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Can the Healthy Start Risk Screen Predict Perinatal Depressive Symptoms among High-Risk Women?

Objectives: Early detection of depression in at-risk populations is critical for ensuring better maternal and child health outcomes. This study assessed whether Healthy Start Prenatal Risk Screening (HSPRS) could predict depressive symptoms in women enrolled in a Healthy Start (HS) program in under-...

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Autores principales: Wilson, Roneé, Campos, Adriana, Sandhu, Mannat, Sniffen, Sarah, Jones, Rashida, Tackett, Hope, Berry, Estrellita, Louis-Jacques, Adetola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8870092/
https://www.ncbi.nlm.nih.gov/pubmed/35204899
http://dx.doi.org/10.3390/children9020180
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author Wilson, Roneé
Campos, Adriana
Sandhu, Mannat
Sniffen, Sarah
Jones, Rashida
Tackett, Hope
Berry, Estrellita
Louis-Jacques, Adetola
author_facet Wilson, Roneé
Campos, Adriana
Sandhu, Mannat
Sniffen, Sarah
Jones, Rashida
Tackett, Hope
Berry, Estrellita
Louis-Jacques, Adetola
author_sort Wilson, Roneé
collection PubMed
description Objectives: Early detection of depression in at-risk populations is critical for ensuring better maternal and child health outcomes. This study assessed whether Healthy Start Prenatal Risk Screening (HSPRS) could predict depressive symptoms in women enrolled in a Healthy Start (HS) program in under-resourced, high-risk communities of Hillsborough County. Methods: Data from HS participants were included for those who were evaluated using the HSPRS and the Edinburgh Postnatal Depression Scale (EPDS). A correlation analysis determined if the HSPRS score was associated with a positive EPDS screen, and HSPRS questions related to the participants psychosocial environment were assessed individually to determine their predictive potential. The crude odds ratio (OR) and adjusted OR (controlling for sociodemographic covariates) were calculated for each question of interest. Results: A total of 736 women were included, with 122 (16.5%) scoring 14 or greater on the EPDS, indicating probable depression risk. There were significant differences between women at risk for depression compared to those not at risk regarding maternal age (p-value = 0.03) and marital status (p-value = 0.01). There were no significant differences in education, ethnicity, or race. The total HSPRS score had a weak yet significant correlation with the EPDS score (r = 0.14, p-value = 0.0001), and seven individual HSPRS questions were significantly associated with risk for perinatal depression. Conclusions for Practice: By focusing on responses to key HSPRS questions rather than the overall score, women may receive access to much needed services more quickly, thereby reducing the risk for poorer maternal and developmental outcomes. Significance: A young maternal age and single marital status have been identified as risk factors for perinatal depression. Additionally, women from racial/ethnic minority groups or low-income populations are more likely to experience depression. Thus, in communities where women exhibit many pre-identified risk factors for perinatal depression, the ability to quickly identify those at the highest risk is imperative. This work indicates that among medically and socially high-risk mothers enrolled in a HS program, the overall HSPRS score was not as predictive of perinatal depression as individual responses to key questions. Attention to these responses could result in women receiving much needed services quicker.
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spelling pubmed-88700922022-02-25 Can the Healthy Start Risk Screen Predict Perinatal Depressive Symptoms among High-Risk Women? Wilson, Roneé Campos, Adriana Sandhu, Mannat Sniffen, Sarah Jones, Rashida Tackett, Hope Berry, Estrellita Louis-Jacques, Adetola Children (Basel) Review Objectives: Early detection of depression in at-risk populations is critical for ensuring better maternal and child health outcomes. This study assessed whether Healthy Start Prenatal Risk Screening (HSPRS) could predict depressive symptoms in women enrolled in a Healthy Start (HS) program in under-resourced, high-risk communities of Hillsborough County. Methods: Data from HS participants were included for those who were evaluated using the HSPRS and the Edinburgh Postnatal Depression Scale (EPDS). A correlation analysis determined if the HSPRS score was associated with a positive EPDS screen, and HSPRS questions related to the participants psychosocial environment were assessed individually to determine their predictive potential. The crude odds ratio (OR) and adjusted OR (controlling for sociodemographic covariates) were calculated for each question of interest. Results: A total of 736 women were included, with 122 (16.5%) scoring 14 or greater on the EPDS, indicating probable depression risk. There were significant differences between women at risk for depression compared to those not at risk regarding maternal age (p-value = 0.03) and marital status (p-value = 0.01). There were no significant differences in education, ethnicity, or race. The total HSPRS score had a weak yet significant correlation with the EPDS score (r = 0.14, p-value = 0.0001), and seven individual HSPRS questions were significantly associated with risk for perinatal depression. Conclusions for Practice: By focusing on responses to key HSPRS questions rather than the overall score, women may receive access to much needed services more quickly, thereby reducing the risk for poorer maternal and developmental outcomes. Significance: A young maternal age and single marital status have been identified as risk factors for perinatal depression. Additionally, women from racial/ethnic minority groups or low-income populations are more likely to experience depression. Thus, in communities where women exhibit many pre-identified risk factors for perinatal depression, the ability to quickly identify those at the highest risk is imperative. This work indicates that among medically and socially high-risk mothers enrolled in a HS program, the overall HSPRS score was not as predictive of perinatal depression as individual responses to key questions. Attention to these responses could result in women receiving much needed services quicker. MDPI 2022-02-01 /pmc/articles/PMC8870092/ /pubmed/35204899 http://dx.doi.org/10.3390/children9020180 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Wilson, Roneé
Campos, Adriana
Sandhu, Mannat
Sniffen, Sarah
Jones, Rashida
Tackett, Hope
Berry, Estrellita
Louis-Jacques, Adetola
Can the Healthy Start Risk Screen Predict Perinatal Depressive Symptoms among High-Risk Women?
title Can the Healthy Start Risk Screen Predict Perinatal Depressive Symptoms among High-Risk Women?
title_full Can the Healthy Start Risk Screen Predict Perinatal Depressive Symptoms among High-Risk Women?
title_fullStr Can the Healthy Start Risk Screen Predict Perinatal Depressive Symptoms among High-Risk Women?
title_full_unstemmed Can the Healthy Start Risk Screen Predict Perinatal Depressive Symptoms among High-Risk Women?
title_short Can the Healthy Start Risk Screen Predict Perinatal Depressive Symptoms among High-Risk Women?
title_sort can the healthy start risk screen predict perinatal depressive symptoms among high-risk women?
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8870092/
https://www.ncbi.nlm.nih.gov/pubmed/35204899
http://dx.doi.org/10.3390/children9020180
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