A meta-analysis on heart rate variability biofeedback and depressive symptoms

Area of Science:

• Psychophysiology
• Clinical Psychology
• Mental Health Interventions

Background:

• Depressive symptoms are a common mental health issue, often co-occurring with other psychopathological and medical conditions.
• Heart rate variability biofeedback (HRVB) has emerged as a potential intervention for managing depressive symptoms.

Purpose of the Study:

• To conduct a meta-analysis evaluating the effectiveness of HRVB in reducing depressive symptoms in adult patients.
• To explore potential moderators of HRVB's efficacy, including publication year and symptom assessment methods.

Main Methods:

• A comprehensive literature search was performed across major databases (PubMed, ProQuest, Ovid PsycInfo, Embase) up to October 2020.
• Fourteen randomized controlled trials (RCTs) involving 794 participants were included in the meta-analysis.
• Meta-regressions were conducted to assess the influence of publication year and symptom assessment tools on treatment outcomes.

Main Results:

• The meta-analysis revealed a medium mean effect size (g = 0.38), indicating a significant reduction in depressive symptoms (p = 0.0006).
• Significant heterogeneity was observed among studies (I² = 45%), suggesting moderate variance in results.
• Publication year and the specific questionnaire used for symptom assessment were identified as significant moderators, influencing the intervention's effect and reducing heterogeneity.

Conclusions:

• HRVB demonstrates efficacy in improving depressive symptoms across various psychophysiological conditions in adult populations.
• The findings support HRVB as a valid and effective technique for enhancing psychological well-being.
• Further research may benefit from considering the identified moderators to optimize HRVB interventions.