Wealth-based disparities in the prevalence of short birth interval in India: insights from NFHS-5.

BACKGROUND: Short birth interval (SBI) has profound implications for the health of both mothers and children, yet there remains a notable dearth of studies addressing wealth-based inequality in SBI and its associated factors in India. This study aims to address this gap by investigating wealth-based disparities in SBI and identifying the underlying factors associated with SBI in India. METHODS: We used information on 109,439 women of reproductive age (15-49 years) from the fifth round of the National Family Health Survey (2019-21). We assessed wealth-based inequality in SBI for India and its states using the Erreygers Normalised Concentration Index (ECI). Additionally, we used a multilevel binary logistic regression to assess the factors associated with SBI in India. RESULTS: In India, the prevalence of SBI was 47.8% [95% CI: 47.4, 48.3] during 2019-21, with significant variation across states. Bihar reported the highest prevalence of SBI at 61.2%, while Sikkim the lowest at 18.1%. SBI prevalence was higher among poorer mothers compared to richer ones (Richest: 33.8% vs. Poorest: 52.9%). This wealth-based inequality was visible in the ECI as well (ECI= -0.13, p < 0.001). However, ECI varied considerably across the states. Gujarat, Punjab, and Manipur exhibited the highest levels of wealth-based inequality (ECI= -0.28, p < 0.001), whereas Kerala showed minimal wealth-based inequality (ECI= -0.01, p = 0.643). Multilevel logistic regression analysis identified several factors associated with SBI. Mothers aged 15-24 (OR: 12.01, p < 0.001) and 25-34 (2.92, < 0.001) were more likely to experience SBI. Women who married after age 25 (3.17, < 0.001) and those belonging to Scheduled Caste (1.18, < 0.001), Scheduled Tribes (1.14, < 0.001), and Other Backward Classes (1.12, < 0.001) also had higher odds of SBI. Additionally, the odds of SBI were higher among mothers in the poorest (1.97, < 0.001), poorer (1.73, < 0.001), middle (1.62, < 0.001), and richer (1.39, < 0.001) quintiles compared to the richest quintile. Women whose last child had passed away were also significantly more likely to have SBI (2.35, < 0.001). Furthermore, mothers from communities with lower average schooling levels (1.18, < 0.001) were more likely to have SBI. Geographically, mothers from eastern (0.67, < 0.001) and northeastern (0.44, < 0.001) regions of India were less likely to have SBI. CONCLUSION: The significant wealth-based inequality in SBI in India highlights the need for targeted interventions focusing on economically disadvantaged women, particularly in states with high SBI prevalence. Special attention should be given to younger mothers and those from socially disadvantaged groups to enhance maternal and child health outcomes across the country.

Prevalence of intimate partner violence among Indian women and their determinants: a cross-sectional study from national family health survey - 5.

INTRODUCTION: Intimate partner violence (IPV) can be described as a violation of human rights that results from gender inequality. It has arisen as a contemporary issue in societies from both developing and industrialized countries and an impediment to long-term development. This study evaluates the prevalence of IPV and its variants among the empowerment status of women and identify the associated sociodemographic parameters, linked to IPV. METHODS: This study is based on data from the National Family Health Survey (NFHS) of India, 2019-21 a nationwide survey that provides scientific data on health and family welfare. Prevalence of IPV were estimated among variouss social and demographic strata. Pearson chi-square test was used to estimate the strength of association between each possible covariate and IPV. Significantly associated covariates (from univariate logistic regression) were further analyzed through separate bivariate logistic models for each of the components of IPV, viz-a-viz sexual, emotional, physical and severe violence of the partners. RESULTS: The prevalence of IPV among empowered women was found to be 26.21%. Among those who had experienced IPV, two-thirds (60%) were faced the physical violence. When compared to highly empowered women, less empowered women were 74% more likely to face emotional abuse. Alcohol consumption by a partner was established to be attributing immensely for any kind of violence, including sexual violence [AOR: 3.28 (2.83-3.81)]. CONCLUSIONS: Our research found that less empowered women experience all forms of IPV compared to more empowered women. More efforts should to taken by government and other stakeholders to promote women empowerment by improving education, autonomy and decision-making ability.

Wealth and education-related inequalities in the utilisation of reproductive, maternal, newborn, and child health interventions within scheduled tribes in India: an analysis of Odisha and Jharkhand.

