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.

Regional variations and inequalities in testing for early detection of breast and cervical cancer: evidence from a nationally representative survey in India.

BACKGROUND: The burden of cancer in India has been rising, yet testing for early detection remains low. This study explored inequalities in the uptake of breast cancer (BC) examination and cervical cancer (CC) among Indian women, focusing on socioeconomic, regional, and educational differences. METHODS: Data from the 2019-21 National Family Health Survey (n=353,518) were used to assess the uptake of BC examination and CC testing. Inequalities were quantified using the slope index of inequality (SII), relative index of inequality (RII), and relative concentration index (RCI). SII measured absolute inequality, while RII and RCI assessed relative inequality between disadvantaged and advantaged groups. RESULTS: The ever uptake of tests for early detection of BC and CC were low at 9 and 20 per 1,000 women, respectively. Higher uptake was observed among women from the richest households compared to the poorest (SII: 1.1 for BC and 1.8 for CC). The magnitude of relative socioeconomic inequalities was more pronounced in rural areas (RCI: 22.5 for BC and 21.3 for CC) compared to urban areas. Similarly, higher-educated women were 4.84 times (RII: 4.84) and 2.12 times (RII: 2.12) more likely to undergo BC examination and CC testing, respectively, compared to non-educated women. The northeastern region exhibited greater socioeconomic inequality, while the western region showed more education-based inequality. CONCLUSION: The lower uptake of BC examination and CC testing and the marked inequalities underscore the need for targeted interventions to improve access and utilization of testing services, especially among lower-educated women, and those in rural areas.

Spatial heterogeneity in unintended pregnancy and its determinants in India.

BACKGROUND: Understanding the geographic variation of unintended pregnancy is crucial for informing tailored policies and programs to improve maternal and child health outcomes. Although spatial analyses of unintended pregnancy have been conducted in several developing countries, such research is lacking in India. This study addresses this gap by investigating the geographic distribution and determinants of unintended pregnancy in India. METHODS: We analysed data from the National Family Health Survey-5 encompassing 232,920 pregnancies occurring between 2014 and 2021 in India. We conducted a spatial analysis to investigate the distribution of unintended pregnancies at both state and district levels using choropleth maps. To assess spatial autocorrelation, Global Moran's I statistic was employed. Cluster and outlier analysis techniques were then utilized to identify significant clusters of unintended pregnancies across India. Furthermore, we employed Spatial Lag Model (SLM) and Spatial Error Model (SEM) to investigate the factors influencing the occurrence of unintended pregnancies within districts. RESULTS: The national rate of unintended pregnancy in India is approximately 9.1%, but this rate varies significantly between different states and districts of India. The rate exceeded 10% in the states situated in the northern plain such as Haryana, Delhi, Uttar Pradesh, Bihar, and West Bengal, as well as in the Himalayan states of Himachal Pradesh, Uttarakhand, Sikkim, and Arunachal Pradesh. Moreover, within these states, numerous districts reported rates exceeding 15%. The results of Global Moran's I indicated a statistically significant geographical clustering of unintended pregnancy rates at the district level, with a coefficient of 0.47 (p < 0.01). Cluster and outlier analysis further identified three major high-high clusters, predominantly located in the districts of Arunachal Pradesh, northern West Bengal, Bihar, western Uttar Pradesh, Haryana, Delhi, alongside a few smaller clusters in Odisha, Madhya Pradesh, Uttarakhand, and Himachal Pradesh. This geographic clustering of unintended pregnancy may be attributed to factors such as unmet needs for family planning, preferences for smaller family sizes, or the desire for male children. Results from the SEM underscored that parity and use of modern contraceptive were statistically significant predictors of unintended pregnancy at the district level. CONCLUSION: Our analysis of comprehensive, nationally representative data from NFHS-5 in India reveals significant geographical disparities in unintended pregnancies, evident at both state and district levels. These findings underscore the critical importance of targeted policy interventions, particularly in geographical hotspots, to effectively reduce unintended pregnancy rates and can contribute significantly to improving reproductive 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.

Factors associated with under-five mortality in Scheduled Tribes in India: An analysis of national family health survey-5 (2019-2021).

