Dynamics of caste and early childbearing in India: a perspective of three decades.

BACKGROUND: Early childbearing disrupts girls' otherwise healthy growth into adulthood and adversely affects their education, livelihood, and health. Individual, sociocultural, economic, environmental, and health service-related factors contribute to childbearing among young females. In India, caste affects health outcomes despite several affirmative policies aimed at improving the health and welfare of the backward castes/tribes. However, there is a dearth of empirical evidence about the impact of caste on early childbearing, more specifically, regarding the trajectory of inter-caste disparities in early childbearing. METHOD: This study used data from all five rounds of the National Family Health Survey (NFHS) in India to assess the association between caste and early childbearing over the last three decades. All women aged 20-24 [NFHS-1 (n = 17,218), NFHS-2 (n = 15,973), NFHS-3 (n = 22,807), NFHS-4 (n = 122,955) and NFHS-5 (n = 118,700)] were considered to create a pooled data set (n = 297,653) for analysis. Bivariate analysis and binary logistic regression were conducted using Stata (v17). ArcMap (v10.8) presented the caste-wise prevalence of early childbearing among the states and Union Territories (UTs). RESULTS: Many women continue to have early childbearing despite a considerable reduction over the last three decades from 47% in 1992-93 to 15% in 2019-21. Compared to NFHS-1, the odds of early childbearing increased by 15% in NFHS-2 and, after that, declined by 42% in NFHS-3 and 64% in NFHS-4 and NFHS-5. The inter-caste disparity in early childbearing persists, albeit with a narrowing gap, with the Scheduled castes (SC) remaining the most vulnerable group. Adjusting the effects of socio-demographic and economic characteristics, SC women had significantly higher odds of early childbearing (OR = 1.07, CI = 1.04-1.11) than those from the General caste. CONCLUSION: To decrease early childbirth, a focus on adolescent marriage prevention and increasing contraceptive use among young SC women is necessary. Strengthening ongoing programs and policies targeting educational and economic empowerment of the socially weaker castes/tribes will help in reducing early childbearing. Efforts to prevent early childbearing will accelerate the achievement of the Sustainable Development Goals (SDGs)-especially those related to health, poverty, nutrition, education, and general wellbeing, in addition to protecting women's reproductive rights.

Factors affecting pregnancy registration in India: does the pregnancy intention matter?

BACKGROUND: Pregnancy registration is one of the most critical components of women's reproductive health because it is the gateway to entering the continuum of care services such as antenatal care, institutional delivery, and postnatal care. There is a lack of studies exploring the relationship between pregnancy intention and pregnancy registration, especially in the Indian context. METHOD: This study used the National Family Health Survey-5 (2019-21) data to explore the relationship between birth intention and failure of pregnancy registration. The bivariate and multivariate (binary logistic regression) analysis was carried out. RESULTS: Adjusting the effects of socio-demographic and economic characteristics, compared with women with an intended pregnancy, the odds of failure of pregnancy registration were significantly high among women with a mistimed pregnancy (OR = 1.60, 95% CI = 1.47-1.73) and unwanted pregnancy (OR = 1.38, 95% CI = 1.26-1.52). The study found pregnancy intention as a significant predictor of pregnancy registration. CONCLUSIONS: Results suggest strengthening the interaction of grassroots-level health workers with women, especially those with possibly lower healthcare autonomy and unintended pregnancy. Higher and earlier pregnancy registration will enhance maternal healthcare utilization and reduce adverse health consequences to mothers and children, thus ensuring better maternal and child health.

Effectiveness of mobile technology and utilization of maternal and neonatal healthcare in low and middle-income countries (LMICs): a systematic review.