BACKGROUND: The utilisation of Reproductive, Maternal, Newborn and Child Health (RMNCH) services remains lower among the Scheduled Tribes (ST) in India than among the rest of the country's population. The tribal population's poorest and least-educated households are further denied access to RMNCH care due to the intersection of their social status, wealth, and education levels. The study analyses the wealth- and education-related inequalities in the utilisation of RMNCH services within the ST population in Odisha and Jharkhand. METHODOLOGY: We have constructed two summary measures, namely, the Co-coverage indicator and a modified Composite Coverage Index (CC), to determine wealth- and education-related inequalities in the utilisation of RMNCH indicators within the ST population in Odisha and Jharkhand. The absolute and relative inequalities with respect to wealth and education within the ST population are estimated by employing the Slope Index of Inequality (SII) and the Relative Index of Inequality (RII). RESULTS: The results of the study highlight that access to RMNCH services is easier for women who are better educated and belong to wealthier households. The SII and RII values in the co-coverage indicator and modified CCI exhibit an increase in wealth-related inequalities in Odisha between NFHS-4 (2015-16) and NFHS-5 (2019-21) whereas in Jharkhand, the wealth- and education-related absolute and relative inequalities present a reduction between 2016 and 2021. Among the indicators, utilisation of vaccination was high, while the uptake of Antenatal Care Centre Visits and Vitamin A supplementation should be improved. INTERPRETATION: The study results underscore the urgent need of targeted policies and interventions to address the inequalities in accessing RMNCH services among ST communities. A multi-dimensional approach that considers the socioeconomic, cultural and geographical factors affecting healthcare should be adopted while formulating health policies to reduce inequalities in access to healthcare.

Who is Anaemic in India? Intersections of class, caste, and gender.

Anaemia severely impacts physical and mental abilities, raises health risks, and diminishes the quality of life and work capacity. It is a leading cause of adverse pregnancy outcomes and maternal mortality, especially in developing nations like India, where recent data on anaemia from National Family and Health Survey (NFHS-4) (2015-16) and NFHS-5 (2019-21) indicate a tremendous rise. Anaemia is a marker of poor nutrition and health, and socio-economic factors such as gender norms, race, income, and living conditions influence its impact. As a result, there are disparities in how anaemia affects different segments of society. However, existing research on health inequity and anaemia often employs a single-axis analytical framework of social power. These studies operate under the assumption that gender, economic class, ethnicity, and caste are inherently distinct and mutually exclusive categories and fail to provide a comprehensive understanding of anaemia prevalence. Therefore, the study has adopted the theoretical framework of intersectionality and analysed the NFHS-5 (2019-21) data using bivariate cross-tabulations and binary logistic regression models to understand how gender, class, caste, and place of residence are associated with the prevalence of anaemia. The results suggest that the women of Scheduled Tribes (ST) and Scheduled Castes (SC) share a disproportionate burden of anaemia. This study confirms that economic class and gender, geographical location, level of education, and body mass index significantly determine the prevalence of anaemia. The ST and SC women who are economically marginalised and reside in rural areas with high levels of poverty, exclusion, and poor nutritional status have a higher prevalence of anaemia than other population groups. Thus, the study suggests that intersections of multiple factors such as caste, class, gender, and place of residence significantly determine 'who is anaemic in India'.

Tobacco and alcohol use among lactating women and its association with child nutrition in India: findings from National Family Health Survey 2019-2021.

OBJECTIVES: Tobacco use is one of the greatest public health problems in the world. Prevalence of alcohol and tobacco use among lactating women ranged between 35.9-83.0% and 1.4-6.1%, respectively, in various parts of the world. Both alcohol and nicotine pass quickly into breast milk. The objective of this study is to estimate the prevalence of alcohol and tobacco use in lactating women and its association with having underweight, stunted, and wasted nursing children in India. The study also draws comparisons to identify the common associated socio-economic factors for alcohol and tobacco use among lactating women and having underweight, stunted, and/or wasted children. STUDY DESIGN: A cross-sectional analytical study involving secondary data from the National Family Health Survey-5. METHODS: A cross-sectional analytical study involving secondary data from the National Family Health Survey-5 conducted nationally in community settings in two phases during 2019-2021. Alcohol and tobacco use among lactating women was self-reported, and the nutritional status of children was assess anthropometrically during the survey and categorised into under-weight, stunted, and wasted as per standardised growth charts. RESULTS: prevalence of tobacco use among currently lactating mothers in India was 3.24%. Prevalence of alcohol use among currently lactating mothers was 0.57%. Nursing children of mothers consuming alcohol had significantly higher odds of being wasted [OR = 1.44; (95% CI = 1.07-1.92)]. Richer wealth index {compared to poor, poorer [OR = 0.74; (95% CI = 0.59-0.91)], rich [OR = 0.64; (95% CI = 0.50-0.84)], richer [OR = 0.46; (95% CI = 0.33-0.65)], richest [OR = 0.19; (95% CI = 0.11-0.33)]}, higher education status {compared to illiterate, secondary education [OR = 0.79; (95% CI = 0.63-0.97)], higher education [OR = 0.38; (95% CI = 0.24-0.62)]}, and non-tribal ethnicity [OR = 0.40; (95% CI = 0.33-0.50)] were found to be significantly associated with lower odds of alcohol and tobacco use among lactating mothers. Age, religion, residence, and occupation were also found to be significantly associated. CONCLUSIONS: Lactating women with lower education status or belonging to lower income groups needs to be prioritised for further qualitative assessment of alcohol and tobacco use during lactation. Our study reflects the national and state-level prevalence of alcohol and tobacco use among lactating women, which often masks the local and community-level intricacies. There is a need to further explore local and community-level factors affecting alcohol use during lactation and its association with child nutrition.

