Background: Violence against older adults is a well-recognised socio-psychological and public health problem. It is uncared-for, undiagnosed, and an untreated problem that is widespread across both developed and developing countries. The present paper aims to understand the extent of the socio-economic status related inequality in violence against older adults in India. Methods: The study uses data from Building a Knowledge Base on Population Aging in India (BKPAI). Violence against older adults is the outcome variable for the study and is defined as older adults who faced any abuse or violence or neglect or disrespect by any person. Bivariate analysis and regression-based decomposition technique is used to understand the relative contribution of various socio-economic factors to violence against older adults (N = 9541). Results: The prevalence of violence faced by older adults was 11.2%. Older adults aged 80+ years [OR: 1.49; CI: 1.14–1.93] and working [OR: 1.26; CI: 1.02–1.56] had higher likelihood to face violence than their counterparts. On the other hand, older adults who were currently in union [OR: 0.79; CI: 0.65–0.95], lived with children [OR: 0.53; CI: 0.40–0.72] and who belonged to richer wealth quintile [OR: 0.35; CI:0.24–0.51] had lower likelihood to suffer from violence than their counterparts. The decomposition results revealed that poor older adults were more prone to violence (Concentration index: − 0.20). Household’s wealth status was responsible for explaining 93.7% of the socio-economic status related inequality whereas living arrangement of older adults explained 13.7% of the socio-economic related inequality. Education and working status of older adults made a substantial contribution to the inequalities in reported violence, explaining 3.7% and 3.3% of the total inequality, respectively. Conclusion: Though interpretation of the results requires a cautious understanding of the data used, the present study highlights some of the relevant issues faced by the country’s older adults. With no or meagre income of their own, older adults belonging to the poorest wealth quintile have little or no bargaining power to secure a violent free environment for themselves. Therefore, special attention in terms of social and economic support should be given to the economically vulnerable older population.

Background: Although existing research supports the correlation of hereditary and psychological factors with an adolescent’s deliberate self-harm, there is a dearth of research that focus on their socio-economic characteristics. This paper intends to identity the potential risk factors that influence an adolescent’s deliberate self-harm. Methods: Data for this study was obtained from Understanding the Lives of Adolescents and Young Adults (UDAYA) study conducted in 2015–16 with sample of 5,969 adolescent boys and 9,419 girls aged 10–19 years. The outcome variable was deliberate self-harm among adolescents. The explanatory variables added in the study were age, current schooling status, working status, media exposure, access to internet, parental abuse, involvement in fights, substance use, depressive symptoms, caste, religion, wealth index, residence and states. Bivariate analysis along with binary logistic regression analysis was done to fulfill the study objectives. Results: About 4.5% and 3.2% of adolescent boys and girls, respectively had deliberate self-harm. The odds of deliberate self-harm were 50 per cent more likely among adolescent girls who had internet access [OR 1.50; CI 1.05–2.16]. The likelihood of deliberate self-harm was 49 per cent and 61 per cent significantly more likely among adolescent boys [OR 1.49; CI 1.11–2.0] and girls [OR 1.61; CI 1.27–2.04] who experienced parental physical abuse respectively. With reference to minimal/mild depressive symptoms, adolescents who had moderate [boys-OR 2.10; CI 1.29–3.4 and girls-OR 2.50; CI 1.774–3.59] or moderately high/severe [boys-OR 4.58; CI 2.88–7.29 and girls-OR 4.18; CI 3.1–5.63] depressive symptoms had significantly higher odds of deliberate self-harm. Conclusions: Internet access, parental abuse, involvement in fights, and depressive symptoms emerged as significant predictors of deliberate self-harm among adolescent boys and girls. Results suggest that an early identification of the predictors and intervention might prevent deliberate self-harm among adolescents. Since parents play a major role in the lives and development of adolescents, it is highly recommended that they initiate open and supportive communication with their children.

