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Published on: June 13, 2021
Depression During Pregnancy Risk Scale: elaboration of a theoretical model
Mônica Maria de Jesus Silva1, Maria José Clapis1
1Departamento de Enfermagem Materno-Infantil e Saúde Pública, Escola de Enfermagem de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP, Brasil.
This study proposes a theoretical model for assessing the risk of depression during pregnancy. This foundational work aids in developing a new scale to identify and manage depression during pregnancy risks.
Area of Science:
- Psychology
- Obstetrics
- Public Health
Background:
- Depression during pregnancy poses significant risks to maternal and fetal well-being.
- Existing assessment tools may not fully capture the multifaceted nature of this risk.
- A validated scale is needed to identify and manage depression during pregnancy effectively.
Purpose of the Study:
- To propose a theoretical model for the construct of risk of depression during pregnancy.
- To lay the groundwork for building and validating the Depression during Pregnancy Risk Scale.
- To enhance the understanding of depression during pregnancy risk factors and consequences.
Main Methods:
- Theoretical study employing Pasquali's methodology for elaborating theoretical models.
- Defined the psychological object as 'risk of depression during pregnancy'.
- Established dimensionality through antecedents (risk factors) and consequences of depression during pregnancy.
Main Results:
- A theoretical model was developed for the construct risk of depression during pregnancy.
- The model articulates concepts including antecedents and consequences impacting pregnant women's health.
- This theoretical framework contributes to the development of an original, validated scale.
Conclusions:
- The proposed theoretical model provides a robust framework for understanding depression during pregnancy risk.
- This study is a crucial first step in creating a psychometrically sound Depression during Pregnancy Risk Scale.
- The model's focus on antecedents and consequences can inform targeted interventions for pregnant women.
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