Evidence map›Paper›PMID 35235890›Full record

ArticleMidwifery2022

COVID-19-related stress in postpartum women from Argentina during the second wave in 2021: Identification of impairing and protective factors.

Agustín R Miranda, Mariela V Cortez, Ana V Scotta, Elio A Soria

Open access · greenAbstract read
In one paragraph

Article in Midwifery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.2field-weighted citation impact, top 13% of its field
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

5 citing papers in PubMed, 12 citations in OpenAlex.

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  5. COVID-19 pandemic effects: Examining prenatal internalizing symptoms and infant temperament.Infancy : the official journal of the International Society on Infant Studies
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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 at 1 institution in 1 country.

Agustín R MirandaFacultad de Ciencias Médicas, Escuela de Fonoaudiología, Universidad Nacional de Córdoba, Ciudad Universitaria, Bv. de la Reforma, Córdoba 5014, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas, CONICET, INICSA, Ciudad Universitaria, Bv. de la Reforma, Córdoba 5014, Argentina.
Mariela V CortezFacultad de Ciencias Médicas, Escuela de Fonoaudiología, Universidad Nacional de Córdoba, Ciudad Universitaria, Bv. de la Reforma, Córdoba 5014, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas, CONICET, INICSA, Ciudad Universitaria, Bv. de la Reforma, Córdoba 5014, Argentina.
Ana V ScottaFacultad de Ciencias Médicas, Escuela de Fonoaudiología, Universidad Nacional de Córdoba, Ciudad Universitaria, Bv. de la Reforma, Córdoba 5014, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas, CONICET, INICSA, Ciudad Universitaria, Bv. de la Reforma, Córdoba 5014, Argentina.
Elio A SoriaConsejo Nacional de Investigaciones Científicas y Técnicas, CONICET, INICSA, Ciudad Universitaria, Bv. de la Reforma, Córdoba 5014, Argentina; Facultad de Ciencias Médicas, Cátedra de Biología Celular, Histología y Embriología, Instituto de Biología Celular, Universidad Nacional de Córdoba, Ciudad Universitaria, Bv. de la Reforma, Córdoba 5014, Argentina. Electronic address: easoria@fcm.unc.edu.ar.
Universidad Nacional de Córdoba · AR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePostpartum women are a vulnerable population to pandemic stressors that challenge their psychological well-being. Thus, reliable and valid instruments are necessary to measure pandemic-related stress and to identify risk and protective factors. This work aimed to assess psychometric properties of the COVID-19 Pandemic-Related Stress Scale (PSS-10-C) and associations of maternal pandemic stress with demographic, reproductive and pandemic factors of Argentinian postpartum women during the second COVID-19 wave.

designAn online cross-sectional survey was conducted from April to June 2021.

settingOnline recruitment of postpartum women was carried out during the second wave of COVID-19 in Argentina. This study was conducted in accordance with the Declaration of Helsinki and had the corresponding ethical approval.

participantsThis study was performed on 300 women, aged 18-49 years, up to 12 months postpartum in Argentina. MEASUREMENTS AND

findingsStress was assessed with PSS-10-C, with a sociodemographic questionnaire being used to collect demographic, reproductive and pandemic variables. Statistical analysis included psychometric procedures, structural equation modeling, and multiple regressions. PSS-10-C was a reliable and structurally valid instrument with two subscales, with entire scale, Stress and Coping subscales scoring 17.31 (6.52), 9.70 (4.61) and 7.61 (2.77), respectively. History of mood disorders, pregnancy loss, and unhealthy child during the pandemic predisposed to increased stress (β > 0.10, p < 0.05), whereas having work and practicing breastfeeding promoted coping to face it (β < -0.13, p < 0.05). This situation was impaired by mood changes, loss of happiness, economic changes, fear of contracting COVID-19 -own or by a loved one- (β > 0.11, p < 0.05). KEY

conclusionsThe study highlighted the vulnerability of postpartum women's mental health in the pandemic context, with PSS-10-C being a useful instrument for clinicians and researchers to assess perceived stress. Targeting interventions toward women at higher risk can be highly beneficial for maternal and child health.

Indexed as

COVID-19ArgentinaChildCross-Sectional StudiesFemaleHumansPandemicsPostpartum PeriodPregnancyProtective FactorsSARS-CoV-2Stress, PsychologicalCOVID-19Maternal medicinePandemicsPostpartumRisk factorsStress

Identifiers

PMID35235890
PMCPMC8860463
OpenAlexW4213010164

What OpenQuestion holds

Textmetadata
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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.