Variations in the prevalence of caesarean section deliveries in India between 2016 and 2021 - an analysis of Tamil Nadu and Chhattisgarh.

BACKGROUND: The prevalence of C-sections in India increased from 17.2% to 2006 to 21.5% in 2021. This study examines the variations in C-section prevalence and the factors correlating to these variations in Tamil Nadu (TN) and Chhattisgarh (CG). METHODS: Delivery by C-section as the outcome variable and several demographic, socio-economic, and clinical variables were considered as explanatory variables to draw inferences from unit-level data from the National Family Health Survey (NFHS-4; 2015-16 and NFHS-5; 2019-21). Descriptive statistics, bivariate percentage distribution, Pearson's Chi-square test, and multivariate binary logistic regression models were employed. The Slope Index of Inequality (SII) and the Concentration Index (CIX) were used to analyse absolute and relative inequality in C-section rates across wealth quintiles in public- and private-sector institutions. RESULTS: The prevalence of C-sections increased across India, TN and CG despite a decrease in pregnancy complications among the study participants. The odds of caesarean deliveries among overweight women were twice (OR = 2.11; 95% CI 1.95-2.29; NFHS-5) those for underweight women. Women aged 35-49 were also twice (OR = 2.10; 95% CI 1.92-2.29; NFHS-5) as likely as those aged 15-24 to have C-sections. In India, women delivering in private health facilities had nearly four times higher odds (OR = 3.90; 95% CI 3.74-4.06; NFHS-5) of having a C-section; in CG, the odds were nearly ten-fold (OR = 9.57; 95% CI:7.51,12.20; NFHS-5); and in TN, nearly three-fold (OR = 2.65; 95% CI-2.27-3.10; NFHS-5) compared to those delivering in public facilities. In public facilities, absolute inequality by wealth quintile in C-section prevalence across India and in CG increased in the five years until 2021, indicating that the rich increasingly delivered via C-sections. In private facilities, the gap in C-section prevalence between the poor (the bottom two quintiles) and the non-poor narrowed across India. In TN, the pattern was inverted in 2021, with an alarming 73% of the poor delivering via C-sections compared to 64% of those classified as non-poor. CONCLUSION: The type of health facility (public or private) had the most impact on whether delivery was by C-section. In India and CG, the rich are more likely to have C-sections, both in the private and in the public sector. In TN, a state with good health indicators overall, the poor are surprisingly more likely to have C-sections in the private sector. While the reasons for this inversion are not immediately evident, the implications are worrisome and pose public health policy challenges.

Prevalence and correlates of low birth weight in India: findings from national family health survey 5.

BACKGROUND: Childhood mortality and morbidity has become a major public health issue in low-middle-income countries. However, evidence suggested that Low birth weight(LBW) is one of the most important risk factors for childhood deaths and disability.This study is designed to estimate the prevalence of low birth weight (LBW) in India and to identify maternal correlates associated with LBW. METHODS: Data has been taken from National Family Health Survey 5 (2019-2021) for analysis. 149,279 women belonging to reproductive age group (15-49) year who had last recent most delivery preceding the NFHS-5 survey. RESULTS: Mother's age, female child, birth interval of less than 24 months, their low educational level, low wealth index, rural residence, lack of insurance coverage, women with low BMI, anaemia, and no ANC visits during pregnancy are predictors that contribute to LBW in India. After adjusting for covariates, smoking and alcohol consupmtion is strongly correlated with LBW. CONCLUSION: Mother's age, educational attainment and socioeconomic status of living has a highly significant with LBW in India. However, consumption of tobacco and cigarrettes are also associated with LBW.

Out-of-pocket expenditure and its correlates for institutional deliveries in private and public healthcare sectors in India: findings from NFHS 5.