BACKGROUND: Maternal and neonatal mortality are important indicators of the development of a nation and pose a severe health concern, especially in developing and Low and Middle-Income Countries (LMICs). Healthcare providers use various mobile technologies as tools to provide antenatal, delivery, and postnatal care and thereby promote maternal and child health. We conducted a systematic review to critically assess the existing literature on the effectiveness of mobile phone technology in maternal and neonatal healthcare (MNH) utilization, especially in LMICs in Asia and Africa. METHODS: A systematic search strategy was developed, and Boolean combinations of relevant keywords were utilized to search relevant literature on three electronic databases (PubMed/Medline, Scopus, and Google Scholar) from 2012 to 2022. After assessing the inclusion and exclusion criteria, 25 articles were selected for systematic review. A narrative synthesis strategy was applied to summarise the information from the included literature. RESULTS: This review reveals that research and evaluation studies on mobile phone or Mobile Health (mHealth) and MNH service utilization substantially varied by research designs and methodology. Most studies found that mobile phone technology is highly appreciable in improving several MNH indicators, especially in LMICs. Despite the identified benefits of mobile technology in MNH utilization, some studies also mentioned challenges related to technology use and misuse, rich-poor discrimination, and disparity in phone ownership need to be addressed. CONCLUSION: There is constantly increasing evidence of mobile counseling and the use of digital technology in the MNH care system. Public health practitioners and policymakers need to make efforts to smooth the functioning of technology-based healthcare services, considering all the issues related to the confidentiality and safety of health-related data on the Internet.

Exploring the Relationship between Household Structure and Utilisation of Maternal Health Care Services in India.

The role of household structure, especially the mother-in-law (MIL) influencing daughter-in-law's maternal health care (MHC) seeking behaviour, has been a continuing debate due to the former's advantageous position in the household. This study assesses the association of household structure and particularly the presence of MIL with MHC utilisation in India using the National Family Health Survey-4 data (2015-16). The sample of women aged 15-49 years who have given birth during the last five years preceding the survey (n=184,641) was considered for analysis. The outcome variables were full-antenatal care, institutional delivery, and postnatal care. Binary logistic regression was used to check the adjusted effects of the household structure on MHC utilisation. The analyses were done with STATA (version 13) with a significance level of 5%. Adjusting the effects of socio-demographic and economic characteristics, women from non-nuclear households with MIL had higher odds of full-antenatal care (OR= 1.04, CI= 0.99-1.08) and institutional delivery (OR=1.05, CI=1.01- 1.10) than their counterparts from nuclear households. Women from non-nuclear households without MIL had lower chances of postnatal care (OR=0.98, CI=0.96-1.00) than those from nuclear households. The study unearths a very weak association between the presence of MIL in the household and MHC services utilisation of the daughter-in-law, a notable change from the earlier literature often portraying MIL as a barrier.

Why do women abort their pregnancies? Evidence from the National Family Health Survey (2019-21) of India.

Induced abortion is closely associated with maternal morbidity, mortality, and reproductive rights of women and thus continues to draw research interest. This study assesses the reasons for abortion and their predictors using India's National Family Health Survey-5 (2019-21) data. The sample of women aged 15-49 who had terminated their last pregnancy by induced abortion in the five years preceding the survey (n=5835) was considered for analysis. Multinomial logistic regression was used to check the adjusted effects of the socioeconomic predictors on the reasons for abortion. Stata (v16.0) was used for the data analysis. Women were more likely to abort their pregnancy at home/other than in the public health sector if unintended pregnancies (RR: 2.79; CI: 2.15-3.61) and sex-selective abortions (RR: 2.43; CI: 1.67-3.55) rather than life risk. The study found unintended pregnancy as the primary contributor to induced abortion. However, some women undergo the procedure due to medical reasons and the undesired gender of the unborn child. Unintended pregnancies that end in abortion are strongly correlated with gestational age, method of abortion, place of abortion, number of surviving children, religion, place of residence, and region. Again, there is a strong association between the sex-selective reason for abortion and the gestational age, method of abortion, place of abortion, number of surviving children, proper knowledge of the ovulatory cycle, religion, wealth quintile, and region. Women had abortions mainly due to unintended pregnancies, and there was socioeconomic, demographic, and geographic variation in the reasons for abortion in India. Sex-selective abortions continue to exist, especially among women of higher parity, poorest households and from the central, eastern, and north-eastern regions. The key to reducing unintended pregnancies and abortions is raising the understanding of contraception and empowering women in reproductive decisions. Reducing unintended pregnancies will contribute to lower induced abortion and thus improve women's health.

Determinants of nutritional status among under-five children receiving Integrated Child Development Services (ICDS) in India.