Background & objectives Under-five mortality is high among the Scheduled Tribes (ST) in India compared with the general population. This study examined the association of different maternal, child, socio demographic, and household factors associated with under-five mortality among Scheduled Tribes in India. Methods Data from the National Family and Health Survey (NFHS)-5 (2019-2021) for the ST, across all Indian States and Union Territories were used for analyses. Binary and multivariate logistic regression were performed to identify the association of maternal, child, socio-demographic, and household factors with under-five mortality among the ST population. Results Different maternal, child, socio demographic, and household factors were significantly associated with under-five mortality. The odds of under-five mortality were highest among women who gave birth to their children at home [Adjusted odds ratio (AOR): 1.42; 95% confidence interval (CI): 1.268-1.59] as compared with women who gave birth at institution. Literate women have lesser odds of under-five mortality than women with no formal education (AOR: 0.666; 95% CI: 0.501-0.885). The risk of under-five mortality was higher among four or more birth order children (AOR: 1.422; 95% CI: 1.246-1.624) compared with the first to third birth order children. The odds of under-five mortality decreased among children with a rich wealth index (AOR: 0.742; 95% CI: 0.592-0.93) compared to children with a poor wealth index. Interpretation & conclusions Analyses of under-five mortality among ST in India showed a significant association between different maternal, child, sociodemographic, and household factors. Grass-roots-level interventions such as promoting female education, addressing vast wealth differentials, and providing family planning services with a focus on reducing under-five mortality are essential in improving the survival of under-five children among the ST population in India.

Hypertension in India: a gender-based study of prevalence and associated risk factors.

BACKGROUND: Hypertension, a major non-communicable disease, is responsible for a significant number of global deaths, including approximately 17.9 million yearly. The Global Burden of Disease 2019 (GBD 2019) estimates that 19% of global deaths are attributed to elevated blood pressure. India, with a population of over 1.4 billion, is facing a serious challenge in combating this silent killer. This study aims to analyze the gender-based prevalence of hypertension in India and explore its associated risk factors using data from the fifth National Family Health Survey (NFHS-5). METHODS: NFHS-5 collected data from 636,699 households across all states and union territories. The study includes standardized blood pressure measurements for 17,08,241 individuals aged 15 and above. The data were analyzed using Stata, employing descriptive statistics for the assessment of the prevalence and binary logistic regression to identify predictors of hypertension. RESULTS: The study found the overall prevalence of hypertension in India to be 22.6%, with men (24.1%) having a higher prevalence than women (21.2%). Prevalence increased with age, reaching 48.4% in individuals aged 60 and above. Urban residents had a slightly higher prevalence (25%) than rural residents (21.4%), indicating the rapid spread of hypertension across all populations. Regional variations were observed, with the highest prevalence in Sikkim (37.9%) and the lowest in Rajasthan (16.5%). Increasing age, urban residence, belonging to certain religions (Muslim and other than Hindu or Muslim), and being classified as Scheduled Tribes (ST) were associated with a higher likelihood of hypertension. Conversely, belonging to Scheduled Castes (SC) or Other Backward Classes (OBC), being currently unmarried, and having higher education were associated with a lower likelihood of hypertension. Wealth index analysis revealed that those in the richest quintile were more likely to have hypertension. Behavioural risk factors, such as alcohol consumption, overweight, obesity, increased waist circumference, and high blood glucose levels, are positively associated with hypertension. CONCLUSION: Hypertension is a significant health burden in India, affecting both men and women. Age is the strongest non-modifiable predictor for both men and women. However, ageing women have higher odds of hypertension than ageing men, and this distinction becomes much more evident in their older ages. Obese women, based on BMI, have higher odds of hypertension than men. However, hypertension prevalence is slightly higher among men who are overweight or obese compared to women. BMI, waist circumference, random glucose level, alcohol use, and education level emerged as major predictors. Health education and awareness campaigns are critical to control the growing burden of hypertension in India. Policymakers must focus on preventive measures, targeting lifestyle changes and improved healthcare access for both men and women. By addressing these risk factors, India can make significant progress in controlling hypertension and reducing its impact on public health.

