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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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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. |
format | Online Article Text |
id | pubmed-10124866 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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