Academic Journal
Cluster-specific urban contexts associated with high levels of sleep impairment and daytime sleepiness: Findings from the Urbasan collaborative study
| Τίτλος: | Cluster-specific urban contexts associated with high levels of sleep impairment and daytime sleepiness: Findings from the Urbasan collaborative study |
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| Συγγραφείς: | Voruz, P., Vieira Ruas, M., Fellay, N., Romano, N., Mussini, M., Saubade, M., Faivre, V., Gremeaux, V., Jeanneret, O., Tonnerre, Q., Domon-Aubort, M.N., Spini, D., Kayser, B., Rappo, D., Joost, S. |
| Πηγή: | Journal of affective disorders, vol. 382, pp. 392-398 |
| Στοιχεία εκδότη: | Elsevier BV, 2025. |
| Έτος έκδοσης: | 2025 |
| Θεματικοί όροι: | Male, Adult, Sleep Wake Disorders, Urban Population, Adolescent, Disorders of Excessive Somnolence, Middle Aged, Young Adult, Sleep Quality, Surveys and Questionnaires, Prevalence, Humans, Female, Switzerland/epidemiology, Urban Population/statistics & numerical data, Sleep Wake Disorders/epidemiology, Aged, Disorders of Excessive Somnolence/epidemiology, Switzerland |
| Περιγραφή: | Impaired sleep is a global health concern. However, the environmental factors contributing to sleep impairment in urban settings are still not well understood.This study involved 179 participants from a Swiss municipality (Yverdon-les-Bains), where sleep quality and diurnal sleepiness were measured using validated questionnaires, alongside environmental and geo-referenced data.The findings revealed a high prevalence of sleep disorders across diverse demographic groups (respectively 15.6 % for diurnal sleepiness and 91.1 % for significantly altered sleep quality). Additionally, sleep disorders were associated with both environmental and socio-demographic factors. Geospatial analysis identified clusters of sleep disturbances in specific neighborhoods, with distinct associations to specific sub-scores (factors) of the sleep evaluation.Assessing sleep in urban environments is crucial, as it is linked to elevated levels of sleepiness. Environmental and socio-demographic variables play significant roles in these disturbances. The incorporation of geospatial analyses allows for a more precise identification of patterns within the city, offering opportunities for tailored interventions to address the different patterns of sleep disorders. |
| Τύπος εγγράφου: | Article |
| Περιγραφή αρχείου: | application/pdf |
| Γλώσσα: | English |
| ISSN: | 0165-0327 |
| DOI: | 10.1016/j.jad.2025.04.133 |
| Σύνδεσμος πρόσβασης: | https://pubmed.ncbi.nlm.nih.gov/40280430 http://nbn-resolving.org/urn/resolver.pl?urn=urn:nbn:ch:serval-BIB_7D6777FC35486 https://serval.unil.ch/notice/serval:BIB_7D6777FC3548 https://serval.unil.ch/resource/serval:BIB_7D6777FC3548.P001/REF.pdf |
| Rights: | CC BY |
| Αριθμός Καταχώρησης: | edsair.doi.dedup.....3b0b9e22a5a75c4acc4b61c9bfc09790 |
| Βάση Δεδομένων: | OpenAIRE |
| ISSN: | 01650327 |
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| DOI: | 10.1016/j.jad.2025.04.133 |