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Exploring the dynamic relationships between nocturnal heart rate, sleep disruptions, anxiety levels, and depression severity over time in recurrent major depressive disorder

  • Elena Condominas
  • , Albert Sanchez-Niubo
  • , Joan Domènech-Abella
  • , Josep Maria Haro
  • , Raquel Bailon
  • , Iago Giné-Vázquez
  • , Gemma Riquelme
  • , Faith Matcham
  • , Femke Lamers
  • , Spyridon Kontaxis
  • , Estela Laporta
  • , Esther Garcia
  • , Maria Teresa Peñarrubia Maria
  • , Katie M. White
  • , Carolin Oetzmann
  • , Peter Annas
  • , Matthew Hotopf
  • , Brenda W. J. H. Penninx
  • , Vaibhav A. Narayan
  • , Amos Folarin
  • Daniel Leightley, Nicholas Cummins, Yathart Ranjan, Giovanni de Girolamo, Antonio Preti, Sara Simblett, Til Wykes, RADAR-CNS Consortium
  • Sant Joan de Déu Research Institute
  • Polytechnic University of Catalonia
  • University of Barcelona
  • Centro de Investigación Biomèdica en Red de Salud Mental (CIBERSAM)
  • Parc Sanitari Sant Joan de Déu
  • University of Zaragoza
  • Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina
  • King's College London
  • University of Sussex
  • Vrije Universiteit Amsterdam
  • Autonomous University of Barcelona
  • BBN Technologies
  • H. Lundbeck A/S
  • Davos Alzheimer's Collaborative
  • IRCCS Centro San Giovanni di Dio Fatebenefratelli - Brescia
  • University of Turin
  • South London and Maudsley NHS Foundation Trust
  • KU Leuven

Research output: Contribution to journalReview articleAcademicpeer-review

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Abstract

Background: Elevated night resting heart rate (HR) has been associated with increased depression severity, yet the underlying mechanisms remain elusive. This study aimed to investigate the mediating role of sleep disturbance and the influence of anxiety on the relationship between night resting HR and depression severity. Methods: This is a secondary data analysis of data collected in the Remote Assessment of Disease and Relapse (RADAR) Major Depressive Disorder (MDD) longitudinal mobile health study, encompassing 461 participants (1774 observations) across three national centers (Netherlands, Spain, and the UK). Depression severity, anxiety, and sleep disturbance were assessed every three months. Night resting HR parameters in the 2 weeks preceding assessments were measured using a wrist-worn Fitbit device. Linear mixed models and causal mediation analysis were employed to examine the impact of sleep disturbance and anxiety on night resting HR on depression severity. Covariates included age, sex, BMI, smoking, alcohol consumption, antidepressant use, and comorbidities with other medical conditions. Results: Higher night resting HR was linked to subsequent depressive severity, through the mediation of sleep disturbance. Anxiety contributed to an exacerbated level of sleep disturbance, subsequently intensifying depression severity. Anxiety exhibited no direct effect on night resting HR. Conclusions: Our findings underscore the mediating role of sleep disturbance in the effect of night resting HR on depression severity, and anxiety on depression severity. This insight has potential implications for early identification of indicators signalling worsening depression symptoms, enabling clinicians to initiate timely and responsive treatment measures.
Original languageEnglish
Pages (from-to)139-148
Number of pages10
JournalJournal of affective disorders
Volume376
DOIs
Publication statusPublished - 1 May 2025

Keywords

  • Anxiety
  • Depression
  • Mobile health (mHealth)
  • Night resting heart rate
  • Real-world monitoring
  • Sleep disturbance

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