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.

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Background Contraceptive use contributes to improved maternal and child health, education, empowerment of women, slow population growth, and economic development. The role of the family in influencing women’s health and health-seeking behavior is undergoing significant changes, owing to higher education, media exposure, and numerous government initiatives, in addition to women’s enhanced agency across South Asia. Against this backdrop, this study assesses the relationship between women’s living arrangements and contraceptive methods used in selected south Asian countries (India, Pakistan, Nepal, and Bangladesh). Methods Data of currently married women aged 15–49 from the recent round of Demographic and Health Survey (DHS) of four South Asian countries, i.e., Nepal (2016), Pakistan (2017–18), Bangladesh (2017–18), and India (2019–21) had been used. Bivariate and multinomial logistic regression was performed using Stata with a 5% significance level. Results Living arrangement of women had a significant association with contraceptive use in South Asia. The Mother-in-law (MIL) influenced the contraceptive method used by the Daughter-in-law (DIL), albeit a country-specific method choice. Modern limiting methods were significantly higher among women living with MIL in India. The use of the modern spacing method was considerably high among women co-residing with husband and/or unmarried child(ren) and MIL in Nepal and India. In Bangladesh, women living with husband and other family member including MIL were more likely to use modern spacing methods.. Women co-residing with the MIL had a higher likelihood of using any traditional contraceptive method in India. Conclusions The study suggests family planning program to cover MIL for enhancing their understanding on the benefits of contraceptive use and modifying norms around fertility. Strengthening the interaction between the grassroots level health workers and the MIL, enhancing social network of DIL may help informed choice and enhance the use of modern spacing methods. Women’s family planning demands met with modern contraception, and informed contraceptive choices, must also be achieved to reach the 2030 Agenda for Sustainable Development.

Aim: Contraceptive use and its correlates among young women continue to draw research attention due to its implication for fertility reduction, improved maternal and child health, and sexual and reproductive rights. This study explores the association between pregnancy history and contraceptive use among currently married young women (aged 15-24 years at childbirth) in India. Method: Data from the National Family Health Survey (2019-2021) was analyzed through STATA with a significance level of 5%. The births in the last 5 years preceding the survey to the women aged 15-24 years at childbirth (n = 127 954) were considered for analysis. Multinomial logistic regression was used to check the unadjusted and adjusted effects of the pregnancy history on contraceptive use. Results: Young women with a history of mistimed pregnancy had significantly lower odds of using modern limiting methods of contraception (odds ratio [OR] = 0.90, confidence interval [CI] = 0.82-0.98), and those with a prior unwanted pregnancy were more likely to use modern limiting methods of contraception (OR = 1.75, CI = 1.57-1.95). Conclusion: Pregnancy history influences young married women's current contraceptive use in India. Family planning programs may use the contacts with antenatal, delivery, and post-delivery care system as an opportunity to identify women with an unwanted pregnancy, especially those educationally and economically weaker, for targeted information and service delivery. Better counseling of potential young contraceptive acceptors will ensure informed decision-making and increased use of modern spacing methods.

Background: Child labour is a big problem. Studies have indicated several problems of child labour. However, few studies have indicated the characteristics of child labour rural India. Objectives: This study has explored characteristics of child labour and their families in the rural community of eastern India and also identified their health problems. Methods: A cross-sectional study was designed to explore their characteristics in purposively selected areas in rural Howrah, India. Frequency table and bar-diagrams were used. Results: The study identified 72% boys and 28% girls as child labour. Majority of the children (67.9%) were labour because they wanted to help their parents. In 8.9% cases, they were forced to work by their parents. In 5.4% cases, they were orphans. Majority of the children were not satisfied (78.6%) with their job place and job status. Conclusions: Child labourers are not satisfied with their job. Their money is used in family. Parents are illiterate. Lack of effective education system and availability of functional schools are both causes and consequences of child labour. Due to illiteracy, working conditions for these children get worse as they are not even aware of the occupational benefits.