Evidence map›Paper›PMID 40642181›Full record

ArticleWomen's health reports (New Rochelle, N.Y.)2025

Prenatal Self-Evaluation Questionnaire in Peruvian Women: Analysis Through the Psychometric Network.

Antonio Serpa-Barrientos, Juan Jose Gabriel Artica Martinez, Enrique Giovanni Pérez-Flores, Jacksaint Saintila

Abstract read
In one paragraph

Article in Women's health reports (New Rochelle, N.Y.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Antonio Serpa-BarrientosDepartment of Psychology, Universidad Nacional Mayor de San Marcos, Lima, Peru.
Juan Jose Gabriel Artica MartinezDepartment of Psychology, Universidad Nacional Mayor de San Marcos, Lima, Peru.
Enrique Giovanni Pérez-FloresDepartment of Psychology, Universidad Privada del Norte, Lima, Peru.
Jacksaint SaintilaSchool of Medicine, Faculty of Health Sciences, Universidad Señor de Sipán, Chiclayo, Peru.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lederman designed the prenatal self-evaluation questionnaire, which is a widely used tool for evaluating the psychological well-being and health perception of women during pregnancy. However, its structure and reliability may vary according to the population and cultural context in which it is applied. In Peru, no exhaustive studies have been conducted to validate the psychometric properties of this questionnaire. Objective: Assess the psychometric properties of Lederman-designed prenatal self-evaluation questionnaire in a sample of Peruvian women using the network approach (BootEGA). Methods: An instrumental investigation was conducted involving 790 women whose ages ranged from 18 to 45 years ( Results: The results obtained revealed the presence of a network structure consisting of five dimensions. These dimensions showed stability levels (0.70) and optimal average loads (0.15), supporting the idea that Lederman designed the prenatal self-evaluation questionnaire be composed of five different dimensions. Furthermore, structural consistency showed that the questionnaire is accurate and stable, with estimates <0.99. Conclusion: Using the network method, the psychometric robustness of the Lederman-designed prenatal self-evaluation questionnaire was satisfactorily validated in the sample of Peruvian women. These findings reinforce the questionnaire's relevance as a reliable tool for assessing psychological well-being during pregnancy, providing valuable insights for maternal health professionals.

Indexed as

network analysispregnancypsychometricsreliabilityself-assessmentvalidity

Identifiers

PMID40642181
PMCPMC12241840

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.