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

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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.

I: BMJ Open, Bind 13, Nr. 10, e063588, 2023.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Rod, NH, Andersen, TO, Severinsen, ER, Sejling, C, Dissing, A, Pham, VT, Nygaard, M, Schmidt, LKH, Drews, HJ, Varga, T, Freiesleben, NLC, Nielsen, HS & Jensen, AK 2023, 'Cohort profile: The SmartSleep Study, Denmark, combining evidence from survey, clinical and tracking data', BMJ Open, bind 13, nr. 10, e063588. https://doi.org/10.1136/bmjopen-2022-063588

APA

Rod, N. H., Andersen, T. O., Severinsen, E. R., Sejling, C., Dissing, A., Pham, V. T., Nygaard, M., Schmidt, L. K. H., Drews, H. J., Varga, T., Freiesleben, N. L. C., Nielsen, H. S., & Jensen, A. K. (2023). Cohort profile: The SmartSleep Study, Denmark, combining evidence from survey, clinical and tracking data. BMJ Open, 13(10), [e063588]. https://doi.org/10.1136/bmjopen-2022-063588

Vancouver

Rod NH, Andersen TO, Severinsen ER, Sejling C, Dissing A, Pham VT o.a. Cohort profile: The SmartSleep Study, Denmark, combining evidence from survey, clinical and tracking data. BMJ Open. 2023;13(10). e063588. https://doi.org/10.1136/bmjopen-2022-063588

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. / Cohort profile : The SmartSleep Study, Denmark, combining evidence from survey, clinical and tracking data. I: BMJ Open. 2023 ; Bind 13, Nr. 10.

Bibtex

@article{2cce565ed74c4a42b666284f6a508760,
title = "Cohort profile: The SmartSleep Study, Denmark, combining evidence from survey, clinical and tracking data",
abstract = "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.",
keywords = "EPIDEMIOLOGY, PUBLIC HEALTH, SLEEP MEDICINE",
author = "Rod, {Naja Hulvej} and Andersen, {Thea Otte} and Severinsen, {Elin Rosenbek} and Christoffer Sejling and Agnete Dissing and Pham, {Vi Thanh} and Mette Nygaard and Schmidt, {Lise Kristine H{\o}jsgaard} and Drews, {Henning Johannes} and Tibor Varga and Freiesleben, {Nina La Cour} and Nielsen, {Henriette Svarre} and Jensen, {Andreas Kryger}",
note = "Publisher Copyright: {\textcopyright} 2023 BMJ Publishing Group. All rights reserved.",
year = "2023",
doi = "10.1136/bmjopen-2022-063588",
language = "English",
volume = "13",
journal = "BMJ Open",
issn = "2044-6055",
publisher = "BMJ Publishing Group",
number = "10",

}

RIS

TY - JOUR

T1 - Cohort profile

T2 - The SmartSleep Study, Denmark, combining evidence from survey, clinical and tracking data

AU - Rod, Naja Hulvej

AU - Andersen, Thea Otte

AU - Severinsen, Elin Rosenbek

AU - Sejling, Christoffer

AU - Dissing, Agnete

AU - Pham, Vi Thanh

AU - Nygaard, Mette

AU - Schmidt, Lise Kristine Højsgaard

AU - Drews, Henning Johannes

AU - Varga, Tibor

AU - Freiesleben, Nina La Cour

AU - Nielsen, Henriette Svarre

AU - Jensen, Andreas Kryger

N1 - Publisher Copyright: © 2023 BMJ Publishing Group. All rights reserved.

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

KW - EPIDEMIOLOGY

KW - PUBLIC HEALTH

KW - SLEEP MEDICINE

U2 - 10.1136/bmjopen-2022-063588

DO - 10.1136/bmjopen-2022-063588

M3 - Journal article

C2 - 37793923

AN - SCOPUS:85173697290

VL - 13

JO - BMJ Open

JF - BMJ Open

SN - 2044-6055

IS - 10

M1 - e063588

ER -

ID: 373193166