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Psychological model of ART adherence behaviors in persons living with HIV/AIDS in Mexico: a structural equation analysis

Overview of attention for article published in Revista de Saúde Pública, January 2017
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  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

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3 X users

Citations

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10 Dimensions

Readers on

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100 Mendeley
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Title
Psychological model of ART adherence behaviors in persons living with HIV/AIDS in Mexico: a structural equation analysis
Published in
Revista de Saúde Pública, January 2017
DOI 10.11606/s1518-8787.2017051006926
Pubmed ID
Authors

José Luis Ybarra Sagarduy, Julio Alfonso Piña López, Mónica Teresa González Ramírez, Luis Enrique Fierros Dávila

Abstract

The objective of this study has been to test the ability of variables of a psychological model to predict antiretroviral therapy medication adherence behavior. We have conducted a cross-sectional study among 172 persons living with HIV/AIDS (PLWHA), who completed four self-administered assessments: 1) the Psychological Variables and Adherence Behaviors Questionnaire, 2) the Stress-Related Situation Scale to assess the variable of Personality, 3) The Zung Depression Scale, and 4) the Duke-UNC Functional Social Support Questionnaire. Structural equation modeling was used to construct a model to predict medication adherence behaviors. Out of all the participants, 141 (82%) have been considered 100% adherent to antiretroviral therapy. Structural equation modeling has confirmed the direct effect that personality (decision-making and tolerance of frustration) has on motives to behave, or act accordingly, which was in turn directly related to medication adherence behaviors. In addition, these behaviors have had a direct and significant effect on viral load, as well as an indirect effect on CD4 cell count. The final model demonstrates the congruence between theory and data (x2/df. = 1.480, goodness of fit index = 0.97, adjusted goodness of fit index = 0.94, comparative fit index = 0.98, root mean square error of approximation = 0.05), accounting for 55.7% of the variance. The results of this study support our theoretical model as a conceptual framework for the prediction of medication adherence behaviors in persons living with HIV/AIDS. Implications for designing, implementing, and evaluating intervention programs based on the model are to be discussed.

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X Demographics

The data shown below were collected from the profiles of 3 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 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 100 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 22 22%
Student > Ph. D. Student 11 11%
Student > Bachelor 10 10%
Researcher 7 7%
Student > Doctoral Student 6 6%
Other 18 18%
Unknown 26 26%
Readers by discipline Count As %
Medicine and Dentistry 26 26%
Psychology 12 12%
Nursing and Health Professions 11 11%
Pharmacology, Toxicology and Pharmaceutical Science 6 6%
Immunology and Microbiology 3 3%
Other 9 9%
Unknown 33 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 01 October 2017.
All research outputs
#15,173,117
of 25,382,440 outputs
Outputs from Revista de Saúde Pública
#494
of 1,138 outputs
Outputs of similar age
#225,228
of 421,709 outputs
Outputs of similar age from Revista de Saúde Pública
#16
of 36 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,138 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 54% 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 421,709 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.