Use este identificador para citar ou linkar para este item: http://hdl.handle.net/1843/60514
Tipo: Artigo de Periódico
Título: Social Determinants in Self-Protective Behavior Related to COVID-19: Association Rule–Mining Study
Autor(es): Gabriel Urbanin
André Luiz de Carvalho Braule Pinto
Marco Aurélio Romano-silva
Antônio Geraldo da Silva
Leandro Malloy-diniz
Gisele Pappa
Débora Marques Miranda
Wagner Meira
Alexandre Serpa
Danielle de Souza Costa
Leonardo Baldaçara
Ana Paula da Silva
Rafaela Guatimosim
Anísio Mendes Lacerda
Eduardo Araújo Oliveira
Resumo: Background: Human 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. Objective: Considering 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. Methods: We 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. Results: The 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. Conclusions: Identification 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.
Assunto: Brasil
Saúde Pública
Risco
Máscaras
Políticas
Saúde Pública
Complacência (Medida de Distensibilidade)
Saneamento
Comportamento
Fatores de Proteção
Fatores de Proteção
Mineração de Dados
Idioma: eng
País: Brasil
Editor: Universidade Federal de Minas Gerais
Sigla da Instituição: UFMG
Departamento: FAF - DEPARTAMENTO DE PSICOLOGIA
FAFICH - FACULDADE DE FILOSOFIA E CIENCIAS HUMANAS
ICX - DEPARTAMENTO DE CIÊNCIA DA COMPUTAÇÃO
MED - DEPARTAMENTO DE PEDIATRIA
MED - DEPARTAMENTO DE SAÚDE MENTAL
Tipo de Acesso: Acesso Aberto
Identificador DOI: https://doi.org/10.2196/34020
URI: http://hdl.handle.net/1843/60514
Data do documento: 15-Jun-2022
metadata.dc.url.externa: https://publichealth.jmir.org/2022/6/e34020
metadata.dc.relation.ispartof: JMIR Public Health Surveill
Aparece nas coleções:Artigo de Periódico

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