The study aims to assess the prevalence of food insecurity and malnutrition and to investigate the association between food insecurity, sociodemographic characteristics, and malnutrition among Indian older adults. Data for 28,004 older adults (60 + years) was extracted from Wave-1 of the Longitudinal Aging Study in India, 2017-18. Bivariate analysis was used for prevalence estimates. Multinomial logistic regression provided relative risk ratios (RRR) to determine the association. About 45% of older adults were food insecure and nearly half were malnourished (underweight − 26.7%, overweight − 22.2%). Overweight was widespread in southern, western, and northern India, while underweight and food insecurity were widespread in central, eastern, and north-eastern India. Food insecure older adults were significantly more likely to be underweight (mild: RRR = 1.105, 95% CI = 1.038–1.176; severe: RRR = 1.327, 95% CI = 1.186–1.485). Rather than severe food insecurity, those with moderate food insecurity have the least likelihood of being overweight. Being the oldest, male, widowed, divorced/separated/deserted, having fewer years of schooling, living in a ST or SC household, and in rural areawere associated with higher risk of being underweight; while their other counterparts were of being overweight. No association was found between working status and underweight, meanwhile the non-working older adults were less likely to be overweight (RRR = 0.804, 95% CI = 0.744–0.868). Underweight is strongly linked to food insecurity. In terms of food insecurity and malnutrition, the most vulnerable categories identified include oldest old, widowed, divorced/separated/deserted, SC, ST, economically weaker, and persons without or with only a few years of formal education.

Poverty is multifaceted. The global poverty profile shows 41% of multidimensionally poor people living in South Asian countries. Though castes and tribes are a more prevalent line of social stratification in India, and their socio-economic characteristics also vary remarkably, hardly any study has explored these dimensions while analysing multidimensional poverty in India. Hence, this study attempts to assess the multidimensional status of poverty among the social groups in India. National Family Health Survey, 2015–16 (NFHS-4) is a source of rich information on 579,698 households’ well-being for this analysis. Alkire- Foster technique was applied to decompose the Multidimensional Poverty Index (M0) across its dimensions and indicators for all the social groups. Three broad dimensions of deprivation–Health, Education and Standard of Living–include 12 indicators, guided by the poverty literature, data availability and the country’s sustainable Development Goals (SDGs). There were three main findings in this study: (1) Scheduled Tribes (STs) are the most disadvantaged subgroup in India with remarkably high values of headcount (H = 0.444;), intensity (A = 0.486), and M0 (0.216), followed by Scheduled Castes (SCs) (H = 0.292; A = 0.473; M0 = 0.138), and Other Backward Classes (OBCs) (H = 0.245; A = 0.465; M0 = 0.114); and Others category is the most privileged with very low values of H = 0.149, A = 0.463, and M0 = 0.069; (2) STs contribute nearly twice their population share for both H and M0, and the SCs contribution is also noticeably higher than their population share; (3) States located in the central and eastern regions of India have the higher H, A and M0 for all the social groups. This suggests that there is a need for a thorough assessment of poverty at specific levels to uncover the poverty situation in society, improve the effectiveness of evidence-based planning and effective policymaking.

Objective This article aims to examine the level of life satisfaction (LS) among Indian older adults and to determine whether their living arrangement is one of the potential determinants of their level of LS. Methods Data was drawn from the first and most recent wave of Longitudinal Ageing Study in India conducted in 2017–18. Using the Satisfaction with Life Scale, the level of LS was assessed for 30,370 elderly aged 60 + . Bivariate analysis was carried out to see the variation in the level of LS across elderlies with different socio-demographic characteristics. To investigate the association between LS and living arrangements and the selected socio-demographic factors multinomial logistic regression model was fitted. Result The findings reveal that 25.4% and 45.5% of the elderlies have reported having a low and high level of LS, respectively. Living alone was associated with low level of LS. Co-residing with a spouse was associated with a higher likelihood of reporting high level of LS. The study also found that having both spouse and children as coresident increases the likelihood of reporting high level of LS (RRR = 3.15, 95%CI = 2.3–4.28). Elderly with self-reported poor health, limitation in more than two activities of daily living and presence of depressive symptoms were significantly associated with reporting low level of LS. However, being diagnosed with more than three chronic illnesses was associated with high level of LS (RRR = 1.41, 95%CI = 1.25–1.59). Older adults with the following characteristics were more likely to report a lower level of LS: male, 60–64 years old, no or few years of schooling, unmarried, working, rural resident, living in a poor household, Scheduled Caste and Tribe. Conclusion The level of life satisfaction in Indian older adults is significantly associated with their living arrangements, thus suggesting that the LS of older adults could be facilitated through interventions that consider their living arrangements. Older adults with various personal and household characteristics were identified as vulnerable groups, who should be the prime targets of the existing welfare policies.

‘Health and nutrition’ is one among the five areas covered by the Aspirational District Programme in India, which aims to achieve the Sustainable Development Goals (SDGs). The reduction of undernutrition in under-five children has remained a major focus of the SDGs, especially at the ages of 6–23 months as this affects child development. This study used National Family Health Survey 2015–16 data to examine appropriate feeding practices and their associations with undernutrition among children aged 6–23 months in the 124 aspirational districts of India. Multinomial logistic regression analysis was used to analyse the association between feeding practices and undernutrition, adjusting for covariates. A total of 13,851 children aged 6–23 months were included in the analysis. Child nutritional outcomes, and children receiving the recommended minimum dietary diversity (MDD), minimum meal frequency (MMF) and minimum acceptable diet (MAD), were poorer in the aspirational compared with non-aspirational districts. However, the proportions of children who continued to breastfed, i.e. currently breastfeeding and the proportion of children who were receiving appropriate breastfeeding, i.e. receiving complementary feeding, in addition to breast milk, were higher in the aspirational districts. Appropriate breastfeeding and MDD were found to be associated negatively with undernutrition. While the continuation of breastfeeding increased the odds of children being undernourished, appropriate breastfeeding lowered the odds. The significant predictors of undernourishment among the study children were the child being male, of higher birth order, older and of smaller than average birth size; mother’s lower educational level, mother’s lower BMI of mothers and being a teenage mother; and poor household drinking water, sanitation facilities and lower economic status. This study suggests that educating mothers, especially illiterate and poor mothers, about appropriate breastfeeding and dietary diversity could help prevent and reduce child undernutrition in the aspirational districts of India.

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