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Record W2967880731

Ideación suicida y depresión en pacientes VIH+: Estudio transversal sobre prevalencia y factores de riesgo

2019· article· es· W2967880731 on OpenAlexaboutno aff
Patricia Ma Rodríguez Fortúnez, Eugenio Chinea Cabello, María Remedios Alemán Valls, Marta Comellas Serra, María del Rosario Cejas Méndez

Bibliographic record

VenueRevista Multidisciplinar del Sida · 2019
Typearticle
Languagees
FieldMedicine
TopicAging, Health, and Disability
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHumanitiesHuman immunodeficiency virus (HIV)GynecologyPhilosophyFamily medicine
DOInot available

Abstract

fetched live from OpenAlex

espanolIntroduccion. Si bien existe una asociacion clara entre el riesgo suicida y la depresion en la poblacion VIH+, existe cierta controversia acerca de los otros factores de riesgo suicida. El objetivo de este estudio es determinar la prevalencia de ideacion suicida y depresion en nuestro medio e identificar los posibles factores de riesgo asociados a su aparicion. Metodologia. Estudio epidemiologico, transversal, con muestreo simple aleatorio de pacientes con VIH+ en seguimiento por la Seccion de Enfermedades Infecciosas del Hospital Universitario de Canarias. Se recogieron datos sociodemograficos, clinicos y analiticos y se utilizaron la escala de riesgo suicida de Plutchik y la escala de Depresion de Calgary (CDS) para las evaluaciones psicologicas. Resultados. Se estudiaron un total de 125 pacientes. La prevalencia de ideacion suicida y depresion en nuestro medio asciende al 20,8% y 23,2% respectivamente. El consumo de toxicos, un estado CDC actual avanzado, una funcionalidad mermada, residir en una zona rural y tener antecedentes psiquiatricos y de riesgo suicida personales, fueron identificados como factores de riesgo potenciales para la aparicion de depresion y riesgo suicida. Poseer un diagnostico > 2 anos, cierto grado de lipodistrofia y coinfeccion con VHC fue correlacionado con la aparicion de depresion. La presencia de antecedentes familiares de conducta suicida y estar desempleado se relaciono con un aumento de riesgo suicida. Conclusiones. La prevalencia de ideacion suicida y depresion en pacientes VIH en nuestro medio es elevada. La identificacion de los factores asociados a su aparicion es un factor clave para su manejo clinico precoz. EnglishIntroduction. Suicidal risk factors are crucial on its prevention, unless its relation with depression is a fact, others remain controversial. The aim of this study is to assess prevalence of suicidal ideation and depression in this population and to identify possible associated risk factors. Methodology. A cross-sectional epidemiologic study randomized sampling was conducted in HIV+ patients attending Infectious Diseases Section of Hospital Universitario de Canarias. Sociodemographical, clinical, psychological and analytical data were collected. Plutchik Suicide Risk and Calgary Depression Scales (CDS) were used in psychological assessment Results. Suicidal ideation and depression prevalence amount to 20.8% and 23.2% respectively, in our environment. Consumption of toxic substances, an advanced CDC status, impaired functionality, residing at rural area, and having a personal history of psychiatric and suicidal risk records (background) were identified as potential risk factors for depression and suicidal risk onset. Having an old diagnosis (> 2 years), some grade of lipodystrophy and coinfection with HCV was correlated with the onset of depression. While the presence of a family history of suicidal behavior and being unemployed was associated with an increased risk of suicide. Conclusions. The prevalence of suicidal ideation and depression in HIV+ patients in our environment is high. The identification of the factors associated with its onset is a key feature for its early clinical management.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.012
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.311
Teacher spread0.297 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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