Background: Undernutrition is a significant public health problem and the leading risk factor for India's disease burden. Aim: To understand the determinants of nutritional status among under-five children receiving Integrated Child Development Services (ICDS) in India. Methods: The study used the National Family Health Survey-4 (2015-16) data. The analysis was carried out for under-five children who have availed of any ICDS services in the 12 months preceding the survey (n = 1,27,813). Stunting, wasting, and underweight were estimated following the World Health Organization guideline and used as the outcome variables. The binary logistic regression was conducted to examine the association of ICDS utilization and socioeconomic-demographic predictors with under-five children's nutritional status. STATA (V 13) was used for statistical analyses. Results: A sizable proportion of under-five children receiving any ICDS services suffer from undernutrition. The undernutrition prevalence varied considerably by socioeconomic and demographic characteristics. Logistic regression found an insignificant association of ICDS utilization with the nutritional status of under-five children. Children not immunized in ICDS centers were less likely to be stunted (OR: 0.93; P < 0.01), wasted (OR: 0.93; P < 0.01), and underweight (OR: 0.90; P < 0.01) than their counterparts. The child's age and gender, maternal education and nutrition status, wealth index, social group, region, residence, and region were significant determinants of undernutrition among ICDS beneficiaries. Conclusion: The study suggests the need to ensure all available services to children enrolled in the Anganwadi Center (AWC). The program should also emphasize feeding practices and educate parents about improving child health and nutrition.

Determinants of the First Birth Interval Among Women in India.

Objective: The first-birth interval after a marriage indicates the reproduction behavior of women and influences the population's birth rates and size. The present study assesses predictors of the interval between marriage and first childbirth in India. Materials and methods: The study employed the Cox proportional hazard model and Kaplan Meier Survival plot based on the data collected from 79,787 ever-married women in the 15-49 age group from the National Family Health Survey 2019-2021. Results: The median age of marriage to the first birth interval was 23 months in India. The older marriage cohort had longer birth intervals than the younger. The hazard ratios (HR) showed that the risk of first birth after marriage was much higher among women with higher education (HR= 2.05, 95% confidence interval (CI) = 1.98-2.11) than women without education. Women in urban areas (HR=1.22, 95% CI = 1.20-1.25) had a higher risk of first birth after marriage earlier than women from rural areas. Women from North-east (HR=1.14, 95% CI=1.10-1.18) and South (HR=1.15, 95% CI=1.12-1.19) had a higher risk of having their first birth earlier after marriage than women in the North region. The women who married within 18-24 years of age had a 69 percent higher likelihood of first birth interval than those women who were married below the age of 18. The risk of first birth after marriage increased as women delayed marriage up to age 25 years and more (HR=3.18, 95% CI=3.02-3.35) than others. Conclusion: The timing of first birth was associated with the age at the first marital union, women's educational attainment, place of residence, region, economic status, exposure to mass media, contraception use, and history of pregnancy termination.

Contraceptive method use among women in India: Does the family type matter?

The use of contraceptive methods and their correlates continues to be a subject of scientific interest in developing countries, including India, for its contribution to reducing fertility and improving maternal and child health. This study explores the family type and contraceptive use by analyzing the National Family Health Survey-4 data (2015-16). Multinomial logistic regression was used to check the adjusted effects of the predictor variables on contraceptive use. STATA (version 13) was used for the analysis with a significance level of 5 per cent. Adjusting the effects of socio-demographic and economic characteristics, women from nuclear family had 6 per cent lower odds of using modern limiting method (OR = 0.94, 95 per cent CI = 0.92-0.96) and 5 per cent lower odds of using any traditional method of contraception (OR = 0.95, 95 per cent CI = 0.91-0.99) than their counterparts from non-nuclear family with mother-in-law (MIL). Family type, especially the presence of MIL, was associated with daughter-in-law's (DIL) contraceptive behavior. The results based on a nationally representative recent survey contribute to the existing scanty evidence on the association between the MIL and DIL's contraceptive behavior in the Indian context. Results suggest more awareness about the benefits of modern spacing methods among the mothers-in-law, leading to their enhanced use.

Pattern, predictors and clustering of handwashing practices in India.