BACKGROUND: Increased coverage for institutional delivery (ID) is one of the essential factors for improved maternal and child health (MCH). Though, ID increased over time, out-of-pocket expenditure (OOPE) for the care-seeking families had been found to be growing, parallelly. Hence, we estimated OOPE in public and private health centres for ID, along with their sources and attributing factors and compared state and union territory-wise, so that financial risk protection can be improved for MCH related services. METHODS: We used women's data from the National Family Health Survey, 2019-2021 (NFHS-5). Reproductive aged women (15-49 years) delivering one live child in last 5 years (n = 145,386) in any public or private institutions, were included. Descriptive statistics were presented as frequency and proportions. OOPE, was summarized as median and interquartile range (IQR). To estimate the extent for each covariate's effect, linear regression model was conducted. RESULTS: Overall median OOPE for ID was Rs. 4066 (median OOPE: private hospitals: Rs.25600, public hospitals: Rs.2067). Health insurance was not sufficient to slash OOPE down at private facilities. Factors associated significantly to high OOPE were mothers' education, elderly pregnancy, complicated delivery, birth order of the latest child etc. CONCLUSION: A standard norm for ID should be implemented as a component of overseeing and controlling inequality. Aiding the needy is probably just one side of the solution, while the focus is required to be shifted towards reducing disparity among the health facilities, so that the beneficiaries do not need to spend on essential services or during emergencies.

Contribution of low birth weight to childhood undernutrition in India: evidence from the national family health survey 2019-2021.

BACKGROUND: Infants born with low birth weight (LBW), i.e. less than 2500g, is considered an important factor of malnutrition in Asia. In India, research related to this issue is still neglected and limited. Evidence exists that a large number of child deaths occur in India due to maternal and child malnutrition-related complications. Moreover, it has been found that the cost of malnutrition in India results in a significant reduction of the country's Gross Domestic Product (GDP). Thus, in this current context, this study aims to explore the contribution of low birth weight to childhood undernutrition in India. METHODS: The study used data from the 5th round of the National Family Health Survey (NFHS-5), a large-scale survey conducted in India. The survey collected information from 176,843 mothers and 232,920 children. The study used the last birth information (last children born 5 years preceding the survey) due to the detailed availability of maternal care information. Univariate and bivariate analyses were conducted to determine the percentage distribution of outcome variables. Multivariate logistic regression was employed to examine the association between LBW and undernutrition (stunting, wasting, and underweight). The study also used the Fairlie decomposition analysis to estimate the contribution of LBW to undernutrition among Indian children. RESULTS: The results show that childhood undernutrition was higher in states like Uttar Pradesh, Bihar, Jharkhand, Gujarat, and Maharashtra. The results of the logistic regression analysis show that infants born with low birth weight were more likely to be stunted (OR = 1.46; 95% CI: 1.41-1.50), wasted (OR = 1.33; 95% CI: 1.27-1.37), and underweight (OR = 1.76; 95% CI: 1.70-1.82) in their childhood compared to infants born without low birth weight. The findings from the decomposition analysis explained that approximately 14.8% of the difference in stunting, 10.4% in wasting, and 9.6% in underweight among children born with low birth weight after controlling for the individuals' selected characteristics. CONCLUSION: The findings suggest that LBW has a significant contribution to malnutrition. The study suggests that policymakers should prioritize strengthening maternal and child healthcare schemes, particularly focusing on antenatal and postnatal care, as well as kangaroo mother care at the grassroots level to reduce the burden of LBW and undernourished children.

Marginalised social groups differentials in nutritional status (BMI) among reproductive-aged women in West Bengal.

BACKGROUND: SCs and STs, historically marginalized communities in India, have been subjected to social and economic discrimination for centuries. Despite affirmative action policies, these communities face systemic discrimination and exclusion in various aspects of their lives. Poor health conditions among SC and ST women are caused by insufficient consumption of nutritious food, leading to undernutrition and related health issues. To address gaps in the literature regarding the nutritional status of these women, this study aims to compare the BMI of SC and ST women in West Bengal and investigate the factors affecting their BMI. The study's findings can inform targeted interventions to improve the nutritional status of SC and ST women in West Bengal and reduce disparities in their health outcomes. MATERIALS AND METHODS: This study analyzed data from the National Family Health Survey (NFHS-5) to examine the distribution of underweight and  non-underweight SC and ST women in West Bengal. The sample included 5,961 non-pregnant reproductive-aged SC women and 1,496 non-pregnant reproductive-aged ST women. A binary logistic regression model was used to determine how background characteristics affect the nutritional status (BMI) of respondents, while a multivariate decomposition analysis was conducted to identify the covariates contributing to the nutritional status difference between SC and ST women. QGIS 2.18.25 software was utilized to map the spatial distribution of underweight and non-underweight SC and ST reproductive-aged women. RESULTS: This study examines the nutritional status and differential background characteristics among SC and ST women in West Bengal, India. Results show that undernutrition affects the ST population more than the SC population, with age, marital status, religion, place of residence, educational status, and wealth quintile being significant factors affecting nutritional status. Food and dietary habits also impact nutritional status, with milk or curd, pulses or beans, dark green leafy vegetables, eggs, and fish being associated with lower rates of underweight. Binary logistic regression analysis reveals significant associations between socio-demographic factors and underweight status among SC and ST women. Socio-demographic factors were found to be the major contributors to the gap between SC and ST women, followed by food and dietary factors. The study highlights the need for targeted interventions to improve the nutritional status of marginalized communities like SC and ST women in West Bengal. CONCLUSION: The study highlights a significant population suffering from underweight in West Bengal, with socio-economic factors and dietary habits significantly contributing to the nutritional gap between SC and ST reproductive-aged women. Policy implications suggest targeted interventions to improve access to education and employment opportunities and promote a healthy and balanced diet to reduce the gap. Future studies could explore vulnerability risks of these domains.

