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Frailty status and associated factors among older PLHIV in Southern 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...

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Autores principales: Woldesemayat, Endrias Markos, St Clair-Sullivan, Natalie, Kassa, Andargachew, Gari, Taye, Gutema, Keneni, Chea, Nana, Woubshet, Kindie, Bogale, Netsanet, Assefa, Amare, Vera, Jaime
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10124866/
https://www.ncbi.nlm.nih.gov/pubmed/37093810
http://dx.doi.org/10.1371/journal.pone.0284376
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author Woldesemayat, Endrias Markos
St Clair-Sullivan, Natalie
Kassa, Andargachew
Gari, Taye
Gutema, Keneni
Chea, Nana
Woubshet, Kindie
Bogale, Netsanet
Assefa, Amare
Vera, Jaime
author_facet Woldesemayat, Endrias Markos
St Clair-Sullivan, Natalie
Kassa, Andargachew
Gari, Taye
Gutema, Keneni
Chea, Nana
Woubshet, Kindie
Bogale, Netsanet
Assefa, Amare
Vera, Jaime
author_sort Woldesemayat, Endrias Markos
collection PubMed
description 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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spelling pubmed-101248662023-04-25 Frailty status and associated factors among older PLHIV in Southern Ethiopia Woldesemayat, Endrias Markos St Clair-Sullivan, Natalie Kassa, Andargachew Gari, Taye Gutema, Keneni Chea, Nana Woubshet, Kindie Bogale, Netsanet Assefa, Amare Vera, Jaime PLoS One Research Article 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. Public Library of Science 2023-04-24 /pmc/articles/PMC10124866/ /pubmed/37093810 http://dx.doi.org/10.1371/journal.pone.0284376 Text en © 2023 Woldesemayat et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Woldesemayat, Endrias Markos
St Clair-Sullivan, Natalie
Kassa, Andargachew
Gari, Taye
Gutema, Keneni
Chea, Nana
Woubshet, Kindie
Bogale, Netsanet
Assefa, Amare
Vera, Jaime
Frailty status and associated factors among older PLHIV in Southern Ethiopia
title Frailty status and associated factors among older PLHIV in Southern Ethiopia
title_full Frailty status and associated factors among older PLHIV in Southern Ethiopia
title_fullStr Frailty status and associated factors among older PLHIV in Southern Ethiopia
title_full_unstemmed Frailty status and associated factors among older PLHIV in Southern Ethiopia
title_short Frailty status and associated factors among older PLHIV in Southern Ethiopia
title_sort frailty status and associated factors among older plhiv in southern ethiopia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10124866/
https://www.ncbi.nlm.nih.gov/pubmed/37093810
http://dx.doi.org/10.1371/journal.pone.0284376
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