Cargando…

Sleep Quality and Insomnia Severity among Italian University Students: A Latent Profile Analysis

Insomnia is a widespread sleep disorder associated with physical and mental health conditions. Although the heterogeneity of insomnia presentations has been acknowledged, research investigating clinically meaningful insomnia subtypes is still ongoing. This study aimed at exploring insomnia subtypes...

Descripción completa

Detalles Bibliográficos
Autores principales: Carpi, Matteo, Marques, Daniel Ruivo, Milanese, Alberto, Vestri, Annarita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9318221/
https://www.ncbi.nlm.nih.gov/pubmed/35887833
http://dx.doi.org/10.3390/jcm11144069
_version_ 1784755237972606976
author Carpi, Matteo
Marques, Daniel Ruivo
Milanese, Alberto
Vestri, Annarita
author_facet Carpi, Matteo
Marques, Daniel Ruivo
Milanese, Alberto
Vestri, Annarita
author_sort Carpi, Matteo
collection PubMed
description Insomnia is a widespread sleep disorder associated with physical and mental health conditions. Although the heterogeneity of insomnia presentations has been acknowledged, research investigating clinically meaningful insomnia subtypes is still ongoing. This study aimed at exploring insomnia subtypes according to widely-used measures of symptoms severity and sleep quality among Italian university students using a latent profile analysis. Data were collected from 490 students reporting relevant insomnia symptoms through an online cross-sectional survey comprising the Insomnia Severity Index, the Pittsburgh Sleep Quality Index, the 21-item Depression Anxiety Stress Scale, and the Short Form-12. Latent profile analysis identified five insomnia subtypes. The severe insomnia (8.8%) group showed the highest insomnia severity, with diverse complaints concerning sleep quality and daytime functioning. Moderate insomnia with sleep duration complaints (8.4%) and moderate insomnia with medication use (15.9%) subgroups were characterized by middle range insomnia severity, with problems of sleep continuity and sleep medication use, respectively. Subthreshold insomnia with sleep latency complaints (20.4%) and subthreshold insomnia (46.5%) groups showed attenuated insomnia symptoms. Higher psychological complaints and worse quality of life were associated with greater sleep complaints. Overall, these findings highlight the relevance of sleep quality domains in identifying insomnia subtypes and might help optimize insomnia treatments.
format Online
Article
Text
id pubmed-9318221
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-93182212022-07-27 Sleep Quality and Insomnia Severity among Italian University Students: A Latent Profile Analysis Carpi, Matteo Marques, Daniel Ruivo Milanese, Alberto Vestri, Annarita J Clin Med Article Insomnia is a widespread sleep disorder associated with physical and mental health conditions. Although the heterogeneity of insomnia presentations has been acknowledged, research investigating clinically meaningful insomnia subtypes is still ongoing. This study aimed at exploring insomnia subtypes according to widely-used measures of symptoms severity and sleep quality among Italian university students using a latent profile analysis. Data were collected from 490 students reporting relevant insomnia symptoms through an online cross-sectional survey comprising the Insomnia Severity Index, the Pittsburgh Sleep Quality Index, the 21-item Depression Anxiety Stress Scale, and the Short Form-12. Latent profile analysis identified five insomnia subtypes. The severe insomnia (8.8%) group showed the highest insomnia severity, with diverse complaints concerning sleep quality and daytime functioning. Moderate insomnia with sleep duration complaints (8.4%) and moderate insomnia with medication use (15.9%) subgroups were characterized by middle range insomnia severity, with problems of sleep continuity and sleep medication use, respectively. Subthreshold insomnia with sleep latency complaints (20.4%) and subthreshold insomnia (46.5%) groups showed attenuated insomnia symptoms. Higher psychological complaints and worse quality of life were associated with greater sleep complaints. Overall, these findings highlight the relevance of sleep quality domains in identifying insomnia subtypes and might help optimize insomnia treatments. MDPI 2022-07-14 /pmc/articles/PMC9318221/ /pubmed/35887833 http://dx.doi.org/10.3390/jcm11144069 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Carpi, Matteo
Marques, Daniel Ruivo
Milanese, Alberto
Vestri, Annarita
Sleep Quality and Insomnia Severity among Italian University Students: A Latent Profile Analysis
title Sleep Quality and Insomnia Severity among Italian University Students: A Latent Profile Analysis
title_full Sleep Quality and Insomnia Severity among Italian University Students: A Latent Profile Analysis
title_fullStr Sleep Quality and Insomnia Severity among Italian University Students: A Latent Profile Analysis
title_full_unstemmed Sleep Quality and Insomnia Severity among Italian University Students: A Latent Profile Analysis
title_short Sleep Quality and Insomnia Severity among Italian University Students: A Latent Profile Analysis
title_sort sleep quality and insomnia severity among italian university students: a latent profile analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9318221/
https://www.ncbi.nlm.nih.gov/pubmed/35887833
http://dx.doi.org/10.3390/jcm11144069
work_keys_str_mv AT carpimatteo sleepqualityandinsomniaseverityamongitalianuniversitystudentsalatentprofileanalysis
AT marquesdanielruivo sleepqualityandinsomniaseverityamongitalianuniversitystudentsalatentprofileanalysis
AT milanesealberto sleepqualityandinsomniaseverityamongitalianuniversitystudentsalatentprofileanalysis
AT vestriannarita sleepqualityandinsomniaseverityamongitalianuniversitystudentsalatentprofileanalysis