An update on explaining the rural-urban gap in under-five mortality in India.

BACKGROUND: Rural Indians have higher mortality rates than urban Indians. However, the rural-urban gap in under-five mortality has changed is less researched. This paper aims to assess 1) whether the rural-urban gap in under-five mortality has reduced over time 2) Whether rural children are still experiencing a higher likelihood of death after eliminating the role of other socioeconomic factors 3) What factors are responsible for India's rural-urban gap in under-five mortality. METHODS: We used all rounds for National Family Health Survey data for understanding the trend of rural-urban gap in under-five mortality. Using NFHS-2019-21 data, we carried out a binary logistic regression analysis to examine the factors associated with under-five mortality. Fairlie's decomposition technique was applied to understand the relative contribution of different covariates to the rural-urban gap in under-five mortality. RESULTS: India has witnessed a more than 50% reduction in under-five mortality rate between 1992 and 93 and 2019-21. From 1992 to 93 to 2019-21, the annual decrease in rural and urban under-five mortality is 1.6% and 2.7%, respectively. Yet, rural population still contributes a higher proportion of the under-five deaths. The rural-urban gap in under-five mortality has reduced from 44 per thousand live births in 1992-1993 to 30 per thousand in 2004-2005 which further decreased to 14 per thousand in 2019-2021. There is no disadvantage for the rural children due to their place of residence if they belong to economically well-off household or their mothers are educated. It is wealth index rather than place of residence which determines the under-five mortality. Economic (50.82% contribution) and educational differential (28.57% contribution) are the main reasons for rural-urban under-five mortality gaps. CONCLUSION: The existing rural-urban gap in under-five mortality suggests that the social and health policies need to be need to reach rural children from poor families and uneducated mothers. This call for attention to ensure that the future programme must emphasize mothers from economically and educationally disadvantaged sections. While there should be more emphasis on equal access to health care facilities by the rural population, there should also be an effort to strengthen the rural economy and quality of education.

Prevalence and Associated Risk Factors of Hypertension Among Tribal Population Aged 15-49 in India: Evidence from National Family Health Survey, 2019-2021.

BACKGROUND: Approximately 10% of non-communicable diseases (NCDs) can be attributed to hypertension. The prevalence of hypertension is steadily increasing among urban, rural, and tribal populations alike. There has been a growing incidence of hypertension within underprivileged groups; however, there is a scarcity of research focusing on the risks of hypertension within Indian tribes. The current study aimed to estimate the pooled prevalence of hypertension among tribes and the risk factors of hypertension. METHODS: This study uses data from the fifth phase of the National Family Health Survey (NFHS-5) in India, covering 2,843,917 individuals in 636,699 households. A total of 69,176 individuals belonging to tribal communities aged between 15 and 49, encompassing both males and females, have been incorporated into our study. The study utilized bivariate and multivariable binary logistic regression analyses, which were conducted using the R statistical software. RESULTS: Among 69,176 tribal populations between 15 and 49 years, the overall prevalence of hypertension was 12.54% (8676/69176; 95% CI, 12.29%, 12.79%). The prevalence of hypertension among males was 16.4% and 12.07% among females. Age, gender, education, marital status, smoking, and alcohol consumption were found to be the significant predictors of hypertension among tribes. CONCLUSION: The rising prevalence and potential dangers of hypertension within Indian tribes highlight their epidemiological transition burdened by significant cardiometabolic health concerns, necessitating prompt and ongoing monitoring and surveillance.

Rising premature menopause and variations by education level in India.

