Evidence map›Paper›PMID 33330330›Full record

ArticleFrontiers in public health

Maternal Distress/Coping and Children's Adaptive Behaviors During the COVID-19 Lockdown: Mediation Through Children's Emotional Experience.

Serena Petrocchi, Annalisa Levante, Federica Bianco, Ilaria Castelli, Flavia Lecciso

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 pooled it
17.8field-weighted citation impact, top 1% 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

30 citing papers in PubMed, 2 syntheses or guidelines pooled it, 63 citations in OpenAlex.

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  16. [Results of surveys to users of IMSS children daycare centers during the COVID-19 pandemic].Revista medica del Instituto Mexicano del Seguro Social · 2022
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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

5 authors at 3 institutions in 2 countries.

Serena PetrocchiInstitute of Communication and Health, Università della Svizzera Italiana, Lugano, Switzerland.
Annalisa LevanteDepartment of History, Society, and Human Studies, University of Salento, Lecce, Italy.
Federica BiancoDepartment of Human and Social Sciences, University of Bergamo, Bergamo, Italy.
Ilaria CastelliDepartment of Human and Social Sciences, University of Bergamo, Bergamo, Italy.
Flavia LeccisoDepartment of History, Society, and Human Studies, University of Salento, Lecce, Italy.
University of Bergamo · ITUniversity of Salento · ITUniversità della Svizzera italiana · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study focused on the psychological impact that the lockdown due to coronavirus disease-19 (COVID-19) had on families in Italy. During the COVID-19 pandemic, the Italian government imposed a strict lockdown for all citizens. People were forced to stay at home, and the length of the lockdown was uncertain. Previous studies analyzed the impact of social distance measures on individuals' mental health, whereas few studies have examined the interplay between the adults' functioning, as parents, during this period and the association with the child's adjustment. The present study tested if maternal distress/coping predicts children's behaviors during the COVID-19 lockdown, hypothesizing a mediation effect

Indexed as

Adaptation, PsychologicalStress, PsychologicalAdultChildChild, PreschoolCOVID-19FemaleHumansItalyMaleMiddle AgedMothersPandemicsSARS-CoV-2Surveys and QuestionnairescopingCOVID-19distressemotionslockdownparent-childquarantineSARS-CoV-2

Identifiers

PMID33330330
PMCPMC7711130
OpenAlexW3105519998

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.