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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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 |
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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 |
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