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

Overview of attention for article published in Health and Quality of Life Outcomes, November 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

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1 policy source
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4 X users
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2 Facebook pages
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1 Redditor

Citations

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30 Dimensions

Readers on

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174 Mendeley
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Title
Stigmas, symptom severity and perceived social support predict quality of life for PLHIV in urban Indian context
Published in
Health and Quality of Life Outcomes, November 2016
DOI 10.1186/s12955-016-0556-x
Pubmed ID
Authors

Helena Garrido-Hernansaiz, Elsa Heylen, Shalini Bharat, Jayashree Ramakrishna, Maria L. Ekstrand

Abstract

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. 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 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. Interventions seeking to increase HRQoL in people living with HIV/AIDS in India would benefit from addressing these aspects.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 174 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Unknown 173 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 13%
Student > Ph. D. Student 17 10%
Student > Bachelor 16 9%
Researcher 13 7%
Student > Postgraduate 13 7%
Other 39 22%
Unknown 53 30%
Readers by discipline Count As %
Medicine and Dentistry 30 17%
Psychology 25 14%
Nursing and Health Professions 24 14%
Social Sciences 13 7%
Unspecified 7 4%
Other 15 9%
Unknown 60 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 June 2022.
All research outputs
#6,036,023
of 24,746,716 outputs
Outputs from Health and Quality of Life Outcomes
#665
of 2,264 outputs
Outputs of similar age
#85,352
of 317,580 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#3
of 40 outputs
Altmetric has tracked 24,746,716 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,264 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has gotten more attention than average, scoring higher than 70% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 317,580 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.