Trends and predictors of severe and moderate anaemia among children aged 6-59 months in India: an analysis of three rounds of National Family Health Survey (NFHS) data.

BACKGROUND: Childhood anaemia remains a significant public health problem in India, as it adversely affects child development and overall health outcomes. This study aimed to analyse the prevalence of severe and moderate anaemia among children aged 6-59 months and identify consistent predictors of this condition over the past 15 years. METHODS: Data from the three most recent rounds of the NFHS were used for this analysis. The final weighted sample included 40,331 children from the NFHS-3 (2005-2006), 200,093 from the NFHS-4 (2015-2016), and 178,909 from the NFHS-5 (2019-2021). Descriptive and bivariate analyses were conducted, followed by binary logistic regression to identify factors associated with severe and moderate anaemia in children aged 6-59 months. All statistical analyses were performed using Stata version 14. RESULTS: Over the past 15 years, the prevalence of severe and moderate anaemia among children in India has shown a slight decline. However, the influence of various predictors has changed over time. Young children (aged 6-23 months), those from Scheduled Caste (SC) and Scheduled Tribe (ST) communities, and children born to mothers with high parity and low educational attainment remain particularly vulnerable to anaemia. Additionally, short-term illness significantly increases the risk of anaemia. Furthermore, women's autonomy, indicated by higher education and lower fertility rates, along with maternal nutrition education, have emerged as key factors in reducing anaemia burden in the future. Notably, children whose mothers had no education were 1.4 times more likely to suffer from severe or moderate anaemia. Similarly, children born to mothers with four to five children (OR 1.1, p < 0.05) and those with six or more children (OR 1.2, p < 0.05) had an elevated risk of anaemia. CONCLUSION: The findings highlight three key areas for programmatic focus to accelerate anaemia reduction in India: [1] targeting young children (aged 6-23 months); [2] ensuring the inclusion of SC and ST communities in all relevant interventions; and [3] promoting women's autonomy. These strategies are essential for reducing the burden of anaemia across the country.

Anaemia among lactating adolescents (15-19 years) in India: a repeated cross-sectional analysis of the NFHS data (2005-2021).

BACKGROUND: Anaemia continues to be a pressing public health concern in India. Despite the high burden of anaemia among lactating adolescents in the country, research addressing this concern among this population remains scarce. Hence, this study attempted to examine the prevalence and determinants of anaemia among lactating adolescents in India. METHODS: We used data from three latest rounds of the National Family Health Survey (NFHS) carried out in 2005-06, 2015-16, and 2019-21 and analysed a pooled sample of 10,689 lactating adolescents aged 15-19 years from these three rounds. Bivariate statistics was used to analyse the prevalence of anaemia according to the background characteristics of lactating adolescents. Further, binary multivariate logistic regression was carried out to examine the factors associated with anaemia in the study population. RESULTS: Three in every five lactating adolescents from the pooled sample were found to have anaemia (66.98% in NFHS-3, 61.08% in NFHS-4 and 66.27% in NFHS-5). Lactating adolescents with a higher education had a 30% lower likelihood [adjusted odds ratio (AOR): 0.70, 95% CI: 0.49-1.01, p = 0.050] of being anaemic compared to those with no education. The likelihood of being anaemic among the poorest quintile was 41% (AOR: 1.41, 1.12-1.77; p = 0.003) higher than those from the richest quintile. Lactating adolescents from the Scheduled Tribe category had higher odds (AOR: 1.29, 95% CI: 1.01-1.46, p = 0.001) of anaemia than those categorised as 'Others'. Those living in rural areas were 22% more likely to suffer from anaemia (AOR: 1.22, 95% CI: 1.00-1.26, p = 0.050) compared to their urban counterparts. Additionally, underweight lactating adolescents were 15% more likely (AOR: 1.15, 95% CI: 1.05-1.26, p = 0.002) to be anaemic than those with normal BMI. Odds of being anaemic were higher among the ones receiving supplementary nutrition during pregnancy (AOR: 1.18, 95% CI: 1.08-1.29, p < 0.001) in contrast to those not receiving. CONCLUSION: The consistently high prevalence of anemia among lactating adolescents, especially among those with lower education level, rural residence, underweight status, and belonging to ST category and poorest quintile, underscore the urgent need for targeted public health interventions to address and reduce anemia in this population.