The proportion of women experiencing premature menopause is on the rise in India, particularly in the age groups of 30-39 years. Consequently, there is a need to understand the factors influencing the prevalence of premature menopausal status among women. Our study uses the data from 180,743 women gathered during the latest Indian version of the Demography Health Survey (National Family Health Survey-5). Our results suggest that close to 5% of women in rural areas and 3% of women in urban areas experience premature menopause, and this figure varies across Indian States. The regression results show that surgical menopause, lower levels of education, poorer wealth index, rural residence, female sterilization, and insurance coverage are key drivers of premature menopause. One of the striking factors is that the prevalence of premature menopause among those with the lowest levels of education (6.85%) is around seven times higher than those with the highest level of education (0.94%). We conducted a decomposition analysis to delve into the factors contributing to this inequality. The results show that undergoing a hysterectomy (surgical menopause) account for 73% of the gap in premature menopausal rates between women with the lowest and highest levels of education. This indicates that women with poor education are more likely to undergo hysterectomy at a younger age. This finding warrants further exploration as we would expect that women from lower socio-economic background would have limited access to surgical care, however, our results suggest otherwise. This perhaps indicates a lack of awareness, lack of alternative treatment options, and over-reliance on surgical care while neglecting conservative management. Our results have implications for addressing the diverse needs of the increasing number of women in their post-menopause phase and for focusing on conservative treatment options for these women.

Power to choose? Examining the link between contraceptive use decision and domestic violence.

Contraception is a crucial tool that empowers women to control their bodily autonomy. Concurrently, domestic violence remains a pressing public health issue, depleting women's autonomy. We establish a causal link between a woman's contraceptive use decision and the occurrence of intimate partner violence. We use an instrumental variable approach to estimate our causal effects by utilizing nationally representative data for India. Using exogenous variation in the neighbourhood average of women's exposure to family planning messages via radio, we find that if a woman independently makes the decision to use contraceptives, she is at a significantly higher risk of physical, sexual and emotional domestic violence. We estimate the bounds of our effects by assuming the IV to be plausibly exogenous, where we relax the exogeneity condition. Our findings underscore the importance of reproductive health in initiatives that reduce domestic violence and targeted policies that provide support to younger and employed women and those from backward caste and rural areas.

Understanding period product use among young women in rural and urban India from a geospatial perspective.

Ensuring proper menstrual hygiene management remains a significant challenge for young women in India. The term "exclusive use of hygienic period products during menstruation" refers to relying solely on period products like sanitary pads, tampons, or menstrual cups. Poor menstrual hygiene practices not only increase the risk of reproductive tract infections but also lead to various negative health outcomes, including discomfort and potential complications. This study explores factors associated with the exclusive use of period products during menstruation aged 15-24, investigates geographic disparities, examines rural-urban gaps, and assesses inequality in India. Utilizing data from the fifth National Family Health Survey (NFHS-5), responses from 2,41,180 women aged 15 to 24 were analysed using logistic regression and multivariate decomposition analyses to explore socioeconomic predictors. Moran's I statistics also assessed spatial dependency, while Lorenz curves and Gini coefficients measured inequality. Quintile and LISA maps visualized regional disparities. The study found that 76.15% of women in India reported exclusive use of hygienic period products during menstruation. Rural areas reported a lower percentage of exclusive use of hygienic period products (72.32%) during menstruation compared to urban areas (89.37%). Key factors associated with the exclusive use of hygienic period products among 15-24-year-old women in India include age, education, place of residence, wealth, access to media, and healthcare discussions. Geographically, central districts exhibited the lowest coverage (< 65%), while the Southern region reported the highest (> 85). The GINI coefficient of 0.39 highlighted moderate inequality in distribution. Decomposition analysis revealed that household wealth contributed 49.25% to rural-urban differences, followed by education (13.41%), media access (7.97%), and region (4.97%). This study highlights significant regional disparities and low utilization of hygienic period products among young women in India, particularly in central districts. Policymakers should prioritize interventions targeting these regions, addressing socio-economic disparities. Strategies to promote education, improve media access, and enhance household wealth can facilitate menstrual hygiene adoption. Initiatives to reduce sanitary napkin costs and increase accessibility, particularly in rural areas, are crucial to mitigating geographical disparities nationwide.

Investigating the association between floods and low birth weight in India: Using the geospatial approach.

