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The use of biofeedback intervention in the improvement of depression levels: a randomised trial

Published online by Cambridge University Press:  11 January 2021

Willams Henrique da Costa Maynart*
Affiliation:
School of Nursing. Federal University of Alagoas, Maceió, Alagoas, Brazil
Maria Cicera dos Santos de Albuquerque
Affiliation:
School of Nursing. Federal University of Alagoas, Maceió, Alagoas, Brazil
Regina Célia Sales Santos
Affiliation:
School of Nursing. Federal University of Alagoas, Maceió, Alagoas, Brazil
Patrícia de Albuquerque Sarmento
Affiliation:
School of Nursing. Federal University of Alagoas, Maceió, Alagoas, Brazil
Jadelson Júnior da Silva
Affiliation:
School of Nursing. Federal University of Alagoas, Maceió, Alagoas, Brazil
Christine de Sousa Gomes Costa
Affiliation:
School of Nursing. Federal University of Alagoas, Maceió, Alagoas, Brazil
Jessica Diodino da Silva Santos
Affiliation:
School of Nursing. Federal University of Alagoas, Maceió, Alagoas, Brazil
Crislane de Oliveira Pontes
Affiliation:
School of Nursing. Federal University of Alagoas, Maceió, Alagoas, Brazil
Marcela Cristina dos Santos Barros
Affiliation:
School of Nursing. Federal University of Alagoas, Maceió, Alagoas, Brazil
Flaviane Maria Pereira Belo
Affiliation:
School of Nursing. Federal University of Alagoas, Maceió, Alagoas, Brazil
Christefany Régia Braz Costa
Affiliation:
Ribeirão Preto College of Nursing, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
Cyro Rego Cabral Júnior
Affiliation:
School of Nutrition. Federal University of Alagoas, Maceió, Alagoas, Brazil
*
Author for correspondence: Willams Henrique da Costa Maynart, Email: willamshcmaynart@hotmail.com

Abstract

Objective:

To evaluate the use of biofeedback intervention in the levels of depression. The main hypothesis tested if the use of biofeedback improves depression levels compared to the control group.

Methods:

A randomised clinical trial. The final sample was composed of 36 participants (18 in the experimental group, receiving 6 training, once a week, with biofeedback; and 18 in the control group, who received conventional treatment in the service).Outcome measures were assessed in two stages: pre-test and post-test. The research used the following instruments: demographic survey data, Mini International Neuropsychiatric Interview 5.0.0 and Beck Depression Inventory (BDI). The factors and variables were presented in terms of descriptive and inferential statistics. Fisher’s exact test (p < 0.05) was used to verify the existence of an association between the counting variables. The multinomial logistic regression model was adopted, and the Logit link function was used, as the software RStudio version 3.6.2.

Results:

The factors that remained in the final model were group, sex, partner, atypical antidepressant, benzodiazepines, mood stabiliser, antiepileptic and antihistamine, according to the levels of depression based on the BDI. The group that did not receive biofeedback intervention had 16 times more chances of increasing the depression levels compared to participants in the experimental group.

Conclusion:

The use of biofeedback reduces depression, thus, representing a complementary alternative for the treatment of moderate and severe depression, and dysthymia.

Type
Original Article
Copyright
© The Author(s), 2021. Published by Cambridge University Press

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