The relationship between wearable-derived sleep features and relapse in Major Depressive Disorder
Por:
Matcham F, Carr E, Meyer N, White KM, Oetzmann C, Leightley D, Lamers F, Siddi S, Cummins N, Annas P, de Girolamo G, Haro JM, Lavelle G, Li Q, Lombardini F, Mohr DC, Narayan VA, Penninx BWHJ, Coromina M, Riquelme Alacid G, Simblett SK, Nica R, Wykes T, Brasen JC, Myin-Germeys I, Dobson RJB, Folarin AA, Ranjan Y, Rashid Z, Dineley J, Vairavan S and Hotopf M
Publicada:
15 oct 2024
Ahead of Print:
1 jul 2024
Resumen:
Background: Changes in sleep and circadian function are leading candidate markers for the detection of relapse in Major Depressive Disorder (MDD). Consumer-grade wearable devices may enable remote and real-time examination of dynamic changes in sleep. Fitbit data from individuals with recurrent MDD were used to describe the longitudinal effects of sleep duration, quality, and regularity on subsequent depression relapse and severity. Methods: Data were collected as part of a longitudinal observational mobile Health (mHealth) cohort study in people with recurrent MDD. Participants wore a Fitbit device and completed regular outcome assessments via email for a median follow-up of 541 days. We used multivariable regression models to test the effects of sleep features on depression outcomes. We considered respondents with at least one assessment of relapse (n = 218) or at least one assessment of depression severity (n = 393). Results: Increased intra-individual variability in total sleep time, greater sleep fragmentation, lower sleep efficiency, and more variable sleep midpoints were associated with worse depression outcomes. Adjusted Population Attributable Fractions suggested that an intervention to increase sleep consistency in adults with MDD could reduce the population risk for depression relapse by up to 22 %. Limitations: Limitations include a potentially underpowered primary outcome due to the smaller number of relapses identified than expected.
Filiaciones:
Matcham F:
School of Psychology, University of Sussex, Falmer, UK
Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
Carr E:
Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
Meyer N:
Insomnia and Behavioural Sleep Medicine Clinic, University College London Hospitals NHS Foundation Trust, London, UK
White KM:
Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
Oetzmann C:
Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
Leightley D:
Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
Lamers F:
Department of Psychiatry and Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit, Amsterdam, the Netherlands
Siddi S:
Parc Sanitari Sant Joan de Déu, Fundació San Joan de Déu, CIBERSAM, Universitat de Barcelona, Barcelona, Spain
Cummins N:
Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
Annas P:
H. Lundbeck A/S, Valby, Denmark
de Girolamo G:
IRCCS Instituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
Haro JM:
Parc Sanitari Sant Joan de Déu, Fundació San Joan de Déu, CIBERSAM, Universitat de Barcelona, Barcelona, Spain
Lavelle G:
Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
Li Q:
H. Lundbeck A/S, Valby, Denmark
Lombardini F:
Parc Sanitari Sant Joan de Déu, Fundació San Joan de Déu, CIBERSAM, Universitat de Barcelona, Barcelona, Spain
Mohr DC:
Center for Behavioral Intervention Technologies, Department of Preventative Medicine, Northwestern University, Chicago, IL, USA
Narayan VA:
Davos Alzheimer's Collaborative, Wayne, PA, USA
Penninx BWHJ:
Insomnia and Behavioural Sleep Medicine Clinic, University College London Hospitals NHS Foundation Trust, London, UK
Coromina M:
Parc Sanitari Sant Joan de Déu, Fundació San Joan de Déu, CIBERSAM, Universitat de Barcelona, Barcelona, Spain
Riquelme Alacid G:
Parc Sanitari Sant Joan de Déu, Fundació San Joan de Déu, CIBERSAM, Universitat de Barcelona, Barcelona, Spain
Simblett SK:
Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
Nica R:
RADAR-CNS Patient Advisory Board, UK
Wykes T:
Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
South London and Maudsley NHS Foundation Trust, London, UK
Brasen JC:
H. Lundbeck A/S, Valby, Denmark
Myin-Germeys I:
Center for Contextual Psychiatry, Department of Neurosciences, KU Leuven, Leuven, Belgium
Dobson RJB:
Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
Folarin AA:
Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
South London and Maudsley NHS Foundation Trust, London, UK
Ranjan Y:
Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
Rashid Z:
Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
Dineley J:
Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
Vairavan S:
Janssen Research and Development, LLC, Titusville, NJ, USA
Hotopf M:
Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
South London and Maudsley NHS Foundation Trust, London, UK
RADAR-CNS consortium:
Radar-cns.org, UK
hybrid
|