Trends, patterns and predictors of high-risk fertility behaviour among Indian women: evidence from National Family Health Survey.

BACKGROUND: Numerous studies have demonstrated that high-risk fertility behaviour (HRFB), which includes maternal age below 18 or above 34 years, short birth intervals (less than 24 months), and high parity (birth order above 4), is associated with adverse maternal and child health outcomes. There is a substantial research gap in the domain of high-risk fertility behaviour in the Indian context. Therefore, this study is designed to investigate the current trends and patterns in the prevalence of high-risk births among Indian women, with a primary focus on identifying contributing factors associated with this prevalence. METHODS: The study utilized data from the nationally representative National Family Health Survey (NFHS), which has been conducted in five rounds since 1992-93. Data from all rounds were used to assess the overall trend. However, data from the most recent round of NFHS, conducted during 2019-21, were employed to evaluate current levels and patterns of HRFB prevalence and to identify socio-economic and demographic predictors of HRFB using binomial and multinomial logistic regression models. RESULTS: The prevalence of HRFB has exhibited a consistent decreasing pattern from 1992 to 93 to 2019-21 in India. However, 29.56% of married women continue to experience high-risk births with notably higher rates in several states (e.g., 49.85% in Meghalaya and 46.41% in Bihar). Furthermore, socio-demographic factors like wealth index, educational level, social group, religion, mass media exposure, family size, age at marriage, type and region of residence, and reproductive factors like birth intention, place and type of delivery, ANC visits and current contraceptive use were identified as significant predictors of high-risk births among women in India. CONCLUSION: Despite a 20.4 percentage point decline in HRFB prevalence over the past three decades, a significant proportion of women in specific regions and demographic subgroups continue to experience high-risk births. Therefore, the present study recommends interventions aimed at preventing high-risk births among women in India, with particular emphasis on states with high HRFB prevalence and women from socioeconomically disadvantaged backgrounds.

Distribution and determinants of early marriage and motherhood: a multilevel and geospatial analysis of 707 districts in India.

BACKGROUND: Early marriage and motherhood have long been prevalent in India, with 44.5% of women aged 20-24 reporting marriage before 18 in NFHS 3 (2005-2006), dropping to 26.8% in NFHS 4 (2015-2016). Early motherhood has also seen a significant decline, with first births by age 18 decreasing from 34.3% in NFHS I to 8.2% in NFHS V. Despite these improvements, significant regional disparities persist due to social, normative, and legal factors. This study investigates the spatial heterogeneity of early marriage and motherhood across Indian districts, offering a multilevel analysis that reveals critical local variations often obscured at broader levels. Understanding these patterns is crucial for targeted policy interventions and addressing the root causes of early marriage and motherhood. METHODS: Utilizing data from the fifth round of National Family Health Survey, this study employs multilevel logistic regression and geospatial analysis to assess the determinants and spatial distribution of early marriage and early motherhood among ever-married women in India. The analysis incorporates individual, household, and community-level variables, complemented by spatial analysis techniques, including Empirical Bayes Bivariate Moran's I values and LISA cluster maps, to identify regional patterns and hotspots. RESULTS: This study revealed that educational attainment emerged as a critical determinant, with uneducated women significantly more likely to marry early. Socioeconomic factors, such as poverty and limited mass media exposure, also heightened the risk of early marriage and motherhood. Caste and religion were significantly associated with these events, with marginalized groups facing higher prevalence. Spatial analysis revealed significant geographic disparities, with central and eastern regions showing higher concentrations of early marriage and motherhood. District-level characteristics and the influence of neighboring districts were also significant, highlighting the importance of localized interventions. CONCLUSIONS: The findings underscore the critical role of education, economic empowerment, and media literacy in mitigating early marriage and motherhood risks. The study calls for multi-sectoral interventions in geographical hotspots to break the cycle of early family formation and promote reproductive health. Policies enhancing educational opportunities, addressing economic disadvantages, and considering district-specific factors are essential. Comprehensive strategies are necessary to empower women, foster reproductive health, and address the multifaceted nature of early marriage and motherhood in India.

