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...
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MDPI AG
2022-07-01
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| Series: | Journal of Clinical Medicine |
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| Online Access: | https://www.mdpi.com/2077-0383/11/14/4069 |
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| author | Matteo Carpi Daniel Ruivo Marques Alberto Milanese Annarita Vestri |
| author_facet | Matteo Carpi Daniel Ruivo Marques Alberto Milanese Annarita Vestri |
| author_sort | Matteo Carpi |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-09T13:37:27Z |
| format | Article |
| id | doaj.art-bfe716af45e149c5a94272cc09c5734e |
| institution | Directory Open Access Journal |
| issn | 2077-0383 |
| language | English |
| last_indexed | 2024-03-09T13:37:27Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Clinical Medicine |
| spelling | doaj.art-bfe716af45e149c5a94272cc09c5734e2023-11-30T21:10:34ZengMDPI AGJournal of Clinical Medicine2077-03832022-07-011114406910.3390/jcm11144069Sleep Quality and Insomnia Severity among Italian University Students: A Latent Profile AnalysisMatteo Carpi0Daniel Ruivo Marques1Alberto Milanese2Annarita Vestri3Department of Psychology, Sapienza University of Rome, 00185 Rome, ItalyDepartment of Education and Psychology, Campus Universitário de Santiago, University of Aveiro, 3810-193 Aveiro, PortugalDepartment of Biomedical and Clinical Sciences “L. Sacco”, University of Milan, 20122 Milan, ItalyDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, 00185 Rome, ItalyInsomnia 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.https://www.mdpi.com/2077-0383/11/14/4069insomniasleep qualityuniversity studentslatent profile analysissymptom profiles |
| spellingShingle | Matteo Carpi Daniel Ruivo Marques Alberto Milanese Annarita Vestri Sleep Quality and Insomnia Severity among Italian University Students: A Latent Profile Analysis Journal of Clinical Medicine insomnia sleep quality university students latent profile analysis symptom profiles |
| 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 | insomnia sleep quality university students latent profile analysis symptom profiles |
| url | https://www.mdpi.com/2077-0383/11/14/4069 |
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