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

Abstract Heart rate variability biofeedback (HRVB) has been used for a number of years to treat depressive symptoms, a common mental health issue, which is often comorbid with other psychopathological and medical conditions. The aim of the present meta-analysis is to test whether and to what extent...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Silvia F. M. Pizzoli, Chiara Marzorati, Daniele Gatti, Dario Monzani, Ketti Mazzocco, Gabriella Pravettoni
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/dfdd11f16d5a4f74a799a884c159ff49
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:dfdd11f16d5a4f74a799a884c159ff49
record_format	dspace
spelling	oai:doaj.org-article:dfdd11f16d5a4f74a799a884c159ff492021-12-02T11:45:01ZA meta-analysis on heart rate variability biofeedback and depressive symptoms10.1038/s41598-021-86149-72045-2322https://doaj.org/article/dfdd11f16d5a4f74a799a884c159ff492021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-86149-7https://doaj.org/toc/2045-2322Abstract Heart rate variability biofeedback (HRVB) has been used for a number of years to treat depressive symptoms, a common mental health issue, which is often comorbid with other psychopathological and medical conditions. The aim of the present meta-analysis is to test whether and to what extent HRVB is effective in reducing depressive symptoms in adult patients. We conducted a literature search on Pubmed, ProQuest, Ovid PsycInfo, and Embase up to October 2020, and identified 721 studies. Fourteen studies were included in the meta-analysis. Three meta-regressions were also performed to further test whether publication year, the questionnaire used to assess depressive symptoms, or the interval of time between T0 and T1 moderated the effect of HRVB. Overall, we analysed 14 RCTs with a total of 794 participants. The random effect analysis yielded a medium mean effect size g = 0.38 [95% CI = 0.16, 0.60; 95% PI = − 0.19, 0.96], z = 3.44, p = 0.0006. The total heterogeneity was significant, Q T = 23.49, p = 0.03, I 2 = 45%, which suggested a moderate variance among the included studies. The year of publication (χ 2(1) = 4.08, p = 0.04) and the questionnaire used to assess symptoms (χ 2(4) = 12.65, p = 0.01) significantly moderated the effect of the interventions and reduced heterogeneity. Overall, results showed that HRVB improves depressive symptoms in several psychophysiological conditions in adult samples and should be considered as a valid technique to increase psychological well-being.Silvia F. M. PizzoliChiara MarzoratiDaniele GattiDario MonzaniKetti MazzoccoGabriella PravettoniNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Silvia F. M. Pizzoli Chiara Marzorati Daniele Gatti Dario Monzani Ketti Mazzocco Gabriella Pravettoni A meta-analysis on heart rate variability biofeedback and depressive symptoms
description	Abstract Heart rate variability biofeedback (HRVB) has been used for a number of years to treat depressive symptoms, a common mental health issue, which is often comorbid with other psychopathological and medical conditions. The aim of the present meta-analysis is to test whether and to what extent HRVB is effective in reducing depressive symptoms in adult patients. We conducted a literature search on Pubmed, ProQuest, Ovid PsycInfo, and Embase up to October 2020, and identified 721 studies. Fourteen studies were included in the meta-analysis. Three meta-regressions were also performed to further test whether publication year, the questionnaire used to assess depressive symptoms, or the interval of time between T0 and T1 moderated the effect of HRVB. Overall, we analysed 14 RCTs with a total of 794 participants. The random effect analysis yielded a medium mean effect size g = 0.38 [95% CI = 0.16, 0.60; 95% PI = − 0.19, 0.96], z = 3.44, p = 0.0006. The total heterogeneity was significant, Q T = 23.49, p = 0.03, I 2 = 45%, which suggested a moderate variance among the included studies. The year of publication (χ 2(1) = 4.08, p = 0.04) and the questionnaire used to assess symptoms (χ 2(4) = 12.65, p = 0.01) significantly moderated the effect of the interventions and reduced heterogeneity. Overall, results showed that HRVB improves depressive symptoms in several psychophysiological conditions in adult samples and should be considered as a valid technique to increase psychological well-being.
format	article
author	Silvia F. M. Pizzoli Chiara Marzorati Daniele Gatti Dario Monzani Ketti Mazzocco Gabriella Pravettoni
author_facet	Silvia F. M. Pizzoli Chiara Marzorati Daniele Gatti Dario Monzani Ketti Mazzocco Gabriella Pravettoni
author_sort	Silvia F. M. Pizzoli
title	A meta-analysis on heart rate variability biofeedback and depressive symptoms
title_short	A meta-analysis on heart rate variability biofeedback and depressive symptoms
title_full	A meta-analysis on heart rate variability biofeedback and depressive symptoms
title_fullStr	A meta-analysis on heart rate variability biofeedback and depressive symptoms
title_full_unstemmed	A meta-analysis on heart rate variability biofeedback and depressive symptoms
title_sort	meta-analysis on heart rate variability biofeedback and depressive symptoms
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/dfdd11f16d5a4f74a799a884c159ff49
work_keys_str_mv	AT silviafmpizzoli ametaanalysisonheartratevariabilitybiofeedbackanddepressivesymptoms AT chiaramarzorati ametaanalysisonheartratevariabilitybiofeedbackanddepressivesymptoms AT danielegatti ametaanalysisonheartratevariabilitybiofeedbackanddepressivesymptoms AT dariomonzani ametaanalysisonheartratevariabilitybiofeedbackanddepressivesymptoms AT kettimazzocco ametaanalysisonheartratevariabilitybiofeedbackanddepressivesymptoms AT gabriellapravettoni ametaanalysisonheartratevariabilitybiofeedbackanddepressivesymptoms AT silviafmpizzoli metaanalysisonheartratevariabilitybiofeedbackanddepressivesymptoms AT chiaramarzorati metaanalysisonheartratevariabilitybiofeedbackanddepressivesymptoms AT danielegatti metaanalysisonheartratevariabilitybiofeedbackanddepressivesymptoms AT dariomonzani metaanalysisonheartratevariabilitybiofeedbackanddepressivesymptoms AT kettimazzocco metaanalysisonheartratevariabilitybiofeedbackanddepressivesymptoms AT gabriellapravettoni metaanalysisonheartratevariabilitybiofeedbackanddepressivesymptoms
_version_	1718395315017482240

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

Ejemplares similares