Targeting Sleep to Improve Outcomes in Psychosis: Digital and Non-Pharmacological Interventions

Sleep disturbances are among the most prevalent and clinically significant features observed across the psychosis spectrum, ranging from clinical high-risk (CHR) mental states to first-episode psychosis (FEP) and chronic schizophrenia. Far from being merely secondary phenomena, sleep difficulties—including insomnia, circadian rhythm disruption, altered sleep architecture, hypersomnia, and nightmare disorder—are increasingly acknowledged as transdiagnostic risk factors that may contribute to symptom severity, cognitive impairment, functional decline, and heightened suicidal risk. This narrative review consolidates current evidence on the epidemiology and neurobiological foundations of sleep disturbances in the psychosis spectrum and critically evaluates available non-pharmacological and digital interventions aimed at targeting sleep as a modifiable clinical outcome. We posit that sleep represents a critical, potentially modifiable intervention target within psychosis and that integrating sleep-focused care into standard clinical pathways may substantially enhance clinical, functional, and safety outcomes throughout the illness spectrum, pending replication in adequately powered randomized controlled trials.

Authors

Institutions

Publication Details

Journal
Medicina
Published
2026-06-30
DOI
https://doi.org/10.3390/medicina62071269
Primary Topic
Sleep and related disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Targeting Sleep to Improve Outcomes in Psychosis: Digital and Non-Pharmacological Interventions

Diana De Ronchi, Lorenzo Pelizza, Giorgia Varallo, Martina Gnazzo et al.
Medicina
Sleep and related disorders
article

Targeting Sleep to Improve Outcomes in Psychosis: Digital and Non-Pharmacological Interventions

Diana De Ronchi, Lorenzo Pelizza, Giorgia Varallo, Martina Gnazzo, Giuseppe Plazzi, Valentina Baldini, Marco Menchetti
article en

Abstract

Sleep disturbances are among the most prevalent and clinically significant features observed across the psychosis spectrum, ranging from clinical high-risk (CHR) mental states to first-episode psychosis (FEP) and chronic schizophrenia. Far from being merely secondary phenomena, sleep difficulties—including insomnia, circadian rhythm disruption, altered sleep architecture, hypersomnia, and nightmare disorder—are increasingly acknowledged as transdiagnostic risk factors that may contribute to symptom severity, cognitive impairment, functional decline, and heightened suicidal risk. This narrative review consolidates current evidence on the epidemiology and neurobiological foundations of sleep disturbances in the psychosis spectrum and critically evaluates available non-pharmacological and digital interventions aimed at targeting sleep as a modifiable clinical outcome. We posit that sleep represents a critical, potentially modifiable intervention target within psychosis and that integrating sleep-focused care into standard clinical pathways may substantially enhance clinical, functional, and safety outcomes throughout the illness spectrum, pending replication in adequately powered randomized controlled trials.

MedicinaVol. 62(7)
University of Modena and Reggio Emilia (IT), University of Campania "Luigi Vanvitelli" (IT), Istituto delle Scienze Neurologiche di Bologna (IT), Istituti di Ricovero e Cura a Carattere Scientifico (IT), University of Bologna (IT)
Good health and well-being
Openalex Percentile: Top 6%
Sleep and related disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.