as the month of conception) and the month of pregnancy outcome (including live births and terminations) of preceding pregnancy. Reproductive calendar data were used to estimate IPI. Association between IPI and LBW were examined using multivariable binary logistic regressions. Seventeen percent of the births in our sample were LBW, and more than half (57.6%) of these were accompanied with IPI less than 18 months. Prevalence of LBW births was highest among mother's who had IPI less than six months (19.4%). Regression results, adjusted for control variables, indicate that the risk of LBW was significantly higher among births whose mothers had IPI less than six months (odds ratio: 1.19, 95% CI:1.05-1.36) compared with those whose mothers had IPI between 18 and 23 months. This study provides additional evidence on the association between short IPI (<6 months) and LBW births in India. Promoting spacing methods of family planning is an option that India may consider for increasing the IPI and thereby reducing LBW births. Ensuring recommended iron and folic acid tablets/equivalent syrup and TT injections for every pregnant woman may offset the adverse consequences of shorter IPI.

Mapping the patchwork: Exploring the subnational heterogeneity of child marriage in India.

Despite dramatic reductions in child marriage over the past decade, more than one in four girls in India still marry before reaching age 18. This practice is driven by a complex interplay of social and normative beliefs and values that are inadequately represented in national- or even state-level analyses of the drivers of child marriage. A geographic lens was employed to assess variations in child marriage prevalence across Indian districts, identify hot and cold spots, and quantify spatial dependence and heterogeneity in factors associated with district levels of child marriage. Data were derived from the 2015-16 National Family Health Survey and the 2011 India Census, and represent 636 districts in total. Analyses included global Moran's I, LISAs, spatial Durbin regression and geographically weighted regression. This study finds wide inter- and intra-state heterogeneity in levels of child marriage across India. District levels of child marriage were strongly influenced by geographic characteristics, and even more so by the geographic characteristics of neighboring districts. Districts with higher levels of female mobile phone access and newspaper use had lower levels of child marriage. These relationships, however, were all subject to substantial local spatial heterogeneity. The results indicate that characteristics of neighboring districts, as well as characteristics of a district itself, are important in explaining levels of child marriage, and that those relationships are not constant across India. Child marriage reduction programs that are targeted within specific administrative boundaries may thus be undermined by geographic delineations that do not necessarily reflect the independent and interdependent characteristics of the communities who live therein. The geographic, social and normative characteristics of local communities are key considerations in future child marriage programs and policies.

More than credit: Exploring associations between microcredit programs and maternal and reproductive health service utilization in India.

Microcredit programs are increasingly popular interventions aimed at enabling women's economic empowerment in low- and middle-income countries. Resultant improved income, and social support from co-members of microcredit programs, may lead to increased utilization of health services. But existing research is inconclusive. This study investigates the association of microcredit program awareness and participation, with maternal and postpartum reproductive health service utilization in India. We use data from a nationally representative survey, the National Family Health Survey (2015-16), and assess three indicators of maternal health service utilization: receipt of four or more antenatal check-ups, institutional delivery, and postnatal check-up among women who had a child less than 5 years of age (N = 32,880). Reproductive health service utilization is assessed via postpartum contraceptive use within 12 months of childbirth, among women who had a live birth in the 12-59 months preceding the survey (N = 24,258). We use binomial and multinomial logistic regression models to examine associations. Additionally, we use propensity score matching to account for self-selection bias. One-third of women are aware of microcredit programs in their community/village, but only 6% have ever taken a loan from these programs. Both microcredit program awareness and participation are associated with higher odds of antenatal care, postnatal check-ups, as well as use of a modern method of contraceptive within 12 months of childbirth, even after accounting for self-selection bias. Stratified analysis by household wealth show that significant associations seen in our primary analyses are significant only for the poorest women. Findings highlight the potential value of microcredit programs in improving health service utilization during and after pregnancy, particularly among poor women. Microcredit program benefits extend beyond their participants. Non-participants living close to the programs also have greater odds of maternal and reproductive health service utilization, suggesting a spillover effect of these programs at the community level.

Does owning a bank account improve reproductive and maternal health services utilization and behavior in India? Evidence from the National Family Health Survey 2015-16.

•Ownership of a bank account is associated with improved reproductive and maternal health services utilization and behaviour.•Observed associations are strongest in states where the utilization of studied services is far below the national average.•No association is found between women's ownership of a bank account and institutional delivery.