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Archivio digitale delle tesi discusse presso l’Università di Pisa

Tesi etd-10242025-124107


Tipo di tesi
Tesi di specializzazione (4 anni)
Autore
MORICONI, MARTINA
URN
etd-10242025-124107
Titolo
Correlates of Negative Emotional Dysregulation in Cyclothymic Patients: a naturalistic study of a cohort of 147 Cyclothymic Patients
Dipartimento
MEDICINA CLINICA E SPERIMENTALE
Corso di studi
PSICHIATRIA
Relatori
relatore Perugi, Giulio
Parole chiave
  • cyclothymia
  • dysregulation
  • emotional
  • negative
Data inizio appello
12/11/2025
Consultabilità
Non consultabile
Data di rilascio
12/11/2095
Riassunto
Cyclothymia is characterized by emotional dysregulation with extreme mood instability and reactivity. However, these dysregulations may be more or less pronounced. The aims of the study were to evaluate the differences between cyclothymic subjects with and without marked traits of negative emotional dysregulation (NED), and to identify predictors of NED.
One hundred forty-seven cyclothymic patients attending the Second Psychiatry Unit at the Santa Chiara University Hospital (Pisa) were recruited. Sociodemographic variables, lifetime psychiatric comorbidity, and current psychopharmacological treatment and psychopathological characteristics were collected. Emotional dysregulation was measured using the Reactivity, Intensity, Polarity, and Stability questionnaire in its 40-item version (RIPoSt-40). Subjects were divided into two groups based on the presence of greater or lesser NED.
Eighty patients (54.45%) belonged to the group with greater NED and differed from those with lesser NED in age, age at first treatment, psychiatric comorbidity, eating disorders comorbidity, positive adult attention-deficit/hyperactivity disorder (ADHD) screening, use of benzodiazepines, and Adult Separation Anxiety Symptom Questionnaire (ASA-27) and Biological Rhythms Interview of Assessment in Neuropsychiatry (BRIAN) total scores. Age, adult ADHD positive screening , ASA-27 total score, and BRIAN total score were predictors of NED (adjusted R Square=0.61).
Identifying these patient characteristics could be clinically important for the development of personalized interventions.
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