Bibliographic citations
Jaramillo, M., Gonzales, F. (2022). Relación entre la presencia de síntomas premenstruales y los niveles de depresión medidos con la Escala de Depresión Postnatal de Edimburgo en mujeres con menos de un año postparto [Universidad Peruana Cayetano Heredia]. https://hdl.handle.net/20.500.12866/12254
Jaramillo, M., Gonzales, F. Relación entre la presencia de síntomas premenstruales y los niveles de depresión medidos con la Escala de Depresión Postnatal de Edimburgo en mujeres con menos de un año postparto []. PE: Universidad Peruana Cayetano Heredia; 2022. https://hdl.handle.net/20.500.12866/12254
@misc{renati/910457,
title = "Relación entre la presencia de síntomas premenstruales y los niveles de depresión medidos con la Escala de Depresión Postnatal de Edimburgo en mujeres con menos de un año postparto",
author = "Gonzales Tello, Flor Tatiana Soledad",
publisher = "Universidad Peruana Cayetano Heredia",
year = "2022"
}
Background: Postpartum depression (PPD) and premenstrual dysphoric disorder (PMDD) frequently affect women's functionality; its association has been previously demonstrated, however, the relationship between each symptom of PMDD and PPD has not been studied. Objective: To evaluate the relationship between each symptom of PMDD and the levels of PPD. Methods: A secondary analysis of a database of 321 women evaluated cross-sectionally in the first year postpartum was conducted, determining the presence of PMDD symptoms, according to the DSM-IV criteria, and the levels of PPD, using the Edinburgh Postnatal Depression Scale (EPDS). A bivariate analysis was performed to determine the variables significantly related to the EPDS scores and, subsequently, a multivariate analysis to find the best predictive model. Results: According to the bivariate analysis, headache (coefficient=3,26; p=0,002) and feeling overwhelmed (coefficient=4,95; p=0,003) are associated with higher scores in the EPDS, even more so than PDDS (coefficient=2,52; p<0,001) as a single variable. Other associated variables were: history of depression (coefficient=2,42; p<0,001), having a partner (coefficient=1,54; p=0,041) and abortion (coefficient=1,44; p=0,034). The multivariate model that best predicts EPDS scores includes feeling overwhelmed, headache, history of major depression, having a partner, history of abortion and age. Conclusions: The individual symptoms of headache and feeling overwhelmed are significantly related to EPDS scores, which could be used to design screening scales for pregnant women, also taking into account other risk factors, such as history of depression, history of abortion and age.
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