Regional Differences in Various Risk Factors for Postpartum Depression: Applying Mixed Models to the PRAMS Dataset
Janace J. Gifford; Jenna R. Pluchino; Rebecca Della Valle; Jaclyn M. Schwarz · 2021 · Frontiers in Global Women's Health
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
Purpose: The purpose of this study was to assess the association between various risk factors with postpartum depression severity using a large dataset that included variables such as previous mental health status, social factors, societal factors, health care access, and other state-wide or region-specific variables.Methods: We obtained the most recently available (2016–2017) dataset from the Pregnancy Risk Assessment Monitoring System (PRAMS), which is a dataset compiled by the Centers for Disease Control (CDC) that collects state-specific, population-based data on maternal attitudes and exp
Abstract by Janace J. Gifford; Jenna R. Pluchino; Rebecca Della Valle; Jaclyn M. Schwarz, Frontiers in Global Women's Health (2021) — licensed CC BY 4.0.
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Metadata source: DOAJ · DOI 10.3389/fgwh.2021.726422
