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Updated: Aug 1, 2025

Measuring Frailty in HIV-infected Individuals. Identification of Frail Patients is the First Step to Amelioration and Reversal of Frailty
Published on: July 24, 2013
Frailty status and associated factors among older PLHIV in Southern Ethiopia
Endrias Markos Woldesemayat1, Natalie St Clair-Sullivan2, Andargachew Kassa1
1College of Medicine and Health Sciences, Hawassa University, Hawassa, Ethiopia.
Background:
Studies addressing frailty are limited in the global south, including Ethiopia. We estimated the prevalence of frailty and associated factors among older people living with HIV (PLHIV) attending a large Comprehensive Specialized Hospital in southern Ethiopia.
Methods:
A systematic sample of 187 PLHIV and 187 HIV-negative controls > 50 years old were recruited between October 1 and November 30, 2021. Data on socio-demographic, behavioural and clinical characteristics were collected using a structured questionnaire. Frailty assessments were completed using the brief frailty instrument (B-FIT-2), which consists of 6 components. Scoring 5-6 points was frail, 2-4 points were pre-frail and below 2 was considered as non-frail. Logistic regression model was used to measure association between variables.
Results:
Median (IQR) age was 53 (50, 80) for PLWH and 59 (55-66) for controls. Prevalence of frailty was 9.1% for PLHIV Versus 5.9% for controls. A significant proportion of PLHIV was pre-frail; 141 (75.4%) compared to controls 110 (58.8%). Pre-frailty status was associated with HIV diagnosis (adjusted odds ratio (aOR) 4.2; 95% CI 1.8-9.9), low age (aOR 0.3; 95% CI 0.1-0.6), lower educational attainment (aOR 2.2; 95% CI 1.0-4.9), being farmer (aOR 3.2; 95% CI 1.0-10.2) and having high or low body mass index (BMI) (aOR 11.3; 95% CI 4.0-25.8). HIV diagnosis (aOR 9.7; 95% CI 1.6-56.8), age (aOR 0.2; 95% CI 0.1-0.7), lower educational attainment (aOR 5.2; 95% CI 1.5-18.2), single status (aOR 4.2; 95% CI 1.3-13.6), farmer (aOR 19.5; 95% CI 3.5-109.1) and high or low BMI (aOR 47.3; 95% CI 13.8-161.9) predicted frailty.
Conclusion:
A high proportion of frailty and pre-frailty was observed in a cohort of older PLHIV attending care in Southern Ethiopia. Future research should focus on interventions targeting factors associated with frailty.
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