Resting State Heart Rate Variability in Depression: An Introductory Narrative Review of Cross-Sectional and

Evelien Van Assche1, Carmen Schiweck2,3

  • 1Department of Psychiatry, University of Münster, 48149 Münster, Germany.

PubMed

Insights

Heart rate variability (HRV) shows potential as a biomarker for depression. Further research is needed to understand its predictive value for future depressive episodes.

Area of Science:

  • Psychiatry and Cardiology
  • Biomarkers in Mental Health

Background:

  • Cardiovascular health and depression share a negative bidirectional relationship, increasing comorbidity, morbidity, and mortality.
  • Heart rate variability (HRV) is increasingly recognized as a potential biomarker for major depressive disorder.

Purpose of the Study:

  • To provide an introductory overview of the evidence linking depression and HRV.
  • To guide researchers in utilizing HRV for depression studies.

Main Methods:

  • Narrative review of cross-sectional and longitudinal studies.
  • Inclusion of observational, pharmacological, and non-pharmacological intervention studies.
  • Highlighting meta-analyses and key studies on depression and HRV.

Main Results:

  • Evidence suggests vagally mediated HRV may help predict future depression.
  • Numerous studies link depression and/or depressive symptoms to HRV.
  • Physiological context, genetics, age, sex, medication, and lifestyle are important confounders.

Conclusions:

  • HRV holds promise as a predictive biomarker for depression.
  • More in-depth and stratified research on HRV is essential for advancing depression research.

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