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Stigmas, symptom severity and perceived social support predict quality of life for PLHIV in urban Indian context

BACKGROUND: Multiple variables have been studied in relation to health-related quality of life (HRQoL), but research has not integrated the contributions of different variables in a single model that allows to compare them. This study, carried out with people living with HIV/AIDS in India, sought to...

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Autores principales: Garrido-Hernansaiz, Helena, Heylen, Elsa, Bharat, Shalini, Ramakrishna, Jayashree, Ekstrand, Maria L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5094021/
https://www.ncbi.nlm.nih.gov/pubmed/27809839
http://dx.doi.org/10.1186/s12955-016-0556-x
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author Garrido-Hernansaiz, Helena
Heylen, Elsa
Bharat, Shalini
Ramakrishna, Jayashree
Ekstrand, Maria L.
author_facet Garrido-Hernansaiz, Helena
Heylen, Elsa
Bharat, Shalini
Ramakrishna, Jayashree
Ekstrand, Maria L.
author_sort Garrido-Hernansaiz, Helena
collection PubMed
description BACKGROUND: Multiple variables have been studied in relation to health-related quality of life (HRQoL), but research has not integrated the contributions of different variables in a single model that allows to compare them. This study, carried out with people living with HIV/AIDS in India, sought to develop a prediction model considering various predictors previously found to be related to HRQoL, namely sociodemographic factors, HIV symptoms, social support, stigmas and avoidant coping. METHODS: A sample of 961 HIV-positive persons from Bengaluru and Mumbai participated in this cross-sectional study, completing a sociodemographic questionnaire along with HRQoL, HIV symptoms, disclosure expectations, disclosure avoidance, social support and internalized, felt, vicarious and enacted stigma scales. Bivariate associations were obtained (correlations, ANOVAs and t tests) and a multiple regression analysis was performed. RESULTS: Results show that, when all variables are considered together, being married, widowed or deserted, symptom intensity, internalized stigma, disclosure avoidance and enacted stigma contribute negatively to predict HRQoL. On the other hand, being employed, good disclosure expectations and good social support contribute positively to predict HRQoL. Almost half of the variance in HRQoL was explained by this model. CONCLUSIONS: Interventions seeking to increase HRQoL in people living with HIV/AIDS in India would benefit from addressing these aspects.
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spelling pubmed-50940212016-11-07 Stigmas, symptom severity and perceived social support predict quality of life for PLHIV in urban Indian context Garrido-Hernansaiz, Helena Heylen, Elsa Bharat, Shalini Ramakrishna, Jayashree Ekstrand, Maria L. Health Qual Life Outcomes Research BACKGROUND: Multiple variables have been studied in relation to health-related quality of life (HRQoL), but research has not integrated the contributions of different variables in a single model that allows to compare them. This study, carried out with people living with HIV/AIDS in India, sought to develop a prediction model considering various predictors previously found to be related to HRQoL, namely sociodemographic factors, HIV symptoms, social support, stigmas and avoidant coping. METHODS: A sample of 961 HIV-positive persons from Bengaluru and Mumbai participated in this cross-sectional study, completing a sociodemographic questionnaire along with HRQoL, HIV symptoms, disclosure expectations, disclosure avoidance, social support and internalized, felt, vicarious and enacted stigma scales. Bivariate associations were obtained (correlations, ANOVAs and t tests) and a multiple regression analysis was performed. RESULTS: Results show that, when all variables are considered together, being married, widowed or deserted, symptom intensity, internalized stigma, disclosure avoidance and enacted stigma contribute negatively to predict HRQoL. On the other hand, being employed, good disclosure expectations and good social support contribute positively to predict HRQoL. Almost half of the variance in HRQoL was explained by this model. CONCLUSIONS: Interventions seeking to increase HRQoL in people living with HIV/AIDS in India would benefit from addressing these aspects. BioMed Central 2016-11-03 /pmc/articles/PMC5094021/ /pubmed/27809839 http://dx.doi.org/10.1186/s12955-016-0556-x Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Garrido-Hernansaiz, Helena
Heylen, Elsa
Bharat, Shalini
Ramakrishna, Jayashree
Ekstrand, Maria L.
Stigmas, symptom severity and perceived social support predict quality of life for PLHIV in urban Indian context
title Stigmas, symptom severity and perceived social support predict quality of life for PLHIV in urban Indian context
title_full Stigmas, symptom severity and perceived social support predict quality of life for PLHIV in urban Indian context
title_fullStr Stigmas, symptom severity and perceived social support predict quality of life for PLHIV in urban Indian context
title_full_unstemmed Stigmas, symptom severity and perceived social support predict quality of life for PLHIV in urban Indian context
title_short Stigmas, symptom severity and perceived social support predict quality of life for PLHIV in urban Indian context
title_sort stigmas, symptom severity and perceived social support predict quality of life for plhiv in urban indian context
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5094021/
https://www.ncbi.nlm.nih.gov/pubmed/27809839
http://dx.doi.org/10.1186/s12955-016-0556-x
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