Different heart rate variability profile during sleep in mid-later life adults with remitted early-onset versus late-onset depression.

Ageing Autonomic function Depression HRV PSG Sleep

Journal

Journal of affective disorders
ISSN: 1573-2517
Titre abrégé: J Affect Disord
Pays: Netherlands
ID NLM: 7906073

Informations de publication

Date de publication:
01 May 2024
Historique:
received: 12 12 2023
revised: 08 04 2024
accepted: 11 04 2024
medline: 4 5 2024
pubmed: 4 5 2024
entrez: 3 5 2024
Statut: aheadofprint

Résumé

In mid-later life adults, early-onset and late-onset (i.e., onset ≥50 years) depression appear to be underpinned by different pathophysiology yet have not been examined in relation to autonomic function. Sleep provides an opportunity to examine the autonomic nervous system as the physiology changes across the night. Hence, we aimed to explore if autonomic profile is altered in mid-later life adults with remitted early-onset, late-onset and no history of lifetime depression. Participants aged 50-90 years (n = 188) from a specialised clinic underwent a comprehensive clinical assessment and completed an overnight polysomnography study. General Linear Models were used to examine the heart rate variability differences among the three groups for four distinct sleep stages and the wake after sleep onset. All analyses controlled for potential confounders - age, sex, current depressive symptoms and antidepressant usage. For the wake after sleep onset, mid-later life adults with remitted early-onset depression had reduced standard deviation of Normal to Normal intervals (SDNN; p = .014, d = -0.64) and Shannon Entropy (p = .004, d = -0.46,) than those with no history of lifetime depression. Further, the late-onset group showed a reduction in high-frequency heart rate variability (HF Causality between heart rate variability and depression cannot be derived in this cross-sectional study. Longitudinal studies are needed to examine the effects remitted depressive episodes on autonomic function. The findings suggest differential autonomic profile for remitted early-onset and late-onset mid-later life adults during sleep stages and wake periods. The differences could potentially serve as peripheral biomarkers in conjunction with more disease-specific markers of depression to improve diagnosis and prognosis.

Sections du résumé

BACKGROUND BACKGROUND
In mid-later life adults, early-onset and late-onset (i.e., onset ≥50 years) depression appear to be underpinned by different pathophysiology yet have not been examined in relation to autonomic function. Sleep provides an opportunity to examine the autonomic nervous system as the physiology changes across the night. Hence, we aimed to explore if autonomic profile is altered in mid-later life adults with remitted early-onset, late-onset and no history of lifetime depression.
METHODS METHODS
Participants aged 50-90 years (n = 188) from a specialised clinic underwent a comprehensive clinical assessment and completed an overnight polysomnography study. General Linear Models were used to examine the heart rate variability differences among the three groups for four distinct sleep stages and the wake after sleep onset. All analyses controlled for potential confounders - age, sex, current depressive symptoms and antidepressant usage.
RESULTS RESULTS
For the wake after sleep onset, mid-later life adults with remitted early-onset depression had reduced standard deviation of Normal to Normal intervals (SDNN; p = .014, d = -0.64) and Shannon Entropy (p = .004, d = -0.46,) than those with no history of lifetime depression. Further, the late-onset group showed a reduction in high-frequency heart rate variability (HF
LIMITATIONS CONCLUSIONS
Causality between heart rate variability and depression cannot be derived in this cross-sectional study. Longitudinal studies are needed to examine the effects remitted depressive episodes on autonomic function.
CONCLUSION CONCLUSIONS
The findings suggest differential autonomic profile for remitted early-onset and late-onset mid-later life adults during sleep stages and wake periods. The differences could potentially serve as peripheral biomarkers in conjunction with more disease-specific markers of depression to improve diagnosis and prognosis.

Identifiants

DOI: 10.1016/j.jad.2024.04.054 PMID: 38701901
pubmed: 38701901
pii: S0165-0327(24)00658-X
doi: 10.1016/j.jad.2024.04.054
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 The Author(s). Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest Professor Ian Hickie is the Co-Director, Health and Policy at the Brain and Mind Centre (BMC) University of Sydney. The BMC operates an early-intervention youth services at Camperdown under contract to headspace. He is the Chief Scientific Advisor to, and a 3.2 % equity shareholder in, InnoWell Pty Ltd. InnoWell was formed as a joint venture by the University of Sydney (32 % equity) and PwC (Australia; 32 % equity) to deliver the $30 m Australian Government-funded Project Synergy (2017-20; a three-year program for the transformation of mental health services) and to lead transformation of mental health services internationally through the use of innovative technologies. The remaining authors have no conflicts of interest to declare.

Auteurs

Shawn D X Kong (SDX)

School of Psychology, Faculty of Science, University of Sydney, Sydney, NSW, Australia; Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Camperdown, NSW 2050, Australia; Charles Perkins Centre, University of Sydney, Camperdown, NSW 2050, Australia; CogSleep, Australian National Health and Medical Research Council Centre of Research Excellence, Australia. Electronic address: dexiao.kong@sydney.edu.au.

Nicole Espinosa (N)

School of Psychology, Faculty of Science, University of Sydney, Sydney, NSW, Australia; Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Camperdown, NSW 2050, Australia.

Andrew C McKinnon (AC)

School of Psychology, Faculty of Science, University of Sydney, Sydney, NSW, Australia; Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Camperdown, NSW 2050, Australia; Charles Perkins Centre, University of Sydney, Camperdown, NSW 2050, Australia; Race Against Dementia, Dementia Australia Research Foundation Initiative, Dementia Australia, Australia.

Christopher J Gordon (CJ)

CogSleep, Australian National Health and Medical Research Council Centre of Research Excellence, Australia; Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Macquarie University, Glebe, NSW 2037, Australia; Faculty of Medicine and Health, Royal North Shore Hospital, Sydney 2050, Australia.

Rick Wassing (R)

Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Macquarie University, Glebe, NSW 2037, Australia; School of Psychological Sciences, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, Australia; Sydney Local Health District, Sydney, NSW, Australia.

Camilla M Hoyos (CM)

Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Macquarie University, Glebe, NSW 2037, Australia; School of Psychological Sciences, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, Australia.

Ian B Hickie (IB)

Youth Mental Health Team, Brain and Mind Centre, The University of Sydney, Camperdown, NSW, Australia.

Sharon L Naismith (SL)

School of Psychology, Faculty of Science, University of Sydney, Sydney, NSW, Australia; Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Camperdown, NSW 2050, Australia; Charles Perkins Centre, University of Sydney, Camperdown, NSW 2050, Australia; CogSleep, Australian National Health and Medical Research Council Centre of Research Excellence, Australia.

Classifications MeSH