Evidence map›Paper›PMID 34253508›Full record

ArticleJMIR aging2021

A Sociodemographic Profile of Mask Use During the COVID-19 Outbreak Among Young and Elderly Individuals in Brazil: Online Survey Study.

Rodrigo L Vancini, Luiz Camargo-Neto, Marilia S Andrade, Claudio A de Lira, Rafaela G Dos Santos, Pantelis T Nikolaidis, Beat Knechtle, Luiz Hv Piacezzi, Maria Cb Teixeira-Lopes, Ruth E Assayag-Batista and 2 more

Abstract read
In one paragraph

Article in JMIR aging, 2021. 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
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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

12 authors.

Rodrigo L VanciniUniversidade Federal do Espírito Santo, Espírito Santo, Brazil.ORCID https://orcid.org/0000-0003-1981-1092
Luiz Camargo-NetoEscola Paulista de Enfermagem, Universidade Federal de São Paulo, São Paulo, Brazil.ORCID https://orcid.org/0000-0003-4653-1395
Marilia S AndradeDepartamento de Fisiologia, Universidade Federal de São Paulo, São Paulo, Brazil.ORCID https://orcid.org/0000-0002-7004-4565
Claudio A de LiraSetor de Fisiologia Humana e do Exercício, Faculdade de Educação Física e Dança, Universidade Federal de Goiás, Goiânia, Brazil.ORCID https://orcid.org/0000-0001-5749-6877
Rafaela G Dos SantosCampus X, Teixeira de Freitas, Universidade do Estado da Bahia, Bahia, Brazil.ORCID https://orcid.org/0000-0002-5108-3569
Pantelis T NikolaidisSchool of Health and Caring Sciences, University of West Attica, Athens, Greece.ORCID https://orcid.org/0000-0001-8030-7122
Beat KnechtleInstitute of Primary Care, University of Zurich, Zürich, Switzerland.ORCID https://orcid.org/0000-0002-2412-9103
Luiz Hv PiacezziEscola Paulista de Enfermagem, Universidade Federal de São Paulo, São Paulo, Brazil.ORCID https://orcid.org/0000-0003-4595-2753
Maria Cb Teixeira-LopesEscola Paulista de Enfermagem, Universidade Federal de São Paulo, São Paulo, Brazil.ORCID https://orcid.org/0000-0002-6944-3008
Ruth E Assayag-BatistaEscola Paulista de Enfermagem, Universidade Federal de São Paulo, São Paulo, Brazil.ORCID https://orcid.org/0000-0002-6416-1079
Meiry F Pinto-OkunoEscola Paulista de Enfermagem, Universidade Federal de São Paulo, São Paulo, Brazil.ORCID https://orcid.org/0000-0003-4200-1186
Cássia R Vancini-CampanharoEscola Paulista de Enfermagem, Universidade Federal de São Paulo, São Paulo, Brazil.ORCID https://orcid.org/0000-0002-7688-2674

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSociodemographic variables may impact decision making regarding safety measures. The use and selection of adequate face masks is a safety and health measure that could help minimize the spread of COVID-19 infection.

objectiveThis study aims to examine sociodemographic variables and factors relating to COVID-19 that could impact decision making or the choice to use or not use face masks in the prevention and care of a possible COVID-19 infection among a large sample of younger and older Brazilian people.

methodsAn online survey composed of 14 closed-ended questions about sociodemographic variables and COVID-19 was used. A total of 2673 participants consisted of Brazilian people (aged ≥18 years) from different states of Brazil and were grouped according to age (≤59 years and ≥60 years). To compare the variables of interest (associated with wearing a face mask or not), chi-square and likelihood ratio tests were used (with P<.05 being significant).

resultsMost of the participants in both groups were women from the southeast region who had postgraduate degrees. Approximately 61% (1452/2378) of individuals aged ≤59 years and 67.8% (200/295) of those aged ≥60 years were not health professionals. In the group aged ≤59 years, 83.4% (1983/2378) did not show COVID-19 signs and symptoms, and 97.3% (2314/2378) were not diagnosed with COVID-19. In the older adult group, 92.5% (273/295) did not show signs and symptoms of COVID-19, and 98.3% (290/295) were not diagnosed with the disease. The majority of the participants in both groups reported using face masks, and their decision to use face masks was influenced by the level of education and their occupation as a health professional.

conclusionsYounger and older adults have worn face masks during the COVID-19 outbreak. It is difficult to measure how much of a positive impact this attitude, habit, and behavior could have on the degree of infection and spread of the disease. However, it can be a positive indicator of adherence to the population's security and safety measures during the pandemic.

Indexed as

adolescentsagingCOVID-19face maskolder adultsonline mediapandemicsocial mediasociodemographic profile

Identifiers

PMID34253508
PMCPMC8448082

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.