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Comparison of sleep characteristics measurements : a case study with a population aged 65 and above

  • Good sleep is crucial for a healthy life of every person. Unfortunately, its quality often decreases with aging. A common approach to measuring the sleep characteristics is based on interviews with the subjects or letting them fill in a daily questionnaire and afterward evaluating the obtained data. However, this method has time and personal costs for the interviewer and evaluator of responses. Therefore, it would be important to execute the collection and evaluation of sleep characteristics automatically. To do that, it is necessary to investigate the level of agreement between measurements performed in a traditional way using questionnaires and measurements obtained using electronic monitoring devices. The study presented in this manuscript performs this investigation, comparing such sleep characteristics as "time going to bed", "total time in bed", "total sleep time" and "sleep efficiency". A total number of 106 night records of elderly persons (aged 65+) were analyzed. The results achieved so far reveal the fact that the degree of agreement between the two measurement methods varies substantially for different characteristics, from 31 minutes of mean difference for "time going to bed" to 77 minutes for "total sleep time". For this reason, a direct exchange of objective and subjective measuring methods is currently not possible.

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Metadaten
Author:Maksym Gaiduk, Ralf Seepold, Juan Antonio Ortega, Natividad Martínez Madrid
DOI:https://doi.org/10.1016/j.procs.2020.09.297
ISSN:1877-0509
Parent Title (English):24rd International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES2020), 16 - 18 September 2020, Verona, Italy, virtual; (Procedia Computer Science)
Volume:176
Document Type:Conference Proceeding
Language:English
Year of Publication:2020
Release Date:2021/01/05
Tag:PSQI; Sleep efficiency; Sleep quality; Sleep study
First Page:2341
Last Page:2349
Institutes:Fakultät Informatik
Open Access?:Ja
Relevance:Peer reviewed Publikation in Liste der AG4
Licence (English):License LogoLizenzbedingungen Elsevier
Licence (German):License LogoCreative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International