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Enregistrement W3027269496 · doi:10.1093/schbul/sbaa031.300

S234. DEPRESSION AND SEXUAL FUNCTIONING: TWO NEGLECTED AND PREVALENT DOMAINS IN PEOPLE WITH SCHIZOPHRENIA

2020· article· en· W3027269496 sur OpenAlexaboutno aff
Clara Lapa, Dayane Santos Martins, Maria Julia Brito, Ramiro Reckziegel, Mathias Hasse-Sousa, Letícia Sanguinetti Czepielewski, Clarissa Severino Gama

Notice bibliographique

RevueSchizophrenia Bulletin · 2020
Typearticle
Langueen
DomaineMedicine
ThématiqueSexual function and dysfunction studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésSexual dysfunctionSexual functionPsychiatryDepression (economics)PsychologySchizophrenia (object-oriented programming)PopulationClinical psychologyMajor depressive disorderOutpatient clinicHuman sexualityPositive and Negative Syndrome ScaleMedicinePsychosisInternal medicineCognition

Résumé

récupéré en direct d'OpenAlex

Abstract Background Sexual function is highly neglected in individuals with schizophrenia (SZ). Clinicians usually underestimate the rates of sexual dysfunctions in these patients, and this group does not spontaneously complain about it. Sexual dysfunction in this population could reach up to 80% and its known to affect all domains of sexual function. Moreover, it may be linked to stigma and discrimination factors. Medication side effects on sexuality concern more than any other side effects, and it is known to be a major cause of poor quality of life and non-adherence to medication. Furthermore, the relationship between sexual dysfunction and other psychiatric symptoms in SZ is still unclear. Our aim was to describe the sexual dysfunction in chronic patients with SZ and its relation to negative, positive and depressive symptoms. Methods A convenience and exploratory sample of 57 patients (age 43.75±10.38, 69% men, 86,2% single) were recruited from an university outpatient schizophrenia clinic, in Porto Alegre – Brazil. Participants were assessed using Arizona Sexual Experience Scale (ASEX), Medication Adherence Rating Scale (MARS), Positive and Negative Syndrome Scale (PANSS), Calgary Depression Inventory and demographic information. Sexual dysfunction was considered following the ASEX scoring criteria. Results Sexual dysfunction was present in 51,8% of the patients, assessed by ASEX. Women showed increased sexual dysfunction than men (χ2=22,727, p < .001). There were no differences between patients that reported sexual dysfunction and the ones who did not regarding age, duration of illness and medication adherence assessed by MARS (p > .05). Additionally, there were no differences between groups on positive and negative symptoms assessed by PANSS. Interestingly, patients with sexual dysfunction had increased depressive symptoms compared to patients with a good perceived sexual function (t(54) = -3.326, p = .002). Calgary total scores were positively correlated with ASEX total scores (r = .369, p = .005). Nevertheless, we did not find significant correlations between ASEX total scores and other scales. Scores found on MARS (8.07±1.5) suggest that this sample is highly adherent to prescribed treatment. Discussion This is an exploratory and preliminary study that shows and reinforces the idea that sexual dysfunction is importantly prevalent and remains as a neglected issue in individuals with schizophrenia, as are the depressive symptoms. We showed that there is an association between these two domains, which might indicate a need for change of perspective for the pharmacological and psychosocial approaches currently used. In addition to the dopaminergic blockage by antipsychotics that lead to reduction in positive symptoms, we believe there is a need to look for depression symptoms to access, prevent and treat sexual dysfunction. Inattention to this event may result in abrupt treatment discontinuation and relapse. Curiously, the fact that we did not find any correlations between sexual evaluations and PANSS scores would suggest that sexual dysfunction in chronic patients could differ from others stages of the disease. The size of our sample and the fact that we did not access hormones and prolactin levels are important limitations of this study. However this is an exploratory study that provided clues on the subject, allowing to address further investigation taking into account the limitations.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,088
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,015
Tête enseignante GPT0,244
Écart entre enseignants0,229 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2020
Routes d'admission1
Résumé présentoui

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