Prediction of Risk of Frailty Among Institutionalized Older Adults in India.

Background: Frailty is a state of age-related physiological vulnerability resulting from impaired homeostatic reserve and a reduced capacity of the individual to withstand stress and an independent predictor of deleterious health outcomes among the aged. Early identification of people who are at risk for frailty is vital in preventing and minimizing its socio-economic consequences in low-resource countries like India. However, risk factors for frailty among Indian institutionalized older adults have been seldom explored.

Objective: The objective of this study is to develop a prediction model for the risk of frailty among institutionalized older adults.

Methods: This study adopted a case-control design, wherein institutionalized adults were categorized into frail and non-frail, using Fried's criteria. Individuals above 55 years of age who could follow instructions without severe motor and cognitive impairment and terminal illness were recruited from nine conveniently selected institutions. Socio-demographic, lifestyle, behavioral, and physical performance factors were evaluated by including hundred participants.

Results: Among the fourteen independent variables, age, cognition, income, functional mobility, polypharmacy and presence of more than 3 comorbidities were significant in univariate analysis. But adjusted odds ratio showed a statistical significance for low educational status, low income, poor functional mobility, and presence of more than 3 co-morbidities only, hence they were used for developing the prediction model.

Conclusion: Low education status, low income, poor functional mobility, and presence of more than 3 comorbidities were found to have a significant association with the risk of frailty. A model has been developed to predict the risk and early identification of frailty among institutionalized older adults.