The prevalence of frailty and its relationship with socio-demographic factors, regional healthcare disparities, and healthcare utilisation in the aging population across India

Author:

Singhal Sunny1,Singh Sumitabh2,Dewangan Gevesh Chand3,Dey Sharmistha4,Banerjee Joyita4,Lee Jinkook5,Upadhyaya Ashish Datt4,Hu Peifeng6,Goyal Laxmi Kant1,Dey A B7

Affiliation:

1. Sawai Man Singh Medical College and Hospital

2. UT Southwestern Medical Center

3. All India Institute of Medical Sciences Raipur

4. All India Institute of Medical Sciences

5. University of Southern California

6. University of California, Los Angeles

7. Venu Geriatric Care Centre

Abstract

Abstract Background The burden of frailty in developing countries and its relationship with complex social structures, such as caste, religion and regional healthcare differences and its effect on healthcare outcomes are not well characterized. The aim of the study was to estimate frailty prevalence and its relationship with the socio-economic and regional factors and healthcare outcomes. Methods In this study, participants from the harmonized Diagnostic Assessment of Dementia for the Longitudinal Aging Study in India (LASI-DAD) were included. The frailty index (FI) was calculated using a 32-variable deficit model, with a value of ≥ 25% considered as frail. Data on demographic (including caste and religion) and socioeconomic profiles and healthcare utilization were obtained. The state-wise health index maintained by the government based on various health-related parameters was used to group the participants’ residential states into high-, intermediate-, and low-performing states. Multivariable and zero-inflated negative binomial regression was used to assess the relationship of frailty index with socio-demographic characteristics, health index and healthcare expenditure or hospitalization. Results Among the 3,953 eligible participants, the prevalence of frailty was 42.34% (men: 34.99%; women: 49.35%). Compared to high-performing states, intermediate- and low-performing states had a higher proportion of frail individuals (49.7% vs. 46.8% vs. 34.5%, p < 0.001). In the adjusted analysis, frailty was positively associated with age, female sex, rural locality, lower education level, and caste (scheduled caste and other backward classes). After adjusting for socio-economic profile, FI was inversely associated with the composite health index of a state (p < 0.001). FI was also significantly correlated with total one-year healthcare expenditure and hospitalization (p-value = < 0.001 and 0.02 respectively). Conclusion There is a high prevalence of frailty among older Indian adults that is associated with socio-demographic factors and regional healthcare performance. Furthermore, frailty is associated with increased healthcare utilization and expenditure.

Publisher

Research Square Platform LLC

Reference48 articles.

1. Global strategy and action plan on ageing and health [Internet]. Geneva: World Health Organisation; 2017 [cited 2022 Feb 23]. Available from: https://www.who.int/publications-detail-redirect/9789241513500.

2. Frailty Consensus: A Call to Action;Morley JE;J Am Med Dir Assoc,2013

3. Wleklik M, Uchmanowicz I, Jankowska EA, Vitale C, Lisiak M, Drozd M, et al. Multidimensional Approach to Frailty. Front Psychol [Internet]. 2020 Mar 25 [cited 2020 Jul 13];11. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7115252/.

4. A Comparison of Frailty Phenotypes for Prediction of Mortality, Incident Falls, and Hip Fractures in Older Women;Zaslavsky O;J Am Geriatr Soc,2016

5. A Comparison of Frailty Indexes for the Prediction of Falls, Disability, Fractures and Mortality in Older Men;Ensrud KE;J Am Geriatr Soc,2009

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