Evidence map›Paper›PMID 37556675›Full record

ArticleRevista brasileira de enfermagem2023

Sense of coherence and social support as predictors of mental health during COVID-19 pandemic.

Fabiane Dolphine Fuentes Penachiotti, Mirian Ueda Yamaguchi, Adi Mana, Shifra Sagy, Rute Grossi-Milani

Open access · goldAbstract read
In one paragraph

Article in Revista brasileira de enfermagem, 2023. 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 12% 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, 5 citations in OpenAlex.

  1. Trial
  2. Article
  3. Observational
  4. Article
  5. Article
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.

Fabiane Dolphine Fuentes PenachiottiUniversidade Cesumar. Maringá, Paraná, Brazil.ORCID http://orcid.org/0000-0002-1385-246X
Mirian Ueda YamaguchiUniversidade Cesumar. Maringá, Paraná, Brazil.ORCID http://orcid.org/0000-0001-5065-481X
Adi ManaPeres Academic Center. Rehovot, Israel.ORCID http://orcid.org/0000-0001-7733-7937
Shifra SagyBen-Gurion University of the Negev. Beer Sheva, Israel.ORCID http://orcid.org/0000-0003-2816-2784
Rute Grossi-MilaniUniversidade Cesumar. Maringá, Paraná, Brazil.ORCID http://orcid.org/0000-0003-2918-1266
Centro Universitário Cesumar · BRBen-Gurion University of the Negev · ILPeres Academic Center · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesto verify the role of sense of coherence, sense of national coherence, social support and trust in institutions to predict mental health in Brazilians during the COVID-19 pandemic.

methodsa cross-sectional study, carried out from November, 2020 to January, 2021 via an online survey. Standardized instruments were used. The sample consisted of 1,630 Brazilians. Pearson's correlation and linear regression were performed in data analysis.

resultssense of coherence was the only predictor of anxiety [β= -0.61; p<0.001], explaining 38% of the variance in its scores, while sense of coherence [β= 0.52; p<0.001], sense of national coherence [β= 0.16; p<0.001], and social support [β= 0.15; p<0.001] predicted positive mental health and together explained 51% of its variance.

conclusionsthe findings suggest that sense of coherence, sense of national coherence and social support represent important predictors for mental health and that strengthening these resources, could potentially promote Brazilians' mental health.

Indexed as

COVID-19Sense of CoherenceCross-Sectional StudiesHumansMental HealthPandemicsSocial Support

Identifiers

PMID37556675
PMCPMC10405388
OpenAlexW4385629626

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.