01 March 2019 - 02 March 2019
Under the title "New Directions for Research on Ageing: Work, Care and Mobility", the Transdisciplinary Centre for Qualitative Methods(TCQM) is organizing an international conference between 1-2 March 2019. Global ageing is one of the most significant societal challenges in current times. As countries around the world move towards achieving the Sustainable Development Goals, there is much evidence that emerges on the range of inequalities that reduce the wellbeing of older adults. In the last two decades we have amassed evidence on older adults’ living arrangements, health status and intergenerational relationships. This conference aims to encourage researchers to push the boundaries of ageing research by exploring new conceptualizations of ageing research with innovative theories, datasets, analysis technique and ways of sharing scientific knowledge. Through the interrelated sub-themes of work, care and mobility the organizers hope to stimulate active discussions on new pathways to ageing research.
IIASA researcher Nandita Saikia will give a presentation entitled "Ageing in India: Application of conventional and prospective measures in India, 2011" at this conference. Saikia joined IIASA's World Population Program in August 2017 as an IIASA Postdoctoral researcher to work on indoor air pollution and mortality.
For more information please visit the event website.
Ageing in India: A comparison of Conventional and Prospective measures, 2011
Background: The conventional measurement of ageing does not account the dynamic nature of ageing related human characteristics over time. Therefore, demographers proposed prospective measures of ageing to refine the estimates of ageing burden. Despite increasing popularity of this new concept of in demographic and public health literatures, to our knowledge, it has not been discussed in the context of India, known for unusually diverse in demographic indicators.
Aim: The aim of the present study is of twofold, first, we estimated the burden of ageing by applying the conventional and new measures of ageing by gender and type of residence, and secondly, we examined the regional variation in ageing using these concepts.
Data and methods: We used data from 2011 census and Sample Registration System life tables 2009-2013. In conventional ageing measures, we used the life expectancy at age 60 and old age dependency ratio (OADR), whereas for new measure of ageing, we applied the threshold of old age based on a remaining life expectancy and prospective old age dependency ratio (POADR), developed by Sanderson & Scherbov, 2007.
Results: Conventional and prospective measures of ageing present different scenario at national and subnational level. At national level, application of prospective measure reduces the number of older dependents from 66.4 million to 37.11 million (OADR for male:8.2%, for female:9.1%; POADR for male:7.1%, for female:4.9%). We observed profound variation in ageing by gender, type of residence and regions of India.
Conclusion: Considering the heterogeneity of life expectancies across Indian states, prospective measures of ageing come out to be better measure giving refined estimates of ageing burden in India as they are based on length of life expectancy, morbidity and disability condition. Application of these measures has great policy relevance in India.
Last edited: 17 January 2019
Barua, S., Saikia, N. , & Sk, R. (2020). Spatial pattern and determinants of diagnosed diabetes in southern India: evidence from a 2012–13 population-based survey. Journal of Biosocial Science, 1-16. 10.1017/S0021932020000449. (In Press)
Saikia, N. & Debbarma, B. (2020). The socioeconomic correlates of substance use among male adults in Northeast India. Clinical Epidemiology and Global Health 8 (1), 149-157. 10.1016/j.cegh.2019.06.004.
Diamond-Smith, N., Saikia, N. , Bishai, D., & Canudas-Romo, V. (2020). What has contributed to improvements in the child sex ratio in select districts of India? A decomposition of the sex ratio at birth and child mortality. Journal of Biosocial Science 52 (1), 27-36. 10.1017/S0021932019000221.
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