Background: The incidence of preterm birth and subsequent low birth weight (LBW) are vital global public health issues. It contributes to high infant and child mortality in the early stages of life and later on in adult life; it increases the risk for non-communicable diseases. The study aims to understand the socio-economic status-related inequality for LBW among children in India. It hypothesises that there is no association between the socio-economic status of the household and the newborn’s LBW in India. Methods: The study utilised data from the fourth round of the National Family Health Survey, a national representative cross-sectional survey conducted in 2015-16 (N = 127,141). The concentration index (CCI) and the concentration curve (CC) measured socio-economic inequality in low birth status among newborns. Wagstaff decomposition further analysed key contributors in CCI by segregating significant covariates. Results: About 18.2% of children had low birth weight status. The value of concentration was − 0.05 representing that low birth weight status is concentrated among children from lower socio-economic status. Further, the wealth quintile explained 76.6% of the SES related inequality followed by regions of India (− 44%) and the educational status of mothers (43.4%) for LBW among children in India. Additionally, the body mass index of the women (28.4%), ante-natal care (20.8%) and residential status (− 15.7%) explained SES related inequality for LBW among children in India. Conclusion: Adequate attention should be given to the mother’s nutritional status. Awareness of education and usage of health services during pregnancy should be promoted. Further, there is a need to improve the coverage and awareness of the ante-natal care (ANC) program. In such cases, the role of the health workers is of utmost importance. Programs on maternal health services can be merged with maternal nutrition to bring about an overall decline in the LBW of children in India.

Background: Undernutrition is a serious matter of public health concern in India. Existing studies, policies and programs focus on women and children thereby ignoring men in policymaking. This study examines the socio-economic inequality in anaemia levels among men in India and tries to decompose the factors behind it.Methods: The fourth round of National Family Health Survey is used to fulfill the study objectives. The outcome variable of the study is men having anaemia or not. The study uses bivariate and multivariate techniques to identify the factors associated with the outcome variable. Further, concentration index and concentration curve are calculated to measure the socio-economic inequality in anaemia among men in India.Results: The results indicate that majority of the socio-economic related inequality is explained by wealth quintile followed by geographical regions of India, body mass index and educational attainment. The results also emphasize that older men belong to the high-risk groups. Moreover, the likelihood of anaemia is 40% more likely among men who belonged to East region and 25%, 13% and 7 % less likely among those who belonged to Northeast, West and South region compared to those who belonged in the North region of the country.Conclusion: Existing policies on anaemia should include men to achieve an anaemia free India. Individual education and awareness should be encouraged to improve nutritional status.

Background: Despite a significant increase in the skilled birth assisted (SBA) deliveries in India, there are huge gaps in availing maternity care services across social gradients - particularly across states and regions. Therefore, this study applies the spatial-regression model to examine the spatial distribution of SBA across districts of India. Furthermore, the study tries to understand the spatially associated population characteristics that influence the low coverage of SBA across districts of India and its regions.Methods: The study used national representative cross-sectional survey data obtained from the fourth round of National Family Health Survey, conducted in 2015-16. The effective sample size was 259,469 for the analysis. Moran’s I statistics and bivariate Local Indicator for Spatial Association maps were used to understand spatial dependence and clustering of deliveries conducted by SBA coverage in districts of India. Ordinary least square, spatial lag and spatial error models were used to examine the correlates of deliveries conducted by SBA.Results: Moran’s I value for SBA among women was 0.54, which represents a high spatial auto-correlation of deliveries conducted by SBA over 640 districts of India. There were 145 hotspots for deliveries conducted by SBA among women in India, which includes almost the entire southern part of India. The spatial error model revealed that with a 10% increase in exposure to mass media in a particular district, the deliveries conducted by SBA increased significantly by 2.5%. Interestingly, also with the 10% increase in the four or more antenatal care (ANC) in a particular district, the deliveries conducted by SBA increased significantly by 2.5%. Again, if there was a 10% increase of women with first birth order in a particular district, then the deliveries conducted by SBA significantly increased by 6.1%. If the district experienced an increase of 10% household as female-headed, then the deliveries conducted by SBA significantly increased by 1.4%.Conclusion: The present study highlights the important role of ANC visits, mass media exposure, education, female household headship that augment the use of an SBA for delivery. Attention should be given in promoting regular ANC visits and strengthening women’s education.