← Back
Publicaciones

Development and Internal Validation of a Multivariable Prediction Model for Anxiety and Depression Among Cervical Cancer Survivors at a Tertiary Hospital in Seville, Spain

Authors

Garcia, Jorge Cea , Maraver, Francisco Marquez , Rios-Pena, Laura , Rodriguez, M. Carmen Rubio , Jimenez, Inmaculada Rodriguez

External publication

No

Means

Indian J. Gynecol. Oncol.

Scope

Article

Nature

Científica

JCR Quartile

SJR Quartile

SJR Impact

0.158

Publication date

01/12/2023

ISI

001106604400001

Abstract

PurposeTo determine the prevalence of anxiety and depression in cervical cancer survivors and to create a predictive model for their occurrence.MethodsBetween January 2010 and January 2019, we conducted a prospective cohort study at a tertiary hospital. One hundred and six participants were recruited. The FACT-Cx v4.0 questionnaire and the HADS were employed for monitoring emotional well-being and anxiety/depression, respectively. The statistical software R was used and a binary generalized linear model was applied.ResultsDepression, anxiety, and mixed anxiety-depressive disorder were diagnosed in 12.67%, 6.06%, and 6.57% of the study population, respectively. Comorbidities, previous depression, FIGO stage, and the personal and concerns domains of the FACT-Cx were the predictors. The developed generalized linear model was reliable (C-index = 0.84), well-fitting (HL GOF p = 0.316), and internally validated.ConclusionsDepression, anxiety, and mixed anxiety-depressive disorder were diagnosed in 12.67%, 6.06%, and 6.57% of cervical cancer survivors, respectively. Comorbidities, previous depression, FIGO stage, and the personal and concerns domains of the FACT-Cx were the predictors for their occurrence.

Keywords

Quality of life; Radiotherapy; Surgical Oncology; Uterine cervical neoplasms