Summary of- Prediction of Risk of Frailty Among Institutionalized Older Adults in India

Document Type

Article

Abstract

Background:

  • Frailty is a significant public health issue, particularly in aging populations, leading to higher risks of falls, hospitalization, disability, and mortality.
  • In India, the institutionalized elderly population is at a heightened risk due to factors like poor nutrition, lack of physical activity, and limited access to healthcare.

Objective:

  • The study aims to predict the risk of frailty among older adults living in institutional settings in India using a combination of clinical and demographic factors.

Methods:

  • The researchers used a cross-sectional study design involving a sample of institutionalized older adults.
  • Various parameters were assessed, including physical performance, cognitive function, nutritional status, and comorbidities.
  • A statistical model was developed to identify the predictors of frailty and to estimate the risk for individuals.

Findings:

  • The study identified several key predictors of frailty, including age, gender, nutritional status, cognitive function, and the presence of chronic conditions such as diabetes and hypertension.
  • The model demonstrated good predictive accuracy, suggesting that these factors are critical in determining the frailty risk among institutionalized older adults.

Implications:

  • The predictive model can be used by healthcare providers in institutional settings to identify individuals at high risk of frailty and to implement targeted interventions.
  • Early identification of frailty can lead to preventive measures, such as nutritional supplementation, physical therapy, and cognitive training, thereby reducing the burden of frailty-related complications.

Conclusion:

  • The study provides a valuable tool for predicting frailty risk among the institutionalized elderly in India, highlighting the importance of regular assessments and personalized care plans to improve the quality of life in this vulnerable population.

Publication Date

2023

Recommended Citation:

Kulal, N., Nandakumar, G., & Vaishali K (2023). Prediction of Risk of Frailty Among Institutionalized Older Adults in India. Current aging science, 16(1), 33–39. https://doi.org/10.2174/1874609815666220415130737

Publication Date

2023

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