BACKGROUND: Research on handwashing continues to draw researchers' interest owing to its public health importance and significance in the reduction of infectious diseases. The aims of this study are to: (1) understand the pattern and predictors of handwashing using soap/detergent and water; and (2) assess the spatial clustering of handwashing through soap/detergent and water at the district level in India. METHODS: Data of households where the place for handwashing was observed by the research investigators (n = 582,064), gathered through the National Family Health Survey-4 (2015-2016), were used for this analysis. The availability of soap/detergent and water at the usual place of handwashing was assumed to be used for handwashing. Binary logistic regression was carried out to examine the adjusted effect of socioeconomic characteristics on the use of soap/detergent and water for handwashing. The univariate local indicator of spatial association (LISA) cluster map and Moran's I statistics were applied for assessing spatial autocorrelations at the district level. Analyses were carried out with IBM-SPSS Software. RESULTS: Two-fifths of Indian households do not use both soap/detergent and water for handwashing. Households using both the cleansing elements vary considerably by socioeconomic characteristics- worse for the socioeconomically disadvantaged groups. There is spatial clustering in the use of soap/detergent and water for handwashing: lower in a cluster of districts in eastern India. CONCLUSION: Results suggest the need to generate awareness, particularly among the socioeconomically weaker populations, about advantages of hand hygiene, which will reduce the prevalence of infectious diseases like COVID-19 and be helpful to achieve many Sustainable Development Goals.

Influence of agriculture on child nutrition through child feeding practices in India: A district-level analysis.

Malnutrition continues to be a primary concern for researchers and policymakers in India. There is limited scientific research on the effect of agriculture on child nutrition in the country using a large representative sample. To the best of our knowledge, no study has examined the spatial clustering of child malnutrition and its linkage with agricultural production at the district-level in the country. The present study aims to examine agricultural production's role in improving the nutritional status of Indian children through child feeding practices. The nutritional indicators of children from the National Family Health Survey-4 (2015-16) and the agricultural production data for all the 640 districts of India obtained from the District-Wise Crop Production Statistics (2015-16), published by the Ministry of Agriculture, Government of India were used for the analysis. The statistical analysis was undertaken in STATA (version 14.1). ArcMap (version 10.3), and GeoDa (version 1.8) were used for the spatial analysis. The study found a higher prevalence of malnutrition among children who had not received Minimum Meal Frequency (MMF), Minimum Dietary Diversity (MDD), and Minimum Acceptable Diet (MAD). Further, child feeding practices- MMF, MDD, and MAD- were positively associated with high yield rates of spices and cereals. The yield rate of cash crops, on the contrary, harmed child feeding practices. Production of pulses had a significant positive effect on MDD and MAD. Districts with high cereal yield rates ensured that children receive MMF and MAD. There is a significant spatial association between child feeding practices and malnutrition across Indian districts. The study suggests that adopting nutrient-sensitive agriculture may be the best approach to improving children's nutritional status.

Correlates of tobacco quit attempts and missed opportunity for tobacco cessation among the adult population in India.

INTRODUCTION: Tobacco cessation is crucial to reduce tobacco-related diseases and premature deaths. Quitting efforts can be enhanced through brief routine interventions at health facilities because healthcare providers are highly trusted, resulting in stronger adherence to their advice. MATERIALS AND METHODS: This study used data on tobacco users aged 15-49 years (n = 93,522) collected as part of the fourth round of the National Family Health Survey (NFHS) 2015-16. Bivariate and multivariate analyses were carried out using STATA (version 13) to understand the socioeconomic and demographic correlates of tobacco quit attempts and advice to quit by healthcare providers. GIS map has been used to show inter-state variations in quit attempts and advice. RESULTS: Thirty per cent of the tobacco users were found to have attempted to quit tobacco. Education, mass media exposure, economic status, and chronic disease emerged as enablers, while alcohol use and social backwardness came out as barriers to quit attempts. Quit advice from the healthcare providers was found not to be given frequently (51%) and varied significantly by the socioeconomic and demographic profile of the users. Not all of the tobacco users attempting to quit had been advised to quit, indicating a missed opportunity to intervene and reinforce quitting at a health facility. CONCLUSIONS: Fewer attempts to quit among the adolescents, the less educated, and the users from the poorest households may increase the burden of tobacco-attributable diseases unless timely interventions are made. Better training of the healthcare providers in administering and recommending tobacco cessation and emphasizing on the value of cessation counselling is urgently required to enhance quitting practices and improve health.