Journal of Population Ageing

, Volume 12, Issue 1, pp 1–23 | Cite as

Patterns of Frailty and Quality of Life among Older Adults: Comparative Analysis Using SAGE States of India

  • Mamta ChaudharyEmail author
  • Perianayagam Arokiasamy


To successfully respond to the increasing wellbeing needs of older people, it is imperative to have an in-depth understanding of their health status, quality of life (QoL), and related components. This paper, using the data from the WAVE I of the WHO-SAGE India, 2007, describe the patterns of frailty and QoL among older adults in India and examines their associations with socio-economic and demographic factors. To understand the pattern of frailty and QoL, and to understand associated factors. We use the method of deficit accumulation to construct a frailty index using 40 variables and QoL was assessed using the WHOQ0L-BRIEF instrument. This study included a total of 6554 older adults aged 50 + years. Uttar Pradesh had the highest (18%) percentage of people without frailty (score < than 0.2) and Karnataka the lowest (10%). Rajasthan (5%) and Uttar Pradesh (4%) have the highest percentage of people in higher QoL score (QoL score > 70). Frailty increased and QoL decreased in higher age groups for all the states, and was more frequent in women. Lower levels of frailty and high QoL were observed at higher levels of education and wealth. Education, residence, and wealth were protective factors for frailty in West Bengal, whereas only education and wealth were protective in Uttar Pradesh. Growing frailty in the low-income setting is challenging and raises public health concerns. Poor QoL and poor health status in older people were significantly associated with marital status, sex, age, wealth, and specific levels of education. The results indicate that lower levels of frailty and higher QoL can be achieved for older people, and the study highlights the need for targeted preventive approaches and support programs.


Frailty Quality of life Sage Low income settings 


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© Springer Science+Business Media B.V. 2017

Authors and Affiliations

  1. 1.Tata Institute of Social SciencesMumbaiIndia
  2. 2.International Institute of Population SciencesMumbaiIndia

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