Prevalence and determinants of anaemia among women of reproductive age in Aspirational Districts of India: an analysis of NFHS 4 and NFHS 5 data.

BACKGROUND: Over one-third of women worldwide suffer from anaemia. The prevalence of anaemia is particularly pronounced among women of reproductive age (WRA) in developing countries, such as India. No prior study has ever exclusively studied the prevalence of anaemia across the Aspirational Districts of India. Therefore, the purpose of this study was to examine the prevalence of anaemia across Aspirational Districts of India and to identify the determinants of anaemia among WRA in these districts. METHODS: From the National Family Health Survey (NFHS)-4 (2015-16) and NFHS-5 (2019-21), data on 114,444 and 108,782 women aged 15-49 from Aspirational Districts were analyzed in our study, respectively. Bivariate statistics and multivariable binary logistic regression were used to identify the determinants of anaemia. RESULTS: The national prevalence of anaemia among WRA has increased from 53% in NFHS-4 to 57% in NFHS-5 whereas anaemia among WRA in Aspirational Districts has increased from 58.7% in NFHS-4 to 61.1% in NFHS-5. Between 2015 and 2021, over 60% of Aspirational Districts experienced an increase in the prevalence of anaemia and one-fourth, specifically 29 out of 112, observed a rise by at least 10 percentage points (pp). Notably, there are significant variations in anaemia prevalence among districts, with Simdega and Udalgiri having the highest anaemia prevalence in NFHS-4 and NFHS-5 at 78.2% and 81.5%, respectively. During this period, Barpeta followed by Udalgiri of Assam have witnessed the maximum increase with 29.4% and 26.7% respectively. Moreover, pooled regression results show women with three to four children [AOR: 1.13, 95% CI: 1.08-1.17], women who breastfeed [AOR: 1.17, 95% CI: 1.13-1.20], Scheduled Tribe women [AOR: 1.39, 95% CI: 1.35-1.44], poorest women [AOR: 1.27, 95% CI: 1.22-1.33] and women those who consume fish occasionally [AOR: 1.14, 95% CI: 1.12-1.17] were more likely to be anaemic. CONCLUSION: The significant increase in anaemia among WRA in Aspirational Districts of India is a matter of concern. Given the rise in anaemia among WRA, determinants-based and district-specific measures must be designed and implemented to reduce the prevalence of anaemia among Aspirational Districts of India.

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.

Trends in prevalence of unmet need for family planning in India: patterns of change across 36 States and Union Territories, 1993-2021.

BACKGROUND: Eliminating unmet need for family planning by 2030 is a global priority for ensuring healthy lives and promoting well-being for all at all ages. We estimate the sub-national trends in prevalence of unmet need for family planning over 30 years in India and study differences based on socio-economic and demographic factors. METHODS: We used data from five National Family Health Surveys (NFHS) conducted between 1993 to 2021 for the 36 states/Union Territories (UTs) of India. The study population included women of ages 15-49 years who were married or in a union at the time of the survey. The outcome was unmet need for family planning which captures the prevalence of fecund and sexually active women not using contraception, who want to delay or limit childbearing. We calculated the standardized absolute change to estimate the change in prevalence on an annual basis across all states/UTs. We examined the patterning of prevalence of across demographic and socioeconomic characteristics and estimated the headcount of women with unmet need in 2021. RESULTS: The prevalence of unmet need in India decreased from 20·6% (95% CI: 20·1- 21·2%) in 1993, to 9·4% (95% CI: 9·3-9·6%) in 2021. Median unmet need prevalence across states/UTs decreased from 17·80% in 1993 to 8·95% in 2021. The north-eastern states of Meghalaya (26·9%, 95% CI: 25·3-28·6%) and Mizoram (18·9%, 95% CI: 17·2-20·6%), followed by the northern states of Bihar (13·6%, 95% CI: 13·1-14·1%) and Uttar Pradesh (12·9%, 95% CI: 12·5-13·2%), had the highest unmet need prevalence in 2021. As of 2021, the estimated number of women with an unmet need for family planning was 24,194,428. Uttar Pradesh, Bihar, Maharashtra, and West Bengal accounted for half of this headcount. Women of ages 15-19 and those belonging the poorest wealth quintile had a relatively high prevalence of unmet need in 2021. CONCLUSIONS: The existing initiatives under the National Family Planning Programme should be strengthened, and new policies should be developed with a focus on states/UTs with high prevalence, to ensure unmet need for family planning is eliminated by 2030.

