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...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMJ Publishing Group
2023-10-01
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| Series: | BMJ Open |
| Online Access: | https://bmjopen.bmj.com/content/13/10/e063588.full |
| _version_ | 1797628946944098304 |
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| author | Naja Hulvej Rod Nina La Cour Freiesleben Andreas Kryger Jensen Henriette Svarre Nielsen Thea Otte Andersen Elin Rosenbek Severinsen Christoffer Sejling Agnete Dissing Vi Thanh Pham Mette Nygaard Lise Kristine Højsgaard Schmidt Henning Johannes Drews Tibor Varga |
| author_facet | Naja Hulvej Rod Nina La Cour Freiesleben Andreas Kryger Jensen Henriette Svarre Nielsen Thea Otte Andersen Elin Rosenbek Severinsen Christoffer Sejling Agnete Dissing Vi Thanh Pham Mette Nygaard Lise Kristine Højsgaard Schmidt Henning Johannes Drews Tibor Varga |
| author_sort | Naja Hulvej Rod |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-11T10:47:31Z |
| format | Article |
| id | doaj.art-dd22ae356a294172820fba88b217f715 |
| institution | Directory Open Access Journal |
| issn | 2044-6055 |
| language | English |
| last_indexed | 2024-03-11T10:47:31Z |
| publishDate | 2023-10-01 |
| publisher | BMJ Publishing Group |
| record_format | Article |
| series | BMJ Open |
| spelling | doaj.art-dd22ae356a294172820fba88b217f7152023-11-14T03:45:08ZengBMJ Publishing GroupBMJ Open2044-60552023-10-01131010.1136/bmjopen-2022-063588Cohort profile: The SmartSleep Study, Denmark, combining evidence from survey, clinical and tracking dataNaja Hulvej Rod0Nina La Cour Freiesleben1Andreas Kryger Jensen2Henriette Svarre Nielsen3Thea Otte Andersen4Elin Rosenbek Severinsen5Christoffer Sejling6Agnete Dissing7Vi Thanh Pham8Mette Nygaard9Lise Kristine Højsgaard Schmidt10Henning Johannes Drews11Tibor Varga12Department of Public Health, University of Copenhagen, Copenhagen, DenmarkDepartment of Obstetrics and Gynaecology, The Fertility Clinic, Hvidovre Hospital, Hvidovre, DenmarkDepartment of Public Health, University of Copenhagen, Copenhagen, DenmarkDepartment of Obstetrics and Gynecology, Hvidovre Hospital, Hvidovre, DenmarkDepartment of Public Health, University of Copenhagen, Copenhagen, DenmarkDepartment of Public Health, University of Copenhagen, Copenhagen, DenmarkDepartment of Public Health, University of Copenhagen, Copenhagen, DenmarkDepartment of Public Health, University of Copenhagen, Copenhagen, DenmarkDepartment of Public Health, University of Copenhagen, Copenhagen, DenmarkDepartment of Public Health, University of Copenhagen, Copenhagen, DenmarkDepartment of Public Health, University of Copenhagen, Copenhagen, DenmarkDepartment of Public Health, University of Copenhagen, Copenhagen, DenmarkDepartment of Public Health, University of Copenhagen, Copenhagen, DenmarkPurpose 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.https://bmjopen.bmj.com/content/13/10/e063588.full |
| spellingShingle | Naja Hulvej Rod Nina La Cour Freiesleben Andreas Kryger Jensen Henriette Svarre Nielsen Thea Otte Andersen Elin Rosenbek Severinsen Christoffer Sejling Agnete Dissing Vi Thanh Pham Mette Nygaard Lise Kristine Højsgaard Schmidt Henning Johannes Drews Tibor Varga Cohort profile: The SmartSleep Study, Denmark, combining evidence from survey, clinical and tracking data BMJ Open |
| 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 |
| url | https://bmjopen.bmj.com/content/13/10/e063588.full |
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