Evidence map›Paper›PMID 35704360›Full record

ArticleJMIR public health and surveillance2022

Social Determinants in Self-Protective Behavior Related to COVID-19: Association Rule-Mining Study.

Gabriel Urbanin, Wagner Meira, Alexandre Serpa, Danielle de Souza Costa, Leonardo Baldaçara, Ana Paula da Silva, Rafaela Guatimosim, Anísio Mendes Lacerda, Eduardo Araújo Oliveira, Andre Braule and 5 more

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

15 authors.

Gabriel UrbaninDepartamento de Ciência da Computação, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID 0000-0001-7948-4412
Wagner MeiraDepartamento de Ciência da Computação, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID 0000-0002-2614-2723
Alexandre SerpaInstituto de Saúde Mental Baseada em Evidências, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID 0000-0002-1924-2128
Danielle de Souza CostaInstituto de Saúde Mental Baseada em Evidências, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID 0000-0001-6883-5133
Leonardo BaldaçaraInstituto de Saúde Mental Baseada em Evidências, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID 0000-0002-5201-8515
Ana Paula da SilvaDepartamento de Ciência da Computação, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID 0000-0001-5951-3562
Rafaela GuatimosimInstituto de Saúde Mental Baseada em Evidências, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID 0000-0002-3449-3224
Anísio Mendes LacerdaDepartamento de Ciência da Computação, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID 0000-0002-2483-7572
Eduardo Araújo OliveiraDepartamento de Pediatria, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID 0000-0002-5642-7164
Andre BrauleInstituto de Saúde Mental Baseada em Evidências, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID 0000-0001-9589-5756
Marco Aurélio Romano-SilvaCentro de Tecnologia em Medicina Molecular, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID 0000-0002-6558-4639
Antônio Geraldo da SilvaInstituto de Saúde Mental Baseada em Evidências, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID 0000-0003-3423-7076
Leandro Malloy-DinizInstituto de Saúde Mental Baseada em Evidências, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID 0000-0002-6606-1354
Gisele PappaDepartamento de Ciência da Computação, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID 0000-0002-0349-4494
Débora Marques MirandaInstituto de Saúde Mental Baseada em Evidências, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID 0000-0002-7081-8401

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHuman behavior is crucial in health outcomes. Particularly, individual behavior is a determinant of the success of measures to overcome critical conditions, such as a pandemic. In addition to intrinsic public health challenges associated with COVID-19, in many countries, some individuals decided not to get vaccinated, streets were crowded, parties were happening, and businesses struggling to survive were partially open, despite lockdown or stay-at-home instructions. These behaviors contrast with the instructions for potential benefits associated with social distancing, use of masks, and vaccination to manage collective and individual risks.

objectiveConsidering that human behavior is a result of individuals' social and economic conditions, we investigated the social and working characteristics associated with reports of appropriate protective behavior in Brazil.

methodsWe analyzed data from a large web survey of individuals reporting their behavior during the pandemic. We selected 3 common self-care measures: use of protective masks, distancing by at least 1 m when out of the house, and handwashing or use of alcohol, combined with assessment of the social context of respondents. We measured the frequency of the use of these self-protective measures. Using a frequent pattern-mining perspective, we generated association rules from a set of answers to questions that co-occur with at least a given frequency, identifying the pattern of characteristics of the groups divided according to protective behavior reports.

resultsThe rationale was to identify a pool of working and social characteristics that might have better adhesion to behaviors and self-care measures, showing these are more socially determined than previously thought. We identified common patterns of socioeconomic and working determinants of compliance with protective self-care measures. Data mining showed that social determinants might be important to shape behavior in different stages of the pandemic.

conclusionsIdentification of context determinants might be helpful to identify unexpected facilitators and constraints to fully follow public policies. The context of diseases contributes to psychological and physical health outcomes, and context understanding might change the approach to a disease. Hidden social determinants might change protective behavior, and social determinants of protective behavior related to COVID-19 are related to work and economic conditions.

trial registrationNot applicable.

Indexed as

COVID-19Communicable Disease ControlHumansPandemicsSARS-CoV-2Social Determinants of HealthbehaviorBrazilcharacteristiccomplianceCOVID-19data miningmaskpolicyprotectionpublic healthrisksanitationself-protective behaviorsocial determinants

Identifiers

PMID35704360
PMCPMC9202654

What OpenQuestion holds

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LicenceCC BY
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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.