This study looked at the trends in unmet need for family planning in India, which is defined as the percentage of women of reproductive age who want to delay or limit childbearing but are not using any contraceptive method. A public dataset was used to analyze national and sub-national trends from 1993 to 2021. It was determined that although the percentage prevalence of unmet need decreased in the last 30 years, there were still a substantial number of women with unmet need in 2021. More than half of these women were in Uttar Pradesh, Bihar, Maharashtra, and West Bengal. Furthermore, it was found that percentage prevalence of unmet need was relatively higher amongst younger women and those belonging to poorer households in 2021. Initiatives and policies aimed at reducing unmet need for family planning should be implemented while considering geographic, socioeconomic, and demographic differences.

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.

Rural-urban differentials in undernutrition among women in India: Evidence from a decomposition approach.

Background: Global healthcare and nutrition policies have not eliminated the pressing public health issue of undernutrition, which remains a paramount public health concern in countries like India, coinciding with overweight and obesity, in the form of dual burden of malnutrition. Aim: This study delves into the rural-urban differential in undernutrition among reproductive-aged women in India for targeted policy interventions and to achieve universal health coverage. Methods: Data from the recent iteration of the National Family Health Survey (NFHS-5; 2019-21) were utilized to examine the factors influencing rural-urban differentials in women's undernutrition. A set of logistic regression and Fairlie's decomposition analysis are employed to identify the associated covariates and understand the factors driving these differentials. Results: The analysis reveals that rural women are significantly more vulnerable to undernutrition compared to urban counterparts, with factors such as education, wealth status, age, and dietary diversity playing key roles. The decomposition analysis of the rural-urban gap revealed that the variables considered in the study accounted for approximately 75% of the disparity. The difference in household wealth between rural and urban areas contributed about 63% of the explained gap, followed by educational status (16%), age group (11%), dietary diversity (8%), religion (5%), and media exposure (4%). Conclusion: The findings underscore the importance of targeted interventions addressing socio-economic inequalities to mitigate undernutrition among women in India. Enhancing access to education, improving economic opportunities, promoting dietary diversity, and challenging cultural norms are crucial steps towards achieving equitable nutritional outcomes and reducing the existing rural-urban disparity.

Utilization and determinants of adequate quality antenatal care services in India: evidence from the National Family Health Survey (NFHS-5) (2019-21).

