Evidence map›Paper›PMID 29190008›Full record

ArticleMaternal and child health journal2018

The Development of the Healthy Pregnancy Stress Scale, and Validation in a Sample of Low-Income African American Women.

Tyralynn Frazier, Carol J Hogue, Kathryn M Yount

Abstract read
In one paragraph

Article in Maternal and child health journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Tyralynn FrazierEmory University School of Public Health, 1518 Clifton Rd, Atlanta, GA, 30322, USA. tfrazi2@emory.edu.
Carol J HogueEmory University School of Public Health, 1518 Clifton Rd, Atlanta, GA, 30322, USA.
Kathryn M YountEmory University School of Public Health, 1518 Clifton Rd, Atlanta, GA, 30322, USA.

Funding

IRACDA Fellowships in Research and Science Training (FIRST)K12GM000680 · NIGMS · EMORY UNIVERSITY · PI BROWN, LOU ANN S, MCCARTY, NAEL A · 2000 to 2024
$41.2M
NIGMS NIH HHS K12 GM000680
6 · The paper itself

Abstract

Objectives The association of stress with pregnancy health is well-known. However, few studies take a mixed methods approach to understand the stressors contributing to a woman's pregnancy-related stress. Among African American women, exposure to stressors during pregnancy likely contributes to disparities in pregnancy health outcomes. This work aimed to understand the types and magnitude of stressors African American women are exposed to during pregnancy. Methods Using a mixed methods research design, we developed and administered the Healthy Pregnancy Stress Scale to measure stressors within the stress environment of African American women living in poverty. Results Exploratory factor analysis with one random split-half sample (N = 85) identified a two-factor model. Factor 1, defined as general pregnancy stressors, had significant loadings for ten items that ranged in magnitude from 0.319 to 0.724. Factor 2, defined as relationship strain, had significant loadings for three items ranging in magnitude from 0.613 to 0.856. Confirmatory factor analysis in the second random split-half sample (N = 88) showed a strong fit for the two factor model with factor loadings similar in magnitude. Standard fit statistics and those that adjust for item non-normality suggested an adequate fit to the data (RMSEA = 0.057, CFI = 0.947, TLI = 0.932; Satorra-Bentler RMSEA = 0.037, CFI = 0.972, TLI = 0.965). Conclusions for Practice Our measurement tool may provide a way to determine differences in pregnancy stress experiences across diverse populations of women. Future research should include a test for construct validity by correlating the scale with other measures that should have a specific directional relationship in diverse populations.

Indexed as

AdultBlack or African AmericanFemaleHumansPovertyPregnancyPsychometricsReproducibility of ResultsReproductive HealthStress, PsychologicalSurveys and QuestionnairesHealth inequitiesMethodsPregnancy stressReproductive health

Identifiers

PMID29190008
PMCPMC5808873

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.