Frailty status and associated factors among older PLHIV in Southern Ethiopia.
<h4>Background</h4>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.<h4>...
Main Authors: | , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2023-01-01
|
Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0284376 |
_version_ | 1797829970150555648 |
---|---|
author | Endrias Markos Woldesemayat Natalie St Clair-Sullivan Andargachew Kassa Taye Gari Keneni Gutema Nana Chea Kindie Woubshet Netsanet Bogale Amare Assefa Jaime Vera |
author_facet | Endrias Markos Woldesemayat Natalie St Clair-Sullivan Andargachew Kassa Taye Gari Keneni Gutema Nana Chea Kindie Woubshet Netsanet Bogale Amare Assefa Jaime Vera |
author_sort | Endrias Markos Woldesemayat |
collection | DOAJ |
description | <h4>Background</h4>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.<h4>Methods</h4>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.<h4>Results</h4>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.<h4>Conclusion</h4>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. |
first_indexed | 2024-04-09T13:28:40Z |
format | Article |
id | doaj.art-82c2de1ca5594831a1b60c47d9140b6e |
institution | Directory Open Access Journal |
issn | 1932-6203 |
language | English |
last_indexed | 2024-04-09T13:28:40Z |
publishDate | 2023-01-01 |
publisher | Public Library of Science (PLoS) |
record_format | Article |
series | PLoS ONE |
spelling | doaj.art-82c2de1ca5594831a1b60c47d9140b6e2023-05-10T05:31:39ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-01184e028437610.1371/journal.pone.0284376Frailty status and associated factors among older PLHIV in Southern Ethiopia.Endrias Markos WoldesemayatNatalie St Clair-SullivanAndargachew KassaTaye GariKeneni GutemaNana CheaKindie WoubshetNetsanet BogaleAmare AssefaJaime Vera<h4>Background</h4>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.<h4>Methods</h4>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.<h4>Results</h4>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.<h4>Conclusion</h4>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.https://doi.org/10.1371/journal.pone.0284376 |
spellingShingle | Endrias Markos Woldesemayat Natalie St Clair-Sullivan Andargachew Kassa Taye Gari Keneni Gutema Nana Chea Kindie Woubshet Netsanet Bogale Amare Assefa Jaime Vera Frailty status and associated factors among older PLHIV in Southern Ethiopia. PLoS ONE |
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 |
url | https://doi.org/10.1371/journal.pone.0284376 |
work_keys_str_mv | AT endriasmarkoswoldesemayat frailtystatusandassociatedfactorsamongolderplhivinsouthernethiopia AT nataliestclairsullivan frailtystatusandassociatedfactorsamongolderplhivinsouthernethiopia AT andargachewkassa frailtystatusandassociatedfactorsamongolderplhivinsouthernethiopia AT tayegari frailtystatusandassociatedfactorsamongolderplhivinsouthernethiopia AT kenenigutema frailtystatusandassociatedfactorsamongolderplhivinsouthernethiopia AT nanachea frailtystatusandassociatedfactorsamongolderplhivinsouthernethiopia AT kindiewoubshet frailtystatusandassociatedfactorsamongolderplhivinsouthernethiopia AT netsanetbogale frailtystatusandassociatedfactorsamongolderplhivinsouthernethiopia AT amareassefa frailtystatusandassociatedfactorsamongolderplhivinsouthernethiopia AT jaimevera frailtystatusandassociatedfactorsamongolderplhivinsouthernethiopia |