BACKGROUND: Pregnancy-related complications and insufficiencies in antenatal care services are leading causes of maternal and infant morbidity and mortality in low-resource settings. However, there has been an undue focus on achieving a minimum number of Antenatal Care (ANC) visits without adequate focus on the factors affecting ANC service utilization. This secondary data analysis from the fifth round of the National Family Health Survey (NFHS-5, 2019-21) was conducted to estimate the coverage of adequate quality ANC service and its determinants in India. METHODS: The study sample included 176,877 women aged 15-49 years who had experienced a pregnancy in the last 5 years. The primary outcome variable was the utilization of ANC services by women during their last pregnancy assessed by the frequency of ANC visits and the quality of ANC services. Quality of ANC service utilisation was categorised as adequate quality, inadequate quality and ≥ 4 ANC visits and, inadequate quality and < 4 ANC visits. We performed multinomial logistic regression and reported relative risk ratio (RRR) along with 95% confidence intervals. We adjusted for sampling weight, clustering, and stratification in the sampling design. RESULTS: The median (IQR) number of ANC visits attended by a woman during her previous pregnancy was 4 (IQR 3-7). A majority (59.25%) of the women reported availing of ≥ 4 antenatal care (ANC) visits during their previous pregnancy while 6.12% of women reported availing no ANC visits in their last pregnancy. Women aged ≥ 30 years were significantly less likely (aRRR 0.73 95% CI 0.66, 0.80) to receive ANC services of inadequate quality, and < 4 ANC visits. Additionally, any exposure to mass media (aRRR 0.69 95% CI 0.66, 0.73), and having health insurance (aRRR 0.71 95% CI 0.68, 0.75) decreased their risk of receiving inadequate quality ANC services and < 4 ANC visits. Women belonging to the richest wealth quintile (aRRR 0.52 95% CI 0.47,0.58) and those with an intended pregnancy (aRRR 0.62 95% CI 0.58 ,0.66) were at significantly lower risk of utilizing inadequate quality ANC services and < 4 ANC visits. CONCLUSION: Although nearly 3 in 5 women in India utilized a minimum mandated ≥ 4 ANC visits during their last pregnancy, only one in five of those received adequate quality of ANC services indicating suboptimal content. However, only one in five women utilized the WHO-mandated ≥ 8 ANC visits for a positive pregnancy experience. Furthermore, 14.3% of the women received ANC services of inadequate quality despite attending ≥ 4 ANC visits in their previous pregnancy. Our study emphasized the importance of the quality of ANC services utilised irrespective of number of ANC visits availed. Efforts should be undertaken to enhance the utilization of antenatal care (ANC) services by implementing media initiatives that aim to raise awareness, particularly among women belonging to disadvantaged population groups.

Increase in birthweight coverage of neonatal deaths is needed to monitor low birthweight prevalence in India: lessons from the National Family Health Survey.

BACKGROUND: Low birthweight (LBW), defined as birthweight < 2500gms, is the largest contributor to the malnutrition disability-adjusted-live-years in India. We report on the inadequacy of birthweight data, which is a significant barrier in the understanding of LBW epidemiology, to address malnutrition in India. METHODS: Data from the recent round of the National Family Survey (NFHS-5) were utilised. Birthweight of livebirths in the last 5 years was documented in grams either from the health card or based on mother's recall. We computed the coverage of birthweight measurement availability and the extent of heaping (values of 2500, 3000 and 3500gms) by the place of delivery and by the survival of newborn during the neonatal period. Heaping of > 55% was considered as poor-quality birthweight data. LBW prevalence per 100 livebirths was estimated and extrapolated for under-reporting of birthweight. Findings are reported for India and its 30 states. RESULTS: Birthweight measurement coverage irrespective of the place of delivery was (89·8%; 95% CI 89·7-90) for India, and varied by 2 times among the states with the highest coverage in Tamil Nadu (99·3%) and the lowest in Nagaland (49·7%). Home deliveries had the least coverage of birthweight measurement (49.6%; 95% CI 49.0-50.1) as compared with public health facility (96.3%; 95% CI 96.2-96.3) and private health facility (96%; 95% CI 95.8-96.1) deliveries. This coverage was 66·5% (95% CI 65·2-67·7) among neonatal deaths as compared with 90.4 (95% CI 90.3-90.6) for livebirths who survived the neonatal period for India. The proportion of health card as the data source increased for livebirths born in year 2015 to year 2020 but then dropped for livebirths born in year 2021 (p < 0.001). The proportion of heaping was 52·0% (95% CI 51·7-52·2) in the recorded birthweight for India, and heaping > 55% was seen in 10 states irrespective of the type data source; and 3 states in addition had heaping > 55% in mother's recall. LBW prevalence was estimated at 17·4% (95% CI 17·3-17·6) for India, and ranged from 4.5% in Nagaland and Mizoram to 22.5% in Punjab for livebirths for whom birthweight was available. We estimated LBW at 77.8% for whom birthweight was not available, and the adjusted LBW prevalence for all livebirths was estimated at 23.5% (95% CI 23.3-23.8) for India. CONCLUSIONS: Without measuring birthweight for every newborn irrespective of the survival and place of delivery, India may not able to address reduction in low birthweight and neonatal mortality effectively to meet global or national targets.

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.