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Record W1986685847 · doi:10.2174/1874434600903010010

Factors Related to Quality of Life in Treatment-Adherent, Successfully Treated HIV Patients in France

2009· article· en· W1986685847 on OpenAlexaff
José Côté, Philippe Delmas, Cyrille Delpierre, Hélène Sylvain, Simone Delon, Geneviève Rouleau

Bibliographic record

VenueThe Open Nursing Journal · 2009
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsUniversité du Québec à RimouskiUniversité de Montréal
FundersCentre Hospitalier Universitaire de Toulouse
KeywordsPsychosocialHuman immunodeficiency virus (HIV)Quality of life (healthcare)Psychological interventionCoping (psychology)MedicineCohortSocial supportAntiretroviral therapyPopulationClinical psychologyViral loadGerontologyPsychologyPsychiatryInternal medicineFamily medicinePsychotherapistEnvironmental health

Abstract

fetched live from OpenAlex

The objectives of this study were to document the psychosocial characteristics of treatment-adherent, successfully treated HIV patients and to examine the relationships between psychosocial variables. The sample was composed of 133 persons living with HIV, with optimal adherence to antiretroviral therapy and with no detectable viral load. The psychosocial profile of the cohort showed that participants had moderate levels of stress, used a wide range of strategies to adjust to their situation and perceived their social support to be good. As well, they evaluated their quality of life (Medical Outcome Study-HIV) as moderate. Quality of life in psychological domain is largely explained by perceived stress (53%). Quality of life in physical domain is largely dependent on discomfort reported arising from HIV-associated symptoms and treatment (39%). Findings suggest that treatment-adherent, successfully treated patients with HIV are still a fragile population, and that it is essential to provide interventions that reinforce their ways of coping.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.053
Threshold uncertainty score0.586

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.071
GPT teacher head0.423
Teacher spread0.351 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations14
Published2009
Admission routes1
Has abstractyes

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