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dc.contributor.authorConcheiro-Moscoso, Patricia
dc.contributor.authorGroba, Betania
dc.contributor.authorMartínez-Martínez, Francisco José
dc.contributor.authorMiranda-Duro, María del Carmen
dc.contributor.authorNieto-Riveiro, Laura
dc.contributor.authorPousada, Thais
dc.contributor.authorPereira-Loureiro, Javier
dc.date.accessioned2022-09-14T11:00:38Z
dc.date.available2022-09-14T11:00:38Z
dc.date.issued2022-08-29
dc.identifier.citationConcheiro-Moscoso P, Groba B, Martínez-Martínez FJ, Miranda-Duro MDC, Nieto-Riveiro L, Pousada T, Pereira J. Use of the Xiaomi Mi Band for sleep monitoring and its influence on the daily life of older people living in a nursing home. Digit Health. 2022 Aug 29;8:20552076221121162.es_ES
dc.identifier.issn2055-2076
dc.identifier.urihttp://hdl.handle.net/2183/31596
dc.description.abstract[Abstract] Background: Lower quantity and poorer sleep quality are common in most older adults, especially for those who live in a nursing home. The use of wearable devices, which measure some parameters such as the sleep stages, could help to determine the influence of sleep quality in daily activity among nursing home residents. Therefore, this study aims to analyse the influence of sleep and its changes concerning the health status and daily activity of older people who lived in a nursing home, by monitoring the participants for a year with Xiaomi Mi Band 2. Methods: This is a longitudinal study set in a nursing home in [Details omitted for double-anonymized peer reviewed]. The Xiaomi Mi Band 2 will be used to measure biomedical parameters and different assessment tools will be administered to participants for evaluating their quality of life, sleep quality, cognitive state, and daily functioning. Results: A total of 21 nursing home residents participated in the study, with a mean age of 86.38 ± 9.26. The main outcomes were that sleep may influence daily activity, cognitive state, quality of life, and level of dependence in activities of daily life. Moreover, environmental factors and the passage of time could also impact sleep. Conclusions: Xiaomi Mi Band 2 could be an objective tool to assess the sleep of older adults and know its impact on some factors related to health status and quality of life of older nursing homes residents.es_ES
dc.description.sponsorshipThis work was supported by the CITIC by the European Regional Development Fund – Galicia 2014–2020 Program, Handytronic chair (grant number 523/2017) Scholarships to develop a PhD thesis by the European Social Fund, National Program of R+D+i oriented to the Challenges of Society 2019 (grant numbers ED431G-2019/01, ED481A-2019/069, PRE2020-094308, PID2019-104323RB-C33).
dc.description.sponsorshipinfo:eu-repo/grantAgreement/AEI/Programa Estatal de Generación de Conocimiento y Fortalecimiento Científico y Tecnológico del Sistema de I+D+i/PID2019-104323RB-C33/ES/EVALUACION Y ASESORAMIENTO PARA LA MEJOR EFICIENCIA Y EFECTIVIDAD DE LA TECNOLOGIA DE APOYO
dc.language.isoenges_ES
dc.publisherSAGEes_ES
dc.relation.urihttps://doi.org/10.1177/20552076221121162es_ES
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC-BY-NC-ND 4.0)es_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectXiaomi mi smart band 2es_ES
dc.subjectSleepes_ES
dc.subjectActivities of daily lifees_ES
dc.subjectAginges_ES
dc.subjectOccupational therapyes_ES
dc.subjectParticipatory healthes_ES
dc.subjectQuality of lifees_ES
dc.subjectWereable technologyes_ES
dc.titleUse of the Xiaomi Mi Band for sleep monitoring and its influence on the daily life of older people living in a nursing homees_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.journalTitleDigital Healthes_ES
UDC.volume8es_ES


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