BACKGROUND: Frequent natural disasters like floods pose a major threat to India, with significant implications for public health. Low birth weight (LBW) is a critical global health concern, contributing to neonatal mortality. However, the association between floods and LBW remains underexplored. This study aims to address this gap by investigating the association between flood hazards and LBW in India using a geospatial approach. By analyzing data from the National Family Health Survey (NFHS-5) and flood zonation maps, the study aims to uncover the spatial dynamics of this association, offering insights into the implications of floods on birth weight across diverse geographical regions. METHODS: The study used the fifth round of NFHS data, 2019-21, which involved 202,194 children selected through a multi-stage stratified sampling technique. The Vulnerability Atlas of India 2019 maps were also utilized to classify areas as flood or non-flood zones. Birth weight data from the NFHS-5 were categorized into three groups: very low, low, and normal birth weight (VLBW, LBW and NBW). Control variables including flood exposure, socio-demographic attributes, and geographic region were considered. Bivariate analysis and multinomial logistic regression were employed for statistical analysis. The spatial analysis involved Moran's I statistics and Geographically Weighted Regression to explore spatial dynamics of the association between floods and birth weight in India. RESULTS: Floods predominantly affect India's lower Himalayan belts and western coastal regions. Flood-affected areas show higher proportions of VLBW and LBW infants. Groundwater usage and unimproved sanitation are associated with higher risk of VLBW and LBW. Sex, wealth, maternal education, residence type, and geographic region significantly influence birth weights. Multinomial logistic regression reveals 8 % and 27 % higher risks for LBW and VLBW in flood-affected regions. LISA cluster maps identify high-risk areas for both LBW and floods. Geographically Weighted Regression highlights 52 % of the variability in LBW occurrences can be attributed to the influence of flood hazards. Families hailing from the poorest wealth background and exposed to flood hazards bear a 5 % heightened likelihood of delivering LBW infants, in stark contrast to their counterparts from the same economic background yet unaffected by floods. CONCLUSIONS: The significant association between floods and LBW underscores the importance of robust disaster preparedness and public health strategies. By unraveling the spatial intricacies of flood-induced LBW disparities, this research provides valuable insights for promoting healthier birth outcomes and reducing child mortality rates, particularly in flood-prone regions. These findings emphasize the importance of holistic policies that address both environmental challenges and socioeconomic inequalities to safeguard maternal and infant health across the nation.

Factors Associated with Exclusive Use of Hygienic Methods during Menstruation among Adolescent Girls (15-19 Years) in Urban India: Evidence from NFHS-5.

Background: Menstrual hygiene is a critical public health concern for adolescent girls in urban India. However, there is a paucity of research on this subject, particularly on a national scale. To the best of our knowledge, this study diverges from previous research, as the majority of prior investigations in India have centered on rural locales, married individuals, and those aged between 15 and 24 years. Thus, this study aims to fill this gap by investigating the factors associated with the exclusive use of hygienic methods during menstruation among urban adolescent girls (15-19 years) in India. Method: A total of 25136 samples were included in this analysis from the National Family Health Survey 5 (NFHS-5). The Binary logistic regression model has been administered to determine the associated factors of the exclusive use of hygienic methods among adolescent girls. Results: The results of the multivariate model revealed significant positive associations between higher education levels and usage of menstrual hygiene management products (AOR: 1.860; 95 % CI: 1.418-2.439), (AOR: 2.110; 95 % CI: 1.553-2.867). Additionally, individuals in higher wealth quintiles were more likely to use MHM products, with the richest quintile showing the highest likelihood (AOR: 5.310; 95 % CI: 4.494-6.275). Attendance at cultural events such as cinema or theater was positively associated with MHM product utilization (AOR: 1.338; 95 % CI: 1.181-1.517).Conversely, Lack of access to sanitation facilities was inversely associated with MHM product utilization (AOR: 0.742; 95 % CI: 0.628-0.877). Muslim girls had lower odds than Hindus (AOR: 0.576; 95 % CI: 0.520-0.637). Substantial regional variations were evident, with the Western (AOR: 0.879; 95 % CI: 0.759-1.019), Eastern (AOR: 0.747; 95 % CI: 0.654-0.854), Central (AOR: 0.349; 95 % CI: 0.313-0.388), and North-eastern regions (AOR: 0.597; 95 % CI: 0.490-0.727) displaying diminished odds of MHM product usage relative to the southern region. General caste had higher odds compared to scheduled caste (AOR: 1.255, 95 % CI: 1.103-1.429), while other backward caste had lower odds (AOR: 0.858, 95 % CI: 0.771-0.955). Conclusion: These findings underscore the importance of addressing inequalities in access to menstrual hygiene products among urban adolescent girls in India. Targeted interventions and educational programs are essential to ensure equitable access and promote overall health and well-being.

Women's Empowerment in India: State-Wise Insights From the National Family Health Survey 5.

