Is the Beck Depression Inventory (BDI) a Useful Tool for Predicting IVF Success?

<i>Background and Objectives</i>: Infertility is a global problem. The interaction between depression and infertility seems bidirectional, and depression may negatively influence IVF outcomes. The Beck Depression Inventory (BDI) is one of the most extensively used instruments for diagnos...

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Main Authors: Dragiša Šljivancanin, Snežana Vidaković, Darija Kisić Tepavčević, Bojana Petrović, Una Šljivančanin, Milan Dokić
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Medicina
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Online Access:https://www.mdpi.com/1648-9144/61/1/99
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author Dragiša Šljivancanin
Snežana Vidaković
Darija Kisić Tepavčević
Bojana Petrović
Una Šljivančanin
Milan Dokić
author_facet Dragiša Šljivancanin
Snežana Vidaković
Darija Kisić Tepavčević
Bojana Petrović
Una Šljivančanin
Milan Dokić
author_sort Dragiša Šljivancanin
collection DOAJ
description <i>Background and Objectives</i>: Infertility is a global problem. The interaction between depression and infertility seems bidirectional, and depression may negatively influence IVF outcomes. The Beck Depression Inventory (BDI) is one of the most extensively used instruments for diagnosing depression. The aim of this study was to assess the dynamics of depression in patients undergoing IVF utilizing the BDI. <i>Materials and Methods</i>: This prospective cohort study was conducted at the Clinic for Gynecology and Obstetrics of the University Clinical Center of Serbia in Belgrade, Serbia during the year 2019. Both partners in the IVF program were required to complete the paper-based BDI 5 to 10 days before starting ovarian stimulation, within the 48 h preceding oocyte aspiration and four weeks after embryo transfer. We sought to identify potential predictors of a favorable IVF outcome by using logistic regression modeling. <i>Results</i>: Our study enrolled 86 couples. The overall IVF efficacy in our cohort was 18.6%. A statistically significant logistic regression model (<i>p</i> = 0.001) managed to explain 47.6% of the variability. Increasing patient age, the presence of depression (BDI > 16) and the number of failed IVF cycles were found to be significant negative predictors of ongoing IVF success. <i>Conclusions</i>: Depression is more common in patients undergoing IVF than in the general population. Depression might increase the odds of IVF failure, lending credence to the idea that depression screening using BDI should be a routine part of the IVF process.
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spelling doaj-art-aacd0d99f0604a0d813355aaec9a5e4b2025-01-24T13:40:36ZengMDPI AGMedicina1010-660X1648-91442025-01-016119910.3390/medicina61010099Is the Beck Depression Inventory (BDI) a Useful Tool for Predicting IVF Success?Dragiša Šljivancanin0Snežana Vidaković1Darija Kisić Tepavčević2Bojana Petrović3Una Šljivančanin4Milan Dokić5Clinic for Obstetrics and Gynecology, 11000 Belgrade, SerbiaClinic for Obstetrics and Gynecology, 11000 Belgrade, SerbiaObstetrics and Gynecology Department, Faculty of Medicine, University of Belgrade, 11000 Belgrade, SerbiaClinic for Obstetrics and Gynecology, 11000 Belgrade, SerbiaClinic for Obstetrics and Gynecology, 11000 Belgrade, SerbiaClinic for Obstetrics and Gynecology, 11000 Belgrade, Serbia<i>Background and Objectives</i>: Infertility is a global problem. The interaction between depression and infertility seems bidirectional, and depression may negatively influence IVF outcomes. The Beck Depression Inventory (BDI) is one of the most extensively used instruments for diagnosing depression. The aim of this study was to assess the dynamics of depression in patients undergoing IVF utilizing the BDI. <i>Materials and Methods</i>: This prospective cohort study was conducted at the Clinic for Gynecology and Obstetrics of the University Clinical Center of Serbia in Belgrade, Serbia during the year 2019. Both partners in the IVF program were required to complete the paper-based BDI 5 to 10 days before starting ovarian stimulation, within the 48 h preceding oocyte aspiration and four weeks after embryo transfer. We sought to identify potential predictors of a favorable IVF outcome by using logistic regression modeling. <i>Results</i>: Our study enrolled 86 couples. The overall IVF efficacy in our cohort was 18.6%. A statistically significant logistic regression model (<i>p</i> = 0.001) managed to explain 47.6% of the variability. Increasing patient age, the presence of depression (BDI > 16) and the number of failed IVF cycles were found to be significant negative predictors of ongoing IVF success. <i>Conclusions</i>: Depression is more common in patients undergoing IVF than in the general population. Depression might increase the odds of IVF failure, lending credence to the idea that depression screening using BDI should be a routine part of the IVF process.https://www.mdpi.com/1648-9144/61/1/99in vitro fertilizationdepressionBeck’s depression inventory
spellingShingle Dragiša Šljivancanin
Snežana Vidaković
Darija Kisić Tepavčević
Bojana Petrović
Una Šljivančanin
Milan Dokić
Is the Beck Depression Inventory (BDI) a Useful Tool for Predicting IVF Success?
Medicina
in vitro fertilization
depression
Beck’s depression inventory
title Is the Beck Depression Inventory (BDI) a Useful Tool for Predicting IVF Success?
title_full Is the Beck Depression Inventory (BDI) a Useful Tool for Predicting IVF Success?
title_fullStr Is the Beck Depression Inventory (BDI) a Useful Tool for Predicting IVF Success?
title_full_unstemmed Is the Beck Depression Inventory (BDI) a Useful Tool for Predicting IVF Success?
title_short Is the Beck Depression Inventory (BDI) a Useful Tool for Predicting IVF Success?
title_sort is the beck depression inventory bdi a useful tool for predicting ivf success
topic in vitro fertilization
depression
Beck’s depression inventory
url https://www.mdpi.com/1648-9144/61/1/99
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