The Autism Rating Scale for Schizophrenia - Revised English Version: An Instrument to Characterize Schizophrenia Spectrum Disorders Phenotype.

Dis-sociality Phenomenological psychopathology Psychopathology Schizophrenia Schizophrenic autism Social dysfunction Subjective experience

Journal

Psychopathology
ISSN: 1423-033X
Titre abrégé: Psychopathology
Pays: Switzerland
ID NLM: 8401537

Informations de publication

Date de publication:
13 Jun 2023
Historique:
received: 19 10 2022
accepted: 04 04 2023
medline: 14 6 2023
pubmed: 14 6 2023
entrez: 13 6 2023
Statut: aheadofprint

Résumé

Dis-sociality (DS) reflects the impairment of social experience in people with schizophrenia; it encompasses both negative features (disorder of attunement, inability to grasp the meaning of social contexts, the vanishing of social shared knowledge) and positive features (a peculiar set of values, ruminations not oriented to reality), reflecting the existential arrangement of people with schizophrenia. DS is grounded on the notion of schizophrenic autism as depicted by continental psychopathology. A rating scale has been developed, providing an experiential phenotype. Here we present the Autism Rating Scale for Schizophrenia - Revised English version (ARSS-Rev), developed on the Italian version of the scale. The scale is provided by a structured interview to facilitate the assessment of the phenomena investigated here. ARSS-Rev is composed of 16 distinctive items grouped into 6 categories: hypo-attunement, invasiveness, emotional flooding, algorithmic conception of sociality, antithetical attitude toward sociality, and idionomia. For each item and category, an accurate description is provided. Different intensities of phenomena are assessed through a Likert scale by rating each item according to its quantitative features (frequency, intensity, impairment, and need for coping). The ARSS-Rev has been able to discriminate patients with remitted schizophrenia from euthymic patients with psychotic bipolar disorder. This instrument may be useful in clinical/research settings to demarcate the boundaries of schizophrenia spectrum disorders from affective psychoses.

Identifiants

pubmed: 37311427
pii: 000530588
doi: 10.1159/000530588
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-9

Informations de copyright

© 2023 S. Karger AG, Basel.

Auteurs

Massimo Ballerini (M)

Department of Mental Health, USLCENTRO, Florence, Italy.

Silvana Galderisi (S)

Department of Psychiatry, University of Campania "Luigi Vanvitelli", Naples, Italy.

Paola Bucci (P)

Department of Psychiatry, University of Campania "Luigi Vanvitelli", Naples, Italy.

Armida Mucci (A)

Department of Psychiatry, University of Campania "Luigi Vanvitelli", Naples, Italy.

Paul H Lysaker (PH)

Richard L Roudebush VA Medical Center, Department of Psychiatry, Indianapolis, Indiana, USA.
Indiana University School of Medicine, Department of Psychiatry, Indianapolis, Indiana, USA.

Giovanni Stanghellini (G)

Department of Psychological, Humanistic and Territorial Sciences, G. D'Annunzio University, Chieti, Italy.
D. Portales University, Santiago, Chile.

Classifications MeSH