Background Women's empowerment is critical for achieving gender equality and societal progress. Despite various efforts, significant disparities in women's empowerment persist across different states in India. This study aims to provide a comprehensive assessment of women's empowerment using data from the National Family Health Survey 5 (NFHS-5). Methods Data from the NFHS-5, collected between June 2019 and April 2021, were used. The Women's Empowerment Index (WEI) was calculated for each of the 28 states based on four dimensions: economic empowerment, decision-making, health and nutrition, and gender roles. Statistical analysis, including Pearson and Spearman correlations, was conducted to assess associations between WEI and various socioeconomic variables. Results The WEI ranged from 17.4 to 27.4, with a mean of 21.3 ± 2.6. Goa, Sikkim, and Himachal Pradesh had the highest WEI scores, while West Bengal, Andhra Pradesh, and Telangana had the lowest. Economic empowerment was highest in Karnataka, Sikkim, and Arunachal Pradesh. Decision-making scores were highest in Nagaland, Mizoram, and Goa. Health and nutrition scores were highest in Goa, Sikkim, and Uttarakhand. Positive gender roles were most prominent in Himachal Pradesh, Nagaland, and Goa. Significant correlations were found between WEI and per capita net state domestic product, literacy rates, median age at marriage, and total fertility rate. Conclusion The study highlights substantial variations in women's empowerment across Indian states, influenced by socioeconomic, health, and educational factors. Targeted interventions are needed to address specific barriers and promote gender equality. Future research should evaluate the effectiveness of these interventions and explore additional factors influencing women's empowerment.

Determinants of public institutional births in India: An analysis using the National Family Health Survey (NFHS-5) factsheet data.

Background: Institutional births ensure deliveries happen under the supervision of skilled healthcare personnel in an enabling environment. For countries like India, with high neonatal and maternal mortalities, achieving 100% coverage of institutional births is a top policy priority. In this respect, public health institutions have a key role, given that they remain the preferred choice by most of the population, owing to the existing barriers to healthcare access. While research in this domain has focused on private health institutions, there are limited studies, especially in the Indian context, that look at the enablers of institutional births in public health facilities. In this study, we look to identify the significant predictors of institutional birth in public health facilities in India. Method: We rely on the National Family Health Survey (NFHS-5) factsheet data for analysis. Our dependent variable (DV) in this study is the % of institutional births in public health facilities. We first use Welch's t-test to determine if there is any significant difference between urban and rural areas in terms of the DV. We then use multiple linear regression and partial F-test to identify the best-fit model that predicts the variation in the DV. We generate two models in this study and use Akaike's Information Criterion (AIC) and adjusted R2 values to identify the best-fit model. Results: We find no significant difference between urban and rural areas (P = 0.02, α =0.05) regarding the mean % of institutional births in public health facilities. The best-fit model is an interaction model with a moderate effect size (Adjusted2 = 0.35) and an AIC of 179.93, lower than the competitive model (AIC = 183.56). We find household health insurance (ß = -0.29) and homebirth conducted under the supervision of skilled healthcare personnel (ß = -0.56) to be significant predictors of institutional births in public facilities in India. Additionally, we observe low body mass index (BMI) and obesity to have a synergistic impact on the DV. Our findings show that the interaction between low BMI and obesity has a strong negative influence (ß = -0.61) on institutional births in public health facilities in India. Conclusion: Providing households with health insurance coverage may not improve the utilisation of public health facilities for deliveries in India, where other barriers to public healthcare access exist. Therefore, it is important to look at interventions that minimise the existing barriers to access. While the ultimate objective from a policy perspective should be achieving 100% coverage of institutional births in the long run, a short-term strategy makes sense in the Indian context, especially to manage the complications arising during births outside an institutional setting.

The impact of accredited social health activists in India on uptake of modern contraception: A nationally representative multilevel modelling study.

The government of India introduced the Accredited Social Health Activist (ASHA) programme in 2006 to connect marginalised communities to the health system. ASHAs are mandated to increase the uptake of modern contraception through the doorstep provision of services. There is currently no evidence on the impact of ASHAs on the uptake of contraception at the national level. This paper examines the impact of ASHAs on the uptake of modern contraception using nationally representative National and Family Health Survey data collected in 2019-21 in India. A multilevel logistic regression analysis was performed to determine the effect of contact with ASHAs on the uptake of modern contraception, controlling for regional variability and socio-demographic variables. The data provide strong evidence that ASHAs have succeeded in increasing modern contraceptive use. Women exposed to ASHAs had twice the odds of being current users of modern contraception compared to those with no contact, even after controlling for household and individual characteristics. However, only 28.1% of women nationally reported recent contact with ASHA workers. The ASHA programme should remain central to the strategy of the government of India and should be strengthened to achieve universal access to modern contraception and meet sustainable development goals by 2030.