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Cohort profile: The SmartSleep Study, Denmark, combining evidence from survey, clinical and tracking data

PURPOSE: The SmartSleep Study is established to comprehensively assess the impact of night-time smartphone use on sleep patterns and health. An innovative combination of large-scale repeated survey information, high-resolution sensor-driven smartphone data, in-depth clinical examination and registry...

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Autores principales: Rod, Naja Hulvej, Andersen, Thea Otte, Severinsen, Elin Rosenbek, Sejling, Christoffer, Dissing, Agnete, Pham, Vi Thanh, Nygaard, Mette, Schmidt, Lise Kristine Højsgaard, Drews, Henning Johannes, Varga, Tibor, Freiesleben, Nina La Cour, Nielsen, Henriette Svarre, Jensen, Andreas Kryger
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10551986/
https://www.ncbi.nlm.nih.gov/pubmed/37793923
http://dx.doi.org/10.1136/bmjopen-2022-063588
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author Rod, Naja Hulvej
Andersen, Thea Otte
Severinsen, Elin Rosenbek
Sejling, Christoffer
Dissing, Agnete
Pham, Vi Thanh
Nygaard, Mette
Schmidt, Lise Kristine Højsgaard
Drews, Henning Johannes
Varga, Tibor
Freiesleben, Nina La Cour
Nielsen, Henriette Svarre
Jensen, Andreas Kryger
author_facet Rod, Naja Hulvej
Andersen, Thea Otte
Severinsen, Elin Rosenbek
Sejling, Christoffer
Dissing, Agnete
Pham, Vi Thanh
Nygaard, Mette
Schmidt, Lise Kristine Højsgaard
Drews, Henning Johannes
Varga, Tibor
Freiesleben, Nina La Cour
Nielsen, Henriette Svarre
Jensen, Andreas Kryger
author_sort Rod, Naja Hulvej
collection PubMed
description PURPOSE: The SmartSleep Study is established to comprehensively assess the impact of night-time smartphone use on sleep patterns and health. An innovative combination of large-scale repeated survey information, high-resolution sensor-driven smartphone data, in-depth clinical examination and registry linkage allows for detailed investigations into multisystem physiological dysregulation and long-term health consequences associated with night-time smartphone use and sleep impairment. PARTICIPANTS: The SmartSleep Study consists of three interconnected data samples, which combined include 30 673 individuals with information on smartphone use, sleep and health. Subsamples of the study population also include high-resolution tracking data (n=5927) collected via a customised app and deep clinical phenotypical data (n=245). A total of 7208 participants are followed in nationwide health registries with full data coverage and long-term follow-up. FINDINGS TO DATE: We highlight previous findings on the relation between smartphone use and sleep in the SmartSleep Study, and we evaluate the interventional potential of the citizen science approach used in one of the data samples. We also present new results from an analysis in which we use 803 000 data points from the high-resolution tracking data to identify clusters of temporal trajectories of night-time smartphone use that characterise distinct use patterns. Based on these objective tracking data, we characterise four clusters of night-time smartphone use. FUTURE PLANS: The unprecedented size and coverage of the SmartSleep Study allow for a comprehensive documentation of smartphone activity during the entire sleep span. The study has been expanded by linkage to nationwide registers, which allow for further investigations into the long-term health and social consequences of night-time smartphone use. We also plan new rounds of data collection in the coming years.
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spelling pubmed-105519862023-10-06 Cohort profile: The SmartSleep Study, Denmark, combining evidence from survey, clinical and tracking data Rod, Naja Hulvej Andersen, Thea Otte Severinsen, Elin Rosenbek Sejling, Christoffer Dissing, Agnete Pham, Vi Thanh Nygaard, Mette Schmidt, Lise Kristine Højsgaard Drews, Henning Johannes Varga, Tibor Freiesleben, Nina La Cour Nielsen, Henriette Svarre Jensen, Andreas Kryger BMJ Open Epidemiology PURPOSE: The SmartSleep Study is established to comprehensively assess the impact of night-time smartphone use on sleep patterns and health. An innovative combination of large-scale repeated survey information, high-resolution sensor-driven smartphone data, in-depth clinical examination and registry linkage allows for detailed investigations into multisystem physiological dysregulation and long-term health consequences associated with night-time smartphone use and sleep impairment. PARTICIPANTS: The SmartSleep Study consists of three interconnected data samples, which combined include 30 673 individuals with information on smartphone use, sleep and health. Subsamples of the study population also include high-resolution tracking data (n=5927) collected via a customised app and deep clinical phenotypical data (n=245). A total of 7208 participants are followed in nationwide health registries with full data coverage and long-term follow-up. FINDINGS TO DATE: We highlight previous findings on the relation between smartphone use and sleep in the SmartSleep Study, and we evaluate the interventional potential of the citizen science approach used in one of the data samples. We also present new results from an analysis in which we use 803 000 data points from the high-resolution tracking data to identify clusters of temporal trajectories of night-time smartphone use that characterise distinct use patterns. Based on these objective tracking data, we characterise four clusters of night-time smartphone use. FUTURE PLANS: The unprecedented size and coverage of the SmartSleep Study allow for a comprehensive documentation of smartphone activity during the entire sleep span. The study has been expanded by linkage to nationwide registers, which allow for further investigations into the long-term health and social consequences of night-time smartphone use. We also plan new rounds of data collection in the coming years. BMJ Publishing Group 2023-10-04 /pmc/articles/PMC10551986/ /pubmed/37793923 http://dx.doi.org/10.1136/bmjopen-2022-063588 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Epidemiology
Rod, Naja Hulvej
Andersen, Thea Otte
Severinsen, Elin Rosenbek
Sejling, Christoffer
Dissing, Agnete
Pham, Vi Thanh
Nygaard, Mette
Schmidt, Lise Kristine Højsgaard
Drews, Henning Johannes
Varga, Tibor
Freiesleben, Nina La Cour
Nielsen, Henriette Svarre
Jensen, Andreas Kryger
Cohort profile: The SmartSleep Study, Denmark, combining evidence from survey, clinical and tracking data
title Cohort profile: The SmartSleep Study, Denmark, combining evidence from survey, clinical and tracking data
title_full Cohort profile: The SmartSleep Study, Denmark, combining evidence from survey, clinical and tracking data
title_fullStr Cohort profile: The SmartSleep Study, Denmark, combining evidence from survey, clinical and tracking data
title_full_unstemmed Cohort profile: The SmartSleep Study, Denmark, combining evidence from survey, clinical and tracking data
title_short Cohort profile: The SmartSleep Study, Denmark, combining evidence from survey, clinical and tracking data
title_sort cohort profile: the smartsleep study, denmark, combining evidence from survey, clinical and tracking data
topic Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10551986/
https://www.ncbi.nlm.nih.gov/pubmed/37793923
http://dx.doi.org/10.1136/bmjopen-2022-063588
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